From e277bc71f4aa88bdd213c0c68d7c490f2165c9e0 Mon Sep 17 00:00:00 2001 From: Jacob Hatef <74274091+jahatef@users.noreply.github.com> Date: Mon, 30 Oct 2023 21:48:59 -0400 Subject: [PATCH 01/99] fix lion optimizer documentation (#1067) * fix lion optimizer documentation * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions --- configs/neox_arguments.md | 2 +- megatron/neox_arguments/neox_args.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 1f3511456..c88f90e5d 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = a97bd1f + Default = 8ebf7c6 current git hash of repository diff --git a/megatron/neox_arguments/neox_args.py b/megatron/neox_arguments/neox_args.py index e1a58b6d9..8d0953da2 100644 --- a/megatron/neox_arguments/neox_args.py +++ b/megatron/neox_arguments/neox_args.py @@ -390,7 +390,7 @@ class NeoXArgsOptimizer(NeoXArgsTemplate): "adam", "onebitadam", "cpu_adam", "cpu_torch_adam", "sm3", "madgrad_wd", "sgd", "lion" ] = "adam" """ - Type of optimizer to use. Choose from ['adam', 'onebitadam', 'cpu_adam', 'cpu_torch_adam', 'sm3', 'madgrad_wd', 'sgd'] + Type of optimizer to use. Choose from ['adam', 'onebitadam', 'cpu_adam', 'cpu_torch_adam', 'sm3', 'madgrad_wd', 'sgd', 'lion'] NOTE: sgd will use MuSGD from Mup. Mup must be enabled for this optimizer. """ From f574f22bbfaa65a81a668e96cbb9a71283460db6 Mon Sep 17 00:00:00 2001 From: Quentin Anthony Date: Mon, 30 Oct 2023 21:50:27 -0400 Subject: [PATCH 02/99] Fix preprocess_data.py link (#1064) * Fix preprocess_data.py link * Update NeoXArgs docs automatically * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions --- configs/neox_arguments.md | 2 +- tools/datasets/corpora.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index c88f90e5d..2d7794105 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 8ebf7c6 + Default = 2ff807d current git hash of repository diff --git a/tools/datasets/corpora.py b/tools/datasets/corpora.py index 35977b908..9056b8f97 100644 --- a/tools/datasets/corpora.py +++ b/tools/datasets/corpora.py @@ -141,7 +141,7 @@ def tokenize(self): [os.path.join(parent_folder, os.path.basename(url)) for url in self.urls] ) - cmd = f"python tools/preprocess_data.py \ + cmd = f"python tools/datasets/preprocess_data.py \ --input {jsonl_filepath} \ --output-prefix {parent_folder}/{self.name} \ --vocab {self.vocab_file} \ From fcc5af5b948318a53042bc82dce4c6c9e3794e3d Mon Sep 17 00:00:00 2001 From: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com> Date: Tue, 31 Oct 2023 23:46:00 -0400 Subject: [PATCH 03/99] Edge-casing for multi-GPU HF-to-NeoX conversion (#1065) * edge-casing for multiGPU hf to sequential case * cleanup whitespace * Update NeoXArgs docs automatically * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions Co-authored-by: Quentin Anthony --- configs/neox_arguments.md | 2 +- tools/ckpts/convert_hf_to_sequential.py | 6 +++--- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 2d7794105..2b23f2207 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 2ff807d + Default = 7c50e77 current git hash of repository diff --git a/tools/ckpts/convert_hf_to_sequential.py b/tools/ckpts/convert_hf_to_sequential.py index 8a3902bce..be445ec72 100644 --- a/tools/ckpts/convert_hf_to_sequential.py +++ b/tools/ckpts/convert_hf_to_sequential.py @@ -519,7 +519,7 @@ def get_non_existing_dir(tmp_dir): model, optimizer, _, lr_scheduler = deepspeed.initialize( model=model, optimizer=optimizer, - args=neox_args, + # args=neox_args, lr_scheduler=lr_scheduler, dist_init_required=False, model_parameters=None, @@ -527,7 +527,7 @@ def get_non_existing_dir(tmp_dir): mpu=mpu if not neox_args.is_pipe_parallel else None, ) - if os.environ["OMPI_COMM_WORLD_RANK"] == "0": + if os.environ.get("OMPI_COMM_WORLD_RANK", "1") == "0": os.makedirs(f"{tmp_cache_dir}", exist_ok=True) torch.distributed.barrier() @@ -566,7 +566,7 @@ def get_non_existing_dir(tmp_dir): print("==========================================") convert(hf_model, ckpt_dir=ckpt_dir, output_dir=args.output_dir) - if os.environ["OMPI_COMM_WORLD_RANK"] == "0": + if os.environ.get("OMPI_COMM_WORLD_RANK", "1") == "0": # cleanup temp dir os.system(f"rm -r {tmp_cache_dir}") From 8c9fc009bda88de267abc8bcc8a2d2ae2e531aa1 Mon Sep 17 00:00:00 2001 From: Quentin Anthony Date: Tue, 31 Oct 2023 20:55:50 -0700 Subject: [PATCH 04/99] Create tools __init__.py for import (#1068) --- configs/neox_arguments.md | 2 +- tools/__init__.py | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) create mode 100644 tools/__init__.py diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 2b23f2207..fe2993ade 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 7c50e77 + Default = 5304f15 current git hash of repository diff --git a/tools/__init__.py b/tools/__init__.py new file mode 100644 index 000000000..8b1378917 --- /dev/null +++ b/tools/__init__.py @@ -0,0 +1 @@ + From a10f69c9554ab8af5cb2e22ce774e9484ac7dccc Mon Sep 17 00:00:00 2001 From: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com> Date: Wed, 1 Nov 2023 17:08:44 -0400 Subject: [PATCH 05/99] Pin version of `lm_eval` (#1070) * Pin lm_eval version * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions --- configs/neox_arguments.md | 2 +- requirements/requirements.txt | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index fe2993ade..1af516669 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 5304f15 + Default = c0fd5d9 current git hash of repository diff --git a/requirements/requirements.txt b/requirements/requirements.txt index 88e49f073..914664c03 100644 --- a/requirements/requirements.txt +++ b/requirements/requirements.txt @@ -3,7 +3,7 @@ git+https://github.com/EleutherAI/DeeperSpeed.git#egg=deepspeed ftfy>=6.0.1 git+https://github.com/EleutherAI/lm_dataformat.git@4eec05349977071bf67fc072290b95e31c8dd836 huggingface_hub>=0.11.0 -lm_eval>=0.3.0 +lm_eval==0.3.0 mpi4py>=3.0.3 numpy>=1.22.0 pybind11>=2.6.2 From 41f019e9a1706ee589a92b044b2a09517d56f71a Mon Sep 17 00:00:00 2001 From: Adam I Date: Wed, 1 Nov 2023 17:09:23 -0400 Subject: [PATCH 06/99] fixed case when ntasks_per_node is used instead (#1069) --- megatron/neox_arguments/arguments.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/megatron/neox_arguments/arguments.py b/megatron/neox_arguments/arguments.py index 4e13afd2d..09e45f10c 100644 --- a/megatron/neox_arguments/arguments.py +++ b/megatron/neox_arguments/arguments.py @@ -732,7 +732,8 @@ def configure_distributed_args(self): if self.deepspeed_slurm: os.environ["LOCAL_RANK"] = os.environ["SLURM_LOCALID"] os.environ["RANK"] = os.environ["SLURM_PROCID"] - os.environ["WORLD_SIZE"] = os.environ["SLURM_NTASKS"] + os.environ["WORLD_SIZE"] = os.environ["SLURM_NTASKS"] if os.environ.get("SLURM_NTASKS") is not None \ + else str(int(os.environ["SLURM_NNODES"]) * int(os.environ["SLURM_NTASKS_PER_NODE"])) self.update_value("local_rank", int(os.getenv("LOCAL_RANK", "0"))) self.update_value("rank", int(os.getenv("RANK", "0"))) From 90aa131ba3463395121ea9b808304ad0febdc0fb Mon Sep 17 00:00:00 2001 From: Stella Biderman Date: Sun, 5 Nov 2023 09:53:01 -0500 Subject: [PATCH 07/99] Update README.md --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 09e623401..6ae414ee7 100644 --- a/README.md +++ b/README.md @@ -544,6 +544,7 @@ The following models were trained using this library: - [CyberAgent](https://www.cyberagent.co.jp/en/)'s [Open-CLM (125M through 7B)](https://huggingface.co/cyberagent/open-calm-7b) (Japanese) - [The Hungarian Research Centre for Linguistics](https://nytud.hu/en)'s [PULI GPTrio (6.7B)](https://huggingface.co/NYTK/PULI-GPTrio) (Hungarian / English / Chinese) - [The University of Tokyo](https://weblab.t.u-tokyo.ac.jp/en/hpc/)'s [weblab-10b](https://huggingface.co/Kojima777/weblab-10b) and [weblab-10b-instruct](https://huggingface.co/Kojima777/weblab-10b-instruction-sft) (Japanese) +- [nolando.ai](https://nolano.ai)'s [Hi-NOLIN (9B)](https://blog.nolano.ai/Hi-NOLIN/) (English, Hindi) **Code Models** - [Carnegie Mellon University](https://www.cmu.edu/)'s [PolyCoder (160M through 2.7B)](https://github.com/VHellendoorn/Code-LMs) From 04dc2ba24a99a0fce71df4c9a42a368d4b788dc3 Mon Sep 17 00:00:00 2001 From: kyuhee Date: Tue, 7 Nov 2023 10:15:09 +0900 Subject: [PATCH 08/99] When processing mlp.dense_4h_to_h.bias and attention.dense.bias, tp_ranks are not reflected, so strange results always appear when tp_ranks is greater than 1. --- tools/ckpts/convert_module_to_hf.py | 4 +++- tools/ckpts/convert_sequential_to_hf.py | 4 +++- 2 files changed, 6 insertions(+), 2 deletions(-) diff --git a/tools/ckpts/convert_module_to_hf.py b/tools/ckpts/convert_module_to_hf.py index f3f43c308..9a5823cb9 100644 --- a/tools/ckpts/convert_module_to_hf.py +++ b/tools/ckpts/convert_module_to_hf.py @@ -225,7 +225,9 @@ def convert(input_checkpoint_path, loaded_config, output_checkpoint_path): "mlp.dense_4h_to_h.bias", "attention.dense.bias", ]: - state_dict[key] = sum([t[key] for t in loaded_tp_ranks]) + state_dict[key] = sum([t[key] for t in loaded_tp_ranks]) / len( + loaded_tp_ranks + ) # Just take one state_dict["attention.rotary_emb.inv_freq"] = loaded_tp_ranks[0][ diff --git a/tools/ckpts/convert_sequential_to_hf.py b/tools/ckpts/convert_sequential_to_hf.py index f0a505ac3..69ad58786 100644 --- a/tools/ckpts/convert_sequential_to_hf.py +++ b/tools/ckpts/convert_sequential_to_hf.py @@ -238,7 +238,9 @@ def convert(input_checkpoint_path, loaded_config, output_checkpoint_path): "mlp.dense_4h_to_h.bias", "attention.dense.bias", ]: - state_dict[key] = sum(get_state(loaded_tp_ranks, key, layer_i + 2)) + state_dict[key] = sum(get_state(loaded_tp_ranks, key, layer_i + 2)) / len( + loaded_tp_ranks + ) # Just take one state_dict["attention.rotary_emb.inv_freq"] = get_state( From d8028f8e9d7a3824bee47895c28ee71ae8879234 Mon Sep 17 00:00:00 2001 From: Matt Date: Wed, 8 Nov 2023 20:55:39 +0000 Subject: [PATCH 09/99] Resolve error in the `test_neoxargs_usage` unit test (#1074) --- tests/neox_args/test_neoxargs_usage.py | 1 + 1 file changed, 1 insertion(+) diff --git a/tests/neox_args/test_neoxargs_usage.py b/tests/neox_args/test_neoxargs_usage.py index a8cbf4707..27243c48d 100644 --- a/tests/neox_args/test_neoxargs_usage.py +++ b/tests/neox_args/test_neoxargs_usage.py @@ -51,6 +51,7 @@ def test_neoxargs_usage(): "build_tokenizer", "attention_config[i]", "print", + "update" ] ) From 10bf78871e214f8d0e3bc8662f968e367587a516 Mon Sep 17 00:00:00 2001 From: Jacob Hatef <74274091+jahatef@users.noreply.github.com> Date: Wed, 15 Nov 2023 22:24:31 -0500 Subject: [PATCH 10/99] Update neox_args.py (#1081) * Update neox_args.py These attention configuration options were missing from the docs. This will fix that. * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions --- configs/neox_arguments.md | 4 ++-- megatron/neox_arguments/neox_args.py | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 1af516669..0f2b3c8fa 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = c0fd5d9 + Default = b18f25c current git hash of repository @@ -334,7 +334,7 @@ Model Arguments The first item in the list specifies the attention type(s), and should be a list of strings. The second item specifies the number of times to repeat those attention types in the full list. - attention type choices: [global, local, sparse_fixed, sparse_variable, bslongformer, bigbird] + attention type choices: [global, local, sparse_fixed, sparse_variable, bslongformer, bigbird, "gmlp", "amlp", "flash"] So a 12 layer network with only global attention could be specified like: [[[`global`], 12]] diff --git a/megatron/neox_arguments/neox_args.py b/megatron/neox_arguments/neox_args.py index 8d0953da2..957960832 100644 --- a/megatron/neox_arguments/neox_args.py +++ b/megatron/neox_arguments/neox_args.py @@ -175,7 +175,7 @@ class NeoXArgsModel(NeoXArgsTemplate): The first item in the list specifies the attention type(s), and should be a list of strings. The second item specifies the number of times to repeat those attention types in the full list. - attention type choices: [global, local, sparse_fixed, sparse_variable, bslongformer, bigbird] + attention type choices: [global, local, sparse_fixed, sparse_variable, bslongformer, bigbird, "gmlp", "amlp", "flash"] So a 12 layer network with only global attention could be specified like: [[[`global`], 12]] From f48d3a6ba11c29b38c713b976ad28d95f8f5d142 Mon Sep 17 00:00:00 2001 From: Stella Biderman Date: Wed, 22 Nov 2023 13:03:18 -0500 Subject: [PATCH 11/99] Update README.md (#1082) * Update README.md * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions --- README.md | 17 +++++++++++------ configs/neox_arguments.md | 2 +- 2 files changed, 12 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index 6ae414ee7..f572e0a71 100644 --- a/README.md +++ b/README.md @@ -507,11 +507,11 @@ GPT-NeoX has been used by academic and industry researchers for a variety of hig ### Our Research EleutherAI and our collaborators have used it in the following publications: - Sid Black, Stella Biderman, Eric Hallahan, Quentin Anthony, Leo Gao, Laurence Golding, Horace He, Connor Leahy, McDonell, Jason Phang, Michael Pieler, Prashanth, Shivanshu Purohit, Laria Reynolds, Jon Tow, Ben Wang, and Samuel Weinbach. "[GPT-NeoX-20B: An Open-Source Autoregressive Language Model](https://arxiv.org/abs/2204.06745)." In *Proceedings of the ACL Workshop on Challenges \& Perspectives in Creating Large Language Models* (2022). - - Stella Biderman, Hailey Schoelkopf, Quentin Gregory Anthony, Herbie Bradley, Kyle O’Brien, Eric Hallahan, Mohammad Aflah Khan et al. "[Pythia: A suite for analyzing large language models across training and scaling](https://arxiv.org/abs/2304.01373)." In _International Conference on Machine Learning_, pp. 2397-2430. PMLR (2023). + - Stella Biderman, Hailey Schoelkopf, Quentin Anthony, Herbie Bradley, Kyle O’Brien, Eric Hallahan, Mohammad Aflah Khan et al. "[Pythia: A suite for analyzing large language models across training and scaling](https://arxiv.org/abs/2304.01373)." In _International Conference on Machine Learning_, pp. 2397-2430. PMLR (2023). - Zhangir Azerbayev, Bartosz Piotrowski, Hailey Schoelkopf, Edward W. Ayers, Dragomir Radev, and Jeremy Avigad. "[Proofnet: Autoformalizing and formally proving undergraduate-level mathematics](https://arxiv.org/abs/2302.12433). *arXiv preprint arXiv:2302.12433* (2023). - Stella Biderman, USVSN Sai Prashanth, Lintang Sutawika, Hailey Schoelkopf, Quentin Anthony, Shivanshu Purohit, and Edward Raff. "[Emergent and predictable memorization in large language models.](https://arxiv.org/abs/2304.11158)" *arXiv preprint arXiv:2304.11158* (2023). - Hyunwoong Ko, Kichang Yang, Minho Ryu, Taekyoon Choi, Seungmu Yang, and Sungho Park. "[A Technical Report for Polyglot-Ko: Open-Source Large-Scale Korean Language Models](https://arxiv.org/abs/2306.02254)." *arXiv preprint arXiv:2306.02254* (2023). - - Kshitij Gupta, Benjamin Thérien, Adam Ibrahim, Mats Leon Richter, Quentin Gregory Anthony, Eugene Belilovsky, Irina Rish, and Timothée Lesort. "[Continual Pre-Training of Large Language Models: How to re-warm your model?](https://arxiv.org/abs/2308.04014)" In _Workshop on Efficient Systems for Foundation Models @ ICML_ (2023). + - Kshitij Gupta, Benjamin Thérien, Adam Ibrahim, Mats Leon Richter, Quentin Anthony, Eugene Belilovsky, Irina Rish, and Timothée Lesort. "[Continual Pre-Training of Large Language Models: How to re-warm your model?](https://arxiv.org/abs/2308.04014)" In _Workshop on Efficient Systems for Foundation Models @ ICML_ (2023). ### External Publications The following publications by other research groups use this library: @@ -521,9 +521,12 @@ The following publications by other research groups use this library: - Frank F. Xu, Uri Alon, Graham Neubig, and Vincent J. Hellendoorn. "[A Systematic Evaluation of Large Language Models of Code](https://arxiv.org/abs/2202.13169)." In *Proceedings of the ICLR Workshop on Deep Learning For Code* (2022). - Eghbal A. Hosseini, Martin A. Schrimpf, Yian Zhang, Samuel Bowman, Noga Zaslavsky, and Evelina Fedorenko. "[Artificial neural network language models align neurally and behaviorally with humans even after a developmentally realistic amount of training.](https://www.biorxiv.org/content/10.1101/2022.10.04.510681)" _BioRxiv_ (2022). - Byung-Doh Oh and William Schuler. "[Transformer-Based LM Surprisal Predicts Human Reading Times Best with About Two Billion Training Tokens](https://arxiv.org/abs/2304.11389)." *arXiv preprint arXiv:2304.11389* (2023). -- Chi, Ta-Chung, Ting-Han Fan, Alexander Rudnicky, and Peter Ramadge. "[Dissecting Transformer Length Extrapolation via the Lens of Receptive Field Analysis](https://aclanthology.org/2023.acl-long.756/)." In _Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)_, pp. 13522-13537 (2023). +- Ta-Chung Chi, Ting-Han Fan, Alexander Rudnicky, and Peter Ramadge. "[Dissecting Transformer Length Extrapolation via the Lens of Receptive Field Analysis](https://aclanthology.org/2023.acl-long.756/)." In _Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)_, pp. 13522-13537 (2023). - Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, and Jun Wang. "[ChessGPT: Bridging Policy Learning and Language Modeling.](https://arxiv.org/abs/2306.09200)" _arXiv preprint arXiv:2306.09200_ (2023). -- Dollar, Orion Walker, Sameera Horawalavithana, Scott Vasquez, W. James Pfaendtner, and Svitlana Volkova. "[MolJET: Multimodal Joint Embedding Transformer for Conditional de novo Molecular Design and Multi-Property Optimization.](https://openreview.net/pdf?id=7UudBVsIrr)" _preprint_ (2022). +- Orion Walker Dollar, Sameera Horawalavithana, Scott Vasquez, W. James Pfaendtner, and Svitlana Volkova. "[MolJET: Multimodal Joint Embedding Transformer for Conditional de novo Molecular Design and Multi-Property Optimization.](https://openreview.net/pdf?id=7UudBVsIrr)" _preprint_ (2023). +- Jean Kaddour and Qi Liu. "[Text Data Augmentation in Low-Resource Settings via Fine-Tuning of Large Language Models](https://arxiv.org/abs/2310.01119)." _arXiv:2310.01119_ (2023). +- Alon Albalak, Liangming Pan, Colin Raffel, and William Yang Wang. "[Efficient Online Data Mixing For Language Model Pre-Training](https://alon-albalak.github.io/images/Online_Data_Mixing.pdf)." _preprint_ (2023). +- Eghbal A. Hosseini and Evelina Fedorenko. "[Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language](https://www.biorxiv.org/content/10.1101/2023.11.05.564832v1)." _bioRxiv_ (2023). ### Models The following models were trained using this library: @@ -540,6 +543,7 @@ The following models were trained using this library: - [EleutherAI](https://eleuther.ai/)'s [Polyglot-Ko (1.3B through 12.8B)](https://github.com/EleutherAI/polyglot) (Korean) - [Korea University](http://nlp.korea.ac.kr/)'s [KULLM-Polyglot (5.8B and 12.8B)](https://github.com/nlpai-lab/KULLM) (Korean) - [LearnItAnyway](https://huggingface.co/LearnItAnyway)'s [LLaVA-Polyglot-Ko (1.3B)](https://huggingface.co/LearnItAnyway/llava-polyglot-ko-1.3b-hf) (Korean) +- [Rinna Co.](https://rinna.co.jp/)'s [japanese-gpt-neox-3.6b](https://huggingface.co/rinna/japanese-gpt-neox-3.6b) (Japanese) - [Rinna Co.](https://rinna.co.jp/)'s [bilingual-gpt-neox-4b](https://huggingface.co/rinna/bilingual-gpt-neox-4b) (English / Japanese) - [CyberAgent](https://www.cyberagent.co.jp/en/)'s [Open-CLM (125M through 7B)](https://huggingface.co/cyberagent/open-calm-7b) (Japanese) - [The Hungarian Research Centre for Linguistics](https://nytud.hu/en)'s [PULI GPTrio (6.7B)](https://huggingface.co/NYTK/PULI-GPTrio) (Hungarian / English / Chinese) @@ -548,13 +552,14 @@ The following models were trained using this library: **Code Models** - [Carnegie Mellon University](https://www.cmu.edu/)'s [PolyCoder (160M through 2.7B)](https://github.com/VHellendoorn/Code-LMs) -- [StabilityAI](https://stability.ai/)'s Code [StableCode (1.3B)](https://stability.ai/blog/stablecode-llm-generative-ai-coding) +- [StabilityAI](https://stability.ai/)'s [StableCode (1.3B)](https://stability.ai/blog/stablecode-llm-generative-ai-coding) +- StabilityAI's [StableCode-Completion-Alpha (3B)](https://stability.ai/blog/stablecode-llm-generative-ai-coding) + StableCode-Completion-Alpha-3B-4k **Other Modalities** - [University College London](https://www.ucl.ac.uk/computer-science/)'s [ChessGPT-3B](https://huggingface.co/Waterhorse/chessgpt-base-v1) - [Gretel](https://gretel.ai/)'s [Text-to-Table](https://huggingface.co/gretelai/text2table) - ## Licensing This repository hosts code that is part of EleutherAI's GPT-NeoX project. Copyright (c) 2021, EleutherAI. Licensed under the Apache License: diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 0f2b3c8fa..bc2e8fc57 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = b18f25c + Default = 2da1083 current git hash of repository From efea81f5df397f733a98be13cb7bd1d66e94be27 Mon Sep 17 00:00:00 2001 From: Stella Biderman Date: Thu, 30 Nov 2023 10:06:38 -0500 Subject: [PATCH 12/99] Update README.md --- README.md | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index f572e0a71..29ec70721 100644 --- a/README.md +++ b/README.md @@ -82,9 +82,8 @@ python ./megatron/fused_kernels/setup.py install # optional, if using fused kern from the repository root. - From 3be59a42e0b485747b0319991f182f21bca5b82b Mon Sep 17 00:00:00 2001 From: Matt Date: Mon, 4 Dec 2023 15:56:12 +0700 Subject: [PATCH 13/99] Extend ci suite (#1080) * Use `.yml` extensions in README to reflect extensions used in `configs/` folder * Rename `save_interval` -> `checkpoint_factor` * Mark expected failures in existing tests * Fix minor typos * Allow creation of checkpoint at iteration 0 when `do_train=False` Helpful for unit tests because it allows use of a randomly initialised model * Delete duplicated `test_fused_kernels.py` Primary version lives in `tests/model/test_fused_kernels.py` * Avoid initializing CUDA whenever `megatron` is imported Resolves `Cannot re-initialize CUDA in forked subprocess` error when running distributed unit tests * Extend suite of unit tests --- README.md | 22 +- configs/README.md | 4 +- deepy.py | 4 +- evaluate.py | 4 +- generate.py | 6 +- megatron/__init__.py | 1 - megatron/checkpointing.py | 7 +- megatron/fused_kernels/__init__.py | 1 - .../fused_kernels/tests/test_fused_kernels.py | 296 - megatron/neox_arguments/arguments.py | 9 +- megatron/neox_arguments/neox_args.py | 6 +- megatron/tokenizer/train_tokenizer.py | 27 +- megatron/training.py | 26 +- megatron/utils.py | 3 +- tests/README.md | 2 +- tests/common.py | 44 +- tests/config/test_setup.yml | 81 + tests/data/enwik8_first100.txt | 100 + tests/data/hf_cache/tokenizer/gpt2.json | 100305 +++++++++++++++ tests/data/sample_prompt.txt | 1 + tests/model/test_fused_kernels.py | 5 +- tests/model/test_model_instantiation.py | 7 +- tests/model/test_model_train.py | 218 +- tests/pytest.ini | 3 + tests/test_configs/test_train_base.yml | 2 +- tests/unit/__init__.py | 0 tests/unit/test_arguments.py | 41 + tests/unit/test_dependencies.py | 7 + tests/unit/test_format_conversion_scripts.py | 19 + tests/unit/test_launcher_scripts.py | 111 + tests/unit/test_tokenizer.py | 9 + tests/unit/test_url_accessibility.py | 24 + tools/ckpts/README.md | 2 +- tools/ckpts/convert_sequential_to_hf.py | 20 +- tools/datasets/preprocess_data.py | 12 +- train.py | 7 +- 36 files changed, 100890 insertions(+), 546 deletions(-) delete mode 100644 megatron/fused_kernels/tests/test_fused_kernels.py create mode 100644 tests/config/test_setup.yml create mode 100644 tests/data/enwik8_first100.txt create mode 100644 tests/data/hf_cache/tokenizer/gpt2.json create mode 100644 tests/data/sample_prompt.txt create mode 100644 tests/unit/__init__.py create mode 100644 tests/unit/test_arguments.py create mode 100644 tests/unit/test_dependencies.py create mode 100644 tests/unit/test_format_conversion_scripts.py create mode 100644 tests/unit/test_launcher_scripts.py create mode 100644 tests/unit/test_tokenizer.py create mode 100644 tests/unit/test_url_accessibility.py diff --git a/README.md b/README.md index 29ec70721..528447835 100644 --- a/README.md +++ b/README.md @@ -228,19 +228,19 @@ We currently offer three main functions: which can be launched with: ```bash -./deepy.py [script.py] [./path/to/config_1.yaml] [./path/to/config_2.yaml] ... [./path/to/config_n.yaml] +./deepy.py [script.py] [./path/to/config_1.yml] [./path/to/config_2.yml] ... [./path/to/config_n.yml] ``` For example, to launch training you can run ```bash -./deepy.py train.py ./configs/20B.yaml ./configs/local_cluster.yaml +./deepy.py train.py ./configs/20B.yml ./configs/local_cluster.yml ``` For more details on each entry point, see the [Training and Finetuning](#training-and-finetuning), [Inference](#inference) and [Evaluation](#evaluation) respectively. # Configuration -GPT-NeoX parameters are defined in a YAML configuration file which is passed to the deepy.py launcher. We have provided some example .yaml files in [configs](./configs/), showing a diverse array of features and model sizes. +GPT-NeoX parameters are defined in a YAML configuration file which is passed to the deepy.py launcher. We have provided some example .yml files in [configs](./configs/), showing a diverse array of features and model sizes. These files are generally complete, but non-optimal. For example, depending on your specific GPU configuration, you may need to change some settings such as `pipe-parallel-size`, `model-parallel-size` to increase or decrease the degree of parallelisation, `train_micro_batch_size_per_gpu` or `gradient-accumulation-steps` to modify batch size related settings, or the `zero_optimization` dict to modify how optimizer states are parallelised across workers. @@ -349,7 +349,7 @@ Training is launched using `deepy.py`, a wrapper around DeepSpeed's launcher, wh The general usage pattern is: ```bash -python ./deepy.py train.py [path/to/config1.yaml] [path/to/config2.yaml] ... +python ./deepy.py train.py [path/to/config1.yml] [path/to/config2.yml] ... ``` You can pass in an arbitrary number of configs which will all be merged at runtime. @@ -359,19 +359,19 @@ You can also optionally pass in a config prefix, which will assume all your conf E.G: ```bash -python ./deepy.py train.py -d configs 125M.yaml local_setup.yaml +python ./deepy.py train.py -d configs 125M.yml local_setup.yml ``` This will deploy the `train.py` script on all nodes with one process per GPU. The worker nodes and number of GPUs are specified in the `/job/hostfile` file (see [parameter documentation](configs/README.md)), or can simply be passed in as the `num_gpus` arg if running on a single node setup. -Although this is not strictly necessary, we find it useful to define the model parameters in one config file (e.g `configs/125M.yaml`) and the data path parameters in another (e.g `configs/local_setup.yaml`). +Although this is not strictly necessary, we find it useful to define the model parameters in one config file (e.g `configs/125M.yml`) and the data path parameters in another (e.g `configs/local_setup.yml`). ## Pretrained Models ### GPT-NeoX-20B -GPT-NeoX-20B is a 20 billion parameter autoregressive language model trained on [the Pile](https://arxiv.org/abs/2101.00027). Technical details about GPT-NeoX-20B can be found in [the associated paper](https://arxiv.org/abs/2204.06745). The configuration file for this model is both available at [`./configs/20B.yaml`](./configs/20B.yaml) and included in the download links below. +GPT-NeoX-20B is a 20 billion parameter autoregressive language model trained on [the Pile](https://arxiv.org/abs/2101.00027). Technical details about GPT-NeoX-20B can be found in [the associated paper](https://arxiv.org/abs/2204.06745). The configuration file for this model is both available at [`./configs/20B.yml`](./configs/20B.yml) and included in the download links below. [Slim weights](https://the-eye.eu/public/AI/models/GPT-NeoX-20B/slim_weights/) - (No optimizer states, for inference or finetuning, 39GB) @@ -410,7 +410,7 @@ We support three types of generation from a pretrained model: 2. Conditional generation based on an input read from a file 3. Interactive generation, which allows for multiple rounds of back-and-forth between a user and the language model via a command line interface -All three types of text generation can be launched via `python ./deepy.py generate.py -d configs 125M.yaml local_setup.yaml text_generation.yaml` with the appropriate values set in `configs/text_generation.yaml`. +All three types of text generation can be launched via `python ./deepy.py generate.py -d configs 125M.yml local_setup.yml text_generation.yml` with the appropriate values set in `configs/text_generation.yml`. # Evaluation @@ -419,7 +419,7 @@ GPT-NeoX supports evaluation on downstream tasks through the [language model eva To evaluate a trained model on the evaluation harness, simply run: ```bash -python ./deepy.py evaluate.py -d configs your_configs.yaml --eval_tasks task1 task2 ... taskn +python ./deepy.py evaluate.py -d configs your_configs.yml --eval_tasks task1 task2 ... taskn ``` where `--eval_tasks` is a list of evaluation tasks followed by spaces, e.g `--eval_tasks lambada hellaswag piqa sciq`. For details of all tasks available, refer to the [lm-evaluation-harness repo](https://github.com/EleutherAI/lm-evaluation-harness). @@ -430,12 +430,12 @@ GPT-NeoX is optimized heavily for training only, and GPT-NeoX model checkpoints To convert a NeoX checkpoint (with pipeline-parallel-size>=1) to Hugging Face-loadable format, run: ```bash -python ./tools/ckpts/convert_module_to_hf.py --input_dir /path/to/model/global_stepXXX --config_file your_config.yaml --output_dir hf_model/save/location +python ./tools/ckpts/convert_module_to_hf.py --input_dir /path/to/model/global_stepXXX --config_file your_config.yml --output_dir hf_model/save/location ``` To convert a sequential model to Hugging Face format, run: ```bash -python ./tools/ckpts/convert_sequential_to_hf.py --input_dir /path/to/model/global_stepXXX --config_file your_config.yaml --output_dir hf_model/save/location +python ./tools/ckpts/convert_sequential_to_hf.py --input_dir /path/to/model/global_stepXXX --config_file your_config.yml --output_dir hf_model/save/location ``` (Note: this script should be used for v2.0 checkpoints saved on a v2.0 commit prior to https://github.com/EleutherAI/gpt-neox/pull/866 and which used `pipe-parallel-size=1`. Using `pipe-parallel-size=0` will also save models in this format.) diff --git a/configs/README.md b/configs/README.md index 5b065d2cd..d8ae81739 100644 --- a/configs/README.md +++ b/configs/README.md @@ -85,7 +85,7 @@ Note: yaml arguments may be formatted with either '-' or '_'. The standard separ # misc. training settings "distributed_backend": "nccl", - "save_interval": 10000, + "checkpoint_factor": 10000, "eval_interval": 1000, "eval_iters": 10, @@ -230,7 +230,7 @@ Additional DeepSpeed settings besides those mentioned above should be wrapped in "load": "checkpoints", "tensorboard_dir": "tensorboard", "log_dir": "logs", - "save_interval": 10000, + "checkpoint_factor": 10000, "eval_interval": 1000, "eval_iters": 10, ``` diff --git a/deepy.py b/deepy.py index c158c76c5..eacbd9dec 100755 --- a/deepy.py +++ b/deepy.py @@ -19,13 +19,13 @@ import deepspeed.launcher.runner -def main(): +def main(input_args=None): logging.basicConfig(level=os.environ.get("LOGLEVEL", "INFO")) from megatron.neox_arguments import NeoXArgs from megatron.utils import get_wandb_api_key - neox_args = NeoXArgs.consume_deepy_args() + neox_args = NeoXArgs.consume_deepy_args(input_args) deepspeed_main_args = neox_args.get_deepspeed_main_args() # Extract wandb API key and inject into worker environments diff --git a/evaluate.py b/evaluate.py index bb7456723..89d8963b0 100644 --- a/evaluate.py +++ b/evaluate.py @@ -31,8 +31,8 @@ import json -def main(): - model, neox_args = setup_for_inference_or_eval(use_cache=False) +def main(input_args=None, overwrite_values=None): + model, neox_args = setup_for_inference_or_eval(use_cache=False, input_args=input_args, overwrite_values=overwrite_values) results = run_eval_harness( model, forward_step, diff --git a/generate.py b/generate.py index c369c1271..c56dca72b 100755 --- a/generate.py +++ b/generate.py @@ -26,11 +26,11 @@ ) -def main(): +def main(input_args=None, overwrite_values=None): """ Generate text/sample model """ - model, neox_args = setup_for_inference_or_eval(use_cache=True) + model, neox_args = setup_for_inference_or_eval(use_cache=True,input_args=input_args, overwrite_values=overwrite_values) if neox_args.recompute: model.module.inference_mode( use_cache=False @@ -83,7 +83,7 @@ def main(): else: raise ValueError( - f"`text-gen-type` either not specified or not recognised: {neox_args.text_gen_type}" + f"`text_gen_type` either not specified or not recognised: {neox_args.text_gen_type}" ) diff --git a/megatron/__init__.py b/megatron/__init__.py index 4a9f98a31..8cd7804c9 100644 --- a/megatron/__init__.py +++ b/megatron/__init__.py @@ -23,5 +23,4 @@ def print_rank_0(*message): print(*message, flush=True) -from .initialize import initialize_megatron from .neox_arguments import NeoXArgs diff --git a/megatron/checkpointing.py b/megatron/checkpointing.py index 8bcc01f3b..7b8ef1e84 100644 --- a/megatron/checkpointing.py +++ b/megatron/checkpointing.py @@ -392,9 +392,10 @@ def load_checkpoint( if neox_args.finetune: iteration = 0 else: - iteration = state_dict.get("iteration") or state_dict.get( - "total_iters" - ) # total_iters backward compatible with older checkpoints + if "iteration" in state_dict: + iteration = state_dict["iteration"] + else: + iteration = state_dict.get("total_iters") # total_iters backward compatible with older checkpoints if iteration is None: raise ValueError( f"Unable to load iteration from checkpoint {checkpoint_name} with keys {state_dict.keys()}, exiting" diff --git a/megatron/fused_kernels/__init__.py b/megatron/fused_kernels/__init__.py index 80caa2d97..9bf4d1b1a 100644 --- a/megatron/fused_kernels/__init__.py +++ b/megatron/fused_kernels/__init__.py @@ -16,7 +16,6 @@ import pathlib import subprocess -from torch.utils import cpp_extension from pathlib import Path srcpath = Path(__file__).parent.absolute() diff --git a/megatron/fused_kernels/tests/test_fused_kernels.py b/megatron/fused_kernels/tests/test_fused_kernels.py deleted file mode 100644 index b85618da8..000000000 --- a/megatron/fused_kernels/tests/test_fused_kernels.py +++ /dev/null @@ -1,296 +0,0 @@ -import math - -import torch -from torch.nn import LayerNorm - -from megatron.model.fused_softmax import FusedScaleMaskSoftmax -from megatron.model.gpt2_model import gpt2_attention_mask_func - - -def test_load_fused_kernels(): - try: - import scaled_masked_softmax_cuda - import scaled_upper_triang_masked_softmax_cuda - import torch - - print("[Success] load_fused_kernels") - except ImportError as e: - print("[Fail] load_fused_kernels") - raise e - - -def test_fused_softmax(): - bert = BertModel.from_pretrained("bert-base-cased").cuda().half() - tokenizer = BertTokenizer.from_pretrained("bert-base-cased") - test_text = ( - "Hello. How are you? I am fine thank you and you? yes Good. " - "hi hi hi hi hi hi hi hi hi hi hi hi hi" # 32 - ) - - tokens = tokenizer( - [test_text] * 4, - return_tensors="pt", - ) - - embedding_output = bert.embeddings( - input_ids=tokens["input_ids"].cuda(), - position_ids=None, - token_type_ids=tokens["token_type_ids"].cuda(), - inputs_embeds=None, - past_key_values_length=0, - ) - - # (bsz, 1, 1, seq_len) - mask = bert.get_extended_attention_mask( - attention_mask=tokens["attention_mask"].cuda(), - input_shape=tokens["input_ids"].shape, - device=bert.device, - ) - # (bsz, 1, seq_len, seq_len) - mask = mask.repeat(1, 1, mask.size()[-1], 1) - - attention = bert.encoder.layer[0].attention.self - key_layer = attention.transpose_for_scores(attention.key(embedding_output)) - query_layer = attention.transpose_for_scores(attention.query(embedding_output)) - - attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2)) - attention_scores /= math.sqrt(key_layer.size()[-1]) - - fused_softmax = ( - FusedScaleMaskSoftmax( - input_in_fp16=True, - input_in_bf16=False, - mask_func=attention_mask_func, - scale=None, - softmax_in_fp32=False, - attn_mask_type=AttnMaskType.padding, - scaled_masked_softmax_fusion=True, - ) - .cuda() - .half() - ) - - fused_softmax_output = fused_softmax( - attention_scores, - (mask != 0), - ) - - torch_softmax = ( - FusedScaleMaskSoftmax( - input_in_fp16=True, - input_in_bf16=False, - mask_func=attention_mask_func, - scale=None, - softmax_in_fp32=False, - attn_mask_type=AttnMaskType.padding, - scaled_masked_softmax_fusion=False, - ) - .cuda() - .half() - ) - - torch_softmax_output = torch_softmax( - attention_scores, - (mask != 0), - ) - - test_result = (fused_softmax_output - torch_softmax_output).abs() - - while test_result.dim() != 1: - test_result = test_result.mean(dim=-1) - - diff = test_result.mean(dim=-1) - - if diff <= 1e-3: - print( - f"\n[Success] test_fused_softmax" - f"\n > mean_difference={diff}" - f"\n > fused_values={fused_softmax_output[-1][-1][-1][:5].tolist()}" - f"\n > torch_values={torch_softmax_output[-1][-1][-1][:5].tolist()}" - ) - else: - print( - f"\n[Fail] test_fused_softmax" - f"\n > mean_difference={diff}, " - f"\n > fused_values={fused_softmax_output[-1][-1][-1][:5].tolist()}, " - f"\n > torch_values={torch_softmax_output[-1][-1][-1][:5].tolist()}" - ) - - -def test_fused_upper_triangle_mask_softmax(): - gpt = GPT2Model.from_pretrained("gpt2").cuda().half() - tokenizer = GPT2Tokenizer.from_pretrained("gpt2") - test_text = ( - "Hello. How are you? I am fine thank you and you? yes Good. " - "hi hi hi hi hi hi hi" # 24 - ) - - tokens = tokenizer( - [test_text] * 4, - return_tensors="pt", - ) - - attention_mask = tokens["attention_mask"].cuda() - attention_mask = attention_mask.view(attention_mask.size(0), -1) - attention_mask = attention_mask[:, None, None, :] - attention_mask = (1.0 - attention_mask) * -10000.0 - attention_mask = attention_mask.repeat(1, 1, attention_mask.size()[-1], 1) - attn = gpt.h[0] - - hidden_states = gpt.wte(tokens["input_ids"].cuda()) - q, k, v = attn.attn.c_attn(hidden_states).split(768, dim=-1) - q = attn.attn._split_heads(q, attn.attn.num_heads, attn.attn.head_dim) - k = attn.attn._split_heads(k, attn.attn.num_heads, attn.attn.head_dim) - attn_weights = torch.matmul(q, k.transpose(-1, -2)) - - sq, sk = q.size(-2), k.size(-2) - causal_mask = attn.attn.bias[:, :, sk - sq : sk, :sk].bool() - total_mask = ~(causal_mask & (attention_mask == 0)) - """ - tensor([[[[False, True, True, ..., True, True, True], - [False, False, True, ..., True, True, True], - [False, False, False, ..., True, True, True], - ..., - [False, False, False, ..., False, True, True], - [False, False, False, ..., False, False, True], - [False, False, False, ..., False, False, False]]] - """ - - fused_softmax = ( - FusedScaleMaskSoftmax( - input_in_fp16=True, - input_in_bf16=False, - mask_func=attention_mask_func, - scale=None, - softmax_in_fp32=False, - attn_mask_type=AttnMaskType.causal, - scaled_masked_softmax_fusion=True, - ) - .cuda() - .half() - ) - - fused_softmax_output = fused_softmax( - attn_weights, - total_mask, - ) - - torch_softmax = ( - FusedScaleMaskSoftmax( - input_in_fp16=True, - input_in_bf16=False, - mask_func=attention_mask_func, - scale=None, - softmax_in_fp32=False, - attn_mask_type=AttnMaskType.causal, - scaled_masked_softmax_fusion=False, - ) - .cuda() - .half() - ) - - torch_softmax_output = torch_softmax( - attn_weights, - total_mask, - ) - - test_result = (fused_softmax_output - torch_softmax_output).abs() - - while test_result.dim() != 1: - test_result = test_result.mean(dim=-1) - - diff = test_result.mean(dim=-1) - - if diff <= 1e-3: - print( - f"\n[Success] test_fused_upper_triangle_mask_softmax" - f"\n > mean_difference={diff}" - f"\n > fused_values={fused_softmax_output[-1][-1][-1][:5].tolist()}" - f"\n > torch_values={torch_softmax_output[-1][-1][-1][:5].tolist()}" - ) - else: - print( - f"\n[Fail] test_fused_upper_triangle_mask_softmax" - f"\n > mean_difference={diff}, " - f"\n > fused_values={fused_softmax_output[-1][-1][-1][:5].tolist()}, " - f"\n > torch_values={torch_softmax_output[-1][-1][-1][:5].tolist()}" - ) - - -def test_layer_norm(): - bert = BertModel.from_pretrained("bert-base-cased").cuda().half() - tokenizer = BertTokenizer.from_pretrained("bert-base-cased") - test_text = ( - "Hello. How are you? I am fine thank you and you? yes Good. " - "hi hi hi hi hi hi hi hi hi hi hi hi hi" # 32 - ) - - tokens = tokenizer( - [test_text] * 4, - return_tensors="pt", - ) - - # [bsz, seq_len, d_model] - embedding_output = ( - bert.embeddings( - input_ids=tokens["input_ids"].cuda(), - position_ids=None, - token_type_ids=tokens["token_type_ids"].cuda(), - inputs_embeds=None, - past_key_values_length=0, - ) - .cuda() - .half() - ) - - fused_layernorm_layer = ( - MixedFusedLayerNorm(normalized_shape=embedding_output.size(-1)).cuda().half() - ) - - torch_layernorm_layer = ( - LayerNorm(normalized_shape=embedding_output.size(-1)).cuda().half() - ) - - fused_output = fused_layernorm_layer(embedding_output) - torch_output = torch_layernorm_layer(embedding_output) - test_result = (fused_output - torch_output).abs() - - while test_result.dim() != 1: - test_result = test_result.mean(dim=-1) - - diff = test_result.mean(dim=-1) - - if diff <= 1e-3: - print( - f"\n[Success] test_layer_norm" - f"\n > mean_difference={diff}" - f"\n > fused_values={fused_output[-1][-1][:5].tolist()}" - f"\n > torch_values={torch_output[-1][-1][:5].tolist()}" - ) - else: - print( - f"\n[Fail] test_layer_norm" - f"\n > mean_difference={diff}, " - f"\n > fused_values={fused_output[-1][-1][:5].tolist()}, " - f"\n > torch_values={torch_output[-1][-1][:5].tolist()}" - ) - - -if __name__ == "__main__": - try: - from transformers import BertTokenizer, GPT2Tokenizer - from transformers.models.bert.modeling_bert import BertModel - from transformers.models.gpt2.modeling_gpt2 import GPT2Model - import transformers - - transformers.logging.set_verbosity( - transformers.logging.FATAL, - ) - - except: - print("\n[Fail] Please install `transformers` package to test fused kernels\n") - exit(-1) - - test_load_fused_kernels() - test_fused_softmax() - test_fused_upper_triangle_mask_softmax() diff --git a/megatron/neox_arguments/arguments.py b/megatron/neox_arguments/arguments.py index 09e45f10c..5ecba71f3 100644 --- a/megatron/neox_arguments/arguments.py +++ b/megatron/neox_arguments/arguments.py @@ -237,7 +237,7 @@ def from_dict(cls, args_dict: Dict): # start of command line args interface @classmethod - def consume_deepy_args(cls): + def consume_deepy_args(cls, input_args=None): """ entry point for deepy.py configuring and consuming command line arguments. @@ -339,8 +339,7 @@ def consume_deepy_args(cls): choices=("tune", "run"), help="Use DeepSpeed's autotuning feature to optimize certain hyperparameters. For more details refer to documentation here: https://www.deepspeed.ai/tutorials/autotuning/", ) - - args_parsed = parser.parse_args() + args_parsed = parser.parse_args(input_args) # Validate user_script exists assert os.path.exists( @@ -394,7 +393,7 @@ def consume_deepy_args(cls): return neox_args @classmethod - def consume_neox_args(cls, overwrite_values=None): + def consume_neox_args(cls, overwrite_values=None, input_args=None): """ Deepspeed launcher needs to pass the arguments for `pretrain_gpt2.py` across to all machines. @@ -419,7 +418,7 @@ def consume_neox_args(cls, overwrite_values=None): default=None, help="Only need this (at this stage) for autotuning", ) - args_parsed, _ = parser.parse_known_args() + args_parsed, _ = parser.parse_known_args(input_args) megatron_config = json.loads( base64.urlsafe_b64decode(args_parsed.megatron_config).decode("utf-8") ) diff --git a/megatron/neox_arguments/neox_args.py b/megatron/neox_arguments/neox_args.py index 957960832..324a379d4 100644 --- a/megatron/neox_arguments/neox_args.py +++ b/megatron/neox_arguments/neox_args.py @@ -641,17 +641,17 @@ class NeoXArgsOther(NeoXArgsTemplate): Set during training """ - do_train: int = None + do_train: bool = None """ Set during training """ - do_valid: int = None + do_valid: bool = None """ Set during training """ - do_test: int = None + do_test: bool = None """ Set during training """ diff --git a/megatron/tokenizer/train_tokenizer.py b/megatron/tokenizer/train_tokenizer.py index 55d3d9eea..d099e9eab 100644 --- a/megatron/tokenizer/train_tokenizer.py +++ b/megatron/tokenizer/train_tokenizer.py @@ -78,11 +78,12 @@ def train_tokenizer( tokenizer.train_from_iterator(json_iterator(input_dir), trainer) # And Save it - tokenizer.save(save_path, pretty=True) - print(f"Tokenizer saved at {save_path}") + if save_path: + tokenizer.save(save_path, pretty=True) + print(f"Tokenizer saved at {save_path}") -def parse_args(): +def parse_args(input_args=None): parser = argparse.ArgumentParser( description="script for training a multilingual " "HF tokenizer on CC dumps with upweighting for low resource languages" @@ -111,16 +112,18 @@ def parse_args(): type=int, default=52000, ) - return parser.parse_args() + args_parsed = parser.parse_args(input_args) + return args_parsed -if __name__ == "__main__": +def main(args): + train_tokenizer( + args.json_input_dir, + save_path=args.tokenizer_output_path, + tokenizer_type=args.tokenizer_type, + vocab_size=args.vocab_size, + ) +if __name__ == "__main__": args = parse_args() - - train_tokenizer( - args.json_input_dir, - save_path=args.tokenizer_output_path, - tokenizer_type=args.tokenizer_type, - vocab_size=args.vocab_size, - ) + main(args) diff --git a/megatron/training.py b/megatron/training.py index ed9c0bcd0..20c168ed3 100644 --- a/megatron/training.py +++ b/megatron/training.py @@ -212,17 +212,17 @@ def pretrain(neox_args): print_rank_0("training ...") iteration = neox_args.iteration - if neox_args.do_train and neox_args.train_iters > 0: - # edge case: save step 0 checkpoint if requested and we're starting from step 0 - if neox_args.save and 0 in neox_args.save_iters and iteration == 0: - save_checkpoint( - neox_args=neox_args, - iteration=iteration, - model=model, - optimizer=optimizer, - lr_scheduler=lr_scheduler, - ) + # edge case: save step 0 checkpoint if requested and we're starting from step 0 + if neox_args.save and 0 in neox_args.save_iters and iteration == 0: + save_checkpoint( + neox_args=neox_args, + iteration=iteration, + model=model, + optimizer=optimizer, + lr_scheduler=lr_scheduler, + ) + if neox_args.do_train and neox_args.train_iters > 0: iteration = train( neox_args=neox_args, timers=timers, @@ -768,6 +768,7 @@ def train_step(neox_args, timers, data_iterator, model, optimizer, lr_scheduler) else: skipped_iter = 0 + collect_loss_for_unit_test(reduced_loss["lm_loss"]) return reduced_loss, skipped_iter @@ -977,6 +978,11 @@ def evaluate( return eval_results +def collect_loss_for_unit_test(lm_ss): + # Logic moved to separate function to allow tracking in unit tests with unittest.mock.patch + pass + + def evaluate_and_print_results( neox_args, prefix, diff --git a/megatron/utils.py b/megatron/utils.py index 6a4545079..c15d6352c 100644 --- a/megatron/utils.py +++ b/megatron/utils.py @@ -408,6 +408,7 @@ def get_total_params(model): def setup_for_inference_or_eval( use_cache=True, overwrite_values=None, + input_args=None ): """ Initializes the model for evaluation or inference (doesn't load optimizer states, etc.) from command line args. @@ -431,7 +432,7 @@ def setup_for_inference_or_eval( } if overwrite_values: _overwrite_values.update(overwrite_values) - neox_args = NeoXArgs.consume_neox_args(overwrite_values=_overwrite_values) + neox_args = NeoXArgs.consume_neox_args(overwrite_values=_overwrite_values,input_args=input_args) neox_args.configure_distributed_args() neox_args.build_tokenizer() diff --git a/tests/README.md b/tests/README.md index 566a5a9ab..316096cc5 100644 --- a/tests/README.md +++ b/tests/README.md @@ -48,4 +48,4 @@ if You see this kind of error: ``` RuntimeError: Cannot re-initialize CUDA in forked subprocess. To use CUDA with multiprocessing, you must use the 'spawn' start method ``` -It means that you used some pytorch.cuda function before the test creates the processes. +It usually means that you used some pytorch.cuda function before the test creates the processes. However just importing `from torch.utils import cpp_extension` can also trigger this. diff --git a/tests/common.py b/tests/common.py index 87fe6f4b6..fdb644df4 100644 --- a/tests/common.py +++ b/tests/common.py @@ -20,6 +20,7 @@ import pytest import random +import train import torch import torch.distributed as dist @@ -105,12 +106,6 @@ def get_config_directory(): def get_configs_with_path(configs): return [str(get_config_directory() / cfg) for cfg in configs] - -def get_test_configs_with_path(configs: list): - test_config_dir = Path(__file__).parent / "test_configs" - return [str((test_config_dir / cfg).absolute()) for cfg in configs] - - def clear_test_dirs(): log_dir = os.path.join(get_root_directory(), TEST_LOG_DIR) if os.path.isdir(log_dir): @@ -280,6 +275,26 @@ def model_setup(yaml_list=None, param_dict=None, clear_data=True): return model, optimizer, lr_scheduler, args_loaded +def simulate_deepy_env(monkeypatch, input_args): + from megatron.neox_arguments import NeoXArgs + monkeypatch.setenv("WORLD_SIZE", "1") + monkeypatch.setenv("RANK", "0") + neox_args = NeoXArgs.consume_deepy_args(input_args) + deepspeed_main_args = neox_args.get_deepspeed_main_args() + return deepspeed_main_args + + +def save_random_model(input_args, model_dir, train_iters=0): + # Save randomly initialised model + train_args = { + "do_train": False, + "train_iters": train_iters, + "save": model_dir, + "extra_save_iters": [train_iters], + } + train.main(input_args=input_args, overwrite_values=train_args) + + def bounded_product(sequence, n=None, seed=None): """ Returns a shuffled, bounded cartesian product of the input sequence. @@ -298,6 +313,21 @@ def bounded_product(sequence, n=None, seed=None): return p if n is None else p[:n] +def model_setup_simple(deepspeed_main_args, overwrite_values, iteration=None): + from megatron.neox_arguments import NeoXArgs + from megatron import initialize_megatron + from megatron.training import setup_model_and_optimizer + + neox_args = NeoXArgs.consume_neox_args(input_args=deepspeed_main_args, overwrite_values=overwrite_values) + neox_args.configure_distributed_args() + neox_args.build_tokenizer() + initialize_megatron(neox_args=neox_args) + model, optimizer, lr_scheduler = setup_model_and_optimizer( + neox_args=neox_args, use_cache=False + ) + return model, optimizer, lr_scheduler, neox_args + + def parametrize( params_to_test: dict, max_tests: int = 50, seed: int = None, with_names=True ): @@ -352,5 +382,5 @@ def dict_repr(d): binary = [True, False] -with open(get_test_configs_with_path(["test_train_base.yml"])[0], "r") as f: +with open("tests/config/test_setup.yml", "r") as f: BASE_CONFIG = load(f, Loader=Loader) diff --git a/tests/config/test_setup.yml b/tests/config/test_setup.yml new file mode 100644 index 000000000..4cf5ffcd5 --- /dev/null +++ b/tests/config/test_setup.yml @@ -0,0 +1,81 @@ +# 19M parameter model, & local setup with some additional simplifications +{ + # Settings to make the test setup as lightweight as possible + "data_path": "data/enwik8/enwik8_text_document", + "vocab_file": "data/gpt2-vocab.json", + "merge_file": "data/gpt2-merges.txt", + "lr_decay_iters": 20, + "train_iters": 20, + "hostfile": "None", + "include": "localhost:1", + "use_wandb": False, + + # Settings copied from 19M parameter config (some modifications above, meaning we can't use configs/19M.yml directly) + "pipe_parallel_size": 1, + "model_parallel_size": 1, + + # model settings + "num_layers": 2, + "hidden_size": 8, + "num_attention_heads": 4, + "seq_length": 1024, + "max_position_embeddings": 1024, + "pos_emb": "rotary", + "no_weight_tying": true, + "gpt_j_residual": false, + "output_layer_parallelism": "column", + + "scaled_upper_triang_masked_softmax_fusion": false, + "bias_gelu_fusion": false, + + # Optimizer + "optimizer": { + "type": "sm3", + "params": {}, + }, + + # precision + "precision": "fp16", + + # init methods + "init_method": "small_init", + "output_layer_init_method": "wang_init", + + "train_micro_batch_size_per_gpu": 4, + "gas": 1, + "data_impl": "mmap", + "num_workers": 1, + + # activation checkpointing + "checkpoint_activations": true, + "checkpoint_num_layers": 1, + "partition_activations": true, + "synchronize_each_layer": true, + + # regularization + "gradient_clipping": 1.0, + "weight_decay": 0.1, + "hidden_dropout": 0, + "attention_dropout": 0, + + "distributed_backend": "nccl", + "lr_decay_style": "cosine", + "warmup": 0.01, + "checkpoint_factor": 1000, + "eval_interval": 100000, + "eval_iters": 10, + + "log_interval": 10, + "steps_per_print": 10, + "wall_clock_breakdown": true, + + # additional deepspeed args not specified above + "deepspeed_extra_args": { + "comms_logger": { + "enabled": true, + "verbose": true, + "prof_all": true, + "debug": false + }, + } +} diff --git a/tests/data/enwik8_first100.txt b/tests/data/enwik8_first100.txt new file mode 100644 index 000000000..cf0afdd98 --- /dev/null +++ b/tests/data/enwik8_first100.txt @@ -0,0 +1,100 @@ + + + Wikipedia + http://en.wikipedia.org/wiki/Main_Page + MediaWiki 1.6alpha + first-letter + + Media + Special + + Talk + User + User talk + Wikipedia + Wikipedia talk + Image + Image talk + MediaWiki + MediaWiki talk + Template + Template talk + Help + Help talk + Category + Category talk + Portal + Portal talk + + + + AaA + 1 + + 32899315 + 2005-12-27T18:46:47Z + + Jsmethers + 614213 + + #REDIRECT [[AAA]] + + + + AlgeriA + 5 + + 18063769 + 2005-07-03T11:13:13Z + + Docu + 8029 + + + adding cur_id=5: {{R from CamelCase}} + #REDIRECT [[Algeria]]{{R from CamelCase}} + + + + AmericanSamoa + 6 + + 18063795 + 2005-07-03T11:14:17Z + + Docu + 8029 + + + adding to cur_id=6 {{R from CamelCase}} + #REDIRECT [[American Samoa]]{{R from CamelCase}} + + + + AppliedEthics + 8 + + 15898943 + 2002-02-25T15:43:11Z + + Conversion script + + + Automated conversion + #REDIRECT [[Applied ethics]] + + + + + AccessibleComputing + 10 + + 15898945 + 2003-04-25T22:18:38Z + + Ams80 + 7543 + + + Fixing redirect + #REDIRECT [[Accessible_computing]] diff --git a/tests/data/hf_cache/tokenizer/gpt2.json b/tests/data/hf_cache/tokenizer/gpt2.json new file mode 100644 index 000000000..f53f61f36 --- /dev/null +++ b/tests/data/hf_cache/tokenizer/gpt2.json @@ -0,0 +1,100305 @@ +{ + "version": "1.0", + "truncation": null, + "padding": null, + "added_tokens": [ + { + "id": 50256, + "content": "<|endoftext|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": true + } + ], + "normalizer": null, + "pre_tokenizer": { + "type": "ByteLevel", + "add_prefix_space": false, + "trim_offsets": true, + "use_regex": true + }, + "post_processor": { + "type": "ByteLevel", + "add_prefix_space": true, + "trim_offsets": false, + "use_regex": true + }, + "decoder": { + "type": "ByteLevel", + "add_prefix_space": true, + "trim_offsets": true, + "use_regex": true + }, + "model": { + "type": "BPE", + "dropout": null, + "unk_token": null, + "continuing_subword_prefix": "", + "end_of_word_suffix": "", + "fuse_unk": false, + "byte_fallback": false, + "vocab": { + "!": 0, + "\"": 1, + "#": 2, + "$": 3, + "%": 4, + "&": 5, + "'": 6, + "(": 7, + ")": 8, + "*": 9, + "+": 10, + ",": 11, + "-": 12, + ".": 13, + "/": 14, + "0": 15, + "1": 16, + "2": 17, + "3": 18, + "4": 19, + "5": 20, + "6": 21, + "7": 22, + "8": 23, + "9": 24, + ":": 25, + ";": 26, + "<": 27, + "=": 28, + ">": 29, + "?": 30, + "@": 31, + "A": 32, + "B": 33, + "C": 34, + "D": 35, + "E": 36, + "F": 37, + "G": 38, + "H": 39, + "I": 40, + "J": 41, + "K": 42, + "L": 43, + "M": 44, + "N": 45, + "O": 46, + "P": 47, + "Q": 48, + "R": 49, + "S": 50, + "T": 51, + "U": 52, + "V": 53, + "W": 54, + "X": 55, + "Y": 56, + "Z": 57, + "[": 58, + "\\": 59, + "]": 60, + "^": 61, + "_": 62, + "`": 63, + "a": 64, + "b": 65, + "c": 66, + "d": 67, + "e": 68, + "f": 69, + "g": 70, + "h": 71, + "i": 72, + "j": 73, + "k": 74, + "l": 75, + "m": 76, + "n": 77, + "o": 78, + "p": 79, + "q": 80, + "r": 81, + "s": 82, + "t": 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"imensional": 16198, + "Ġchron": 16199, + "Ġtheoretical": 16200, + "ktop": 16201, + "Ġware": 16202, + "ĠInvestig": 16203, + "ĠIniti": 16204, + "ĠOperations": 16205, + "oven": 16206, + "ocide": 16207, + "*/": 16208, + "Ġflames": 16209, + "ĠCash": 16210, + "shit": 16211, + "Ġcab": 16212, + "ĠAnaly": 16213, + "ĠSeah": 16214, + "Ġdefining": 16215, + "Ġordering": 16216, + "Ġimmun": 16217, + "Ġpersistent": 16218, + "ACH": 16219, + "Russian": 16220, + "mans": 16221, + "Ġhind": 16222, + "Ġphotography": 16223, + "©": 16224, + "Ġhug": 16225, + "Ġ107": 16226, + "ĠHence": 16227, + "iots": 16228, + "udeau": 16229, + "Ġsubsidies": 16230, + "Ġroutinely": 16231, + "ĠDevice": 16232, + "itic": 16233, + "Ġdisgust": 16234, + "lander": 16235, + "Ġ1940": 16236, + "Ġassignment": 16237, + "ĠBesides": 16238, + "wick": 16239, + "ĠDust": 16240, + "usc": 16241, + "structed": 16242, + "111": 16243, + "develop": 16244, + "Ġfond": 16245, + "Ġintersection": 16246, + "Ġdignity": 16247, + "Ġcommissioner": 16248, + 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"Ult": 16301, + "project": 16302, + "Ġundermin": 16303, + "Ġsequel": 16304, + "Sam": 16305, + "ĠDarkness": 16306, + "Ġreception": 16307, + "bull": 16308, + "YS": 16309, + "ĠVir": 16310, + "Ġsequences": 16311, + "ĠCoin": 16312, + "Ġoutfit": 16313, + "ĠWait": 16314, + "119": 16315, + "Ġdelivers": 16316, + "......": 16317, + "Ġblown": 16318, + "ĠEsc": 16319, + "ĠMath": 16320, + "perm": 16321, + "ĠUl": 16322, + "Ġglim": 16323, + "Ġfacial": 16324, + "Ġgreenhouse": 16325, + "Ġtokens": 16326, + "/-": 16327, + "ĠAnnual": 16328, + "ĠONE": 16329, + "Ġteenage": 16330, + "ĠPhysical": 16331, + "ĠLang": 16332, + "ĠCelt": 16333, + "Ġsued": 16334, + "ividually": 16335, + "Ġpatience": 16336, + "chair": 16337, + "regular": 16338, + "Ġaug": 16339, + "inv": 16340, + "except": 16341, + "ĠLil": 16342, + "Ġnest": 16343, + "fd": 16344, + "sum": 16345, + "ĠChase": 16346, + "Russia": 16347, + "ĠJennifer": 16348, + "Ġoffseason": 16349, + "Overall": 16350, + "Fore": 16351, + "Ġriot": 16352, + "Aud": 16353, + 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"aucus": 16710, + "Ġadaptation": 16711, + "ĠAirlines": 16712, + "Ġarchae": 16713, + "ĠIde": 16714, + "Ġbikes": 16715, + "Ġliterary": 16716, + "Ġinfluences": 16717, + "ĠUsed": 16718, + "Creat": 16719, + "Ġplea": 16720, + "ĠDefence": 16721, + "ĠAssass": 16722, + "Ġpond": 16723, + "ULT": 16724, + ")\"": 16725, + "Ġevaluated": 16726, + "Ġobtaining": 16727, + "Ġdemographic": 16728, + "Ġvigil": 16729, + "aley": 16730, + "Ġspouse": 16731, + "ĠSeahawks": 16732, + "respons": 16733, + "ĠBelt": 16734, + "umatic": 16735, + "Ġrises": 16736, + "runner": 16737, + "ĠMichelle": 16738, + "Ġpotent": 16739, + "race": 16740, + "ĠPAC": 16741, + "Find": 16742, + "olesterol": 16743, + "ISS": 16744, + "ĠIntroduced": 16745, + "resses": 16746, + "ignment": 16747, + "Os": 16748, + "ĠTu": 16749, + "ĠDex": 16750, + "icides": 16751, + "Ġsparked": 16752, + "ĠLaura": 16753, + "ĠBryant": 16754, + "Ġsmiling": 16755, + "ĠNexus": 16756, + "Ġdefendants": 16757, + "ĠCatal": 16758, + "Ġdishes": 16759, + "shaped": 16760, + 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"portion": 16864, + "Ġrecalls": 16865, + "Ġruin": 16866, + "Ġmelt": 16867, + "IAN": 16868, + "Ġhem": 16869, + "Exp": 16870, + "Ġbaking": 16871, + "ĠColomb": 16872, + "atible": 16873, + "Ġradius": 16874, + "plug": 16875, + "ĠIF": 16876, + "etically": 16877, + "Ġfict": 16878, + "HER": 16879, + "ĠTap": 16880, + "atinum": 16881, + "Ġink": 16882, + "Ġcoh": 16883, + "ĠWizard": 16884, + "both": 16885, + "tex": 16886, + "Ġspends": 16887, + "ĠCurrently": 16888, + "ĠPit": 16889, + "Ġneurons": 16890, + "ignt": 16891, + "Ġrall": 16892, + "Ġbuses": 16893, + "building": 16894, + "Ġadjustments": 16895, + "Ġcried": 16896, + "iblical": 16897, + "atted": 16898, + "ĠZion": 16899, + "ĠMatter": 16900, + "Ġmeditation": 16901, + "ĠDennis": 16902, + "Ġours": 16903, + "ĠTab": 16904, + "Ġrankings": 16905, + "ortal": 16906, + "Ġadvers": 16907, + "Ġsurrender": 16908, + "ĠGob": 16909, + "cium": 16910, + "omas": 16911, + "imeter": 16912, + "Ġmultiplayer": 16913, + "Ġheroin": 16914, + "Ġoptimistic": 16915, + 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17828, + "Contact": 17829, + "Ġaccounted": 17830, + "hash": 17831, + "ĠPackers": 17832, + "pires": 17833, + "Ġlesbian": 17834, + "Ġamendments": 17835, + "Ġhopeful": 17836, + "ĠFinland": 17837, + "Ġspotlight": 17838, + "Ġconfigured": 17839, + "Ġtroubled": 17840, + "Ġgaze": 17841, + "ĠCalgary": 17842, + "Ġreliability": 17843, + "Ġinsurg": 17844, + "swer": 17845, + "buy": 17846, + "ĠSkin": 17847, + "Ġpixels": 17848, + "Ġhandgun": 17849, + "Ġparas": 17850, + "Ġcategor": 17851, + "ĠEL": 17852, + "ĠRex": 17853, + "Indeed": 17854, + "Ġkinda": 17855, + "Ġconjunction": 17856, + "ĠBryan": 17857, + "ĠManufact": 17858, + "yang": 17859, + "Plus": 17860, + "SQL": 17861, + "ishment": 17862, + "Ġdominate": 17863, + "Ġnail": 17864, + "Ġoath": 17865, + "Ġerupt": 17866, + "ĠFine": 17867, + "itbart": 17868, + "ĠChip": 17869, + "ĠAbd": 17870, + "ĠNam": 17871, + "Ġbuyer": 17872, + "Ġdissent": 17873, + "Leaks": 17874, + "Contin": 17875, + "Ġrider": 17876, + "ĠSomeone": 17877, + "Ġillusion": 17878, + "cin": 17879, + "ĠBoeing": 17880, + "Ġinadequ": 17881, + "ovation": 17882, + "iants": 17883, + "Ġrebuild": 17884, + "450": 17885, + "ĠDestiny": 17886, + "SW": 17887, + "ĠTill": 17888, + "Hit": 17889, + "iaz": 17890, + "ĠBangl": 17891, + "achers": 17892, + "ĠReform": 17893, + "Ġsegments": 17894, + "Ġsystematic": 17895, + "dc": 17896, + "ĠConservatives": 17897, + "Ġportal": 17898, + "hor": 17899, + "ĠDragonbound": 17900, + "Ġdragged": 17901, + "omo": 17902, + "Ġthee": 17903, + "advert": 17904, + "ĠReports": 17905, + "ĠEt": 17906, + "Ġbarrels": 17907, + "August": 17908, + "Ġcomparisons": 17909, + "Ġhex": 17910, + "Ġanthrop": 17911, + "\"[": 17912, + "borough": 17913, + "abi": 17914, + "Ġpictured": 17915, + "playing": 17916, + "ĠAddress": 17917, + "ĠMirror": 17918, + "Smith": 17919, + "Ġtires": 17920, + "ĠNPR": 17921, + "AAAA": 17922, + "Ġclassification": 17923, + "ĠThan": 17924, + "ĠHarm": 17925, + "ĠRA": 17926, + "Ġrejection": 17927, + "mination": 17928, + "Ġranged": 17929, + "ĠFalls": 17930, + "DI": 17931, + "Host": 17932, + "ãĤ´": 17933, + "ĠExample": 17934, + "listed": 17935, + "thirds": 17936, + "Ġsafegu": 17937, + "brand": 17938, + "Ġprobable": 17939, + "Canada": 17940, + "ITION": 17941, + "ĠQaeda": 17942, + "Ġchick": 17943, + "Ġimports": 17944, + "hit": 17945, + "loc": 17946, + "WW": 17947, + "Ġblew": 17948, + "Ġanytime": 17949, + "Ġwholes": 17950, + "iked": 17951, + "Ġcalculation": 17952, + "create": 17953, + "ĠOri": 17954, + "Ġupgraded": 17955, + "Ġappar": 17956, + "utory": 17957, + "ĠMol": 17958, + "Brit": 17959, + "ĠJong": 17960, + "INAL": 17961, + "ĠStarting": 17962, + "Ġdice": 17963, + "urtle": 17964, + "Ġrelying": 17965, + "closure": 17966, + "Ġprofitable": 17967, + "Ġslaughter": 17968, + "ĠManual": 17969, + "caster": 17970, + "Ġ\"$": 17971, + "Ġfeather": 17972, + "ĠSimply": 17973, + "ieves": 17974, + "Ġdeterior": 17975, + "ĠPCI": 17976, + "Ġstamp": 17977, + "Ġflaws": 17978, + "Ġshade": 17979, + "hammer": 17980, + "Ġpassport": 17981, + "Ġconting": 17982, + "amel": 17983, + "Ġobservers": 17984, + "Ġneglect": 17985, + "ĠRB": 17986, + "ĠBrotherhood": 17987, + "Ġskeptical": 17988, + "family": 17989, + "usk": 17990, + "Ġemotionally": 17991, + "âĻ": 17992, + "ĠBeta": 17993, + "asonable": 17994, + "idity": 17995, + "ĠMul": 17996, + "Ġkicking": 17997, + "ĠCarm": 17998, + "ollah": 17999, + "VERTIS": 18000, + "ĠAthen": 18001, + "Ġladder": 18002, + "ĠBullet": 18003, + "å£": 18004, + "0001": 18005, + "ĠWildlife": 18006, + "ĠMask": 18007, + "ĠNan": 18008, + "Rev": 18009, + "Ġunacceptable": 18010, + "legal": 18011, + "Ġcrowded": 18012, + "agi": 18013, + "ĠCox": 18014, + "je": 18015, + "Ġmorality": 18016, + "Ġfuels": 18017, + "Ġcables": 18018, + "Ġmankind": 18019, + "ĠCaribbean": 18020, + "Ġanchor": 18021, + "Ġbyte": 18022, + "ĠOften": 18023, + "ĠOz": 18024, + "Ġcrafted": 18025, + "Ġhistorian": 18026, + "ĠWu": 18027, + "Ġtowers": 18028, + "ĠCitizens": 18029, + "Ġhelm": 18030, + "Ġcredentials": 18031, + "Ġsingular": 18032, + "ĠJesse": 18033, + "Ġtackles": 18034, + "Ġcontempt": 18035, + "Ġafore": 18036, + "ĠShadows": 18037, + "Ġnil": 18038, + "Ġurgent": 18039, + "apple": 18040, + "blood": 18041, + "Ġvon": 18042, + "Ġoffline": 18043, + "Ġbreathe": 18044, + "Ġjumps": 18045, + "Ġirrelevant": 18046, + "oxic": 18047, + "omal": 18048, + "important": 18049, + "Jim": 18050, + "Ġgloves": 18051, + "arming": 18052, + "depth": 18053, + "Ġtalents": 18054, + "ookie": 18055, + "ĠSB": 18056, + "Ġpalm": 18057, + "uffs": 18058, + "esta": 18059, + "IGH": 18060, + "Ġcanon": 18061, + "ĠVerizon": 18062, + "ĠPle": 18063, + "Ġcoupled": 18064, + "velt": 18065, + "Ġfundraising": 18066, + "ĠGetting": 18067, + "ĠDLC": 18068, + "Ġmathematical": 18069, + "ĠHS": 18070, + "ĠCardinals": 18071, + "telling": 18072, + "Ġsponsors": 18073, + "ĠÏ": 18074, + "ĠBulls": 18075, + "option": 18076, + "Ġpropose": 18077, + "Ġmemorable": 18078, + "Ġembraced": 18079, + "Ġdeclining": 18080, + "Health": 18081, + "eda": 18082, + "Ġ};": 18083, + "Ġspam": 18084, + "mile": 18085, + "Ġpitcher": 18086, + "ĠEight": 18087, + "Ġcaring": 18088, + "utic": 18089, + "role": 18090, + "Ġairline": 18091, + "ernandez": 18092, + "ĠAthlet": 18093, + "Ġcertification": 18094, + "uxe": 18095, + "riger": 18096, + "Ġempir": 18097, + "Ġsensation": 18098, + "Ġdism": 18099, + "Ġbolt": 18100, + "Ġevolve": 18101, + "House": 18102, + "Ġconsultation": 18103, + "ĠDuty": 18104, + "Ġtouches": 18105, + "ĠNathan": 18106, + "Ġfaint": 18107, + "had": 18108, + "\"(": 18109, + "ĠConsumer": 18110, + "ĠExtreme": 18111, + "Ġ127": 18112, + "ĠHerm": 18113, + "ĠSacrament": 18114, + "izoph": 18115, + "Ġanxious": 18116, + "ulously": 18117, + "Ġsocially": 18118, + "ĠUTC": 18119, + "Ġsolving": 18120, + "ĠLetter": 18121, + "History": 18122, + "educ": 18123, + "Price": 18124, + "));": 18125, + "Ġreload": 18126, + "amic": 18127, + "Ġpork": 18128, + "Ġdiscourse": 18129, + "Ġtournaments": 18130, + "airo": 18131, + "ĠKur": 18132, + "ĠCosta": 18133, + "Ġviolating": 18134, + "Ġinterfere": 18135, + "Ġrecreational": 18136, + "uffle": 18137, + "Ġspeeches": 18138, + "Ġneeding": 18139, + "Ġremembers": 18140, + "Ġcredited": 18141, + "nia": 18142, + "focused": 18143, + "amera": 18144, + "Ġbru": 18145, + "umbs": 18146, + "ĠCuban": 18147, + "Ġpreceding": 18148, + "Ġnonsense": 18149, + "acial": 18150, + "Ġsmartphones": 18151, + "ĠStories": 18152, + "Sports": 18153, + "ĠEmergency": 18154, + "ouncing": 18155, + "efined": 18156, + "Ġber": 18157, + "Ġconsulting": 18158, + "Ġmasters": 18159, + "heastern": 18160, + ".\"[": 18161, + "ĠRunning": 18162, + "Ġsuscept": 18163, + "ĠFeng": 18164, + "America": 18165, + "prises": 18166, + "stitial": 18167, + "ĠWeekly": 18168, + "ĠGreater": 18169, + "modules": 18170, + "ifter": 18171, + "Graphics": 18172, + "uler": 18173, + "Ġwholly": 18174, + "Ġsuppress": 18175, + "Ġconcealed": 18176, + "Ġhappily": 18177, + "Ġaccepts": 18178, + "ĠEnjoy": 18179, + "Ġrivers": 18180, + "ĠExcept": 18181, + "225": 18182, + "ĠNHS": 18183, + "ĠMcConnell": 18184, + "Ġpussy": 18185, + "ferred": 18186, + "utable": 18187, + "Ġattain": 18188, + "Ġ>=": 18189, + "Ġdeposits": 18190, + "rophic": 18191, + "Ġnotorious": 18192, + "ĠShaw": 18193, + "ilitation": 18194, + "Ġepidemic": 18195, + "allic": 18196, + "Ġsmallest": 18197, + "ovich": 18198, + "Ġaccessories": 18199, + "perties": 18200, + "Ġsurplus": 18201, + "ĠMech": 18202, + "Ġambig": 18203, + "ĠImmigration": 18204, + "Ġchim": 18205, + "eval": 18206, + "Ġpracticing": 18207, + "ĠMystery": 18208, + "Ġdomains": 18209, + "ĠSilicon": 18210, + "apps": 18211, + "Ġkilometers": 18212, + "ea": 18213, + "ĠSmash": 18214, + "Ġwarranty": 18215, + "Ġnost": 18216, + "sil": 18217, + "rev": 18218, + "Jon": 18219, + "ĠDublin": 18220, + "Ġtastes": 18221, + "Ġbout": 18222, + "great": 18223, + "error": 18224, + "Ġswitches": 18225, + "ĠBapt": 18226, + "DO": 18227, + "oki": 18228, + "Ġsourced": 18229, + "produ": 18230, + "Ġattachment": 18231, + "ĠIssue": 18232, + "ĠQuestion": 18233, + "Join": 18234, + "Ġfitted": 18235, + "Ġunlawful": 18236, + "^^": 18237, + "erek": 18238, + "Ġauthentication": 18239, + "Ġstole": 18240, + "Ġaccountability": 18241, + "label": 18242, + "Search": 18243, + "Ġalbeit": 18244, + "atican": 18245, + "funded": 18246, + "ĠAdding": 18247, + "ĠIQ": 18248, + "Ġsubmar": 18249, + "lit": 18250, + "aque": 18251, + "ĠLearning": 18252, + "Ġinteger": 18253, + "Master": 18254, + "ĠChrom": 18255, + "Ġpremier": 18256, + "Op": 18257, + "ĠLiu": 18258, + "Ġblessed": 18259, + "ĠGlobe": 18260, + "ĠResponse": 18261, + "Ġlegitim": 18262, + "ĠMerkel": 18263, + "Ġdisposal": 18264, + "´": 18265, + "Ġgauge": 18266, + "peat": 18267, + "Ġinduced": 18268, + "Ġquestionable": 18269, + "arthy": 18270, + "ĠVit": 18271, + "ĠFeed": 18272, + "Until": 18273, + "Ut": 18274, + "worthy": 18275, + "RY": 18276, + "ĠHerald": 18277, + "ĠHammer": 18278, + "Ġmedal": 18279, + "ĠRivers": 18280, + "ĠHack": 18281, + "Ġclarify": 18282, + "Ġtracked": 18283, + "Ġautonomous": 18284, + "Ġtenant": 18285, + "ĠQatar": 18286, + "erie": 18287, + "Ġgrim": 18288, + "ĠMonitor": 18289, + "Ġresistant": 18290, + "ĠSpec": 18291, + "ĠWells": 18292, + "NAS": 18293, + "148": 18294, + "Ġminers": 18295, + "iotics": 18296, + "Ġmisses": 18297, + "116": 18298, + "gian": 18299, + "git": 18300, + "ĠEyes": 18301, + "pres": 18302, + "Ġgraduated": 18303, + "Ġangel": 18304, + "Ġsynchron": 18305, + "Ġefficiently": 18306, + "Ġtransmitted": 18307, + "Harry": 18308, + "Ġglobally": 18309, + "ENCE": 18310, + "ĠMontana": 18311, + "raged": 18312, + "ĠPrevention": 18313, + "Ġpiss": 18314, + "ĠLl": 18315, + "Ġshelf": 18316, + "ĠBJP": 18317, + "ĠTestament": 18318, + "ĠLate": 18319, + "iker": 18320, + "ĠHapp": 18321, + "ĠJulian": 18322, + "hall": 18323, + "Ġspont": 18324, + "Ġshutdown": 18325, + "Ġinconsistent": 18326, + "Ġsubscribers": 18327, + "Ġskeleton": 18328, + "ĠNebraska": 18329, + "Ġinspire": 18330, + "ĠVoid": 18331, + "Feed": 18332, + "Ġangles": 18333, + "ĠSprings": 18334, + "Ġbenchmark": 18335, + "Ġvaccines": 18336, + "izophren": 18337, + "sexual": 18338, + "uffed": 18339, + "Ġshine": 18340, + "ĠKath": 18341, + "Ġgesture": 18342, + "inea": 18343, + "Ġrip": 18344, + "Ġoppression": 18345, + "Ġconscience": 18346, + "bt": 18347, + "ĠLum": 18348, + "Ġincidence": 18349, + "ĠFa": 18350, + "wr": 18351, + "Ġmineral": 18352, + "ĠSpurs": 18353, + "alky": 18354, + "Ġthunder": 18355, + "Ġopio": 18356, + "Being": 18357, + "ĠPalm": 18358, + "Ġwasted": 18359, + "Ġlb": 18360, + "iaries": 18361, + "ĠInitiative": 18362, + "Ġcurric": 18363, + "Ġmarker": 18364, + "ĠMcL": 18365, + "Ġextensions": 18366, + "ĠPv": 18367, + "ĠArms": 18368, + "Ġofferings": 18369, + "Ġdefenses": 18370, + "Ġvendor": 18371, + "Ġcontradict": 18372, + "ĠColin": 18373, + "Ġreddit": 18374, + "Ġperipher": 18375, + "122": 18376, + "Ġsins": 18377, + "Edit": 18378, + "ICT": 18379, + "Soft": 18380, + "ĠShah": 18381, + "Ġadministrator": 18382, + "ĠTrip": 18383, + "Ġpornography": 18384, + "Ġtuition": 18385, + "inence": 18386, + "ĠProgress": 18387, + "Ġcatalog": 18388, + "Ġsuite": 18389, + "Ġhike": 18390, + "Ġreproductive": 18391, + "engine": 18392, + "Ġdrought": 18393, + "ĠNoah": 18394, + "Ġ230": 18395, + "Ġdude": 18396, + "Ġrelaxed": 18397, + "Ġpartition": 18398, + "Ġparticipant": 18399, + "Ġtelesc": 18400, + "Ġfeas": 18401, + "ĠFF": 18402, + "owner": 18403, + "Ġsweeping": 18404, + "Ġlenses": 18405, + "Ġmatchup": 18406, + "ĠRepl": 18407, + "ournals": 18408, + "Ġcredible": 18409, + "Ġgrandmother": 18410, + "Ġthermal": 18411, + "Ġsubscribing": 18412, + "Ġidentities": 18413, + "colm": 18414, + "UCT": 18415, + "Ġreluctant": 18416, + "users": 18417, + "ĠCort": 18418, + "Ġassisted": 18419, + "OSS": 18420, + "ATIONS": 18421, + "ISH": 18422, + "Ġpharmaceutical": 18423, + "icable": 18424, + "adian": 18425, + "ĠSonic": 18426, + "ĠFury": 18427, + "ĠMong": 18428, + "AH": 18429, + "ĠPsychology": 18430, + "Ġphosph": 18431, + "Ġtreats": 18432, + "ŃĶ": 18433, + "Ġsteadily": 18434, + "ĠHello": 18435, + "Ġrelates": 18436, + "Ġclue": 18437, + "Expl": 18438, + "auth": 18439, + "Ġrevision": 18440, + "Ġeld": 18441, + "osion": 18442, + "Ġbron": 18443, + "144": 18444, + "rikes": 18445, + "Ġmines": 18446, + "Ġblanket": 18447, + "ĠFail": 18448, + "eled": 18449, + "ĠImagine": 18450, + "ĠPlanned": 18451, + "aic": 18452, + "Request": 18453, + "Mad": 18454, + "ĠHorse": 18455, + "ĠEagle": 18456, + "Ġcapac": 18457, + "157": 18458, + "Ġling": 18459, + "ĠNice": 18460, + "ĠParenthood": 18461, + "minster": 18462, + "ogs": 18463, + "ensitive": 18464, + "Nothing": 18465, + "Ġcarn": 18466, + "Fin": 18467, + "ĠPE": 18468, + "Ġrifles": 18469, + "ĠLP": 18470, + "Sand": 18471, + "ĠguiActive": 18472, + "Ġtourist": 18473, + "CNN": 18474, + "Ġunveiled": 18475, + "Ġpredecessor": 18476, + "}{": 18477, + "uber": 18478, + "Ġoffshore": 18479, + "Ġoptical": 18480, + "ĠRot": 18481, + "ĠPearl": 18482, + "eton": 18483, + "Ġstared": 18484, + "Ġfarther": 18485, + "atility": 18486, + "contin": 18487, + "ĠGy": 18488, + "ĠFoster": 18489, + "ĠCoc": 18490, + "rients": 18491, + "Ġdesigning": 18492, + "ĠEconomy": 18493, + "ONG": 18494, + "Women": 18495, + "ĠNancy": 18496, + "erver": 18497, + "Ġmascul": 18498, + "Ġcasualties": 18499, + "Ġ225": 18500, + "ĠSullivan": 18501, + "ĠChoice": 18502, + "Ġaster": 18503, + "ws": 18504, + "Ġhotels": 18505, + "Ġconsiderations": 18506, + "Ġcouch": 18507, + "ĠStrip": 18508, + "ĠGn": 18509, + "Ġmanipulate": 18510, + "lied": 18511, + "Ġsynthetic": 18512, + "Ġassaulted": 18513, + "Ġoffenses": 18514, + "ĠDrake": 18515, + "Ġimpe": 18516, + "October": 18517, + "ĠHeritage": 18518, + "hl": 18519, + "ĠBlair": 18520, + "Unlike": 18521, + "Ġgrief": 18522, + "Ġ450": 18523, + "Ġopted": 18524, + "Ġresignation": 18525, + "ilo": 18526, + "Ġverse": 18527, + "ĠTomb": 18528, + "Ġupt": 18529, + "Ġaired": 18530, + "ĠHook": 18531, + "ĠMLB": 18532, + "Ġassumes": 18533, + "outed": 18534, + "ĠVers": 18535, + "Ġinferior": 18536, + "Ġbundle": 18537, + "ĠDNS": 18538, + "ographer": 18539, + "Ġmultip": 18540, + "ĠSouls": 18541, + "Ġillustrated": 18542, + "Ġtactic": 18543, + "Ġdressing": 18544, + "Ġduo": 18545, + "Conf": 18546, + "Ġrelent": 18547, + "Ġcant": 18548, + "Ġscarce": 18549, + "Ġcandy": 18550, + "ĠCF": 18551, + "Ġaffiliated": 18552, + "Ġsprint": 18553, + "ylan": 18554, + "ĠGarcia": 18555, + "Ġjunk": 18556, + "Print": 18557, + "exec": 18558, + "Crit": 18559, + "Ġportrait": 18560, + "iries": 18561, + "ĠOFF": 18562, + "Ġdisputes": 18563, + "WR": 18564, + "Love": 18565, + "ãģĦ": 18566, + "ĠReyn": 18567, + "Ġhipp": 18568, + "opath": 18569, + "Ġfloors": 18570, + "ĠFeel": 18571, + "Ġworries": 18572, + "Ġsettlements": 18573, + "ĠPos": 18574, + "Ġmosque": 18575, + "Ġfinals": 18576, + "Ġcrushed": 18577, + "ĠProbably": 18578, + "ĠBot": 18579, + "ĠMans": 18580, + "ĠPeriod": 18581, + "Ġsovereignty": 18582, + "Ġseller": 18583, + "Ġapost": 18584, + "Ġamateur": 18585, + "Ġdorm": 18586, + "Ġconsuming": 18587, + "Ġarmour": 18588, + "ĠRoose": 18589, + "Ġintensive": 18590, + "Ġeliminating": 18591, + "ĠSunni": 18592, + "ĠAleppo": 18593, + "jin": 18594, + "Ġadvise": 18595, + "pal": 18596, + "ĠHalo": 18597, + "Ġdescent": 18598, + "Ġsimpler": 18599, + "Ġbooth": 18600, + "STR": 18601, + "Later": 18602, + "ĠCave": 18603, + "===": 18604, + "Ġmol": 18605, + "Ġfist": 18606, + "Ġshotgun": 18607, + "supp": 18608, + "Ġrobbery": 18609, + "Effect": 18610, + "Ġobscure": 18611, + "ĠProfessional": 18612, + "Ġembassy": 18613, + "Ġmilitant": 18614, + "Ġincarcer": 18615, + "Ġgenerates": 18616, + "Ġlaunches": 18617, + "Ġadministrators": 18618, + "Ġshaft": 18619, + "Ġcircular": 18620, + "Ġfreshman": 18621, + "ĠWes": 18622, + "ĠJoel": 18623, + "ĠDrew": 18624, + "ĠDuncan": 18625, + "ĠApparently": 18626, + "sight": 18627, + "ĠInternal": 18628, + "ĠIndividual": 18629, + "ĠFE": 18630, + "Ġbore": 18631, + "ĠMt": 18632, + "Ġbroadly": 18633, + "ĠOptions": 18634, + "ountain": 18635, + "ipes": 18636, + "ĠVideos": 18637, + "204": 18638, + "Ġhills": 18639, + "Ġsimulation": 18640, + "Ġdisappointment": 18641, + "itan": 18642, + "ĠLaboratory": 18643, + "Ġupward": 18644, + "Ġboundary": 18645, + "Ġdarker": 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"202": 19004, + "Ġzombies": 19005, + "Final": 19006, + "ĠMillenn": 19007, + "Ġmodifications": 19008, + "ĠVision": 19009, + "ĠMoses": 19010, + "verb": 19011, + "iterranean": 19012, + "ĠJet": 19013, + "Ġnaval": 19014, + "ĠAgg": 19015, + "Ġurl": 19016, + "Ġvictories": 19017, + "Ġnonetheless": 19018, + "Ġinjust": 19019, + "ĠFact": 19020, + "çļ": 19021, + "Ġinsufficient": 19022, + "review": 19023, + "facebook": 19024, + "Ġnegotiating": 19025, + "Ġguarantees": 19026, + "imen": 19027, + "utenberg": 19028, + "Ġgambling": 19029, + "Ġcongr": 19030, + "Loading": 19031, + "Ġnevertheless": 19032, + "Ġpresidents": 19033, + "ĠIndustrial": 19034, + "Ġ118": 19035, + "Ġpoured": 19036, + "ĠTory": 19037, + "Ġ175": 19038, + "Ġ:=": 19039, + "Scott": 19040, + "angered": 19041, + "Tok": 19042, + "Ġorganizers": 19043, + "Mat": 19044, + "ĠGrowth": 19045, + "Ġadul": 19046, + "Ġensures": 19047, + "Ġ117": 19048, + "é¾įå": 19049, + "Ġmassacre": 19050, + "Ġgrades": 19051, + "before": 19052, + "ADVERTISEMENT": 19053, 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"ĠComplex": 19157, + "Ġoversee": 19158, + "Ġstealth": 19159, + "Title": 19160, + "ĠJobs": 19161, + "ĠKum": 19162, + "Ġappreciation": 19163, + "ĠMOD": 19164, + "Ġbasics": 19165, + "Ġclips": 19166, + "Ġnursing": 19167, + "Ġproposition": 19168, + "Ġrealised": 19169, + "ĠNYC": 19170, + "Ġallocated": 19171, + "rium": 19172, + "aran": 19173, + "ĠProduction": 19174, + "ĠVote": 19175, + "Ġsmugg": 19176, + "Ġhunter": 19177, + "azer": 19178, + "ĠChanges": 19179, + "Ġfluct": 19180, + "yon": 19181, + "Array": 19182, + "Ġkits": 19183, + "Water": 19184, + "Ġuncommon": 19185, + "Ġresting": 19186, + "ells": 19187, + "would": 19188, + "Ġpursued": 19189, + "Ġassertion": 19190, + "ometown": 19191, + "ĠMosul": 19192, + "ĠPlatform": 19193, + "iolet": 19194, + "Ġshareholders": 19195, + "Ġtrails": 19196, + "Pay": 19197, + "ĠEnforcement": 19198, + "types": 19199, + "ĠAnonymous": 19200, + "Ġsatisfying": 19201, + "ilogy": 19202, + "Ġ('": 19203, + "wave": 19204, + "city": 19205, + "Steve": 19206, + 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"ĠLenn": 28423, + "ĠWhis": 28424, + "Uk": 28425, + "abol": 28426, + "Ġsket": 28427, + "ĠNiet": 28428, + "Ġperks": 28429, + "Ġaffinity": 28430, + "Ġopenings": 28431, + "phasis": 28432, + "Ġdiscriminate": 28433, + "Tip": 28434, + "vc": 28435, + "Ġgrinding": 28436, + "ĠJenny": 28437, + "Ġasthma": 28438, + "holes": 28439, + "ĠHomer": 28440, + "Ġregisters": 28441, + "ĠGlad": 28442, + "Ġcreations": 28443, + "Ġlithium": 28444, + "Ġapplause": 28445, + "until": 28446, + "Justice": 28447, + "ĠTurks": 28448, + "Ġscandals": 28449, + "Ġbake": 28450, + "tank": 28451, + "Mech": 28452, + "ĠMeans": 28453, + "ĠMaid": 28454, + "Republicans": 28455, + "isal": 28456, + "windows": 28457, + "ĠSantos": 28458, + "Ġvegetation": 28459, + "338": 28460, + "tri": 28461, + "Ġflux": 28462, + "insert": 28463, + "Ġclarified": 28464, + "Ġmortg": 28465, + "ĠChim": 28466, + "ĠTort": 28467, + "Ġdisclaim": 28468, + "metal": 28469, + "ĠAside": 28470, + "Ġinduction": 28471, + "Ġinfl": 28472, + "Ġatheists": 28473, + "amph": 28474, + "Ġether": 28475, + "ĠVital": 28476, + "ĠBuilt": 28477, + "Mind": 28478, + "Ġweaponry": 28479, + "SET": 28480, + "Ġ186": 28481, + "admin": 28482, + "gam": 28483, + "contract": 28484, + "afa": 28485, + "Ġderivatives": 28486, + "Ġsnacks": 28487, + "Ġchurn": 28488, + "Econom": 28489, + "Ġcapped": 28490, + "ĠUnderstanding": 28491, + "ĠHers": 28492, + "ĠIz": 28493, + "Ġduct": 28494, + "IENT": 28495, + "aughty": 28496, + "ĠâľĶ": 28497, + "ĠNP": 28498, + "Ġsailing": 28499, + "Initialized": 28500, + "Ġted": 28501, + "Ġreactors": 28502, + "ĠLomb": 28503, + "Ġchoke": 28504, + "ĠWorm": 28505, + "Ġadmiration": 28506, + "Ġswung": 28507, + "ensibly": 28508, + "Ġrash": 28509, + "ĠGoals": 28510, + "ĠImportant": 28511, + "Shot": 28512, + "ĠRas": 28513, + "Ġtrainers": 28514, + "ĠBun": 28515, + "Working": 28516, + "Ġharmed": 28517, + "ĠPandora": 28518, + "ĠLTE": 28519, + "Ġmushroom": 28520, + "ĠCHAR": 28521, + "ĠFee": 28522, + "ĠMoy": 28523, + "Born": 28524, + "oliberal": 28525, + "ĠMartial": 28526, + "Ġgentlemen": 28527, + "Ġlingering": 28528, + "Official": 28529, + "Ġgraffiti": 28530, + "ĠNames": 28531, + "Der": 28532, + "Ġquint": 28533, + "istrate": 28534, + "azeera": 28535, + "ĠNOTICE": 28536, + "ĠFlorence": 28537, + "Ġpayable": 28538, + "Ġdepicts": 28539, + "ĠSpecies": 28540, + "Heart": 28541, + "âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ": 28542, + "Ġenclosed": 28543, + "Increases": 28544, + "Daily": 28545, + "ĠLis": 28546, + "Ġenactment": 28547, + "ĠBacon": 28548, + "ĠSteele": 28549, + "demand": 28550, + "Ġ183": 28551, + "Ġmouths": 28552, + "Ġstranded": 28553, + "Ġenhancement": 28554, + "011": 28555, + "ĠWhats": 28556, + "Ġhealed": 28557, + "eny": 28558, + "ĠRab": 28559, + "Ġ340": 28560, + "ĠLabyrinth": 28561, + "roach": 28562, + "ĠYosh": 28563, + "ĠClippers": 28564, + "Ġconcerts": 28565, + "Internet": 28566, + "355": 28567, + "Ġstickers": 28568, + "Ġtermed": 28569, + "ĠAxe": 28570, + "Ġgrandparents": 28571, + "France": 28572, + "ĠClim": 28573, + "ĠUh": 28574, + "ulic": 28575, + "Ġthrill": 28576, + "centric": 28577, + "ĠOverview": 28578, + "ĠConduct": 28579, + "Ġsubstantive": 28580, + "Ġ182": 28581, + "mur": 28582, + "Ġstray": 28583, + "ĠCoff": 28584, + "Ġrepetitive": 28585, + "ĠForgotten": 28586, + "Ġqualification": 28587, + "ewitness": 28588, + "ĠZimbabwe": 28589, + "Ġsimulated": 28590, + "ĠJD": 28591, + "253": 28592, + "ĠWare": 28593, + "Ġunsc": 28594, + "Times": 28595, + "Ġsummons": 28596, + "Ġdisconnected": 28597, + "Ġ184": 28598, + "cius": 28599, + "ĠGujar": 28600, + "odka": 28601, + "Ġerase": 28602, + "ĠTobacco": 28603, + "elected": 28604, + "Ġuncont": 28605, + "ĠShepard": 28606, + "ĠLamp": 28607, + "Ġalerted": 28608, + "Ġoperative": 28609, + "arna": 28610, + "uint": 28611, + "Ġnegligence": 28612, + "acements": 28613, + "Ġsupra": 28614, + "Ġprevail": 28615, + "ĠShark": 28616, + "Ġbelts": 28617, + "ãģ«": 28618, + "Ġtighter": 28619, + "Engineers": 28620, + "Ġinactive": 28621, + "Ġexponent": 28622, + "ĠWillie": 28623, + "aples": 28624, + "Ġheir": 28625, + "ĠHits": 28626, + "iann": 28627, + "ĠSays": 28628, + "Ġcurrents": 28629, + "ĠBengal": 28630, + "Ġarist": 28631, + "Buffer": 28632, + "Ġbreeze": 28633, + "ĠWesley": 28634, + "Cola": 28635, + "Ġpronoun": 28636, + "Ġdeed": 28637, + "ĠKling": 28638, + "Ġoft": 28639, + "Ġinflict": 28640, + "Ġpunishing": 28641, + "Ġnm": 28642, + "iku": 28643, + "ODUCT": 28644, + "014": 28645, + "Ġsubsidy": 28646, + "ĠDEA": 28647, + "ĠHerbert": 28648, + "ĠJal": 28649, + "Bank": 28650, + "Ġdeferred": 28651, + "Ġshipment": 28652, + "Bott": 28653, + "Ġalle": 28654, + "bearing": 28655, + "HTML": 28656, + "Offline": 28657, + "Ġ213": 28658, + "Ġscrolling": 28659, + "Ġscanned": 28660, + "ĠLibyan": 28661, + "ĠTOP": 28662, + "chrom": 28663, + "dt": 28664, + "column": 28665, + "PsyNetMessage": 28666, + "Zero": 28667, + "Ġtorso": 28668, + "050": 28669, + "âķIJ": 28670, + "Ġimperson": 28671, + "ĠSchwartz": 28672, + "udic": 28673, + "Ġpissed": 28674, + "ĠSapp": 28675, + "257": 28676, + "ĠISPs": 28677, + "ogl": 28678, + "Ġsupervised": 28679, + "Ġadolescent": 28680, + "Ġattained": 28681, + "ĠDelivery": 28682, + "ĠBunny": 28683, + "Ġ1937": 28684, + "Ġminiature": 28685, + "Ġos": 28686, + "Ġ370": 28687, + "608": 28688, + "ĠMourinho": 28689, + "Ġinnate": 28690, + "Ġtempo": 28691, + "ĠNM": 28692, + "ĠFallen": 28693, + "009": 28694, + "Ġprovocative": 28695, + "Streamer": 28696, + "ĠBenedict": 28697, + "ĠBolshe": 28698, + "Ġturtle": 28699, + "ĠPCB": 28700, + "ĠEqual": 28701, + "Director": 28702, + "ĠRend": 28703, + "Ġfluids": 28704, + "Authorities": 28705, + "Ġcousins": 28706, + "requency": 28707, + "ĠNeighbor": 28708, + "sets": 28709, + "shared": 28710, + "Charles": 28711, + "password": 28712, + "Ġgears": 28713, + "Ġ211": 28714, + "ĠHardware": 28715, + "rika": 28716, + "Ġupstream": 28717, + "Hom": 28718, + "Ġdisproportionately": 28719, + "ivities": 28720, + "Ġundefined": 28721, + "Ġelectrons": 28722, + "Ġcommemor": 28723, + "Eventually": 28724, + "Ġ><": 28725, + "Ġirresponsible": 28726, + "218": 28727, + "ĠReleased": 28728, + "ĠOVER": 28729, + "ĠIGN": 28730, + "ĠBread": 28731, + "stellar": 28732, + "ĠSage": 28733, + "tted": 28734, + "damage": 28735, + "edition": 28736, + "ĠPrec": 28737, + "Ġlime": 28738, + "Ġconfinement": 28739, + "Ġcalorie": 28740, + "weapon": 28741, + "Ġdiffering": 28742, + "ĠSina": 28743, + "mys": 28744, + "amd": 28745, + "Ġintricate": 28746, + "kk": 28747, + "ĠPAT": 28748, + "ão": 28749, + "stones": 28750, + "links": 28751, + "Ġranch": 28752, + "Semitic": 28753, + "Ġdifferentiate": 28754, + "ĠSinger": 28755, + "occupied": 28756, + "Ġfortress": 28757, + "cmd": 28758, + "Ġinterception": 28759, + "ĠAnkara": 28760, + "Ġrept": 28761, + "ĠSolitaire": 28762, + "Ġremake": 28763, + "pred": 28764, + "Ġdared": 28765, + "autions": 28766, + "ĠBACK": 28767, + "Running": 28768, + "Ġdebugging": 28769, + "Ġgraphs": 28770, + "399": 28771, + "ĠNigel": 28772, + "Ġbun": 28773, + "Ġpillow": 28774, + "Ġprogressed": 28775, + "fashioned": 28776, + "Ġobedience": 28777, + "ERN": 28778, + "Ġrehears": 28779, + "Cell": 28780, + "tl": 28781, + "Sher": 28782, + "Ġherald": 28783, + "ĠPayment": 28784, + "ĠCory": 28785, + "ĠDept": 28786, + "Ġrepent": 28787, + "ĠWeak": 28788, + "uckland": 28789, + "Ġpleasing": 28790, + "Ġshortages": 28791, + "Ġjurors": 28792, + "ĠKab": 28793, + "qqa": 28794, + "Anti": 28795, + "Ġwow": 28796, + "ĠRCMP": 28797, + "Ġtsun": 28798, + "ĠSic": 28799, + "Ġcomprises": 28800, + "Ġspies": 28801, + "Ġprecinct": 28802, + "nu": 28803, + "Ġurges": 28804, + "Ġtimed": 28805, + "Ġstripes": 28806, + "ĠBoots": 28807, + "Ġyen": 28808, + "Advanced": 28809, + "Ġdiscrete": 28810, + "ĠArchangel": 28811, + "employment": 28812, + "Diff": 28813, + "Ġmonuments": 28814, + "Ġ209": 28815, + "worker": 28816, + "Ġ196": 28817, + "ĠIg": 28818, + "utterstock": 28819, + "TPS": 28820, + "Jac": 28821, + "Ġhomelessness": 28822, + "Ġcommentator": 28823, + "Ġracially": 28824, + "fing": 28825, + "seed": 28826, + "Ele": 28827, + "ellation": 28828, + "Ġethanol": 28829, + "Ġparish": 28830, 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28934, + "ĠVolunte": 28935, + "nton": 28936, + "Cook": 28937, + "åIJ": 28938, + "esque": 28939, + "Ġplummet": 28940, + "Ġsuing": 28941, + "Ġpronounce": 28942, + "Ġresisting": 28943, + "ĠFishing": 28944, + "ĠTrials": 28945, + "Ġyell": 28946, + "Ġ310": 28947, + "Ġinduct": 28948, + "Ġpersonalized": 28949, + "often": 28950, + "Reb": 28951, + "EMBER": 28952, + "Ġviewpoint": 28953, + "Ġexistential": 28954, + "())": 28955, + "remove": 28956, + "MENTS": 28957, + "lasses": 28958, + "Ġevapor": 28959, + "Ġaisle": 28960, + "meta": 28961, + "Ġreflective": 28962, + "Ġentitlement": 28963, + "Ġdevised": 28964, + "music": 28965, + "ascade": 28966, + "Ġwinding": 28967, + "offset": 28968, + "Ġaccessibility": 28969, + "kered": 28970, + "Better": 28971, + "ĠJohnston": 28972, + "thinking": 28973, + "Snow": 28974, + "ĠCroatia": 28975, + "ĠAtomic": 28976, + "271": 28977, + "348": 28978, + "Ġtextbook": 28979, + "ĠSixth": 28980, + "ĠاÙĦ": 28981, + "Ġslider": 28982, + "ĠBurger": 28983, + "bol": 28984, + "Sync": 28985, + "Ġgrandchildren": 28986, + "Ġcerv": 28987, + "+)": 28988, + "Ġeternity": 28989, + "Ġtweeting": 28990, + "Ġspeculative": 28991, + "Ġpivotal": 28992, + "ĠWP": 28993, + "ĠTER": 28994, + "ynamic": 28995, + "Ġupl": 28996, + "ĠCats": 28997, + "perhaps": 28998, + "Ġclassmates": 28999, + "Ġblatant": 29000, + "'-": 29001, + "Ġlakh": 29002, + "antine": 29003, + "ĠBorg": 29004, + "iom": 29005, + "/(": 29006, + "ĠAthletic": 29007, + "Ġsar": 29008, + "OTA": 29009, + "ĠHoffman": 29010, + "Nevertheless": 29011, + "Ġadorable": 29012, + "Ġspawned": 29013, + "Associated": 29014, + "ĠDomestic": 29015, + "Ġimplant": 29016, + "ĠLuxem": 29017, + "ĠKens": 29018, + "Ġpumps": 29019, + "ĠSAT": 29020, + "Attributes": 29021, + "509": 29022, + "avour": 29023, + "Ġcentralized": 29024, + "ĠTN": 29025, + "Ġfreshly": 29026, + "ĠAchieve": 29027, + "Ġoutsiders": 29028, + "herty": 29029, + "ĠRee": 29030, + "ĠTowers": 29031, + "ĠDart": 29032, + "akable": 29033, + "Ġmp": 29034, + "ĠHeavenly": 29035, + "Ġripe": 29036, + "ĠCaroline": 29037, + "ryan": 29038, + "Ġclassics": 29039, + "Ġretiring": 29040, + "Ġ228": 29041, + "Ġah": 29042, + "Ġdealings": 29043, + "Ġpunching": 29044, + "ĠChapman": 29045, + "Options": 29046, + "maxwell": 29047, + "volume": 29048, + "Ġstal": 29049, + "Ġexported": 29050, + "ĠQuite": 29051, + "Ġnumerical": 29052, + "Burn": 29053, + "Fact": 29054, + "ĠKeystone": 29055, + "Ġtrending": 29056, + "Ġaltering": 29057, + "ĠAfricans": 29058, + "478": 29059, + "ĠMN": 29060, + "ĠKnock": 29061, + "Ġtemptation": 29062, + "Ġprestige": 29063, + "Overview": 29064, + "ĠTraditional": 29065, + "ĠBahrain": 29066, + "Private": 29067, + "ĠHOU": 29068, + "Ġbarr": 29069, + "ĠTat": 29070, + "Cube": 29071, + "USD": 29072, + "ĠGrande": 29073, + "ĠGat": 29074, + "ĠFlo": 29075, + "Ġresides": 29076, + "Ġindec": 29077, + "volent": 29078, + "Ġperpetual": 29079, + "ubes": 29080, + "Ġworldview": 29081, + "ĠQuantum": 29082, + "Ġfiltered": 29083, + "Ġensu": 29084, + "orgetown": 29085, + "ERSON": 29086, + 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31519, + ")!": 31520, + "Ġdetecting": 31521, + "cn": 31522, + "Ġbreaches": 31523, + "Basically": 31524, + "ĠPag": 31525, + "ĠMunicipal": 31526, + "ĠIndie": 31527, + "ĠLaf": 31528, + "ĠDisable": 31529, + "ĠOlson": 31530, + "Ġrestrained": 31531, + "Ġrulings": 31532, + "Ġhumane": 31533, + "events": 31534, + "ĠCinema": 31535, + "displayText": 31536, + "ĠHatch": 31537, + "actionDate": 31538, + "onnaissance": 31539, + "Ġassaulting": 31540, + "ĠLug": 31541, + "CHAT": 31542, + "Ġvigorous": 31543, + "ĠPerse": 31544, + "Ġintolerance": 31545, + "ĠSnapchat": 31546, + "ĠSharks": 31547, + "Ġdummy": 31548, + "ĠDiagn": 31549, + "ĠGuitar": 31550, + "imeters": 31551, + "403": 31552, + "REG": 31553, + "Ax": 31554, + "Ġseparates": 31555, + "ĠMahm": 31556, + "Ġtv": 31557, + "jah": 31558, + "OOL": 31559, + "Circ": 31560, + "ĠWindsor": 31561, + "ussian": 31562, + "Ġintuition": 31563, + "Ġdisdain": 31564, + "ĠDonovan": 31565, + "Ġ221": 31566, + "Emb": 31567, + "Ġcondemning": 31568, + "Ġgenerosity": 31569, + "zzy": 31570, + "Ġpanties": 31571, + "ĠPrevent": 31572, + "ActionCode": 31573, + "ANA": 31574, + "342": 31575, + "externalActionCode": 31576, + "Ġspecifying": 31577, + "Ġcrystall": 31578, + "Jere": 31579, + "Ġrupt": 31580, + "ĠApprentice": 31581, + "Ġprofiling": 31582, + "к": 31583, + "Strike": 31584, + "Ġsideline": 31585, + "Ġobligated": 31586, + "Ġoccult": 31587, + "Ġbureaucratic": 31588, + "antically": 31589, + "rupted": 31590, + "negative": 31591, + "ĠEthiopia": 31592, + "ĠCivic": 31593, + "Ġinsiders": 31594, + "eligible": 31595, + "ĠTVs": 31596, + "ĠBAR": 31597, + "ĠTI": 31598, + "iologist": 31599, + "ĠAIR": 31600, + "Ġsubstituted": 31601, + "Arab": 31602, + "ĠSaul": 31603, + "ĠYog": 31604, + "prem": 31605, + "Ġbuilders": 31606, + "Ġstationary": 31607, + "Ġdoubtful": 31608, + "Ġvigorously": 31609, + "Ġthrilling": 31610, + "Physical": 31611, + "ĠCarey": 31612, + "ĠHydra": 31613, + "geoning": 31614, + "ĠSly": 31615, + "yton": 31616, + "Ġborrowers": 31617, + "ĠParkinson": 31618, + "Ġë": 31619, + "ĠJamaica": 31620, + "Ġsatir": 31621, + "Ġinsurgents": 31622, + "ĠFirm": 31623, + "Ġisot": 31624, + "ĠKarn": 31625, + "ourning": 31626, + "akens": 31627, + "docs": 31628, + "little": 31629, + "ĠMonaco": 31630, + "CLASS": 31631, + "Turkey": 31632, + "Ly": 31633, + "ĠConan": 31634, + "assic": 31635, + "Ġstarred": 31636, + "ĠPacers": 31637, + "eties": 31638, + "Ġtipping": 31639, + "Moon": 31640, + "ĠRw": 31641, + "same": 31642, + "Ġcavity": 31643, + "Ġgoof": 31644, + "ĠZo": 31645, + "Shock": 31646, + "ummer": 31647, + "Ġemphasizes": 31648, + "Ġregrett": 31649, + "Ġnovelty": 31650, + "Ġenvy": 31651, + "ĠPassive": 31652, + "rw": 31653, + "505": 31654, + "Ġindifferent": 31655, + "ĠRica": 31656, + "ĠHimself": 31657, + "ĠFreddie": 31658, + "Ġadip": 31659, + "ä¸Ģ": 31660, + "Ġbreakout": 31661, + "Ġhurried": 31662, + "ĠHuang": 31663, + "ĠDisk": 31664, + "Ġroaming": 31665, + "?????-?????-": 31666, + "UV": 31667, + "ĠRicky": 31668, + "ĠSigma": 31669, + "Ġmarginalized": 31670, + "Ġedits": 31671, + "Ġ304": 31672, + "memory": 31673, + "Ġspecimen": 31674, + "293": 31675, + "ãģ¯": 31676, + "Ġvertically": 31677, + "Ġaudition": 31678, + "ĠHeck": 31679, + "Ġcaster": 31680, + "ĠHoldings": 31681, + "adal": 31682, + "ĠCron": 31683, + "ĠLiam": 31684, + "Ġdeflect": 31685, + "Pick": 31686, + "ĠDebug": 31687, + "REF": 31688, + "Ġversatility": 31689, + "othes": 31690, + "classified": 31691, + "ĠMahar": 31692, + "ĠHort": 31693, + "Counter": 31694, + "stasy": 31695, + "noticed": 31696, + "331": 31697, + "ĠShim": 31698, + "fuck": 31699, + "ĠBie": 31700, + "Ġairing": 31701, + "ĠProtein": 31702, + "ĠHolding": 31703, + "Ġspectators": 31704, + "iliated": 31705, + "ĠThatcher": 31706, + "nosis": 31707, + "ãĥ¼ãĥ³": 31708, + "Tele": 31709, + "Boston": 31710, + "ĠTempl": 31711, + "stay": 31712, + "Ġdeclarations": 31713, + "479": 31714, + "Volume": 31715, + "ĠDesigner": 31716, + "ĠOverwatch": 31717, + "idae": 31718, + "Ġonwards": 31719, + "Ġnets": 31720, + "ĠManila": 31721, + "particularly": 31722, + "Ġpolitic": 31723, + "oother": 31724, + "Ġportraits": 31725, + "Ġpavement": 31726, + "cffff": 31727, + "Ġsaints": 31728, + "Ġbeginners": 31729, + "ESPN": 31730, + "Ġshortcomings": 31731, + "âķIJâķIJ": 31732, + "Ġcomet": 31733, + "ĠOrganic": 31734, + "quel": 31735, + "Ġhospitalized": 31736, + "Break": 31737, + "Ġpeel": 31738, + "dylib": 31739, + "aspx": 31740, + "urances": 31741, + "ĠTIM": 31742, + "Pg": 31743, + "Ġreadable": 31744, + "ĠMalik": 31745, + "Ġmuzzle": 31746, + "Ġbenchmarks": 31747, + "dal": 31748, + "ĠVacc": 31749, + "ĠHicks": 31750, + "609": 31751, + "ĠBiblical": 31752, + "heng": 31753, + "Ġoverload": 31754, + "ĠCivilization": 31755, + "Ġimmoral": 31756, + "Ġfries": 31757, + "ãĤĴ": 31758, + "Ġreproduced": 31759, + "Ġformulation": 31760, + "jug": 31761, + "irez": 31762, + "gear": 31763, + "Ġcoached": 31764, + "MpServer": 31765, + "ĠSJ": 31766, + "ĠKw": 31767, + "Init": 31768, + "deal": 31769, + "ĠOro": 31770, + "ĠLoki": 31771, + "ĠSongs": 31772, + "Ġ232": 31773, + "ĠLouise": 31774, + "asionally": 31775, + "Ġuncond": 31776, + "ollywood": 31777, + "Ġprogressives": 31778, + "ĠEnough": 31779, + "ĠDoe": 31780, + "Ġwreckage": 31781, + "Ġbrushed": 31782, + "ĠBaseType": 31783, + "Ġzoning": 31784, + "ishable": 31785, + "hetically": 31786, + "ĠCaucus": 31787, + "ĠHue": 31788, + "Ġkarma": 31789, + "ĠSporting": 31790, + "Ġtrader": 31791, + "Ġseeming": 31792, + "ĠCapture": 31793, + "430": 31794, + "bish": 31795, + "Ġtunes": 31796, + "Ġindoors": 31797, + "ĠSphere": 31798, + "ĠDancing": 31799, + "TERN": 31800, + "Ġnob": 31801, + "ĠGST": 31802, + "maps": 31803, + "Ġpeppers": 31804, + "Fit": 31805, + "Ġoversees": 31806, + "ĠRabbi": 31807, + "ĠRuler": 31808, + "vertising": 31809, + "office": 31810, + "xxx": 31811, + "Ġraft": 31812, + "Changed": 31813, + "Ġtextbooks": 31814, + "Links": 31815, + "ĠOmn": 31816, + "ãĢij": 31817, + "Ġinconvenience": 31818, + "ĠDonetsk": 31819, + "=~": 31820, + "Ġimplicitly": 31821, + "Ġboosts": 31822, + "ĠBones": 31823, + "ĠBoom": 31824, + "Courtesy": 31825, + "Ġsensational": 31826, + "ANY": 31827, + "Ġgreedy": 31828, + "eden": 31829, + "Ġinexper": 31830, + "ĠLer": 31831, + "ĠVale": 31832, + "Ġtighten": 31833, + "ĠEAR": 31834, + "ĠNum": 31835, + "Ġancestor": 31836, + "Sent": 31837, + "ĠHorde": 31838, + "urgical": 31839, + "allah": 31840, + "Ġsap": 31841, + "amba": 31842, + "ĠSpread": 31843, + "twitch": 31844, + "Ġgrandson": 31845, + "Ġfracture": 31846, + "Ġmoderator": 31847, + "ĠSeventh": 31848, + "ĠReverse": 31849, + "Ġestimation": 31850, + "Choose": 31851, + "Ġparach": 31852, + "Ġbarric": 31853, + "ãĢIJ": 31854, + "Ġcompass": 31855, + "Ġallergic": 31856, + "âĢķ": 31857, + "OTHER": 31858, + "errilla": 31859, + "Ġwagon": 31860, + "Ġzinc": 31861, + "Ġrubbed": 31862, + "ĠFuller": 31863, + "ĠLuxembourg": 31864, + "ĠHoover": 31865, + "Ġliar": 31866, + "ĠEvening": 31867, + "ĠCobb": 31868, + "esteem": 31869, + "Ġselector": 31870, + "ĠBrawl": 31871, + "isance": 31872, + "ĠEk": 31873, + "Ġtroop": 31874, + "Ġguts": 31875, + "ĠAppeal": 31876, + "ĠTibetan": 31877, + "Ġroutines": 31878, + "ĠMent": 31879, + "Ġsummarized": 31880, + "steamapps": 31881, + "Ġtranqu": 31882, + "Ġ1929": 31883, + "oran": 31884, + "ĠAuthent": 31885, + "Ġgmaxwell": 31886, + "Ġapprehens": 31887, + "Ġpoems": 31888, + "Ġsausage": 31889, + "ĠWebster": 31890, + "urus": 31891, + "Ġthemed": 31892, + "Ġlounge": 31893, + "Ġcharger": 31894, + "Spoiler": 31895, + "Ġspilled": 31896, + "hog": 31897, + "ĠSunder": 31898, + "ĠAin": 31899, + "ĠAngry": 31900, + "Ġdisqual": 31901, + "ĠFrequency": 31902, + "ĠEthernet": 31903, + "Ġhelper": 31904, + "Percent": 31905, + "Ġhorrifying": 31906, + "Ġail": 31907, + "ĠAllan": 31908, + "EEE": 31909, + "ĠCrossing": 31910, + "449": 31911, + "Ġholog": 31912, + "ĠPuzzles": 31913, + "ĠGoes": 31914, + "erenn": 31915, + "604": 31916, + "ãģı": 31917, + "ĠRafael": 31918, + "Ġatten": 31919, + "ĠEmanuel": 31920, + "Ġupro": 31921, + "ĠSusp": 31922, + "Psych": 31923, + "ĠTrainer": 31924, + "ĠNES": 31925, + "ĠHunts": 31926, + "becue": 31927, + "Ġcounselor": 31928, + "Rule": 31929, + "Ġtoxins": 31930, + "Ġbanners": 31931, + "rifice": 31932, + "Ġgreeting": 31933, + "Ġfrenzy": 31934, + "Ġallocate": 31935, + "Ġ*)": 31936, + "expr": 31937, + "503": 31938, + "ĠChick": 31939, + "ĠTorn": 31940, + "Ġconsolidation": 31941, + "ĠFletcher": 31942, + "switch": 31943, + "frac": 31944, + "clips": 31945, + "ĠMcKin": 31946, + "ĠLunar": 31947, + "Month": 31948, + "ITCH": 31949, + "Ġscholarly": 31950, + "raped": 31951, + "398": 31952, + "Ġ1910": 31953, + "Ġegreg": 31954, + "Ġinsecure": 31955, + "Ġvictorious": 31956, + "cffffcc": 31957, + "Ġsingled": 31958, + "Ġelves": 31959, + "ĠWond": 31960, + "burst": 31961, + "Ġcamoufl": 31962, + "ĠBLACK": 31963, + "Ġconditioned": 31964, + "çī": 31965, + "answered": 31966, + "Ġcompulsory": 31967, + "ascist": 31968, + "Ġpodcasts": 31969, + "ĠFrankfurt": 31970, + "bnb": 31971, + "Ġneoliberal": 31972, + "ĠKeyboard": 31973, + "ĠBelle": 31974, + "warm": 31975, + "Ġtrusts": 31976, + "Ġinsured": 31977, + "ĠBucc": 31978, + "usable": 31979, + "607": 31980, + "ĠPlains": 31981, + "Ġ1890": 31982, + "Ġsabotage": 31983, + "Ġlodged": 31984, + "felt": 31985, + "Ġga": 31986, + "ĠNarc": 31987, + "ĠSalem": 31988, + "Ġseventy": 31989, + "ĠBlank": 31990, + "pocket": 31991, + "Ġwhisper": 31992, + "Ġmating": 31993, + "omics": 31994, + "ĠSalman": 31995, + "ĠKad": 31996, + "Ġangered": 31997, + "Ġcollisions": 31998, + "Ġextraordinarily": 31999, + "Ġcoercion": 32000, + "Ghost": 32001, + "birds": 32002, + "èĢ": 32003, + "kok": 32004, + "Ġpermissible": 32005, + "avorable": 32006, + "Ġpointers": 32007, + "Ġdissip": 32008, + "aci": 32009, + "Ġtheatrical": 32010, + "ĠCosmic": 32011, + "Ġforgetting": 32012, + "Ġfinalized": 32013, + "大": 32014, + "yout": 32015, + "library": 32016, + "Ġbooming": 32017, + "ĠBelieve": 32018, + "ĠTeacher": 32019, + "ĠLiv": 32020, + "ĠGOODMAN": 32021, + "ĠDominican": 32022, + "ORED": 32023, + "ĠParties": 32024, + "Ġprecipitation": 32025, + "ĠSlot": 32026, + "Roy": 32027, + "ĠCombined": 32028, + "Ġintegrating": 32029, + "Ġchrome": 32030, + "Ġintestinal": 32031, + "ĠRebell": 32032, + "Ġmatchups": 32033, + "Ġblockbuster": 32034, + "ĠLoren": 32035, + "ĠLevy": 32036, + "Ġpreaching": 32037, + "ĠSending": 32038, + "ĠPurpose": 32039, + "rax": 32040, + "fif": 32041, + "Ġauthoritative": 32042, + "ĠPET": 32043, + "astical": 32044, + "Ġdishon": 32045, + "Ġchatting": 32046, + "Ġ\"$:/": 32047, + "Connection": 32048, + "Ġrecreate": 32049, + "Ġdelinqu": 32050, + "Ġbroth": 32051, + "ĠDirty": 32052, + "ĠAdmin": 32053, + "zman": 32054, + "Ġscholarships": 32055, + "Ġ253": 32056, + "contact": 32057, + "alsa": 32058, + "767": 32059, + "creen": 32060, + "abbage": 32061, + "Ġ1915": 32062, + "Ġblended": 32063, + "Ġalarmed": 32064, + "Language": 32065, + "356": 32066, + "Ġblends": 32067, + "ĠChanged": 32068, + "Wolf": 32069, + "Ġhepat": 32070, + "Creating": 32071, + "Ġpersecut": 32072, + "Ġsweetness": 32073, + "arte": 32074, + "Ġforfeiture": 32075, + "ĠRoberto": 32076, + "impro": 32077, + "NFL": 32078, + "ĠMagnet": 32079, + "Detailed": 32080, + "Ġinsignificant": 32081, + "ĠPOLIT": 32082, + "ĠBBQ": 32083, + "ĠCPS": 32084, + "Ġseaw": 32085, + "aminer": 32086, + "mL": 32087, + "endif": 32088, + "finals": 32089, + "Ġ265": 32090, + "uish": 32091, + "Ġ})": 32092, + "ĠProblems": 32093, + "Ġemblem": 32094, + "Ġseriousness": 32095, + "Ġparsing": 32096, + "Ġsubstitution": 32097, + "Ġpressured": 32098, + "Ġrecycled": 32099, + "aleb": 32100, + "Ruby": 32101, + "Ġproficiency": 32102, + "Driver": 32103, + "ĠWester": 32104, + ":'": 32105, + "AFTA": 32106, + "Ġmantle": 32107, + "ĠClayton": 32108, + "flag": 32109, + "Ġpractitioner": 32110, + "covered": 32111, + "ĠStruct": 32112, + "addafi": 32113, + "425": 32114, + "ĠTownship": 32115, + "ĠHydro": 32116, + "Louis": 32117, + "343": 32118, + "Ġcondo": 32119, + "ĠTao": 32120, + "Ġutilization": 32121, + "Ġnausea": 32122, + "ĠDems": 32123, + "ridges": 32124, + "pause": 32125, + "Ġformulas": 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"Ġcontaminants": 46983, + "ĠDOE": 46984, + "ffen": 46985, + "ĠTechnician": 46986, + "Ry": 46987, + "Ġrobbers": 46988, + "Ġhotline": 46989, + "ĠGuardiola": 46990, + "ĠKaufman": 46991, + "rower": 46992, + "ĠDresden": 46993, + "ĠAlpine": 46994, + "Elf": 46995, + "Ġfmt": 46996, + "ĠSard": 46997, + "urses": 46998, + "gpu": 46999, + "Unix": 47000, + "Ġunequivocally": 47001, + "ĠCitizenship": 47002, + "quad": 47003, + "mire": 47004, + "ĠSweeney": 47005, + "Battery": 47006, + "615": 47007, + "Ġpancakes": 47008, + "Ġoats": 47009, + "Maps": 47010, + "ĠContrast": 47011, + "mbudsman": 47012, + "ĠEPS": 47013, + "Ġsubcommittee": 47014, + "Ġsourcing": 47015, + "Ġsizing": 47016, + "ĠBuffer": 47017, + "ĠMandatory": 47018, + "Ġmoderates": 47019, + "ĠPatterns": 47020, + "ĠChocobo": 47021, + "ĠZan": 47022, + "ĠSTATES": 47023, + "ĠJudging": 47024, + "ĠInher": 47025, + "*:": 47026, + "Ġbil": 47027, + "ĠYen": 47028, + "Ġexhilar": 47029, + "ollower": 47030, + "zers": 47031, + "Ġsnug": 47032, + "maximum": 47033, + "Ġdespicable": 47034, + "ĠPACK": 47035, + "ĠAnnex": 47036, + "Ġsarcastic": 47037, + "Ġlatex": 47038, + "Ġtamp": 47039, + "ĠSao": 47040, + "bah": 47041, + "ĠReverend": 47042, + "ĠChinatown": 47043, + "ĠAUT": 47044, + "documented": 47045, + "ĠGABA": 47046, + "ĠCanaan": 47047, + "ĠÙħ": 47048, + "Ġgoverns": 47049, + "prev": 47050, + "Esc": 47051, + "ĠEstimates": 47052, + "OSP": 47053, + "Ġendeavour": 47054, + "ĠClosing": 47055, + "ometime": 47056, + "everyone": 47057, + "Ġworsen": 47058, + "Ġscanners": 47059, + "Ġdeviations": 47060, + "ĠRobotics": 47061, + "ĠCompton": 47062, + "Ġsorcerer": 47063, + "Ġendogenous": 47064, + "Ġemulation": 47065, + "ĠPiercing": 47066, + "ĠAph": 47067, + "ĠSocket": 47068, + "Ġbould": 47069, + "ĠOU": 47070, + "ĠBorderlands": 47071, + "Ġ1863": 47072, + "Gordon": 47073, + "ĠWTO": 47074, + "Ġrestricts": 47075, + "Ġmosaic": 47076, + "Ġmelodies": 47077, + "çĦ": 47078, + "Tar": 47079, + "Ġdisson": 47080, + "ĠProvides": 47081, + "Ġ......": 47082, + "bek": 47083, + "FIX": 47084, + "Ġbroom": 47085, + "anship": 47086, + "Doctors": 47087, + "Ġnerds": 47088, + "ĠRegions": 47089, + "naissance": 47090, + "Ġmete": 47091, + "Ġcrept": 47092, + "plings": 47093, + "Ġgirlfriends": 47094, + "knit": 47095, + "igent": 47096, + "owe": 47097, + "Ġushered": 47098, + "ĠBaz": 47099, + "Mobil": 47100, + "434": 47101, + "ĠPresents": 47102, + "origin": 47103, + "Ġinsomnia": 47104, + "ĠAux": 47105, + "439": 47106, + "ĠChili": 47107, + "irsch": 47108, + "GAME": 47109, + "Ġgestation": 47110, + "algia": 47111, + "romising": 47112, + "$,": 47113, + "crow": 47114, + "ĠInspection": 47115, + "atomic": 47116, + "Relations": 47117, + "JOHN": 47118, + "roman": 47119, + "ĠClockwork": 47120, + "ĠBakr": 47121, + "mone": 47122, + "MET": 47123, + "Ġthirsty": 47124, + "Ġbc": 47125, + "Ġfaculties": 47126, + "Rum": 47127, + "Ġnuance": 47128, + "ĠDarius": 47129, + "pleting": 47130, + "fters": 47131, + "etchup": 47132, + "Registration": 47133, + "ĠKE": 47134, + "Rah": 47135, + "Ġpreferential": 47136, + "ĠLash": 47137, + "ĠHH": 47138, + "Valid": 47139, + "ĠNAV": 47140, + "Ġstarve": 47141, + "ĠGong": 47142, + "zynski": 47143, + "ĠActress": 47144, + "Ġwik": 47145, + "Ġunaccompanied": 47146, + "lvl": 47147, + "Bride": 47148, + "ADS": 47149, + "ĠCommando": 47150, + "ĠVaughn": 47151, + "Wallet": 47152, + "Ġhopping": 47153, + "ĠVie": 47154, + "Ġcaveats": 47155, + "Ġalas": 47156, + "ifled": 47157, + "abuse": 47158, + "661": 47159, + "Ġibn": 47160, + "Ġgul": 47161, + "Ġrobbing": 47162, + "til": 47163, + "ILA": 47164, + "Ġmitigating": 47165, + "Ġaptly": 47166, + "Ġtyrant": 47167, + "Ġmidday": 47168, + "ĠGilmore": 47169, + "ĠDecker": 47170, + "Ġ§§": 47171, + "partial": 47172, + "Exactly": 47173, + "Ġphenotype": 47174, + "Ġ[+]": 47175, + "ĠPlex": 47176, + "ĠIps": 47177, + "versions": 47178, + "Ġebook": 47179, + "Ġchic": 47180, + "gross": 47181, + "\":\"\"},{\"": 47182, + "ĠSurprisingly": 47183, + "Morgan": 47184, + "Ġresidues": 47185, + "ĠConfederation": 47186, + "infeld": 47187, + "Ġlyr": 47188, + "moderate": 47189, + "Ġperpendicular": 47190, + "VK": 47191, + "Ġsynchronized": 47192, + "Ġrefreshed": 47193, + "Ġadore": 47194, + "ĠTorment": 47195, + "olina": 47196, + "Ġ2600": 47197, + "ItemTracker": 47198, + "Ġpies": 47199, + "ĠFAT": 47200, + "ĠRHP": 47201, + "048": 47202, + "ĠRESP": 47203, + "ĠBJ": 47204, + "allows": 47205, + "Pand": 47206, + "Ġunwelcome": 47207, + "ĠVoc": 47208, + "ĠBastard": 47209, + "ĠOW": 47210, + "ĠLAR": 47211, + "ĠHealer": 47212, + "Environmental": 47213, + "ĠKenyan": 47214, + "ĠTrance": 47215, + "ĠPats": 47216, + "Ġaliases": 47217, + "ĠGarfield": 47218, + "Ġcampaigner": 47219, + "Ġadvancements": 47220, + "ĠOkinawa": 47221, + "ĠCoh": 47222, + "owsky": 47223, + "Ġstarved": 47224, + "Ġsizeable": 47225, + "Ġ:-)": 47226, + "ĠmRNA": 47227, + "Ġsuspensions": 47228, + "istar": 47229, + "Scotland": 47230, + "Prin": 47231, + "------------------------------------------------": 47232, + "Ġ502": 47233, + "Ġteaspoons": 47234, + "Ġ1050": 47235, + "Ġcoercive": 47236, + "ĠMasonic": 47237, + "edded": 47238, + "ĠPassenger": 47239, + "Ġlatt": 47240, + "Ġbraces": 47241, + "ĠSteal": 47242, + "ĠNYT": 47243, + "ĠKats": 47244, + "ĠCelest": 47245, + "aez": 47246, + "Tu": 47247, + "ĠCoulter": 47248, + "ðŁĺ": 47249, + "Flickr": 47250, + "ĠWilmington": 47251, + "iths": 47252, + "++;": 47253, + "Ġvending": 47254, + "Ġnegro": 47255, + "ĠPhi": 47256, + "ĠYellowstone": 47257, + "Callback": 47258, + "Ġshampoo": 47259, + "ĠShades": 47260, + "wat": 47261, + "Ġsuperhuman": 47262, + "Ġridiculed": 47263, + "Ġholiest": 47264, + "ombo": 47265, + "Ġinterns": 47266, + "Ġhone": 47267, + "ĠParagu": 47268, + "URI": 47269, + "Ġdangling": 47270, + "ãĤ»": 47271, + "sov": 47272, + "ictional": 47273, + "availability": 47274, + "Ġrevocation": 47275, + "Ġdow": 47276, + "inic": 47277, + "ĠTHEIR": 47278, + "Ġiso": 47279, + "Ġoutings": 47280, + "ĠLethal": 47281, + "Ġ)))": 47282, + "Ġinaccur": 47283, + "Ġoutlandish": 47284, + "Ġanus": 47285, + "letico": 47286, + "idon": 47287, + "lol": 47288, + "Ġunregulated": 47289, + "Ġsuccumbed": 47290, + "Ġcuff": 47291, + "ĠWasteland": 47292, + "letal": 47293, + "Ġsubstr": 47294, + "Ġcoffers": 47295, + "Ġautomakers": 47296, + "ovi": 47297, + "ĠXue": 47298, + "ĠDaytona": 47299, + "Ġjarring": 47300, + "Ġfumes": 47301, + "Ġdisbanded": 47302, + "zik": 47303, + "itton": 47304, + "Ġstrikingly": 47305, + "Ġspores": 47306, + "Adapter": 47307, + ".):": 47308, + "ĠLyndon": 47309, + "ivalry": 47310, + "Ġorally": 47311, + "Ġtumultuous": 47312, + "Ġdispleasure": 47313, + "Ġcones": 47314, + "orrect": 47315, + "Ġappease": 47316, + "Ġderby": 47317, + "ĠTripoli": 47318, + "ĠAless": 47319, + "Ġpoked": 47320, + "ĠGuilty": 47321, + "vP": 47322, + "Enough": 47323, + "Ġoriginals": 47324, + "699": 47325, + "Ġrabbi": 47326, + "Ġproverbial": 47327, + "Ġpostpone": 47328, + "elope": 47329, + "ĠMisty": 47330, + "Ġstaffed": 47331, + "ĠUnemployment": 47332, + "reditary": 47333, + "Ġdiligent": 47334, + "recomm": 47335, + "measures": 47336, + "asin": 47337, + "825": 47338, + "Ġponds": 47339, + "Ġmmol": 47340, + "ĠSAR": 47341, + "ĠCARE": 47342, + "Ġ371": 47343, + "Ġclenched": 47344, + "ĠCorsair": 47345, + "Ġcaricature": 47346, + "zn": 47347, + "attach": 47348, + "ĠSchro": 47349, + "speak": 47350, + "painted": 47351, + "ĠSuc": 47352, + "ĠENT": 47353, + "Ġcellul": 47354, + "ĠPaid": 47355, + "diagn": 47356, + "WHERE": 47357, + "Ġtexted": 47358, + "Barn": 47359, + "Ġretracted": 47360, + "ĠReferred": 47361, + "Sav": 47362, + "Ġupkeep": 47363, + "Ġworkplaces": 47364, + "ĠTokens": 47365, + "Ġamplify": 47366, + "clinical": 47367, + "Ġmultic": 47368, + "mberg": 47369, + "Ġconvoluted": 47370, + "Region": 47371, + "565": 47372, + "ĠTopic": 47373, + "Ġsnail": 47374, + "Ġsaline": 47375, + "Ġinsurrection": 47376, + "ĠPetr": 47377, + "forts": 47378, + "BAT": 47379, + "ĠNavajo": 47380, + "Ġrudimentary": 47381, + "ĠLaksh": 47382, + "ONDON": 47383, + "Measure": 47384, + "Ġtransformer": 47385, + "ĠGoddard": 47386, + "Ġcoincides": 47387, + "irin": 47388, + "Rex": 47389, + "ĠBok": 47390, + "quit": 47391, + "Ġshotguns": 47392, + "Ġproletarian": 47393, + "Ġscorp": 47394, + "ĠAda": 47395, + "514": 47396, + "Ġslander": 47397, + "recorded": 47398, + "Ġembell": 47399, + "risome": 47400, + "Ġapologizing": 47401, + "ĠMulcair": 47402, + "ĠGibraltar": 47403, + "Cla": 47404, + "Ġallot": 47405, + "ĠAttention": 47406, + "Ġ433": 47407, + "leave": 47408, + "Ġwhine": 47409, + "ĠIssa": 47410, + "ĠFaust": 47411, + "ĠBarron": 47412, + "heny": 47413, + "Ġvictimized": 47414, + "Jews": 47415, + "Ġnurturing": 47416, + "ettel": 47417, + "Winged": 47418, + "ĠSubtle": 47419, + "Ġflavorful": 47420, + "ĠReps": 47421, + "enged": 47422, + "callback": 47423, + "Ġdirectional": 47424, + "Ġclasp": 47425, + "ĠDirections": 47426, + "planet": 47427, + "iculture": 47428, + "Helper": 47429, + "icion": 47430, + "acia": 47431, + "Ġç¥ŀ": 47432, + "Ġsurges": 47433, + "Ġcanoe": 47434, + "ĠPremiership": 47435, + "been": 47436, + "Ġdefied": 47437, + "ĠTrooper": 47438, + "Ġtripod": 47439, + "Ġgasp": 47440, + "ĠEuph": 47441, + "ĠAds": 47442, + "vernight": 47443, + "highly": 47444, + "Role": 47445, + "Ġentangled": 47446, + "ĠZeit": 47447, + "618": 47448, + "ĠRusty": 47449, + "Ġhavens": 47450, + "ĠVaughan": 47451, + "HAEL": 47452, + "ĠSERVICE": 47453, + "/,": 47454, + "Ġstricken": 47455, + "Ġdelusions": 47456, + "Ġbis": 47457, + "ĠHaf": 47458, + "Ġgratification": 47459, + "Ġenticing": 47460, + "UNCH": 47461, + "Adams": 47462, + "ĠOLED": 47463, + "ĠBeetle": 47464, + "Ġ1899": 47465, + "ĠSOFTWARE": 47466, + "ategor": 47467, + "VL": 47468, + "ĠTotem": 47469, + "ĠGators": 47470, + "ATURES": 47471, + "Ġimpedance": 47472, + "Registered": 47473, + "ĠCary": 47474, + "ĠAerial": 47475, + "onne": 47476, + "enium": 47477, + "Ġdred": 47478, + "ĠBeg": 47479, + "Ġconcurrently": 47480, + "Ġsuperpower": 47481, + "ĠXan": 47482, + "jew": 47483, + "imester": 47484, + "ĠDickinson": 47485, + "âĶģ": 47486, + "Fla": 47487, + "Ġpree": 47488, + "ĠRollins": 47489, + "©¶æ": 47490, + "Ġdenomination": 47491, + "ĠLana": 47492, + "516": 47493, + "Ġinciting": 47494, + "scribed": 47495, + "juries": 47496, + "ĠWonders": 47497, + "approximately": 47498, + "Ġsuspending": 47499, + "Ġmountainous": 47500, + "ĠLaugh": 47501, + "oidal": 47502, + "Ns": 47503, + "Detect": 47504, + ")=": 47505, + "ĠLuthor": 47506, + "ĠSchwarzenegger": 47507, + "ĠMuller": 47508, + "ĠDevi": 47509, + "ecycle": 47510, + "Jar": 47511, + "613": 47512, + "ĠLongh": 47513, + "Bah": 47514, + "ĠSPORTS": 47515, + "nw": 47516, + "Ġrefinement": 47517, + "Ġwaterways": 47518, + "Ġdiner": 47519, + "Blade": 47520, + "683": 47521, + "Fac": 47522, + "Ġinitials": 47523, + "Ġrog": 47524, + "Ġparanormal": 47525, + "BUT": 47526, + "Ġ[(": 47527, + "ĠSwanson": 47528, + "ĠMesh": 47529, + "âĸ¬": 47530, + "Improve": 47531, + "ĠRadiation": 47532, + "ĠEsther": 47533, + "ĠEsk": 47534, + "ĠAly": 47535, + "iky": 47536, + "Ġirrad": 47537, + "ĠBuckingham": 47538, + "Ġrefill": 47539, + "Ġ._": 47540, + "Repe": 47541, + "CONCLUS": 47542, + "Ġdifferentiated": 47543, + "Ġchirop": 47544, + "ĠAtkins": 47545, + "Pattern": 47546, + "Ġexcise": 47547, + "Ġcabal": 47548, + "NSA": 47549, + "ĠSTA": 47550, + "ĠSIL": 47551, + "ĠParaly": 47552, + "Ġrye": 47553, + "ĠHowell": 47554, + "ĠCountdown": 47555, + "nesses": 47556, + "alysed": 47557, + "Ġresize": 47558, + "ãĤ½": 47559, + "Ġbudgetary": 47560, + "ĠStras": 47561, + "wang": 47562, + "Ġapiece": 47563, + "Ġprecincts": 47564, + "Ġpeach": 47565, + "Ġskyline": 47566, + "Ġ353": 47567, + "popular": 47568, + "Appearances": 47569, + "ĠMechanics": 47570, + "ĠDevOnline": 47571, + "Sullivan": 47572, + "Zen": 47573, + "Ġpu": 47574, + "opolis": 47575, + "544": 47576, + "Ġdeform": 47577, + "Ġcounteract": 47578, + "ĠLange": 47579, + "Ġ417": 47580, + "Console": 47581, + "774": 47582, + "Ġnodding": 47583, + "Ġpopulism": 47584, + "Ġhep": 47585, + "Ġcounselling": 47586, + "compliance": 47587, + "UFF": 47588, + "Ġundeniably": 47589, + "Ġrailing": 47590, + "ĠHorowitz": 47591, + "ĠSimone": 47592, + "ĠBungie": 47593, + "Ġak": 47594, + "ĠTalks": 47595, + "xff": 47596, + "flake": 47597, + "Crash": 47598, + "Ġsweaty": 47599, + "Ġbanquet": 47600, + "ĠOFFIC": 47601, + "Ġinventive": 47602, + "Ġastronomer": 47603, + "ĠStamford": 47604, + "ĠScare": 47605, + "ĠGREEN": 47606, + "olicited": 47607, + "Ġrusher": 47608, + "Ġcentrist": 47609, + "ighting": 47610, + "Ġsubclass": 47611, + "Ġdisav": 47612, + "Ġdefund": 47613, + "ĠNanto": 47614, + "ociate": 47615, + "mast": 47616, + "Ġpacif": 47617, + "Ġmend": 47618, + "eers": 47619, + "immigration": 47620, + "ESSION": 47621, + "Ġnumbering": 47622, + "Ġlaughable": 47623, + "ĠEnded": 47624, + "viation": 47625, + "emark": 47626, + "Pitt": 47627, + "Ġmeticulous": 47628, + "ĠLF": 47629, + "Ġcongratulated": 47630, + "ĠBirch": 47631, + "Ġswayed": 47632, + "Ġsemifinals": 47633, + "Ġhumankind": 47634, + "matter": 47635, + "ĠEquip": 47636, + "opausal": 47637, + "Said": 47638, + "ĠLayout": 47639, + "Ġvoicing": 47640, + 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"Ġret urn", + "v ious", + "b s", + "Ġcall ed", + "Ġm ove", + "ĠS c", + "ir d", + "Ġgrou p", + "Ġb re", + "Ġm en", + "Ġc ap", + "t en", + "e e", + "Ġd ri", + "le g", + "he re", + "uth or", + "Ġp at", + "Ġcur rent", + "id es", + "Ġp op", + "t o", + "ent ion", + "Ġal ways", + "Ġm il", + "Ġwom en", + "Ġ1 6", + "Ġo ld", + "iv en", + "ra ph", + "ĠO r", + "r or", + "ent ly", + "Ġn ear", + "ĠE x", + "re am", + "s h", + "Ġ1 4", + "Ġf ree", + "iss ion", + "st and", + "ĠC on", + "al ity", + "us ed", + "1 3", + "Ġdes ign", + "Ġch ange", + "Ġch ang", + "Ġb o", + "Ġv is", + "em ber", + "Ġb ook", + "read y", + "Ġk ill", + "2 5", + "pp ed", + "Ġa way", + "Ġab le", + "Ġcount ry", + "Ġcon st", + "ar n", + "Ġor der", + "A R", + "i or", + "i um", + "or th", + "1 8", + "ail able", + "Ġs w", + "Ġm illion", + "Ġ1 3", + "at ic", + "t ed", + "ĠG o", + "Ġo per", + "en g", + "Ġth ing", + "aj or", + "con om", + "ĠCom m", + "Ġwh y", + "u red", + "ur al", + "Ġs chool", + "b y", + "ĠM ar", + "Ġa ff", + "Ġd ays", + "Ġan n", + "us h", + "an e", + "I f", + "e g", + "Ġpro f", + "Ġhe alth", + "ou th", + "B ut", + "ion al", + ". ,", + "Ġs ol", + "Ġal ready", + "Ġ3 0", + "Ġchar act", + "H e", + "Ġf riend", + "E S", + "i ans", + "ic le", + "' d", + "ĠO n", + "Ġle ast", + "Ġp rom", + "Ġd r", + "Ġh ist", + "it her", + "Ġ est", + "i qu", + "1 7", + "s on", + "Ġte ll", + "Ġt alk", + "oh n", + "o int", + "le ction", + "A N", + "Ġunt il", + "au gh", + "Ġl ater", + "Ġ ve", + "Ġv iew", + "end ing", + "iv ed", + "Ġwor d", + "w are", + "Ġc ost", + "Ġen ough", + "Ġg ive", + "ĠUn ited", + "Ġte chn", + "are nt", + "O R", + "Ġp ar", + "ĠD r", + "Ġ201 6", + "r ist", + "er ing", + "Ġ Â", + "Ġl arge", + "s ide", + "ac y", + "cc ess", + "Ġw in", + "Ġimport ant", + "Ġ19 9", + "Ġdoes n", + "Ġ1 7", + "Ġbus iness", + "Ġcle ar", + "Ġre se", + "\" ,", + "ur y", + "Ġe qu", + "as ter", + "al f", + "ĠAmeric an", + "n ect", + "Ġex pect", + "ivers ity", + "Ġo cc", + "ĠF l", + "Ġk ind", + "Ġme an", + "Ġp ast", + "Ġde v", + "Ġb as", + "le t", + "ra ft", + "Ġor gan", + "Ġde l", + "Ġper form", + "Ġst ory", + "Ġse ason", + "ĠC ol", + "Ġcl aim", + "Ġc ame", + "Ġwith in", + "Ġl ine", + "Ġpro ject", + "ĠA t", + "Ġcontro l", + "end ed", + "ĠS y", + "Ġa ir", + "iz ation", + "Ġ *", + "le y", + "Ġm oney", + "id d", + "Y ou", + "f or", + "Ġfam ily", + "Ġm aking", + "Ġb it", + "Ġpol ice", + "Ġhapp en", + "Ġ vers", + "on y", + "u ff", + "ĠW hen", + "Ġs it", + "ide o", + "l f", + "is on", + "Ġsu re", + "g in", + "Ġapp ear", + "Ġl ight", + "Ġ es", + "o f", + "Ġw ater", + "Ġt imes", + "n ot", + "Ġg row", + "Ġcomp any", + "ĠT e", + "ow s", + "Ġm ar", + "our ce", + "i ol", + "ar m", + "b r", + "Ġex ample", + "Ġcon c", + "Ġf ore", + "ĠT o", + "p ro", + "E N", + "ri es", + "Ġ2 5", + "ĠC an", + "ne y", + "Ġact ually", + "Ġe ver", + "ur ity", + "ak en", + "ap s", + "Ġt ax", + "Ġm ajor", + "am a", + "Ġof ten", + "er al", + "Ġhum an", + "Ġj ob", + "is ter", + "Ġav ailable", + "oc r", + "en n", + "a id", + "iv id", + "Ġrec ord", + "? \"", + "Ġs ing", + "ĠA m", + "id ence", + "Ġnew s", + "st er", + "Ġe conom", + "Ġfollow ing", + "ĠB r", + "is ing", + "Ġh our", + "m ost", + "um ent", + "Ġse x", + "Ġdes c", + "Ġbec ome", + "ĠE d", + "Ġto ok", + "Ġha ving", + "Ġprodu ct", + "a ult", + "A s", + "ar ing", + "Ġme ans", + "Ġh op", + "un e", + "Ġch o", + "Ġc ertain", + "Ġn on", + "Ġde al", + "2 4", + "le ment", + "oc i", + "en e", + "Ġs ide", + "ĠP r", + "ĠM ay", + "Ġre ason", + "u ed", + "c hed", + "ul ation", + "Ġe lect", + "Ġoffic ial", + "Ġposs ible", + "Ġh old", + "and s", + "ot s", + "Ġc ity", + "or ies", + "Ġse ver", + "Ġchild ren", + "Ġon ce", + "Ġact iv", + "l er", + "Ġn ight", + "it ions", + "ĠJ ohn", + "a pe", + "pl ay", + "Ġd one", + "Ġl im", + "Ġwork ing", + "ĠP res", + "or ld", + "e b", + "ĠC o", + "Ġb ody", + "ail s", + "ut es", + "ĠM r", + "Ġwhe ther", + "Ġa uthor", + "ro p", + "Ġpro per", + "Ġse en", + ") ;", + "Ġf ac", + "ĠS u", + "Ġcon d", + "it ing", + "Ġcour se", + "Ġ }", + "-------- --------", + "a ign", + "Ġev ent", + "Ġen g", + "Ġp ot", + "Ġin tern", + "i am", + "Ġsh ort", + "em pt", + "ã Ĥ", + "ĠG od", + "il ar", + "8 0", + "Ġor ig", + "I S", + "our n", + "ab ility", + "it ive", + "Ġd am", + "Ġ1 00", + "Ġp ress", + "Ġdo ing", + "Ġprot ect", + "r ing", + "Ġthough t", + "Ġquest ion", + "re w", + "ĠW ar", + "Ġsever al", + "ĠSt ate", + "Ġg iven", + "Ġf und", + "ĠT w", + "Ġw ent", + "an ces", + "w ork", + "p or", + "m y", + "4 0", + "Ġar g", + "art ment", + "ust om", + "Ġpol ic", + "Ġme et", + "Ġc reat", + "2 2", + "ĠSt ates", + "Ġg ames", + "ra w", + "ut ure", + "Ġunder stand", + "ur s", + "ĠO b", + "l ish", + "s y", + "Ġm akes", + "Ġw on", + "ag on", + "Ġh tt", + "Ġl ove", + "ent ial", + "Ġcomple te", + "p ar", + "ĠI m", + "A L", + "Ġacc ount", + " ł", + "ore d", + "ver t", + "Ġ ident", + "Ġ201 5", + "Ġother s", + "ĠM in", + "i ber", + "ver age", + "The re", + "ition al", + "d d", + "Ġpro b", + "Ġyou ng", + "Ġal ong", + "Ġacc ording", + "Ġy et", + "Ġmem bers", + "ĠWh at", + "o id", + "ĠM an", + "A nd", + "Ġam ong", + "a i", + "Ġem ploy", + "ĠR es", + "Ġ >", + "Ġinv ol", + "Ġl ow", + "a f", + "ĠC ar", + "Ġh ig", + "ĠO ne", + "ĠS ec", + "in ation", + "Ġlike ly", + "Ġan t", + "ag ed", + "ĠR uss", + "Ġb en", + "Ġre le", + "F or", + "b ack", + "ĠN ot", + "Ġpres ident", + "b all", + "Ġacc ess", + "ivid ual", + "ĠD em", + "ĠE uro", + "6 0", + "Ġkn own", + "ir l", + "ĠG r", + "Ġear ly", + "u se", + "iet y", + "âĢ ĵ", + "Ġf ight", + "Ġs ent", + "Ġto day", + "Ġmark et", + "\" .", + "Ġb ased", + "Ġstr ong", + "ur ther", + "Ġde b", + "m ber", + "Ġproble m", + "Ġde ath", + "Ġsoc ial", + "im ate", + "A S", + "ort un", + "Ġcamp aign", + "er y", + "C h", + "Ġe y", + "i ally", + "Ġm us", + "w h", + "p os", + "Ġ er", + "Ġsa f", + "Ġmonth s", + "ir on", + "Ġv iol", + "Ġf ive", + "Ġst re", + "Ġplay ers", + "in c", + "al d", + "y ear", + "a un", + "Ġsu ccess", + "Ġpres ent", + "ere nce", + "Ġ201 4", + "Ġsu gg", + "Ġpartic ular", + "Ġtr y", + "Ġsugg est", + "ĠCh rist", + "on es", + "Ġpri v", + "2 3", + "Ġc rit", + "Ġl and", + "Ġloc al", + "if y", + "2 9", + "Ġa ut", + "E D", + "ĠG u", + "Ġm ult", + "Ġpolit ical", + "Ġask ed", + "Ġfor mer", + "it ter", + "ri pt", + "Ġcl ose", + "Ġp ract", + "ĠY ork", + "Ġget ting", + "Ġac ross", + "Ġcom b", + "Ġbelie ve", + "Ġ z", + "Ġto get", + "Ġtoget her", + "ĠC ent", + "ir c", + "Ġind ividual", + "ĠM c", + "2 7", + "is k", + "ĠE ng", + "Ġf ace", + "Ġ2 4", + "Ġval ue", + "Ġare a", + "e v", + "Ġw rit", + "ĠPres ident", + "Ġv ot", + "Ġke y", + "Ġm om", + "p ut", + "Ġany thing", + "Ġexper ience", + "att le", + "Ġm ind", + "a ff", + "om m", + "Ġf uture", + "g ed", + "Ġc ut", + "Ġto t", + "it ch", + "Ġv ideo", + "Ġinvest ig", + "Ġn et", + "ĠM y", + "r ict", + "i en", + ". )", + "Ġimp ro", + "th ough", + "ward s", + "Ġcon nect", + "ĠM ed", + "sel ves", + "ens ive", + "m b", + "o ber", + "at ors", + "A n", + "Ġ5 0", + "Ġre du", + "res ent", + "Ġab ove", + "Ġf re", + "ĠEuro pe", + "s w", + "Ġam ount", + "ĠA pp", + "Ġe ither", + "Ġmil it", + "Ġan al", + "Ġf ail", + "ĠE n", + "al es", + "Ġspec ial", + "Ġbl ack", + "I T", + "c her", + "Ġlook ing", + "Ġf ire", + "y n", + "Ġal most", + "o on", + "Ġstud y", + "Ġm iss", + "c hes", + "ro wn", + "Ġt re", + "Ġcommun ity", + "Ġmed ia", + "Ġf ood", + "Ġcom es", + "ĠUn iversity", + "Ġsing le", + "Wh at", + "u ly", + "Ġh alf", + "ag ue", + "h od", + "ĠRep ublic", + "Ġstart ed", + "Ġqu ick", + "ot o", + "b ook", + "Ġiss ue", + "it or", + "Ġel se", + "Ġcons ider", + "2 6", + "ro du", + "Ġt aken", + "2 8", + "9 9", + "ĠW ith", + "Ġtr ue", + "Ġw a", + "Ġtr ad", + "Ġag o", + "Ġm ess", + "ie f", + "Ġadd ed", + "o ke", + "Ġb ad", + "Ġf av", + "3 3", + "Ġsim ilar", + "as k", + "ĠD on", + "Ġcharact er", + "ort s", + "ĠH ouse", + "Ġreport ed", + "Ġty pe", + "v al", + "i od", + "ĠHow ever", + "Ġt arg", + "Ġent ire", + "pp ing", + "Ġhist ory", + "Ġl ive", + "ff ic", + ".... ....", + "ed eral", + "Ġtr ying", + "Ġdisc uss", + "ĠH ar", + "ac es", + "l ished", + "Ġse lf", + "os p", + "re st", + "Ġro om", + "el t", + "Ġf all", + "ol ution", + "Ġe t", + "Ġ x", + "Ġis n", + "Ġide a", + "b o", + "Ġs ound", + "ĠD ep", + "Ġsome one", + "ci ally", + "ull y", + "Ġf oc", + "Ġob ject", + "if t", + "ap er", + "Ġplay er", + "Ġr ather", + "Ġserv ice", + "as hing", + "ĠD o", + "ĠP art", + "ru g", + "m on", + "p ly", + "Ġm or", + "Ġnot hing", + "Ġprov ide", + "I C", + "un g", + "Ġpart y", + "Ġex ist", + "Ġm ag", + "7 0", + "Ġr ul", + "Ġh ouse", + "Ġbeh ind", + "Ġhow ever", + "ĠW orld", + "Ġs um", + "Ġapp lic", + "Ġ ;", + "Ġfun ction", + "g r", + "ĠP ol", + "Ġfr ont", + "2 00", + "Ġser ies", + "Ġt em", + "Ġty p", + "ill s", + "Ġo pt", + "Ġpoint s", + "Ġbel ow", + "itt ed", + "Ġspec ific", + "Ġ201 7", + "um b", + "Ġr a", + "Ġpre vious", + "Ġpre t", + "re me", + "Ġc ustom", + "Ġcour t", + "ĠM e", + "Ġre pl", + "Ġwho le", + "g o", + "c er", + "Ġt reat", + "ĠA ct", + "Ġprob ably", + "Ġle arn", + "end er", + "ĠA ss", + "Ġvers ion", + "n ow", + "Ġche ck", + "ĠC al", + "R E", + "min ist", + "O n", + "our ces", + "Ġben ef", + "Ġd oc", + "Ġdet er", + "Ġen c", + "Ġsu per", + "Ġadd ress", + "Ġv ict", + "Ġ201 3", + "Ġme as", + "t r", + "Ġf ield", + "W hen", + "Ġsign ific", + "u ge", + "Ġfe at", + "Ġcomm on", + "l oad", + "Ġbe gin", + "Ġbr ing", + "Ġa ction", + "er man", + "Ġdesc rib", + "Ġind ust", + "Ġwant ed", + "ri ed", + "m ing", + "Ġatt empt", + "4 5", + "f er", + "Ġd ue", + "ress ion", + "# #", + "Ġsh all", + "Ġs ix", + "o o", + "Ġst ep", + "Ġp ub", + "Ġhim self", + "Ġ2 3", + "Ġc op", + "Ġd est", + "Ġst op", + "A C", + "ib ility", + "Ġl ab", + "ic ult", + "Ġhour s", + "Ġcre ate", + "Ġf urther", + "ĠAmeric a", + "ĠC ity", + "Ġd ou", + "he ad", + "S T", + "ĠN orth", + "c ing", + "Ġn ational", + "u le", + "ĠIn st", + "Ġt aking", + "ĠQ u", + "ir t", + "Ġre d", + "Ġrese arch", + "v iron", + "ĠG e", + "Ġbre ak", + "an a", + "Ġsp ace", + "ater ial", + "Ġrec ent", + "ĠA b", + "Ġgener al", + "Ġh it", + "Ġper iod", + "Ġevery thing", + "ive ly", + "Ġph ys", + "Ġsay ing", + "an ks", + "Ġc ou", + "Ġc ult", + "ac ed", + "e al", + "u ation", + "Ġc oun", + "l u", + "Ġinclud e", + "Ġpos ition", + "ĠA fter", + "ĠCan ad", + "ĠE m", + "Ġim m", + "ĠR ed", + "Ġp ick", + "Ġcom pl", + "Ġm atter", + "re g", + "e xt", + "ang u", + "is c", + "o le", + "a ut", + "Ġcomp et", + "e ed", + "f ect", + "Ġ2 1", + "ĠS en", + "ĠThe se", + "as ing", + "Ġcan not", + "Ġin it", + "Ġrel ations", + "ac hed", + "Ġb ar", + "Ġ4 0", + "ĠT H", + "Ġ201 2", + "Ġv ol", + "Ġg round", + "Ġsec urity", + "Ġup d", + "il t", + "3 5", + "Ġconc ern", + "ĠJ ust", + "Ġwh ite", + "Ġseem s", + "ĠH er", + "pe cially", + "i ents", + "Ġann oun", + "Ġf ig", + "ight s", + "Ġst ri", + "l ike", + "id s", + "Ġs us", + "Ġw atch", + "Ġ â", + "Ġw ind", + "ĠC ont", + "Ġit self", + "Ġm ass", + "A l", + "y le", + "iqu e", + "ĠN ational", + "Ġab s", + "Ġp ack", + "Ġout side", + "Ġan im", + "Ġp ain", + "et er", + "Ġman ag", + "du ct", + "og n", + "Ġ ]", + "ĠSe pt", + "se c", + "o ff", + "ĠJ an", + "Ġf oot", + "ad es", + "Ġth ird", + "Ġm ot", + "Ġev idence", + "int on", + "Ġth reat", + "a pt", + "pl es", + "c le", + "Ġl o", + "Ġde cl", + "Ġit em", + "med i", + "Ġrep resent", + "om b", + "am er", + "Ġsignific ant", + "og raph", + "s u", + "Ġc al", + "i res", + "00 00", + "I D", + "A M", + "Ġsim ply", + "Ġlong er", + "Ġf ile", + "O T", + "c he", + "S o", + "ate g", + "or g", + "ĠH is", + "Ġen er", + "Ġd om", + "Ġup on", + "il i", + "\": \"", + "Ġthem selves", + "Ġcom ing", + "Ġqu ite", + "Ġdiff icult", + "ĠB ar", + "il ities", + "re l", + "end s", + "c ial", + "6 4", + "Ġwom an", + "ra p", + "y r", + "Ġne cess", + "ip s", + "Ġte xt", + "Ġrequ ire", + "Ġmilit ary", + "Ġre view", + "Ġresp ons", + "7 5", + "Ġsub ject", + "Ġinst ead", + "Ġiss ues", + "Ġg en", + "\" ,\"", + "Ġmin utes", + "Ġwe ap", + "r ay", + "am ed", + "t ime", + "b l", + "H ow", + "Ġc ode", + "ĠS m", + "Ġhig her", + "ĠSt e", + "r is", + "Ġp age", + "Ġstud ents", + "ĠIn tern", + "Ġmet hod", + "ĠA ug", + "ĠP er", + "ĠA g", + "Ġpolic y", + "ĠS w", + "Ġex ec", + "Ġac cept", + "um e", + "rib ut", + "Ġword s", + "Ġfin al", + "Ġchang es", + "ĠDem ocr", + "Ġfriend s", + "Ġres pect", + "Ġe p", + "Ġcomp an", + "iv il", + "Ġdam age", + "** **", + "og le", + "viron ment", + "Ġne g", + "ent al", + "Ġa p", + "Ġtot al", + "iv al", + "! \"", + "l im", + "Ġneed s", + "Ġag re", + "Ġdevelop ment", + "Ġa ge", + "ip le", + "2 1", + "Ġresult s", + "ĠA f", + "S h", + "Ġg un", + "ĠOb ama", + "ro ll", + "Ġ @", + "Ġright s", + "ĠB rit", + "Ġrun ning", + "Ġwas n", + "Ġp ort", + "Ġr ate", + "Ġpret ty", + "Ġtarg et", + "Ġsa w", + "Ġc irc", + "Ġwor ks", + "ic ro", + "al t", + "o ver", + "ww w", + "Th at", + "l ier", + "Ġevery one", + "ud e", + "Ġp ie", + "idd le", + "ra el", + "Ġr ad", + "Ġbl ock", + "Ġw alk", + "T o", + "ã ģ", + "n es", + "ĠA ust", + "a ul", + "ro te", + "ĠS outh", + "ess ion", + "op h", + "Ġshow s", + "Ġs ite", + "Ġj o", + "Ġr isk", + "cl us", + "l t", + "Ġin j", + "id ing", + "ĠS pe", + "Ġch all", + "ir m", + "Ġ2 2", + "itt ing", + "st r", + "Ġh y", + "L E", + "ke y", + "Ġbe gan", + "at ur", + "ashing ton", + "l am", + "ĠD av", + "b it", + "Ġs ize", + "ĠP ar", + "3 8", + "ourn al", + "f ace", + "Ġdec ision", + "Ġl arg", + "Ġj ud", + "re ct", + "Ġcontin ue", + "ĠO ct", + "ove red", + "ĠI nt", + "==== ====", + "Ġp arent", + "ĠW ill", + "Ġeas y", + "Ġd rug", + "ang er", + "Ġs ense", + "Ġd i", + "id ay", + "Ġener gy", + "ist ic", + "Ġass oci", + "ar ter", + "ob al", + "e ks", + "ĠE l", + "ur ch", + "Ġg irl", + "o e", + "it le", + "Ġ2 8", + "ĠC he", + "Ġrequ est", + "Ġso on", + "Ġh ost", + "k y", + "Ġst ates", + "om es", + "Ġm aterial", + "le x", + "Ġmom ent", + "Ġan sw", + "on se", + "Ġes pecially", + "Ġn orm", + "Ġserv ices", + "p ite", + "r an", + "Ġro le", + "4 4", + ") :", + "Ġc red", + "C l", + "____ ____", + "Ġm at", + "Ġl og", + "ĠCl inton", + "O U", + "Ġoff ice", + "Ġ2 6", + "Ġch arg", + "Ġtr ack", + "m a", + "Ġhe art", + "Ġb all", + "Ġperson al", + "Ġbuild ing", + "n a", + "s et", + "b ody", + "ĠBl ack", + "Ġincre ase", + "itt en", + "Ġneed ed", + "3 6", + "3 2", + "= \"", + "Ġl ost", + "Ġbec ame", + "Ġgrou ps", + "ĠM us", + "Ġw rote", + "ĠP e", + "Ġpro p", + "j oy", + "à ©", + "ĠWh ite", + "Ġde ad", + ". '", + "Ġhtt p", + "Ġwe bs", + "O S", + "Ġins ide", + "Ġwr ong", + "Ġstat ement", + "Ġ ...", + "y l", + "Ġfil m", + "Ġmus ic", + "Ġsh are", + "ific ation", + "Ġre lease", + "Ġfor ward", + "Ġst ay", + "Ġcomp ut", + "it te", + "s er", + "Ġorig inal", + "Ġc ard", + "Ġc and", + "Ġd iv", + "at ural", + "Ġfav or", + "O M", + "Ġc ases", + "us es", + "Ġse ction", + "Ġle ave", + "g ing", + "ov ed", + "ĠW ashington", + "3 9", + "ĠG l", + "Ġrequ ired", + "act ion", + "ap an", + "o or", + "it er", + "ĠK ing", + "Ġcount ries", + "ĠG erman", + "ll ing", + "Ġ2 7", + "3 4", + "Ġquest ions", + "Ġpr im", + "Ġc ell", + "Ġsh oot", + "Ġany one", + "ĠW est", + "Ġaff ect", + "ep end", + "Ġon line", + "ĠIs rael", + "ĠSept ember", + "Ġab ility", + "Ġcont ent", + "is es", + "Ġre ve", + "Ġl aun", + "Ġind ic", + "Ġfor ce", + "c ast", + "Ġso ld", + "av ing", + "f l", + "Ġso ft", + "Ġcompan ies", + "ce ed", + "Ġart icle", + "Ġa ud", + "Ġre v", + "Ġed uc", + "Ġplay ing", + "0 5", + "Ġhe ld", + "ct or", + "Ġrele ased", + "Ġf ederal", + "3 7", + "Ġad minist", + "Ġinter view", + "Ġinst all", + "Ġrece ived", + "Ġs ource", + "u k", + "P h", + "Ġser ious", + "Ġcre ated", + "Ġc ause", + "Ġim medi", + "Ġdef in", + "u el", + "ĠDep artment", + "ct ions", + "ĠC our", + "ĠN ow", + "z e", + "it es", + "it ution", + "Ġl ate", + "Ġspe ak", + "n ers", + "Ġleg al", + "ar i", + "ĠC or", + "Ġwe eks", + "Ġmod el", + "Ġp red", + "Ġex act", + "B C", + "ĠB y", + "IN G", + "os ing", + "Ġt akes", + "Ġreg ard", + "Ġopp ortun", + "Ġpr ice", + "Ġ19 8", + "ĠA pr", + "f ully", + "Ġor d", + "Ġproble ms", + "ru ction", + "h am", + "ĠC ount", + "le ge", + "Ġlead ers", + "E T", + "le v", + "Ġde ep", + "olog ical", + "es e", + "h aps", + "ĠS ome", + "Ġp ers", + "Ġcont ract", + "Ġrelations hip", + "s p", + "ou d", + "Ġb ase", + "4 8", + "m it", + "A d", + "anc ial", + "Ġcons um", + "Ġpot ential", + "Ġl angu", + "re m", + "et h", + "Ġrel ig", + "ress ed", + "6 6", + "Ġl ink", + "Ġl ower", + "ay er", + "ĠJ une", + "Ġf em", + "un t", + "er c", + "ur d", + "Ġcont act", + "Ġ ill", + "Ġm other", + "Ġest ab", + "h tt", + "ĠM arch", + "ĠB ro", + "ĠCh ina", + "Ġ2 9", + "Ġs qu", + "Ġprov ided", + "Ġa verage", + "as ons", + "Ġ201 1", + "Ġex am", + "l in", + "5 5", + "n ed", + "Ġper fect", + "Ġt ou", + "al se", + "u x", + "Ġbu y", + "Ġsh ot", + "Ġcol lect", + "Ġph ot", + "Ġplay ed", + "Ġsur pr", + "Ġofficial s", + "Ġsim ple", + "av y", + "Ġindust ry", + "Ġhand s", + "g round", + "Ġp ull", + "Ġr ound", + "Ġus er", + "Ġr ange", + "u ary", + "Ġpriv ate", + "op s", + "e es", + "Ġw ays", + "ĠM ich", + "Ġve h", + "Ġex cept", + "Ġter ms", + "im um", + "pp er", + "I ON", + "ore s", + "ĠDr agon", + "ou l", + "Ġd en", + "Ġperform ance", + "Ġb ill", + "c il", + "4 7", + "Ġen vironment", + "Ġex c", + "ad d", + "Ġwor th", + "Ġp ict", + "Ġch ance", + "Ġ201 8", + "b or", + "Ġspe ed", + "ict ion", + "Ġal leg", + "ĠJ apan", + "at ory", + "re et", + "Ġm atch", + "ĠI I", + "Ġst ru", + "ord er", + "Ġst e", + "Ġl iving", + "Ġst ruct", + "in o", + "Ġse par", + "her n", + "Ġresp onse", + "Ġen joy", + "Ġv ia", + "A D", + "um ents", + "ace book", + "Ġmem ber", + "ib r", + "iz ing", + "Ġto ol", + "ĠM on", + "ĠWh ile", + "h ood", + "ĠA ng", + "ĠD ef", + "Ġoff er", + "T r", + "a ur", + "Ġturn ed", + "ĠJ uly", + "d own", + "an ced", + "Ġrec ently", + "ĠE ar", + "Ġc e", + "ĠSt ar", + "ĠC ong", + "rough t", + "Ġbl ood", + "Ġhop e", + "Ġcom ment", + "ain t", + "Ġar ri", + "il es", + "Ġpartic ip", + "ough t", + "ri ption", + "0 8", + "4 9", + "Ġg ave", + "Ġse lect", + "Ġkill ed", + "sy ch", + "Ġgo es", + "i j", + "Ġc oll", + "Ġimp act", + "at ives", + "ĠS er", + "0 9", + "ĠAug ust", + "Ġb oy", + "d e", + "ĠD es", + "Ġf elt", + "U S", + "Ġexpect ed", + "Ġim age", + "ĠM ark", + "cc ording", + "o ice", + "E C", + "ĠM ag", + "en ed", + "h old", + "ĠP ost", + "Ġpre vent", + "N o", + "Ġinvol ved", + "Ġey es", + "Ġquick ly", + "A t", + "un k", + "Ġbeh av", + "Ġ ur", + "Ġl ed", + "c ome", + "e y", + "Ġcand id", + "Ġear lier", + "Ġfoc us", + "et y", + "P ro", + "led ge", + "ix ed", + "ill ed", + "Ġpop ular", + "A P", + "Ġset t", + "l ight", + "Ġvar ious", + "in ks", + "Ġlevel s", + "Ġro ad", + "ell ig", + "ab les", + "he l", + "itte e", + "ĠG ener", + "y pe", + "Ġhe ard", + "ic les", + "Ġm is", + "Ġus ers", + "ĠS an", + "Ġimpro ve", + "Ġf ather", + "Ġse arch", + "The y", + "v il", + "Ġprof ess", + "Ġkn ew", + "Ġl oss", + "Ġev ents", + "6 5", + "Ġb illion", + "0 7", + "0 2", + "ĠNew s", + "ĠA M", + "Ġco ver", + "w here", + "ens ion", + "Ġb ott", + "Ġare as", + "en ces", + "op e", + "ĠTw itter", + "a el", + "Ġget s", + "ĠGo ogle", + "Ġs n", + "i ant", + "Ġv ote", + "Ġnear ly", + "Ġinclud ed", + "Ġrec ogn", + "z z", + "m m", + "al ed", + "Ġhappen ed", + "0 4", + "Ġh ot", + "Ġwho se", + "Ġc ivil", + "Ġsu ff", + "o es", + "it iz", + "ĠSy ri", + "Ġresp ond", + "Ġh on", + "Ġfeat ures", + "Ġeconom ic", + "ĠApr il", + "r im", + "Ġtechn ology", + "Ġo ption", + "ag ing", + "Ġpur ch", + "R e", + "Ġl at", + "ch ie", + "is l", + "Ġrec omm", + "u f", + "Ġtr aining", + "Ġeffect s", + "Ġf ast", + "Ġ201 0", + "Ġocc ur", + "Ġwebs ite", + "Ġem ail", + "Ġs ens", + "e ch", + "Ġo il", + "Ġinf lu", + "Ġcurrent ly", + "ĠS ch", + "ĠAd d", + "Ġgo al", + "Ġsc ient", + "Ġcon v", + "1 00", + "em y", + "Ġdec ided", + "Ġtra vel", + "Ġm ention", + "L L", + "0 3", + "Ġe lection", + "Ġph one", + "Ġlook s", + "Ġsit uation", + "Ġc y", + "Ġh or", + "b ed", + "ĠCour t", + "a ily", + "av es", + "Ġqu ality", + "ĠCom p", + "w ise", + "Ġt able", + "Ġst aff", + "ĠW ind", + "et t", + "Ġtri ed", + "ide red", + "Ġadd ition", + "Ġb ox", + "Ġl ack", + "ar ily", + "Ġw ide", + "Ġm id", + "Ġbo ard", + "ys is", + "Ġant i", + "h a", + "Ġd ig", + "en ing", + "Ġd ro", + "C on", + "6 8", + "Ġsl ow", + "b ased", + "se qu", + "Ġp ath", + "E x", + "ak er", + "Ġwork ed", + "Ġp en", + "Ġeng ine", + "Ġlook ed", + "ĠSu per", + "ĠS erv", + "Ġvict im", + "U n", + "Ġproper ty", + "Ġint rodu", + "Ġexec ut", + "ĠP M", + "L e", + "Ġcol or", + "ĠM ore", + "Ġ6 0", + "Ġnet work", + "Ġd ate", + "c ul", + "id ge", + "Ġext ra", + "3 1", + "Ġs le", + "6 7", + "Ġw ond", + "Ġreport s", + "j ust", + "ĠAust ral", + "Ġcap ital", + "Ġen s", + "Ġcomm and", + "Ġallow ed", + "Ġpre p", + "Ġca pt", + "h ib", + "Ġnum bers", + "ch an", + "Ġf air", + "m p", + "om s", + "Ġre ach", + "W ith", + "t ain", + "Ġbro ad", + "Ġcou ple", + "ec ause", + "ly ing", + "ĠF eb", + "Ġsc reen", + "Ġl ives", + "Ġpri or", + "ĠCong ress", + "A r", + "Ġappro ach", + "Ġe mer", + "ar ies", + "ĠD is", + "s erv", + "ĠN e", + "Ġbu ilt", + "c ies", + "Ġre pe", + "Ġrul es", + "for ce", + "ĠP al", + "Ġfin ancial", + "Ġcons idered", + "ĠCh ar", + "n ces", + "ĠI S", + "Ġb rought", + "Ġb i", + "i ers", + "ĠS im", + "O P", + "Ġproduct s", + "Ġvis it", + "Ġdoc ument", + "Ġcon duct", + "Ġcomplete ly", + "in ing", + "ĠCal if", + "ib ly", + "Ġwr itten", + "ĠT V", + "em ents", + "Ġd raw", + "O ne", + "Ġpub lished", + "Ġsec ret", + "r ain", + "he t", + "ĠF acebook", + "ond ay", + "ĠU p", + "Ġsex ual", + "Ġth ous", + "ĠP at", + "Ġ ess", + "Ġstand ard", + "Ġar m", + "g es", + "ect ion", + "Ġf ell", + "Ġfore ign", + "an i", + "ĠFr iday", + "Ġreg ular", + "in ary", + "Ġincre ased", + "Ġus ually", + "Ġdem on", + "Ġd ark", + "Ġadd itional", + "ro l", + "ĠO f", + "Ġprodu ction", + "! !", + "und red", + "Ġintern ational", + "id ents", + "ĠF ree", + "rou p", + "Ġr ace", + "Ġm ach", + "Ġh uge", + "A ll", + "le ar", + "ove mber", + "Ġto wn", + "Ġatt ention", + "ĠO ff", + "y ond", + "ĠThe n", + "f ield", + "Ġter ror", + "ra z", + "ĠB o", + "Ġmeet ing", + "ĠP ark", + "Ġar rest", + "Ġf ear", + "Ġa w", + "ĠV al", + "or ing", + "' ,", + "Ġext reme", + "ar r", + "Ġwork ers", + "A fter", + "Ġ3 1", + "n et", + "am ent", + "Ġdirect ly", + "Ġpop ulation", + "ub e", + "ĠOct ober", + "ĠI N", + "ĠJan uary", + "5 9", + "ĠDav id", + "Ġc ross", + "ce mber", + "ĠF irst", + "Ġmess age", + "ir it", + "Ġn ation", + "Ġp oll", + "is ions", + "Ġansw er", + "n y", + "is ode", + "Ġcar ry", + "ĠRuss ia", + "Ġhe ar", + "eng th", + "ro y", + "Ġn atural", + "in ally", + "Ġdo g", + "m itted", + "Ġtr ade", + "Ġsub st", + "Ġmult iple", + "ĠAf ric", + "Ġf ans", + "Ġs ort", + "Ġgl obal", + "ic ation", + "ĠW ed", + "ar a", + "Ġa chie", + "Ġlangu age", + "ve y", + "Ġt al", + "Ġnecess ary", + "Ġdet ails", + "Ġs en", + "ĠS und", + "ĠRe g", + "ĠR ec", + "0 6", + "Ġs il", + "ress ive", + "Ġmed ical", + "un ch", + "orn ia", + "Ġu nd", + "f ort", + "oc ks", + "ĠM onday", + "ues day", + "c raft", + "7 7", + "ur t", + "Ġ ver", + "ĠH ill", + "Ġrece ive", + "Ġmor ning", + "es tern", + "Ġb ank", + "Ġs at", + "ir th", + "ĠH igh", + "Ġdev ice", + "ĠTH E", + "ĠCent er", + "Ġsaf e", + "Ġp le", + "ĠCanad a", + "Ġsystem s", + "Ġass ist", + "Ġsur v", + "Ġb attle", + "ĠS oc", + "vert is", + "S he", + "Ġp aper", + "Ġgrow th", + "Ġc ast", + "S c", + "Ġpl ans", + "ll ed", + "Ġpart s", + "Ġw all", + "Ġmove ment", + "Ġpract ice", + "im ately", + "Ġdis play", + "Ġsomet imes", + "om p", + "ĠP aul", + "ĠY es", + "k ing", + "5 8", + "o ly", + "Ġs on", + "Ġav oid", + "ok es", + "ĠJ ew", + "Ġto wards", + "as c", + "Ġ //", + "ĠK ore", + "Ġtalk ing", + "Ġcor rect", + "Ġsp ent", + "ic ks", + "i able", + "e ared", + "Ġter m", + "Ġwant s", + "om ing", + "Ġ ut", + "Ġdou b", + "Ġfor ces", + "Ġp lease", + "6 9", + "ĠN ovember", + "at form", + "ond on", + "Ġon es", + "Ġimmedi ately", + "ĠRuss ian", + "ĠM et", + "Ġde g", + "Ġparent s", + "C H", + "ĠAmeric ans", + "al y", + "ĠM od", + "Ġsh own", + "Ġcond itions", + "Ġst uff", + "Ġre b", + "ĠY our", + "Ġinclud es", + "n own", + "ĠS am", + "Ġexper ien", + "m ission", + "ĠE ven", + "augh t", + "Ġannoun ced", + "ĠRepublic an", + "Ġdeter min", + "Ġdescrib ed", + "ĠCount y", + "( )", + "Ġdo or", + "Ġchang ed", + "Ġne igh", + "ĠH ere", + "Ġcle an", + "Ġp an", + "ĠDe cember", + "ĠEurope an", + "ir ing", + "ap ter", + "Ġcl ub", + "ĠT uesday", + "Ġp aid", + "ĠN et", + "Ġattack s", + "Ġcharact ers", + "Ġal one", + "Ġdirect or", + "d om", + "Ġ3 5", + "Ġl oad", + "Ġr out", + "ĠCalif ornia", + "Ġfin ally", + "Ġr ac", + "Ġcont r", + "Ġexact ly", + "res h", + "p ri", + "ĠIs lam", + "Ġn ature", + "Ġcare er", + "Ġlat est", + "Ġcon vers", + "ĠS l", + "p ose", + "ci ent", + "ĠIn c", + "iv ity", + "8 8", + "ĠA tt", + "ĠM or", + "nes day", + "Ġwe ight", + "k en", + "Ġnot e", + "Ġteam s", + "Ġ \\", + "air s", + "ĠG reen", + "Ġh undred", + "on ent", + "Ġstre ng", + "Ġcons ist", + "ic ated", + "Ġreg ul", + "Ġl ic", + "ast ic", + "Ġt en", + "urs day", + "ellig ence", + "ous ly", + "ĠU K", + "B I", + "Ġcost s", + "Ġind epend", + "ĠA P", + "Ġnorm al", + "Ġh om", + "Ġob vious", + "Ġs we", + "Ġst ar", + "Ġread y", + "ac her", + "Ġimp lement", + "g est", + "Ġs ong", + "ĠG et", + "ĠL ab", + "Ġinterest ing", + "us ing", + "Ġg iving", + "ĠSund ay", + "Ġet c", + "Ġm iddle", + "Ġrem ember", + "r ight", + "os ition", + "ut ions", + "Ġm ax", + "4 6", + "Ġyour self", + "Ġdem and", + "Ġtreat ment", + "Ġd anger", + "ĠC ons", + "Ġgu y", + "ĠBrit ish", + "Ġphys ical", + "Ġrel ated", + "Ġrem ain", + "Ġcould n", + "Ġref er", + "Ġc itiz", + "b ox", + "EN T", + "bo ard", + "Ġin n", + "I G", + "er o", + "ĠSt reet", + "osp ital", + "ren ch", + "cher s", + "Ġst ra", + "O L", + "ag er", + "ĠA N", + "Ġeas ily", + "I A", + "en ge", + "in y", + "Ġcl os", + "ock ed", + "Ġus es", + "ĠC oun", + "I m", + "u ild", + "? ?", + "m ore", + "Ġan g", + "Ġwr ite", + "ol ute", + "5 7", + "Ġlead er", + "Ġread ing", + "< /", + "Ġaut om", + "est s", + "4 3", + "Ġleg isl", + "ĠG old", + "Ġdesign ed", + "ĠS T", + "ĠLe g", + "a res", + "Ġbe aut", + "ĠT ex", + "Ġappear s", + "Ġstru gg", + "ĠR om", + "Ġ 00", + "Ġcho ice", + "Ġparticular ly", + "ĠF rom", + "op er", + "ĠL ondon", + "ann ed", + "Ġallow s", + "ob ile", + "Ġdiffere nce", + "âĢ ¢", + "ĠV iew", + "ĠWed nesday", + "Ġal though", + "Ġrel ative", + "Ġapplic ation", + "ate ver", + "Ġare n", + "Ġmy self", + "Ġim ag", + "Ġdis e", + "Ġsoc iety", + "Ġfre qu", + "ĠEng lish", + "Ġpo or", + "ĠD ay", + "Ġwrit ing", + "Ġse ven", + "Ġstart ing", + "Ġb ud", + "Ġpr int", + "ĠTr ans", + "uf act", + "ĠSt ud", + "n ew", + "Ġcr im", + "Ġg ives", + "Ġco ol", + "a e", + "i ance", + "ĠGener al", + "Ġthink ing", + "Ġsa ve", + "Ġlim ited", + "ĠPart y", + "Ġmean ing", + "p en", + "ow ers", + "ĠJ ack", + "E M", + "Ġn ice", + "ru pt", + "Ġg as", + "Ġe ight", + "Ġfe et", + "Ġeff ort", + "Ġ ign", + "ic it", + "B l", + "co in", + "Ġop in", + "Ġbr ain", + "Wh ile", + "he st", + "ĠTh ursday", + "Ġwould n", + "augh ter", + "Ġtou ch", + "le ments", + "Ġstud ies", + "Ġcent er", + "c ont", + "or ge", + "Ġcomput er", + "Ġinvestig ation", + "P l", + "or ks", + "Ġ200 8", + "Ġincre asing", + "Ġst ore", + "Ġcom ments", + "Ġb al", + "m en", + "Ġdo ll", + "Ġl iber", + "Ġw ife", + "Ġlaw s", + "atur day", + "it ness", + "Ġmod ern", + "ĠS k", + "Ġadminist ration", + "Ġopportun ity", + "Ġs al", + "Ġpower ful", + "M y", + "Ġclaim s", + "ĠEar th", + "ord s", + "Ġt itle", + "Ġes c", + "n ame", + "N ot", + "om en", + "Ġbe yond", + "Ġc amer", + "Ġse ll", + "it ute", + "ear ch", + "Ġapp l", + "im ent", + "4 2", + "ĠAr t", + "Ġun f", + "Ġviol ence", + "ur g", + "ĠE ast", + "Ġcomp ared", + "Ġopt ions", + "Ġthrough out", + "Ġv s", + "ig r", + ". [", + "ac hes", + "7 8", + "Ġfil es", + "F L", + "E L", + "ar ian", + "ĠJ ames", + "ĠA ir", + "an ch", + "Ġdet ail", + "Ġpie ce", + "P S", + "Ġn amed", + "Ġeduc ation", + "Ġdri ve", + "Ġitem s", + "Ġstud ent", + "ic ed", + ": :", + "ic o", + "Ġth row", + "Ġsc ene", + "Ġcomple x", + "Ġ200 9", + "Ġpre c", + "ĠB re", + "7 9", + "Ġcon cept", + "Ġstat us", + "am ing", + "Ġd ied", + "Ġknow ledge", + "Ġbegin ning", + "O D", + "ru ary", + "Ġcertain ly", + "Ġgu ys", + "Ġsl ight", + "in n", + "ound s", + "Ġf ine", + "Ġf at", + "ic ations", + "Ġper haps", + "ĠA nt", + "Ġinc ome", + "Ġhtt ps", + "Ġmajor ity", + "port s", + "st on", + "Ġgreat er", + "Ġfe ed", + "ent ially", + "Ġsaf ety", + "Ġun ique", + "and om", + "Ġg one", + "Ġshow ed", + "Ġhist or", + "Ġcoun ter", + "i us", + "id a", + "Ġlead ing", + "i pe", + "Ġs end", + "ĠDon ald", + "er ve", + "Ġdef ense", + "ines e", + "Ġy es", + "ĠF ire", + "ĠMus lim", + "ra q", + "Ġcontin ued", + "os h", + "Ġprov ides", + "Ġpr ison", + "ĠP re", + "Ġhapp y", + "Ġeconom y", + "Ġtr ust", + "ag s", + "ĠG ame", + "Ġweap ons", + "um an", + "ĠC le", + "it ation", + "Ġanal ysis", + "ĠT imes", + "Ġsc ience", + "- >", + "Ġfig ure", + "Ġdis app", + "ent y", + "Ġsoft ware", + "Ġu lt", + "Ġoffic ers", + "N ew", + "I s", + "Ġrem ains", + "ĠInd ia", + "Ġp sych", + "ri ef", + "Ġc at", + "es c", + "Ġob serv", + "Ġst age", + "ĠD ark", + "Ġent er", + "ch ange", + "Ġpass ed", + "Ġdes pite", + "ĠO ut", + "Ġmov ie", + "r s", + "Ġv oice", + "m ine", + "ĠPl ay", + "Ġto ward", + "ĠT er", + "Ġreg ion", + "Ġval ues", + "or ters", + "Ġm ount", + "Ġoffic er", + "ĠO ther", + "b an", + "Ġh ous", + "w ood", + "ro om", + "I V", + "ĠS un", + "se e", + "ĠO ver", + "ro g", + "9 0", + "Ġl ay", + "ĠT ur", + "a wn", + "Ġpress ure", + "ĠS ub", + "Ġbook s", + "ed om", + "ĠS and", + "A A", + "ag o", + "Ġre asons", + "f ord", + "Ġactiv ity", + "U T", + "N ow", + "ĠSen ate", + "ce ll", + "n ight", + "Ġcall s", + "in ter", + "Ġlet ter", + "ĠR ob", + "ĠJ e", + "Ġcho ose", + "ĠL aw", + "G et", + "B e", + "Ġro b", + "Ġtyp es", + "Ġpl atform", + "Ġqu arter", + "R A", + "ĠT ime", + "Ġmay be", + "ĠC r", + "9 5", + "p re", + "Ġmov ing", + "Ġl if", + "Ġgo ld", + "Ġs om", + "Ġpat ients", + "Ġtr uth", + "ĠK e", + "ur ance", + "ant ly", + "m ar", + "Ġchar ge", + "ĠG reat", + "Ġce le", + "---------------- ----------------", + "Ġro ck", + "ro id", + "an cy", + "Ġcred it", + "a ud", + "B y", + "ĠE very", + "Ġmov ed", + "ing er", + "rib ution", + "Ġn ames", + "Ġstra ight", + "ĠHe alth", + "ĠW ell", + "Ġfe ature", + "Ġr ule", + "Ġsc he", + "in ated", + "ĠMich ael", + "ber g", + "4 1", + "il ed", + "b and", + "Ġcl ick", + "ĠAng el", + "on ents", + " Ń", + "ĠI raq", + "ĠS aturday", + "Ġa ware", + "p art", + "Ġpat tern", + "O W", + "ĠL et", + "Ġgr ad", + "ign ed", + "Ġassoci ated", + "Ġst yle", + "n o", + "i ation", + "a ith", + "il ies", + "Ġst ories", + "ur ation", + "Ġindividual s", + "ĠâĢ ¦", + "m iss", + "ĠAss oci", + "ish ing", + "ab y", + "Ġsum mer", + "ĠB en", + "Ġ3 2", + "Ġar ch", + "ut y", + "ĠTex as", + "h ol", + "Ġfull y", + "Ġm ill", + "Ġfollow ed", + "ĠB ill", + "ĠInd ian", + "ĠSec ret", + "ĠB el", + "ĠFeb ruary", + "Ġjob s", + "Ġseem ed", + "ĠGo vern", + "i pped", + "Ġreal ity", + "Ġl ines", + "Ġp ark", + "Ġmeas ure", + "ĠO ur", + "I M", + "Ġbro ther", + "Ġgrow ing", + "Ġb an", + "Ġest im", + "Ġc ry", + "ĠS chool", + "Ġme chan", + "ĠO F", + "ĠWind ows", + "Ġr ates", + "ĠO h", + "Ġpos itive", + "Ġcult ure", + "ist ics", + "ic a", + "Ġh ar", + "y a", + "ite ly", + "i pp", + "Ġm ap", + "en cies", + "ĠWill iam", + "I I", + "ak ers", + "5 6", + "ĠM art", + "ĠR em", + "Ġal tern", + "it ude", + "Ġco ach", + "row d", + "D on", + "Ġk ids", + "Ġj ournal", + "Ġcor por", + "Ġf alse", + "Ġwe b", + "Ġsle ep", + "Ġcont ain", + "Ġst o", + "Ġb ed", + "iver se", + "ĠR ich", + "ĠCh inese", + "Ġp un", + "Ġme ant", + "k nown", + "Ġnot ice", + "Ġfavor ite", + "a ven", + "Ġcond ition", + "Ġpur pose", + ") )", + "Ġorgan ization", + "Ġchall eng", + "Ġman ufact", + "Ġsus p", + "ĠA c", + "Ġcrit ic", + "un es", + "uc lear", + "Ġm er", + "vent ion", + "Ġ8 0", + "Ġm ist", + "ĠU s", + "ĠT or", + "htt p", + "ol f", + "Ġlarg er", + "Ġadv ant", + "Ġrese ar", + "Ġact ions", + "m l", + "Ġke pt", + "Ġa im", + ", '", + "c ol", + "Ġbenef its", + "if ying", + "Ġact ual", + "ĠIntern ational", + "Ġveh icle", + "Ġch ief", + "Ġeff orts", + "ĠLe ague", + "ĠM ost", + "Ġwa it", + "Ġad ult", + "Ġover all", + "Ġspe ech", + "Ġhigh ly", + "Ġfem ale", + "Ġer ror", + "Ġeffect ive", + "5 4", + "Ġenc our", + "w ell", + "Ġfail ed", + "Ġcons erv", + "Ġprogram s", + "Ġt rou", + "Ġa head", + "5 00", + "vertis ement", + "I P", + "ĠF ound", + "p ir", + "Ġ %", + "Ġcr ime", + "and er", + "Ġloc ation", + "ĠI ran", + "Ġbehav ior", + "az ing", + "Ġr are", + "Ġem b", + "Ġca used", + "Ġsh ip", + "Ġact ive", + "Ġcont ribut", + "Ġg reen", + "Ġac qu", + "Ġref lect", + "ven ue", + "Ġf irm", + "Ġb irth", + "] .", + "Ġclear ly", + "Ġem ot", + "Ġag ency", + "ri age", + "Ġmem ory", + "9 8", + "S A", + "ĠSe e", + "ac ing", + "C C", + "Ġbig gest", + "Ġr ap", + "Ġbas ic", + "Ġb and", + "e at", + "Ġsus pect", + "ĠM ac", + "Ġ9 0", + "m ark", + "ist an", + "Ġsp read", + "am s", + "k i", + "as y", + "ra v", + "ĠR ober", + "Ġdemon str", + "r ated", + "Ġabs olute", + "Ġpl aces", + "Ġim pl", + "ibr ary", + "Ġc ards", + "Ġdest roy", + "Ġv irt", + "ve re", + "Ġapp eared", + "y an", + "p oint", + "Ġbe g", + "Ġtem per", + "s pe", + "ant ed", + "ear s", + "ĠD irect", + "Ġl ength", + "Ġbl og", + "am b", + "Ġint eg", + "Ġres ources", + "ac c", + "if ul", + "Ġsp ot", + "Ġfor ced", + "Ġthous ands", + "ĠMin ister", + "Ġqu al", + "ĠF rench", + "at ically", + "Ġgener ally", + "Ġdr ink", + "Ġth us", + "I L", + "od es", + "Ġappro pri", + "ĠRe ad", + "Ġwh om", + "Ġey e", + "Ġcol lege", + "Ġ4 5", + "ire ction", + "Ġens ure", + "Ġapp arent", + "id ers", + "Ġrelig ious", + "Ġmin or", + "ol ic", + "Ġt ro", + "ĠWh y", + "rib ute", + "m et", + "Ġprim ary", + "Ġdevelop ed", + "Ġpe ace", + "Ġsk in", + "st e", + "av a", + "Ġbl ue", + "Ġfam ilies", + "Ġ ir", + "Ġapp ly", + "Ġin form", + "ĠSm ith", + "C T", + "i i", + "Ġlim it", + "Ġres ist", + "........ ........", + "um n", + "Ġconf lic", + "Ġtw e", + "ud d", + "ĠT om", + "Ġl iter", + "qu e", + "b on", + "Ġha ir", + "Ġevent ually", + "Ġp us", + "Ġhelp ed", + "Ġag g", + "or ney", + "ĠApp le", + "Ġf it", + "ĠS ur", + "Ġpre m", + "Ġs ales", + "Ġsecond s", + "Ġstreng th", + "Ġfeel ing", + "¿ ½", + "Ġt our", + "Ġknow s", + "o om", + "Ġex erc", + "Ġsom ew", + "ï ¿½", + "> >", + "Ġsp okes", + "Ġide as", + "Ġreg ist", + "so ft", + "ĠD el", + "ĠP C", + "Ġpro pos", + "Ġlaun ch", + "Ġbott om", + "T H", + "ĠP lease", + "v est", + "it z", + "ĠIn ter", + "Ġsc ript", + "Ġr at", + "ar ning", + "Ġ il", + "ĠJ er", + "ĠA re", + "Ġwh atever", + "ok en", + "ci ence", + "Ġmod e", + "Ġag ree", + "Ġs ources", + "Ġinit ial", + "Ġrest rict", + "Ġwond er", + "us ion", + "## ##", + "ĠS il", + "vil le", + "Ġb urn", + "t w", + "as ion", + "Ġ £", + "Ġn or", + "u ing", + "Ġre ached", + "Ġs un", + "Ġc ateg", + "ig ration", + "Ġc ook", + "Ġprom ot", + "Ġm ale", + "Ġcl imate", + "Ġf ix", + "Ġalleg ed", + "U R", + "all ed", + "Ġim ages", + "C ont", + "ot a", + "Ġschool s", + "i os", + "Ġd rop", + "Ġst ream", + "ĠM o", + "Ġprevious ly", + "al ing", + "Ġp et", + "Ġdou ble", + "Ġ( @", + "ann el", + "Ġdef ault", + "t ies", + "Ġr ank", + "ĠD ec", + "ĠCoun cil", + "Ġweap on", + "Ġst ock", + "Ġanal y", + "ĠSt r", + "Ġpict ure", + "ĠPol ice", + "f erence", + "Ġcent ury", + "Ġcitiz ens", + "Ġon to", + "Ġexp and", + "Ġhe ro", + "ĠS ol", + "Ġw ild", + "Ġupd ate", + "Ġcustom ers", + "r ont", + "d ef", + "Ġl ik", + "Ġcrim inal", + "ĠChrist ian", + "S P", + "7 6", + "Ġle aving", + "Ġother wise", + "ĠD ist", + "Ġbas is", + "5 2", + "5 3", + "ic ip", + "ĠB er", + "Ġrecomm end", + "Ġfl oor", + "Ġc rowd", + "ol es", + "Ġ7 0", + "Ġcent ral", + "ĠE v", + "Ġd ream", + "Ġdown load", + "Ġconf ir", + "ĠTh om", + "Ġwind ow", + "Ġhapp ens", + "Ġun it", + "Ġt end", + "Ġs pl", + "Ġbec omes", + "Ġfight ing", + "Ġpred ict", + "ĠP ress", + "ĠP ower", + "Ġhe avy", + "ak ed", + "Ġf an", + "or ter", + "ate gy", + "B A", + "iz es", + "Ġsp end", + "H ere", + "Ġ200 7", + "Ġad op", + "ĠH am", + "Ġfoot ball", + "ĠP ort", + "od ay", + "5 1", + "amp ions", + "Ġtrans fer", + "h t", + "Ġ3 8", + "ter m", + "ac ity", + "Ġb ur", + "] ,", + "tern al", + "r ig", + "b ut", + "Ġthere fore", + "ĠB ecause", + "res p", + "re y", + "Ġm ission", + "S ome", + "Ġnot ed", + "Ġass um", + "Ġdise ase", + "Ġed it", + "Ġprog ress", + "r d", + "ĠB rown", + "oc al", + "Ġadd ing", + "Ġra ised", + "ĠAn y", + "Ġt ick", + "Ġsee ing", + "ĠPe ople", + "Ġagre ement", + "Ġser ver", + "Ġw at", + "Ġdeb ate", + "Ġsupp osed", + "il ing", + "Ġlarg est", + "Ġsuccess ful", + "ĠP ri", + "ĠDemocr atic", + "Ġj ump", + "ĠSyri a", + "Ġown ers", + "Ġoff ers", + "Ġshoot ing", + "Ġeff ic", + "se y", + "Ġha ven", + "ver se", + "te red", + "ĠL ight", + "im al", + "ĠB ig", + "Ġdef end", + "Ġbe at", + "Ġrecord s", + "% )", + "Ġsc en", + "Ġemploy ees", + "Ġdev ices", + "he m", + "Ġcom mer", + "ĠM ex", + "Ġbenef it", + "ĠPro f", + "Ġil leg", + "Ġsur face", + "ĠAl so", + "Ġh arm", + "ing ly", + "w ide", + "ĠA lex", + "Ġsh ut", + "ĠC ur", + "Ġl ose", + "p m", + "Ġchall enge", + "se mb", + "Ġst ation", + "Ġint elligence", + "Ġacc ur", + "ĠFl or", + "Ġrequ ires", + "ĠM al", + "b um", + "Ġh ospital", + "Ġsp irit", + "Ġoff ered", + "Ġprodu ce", + "ĠComm un", + "Ġcreat ing", + "Ġcr is", + "s pect", + "Ġend ed", + "Ġd aily", + "Ġvot ers", + "land s", + "i as", + "i h", + "on a", + "Ġsm art", + "ĠOff ice", + "ĠL ord", + "ri al", + "ĠIntern et", + "Ġcirc um", + "Ġextreme ly", + "' .", + "Ġopin ion", + "ĠM il", + "Ġg ain", + "B S", + "ĠF in", + "y p", + "Ġuse ful", + "Ġbud get", + "Ġcom fort", + "is f", + "Ġback ground", + "el ine", + "Ġep isode", + "Ġen emy", + "Ġtri al", + "Ġestab lish", + "d ate", + "ĠC ap", + "Ġcontin ues", + "Ġshow ing", + "ĠUn ion", + "w ith", + "Ġpost ed", + "ĠSy stem", + "Ġe at", + "ri an", + "Ġr ise", + "ĠGerman y", + "il s", + "Ġsign ed", + "Ġv ill", + "Ġgr and", + "m or", + "ĠEng land", + "Ġproject s", + "um ber", + "Ġconf erence", + "z a", + "Ġrespons ible", + "ĠAr ab", + "Ġlearn ed", + "âĢĶ âĢĶ", + "i pping", + "ĠGe orge", + "O C", + "Ġreturn ed", + "ĠAustral ia", + "Ġb rief", + "Q u", + "Ġbr and", + "ill ing", + "ab led", + "Ġhig hest", + "Ġtr ain", + "ĠComm ission", + "wh ile", + "Ġn om", + "cept ion", + "Ġm ut", + "ĠBl ue", + "Ġinc ident", + "v ant", + "8 6", + "ĠI D", + "Ġn uclear", + "7 4", + "ĠL ike", + "ĠR E", + "ĠM icro", + "l i", + "m ail", + "Ġcharg es", + "8 9", + "Ġad just", + "ad o", + "Ġear th", + "N A", + "Ġpr ices", + "P A", + "Ġd raft", + "Ġrun s", + "Ġcandid ate", + "ens es", + "Ġmanag ement", + "ĠPh il", + "ĠM iss", + "Ġte ach", + "g ram", + "Ġunderstand ing", + "a it", + "ic ago", + "A dd", + "ĠE p", + "sec ut", + "Ġsepar ate", + "Ġinst ance", + "Ġe th", + "Ġun less", + "**** ****", + "ĠF ore", + "in ate", + "Ġoper ations", + "S p", + "Ġf aith", + "g ar", + "ĠCh urch", + "ron ic", + "Ġconf ig", + "os ure", + "Ġactiv ities", + "Ġtrad itional", + "Ġ3 6", + "Ġd irection", + "Ġmach ine", + "Ġsur round", + "Ġp ush", + "un ction", + "ĠE U", + "Ġeas ier", + "Ġarg ument", + "G B", + "Ġm icro", + "Ġsp ending", + "iz ations", + "Ġthe ory", + "ad ow", + "Ġcall ing", + "ĠL ast", + "Ġd er", + "Ġinflu ence", + "Ġcomm it", + "Ġph oto", + "Ġun c", + "ist ry", + "g n", + "ast e", + "ack s", + "Ġdis p", + "ad y", + "d o", + "ĠG ood", + "Ġ `", + "Ġw ish", + "Ġreve aled", + "Âł Âł", + "l ig", + "Ġen force", + "ĠComm ittee", + "Ġche m", + "Ġmil es", + "Ġinterest ed", + "Ġsol ution", + "ic y", + "in ct", + "Ġ- >", + "ĠD et", + "Ġrem oved", + "Ġcomp ar", + "e ah", + "Ġpl ant", + "ĠS ince", + "Ġachie ve", + "Ġadvant age", + "Ġslight ly", + "b ing", + "Ġpl aced", + "u nder", + "201 5", + "ĠM ad", + "Ġt im", + "os es", + "Ġc ru", + "ĠR ock", + "Ġmost ly", + "Ġneg ative", + "Ġset ting", + "Ġprodu ced", + "Ġm ur", + "Ġconnect ion", + "ĠM er", + "Ġdri ver", + "Ġexecut ive", + "Ġass ault", + "Ġb orn", + "ĠV er", + "t ained", + "Ġstruct ure", + "Ġredu ce", + "Ġdec ades", + "Ġd ed", + "u ke", + "ĠM any", + "idd en", + "Ġle ague", + "S e", + "Ġjo in", + "Ġdis co", + "Ġd ie", + "c ks", + "act ions", + "Ġass ess", + "ag n", + "Ġgo als", + "our s", + "I R", + "Ġsen ior", + "ill er", + "m od", + "ip ment", + "oc ol", + "u y", + "ĠQ ue", + "Ġpart ies", + "ir gin", + "Ġle arning", + "it able", + "Ġstre et", + "Ġcamer a", + "A pp", + "Ġsk ills", + "b re", + "c ious", + "Ġcele br", + "ĠFr anc", + "Ġexist ing", + "Ġwill ing", + "l or", + "Ġ id", + "ĠSp ace", + "Ġcrit ical", + "ĠL a", + "ortun ately", + "Ġser ve", + "Ġc old", + "Ġspec ies", + "T S", + "Ġanim als", + "ĠB ay", + "Ġold er", + "ĠU nder", + "est ic", + "ĠT re", + "Ġte acher", + "Ġpre fer", + "v is", + "Ġth read", + "ĠM att", + "Ġmanag er", + "ãĥ »", + "Ġprofess ional", + "ĠV ol", + "Ġnot es", + "The se", + "ul a", + "Ġf resh", + "ent ed", + "u zz", + "ed y", + "clus ion", + "ĠR el", + "Ġdoub t", + "E O", + "Ġopen ed", + "ĠB it", + "Ad vertisement", + "Ġgu ess", + "ĠU N", + "Ġse qu", + "Ġexpl ain", + "ott en", + "Ġatt ract", + "ak s", + "Ġstr ing", + "Ġcont ext", + "oss ible", + "ĠRepublic ans", + "Ġsol id", + "Ġc ities", + "Ġask ing", + "Ġr andom", + "u ps", + "ur ies", + "ar ant", + "dd en", + "g l", + "ĠFlor ida", + "Ġdep end", + "ĠSc ott", + "Ġ3 3", + "Ġi T", + "ic on", + "Ġmention ed", + "Ġ2 000", + "Ġclaim ed", + "Ġdefin itely", + "ul f", + "Ġc ore", + "Ġopen ing", + "ĠCon st", + "wh ich", + "ĠT ra", + "A G", + "7 2", + "Ġbelie ved", + "ad a", + "Ġ4 8", + "ĠSec urity", + "yr ight", + "ĠP et", + "ĠL ou", + "Ġhold ing", + "======== ========", + "Ġ ice", + "Ġb row", + "Ġauthor ities", + "h ost", + "w ord", + "Ġsc ore", + "ĠD iv", + "Ġcell s", + "Ġtrans l", + "Ġneigh bor", + "Ġrem ove", + "u ct", + "Ġdist rict", + "ĠA ccording", + "Ġwor se", + "Ġconcern s", + "Ġpresident ial", + "Ġpolic ies", + "ĠH all", + "7 3", + "Ġh us", + "A Y", + "Ġ200 6", + "ĠJ ud", + "Ġindepend ent", + "ĠJust ice", + "ili ar", + "pr int", + "igh ter", + "Ġprotect ion", + "z en", + "Ġsu dden", + "h ouse", + "ĠJ es", + "P R", + "ĠIn f", + "Ġb ul", + "Ġ _", + "ĠServ ice", + "ĠP R", + "Ġstr ategy", + "ff ect", + "Ġgirl s", + "Ġmiss ing", + "oy al", + "ĠTe am", + "ul ated", + "Ġd at", + "Ġpolit ics", + "ab or", + "A ccording", + "Ġspe ll", + "Ġg raph", + "ort hern", + "T C", + "A b", + "Ġlab or", + "is her", + "Ġk ick", + "ĠiT unes", + "Ġstep s", + "pos es", + "Ġsmall er", + "E n", + "ber t", + "Ġro ll", + "Ġresear chers", + "Ġcl osed", + "Ġtrans port", + "Ġlaw y", + "________ ________", + "ĠCh icago", + "Ġas pect", + "Ġn one", + "Ġmar riage", + "9 6", + "Ġe lements", + "ĠF re", + "ĠS al", + "Ġd ram", + "F C", + "t op", + "e qu", + "Ġhe aring", + "Ġsupport ed", + "Ġtest ing", + "co hol", + "Ġmass ive", + "Ġst ick", + "Ġgu ard", + "is co", + "ph one", + "F rom", + "How ever", + "Ġb order", + "Ġcop y", + "ograph y", + "l ist", + "7 1", + "Ġown er", + "cl ass", + "ru it", + "r ate", + "ĠO nce", + "Ġdig ital", + "Ġt ask", + "ER S", + "Ġinc red", + "t es", + "+ +", + "ĠFr ance", + "Ġb reat", + "ow l", + "Ġiss ued", + "ĠW estern", + "Ġdet ect", + "Ġpart ners", + "Ġsh ared", + "ĠC all", + "Ġcan cer", + "ac he", + "rib e", + "Ġexpl ained", + "Ġhe at", + "{ \"", + "Ġinvest ment", + "ĠB ook", + "Ġw ood", + "Ġtool s", + "ĠAl though", + "Ġbelie f", + "Ġcris is", + "Ġg e", + "ĠM P", + "Ġoper ation", + "ty pe", + "~ ~", + "g a", + "Ġcont ains", + "ant a", + "Ġexp ress", + "ĠG roup", + "ĠJ ournal", + "k a", + "Ġam b", + "ĠUS A", + "Ġfind ing", + "Ġfund ing", + "h ow", + "Ġestab lished", + "ide os", + "Ġdeg ree", + "Ġdanger ous", + "ang ing", + "Ġfre edom", + "pp ort", + "out hern", + "Ġch urch", + "Ġc atch", + "ĠTw o", + "Ġpres ence", + "ĠGu ard", + "U p", + "Ġauthor ity", + "ĠPro ject", + "Ġbut ton", + "Ġcon sequ", + "Ġval id", + "Ġwe ak", + "Ġstart s", + "Ġref erence", + "ĠM em", + "\" )", + "U N", + "or age", + "ĠO pen", + "Ġcol lection", + "y m", + "g ency", + "Ġbeaut iful", + "ro s", + "Ġtell s", + "Ġwa iting", + "n el", + "Ġprov iding", + "ĠDemocr ats", + "Ġd aughter", + "Ġm aster", + "Ġpur poses", + "ĠJapan ese", + "Ġequ al", + "Ġturn s", + "Ġdoc uments", + "Ġwatch ing", + "R es", + "Ġr an", + "201 4", + "Ġre ject", + "ĠKore a", + "Ġvictim s", + "Le vel", + "ere nces", + "Ġw itness", + "Ġ3 4", + "Ġre form", + "com ing", + "Ġocc up", + "Ġc aught", + "Ġtra ffic", + "ad ing", + "Ġmod els", + "ar io", + "Ġserv ed", + "Ġb atter", + "u ate", + "ĠSecret ary", + "Ġagre ed", + "Ġtr uly", + "yn am", + "ĠR et", + "Ġun its", + "ĠRes earch", + "h and", + "az ine", + "ĠM ike", + "Ġvar iety", + "ot al", + "Ġam azing", + "Ġconfir med", + "Ġentire ly", + "Ġpurch ase", + "Ġe lement", + "Ġc ash", + "Ġdeter mine", + "D e", + "Ġc ars", + "ĠW all", + "â ĸ", + "Ġview s", + "Ġdrug s", + "Ġdep artment", + "ĠSt ep", + "u it", + "Ġ3 9", + "as ure", + "ĠCl ass", + "Ġc overed", + "ĠB ank", + "Ġme re", + "u ana", + "Ġmult i", + "Ġm ix", + "Ġun like", + "lev ision", + "Ġsto pped", + "Ġs em", + "ĠG al", + "ul es", + "Ġwe l", + "ĠJohn son", + "l a", + "Ġsk ill", + "Ġbec oming", + "ri e", + "Ġappropri ate", + "f e", + "ell ow", + "ĠPro t", + "ul ate", + "oc ation", + "Ġweek end", + "od ies", + "Ġsit es", + "Ġanim al", + "ĠT im", + "Ġsc ale", + "Ġcharg ed", + "Ġinst ruct", + "ill a", + "Ġmethod s", + "Ġc ert", + "Ġjud ge", + "ĠH el", + "Ġdoll ars", + "Ġstand ing", + "ĠS qu", + "Ġdeb t", + "l iam", + "Ġdri ving", + "ĠS um", + "ĠEd ition", + "Ġal bum", + "and on", + "I F", + "ĠU k", + "6 3", + "ad er", + "Ġcommer cial", + "es h", + "ĠGovern ment", + "Ġdisc overed", + "Ġout put", + "ĠHill ary", + "ĠCar ol", + "Ġ200 5", + "Ġab use", + "anc ing", + "Ġsw itch", + "Ġann ual", + "T w", + "Ġst ated", + "ag ement", + "in ner", + "Ġdem ocr", + "Ġres idents", + "Ġallow ing", + "Ġfact ors", + "od d", + "Ġf uck", + "em ies", + "Ġoccur red", + "ot i", + "Ġn orth", + "ĠP ublic", + "Ġinj ury", + "Ġins urance", + "C L", + "oll y", + "ã Ģ", + "Ġrepe ated", + "Ġar ms", + "ang ed", + "Ġconst ruction", + "Ġf le", + "P U", + "ic ians", + "Ġfor ms", + "ĠMc C", + "ant ic", + "Ġm ental", + "p ire", + "Ġequ ipment", + "Ġf ant", + "Ġdiscuss ion", + "Ġregard ing", + "k in", + "ar p", + "Ġch air", + "og ue", + "Ġpro ceed", + "ĠI d", + "O ur", + "Ġmur der", + "M an", + "Ġ4 9", + "as p", + "Ġsupp ly", + "Ġin put", + "Ġwe alth", + "liam ent", + "Ġpro ced", + "or ial", + "ĠSt at", + "ĠN FL", + "hen s", + "ĠInst itute", + "Ġput ting", + "ourn ament", + "et ic", + "Ġloc ated", + "Ġk id", + "er ia", + "r un", + "Ġpr inc", + "Ġ !", + "go ing", + "ĠB et", + "Ġcl ot", + "Ġtell ing", + "Ġprop osed", + "i ot", + "or ry", + "Ġfund s", + "g ment", + "ĠL ife", + "Ġb aby", + "ĠB ack", + "Ġsp oke", + "Im age", + "Ġear n", + "ĠA T", + "g u", + "Ġex change", + "ĠL in", + "ov ing", + "Ġp air", + "M ore", + "az on", + "Ġarrest ed", + "Ġkill ing", + "c an", + "ĠC ard", + "y d", + "Ġident ified", + "Ġm obile", + "Ġthan ks", + "ony m", + "ĠF orm", + "Ġhundred s", + "ĠCh ris", + "ĠC at", + "Ġtre nd", + "h at", + "ĠA v", + "om an", + "Ġelect ric", + "ĠW il", + "S E", + "O f", + "Ġrest aur", + "ot ed", + "Ġtr ig", + "Ġn ine", + "Ġb omb", + "Wh y", + " ¯", + "Ġco verage", + "Ġapp eal", + "ĠRober t", + "ĠS up", + "Ġfin ished", + "Ġfl ow", + "Ġdel iver", + "Ġcal cul", + "Ġphot os", + "Ġph il", + "Ġpie ces", + "Ġapp re", + "k es", + "Ġr ough", + "D o", + "Ġpart ner", + "Ġconcern ed", + "Ġ3 7", + "ĠG en", + "C ol", + "ct ors", + "Ġ= >", + "st ate", + "Ġsuggest ed", + "ĠFor ce", + "C E", + "Ġher self", + "ĠPl an", + "w orks", + "o oth", + "ren cy", + "Ġcor ner", + "Ġhus band", + "Ġintern et", + "ĠA ut", + "em s", + "os en", + "ĠAt l", + "g en", + "Ġbal ance", + "6 2", + "Ġsound s", + "te xt", + "Ġar r", + "ov es", + "Ġmill ions", + "Ġrad io", + "Ġsat isf", + "ĠD am", + "M r", + "G o", + "S pe", + "Ġcomb at", + "r ant", + "ĠG ree", + "Ġf uel", + "Ġdist ance", + "Ġtest s", + "Ġdec re", + "ĠE r", + "Ġman aged", + "D S", + "Ġt it", + "Ġmeas ures", + "ĠL iber", + "Ġatt end", + "as hed", + "ĠJ ose", + "ĠN ight", + "d it", + "ĠN ov", + "ĠE nd", + "out s", + "Ġgener ation", + "Ġadv oc", + "y th", + "Ġconvers ation", + "ĠS ky", + "act ive", + "ce l", + "ri er", + "ĠFr ank", + "Ġg ender", + "Ġcon cent", + "Ġcar ried", + "and a", + "ĠV irgin", + "Ġarri ved", + "ic ide", + "ad ed", + "Ġfail ure", + "Ġmin imum", + "le ts", + "Ġwor st", + "Ġkeep ing", + "Ġint ended", + "Ġilleg al", + "Ġsub sc", + "Ġdetermin ed", + "Ġtri p", + "Y es", + "Ġra ise", + "Ġ ~", + "Ġfeel s", + "Ġpack age", + "ĠJ o", + "h i", + "201 6", + "re al", + "Ġf ra", + "Ġsy mb", + "M e", + "uck y", + "p ret", + "ĠK h", + "ĠEd it", + "ĠWe b", + "em ic", + "ĠCol or", + "Ġjust ice", + "I nt", + "Ġfar m", + "ck now", + "\" >", + "el ess", + "Ġredu ced", + "Ġ5 00", + "x x", + "ĠR ad", + "ĠW ood", + "Ġcl in", + "Ġhy p", + "il er", + "ur a", + "k ins", + "8 5", + "6 1", + "ĠThe ir", + "ĠM ary", + "Ġs an", + "Ġno vel", + "ĠWh o", + "Ġcap acity", + "Ġimp ossible", + "Ġpl ays", + "Ġmin ister", + "ij uana", + "ic ate", + "ĠS et", + "Ġf ram", + "Ġ ing", + "Ġcommun ities", + "ĠF BI", + "it a", + "Ġb on", + "Ġstr ateg", + "Ġinterest s", + "l ock", + "g ers", + "m as", + "ĠAN D", + "Ġconflic t", + "Ġrequire ments", + "Ġs ac", + "Ġoper ating", + "in i", + "rel ated", + "Ġcomm itted", + "Ġrelative ly", + "Ġs outh", + "¯ ¯", + "Ġaff ord", + "Ġident ity", + "Ġdec isions", + "Ġacc used", + "pl ace", + "Ġvict ory", + "o ch", + "i at", + "N ame", + "C om", + "t ion", + "ed s", + "Ġsee k", + "Ġt ight", + "ĠIm ages", + "Ġinit i", + "Ġhum ans", + "Ġfam iliar", + "Ġaud ience", + "Ġintern al", + "vent ure", + "Ġs ides", + "ĠT O", + "Ġd im", + "Ġcon clud", + "Ġapp oint", + "Ġenforce ment", + "ĠJ im", + "ĠAssoci ation", + "Ġcircum st", + "ĠCanad ian", + "Ġjo ined", + "Ġdiffere nces", + "ĠL os", + "Ġprot est", + "Ġtw ice", + "w in", + "Ġgl ass", + "ars h", + "ĠAr my", + "Ġexp ression", + "Ġdec ide", + "Ġplan ning", + "an ia", + "Ġhand le", + "ĠMicro soft", + "ĠN or", + "Ġmax imum", + "ĠRe v", + "Ġse a", + "Ġev al", + "Ġhel ps", + "re f", + "Ġb ound", + "Ġm outh", + "Ġstand ards", + "Ġcl im", + "ĠC amp", + "ĠF ox", + "cl es", + "Ġar my", + "ĠTe chn", + "ack ing", + "x y", + "S S", + "Ġ4 2", + "Ġbu g", + "ĠUk rain", + "ĠM ax", + "ĠJ ones", + "ĠSh ow", + "l o", + "Ġplan et", + "Ġ7 5", + "Ġwin ning", + "Ġf aster", + "Ġspe ct", + "Ġbro ken", + "T R", + "Ġdef ined", + "Ġhealth y", + "Ġcompet ition", + "htt ps", + "ĠIs land", + "ĠF e", + "Ġannoun ce", + "ĠC up", + "ĠInst ead", + "Ġcl ient", + "Ġposs ibly", + "se ction", + "ock et", + "l ook", + "Ġfin ish", + "Ġcre w", + "Ġres erv", + "Ġed itor", + "Ġh ate", + "Ġs ale", + "Ġcontro vers", + "Ġp ages", + "w ing", + "Ġnum er", + "Ġopp osition", + "Ġ200 4", + "Ġref uge", + "Ġfl ight", + "Ġap art", + "ĠL at", + "A meric", + "ĠAfric a", + "Ġapplic ations", + "ĠPal est", + "ĠB ur", + "Ġg ar", + "ĠSoc ial", + "Ġup gr", + "Ġsh ape", + "Ġspe aking", + "ans ion", + "a o", + "ĠS n", + "Ġwor ry", + "ĠBrit ain", + "P lease", + "rou d", + "Ġh un", + "Ġintrodu ced", + "Ġd iet", + "I nd", + "ĠSec ond", + "Ġfun ctions", + "ut s", + "ĠE ach", + "ĠJe ff", + "Ġst ress", + "Ġaccount s", + "Ġgu arant", + "ĠAn n", + "ed ia", + "Ġhon est", + "Ġt ree", + "ĠAfric an", + "ĠB ush", + "} ,", + "Ġs ch", + "ĠOn ly", + "Ġf if", + "ig an", + "Ġexerc ise", + "ĠEx p", + "Ġscient ists", + "Ġlegisl ation", + "ĠW ork", + "ĠS pr", + "à Ĥ", + "ĠH uman", + "Ġ è", + "Ġsur vey", + "Ġr ich", + "ri p", + "Ġmain tain", + "Ġfl o", + "Ġleaders hip", + "st ream", + "ĠIslam ic", + "Ġ 01", + "ĠCol lege", + "Ġmag ic", + "ĠPr ime", + "Ġfig ures", + "201 7", + "ind er", + "x ual", + "ĠDe ad", + "Ġabsolute ly", + "Ġfour th", + "Ġpresent ed", + "resp ond", + "rib le", + "Ġal cohol", + "at o", + "ĠD E", + "por ary", + "Ġgr ab", + "Ġvar i", + "Ġqu ant", + "ĠPh oto", + "Ġpl us", + "r ick", + "ar ks", + "Ġaltern ative", + "Ġp il", + "Ġappro x", + "th at", + "Ġobject s", + "ĠR o", + "ĠAnd roid", + "Ġsignificant ly", + "ĠR oad", + "k ay", + "R ead", + "av or", + "Ġa cknow", + "ĠH D", + "ĠS ing", + "O r", + "ĠM ont", + "Ġun s", + "pro f", + "Ġneg oti", + "ĠAr ch", + "ik i", + "Ġte levision", + "ĠJew ish", + "Ġcomm ittee", + "Ġmot or", + "Ġappear ance", + "Ġs itting", + "Ġstri ke", + "ĠD own", + "com p", + "ĠH ist", + "Ġf old", + "ac ement", + "ĠLou is", + "Ġbel ong", + "ĠâĢ ¢", + "Ġm ort", + "Ġprep ared", + "Ġ6 4", + "ĠM aster", + "Ġind eed", + "ĠD en", + "Ġre nt", + "T A", + "our ney", + "ar c", + "S u", + "9 7", + "Ġadv ice", + "Ġchang ing", + "Ġlist ed", + "Ġlaun ched", + "is ation", + "ĠP eter", + "is hes", + "Ġl ived", + "ĠM el", + "ĠSup reme", + "ĠF ederal", + "Ġ) ;", + "ruct ure", + "Ġset s", + "Ġphil os", + "u ous", + "Ġ ł", + "Ġappl ied", + "ĠN OT", + "Ġhous ing", + "ĠM ount", + "Ġo dd", + "Ġsu st", + "D A", + "ffic ient", + "Ġ ?", + "ol ved", + "Ġp owers", + "Ġth r", + "Ġrem aining", + "ĠW ater", + "L C", + "Ġca uses", + "ãģ ®", + "Ġman ner", + "ad s", + "Ġsuggest s", + "Ġend s", + "stand ing", + "f ig", + "ĠD un", + "id th", + "Ġg ay", + "Ġter min", + "ĠAngel es", + "M S", + "Ġscient ific", + "Ġco al", + "ap ers", + "b ar", + "ĠThom as", + "Ġsy m", + "ĠR un", + "th is", + "P C", + "igr ants", + "Ġmin ute", + "ĠDist rict", + "cell ent", + "Ġle aves", + "Ġcomple ted", + "am in", + "Ġfoc used", + "Ġmon itor", + "Ġveh icles", + "M A", + "ĠM ass", + "ĠGr and", + "Ġaffect ed", + "itution al", + "Ġconst ruct", + "Ġfollow s", + "Ġt on", + "re ens", + "Ġh omes", + "ĠE xt", + "ĠLe vel", + "r ast", + "ĠI r", + "Ġel im", + "Ġlarge ly", + "ĠJ oe", + "Ġvot es", + "all s", + "Ġbusiness es", + "ĠFound ation", + "ĠCent ral", + "Ġy ards", + "Ġmaterial s", + "ul ner", + "Ġgu ide", + "Ġclos er", + "um s", + "Ġsp orts", + "ed er", + "J ust", + "Ġtax es", + "8 4", + "ĠO ld", + "Ġdec ade", + "ol a", + "Ġv ir", + "Ġdro pped", + "Ġdel ay", + "it ect", + "Ġsec ure", + "ste in", + "le vel", + "Ġtre ated", + "Ġfil ed", + "ain e", + "Ġv an", + "Ġm ir", + "Ġcol umn", + "ict ed", + "e per", + "Ġro t", + "Ġcons ult", + "Ġent ry", + "Ġmar ijuana", + "ĠD ou", + "Ġapparent ly", + "ok ing", + "clus ive", + "Ġincre ases", + "an o", + "Ġspecific ally", + "Ġte le", + "ens ions", + "Ġrelig ion", + "ab ilities", + "Ġfr ame", + "ĠN ote", + "ĠLe e", + "Ġhelp ing", + "Ġed ge", + "ost on", + "Ġorgan izations", + "à ĥ", + "ĠB oth", + "hip s", + "Ġbig ger", + "Ġbo ost", + "ĠSt and", + "Ġro w", + "ul s", + "ab ase", + "Ġr id", + "L et", + "are n", + "ra ve", + "Ġst ret", + "P D", + "Ġv ision", + "Ġwe aring", + "Ġappre ci", + "Ġa ward", + "ĠU se", + "Ġfact or", + "w ar", + "ul ations", + ") (", + "Ġg od", + "Ġter rit", + "Ġpar am", + "ast s", + "8 7", + "Ġen emies", + "ĠG ames", + "F F", + "Ġacc ident", + "W ell", + "ĠMart in", + "T ER", + "Ġat h", + "ĠHe ll", + "Ġfor g", + "Ġve ter", + "ĠMed ic", + "f ree", + "Ġst ars", + "Ġexp ensive", + "Ġac ad", + "ra wn", + "ĠW he", + "Ġl ock", + "Ġform at", + "Ġsold iers", + "s m", + "Ġag ent", + "Ġrespons ibility", + "or a", + "ĠS cience", + "Ġrap id", + "Ġt ough", + "ĠJes us", + "Ġbelie ves", + "M L", + "Ġwe ar", + "le te", + "Ãĥ ÃĤ", + "ĠD ri", + "Ġcomm ission", + "ĠB ob", + "O h", + "ap ed", + "Ġwar m", + "ÃĥÃĤ ÃĥÃĤ", + "Ġ200 3", + "ort ion", + "Ġhas n", + "ust er", + "Ġun ivers", + "ĠI ll", + "Ġk ing", + "olog ies", + "9 4", + "ĠT em", + "ĠM os", + "Ġpat ient", + "ĠMex ico", + "ce an", + "ĠDe ath", + "ĠSand ers", + "y ou", + "ĠC ast", + "ĠComp any", + "pt y", + "Ġhappen ing", + "F P", + "ĠB attle", + "Ġb ought", + "A m", + "M od", + "U s", + "ut ers", + "ĠC re", + "ĠTh ose", + "Ġ4 4", + "is er", + "Ġs oul", + "ĠT op", + "ĠHar ry", + "ĠA w", + "Ġse at", + "ff ee", + "Ġrev olution", + "Ġ( \"", + "ĠD uring", + "et te", + "Ġr ing", + "Ġoff ensive", + "Ġreturn s", + "Ġv ideos", + "Ġdis cl", + "Ġfam ous", + "en ced", + "ĠS ign", + "ĠR iver", + "Ġ3 00", + "P M", + "ĠB us", + "ĠC H", + "Ġcandid ates", + "ard en", + "Ġpercent age", + "Ġvis ual", + "Ġthan k", + "Ġtrou ble", + "ner gy", + "Ġ200 1", + "Ġpro ve", + "ash ion", + "Ġen h", + "ĠL ong", + "U M", + "Ġconnect ed", + "Ġposs ibility", + "O ver", + "Ġexper t", + "Ġl ibrary", + "art s", + "ĠDirect or", + "Ġfell ow", + "9 2", + "ir ty", + "Ġd ry", + "Ġsign s", + "ĠL ove", + "Ġqu iet", + "f oot", + "Ġp ure", + "ĠH un", + "Ġf illed", + "ph as", + "ĠE lect", + "end ment", + "ĠEx pl", + "Ġun able", + "n s", + "m o", + "Ġv ast", + "ob e", + "Ġident ify", + "app ing", + "ĠCarol ina", + "g ress", + "Ġpro te", + "Ġf ish", + "Ġcircumst ances", + "raz y", + "ĠPh ot", + "Ġb odies", + "ĠM ur", + "Ġdevelop ing", + "ĠA R", + "Ġexperien ced", + "Ġsubst ant", + "ĠBo ard", + "es ome", + "Ġdom estic", + "Ġcomb ined", + "ĠP ut", + "Ġchem ical", + "ĠCh ild", + "Ġpo ol", + "ĠC y", + "Ġe gg", + "c ons", + "st ers", + "Ġh urt", + "Ġmark ets", + "Ġconserv ative", + "Ġsupp orters", + "Ġag encies", + "id el", + "O b", + "ur b", + "Ġ4 3", + "ĠDef ense", + "y e", + "ĠA p", + "du le", + "Ġtemper ature", + "Ġconduct ed", + "ĠCh ief", + "Ġpull ed", + "Ġf ol", + "L ast", + "ont o", + "os is", + "V ER", + "D es", + "ĠP an", + "F irst", + "Ġadv ance", + "Ġlic ense", + "r ors", + "ĠJ on", + "Ġimag ine", + "Ġhe ll", + "Ġf ixed", + "Ġinc or", + "os ite", + "ĠL og", + "ick en", + "] :", + "Ġsurpr ise", + "h ab", + "Ġc raft", + "ol t", + "ĠJ ul", + "Ġd ial", + "Ġrele vant", + "Ġent ered", + "Ġlead s", + "ĠA D", + "ĠCle an", + "Ġpict ures", + "ess or", + "Ġal t", + "Ġpay ing", + "P er", + "ĠMark et", + "Ġupd ates", + "am ily", + "ĠT ype", + "ĠH ome", + "Ġ5 5", + "semb ly", + "rom e", + "8 3", + "Ġgreat est", + "Ġhe ight", + "Ġhe av", + "ain ts", + "Ġlist en", + "as er", + "ĠS H", + "Ġcap able", + "ac le", + "Ġpers pect", + "in ating", + "Ġoff ering", + "ry pt", + "ĠDe velop", + "ab in", + "r c", + "Ġbr ight", + "al ty", + "ar row", + "Ġsupp l", + "ind ing", + "ack ed", + "gy pt", + "ĠAn other", + "p g", + "ĠVirgin ia", + "ĠL u", + "Ġpl anned", + "Ġp it", + "Ġswe et", + "T ype", + "ĠD i", + "Ġtyp ically", + "ĠFranc isco", + "Ġpro spect", + "ĠD an", + "Ġte en", + "re es", + "Ġsc hed", + "Ġh ol", + "Ġsc r", + "Ġlot s", + "l ife", + "Ġnews p", + "Ġfor get", + "ĠN one", + "ĠM iddle", + "ĠR yan", + "ed d", + "Ġse vere", + "Ġsu it", + "ll er", + "9 3", + "Ġcor respond", + "Ġexpl os", + "u ations", + "Ġfl ag", + "g ame", + "r id", + "Ġpr in", + "ĠD ata", + "Ġde ploy", + "ĠEn ter", + "su it", + "gh an", + "ĠM en", + "Ġthough ts", + "Ġmat ters", + "Ġad apt", + "ĠA ri", + "Ġf ill", + "Ġfor th", + "Ġs am", + "Ġ4 1", + "Ġpay ment", + "ĠH or", + "Ġsp ring", + "du c", + "Ġl osing", + "Ġbring ing", + "F O", + "al a", + "Ġdist ribution", + "he red", + "b our", + "ĠIsrael i", + "om a", + "Ġcomb ination", + "Ġpl enty", + "V E", + "C an", + "ĠH aw", + "Ġper man", + "ĠSpe cial", + "Ġto w", + "Ġsee king", + "Ġexam ples", + "Ġclass es", + "c r", + "Ġbe er", + "Ġmov es", + "ĠI P", + "ĠK n", + "Ġpan el", + "E ven", + "Ġproper ly", + "Ġr is", + "Ġpl ug", + "Ġestim ated", + "E very", + "Ġdef ensive", + "ag raph", + "Ġpre gn", + "Ġinst it", + "ĠV ict", + "Ġvol ume", + "Ġpos itions", + "Ġl inks", + "ĠPro gram", + "ĠWe ek", + "ag ues", + "Ġtrans form", + "k er", + "ĠC EO", + "Ġc as", + "Ġopp onent", + "Ġtwe et", + "ĠC ode", + "Ġsh op", + "Ġf ly", + "Ġtal ks", + "Ġb ag", + "Ph one", + "Ġa id", + "Ġpl ants", + "Ġ6 5", + "Ġatt orney", + "ar ters", + "qu est", + "ĠMag ic", + "Ġbeg ins", + "Ġmy ster", + "Ġenvironment al", + "Ġst orage", + "N N", + "Ġm arg", + "Ġs ke", + "Ġmet al", + "ell y", + "Ġord ered", + "Ġrem ained", + "Ġl oved", + "Ġprom pt", + "Ġupd ated", + "Ġexper ts", + "Ġwalk ing", + "Ġan cient", + "Ġperform ed", + "AT E", + "Ġne ither", + "i ency", + "Ġmanufact ure", + "ĠP ak", + "Ġselect ed", + "Ġm ine", + "Ġult imately", + "Ġexpl an", + "Ġlab el", + "ĠServ ices", + "ribut ed", + "Tr ump", + "Ġsy n", + "ĠU lt", + "S C", + "Ġme at", + "Ġg iant", + "ĠW ars", + "ĠO N", + "Ġad m", + "Ġinter pret", + "Ġeven ing", + "Ġev il", + "ĠB oston", + "ĠW ild", + "Ġ Ã", + "ĠBit coin", + "ĠAm azon", + "D r", + "ĠIn formation", + "Ġobvious ly", + "Ġadv anced", + "Ph oto", + "ol ar", + "Ġwe ather", + "Ġsymb ol", + "Ġso le", + "Ġpot entially", + "ost er", + "Ġorig inally", + "m un", + "3 00", + "az e", + "ess ions", + "Ġde ck", + "Ġst ood", + "Ġyou th", + "ĠB ern", + "R ep", + "ĠT est", + "Ġbas ically", + "ot ic", + "Ġinvol ve", + "ol it", + "ly n", + "S ee", + "Ġair craft", + "Ġconf irm", + "E W", + "Ġmess ages", + "ĠRich ard", + "Ġk it", + "Ġpro hib", + "Ġv ulner", + "is ters", + "Ġexist ence", + "Ġturn ing", + "ĠS P", + "Ġdes ire", + "Ġfl at", + "Ġm ent", + "se ason", + "ang es", + "Ġneighbor hood", + "ĠL ake", + "AT ION", + "Ġpoint ed", + "b ur", + "Ġinn ov", + "uc ks", + "U L", + "Ġprofess or", + "Ġexp ressed", + "A B", + "ic ious", + "Ġ200 2", + "ĠDe v", + "Ġs ession", + "Ġb are", + "s en", + "Ġdis s", + "ĠC ath", + "ĠP ass", + "ĠP oint", + "Ġdo ctor", + "or row", + "ail ed", + "ĠR ub", + "ĠD C", + "ĠChar l", + "p erson", + "Ġwrit er", + "igh ters", + "ure au", + "Ġob lig", + "Ġrecord ed", + "Ġbro ke", + "Ġord ers", + "il ty", + "Ġmot ion", + "in ity", + "l aw", + "ad ium", + "Ġimm igration", + "Ġcontr ast", + "Ġb att", + "Ġex cellent", + "Ġtechn ical", + "am i", + "Ġt un", + "Ġcl oud", + "ĠY ear", + "ge on", + "Ġcre ation", + "Ġstr ange", + "Ġa uth", + "Ġfor t", + "b orn", + "Ġext ent", + "ĠT oday", + "ĠCl ub", + "Ġr ain", + "Ġs ample", + "Ġaccept ed", + "Ġt act", + "Ġf ired", + "ĠS on", + "Ġstand s", + "Ġb oot", + "Ġ4 7", + "Ġstat ements", + "Ġvers ions", + "Ġse lling", + "ound ed", + "Ġ199 0", + "Ġwere n", + "ĠW atch", + "Ġexper iment", + "P ost", + "Ġret ail", + "ul ed", + "In st", + "un te", + "ãĥ ¼", + "Ġdep art", + "Ġb ond", + "i very", + "om pl", + "Ġre action", + "ĠSyri an", + "ĠP ac", + "app ed", + "ani el", + "D P", + "Ġres olution", + "Ġre act", + "Ġappro ved", + "on om", + "m ond", + "ĠO ffic", + "-- -", + "Ġrepl ace", + "Ġt ack", + "Ġsp ort", + "Ġch ain", + "Ġemer gency", + "r ad", + "ĠPalest in", + "Ġ4 6", + "Ġautom atically", + "Ġrout e", + "Ġp al", + "Ġb anks", + "ĠPar is", + "ĠMed ia", + "ro ad", + "ic ing", + "i xt", + "ist ed", + "Ġg rew", + "Ġco ord", + "ĠW here", + "om in", + "Ġsub s", + "� �", + "Ġ ±", + "Ġcorpor ate", + "Ġse lection", + "n oon", + "ĠRep ort", + "c s", + "clud ing", + "ord ers", + "anc he", + "ĠIt s", + "Ġslow ly", + "ĠE gypt", + "ĠA cc", + "Ġcol le", + "iqu es", + "E X", + "Ġattempt s", + "ur l", + "ĠC ross", + "Ġfind ings", + "ĠS C", + "ĠO R", + "Ġind ex", + "ens ity", + "ĠW ay", + "ĠL and", + "Ġsh ock", + "d is", + "Ġd ynam", + "Ġc art", + "m osp", + "S ince", + "i est", + "ĠB oy", + "Ġst orm", + "ĠCont in", + "201 3", + "he w", + "il it", + "Ġess ential", + "iqu id", + "O ther", + "ive red", + "Ġreason able", + "A ct", + "Ġsub sequ", + "ĠP ack", + "ĠF ort", + "Ġconsider ing", + "Ġun iversity", + "l og", + "Ġmar ried", + "Ġill ust", + "ĠTr ue", + "£ ı", + "Ġnumer ous", + "rast ructure", + "Ġserious ly", + "Ġrefer red", + "u a", + "Ġconsist ent", + "on na", + "ĠRe al", + "ru ption", + "ci ples", + "Ġfact s", + "9 1", + "ot es", + "er g", + "The n", + "Ġacc ompl", + "N ote", + "Ġre venue", + "Ġpass ing", + "Ġm al", + "e en", + "ĠY et", + "Ġg ather", + "ter day", + "ew ork", + "ĠA uthor", + "P e", + "Ġopt im", + "Ġr ub", + "Ġè £ı", + "Ġun known", + "st one", + "Ġun ion", + "ol ve", + "Ġopportun ities", + "Ġbrow ser", + "ĠW al", + "ĠC ost", + "Ġreport ing", + "st s", + "p et", + "Ġs and", + "Ġsudden ly", + "Ġsurpr ising", + "ĠV R", + "Ġsomew hat", + "ĠB as", + "ult ure", + "iz z", + "ĠC D", + "Ġchalleng es", + "Ġsett ings", + "Ġexperien ces", + "ĠF ull", + "Ġcan n", + "Ġrece iving", + "ES T", + "Ġj oint", + "Ġcult ural", + "Ġa st", + "8 2", + "as tern", + "ce ived", + "ĠC ru", + "Ġb ull", + "p ired", + "am m", + "Ġfac ing", + "p ower", + "Ġb oss", + "ĠH ol", + "Ġinst r", + "Ġincreasing ly", + "Ġsh ift", + "Ġstre ets", + "ĠWilliam s", + "ab b", + "Ġl ie", + "Ġl augh", + "ĠC a", + "P L", + "Ġadult s", + "Ġcustom er", + "Ġob tained", + "Ġsupport ing", + "ht ml", + "f ire", + "Ġdetail ed", + "Ġpick ed", + "ĠR ight", + "ld er", + "E E", + "st ood", + "ĠK im", + "Ġw ire", + "Ġs ight", + "Ġdevelop ers", + "Ġpers ons", + "Ġs ad", + "Ġc up", + "Ġwar ning", + "Ġboy s", + "l ong", + "Ġb ird", + "f o", + "Ġw al", + "Ġobserv ed", + "Ġz one", + "iven ess", + "Ġch annel", + "c ript", + "Ġref used", + "ĠAg ain", + "Ġsu c", + "Ġspokes man", + "ĠRe f", + "r ite", + "ou ston", + "ãĥ ³", + "ĠS her", + "Ġact s", + "ĠN ame", + "Ġstrugg le", + "ar ry", + "omet imes", + "Ġdisc rim", + "H T", + "Ġcateg ory", + "Ġreal ize", + "Ġemploy ee", + "ĠAf ghan", + "en ger", + "Ġgun s", + "ĠSte ve", + "ĠM ot", + "ĠO l", + "ok ed", + "Ġth ick", + "Ġfair ly", + "ill y", + "Ġsur ve", + "ĠM at", + "we ight", + "â Ķ", + "Ġtro ops", + "Ġag ents", + "Ġbatter y", + "Ġmot iv", + "à ¡", + "S ec", + "d en", + "o very", + "L S", + "Ġfl u", + "Ġconf ident", + "ĠO per", + "Ġem pty", + "Ġp hen", + "Ġse ctor", + "Ġexc ited", + "Ġrem ote", + "ap h", + "o en", + "Ġdestroy ed", + "Ġmor al", + "ĠH P", + "ĠR on", + "Ġd ress", + "ĠB at", + "Ġl it", + "ĠM S", + "Ġa f", + "H L", + "r um", + "is ms", + "Ġshould n", + "Ġsym pt", + "ĠTor onto", + "het ic", + "Ġcar bon", + "Ġinstall ed", + "Ġviol ent", + "Ġsol ar", + "j a", + "Ġpract ices", + "Ġr ide", + "ĠP enn", + "Ġimpro ved", + "Ġaud io", + "Ġbehav i", + "ĠP S", + "Ġe ating", + "D ata", + "ĠRe view", + "p ass", + "cl aim", + "u ated", + "ang ers", + "c hen", + "Ġproper ties", + "Ġany where", + "An other", + "Ġbl ow", + "ĠJack son", + "Ġp roud", + "Ġplan e", + "l ines", + "Ġsqu are", + "Ġpro of", + "ans as", + "Ġtalk ed", + "m akers", + "Ġs ister", + "Ġhold s", + "Ġres ident", + "Ġ= =", + "Ġresist ance", + "Ġspl it", + "Ġpro secut", + "Ġconf idence", + "res ents", + "Ġcut s", + "Ġexcept ion", + "Ġz ero", + "Get ty", + "Ġcop yright", + "Ġtot ally", + "orm al", + "ific ations", + "ĠAustral ian", + "Ġs ick", + "Ġ1 50", + "Ġhouse hold", + "Ġfe es", + "Ġdri vers", + "og en", + "ĠN Y", + "Ġnecess arily", + "Ġregul ations", + "ear ing", + "s l", + "Ġperspect ive", + "c are", + "ic ial", + "H is", + "Ġesc ape", + "Ġsurpr ised", + "ĠV an", + "ur rent", + "Ġv ac", + "8 1", + "ĠTh us", + "Ġem phas", + "ĠCh ampions", + "ĠI ce", + "Ġn arr", + "Ġhead s", + "Ġca using", + "b el", + "f ortunately", + "ĠM a", + "Ġtarg ets", + "ci pl", + "Ġafter noon", + "Ġadd s", + "ĠMay be", + "ĠF our", + "ess ed", + "ple te", + "Ġus ual", + "ch o", + "ing u", + "Ġwith d", + "ĠE nergy", + "ĠE conom", + "O O", + "Ġart icles", + "Ġinj ured", + "Ġman age", + "Ġexpl ains", + "Ġdi agn", + "R ec", + "at ures", + "Ġlink ed", + "Ġdiscuss ed", + "Ġexpl o", + "Ġocc asion", + "ath an", + "Ġopp osite", + "Ġfac es", + "Ġden ied", + "ĠK night", + "Ġn ut", + "Ġapprox imately", + "Ġdisapp oint", + "onym ous", + "ĠB est", + "ĠL o", + "ĠH y", + "ĠA ff", + "Ġvot ing", + "an while", + "ĠII I", + "Ġinstit utions", + "ag ram", + "ĠD aily", + "Ġdr ag", + "Ġnear by", + "Ġgu ilty", + "Ġcon ver", + "P re", + "s hip", + "Ġre ward", + "Ġphilos oph", + "ĠS S", + "u gh", + "Ġapp s", + "f riend", + "Ġu pper", + "Ġad vert", + "Ġs now", + "Ġfr ust", + "Ġour selves", + "F r", + "ĠD ie", + "amp ion", + "Ġdis miss", + "Ġc ere", + "Ġsign al", + "f rom", + "Ġ ).", + "Ġ5 2", + "Ġcr imes", + "it ors", + "est ival", + "use um", + "Ġcoun cil", + "ĠS aud", + "M ay", + "ĠG un", + "ic ian", + "et her", + "Ġsu fficient", + "ĠH en", + "so le", + "Ġhistor ical", + "ĠF ar", + "ĠT urn", + "Ġp in", + "Ġsuc ceed", + "m at", + "ly mp", + "Ġtrad ition", + "ĠO k", + "Ġc ro", + "Ġdesc ription", + "al le", + "Ġsk y", + "T e", + "Ġwide ly", + "Ġw ave", + "Ġdefin ition", + "ĠJew s", + "Ġcy cle", + "Ġref ere", + "Ġbr ings", + "us al", + "Ġal ive", + "Ġfrequ ently", + "Ġint ention", + "ĠCont rol", + "l v", + "y stem", + "Ġpriv acy", + "g ent", + "ren ce", + "ĠQu est", + "ĠChrist mas", + "Ġr ail", + "Ġco oper", + "Ġtest ed", + "ĠC apt", + "as ks", + "Ġcomfort able", + "Ġdel ivered", + "sc ape", + "Ġdep th", + "ĠG OP", + "Ġwrit es", + "Ġass ets", + "Ġsa v", + "im ents", + "Ġtrans ition", + "Ġart ist", + "ĠL ook", + "Ġl ob", + "Ġcomp onents", + "ar ity", + "Ġwalk ed", + "Ġro ot", + "Ġparticip ants", + "Ġnot iced", + "Ġres c", + "Ġn av", + "ĠAd minist", + "d a", + "ut ral", + "pl ate", + "Ġimport ance", + "Ġass ert", + "ious ly", + "c ription", + "Ġinj uries", + "ĠChe ck", + "Ġregist ered", + "Ġint ent", + "Ġmiss ed", + "ograph ic", + "Ġsent ence", + "oun ter", + "Ġassist ance", + "ev in", + "Ġdat abase", + "Ġbuild ings", + "Ġclass ic", + "Ġth inks", + "ĠOh io", + "P r", + "ug g", + "Ġfe e", + "p an", + "Ġeffect ively", + "Ġfac ility", + "Ġbe ar", + "Ġch apter", + "Ġdog s", + "ĠCol umb", + "Ġl atter", + "it ial", + "Ġad mitted", + "T V", + "ĠGe org", + "Ġpost s", + "\\ \\", + "Ġlawy er", + "Ġequ ival", + "Ġm and", + "Ġcontro lled", + "ĠW alk", + "ĠAnd rew", + "Ġmen u", + "am ental", + "Ġprotect ed", + "v a", + "Ġadminist r", + "or al", + "Ġre in", + "ĠS ar", + "Ġamount s", + "Ġn ative", + "ĠM oon", + "Ġrep resents", + "Ġab andon", + "Ġcarry ing", + "Ġt ank", + "m ary", + "Ġdecl ared", + "T ube", + "Ġh at", + "Ġpun ish", + "el lect", + "m es", + "Ġun iverse", + "ĠR od", + "ph y", + "Ġinf rastructure", + "Ġ5 1", + "Ġopp osed", + "ow nt", + "c a", + "ĠM ake", + "Ġhard ware", + "Ġco ffee", + "R el", + "b al", + "w orld", + "ĠS af", + "ĠSe a", + "in als", + "Ġown ed", + "Ġh all", + "ers ion", + "Ġdescrib e", + "ĠP ot", + "Ġport ion", + "Ġat mosp", + "Ġgovern ments", + "Ġdep ending", + "Ġoff ense", + "Ġtr ick", + "aw a", + "ĠL ine", + "ĠV is", + "ĠH ard", + "ĠOr ig", + "ĠCl ick", + "Ġdes k", + "ĠVal ley", + "ĠS ov", + "Ġmov ies", + "Ġrem ark", + "Ġm ail", + "Ġcons cious", + "Ġrul ing", + "ĠR ights", + "Ġmed ic", + "he nt", + "ĠW omen", + "> <", + "Ġrepl aced", + "ĠP rem", + "ĠTh anks", + "Ġre new", + "ĠB all", + "if orm", + "Ġsh ots", + "C omm", + "Ġar med", + "Ġconst ant", + "Ġt aste", + "Ġreal ized", + "Ġbu ff", + "Ġm o", + "Ġeffic ient", + "M ost", + "or ation", + "if ies", + "Ġcommun ication", + "Ġfl ood", + "Ġconsequ ences", + "Ġany way", + "ig g", + "ĠG M", + "ĠTh ank", + "Ġ iron", + "Ġev olution", + "ĠC op", + "tw itter", + "Ġ9 5", + "Ġrelationship s", + "ad el", + "ĠYou ng", + "Ġpropos al", + "ay ers", + "uild ing", + "ĠH ot", + "OR E", + "c os", + "Ġcoll abor", + "P G", + "ax y", + "Ġknow ing", + "Ġsupport s", + "ow ed", + "Ġcontrol s", + "Ġmere ly", + "um er", + "Ġath let", + "Ġf ashion", + "p ath", + "Ġg ift", + "Ġer a", + "AN D", + "Ġkind s", + "ĠKore an", + "Ġleg it", + "ul ous", + "Ġess entially", + "Ġthe rap", + "n ic", + "Ġsuff ered", + "Ġh ur", + "Ġprom ise", + "Ġex cess", + "Ġover w", + "Ġpr ime", + "ĠH ouston", + "er ry", + "ĠM s", + "R S", + "201 2", + "Ġst ores", + "ĠO lymp", + "Ġj ourney", + "Al though", + "S ub", + "ĠE duc", + "ĠCh apter", + "Ġrequest s", + "Ġconsum ers", + "Ġt iny", + "Ġis ol", + "ĠF air", + "b a", + "ĠY OU", + "Ġcr ash", + "ce ler", + "Ġemot ional", + "Ġgood s", + "Ġelect ed", + "Ġmod er", + "ĠLin ux", + "Ġbl ocks", + "Ġis land", + "ĠSoc iety", + "Ġelect ions", + "Ġbroad cast", + "Ġche ap", + "Ġn ations", + "Ġse asons", + "4 00", + "Ġwas te", + "ĠS at", + "Ġfield s", + "em ploy", + "Ġprof ile", + "Ġauth ors", + "AL L", + "ĠG ra", + "w est", + "ĠT y", + "Ġdeath s", + "Ġv acc", + "Ġfor med", + "Ġd u", + "Ġon going", + "ĠMuslim s", + "el f", + "ig ure", + "Ġass ume", + "ĠUkrain e", + "w ater", + "Ġco ast", + "Ġvot ed", + "g or", + "ĠA S", + "ĠMich igan", + "az a", + "ĠAr m", + "i ro", + "Ġf lex", + "as ters", + "' '", + "Ġwel come", + "ar l", + "Ġloc ations", + "ig ation", + "ĠF il", + "Ġbu ying", + "Ġarch itect", + "Ġhard er", + "ĠC ub", + "Ġinter face", + "Ġrestaur ant", + "Ġdisco ver", + "Ġex ceed", + "Ġfav our", + "ger y", + "Ġd uty", + "Ġp itch", + "ad or", + "ĠM ach", + "b oy", + "Ġrespond ed", + "Ġext ended", + "her s", + "M any", + "ra id", + "if er", + "ĠIn s", + "S er", + "Ġmed ium", + "s he", + "ĠS ports", + "Ġmag azine", + "ut ation", + "Ġlim its", + "ĠG all", + "Ġex ternal", + "raz il", + "Ġyoung er", + "t le", + "Ġrem ind", + "ĠC ON", + "Ġimmedi ate", + "Ġh idden", + "Ġvol unte", + "Ġsim pl", + "od cast", + "Ġph ase", + "d r", + "Ġpl ot", + "Ġexp osure", + "R I", + "og rap", + "v in", + "an ish", + "ĠAc ad", + "ĠEng ine", + "Ġexp ansion", + "ĠP ay", + "Y our", + "Ġpus hed", + "ĠE ll", + "ĠHe ad", + "Ġmarket ing", + "ĠA C", + "k et", + "Ġh its", + "Ġg ro", + "ĠA ge", + "ĠSc ot", + "] [", + "Ġst im", + "Ġi Phone", + "Ī Ĵ", + "Ġn arrow", + "ĠGet ty", + "ĠTur key", + "Ġperfect ly", + "Ġen able", + "ut ch", + "Ġprec ise", + "Ġreg ime", + "Ġsh if", + "Ġcomp ens", + "g un", + "d iv", + "Ġch osen", + "ĠK en", + "An y", + "Ġtre es", + "Ġrecomm ended", + "ĠR en", + "u able", + "ĠH T", + "F ollow", + "E G", + "ĠH and", + "ĠK enn", + "Ġarg uments", + "Ġex ists", + "Ġb ike", + "ĠCons erv", + "Ġbre aking", + "ĠG ar", + "Ġc razy", + "Ġvirt ual", + "ay lor", + "ix el", + "Ġ19 80", + "Ġper mission", + "ĠSer ies", + "Ġconsum er", + "Ġclose ly", + "c alled", + "Ġ5 4", + "Ġhop es", + "Ġar ray", + "ĠW in", + "ĠLab our", + "Ġsp ons", + "ĠI re", + "Ġp ow", + "Ġread ers", + "Ġemploy ment", + "Ġcreat ure", + "Ġresult ing", + "Ġaccur ate", + "Ġmom ents", + "Ġarg ued", + "Ġp ed", + "D uring", + "Ġ5 3", + "ĠT al", + "Ġs ought", + "Ġsuff ering", + "Ġ icon", + "le e", + "Ġ( $", + "al ian", + " °", + "Ġp ra", + "Ġbon us", + "( \"", + "k o", + "Ġact ing", + "D E", + "f all", + "Ġcompar ison", + "Ġsm ooth", + "ĠN AS", + "u pp", + "ĠJose ph", + "ep ing", + "ĠT ake", + "ĠM id", + "Ġs ending", + "f ast", + "ĠF all", + "Ġdeal ing", + "us er", + "ĠOr gan", + "C o", + "Ġatt ached", + "Ġse es", + "% .", + "Ġtyp ical", + "AR T", + "Ġfind s", + "ĠAs ia", + "um in", + "ĠC ore", + "ĠE nt", + "in ent", + "u ce", + "ĠBl ood", + "ĠN ever", + "Ġem ails", + "Ġhigh light", + "Ġconf ront", + "at us", + "ut ed", + "Ġun us", + "Ġtop ic", + "ĠAd am", + "Ġb le", + "at i", + "Ġunder stood", + "S et", + "st ruct", + "T P", + "Ġm ob", + "a a", + "ĠSt art", + "pect ed", + "se ll", + "Ġded icated", + "ĠC A", + "u an", + "Ġsong s", + "esc ription", + "Ġte ch", + "Ġr ape", + "Ġas ide", + "Ġgr ant", + "Ġ5 6", + "s ub", + "Ġarg ue", + "Ġcont aining", + "Ġsche dule", + "Ġliber al", + "Ġpublic ly", + "Ġheav ily", + "ĠU t", + "in er", + "ĠS ection", + "ĠC are", + "we et", + "l s", + "D is", + "âĶ Ģ", + "ĠF ollow", + "B ack", + "ĠI T", + "Ġb es", + "j i", + "ĠH it", + "est ed", + "Ġevery body", + "ĠSw ed", + "Ġfem in", + "Ġfac ilities", + "Ġcon ven", + "C omp", + "ĠO S", + "c ore", + "Ġan x", + "Ġdiv ision", + "ĠC am", + "ĠSt an", + "m ates", + "Ġexpl ore", + "pl om", + "Ġsh ares", + "pl oad", + "an es", + "Ġide al", + "et ers", + "ĠB ase", + "Ġpl astic", + "Ġdist inct", + "ĠNet work", + "ĠSe attle", + "Ġtrad ing", + "ens us", + "int end", + "Ġex hib", + "Ġinit ially", + "ĠF ood", + "Ġthous and", + "ĠBus iness", + "act er", + "Ġpar agraph", + "Ġrough ly", + "Ġw ww", + "Ġcreat ive", + "ĠCon f", + "Ġconsum ption", + "Ġfil ms", + "ag an", + "Ġob tain", + "Ġt all", + "Ġt or", + "Ġacknow led", + "Ġg rown", + "al o", + "K E", + "Ġ4 00", + "end ers", + "t aining", + "U G", + "Ġsu icide", + "Ġwat ched", + "ĠL ist", + "al i", + "re hens", + "Ġsurround ing", + "Ġp ip", + "Ġf lying", + "ĠJ ava", + "ord an", + "Ġserv ing", + "in ations", + "p ost", + "Ġsh o", + "A v", + "Ġj ail", + "z y", + "Ġ199 9", + "Ġ< /", + "Ġliter ally", + "ĠS ir", + "Ġexp osed", + "Ġl ies", + "st ar", + "Ġb at", + "Ġear ned", + "ĠD ig", + "Ġspec ified", + "ĠSe ason", + "Ġdeg rees", + "Don ald", + "Ġcent re", + "Ġsh aring", + "Ġwin ter", + "ĠC O", + "C he", + "Ġ Î", + "M P", + "Ġun w", + "Ġfew er", + "ĠM ir", + "Ġsomew here", + "ĠK ey", + "Ġattack ed", + "ĠK ir", + "Ġdom ain", + "Ġstrong er", + "Ġ9 9", + "Ġpen alty", + "I d", + "Sc ript", + "Ġdecl ined", + "Ġne ck", + "Ġfra ud", + "Ġcur rency", + "Ġr ising", + "R C", + "âĢ¦ âĢ¦", + "H z", + "Ġt ab", + "Ġtal ent", + "n am", + "ĠN BA", + "Ġvill age", + "Ġleg s", + "ĠN ext", + "E d", + "Ġac id", + "Ġhy d", + "8 00", + "Ġinvol ving", + "ĠIm age", + "ĠBe fore", + "F l", + "Ġyes terday", + "S ource", + "Ġterror ist", + "Ġsu p", + "Ġsy nt", + "ĠSaud i", + "Ġw est", + "Ġr u", + "b urg", + "Ġvis ible", + "Ġstru ck", + "r ison", + "Ġaw esome", + "Ġd rawn", + "Ġansw ers", + "ĠG irl", + "ĠR am", + "Ġthreat s", + "Ġdef eat", + "os it", + "Ġv ent", + "atur ally", + "Americ an", + "end a", + "ĠH oly", + "Ġr um", + "% ,", + "c ase", + "ĠHist ory", + "ĠYou Tube", + "Ġsit uations", + "ĠD NA", + "S te", + "Ġsa ved", + "It em", + "Ġrec ip", + "olog ist", + "Ġfac ed", + "Ġel ig", + "O nce", + "ĠL i", + "u h", + "Ġmist ake", + "ĠDiv ision", + "ĠB ell", + "Ġsympt oms", + " ®", + "Ġdom in", + "Ġfall ing", + "Ġend ing", + "as hes", + "Ġmat ches", + "ĠOn line", + "Ġexplan ation", + "D ef", + "red it", + "Ġany more", + "ĠT otal", + "ĠF OR", + "us hed", + "Ġlet ters", + "Ġris ks", + "ĠO K", + "Ġreported ly", + ": \\", + "Ġpl ate", + "Ġsubject s", + "Ġattempt ed", + "if ier", + "ian a", + "Ġunlike ly", + "ĠTh ough", + "um a", + "ĠIn vest", + "ĠPr in", + "ic an", + "ĠD ar", + "ĠColor ado", + "au g", + "Ġve get", + "a os", + "ri a", + "Ġshe l", + "Ġmark ed", + "Ġ( )", + "Ġsp r", + "p o", + "ĠL ink", + "Ġdef e", + "ĠJ r", + "Ġthem e", + "Ġpass ion", + "ĠP en", + "Ġinf o", + "iz er", + "Ġsh it", + "ĠC ivil", + "ap se", + "c re", + "Ġpo ly", + "Ġcomp onent", + "ĠChar les", + "ĠIre land", + "ĠPro v", + "Ġdo ctors", + "Ġgr anted", + "Ġpain t", + "Ġhon or", + "Ġsm oke", + "Ġpay ments", + "Ġprim arily", + "ĠKing dom", + "r ich", + "ate ll", + "Ġde als", + "Ġsched uled", + "Ġfund amental", + "Ġprote in", + "Ġnewsp aper", + "Ġcl ients", + "yth on", + "ĠD ate", + "h us", + "Ġfeed back", + "Ġstret ch", + "Ġc ock", + "Ġhot el", + "ĠQue en", + "Ġsu gar", + "Ġj u", + "Ġmil k", + "Ġappro val", + "ĠL ive", + "Ġequival ent", + "ef ully", + "Ġins ert", + "z ona", + "Ġext ension", + "d ri", + "J ohn", + "Ġacc omp", + "S m", + "ĠF und", + "Ġconst antly", + "Ġ` `", + "Ġgener ated", + "ĠA ction", + "ĠP sych", + "ĠT ri", + "Ġrecogn ize", + "Ġv ary", + "ph a", + "ĠR a", + "d f", + "et ch", + "ĠSov iet", + "Tw o", + "Ġpattern s", + "Ġprof ession", + "an ing", + "T ime", + "ĠL im", + "Ġcol ors", + "ĠA z", + "ĠT R", + "Ġinf ect", + "Ġphen omen", + "Ġshe ll", + "Al so", + "Ġput s", + "Ġdel ivery", + "Ġbro wn", + "Ġprocess ing", + "Ġlight s", + "ess age", + "ĠBro ok", + "ĠA ud", + "l ation", + "Ġindust rial", + "L ike", + "ĠB razil", + "rou s", + "ES S", + "ĠL uc", + "Ġsome how", + "Ġ8 5", + "Ġpro port", + "Ġpolit icians", + "Ġindic ate", + "Ġh ole", + "Ġtechn iques", + "Ġcompet itive", + "Ġph r", + "Ġv o", + "ist ent", + "ĠD ream", + "Ġcamp us", + "Ġaspect s", + "Ġhelp ful", + "Ġsh ield", + "or se", + "Ġtrig ger", + "m al", + "Ġ5 8", + "Ġt ort", + "Ġperson ally", + "Ġt ag", + "Ġkeep s", + "ĠV ideo", + "Ġben ch", + "Ġg ap", + "a ire", + "Ġe ast", + "Ġrec overy", + "per ial", + "Ġprof it", + "ĠM ic", + "Ġ5 7", + "Ġcol on", + "Ġstrong ly", + "st yle", + "Ġalleg ations", + "h an", + "Ġrep orters", + "j o", + "r ine", + "arg et", + "and al", + "Ġ0 3", + "Ġfl ash", + "tr ans", + "Ġstr ict", + "Ġpark ing", + "ĠPak istan", + "Ġl i", + "Ġwe ird", + "ĠE ric", + "Ġreg ions", + "ĠJ un", + "Ġint ellect", + "ĠW H", + "od ing", + "rib utes", + "up id", + "ĠT it", + "Ġf inger", + "or ia", + "Ġe lev", + "ĠF ield", + "Ġcon clusion", + "; ;", + "Ġfeel ings", + "Ġext ensive", + "Ġm ixed", + "Ġne uro", + "v y", + "Ġhar ass", + "ĠC irc", + "ou ch", + "Ġterrit ory", + "Ġsuccess fully", + "M ar", + "Ġing red", + "Ġoverw hel", + "Ġl ayer", + "V iew", + "Ġall ies", + "ill ance", + "ĠTh ree", + "Ġb unch", + "Ġnorm ally", + "Ġnet works", + "Ġsac r", + "ĠC IA", + "b les", + "Ġch ose", + "Ġopp onents", + "Ġregard less", + "Ġfr anch", + "Ġpre f", + "ĠP o", + "Ġbr idge", + "ann a", + "ĠSil ver", + "Ġw age", + "p age", + "ri or", + "Ġrad ical", + "ĠL ittle", + "Ġman ip", + "Ġsecret ary", + "Ġg ang", + "D R", + "F A", + "Ġdec ent", + "ĠSp irit", + "Ġun cle", + "ĠDevelop ment", + "Ġinvest ors", + "Ġwall s", + "Ġpub lish", + "Ġgener ate", + "iss ions", + "c ar", + "Ġprom ote", + "Ġcut ting", + "Ġche st", + "Ġdrink ing", + "Ġcollect ed", + "Ġ7 2", + "Ġhop ing", + "Ġem br", + "gor ith", + "Ġwar ned", + "Ġinstruct ions", + "O G", + "ĠD id", + "ĠAg ency", + "Ġg ear", + "Ġcritic ism", + "ĠF urther", + "Ġut il", + "ann y", + "R ed", + "Ġcoun sel", + "ĠAs ian", + "Ġredu ction", + "p ool", + "Ġteach ing", + "Ġdeep ly", + "i y", + "Ġestim ates", + "Ġcho ices", + "Ġperman ent", + "in em", + "ke l", + "Ġf asc", + "p se", + "f ile", + "ĠL ow", + "ĠP erson", + "Ġt ournament", + "st al", + "Ġm el", + "U ST", + "ĠR ay", + "az i", + "V al", + "Ġcont ained", + "ĠH olly", + "Ġw ake", + "Ġreve al", + "Ġprocess es", + "ĠIS IS", + "Ġ0 9", + "Ġbl ind", + "Ġste el", + "ĠB ad", + "Ġcare fully", + "app y", + "ro it", + "Ġg aming", + "Ġhous es", + "ĠC oll", + "Ġtr uck", + "er m", + "Ġsc ored", + "Ġocc as", + "ret urn", + "b ound", + "v ar", + "Ġsh arp", + "Ġaf raid", + "ĠE X", + "am ber", + "c ific", + "Ġsche me", + "N C", + "ĠPol it", + "Ġdecl ine", + "Ġ199 8", + "Ġpus hing", + "Ġposs ession", + "Ġpriv ile", + "Ġteacher s", + "Ġy ield", + "H A", + "ĠDav is", + "it led", + "#### ####", + "Ġr ig", + "ĠD aniel", + "ac on", + "Ġh ide", + "ut en", + "Ġcolle agues", + "Ġprin ciples", + "Ġl oud", + "Ġs in", + "ĠDem on", + "Ġst one", + "Ġ0 2", + "Ġt aught", + "Ġter rible", + "Ġst uck", + "ĠPol icy", + "te en", + "Ġimplement ation", + "ĠB BC", + "ĠAP I", + "Ġwhe el", + "all as", + "Ġch ampions", + "ol ars", + "play er", + "Ġrepeated ly", + "ĠSt ill", + "Ġlik es", + "ast y", + "es ter", + "ĠCath olic", + "R L", + "Ġb ath", + "Ġno ise", + "t itle", + "Ġn orthern", + "P art", + "Ġmag n", + "Ġf ab", + "ĠAs h", + "Ġdis pl", + "Ġtick et", + "Ġm urd", + "Ġalong side", + "ĠMus ic", + "Ġr iver", + "ĠSte el", + "ĠC L", + "ĠPl ayer", + "ĠM ult", + "ow ing", + "re p", + "s ize", + "Ġt ur", + "ĠGeorg ia", + "isc al", + "ra ction", + "Ġc able", + "Ġ5 9", + "Ġw ins", + "Ġup coming", + "Ġsurv ive", + "Ġins pired", + "ĠEduc ation", + "Ġstat istics", + "ĠF oot", + "iam i", + "Ġy ellow", + "ĠP age", + ". -", + "ĠH as", + "Ġur ban", + "Ġa x", + "es sel", + "\\ \"", + "Ġquarter back", + "Ġreg ister", + "ĠLab or", + "Ġab ilities", + "ĠF amily", + "Ġvar iable", + "ĠPr ice", + "Ġcont em", + "Ġth in", + "ĠE qu", + "d ata", + "Ġg otten", + "Ġconst it", + "Ġas ks", + "Ġt ail", + "Ġexc iting", + "ĠE ffect", + "ĠSp anish", + "Ġencour age", + "ins on", + "ĠA h", + "Ġcommit ment", + "C S", + "Ġr ally", + "Ġ: :", + "Ġsubs id", + "Ġsp in", + "Ġcapt ured", + "201 8", + "Ġinn oc", + "Ġalleged ly", + "ĠC ome", + "Ġart ists", + "ĠN umber", + "Ġelect ronic", + "Ġreg ional", + "ap es", + "Ġw ra", + "Ġmy th", + "pr ise", + "ĠM iller", + "ĠC reat", + "ĠEp isode", + "b ell", + "Ġdirect ed", + "Ġext ract", + "Ġs orry", + "Ġv ice", + "ag ger", + "ĠSu pport", + "Ġ6 6", + "ĠI ron", + "Ġwonder ful", + "Ġg ra", + "N et", + "ion e", + "E ng", + "Ġsh ips", + "ik es", + "ĠK evin", + "it ar", + "Ġactiv ists", + "tr ue", + "ĠAri zona", + "ent h", + "ĠDes pite", + "ĠS E", + "Ġha bit", + "ern el", + "Ġin qu", + "Ġab ortion", + "Ġv oid", + "Ġexpl icit", + "Ġeng aged", + "Ġang ry", + "Ġr ating", + "Ġfr ag", + "b ro", + "ick ing", + "d ev", + "Ġwor ried", + "Ġob ser", + "Ġap artment", + "ĠG T", + "Ġest ate", + "ĠConst itution", + "em on", + "ĠS now", + "Ġcount y", + "Ġdis ag", + "ĠStep hen", + "Ġimm igrants", + "w ind", + "ĠN ations", + "Ġfol ks", + "O ut", + "Ġg all", + "Ġtarget ed", + "Ġst ead", + "ĠB on", + "ĠL ib", + "Ġinform ed", + "Ġ12 0", + "ch ain", + "idel ines", + "or ough", + "Ġdri ven", + "Ġregular ly", + "Ġbas ket", + "Ġprinc iple", + "oc ument", + "Ġst un", + "ib ilities", + "ĠRom an", + "ĠAb out", + "Ġal ert", + "Ġdemocr acy", + "Ġrepresent ed", + "H S", + "c ers", + "p arent", + "Ar t", + "p ack", + "Ġdi plom", + "re ts", + "ĠN O", + "Ġcapt ure", + "ĠAd v", + "Ħ ¢", + "Ġannounce ment", + "ĠL ear", + "Ġh ook", + "Ġpur s", + "ĠS uch", + "ĠC amer", + "Ġrefuge es", + "ĠV e", + "P ol", + "Ġrecogn ized", + "l ib", + "Ġhad n", + "A ss", + "Ġpil ot", + "us hing", + "Ġreturn ing", + "Ġtra il", + "ĠSt one", + "Ġrout ine", + "Ġcour ts", + "Ġdes per", + "Ġfriend ly", + "ĠIt aly", + "Ġpl ed", + "Ġbreat h", + "Ġstud io", + "N S", + "Ġimp ressive", + "ĠAfghan istan", + "Ġf ing", + "Ġd ownt", + "ink ing", + "ĠR og", + "i ary", + "col or", + "se x", + "ar on", + "Ġf ault", + "ĠN ick", + "D own", + "ĠR ose", + "ĠS outhern", + "X X", + "is odes", + "L ist", + "6 00", + "Ġout come", + "er r", + "Ġelse where", + "Ġret ire", + "Ġp ounds", + "ĠGl obal", + "Pe ople", + "Ġcommun ications", + "Ġlo an", + "Ġrat io", + "ĠEm pire", + "Ġg onna", + "Ġinv ent", + "D F", + "Ġ19 70", + "ĠComm on", + "p at", + "Ġprom ised", + "Ġd inner", + "ĠH om", + "Ġcreat es", + "Ġoper ate", + "ver ty", + "ĠJ ordan", + "et ime", + "Ġsust ain", + "R eg", + "Ġincred ible", + "im a", + "Ġwar rant", + "Ġm m", + "A tt", + "Ġlaw suit", + "Ġreview s", + "it ure", + "ĠS ource", + "l ights", + "ĠF ord", + "Ġ6 3", + "g roup", + "st ore", + "Ġfeat ured", + "Ġfore ver", + "Ġpo verty", + "ĠP op", + "ĠC NN", + "az z", + "ab is", + "ach ing", + "Ġl aid", + "ĠSu pp", + "Ġfil ter", + "en a", + "ĠCommun ity", + "Ġcreat ures", + "u ction", + "ĠR oyal", + "Ġassoci ation", + "ĠCon nect", + "ĠBr ad", + "âĸ Ī", + "l ers", + "the re", + "ĠG i", + "Ġval uable", + "AC K", + "ĠT aylor", + "Ġl iquid", + "ĠAtt orney", + "ĠCar l", + "ĠF inal", + "ag a", + "ĠWil son", + "B ecause", + "ĠProf essor", + "ak a", + "Ġincred ibly", + "r ance", + "! )", + "R ef", + "s k", + "Ġsol utions", + "Ġatmosp here", + "Ġbl ame", + "um es", + "ĠN ob", + "C A", + "um ps", + "r ical", + "ĠPut in", + "ĠD est", + "or ic", + "ĠP A", + "Ġrespect ively", + "w an", + "Ġfif th", + "â Ħ¢", + "ĠC ry", + "Ġgovern or", + "res ident", + "Ġpurch ased", + "Ġh ack", + "Ġint ense", + "ob s", + "Ġorig in", + "Ġdef ine", + "Ġcare ful", + "** *", + "Ġshould er", + "Cl ick", + "Ġt ied", + "Ġdest ruction", + "ou red", + "Ġno body", + "Ġh o", + "ĠEx per", + "Ġt ip", + "\" ;", + "Ġtechn ique", + "Ġj ur", + "ĠP ok", + "b ow", + "Ġleg end", + "Ġacc ord", + "Ġbus y", + "ĠInt el", + "Ġh ang", + "ak i", + ". ]", + "âĢĶâĢĶ âĢĶâĢĶ", + "Ġsur gery", + "Ġrep rodu", + "Ġun iform", + "Ġscen es", + "c ode", + "Ġ6 2", + "l isher", + "ĠH ave", + "ph ia", + "Ġcry pt", + "Ġrec on", + "Ġsc ream", + "Ġadop ted", + "Ġsc ores", + "N e", + "ĠIt alian", + "in cluding", + "B O", + "Ġindic ated", + "Ġent ertain", + "G u", + "T ext", + "i el", + "Ġtw enty", + "Ġeng age", + "off s", + "ĠPac ific", + "Ġsm ile", + "Ġperson nel", + "Ġto ler", + "Ġdo ors", + "Ġt one", + "Ġmach ines", + "Ġent ering", + "ten ance", + "C O", + "ĠJer sey", + "Ġfore st", + "Ġhor se", + "Ġcompl aint", + "ĠSpr ing", + "y o", + "ĠPl us", + "ed ing", + "ĠRet urn", + "qu arters", + "ial s", + "c ow", + "Ġacad emic", + "Ġf ruit", + "Ġ199 6", + "og ether", + "Ġw ine", + "Ġpur su", + "ĠSte ven", + "Ġlic ens", + "Wh o", + "Ġclot hes", + "re ction", + "Ġsqu ad", + "Ġst able", + "Ġr aw", + "z ens", + "St ar", + "ut ies", + "anc er", + "Ġke ys", + "ĠM u", + "Ġcompl icated", + "ig er", + "ĠTe xt", + "Ġabs or", + "Ġ6 8", + "Ġfun ny", + "Ġrel ief", + "ĠL ew", + "ĠC ook", + "Ġch art", + "Ġdraw ing", + "G E", + "Ġmod ule", + "ĠB ull", + "I LL", + "Ġs alt", + "0000 0000", + "il le", + "Ġres ource", + "aw ay", + "adel phia", + "ĠB ru", + "Ġ6 7", + "Ġsome body", + "Ġparticip ate", + "Ġro se", + "we red", + "Ġmus cle", + "Ġcons ent", + "Ġcontin uing", + "ĠGuard ian", + "ĠOr der", + "reg on", + "Ġre ar", + "Ġprov ision", + "Ġlik ed", + "ri ent", + "Ġb ra", + "Tr ans", + "Ġmeet ings", + "Ġto x", + "Ġcon vent", + "Ġaut o", + "Ġrec ording", + "ĠSo ft", + "00 1", + "ĠR oll", + "Ġprogram ming", + "Ġp ic", + "Ġprov ed", + "Ġst ab", + "ĠA st", + "Ġca ption", + "ul ating", + "ĠAtt ack", + "Ġnew ly", + "Ġ199 7", + "f r", + "Ġdis cipl", + "ĠGree k", + "Ġed ition", + "ĠDo es", + "ĠB ox", + "if le", + "ack et", + "Ġpass es", + "Ġgu est", + "Ġac celer", + "it als", + "U D", + "Ġaut hent", + "ĠR est", + "ov al", + "t a", + "u ine", + "Ġarm or", + "ĠT own", + "Ġcomp at", + "Ġinc hes", + "Des pite", + "Ġass ign", + "he rent", + "Ġprep are", + "ĠM eg", + "oc key", + "Ġdep ends", + "Ġtrack s", + "w atch", + "Ġl ists", + "ĠN orthern", + "Ġal ter", + "re c", + "ĠE astern", + "Ġcond em", + "Ġevery where", + "? '", + "Ġaff ili", + "Ġf ought", + "\": {\"", + "Ġm ac", + "it arian", + "Ġsc ope", + "ĠA L", + "aw s", + "ar ms", + "Ġqu e", + "Ġenjoy ed", + "nes ota", + "Ġagg ressive", + "ĠSt ory", + "ĠI V", + "Ġrec ipe", + "Ġrare ly", + "ĠMed ical", + "val ue", + "ang el", + "ay ing", + "omet hing", + "Ġsub section", + "Ġs outhern", + "Ġfrequ ency", + "re te", + "roll ed", + "ult s", + "ĠN ic", + "Ġbeh alf", + "Ġsequ ence", + "ab et", + "Ġcontrovers ial", + "Ġcomp rom", + "Ġwork er", + "Ġmain ly", + "Ġal gorith", + "ĠM ajor", + "or ce", + "g ender", + "Ġorgan ized", + "Ġf ake", + "Ġconclud ed", + "ĠE D", + "ĠEx ec", + "r age", + "Ġch ances", + "ber ry", + "ĠTr ad", + "Ġconfig uration", + "Ġwithd raw", + "Ġf ro", + "ud es", + "ĠBro ther", + "ĠB rian", + "Ġtri es", + "Ġsam ples", + "Ġb id", + "ĠGold en", + "Ġphot ograph", + "if est", + "ĠD O", + "ĠPar liament", + "******** ********", + "R em", + "Ġcont est", + "Ġsign ing", + "p x", + "ĠZ eal", + "âĶĢ âĶĢ", + "E ar", + "Ġex it", + "Be fore", + "ĠCor por", + "n ull", + "mon th", + "Ġrac ial", + "ott ed", + "ĠV eg", + "ĠRe uters", + "Ġsw ord", + "ps on", + "ĠRom ney", + "a ed", + "Ġt rib", + "Ġin ner", + "Ġprot ocol", + "ĠB i", + "ĠM iami", + "ever al", + "p ress", + "Ġsh ipping", + "ĠAm endment", + "ĠHow ard", + "con nect", + "ĠD isc", + "ĠJ ac", + "iam ond", + "ĠThere fore", + "s es", + "ĠPrin cess", + "ĠUS B", + "ĠAn th", + "Ġsurve illance", + "Ġap olog", + "Ġ6 1", + "ow a", + "Ġf ulf", + "j s", + "Ġl uck", + "ust ed", + "Ġ §", + "n i", + "Ġant icip", + "em an", + "Ġwin ner", + "Ġsil ver", + "ll a", + "ic ity", + "Ġunus ual", + "Ġcr ack", + "Ġt ies", + "e z", + "Ġpract ical", + "Ġprov ince", + "ĠPl ace", + "Ġprior ity", + "IC E", + "Ġdescrib es", + "Ġbr anch", + "F orm", + "ask a", + "miss ions", + "b i", + "Ġp orn", + "ĠTur k", + "Ġent hus", + "Ġf ighters", + "Ġ0 8", + "ĠDet roit", + "Ġfound ation", + "av id", + "A re", + "Ġjud gment", + "cl ing", + "Ġsol ve", + "ĠDes ign", + "W here", + "hes is", + "ĠT ro", + "a fter", + "Ġne utral", + "ĠPalestin ian", + "ĠHolly wood", + "Ġadv is", + "ĠN on", + "y es", + "ol is", + "Ġrep utation", + "Ġsm ell", + "Ġb read", + "ĠB ul", + "ĠBe ach", + "Ġclaim ing", + "Ġgen etic", + "Ġtechn ologies", + "Ġupgr ade", + "row s", + "Ġdevelop er", + "ĠJ osh", + "ĠDis ney", + "erv ed", + "ip al", + "Ġun ex", + "Ġbare ly", + "t hen", + "ĠP ub", + "Ġill ness", + "et ary", + "ĠB al", + "Ġp atch", + "Ġbut t", + "Ġst upid", + "ĠD og", + "ĠD allas", + "f ront", + "ie ce", + "Ġprot ests", + "Ġch at", + "oen ix", + "Ġw ing", + "Ġpar liament", + "Ġ7 7", + "ose xual", + "Ġre nder", + "pt ions", + "ĠCo ast", + "os a", + "ĠG reg", + "h op", + "ĠMan agement", + "Ġbit coin", + "Ġrec over", + "Ġincor por", + "or ne", + "ĠUs ing", + "Ġpre ced", + "Ġthreat ened", + "Ġspirit ual", + "ĠE vent", + "ĠF red", + "Ġadvert ising", + "Ġimprove ments", + "ĠC ustom", + "Ġer rors", + "Ġsens itive", + "ĠN avy", + "Ġcre am", + "L ook", + "Ġex clusive", + "Ġcomp rehens", + "Ġde leg", + "Ġcon ce", + "Ġrem em", + "Ġstruct ures", + "Ġst ored", + "N D", + "Ġ1 000", + "U P", + "ĠB udd", + "A F", + "w oman", + "ĠAcad emy", + "ð Ł", + "se a", + "Ġtem porary", + "Ab out", + "es ters", + "Ġtick ets", + "Ġposs ess", + "in ch", + "o z", + "Ġl a", + "Ġcontract s", + "Ġun p", + "Ġc ig", + "ĠK at", + "ult ural", + "as m", + "Ġmount ain", + "ĠCapt ain", + "St ep", + "m aking", + "ĠSp ain", + "Ġequ ally", + "Ġl ands", + "at ers", + "Ġreject ed", + "er a", + "im m", + "ri x", + "C D", + "Ġtrans action", + "g ener", + "less ly", + "Ġ| |", + "Ġc os", + "ĠHen ry", + "Ġprov isions", + "Ġg ained", + "Ġdirect ory", + "Ġra ising", + "ĠS ep", + "ol en", + "ond er", + "Ġcon sole", + "in st", + "Ġb om", + "Ġunc ertain", + "1 50", + "ock ing", + "Ġmeas ured", + "Ġpl ain", + "Ġse ats", + "Ġd ict", + "S L", + "af e", + "Ġest imate", + "iz on", + "at hered", + "Ġcontribut ed", + "Ġep isodes", + "omm od", + "G r", + "AN T", + "Ġ6 9", + "G ener", + "Ġ2 50", + "vious ly", + "rog en", + "Ġterror ism", + "Ġmove ments", + "ent le", + "oun ce", + "ĠS oul", + "Ġpre v", + "ĠT able", + "act s", + "ri ors", + "t ab", + "Ġsuff er", + "Ġn erv", + "Ġmain stream", + "ĠW olf", + "Ġfranch ise", + "b at", + "Ġdem ands", + "Ġag enda", + "Ġdo zen", + "Ġclin ical", + "iz ard", + "ĠO p", + "t d", + "Ġvis ited", + "ĠPer haps", + "Ġact or", + "Ġde lic", + "Ġcont ribute", + "Ġin ject", + "ĠE s", + "ac co", + "Ġlist ening", + "Ġcon gress", + "epend ent", + "Ġprem ium", + "Ġ7 6", + "ĠIr ish", + "Ġass igned", + "ĠPh ys", + "Ġworld wide", + "Ġnarr ative", + "ot ype", + "m ont", + "b ase", + "ĠB owl", + "ĠAdminist ration", + "Ġrel ation", + "ĠE V", + "C P", + "Ġco vers", + "Ġ7 8", + "Ġcert ific", + "Ġgr ass", + "Ġ0 4", + "pir acy", + "ir a", + "Ġengine ering", + "ĠM ars", + "Ġun employ", + "ĠFore ign", + "st ract", + "Ġv en", + "Ġst eal", + "Ġrepl ied", + "Ġult imate", + "Ġtit les", + "d ated", + "Ġj oy", + "a us", + "Ġhy per", + "ak u", + "Ġoffic ially", + "ĠPro duct", + "Ġdifficult y", + "per or", + "Ġresult ed", + "rib ed", + "l ink", + "wh o", + "~~ ~~", + "ĠSpe ed", + "ĠV iet", + "W ind", + "ĠBar ack", + "Ġrestrict ions", + "ĠSh are", + "Ġ199 5", + "ition ally", + "Ġbeaut y", + "op t", + "Ġm aps", + "ĠC R", + "ĠN ation", + "ĠCru z", + "W ill", + "Ġelectric ity", + "Ġor g", + "Ġb urd", + "Ġviol ation", + "Ġus age", + "Ġper mit", + "ĠCh ron", + "ĠF ant", + "Ġn aturally", + "Ġ0 7", + "Ġth rown", + "ĠAw oken", + "Ġal ien", + "ĠHer o", + "ĠK ent", + "ĠR ick", + "ri ke", + "Ġp ace", + "}, {\"", + "G L", + "Ġpo ison", + "ĠT ower", + "Ġform al", + "al ysis", + "Ġgen uine", + "Ġk il", + "a ver", + "Ġproced ure", + "ĠPro p", + "intend o", + "ĠM ain", + "as ant", + "Ġtr ained", + "G ame", + "ĠL oad", + "ĠM A", + "Ġcru cial", + "Ġle ts", + "ĠF R", + "Ġch ampion", + "1 01", + "ĠCon ference", + "Ġwrit ers", + "Ġconnect ions", + "Ġo kay", + "ir ms", + "ĠR and", + "Ġenc ounter", + "ĠB uff", + "Ġachie ved", + "Ġche cks", + "isc ons", + "Ġassist ant", + "Ġwhen ever", + "ĠA ccess", + "ĠU r", + "b in", + "Ġcl ock", + "is p", + "op her", + "Ġb orrow", + "Ġm ad", + "Ġperson ality", + "on ly", + "IS T", + "ab ama", + "Ġg ains", + "Ġcommon ly", + "Ġter r", + "Ġhyp ot", + "Ġre ly", + "Ġt iss", + "iscons in", + "Ġrid ic", + "f unction", + "ĠO regon", + "Ġun com", + "r ating", + "el and", + "ĠN C", + "Ġm oon", + "ann on", + "Ġvulner able", + "ut ive", + "³³ ³³", + "ĠRad io", + "Ġw estern", + "se ct", + "ĠT ony", + "Ġocc urs", + "ĠO s", + "ĠH on", + "à Ń", + "Ġv essel", + "ĠScot land", + "Ġdiscrim ination", + "Ġsubsequ ent", + "st ring", + "Ġfant asy", + "ĠSh adow", + "Ġtest im", + "W E", + "it i", + "r as", + "Ġbo at", + "Ġmar ks", + "Ġord inary", + "Ġre n", + "Ġrepresent ative", + "Ġpet ition", + "Ġ7 3", + "Ġad venture", + "Ġign ore", + "ĠPhil adelphia", + "ĠS av", + "V P", + "Ġfact ory", + "Ġt asks", + "Ġdep ression", + "z ed", + "................ ................", + "ĠSt orm", + "Ġc ogn", + "Ġelig ible", + "Ġredu cing", + "v ia", + "Ġ0 5", + "Ġstri king", + "Ġdoll ar", + "h o", + "O V", + "Ġinstr ument", + "Ġphilosoph y", + "ĠMo ore", + "ĠA venue", + "Ġrul ed", + "ĠFr ont", + "IN E", + "ĠM ah", + "Ġscen ario", + "ĠNAS A", + "Ġen orm", + "Ġdeb ut", + "Ġte a", + "T oday", + "Ġabs ence", + "S im", + "Ġh am", + "le ep", + "Ġt ables", + "ĠHe art", + "M I", + "K e", + "re qu", + "V D", + "m ap", + "Ġchair man", + "Ġp ump", + "Ġrapid ly", + "v i", + "Ġsubstant ial", + "E P", + "d es", + "ch ant", + "ili pp", + "ĠS anta", + "ri ers", + "anche ster", + "L oad", + "ĠC ase", + "Ġsa ving", + "Ġ7 4", + "ĠA FP", + "er ning", + "oun ced", + "ĠMin nesota", + "ĠW as", + "Ġrec ru", + "Ġassess ment", + "ĠB ron", + "U E", + "Ġdynam ic", + "Ġf urn", + "ul ator", + "Ġprop ag", + "h igh", + "Ġacc ommod", + "Ġst ack", + "ĠS us", + "w rit", + "Ġre ven", + "ĠGod d", + "ĠZeal and", + "ab s", + "Ġbr ut", + "Ġper pet", + "h ot", + "Ġhard ly", + "ĠB urn", + "ãĤ ¹", + "Ġst y", + "Ġtrans actions", + "Ġg ate", + "Ġsc reens", + "Ġsub mitted", + "Ġ1 01", + "Ġlangu ages", + "ugh t", + "em en", + "Ġfall s", + "Ġc oc", + "Ĥ ¬", + "Ġstri kes", + "p a", + "Ġdel iber", + "ĠI M", + "Ġrel ax", + "ann els", + "ĠSen ator", + "Ġext rem", + "Ġ} ,", + "ĠDe b", + "Ġbe ll", + "Ġdis order", + "c ut", + "Ġi OS", + "Ġl ocked", + "Ġem issions", + "Ġshort ly", + "\" ]", + "ĠJud ge", + "ĠS ometimes", + "Ġr ival", + "Ġd ust", + "Ġreach ing", + "F ile", + "¯¯ ¯¯", + "ino is", + "ĠJ ason", + "Ġs atell", + "are t", + "Ġst ations", + "Ġag ric", + "ĠTechn ology", + "com es", + "ĠUn fortunately", + "ĠChild ren", + "Ġappl ies", + "ast ed", + "Ġan ger", + "ail ability", + "ĠDam age", + "Ġcomp are", + "ĠStand ard", + "Ġaim ed", + "ĠB a", + "angu age", + "Ġreg ulation", + "Ġj ury", + "Ġair port", + "Ġse ctions", + "ĠPr ince", + "em ed", + "Ġmedic ine", + "Ġh itting", + "Ġsp ark", + "ol ves", + "Ġad s", + "St ate", + "Ġfood s", + "Ġrepl acement", + "Ġch icken", + "Ġlow est", + "Ġmind s", + "Ġinvol ves", + "u i", + "Ġarr ang", + "Ġproced ures", + "ĠWh ich", + "ivers ary", + "Ġb ills", + "Ġimprove ment", + "Ġin ev", + "Ġexpect ations", + "Ġintellect ual", + "Ġsp aces", + "Ġmechan ism", + "2 50", + "bre ak", + "ĠZ e", + "ĠT enn", + "ĠB alt", + "Ġbar rel", + "Ġstat ic", + "man n", + "Pol ice", + "Ġt ips", + "Ġhand ling", + "c us", + "od ed", + "il ton", + "ir y", + "Ġjournal ists", + "our se", + "Ġcom ic", + "Ġnom ine", + "IT Y", + "Ġvers us", + "Ġlo op", + "Ġsur f", + "ĠInd ust", + "ĠHun ter", + "Ġbelief s", + "is an", + "Ġset up", + "Ġbre w", + "im age", + "Ġcomput ers", + "f ol", + "} ,\"", + "ĠMed al", + "Ġtax p", + "Ġdisplay ed", + "Ġg rav", + "Ġf iscal", + "M on", + "ĠMos cow", + "ĠK ong", + "ĠCent re", + "Ġcamer as", + "ĠMr s", + "ĠH ay", + "Ġa ver", + "ĠK elly", + "p y", + "Ġrequire ment", + "Ġent itled", + "omb ie", + "Ġsh adow", + "ag ic", + "ĠA k", + "Ġel ite", + "Ġdiv ided", + "Ġhead ing", + "Ġcop ies", + "Ġloss es", + "Ġv it", + "k ed", + "ĠB ry", + "Ġan s", + "ĠSte am", + "Ġrep orter", + "he im", + "ĠIt em", + "Ġsuper ior", + "d on", + "ere nt", + "à ¶", + "Ġtherap y", + "Ġpe ak", + "ĠMod el", + "Ġl ying", + "Ġg am", + "z er", + "r itten", + "Ġrespons es", + "Ġconsider ation", + "ĠB ible", + "Ġl oyal", + "Ġinst ant", + "Ġp m", + "ĠFore st", + "à ¼", + "Ġext end", + "Ġconv icted", + "Ġfound er", + "Ġconv in", + "ĠO ak", + "che ck", + "Ġsch olars", + "p ed", + "Ġover se", + "T op", + "c ount", + "ĠAr k", + " ·", + "Ġ0 6", + "ĠL A", + "m d", + "ĠLat in", + "im ental", + "ĠC PU", + "Ġsubst ance", + "Ġminor ity", + "Ġmanufact uring", + "E r", + "ocol ate", + "Ġatt ended", + "ĠMan ager", + "r ations", + "Ġappreci ate", + "om y", + "GB T", + "id ency", + "B L", + "Ġguarant ee", + "pos ition", + "Ġo cean", + "clud e", + "Ġhead ed", + "Ġt ape", + "Ġlo ose", + "Ġlog ic", + "Ġpro ven", + "Ġsp ir", + "Ġad mit", + "is a", + "Ġinvestig ate", + "Ġ199 4", + "sy lv", + "ĠL ost", + "c est", + "Ġ7 1", + "Ġrequest ed", + "Ġwind ows", + "ĠPok é", + "ĠWith out", + "M et", + "Ġbehavi our", + "Ġread er", + "Ġh ung", + "ĠKe ep", + "Ġro les", + "Ġimplement ed", + "Ġbl ank", + "Ġserv es", + "ĠJ ay", + "Ġc ited", + "ĠF riend", + "prof it", + "ap on", + "Ġrep air", + "it em", + "arr ass", + "Ġcrit ics", + "ad i", + "ĠF ather", + "Ġsh out", + "Ġf ool", + "Ġ8 8", + "Ġprodu cing", + "Ġl ib", + "Ġround s", + "Ġcirc le", + "Ġpre par", + "Ġsub mit", + "Ġn ic", + "mor row", + "ãĥ «", + "U nder", + "Ġv ital", + "ater n", + "Ġpass word", + "Ġpublic ation", + "Ġprom inent", + "Ġspeak s", + "Ġb ars", + "Ġde eper", + "ĠM ill", + "port ed", + "Ġw id", + "Ġbut ter", + "Ġsm oking", + "Ġindic ates", + "K ey", + "rop ri", + "ĠF ile", + "all ing", + "ast ing", + "ĠR us", + "Ġad j", + "Ġ7 9", + "av al", + "Ġpres um", + "bur gh", + "on ic", + "Ġf ur", + "Ġpoll s", + "ik a", + "Ġsecond ary", + "Ġmon ster", + "ig s", + "ĠCur rent", + "E vent", + "Ġowners hip", + "end ar", + "Ġarri ve", + "ĠT ax", + "Ġn ull", + "ĠPri v", + "Ġth ro", + "Ġk iss", + "c at", + "Ġup set", + "ang le", + "it ches", + "ect or", + "olog ists", + "ĠGal axy", + "Ġcor ruption", + "Ġh int", + "ent er", + "ĠH ospital", + "Ġgreat ly", + "Ġbeg un", + "es y", + "Ġso il", + "ĠAnt on", + "Ġmain tenance", + "ãĥ ©", + "Ġdo zens", + "Ġhuman ity", + "ĠAl abama", + "Ġr om", + "w orth", + "ap ing", + "sylv ania", + "l ah", + "Ġg athered", + "G A", + "Ġattack ing", + "f ound", + "ĠSqu are", + "Ġar bit", + "ict ions", + "ĠW isconsin", + "Ġd ance", + "ĠS aint", + "arch y", + "Ġbase ball", + "Ġcontribut ions", + "Ġliter ature", + "Ġex ha", + "per ty", + "t est", + "Ġb ab", + "Ġcontain er", + "let ter", + "Ġfall en", + "Ġwebs ites", + "Ġbott le", + "ĠS ac", + "Ġbre ast", + "ĠP L", + "Ġveter an", + "Ġinterview s", + "ĠA le", + "Ġb anned", + "eng ers", + "ĠRev olution", + "in th", + "Ġconc erning", + "IV E", + "Ġexp enses", + "ĠMatt hew", + "ĠColumb ia", + "d s", + "ist ance", + "Ġent ity", + ".. .\"", + "Ġrel iable", + "Ġpar alle", + "ĠChrist ians", + "Ġopin ions", + "Ġin du", + "l ow", + "Ġcompet e", + "Ġth orough", + "Ġemploy ed", + "Ġestablish ment", + "ig en", + "ĠC ro", + "Ġlawy ers", + "ĠSt ation", + "T E", + "ĠL ind", + "ĠP ur", + "it ary", + "Ġeffic iency", + "âĢ IJ", + "ĠL y", + "Ġm ask", + "Ġdis aster", + "Ġag es", + "ER E", + "es is", + "ĠH old", + "Ġcas ual", + "b led", + "Ġen abled", + "ĠEn vironment", + "ĠInt elligence", + "i per", + "ĠM ap", + "ĠB E", + "Ġemer ged", + "is dom", + "Ġc abin", + "Ġregist ration", + "Ġfing ers", + "Ġro ster", + "Ġfram ework", + "ĠDo ctor", + "et ts", + "Ġtransport ation", + "Ġaware ness", + "H er", + "Ġattempt ing", + "O ff", + "ĠSt ore", + "ÃĥÃĤÃĥÃĤ ÃĥÃĤÃĥÃĤ", + "ĠK now", + "Ġdef ence", + "Ġsc an", + "ĠT en", + "ĠCh air", + "ĠP H", + "ĠAtl anta", + "Ġfuck ing", + "Ġans wered", + "b n", + "ĠK ar", + "Ġcateg ories", + "Ġr ational", + "Ġc ust", + "Ġrob ot", + "Ġcorrect ly", + "Ġg if", + "Ġgraph ics", + "m ic", + "Ġground s", + "ĠO pp", + "i ate", + "Ġdist ributed", + "Ġsan ctions", + "Ġchalleng ing", + "ut o", + "Ġingred ients", + "Ġinv ited", + "Ġfound ed", + "ĠRe qu", + "d ed", + "Ġb owl", + "Ġbrother s", + "ĠH a", + "I O", + "Ġw ages", + "im ore", + "oc ial", + "Ġse ed", + "ative ly", + "Ġaddress es", + "ĠI owa", + "ab eth", + "Ġatt itude", + "is d", + "ch ild", + "Ġm ole", + "Ġdisco very", + "y ard", + "B r", + "Ġ8 2", + "Ġsuppl ies", + "ell ing", + "Ġdist ingu", + "C R", + "Ġre cept", + "Ġ vert", + "Ġsw im", + "b ec", + "d oor", + "ĠY eah", + "Ġg al", + "Ġinter act", + "ĠE SP", + "ĠC S", + "amp s", + "Ġconvin ced", + "Ġobject ive", + "Ġdis h", + "ĠPhot os", + "l ad", + "Ġdownt own", + "o il", + "in ction", + "Ġto morrow", + "ĠC OM", + "Ġsurv ival", + "sh ot", + "Ġsett lement", + "C ons", + "ĠX box", + "int erest", + "ĠS M", + "arg o", + "en ess", + "Ġeth nic", + "b ered", + "M in", + "ĠT ok", + "Ġinc ent", + "ĠComm and", + "Ġmain tained", + "Ġbreak s", + "br idge", + "at ar", + "ag g", + "ĠF inally", + "un icip", + "ĠO nt", + "le ft", + "Ġrecogn ition", + "Ġ* /", + "ĠP ers", + "Ġwe lf", + "Ġaddress ed", + "ĠK ansas", + "Ġvir us", + "Ġwhere as", + "Ġp apers", + "ram s", + "ĠMin istry", + "Ġple asure", + "Ġacqu ired", + "Ġd uration", + "j pg", + "Ġcal m", + "ĠN HL", + "Ġburn ing", + "Ġfold er", + "ick ed", + "ĠP y", + "ĠIll inois", + "Cl ass", + "ĠGodd ess", + "Ġperform ing", + "Ġwelf are", + "j ar", + "In ter", + "Ġl in", + "Ġenh ance", + "Ġnot ion", + "f are", + "yp es", + "ĠAre a", + "Ġcann abis", + "ĠDie go", + "f s", + "ĠM anchester", + "com m", + "in ite", + "Ġcover ing", + "ĠS ound", + "Ġ19 60", + "Ġ8 4", + "e lect", + "z ing", + "Ġcitiz en", + "Ġph ones", + "Ġr aid", + "Ġign ored", + "ĠOb ject", + "Ġu pload", + "c ard", + "Ġmod ified", + "Ġroom s", + "ia h", + "r ange", + "he ast", + "ach us", + "Ġsuggest ing", + "âĢ ĭ", + "gr ade", + "E l", + "Ġclot hing", + "Ġr h", + "ĠH an", + "un ity", + "en cing", + "ĠAust in", + "sec ution", + "t ra", + "d em", + "ĠQ ual", + "Ġhe aven", + "Ġst ages", + "Ġw edd", + "pl us", + "ific ial", + "ĠIm m", + "ĠH o", + "iet ies", + "Ġphr ase", + "Ġbr ill", + "act ory", + "Ġprov iders", + "Ġsil ence", + "Ġa er", + "ĠA I", + "ĠAd venture", + "Ġplatform s", + "Ġdemonstr ated", + "Ġinter f", + "ing ton", + "Ġr aces", + "Ġgr ade", + "ult ane", + "ĠTh rough", + "f alse", + "Ġb ow", + "ĠA B", + "Ġfl avor", + "Ġhistor ic", + "g ov", + "Ġcol our", + "Ġview ed", + "ĠEm ail", + "el come", + "Ġinter vention", + "Ġd iversity", + "Ġperiod s", + "Ġre verse", + "ĠV ery", + "Ġqu ote", + "ĠLe ft", + "th rough", + "Ġsc rew", + "Ġland ing", + "Ġp ill", + "Ġw et", + "Ġprot esters", + "Ġrepe at", + "av ed", + "er k", + "Ġsal ary", + "ĠPenn sylvania", + "St ill", + "Ġmay or", + "Ġkit chen", + "Ġfeat uring", + "ĠM useum", + "ĠT ournament", + "ĠF al", + "Ġser vers", + "U C", + "Ġany body", + "im g", + "ĠTr ade", + "ixt ure", + "the less", + "Ġfin ance", + "Ġcl osing", + "ĠPat ri", + "i ac", + "ab el", + "Ġ> >", + "or ous", + "Ġf irms", + "sc reen", + "un a", + "Ġemb arrass", + "ul se", + "Ġlet ting", + "Ġth rew", + "ile y", + "Ġch annels", + "l an", + "ĠVeg as", + "Ġse ar", + "Ġfant astic", + "ar re", + "uzz le", + "ĠD er", + "Th ose", + "Ġsw ing", + "Ġshe et", + "ind ex", + "co ver", + "og an", + "Ġvari ables", + "ĠTe ch", + "Ġsp oken", + "ac hel", + "ĠD a", + "ĠMount ain", + "Ġload ed", + "Ġfoot age", + "vers ion", + "Ġun l", + "ĠPh oenix", + "Ġthrow ing", + "Ġf iring", + "Ġtrack ing", + "Ġw idth", + "Ġstrugg ling", + "ro oms", + "ot ion", + "Ġmonth ly", + "ĠSer ver", + "Ġegg s", + "op en", + "M C", + "Ġ199 3", + "Ġh ired", + "Ġstay ed", + "ĠAll en", + "Ġst ro", + "Ġ9 8", + "st ep", + "ĠTurk ish", + "Ġfab ric", + "ist ing", + "ĠD om", + "Ġd ates", + "Ġpr on", + "Ġbasket ball", + "Ġl ucky", + "ĠArab ia", + "Ġassum ed", + "est y", + "Ġaff airs", + "Ġgl ad", + "ĠInd eed", + "ĠF A", + "ĠW ord", + "Ġjo ining", + "if ice", + "p read", + "ir ts", + "ĠSe lect", + "Ġpop ulations", + "aw are", + "Ġn ose", + "Ġcompl aints", + "st art", + "Ġsc oring", + "Th anks", + "Ġmin ing", + "Ġvisit ors", + "S H", + "Ġdam aged", + "Ġcharacter istics", + "ĠP ent", + "D C", + "Ġ8 3", + "ĠS ix", + "r ates", + "Ġfl ags", + "ĠB rew", + "d og", + "M ark", + "// //", + "Ġexec ution", + "Ġj oke", + "ph ones", + "Ġtestim ony", + "Ġob st", + "Q L", + "ĠC ut", + "Ġstud ied", + "ĠN intendo", + "ick et", + "ĠN BC", + "Ġl ad", + "ĠB ra", + "ĠM oh", + "Ġk ernel", + "Ġoverwhel ming", + "Ġag ed", + "Ġapplic able", + "ĠC ond", + "Ġroad s", + "ĠBl ock", + "m ade", + "od ge", + "Ġcomm ands", + "Ġoff ices", + "vel and", + "Ġt ut", + "Ġrece iver", + "ĠF ro", + "Ġsho pping", + "Ġi P", + "ĠSt re", + "ĠA BC", + "Ġentertain ment", + "ĠB ow", + "ort ed", + "M c", + "Ġread s", + "gr ad", + "ĠCol lect", + "Ġâ ĪĴ", + "ĠCap ital", + "eder ation", + "Ġemploy er", + "Ġinvolve ment", + "Ġanx iety", + "al ia", + "Ġro of", + "ĠAm ong", + "ĠDemocr at", + "Ġstat s", + "ĠV ill", + "Ġconst itutional", + "Ġrefer ring", + "itt y", + "Ġtack le", + "out ube", + "Ġback ed", + "ĠH ong", + "ĠBro ad", + "Ġe le", + "ĠO tt", + "Ġ199 2", + "h our", + "achus etts", + "C al", + "Ġdefe ated", + "Ġ8 1", + "es p", + "Ġseem ingly", + "w as", + "ĠJ enn", + "ĠK urd", + "Ġg ene", + "Ġdisc ount", + "R et", + "EC T", + "( );", + "Ġclub s", + "Ġs id", + "ĠM arsh", + "Che ck", + "Ġp p", + "ĠE ag", + "ides pread", + "Ġbe ings", + "F T", + "Ġintrodu ction", + "ĠCh ange", + "AR D", + "Ġ1 10", + "ad ows", + "ier ce", + "Ġme al", + "a uthor", + "ĠB ang", + "lah oma", + "Ġr anks", + "201 1", + "?? ??", + "m ax", + "Ġcoll apse", + "Ġop ens", + "Ġe cho", + "Ġs oph", + "Ġrac ist", + "Ġenorm ous", + "Ġw aves", + "Ġt ap", + "Ġcomprehens ive", + ". --", + "ĠR oy", + "Ġfarm ers", + "Rel ated", + "a ired", + "ron es", + "ĠC rim", + "Ġproport ion", + "Ġdesign s", + "Ġnegoti ations", + "Ġvirt ually", + "ĠBat man", + "Ġwar n", + "Ġlegit imate", + "m ate", + "Ġcon vention", + ", ,", + "net ic", + "ĠS D", + "Ġconsist ently", + "Ġcompens ation", + "Ġpunish ment", + "Ġy e", + "Ġt ie", + "ĠB ureau", + "ir lf", + "ĠB u", + "ĠA ren", + "ĠPh ilipp", + "Ġkn ife", + "Ġmem ories", + "ĠR oss", + "Ġang le", + "Ġ8 6", + "ĠTh under", + "Ġre nd", + "ĠT our", + "Ġcount s", + "s ung", + "ĠIm p", + "Ġeduc ational", + "Ġaccess ible", + "C OM", + "Ġd rew", + "y er", + "G l", + "am ine", + "OR T", + "O B", + "I B", + "m aster", + "Ġtri als", + "og y", + "h ar", + "ĠTr ust", + "Ġprefer red", + "irlf riend", + "ĠN ev", + "Ġb in", + "Ġc ow", + "P age", + "Ġsign ature", + "ĠB L", + "7 00", + "Ġret ired", + "Ġby tes", + "Ġneigh b", + "ĠLeg end", + "Ġdev ast", + "Ġsuspect ed", + "is ons", + "ĠPoké mon", + "sc ale", + "Ġcap abilities", + "Ġre vel", + "Ġche ese", + "d y", + "igr ant", + "Ġfail ing", + "b its", + "ĠHer oes", + "ĠG host", + "ĠS cient", + "Ġappoint ed", + "ur i", + "Ġinst itution", + "Ġexpand ed", + "g reg", + "Ġmonitor ing", + "Ġp odcast", + "Ġcoal ition", + "Ġ9 6", + "J o", + "Ġst olen", + "ĠS ab", + "Ġstop s", + "Ġhol iday", + "Ġint r", + "C ar", + "Bl ack", + "ĠL GBT", + "Ġwar ming", + "ĠAnd erson", + "Ġ8 9", + "Ġprodu cer", + "M ed", + "Ġaccur acy", + "ĠMar vel", + "iz abeth", + "ĠPat rick", + "m ony", + "Ġmin i", + "ac les", + "Ġover t", + "the y", + "Ġmembers hip", + "ĠV en", + "Ġex ch", + "Ġrem oval", + "ĠD ave", + "T Y", + "m ad", + "ĠF ind", + "Ġad equ", + "Ġe c", + "Ġte eth", + "Ġemot ion", + "Ġper m", + "Ġsole ly", + "d b", + "Ġextra ord", + "IG HT", + "c al", + "Ġgu idelines", + "Ġd ying", + "Ġsusp ended", + "ĠPrem ier", + "ĠAnth ony", + "el ve", + "Ġd ad", + "ĠE th", + "ĠFoot ball", + "Ġabandon ed", + "Ġ< <", + "Ġm arch", + "Ġhor ror", + "âĢ¦ \"", + "Ġchild hood", + "Ġcampaign s", + "Ġl unch", + "ĠAl bert", + "bl ock", + "âĸĪ âĸĪ", + "ound ing", + "Ġb one", + "or gan", + "ad ers", + "ĠFl ash", + "ĠDri ve", + "Ġton ight", + "Ġw ars", + "ĠF L", + "Ġform ation", + "con st", + "New s", + "Ġcom pe", + "or ious", + "ĠSt aff", + "Ġdiscuss ions", + "ĠProt ection", + "ĠJ am", + "Ġcrit eria", + "Ġinstall ation", + "Ġaccompl ish", + "iz za", + "Ġpub lisher", + "Ġresc ue", + "ĠT ry", + "U LL", + "ĠS om", + "ĠH op", + "ore t", + "th s", + "ord on", + "Ġp ocket", + "ĠIn v", + "Down load", + "ĠCr ime", + "Ġb ene", + "ĠGu ide", + "ĠAs sembly", + "Ġparam eters", + "I E", + "ĠAlex ander", + "Ġconc ert", + "ĠSc he", + "Ġsh oes", + "Ġvis iting", + "Ġrec all", + "Ġb ub", + "Ġr ural", + "Ġconc rete", + "ĠR os", + "N ext", + "R uss", + "Ġlo ans", + "ĠSh ield", + "Ġtre m", + "hem at", + "k g", + "ĠHar ris", + "is ition", + "ĠM ove", + "ĠF C", + "Ġf ate", + "ĠCh o", + "Ġt ired", + "Ġprinc ipal", + "h ist", + "ien ces", + "ath y", + "Ġse vent", + "Ġm ood", + "Ġstrateg ic", + "Ġdise ases", + "Ġfor um", + "Ġtem por", + "Ġhead quarters", + "P ar", + "ig e", + "fl ix", + "Ġgu itar", + "Ġ9 4", + "On ly", + "Ġrele ases", + "ro ph", + "================ ================", + "Ġ6 00", + "ĠContin ue", + "ig ate", + "ĠC rit", + "sy stem", + "Ġdis abled", + "Ġunex pected", + "ith ub", + "Ġuncle ar", + "ĠE st", + "Ġcontr ad", + "Ġstrateg ies", + "vent ures", + "Ġpass age", + "AM E", + "Ġimpro ving", + "Ġreve als", + "Ġdecre ase", + "ov a", + "Ġann oy", + "ĠSh ort", + "ĠL ibrary", + "Ġcy ber", + "n ell", + "ĠH ur", + "ĠC B", + "Ġphot ograp", + "U I", + "Ġs ed", + "G e", + "Ġ8 7", + "Ġd iverse", + "Ġencour aged", + "Ġcons piracy", + "Ġbird s", + "Ġoper ator", + "Ġhand ful", + "Ġclass ified", + "? )", + "Ġdram atic", + "Ġinvestig ators", + "it o", + "Ġw idespread", + "ĠR oom", + "-------------------------------- --------------------------------", + "Ġcollect ive", + "Ġjournal ist", + "St ring", + "Ġtemper atures", + "il a", + "Ġgu id", + "Ġins pect", + "Ġmiss ile", + "ĠMay or", + "Ġman ual", + "Ġsim ultane", + "Ġrat ings", + "Ġsu ck", + "Ġ9 7", + "Ġunivers al", + "Ġph arm", + "Ġdis rupt", + "ian o", + "A V", + "Ġf t", + "Ġstat ist", + "old s", + "ĠWalk er", + "ph p", + "Ġunder t", + "ĠL as", + "ish op", + "nt il", + "res hold", + "ĠWhe ther", + "M s", + "Ġden y", + "ĠCl oud", + "Ġprov ider", + "Ġsurv iv", + "ĠUp date", + "h as", + "Ġmist akes", + "ch arge", + "pl ed", + "r ity", + "Ġn ode", + "ĠMass achusetts", + "ool s", + "lic ation", + "Ġf ails", + "em ale", + "or i", + "back s", + "Ġsh irt", + "Ġ' '", + "ĠN AT", + "Ġwat ers", + "els on", + "Ġe ase", + "Ġsc ar", + "Ġcont ents", + "m ind", + "Ġcont ribution", + "Ġsh r", + "Ġhand ed", + "Ġst ability", + "Ġtra ve", + "E m", + "Ġmir ror", + "12 3", + "Ġwe igh", + "Ġf iction", + "ou ver", + "ist ant", + "r ition", + "ĠF ed", + "Ġphys ically", + "Ġst ake", + "ĠArt icle", + "ĠAr c", + "ĠLew is", + "ĠM ind", + "Ġdemonstr ate", + "Ġprof its", + "v ision", + "om ic", + "ol id", + "Ġbatt les", + "Ġdri ves", + "Ġeas tern", + "ĠS ony", + "!! !", + "ar ation", + "v ard", + "ĠG L", + "port ation", + "Ġ9 2", + "Ġlaw makers", + "Ġprotect ing", + "ĠE PA", + "Ġy eah", + "Ġsh ame", + "ol ph", + "e ven", + "x it", + "Ġatt ach", + "Ġrepresent ing", + "Ġob s", + "ĠUt ah", + "iff s", + "ĠFre edom", + "à ³", + "A K", + "Ġinc idents", + "it age", + "Ġview ers", + "c d", + "Ġm ouse", + "Ġcl ar", + "Ġaccord ance", + "Ġb ot", + "c or", + "ĠSum mer", + "he ld", + "Ġinnoc ent", + "Ġiniti ative", + "ol s", + "________________ ________________", + "Ġsp ots", + "p ace", + "Ġconvent ional", + "Ġcorpor ations", + "Ġblock ed", + "H D", + "at tered", + "Ġref ers", + "Ġbu ck", + "ĠDig ital", + "12 0", + "Ġtop ics", + "T F", + "Ä ģ", + "br id", + "re ement", + "Ġunder lying", + "ĠM ember", + "Ġinvestig ating", + "Ġpregn ancy", + "Ġtouch down", + "ĠB and", + "ĠCall er", + "Ġinst ances", + "P P", + "w a", + "G ood", + "Ġ199 1", + "ĠC old", + "Ġfear s", + "Ġrem arks", + "Ĩ Ĵ", + "at al", + "Ġm it", + "Ġexper iments", + "i pt", + "Col or", + "ind u", + "Up date", + "Ġ9 3", + "A g", + "Ġ å", + "anc ouver", + "B oth", + "Ġjud ges", + "Ob ject", + "Ġst ere", + "umb n", + "Ġparticip ation", + "ĠSt ars", + "ĠJ ere", + "Ġweek ly", + "ĠB an", + "Ġconvers ations", + "ĠP itt", + "u z", + "ĠIndian a", + "ĠK ick", + "Ġinf ection", + "Ġhero es", + "Ġsett led", + "Ġstri p", + "Ġh al", + "Ġd ump", + "ĠS ci", + "Ġl es", + "Ġref erences", + "ĠU RL", + "ĠBr idge", + "Ġwant ing", + "For ce", + "Ġex clus", + "Me anwhile", + "m n", + "Ġg entle", + "m aker", + "sen al", + "ĠG ro", + "ou ri", + "ĠR ain", + "ĠAll iance", + "Ġl ift", + "el a", + "S D", + "ĠCle veland", + "Ġrank ed", + "Ġst adium", + "Ġdead ly", + "ä ¸", + "Ġr iding", + "ar ia", + "ĠAr mor", + "Ġdocument ation", + "ĠGree ce", + "ree k", + "Ġl ens", + "ĠS a", + "Ġg ross", + "ĠE mer", + "ag ers", + "ĠD ub", + "ĠR h", + "ĠAM D", + "Ġarri val", + "Ġdes ert", + "Ġsupp lement", + "ĠRes p", + "Ġkn ee", + "Ġmarg in", + "f ont", + "og g", + "201 0", + "ĠP ir", + "ĠP rom", + "iv als", + "Ġint ake", + "Ġdifferent ly", + "ug s", + "Ġb its", + "clud ed", + "Ġsearch ing", + "ĠD u", + "um ble", + "Ġfunction al", + "ĠBalt imore", + "ĠC ould", + "Ġdes ired", + "Ġcirc uit", + "ĠL yn", + "ĠG O", + "ĠF alse", + "re pre", + "' :", + "alt ies", + "Ġmin im", + "Ġdro ve", + "ĠSh ould", + "Ġh ip", + "Ġpro s", + "Ġut ility", + "ĠN ature", + "ĠM ode", + "P resident", + "o pp", + "r at", + "form ance", + "Ġconcent ration", + "Ġf ont", + "ĠB ud", + "Ġam id", + "Ġre vers", + "ĠM L", + "B ar", + "Ġinter action", + "Ġjur isd", + "Ġspell s", + "d ep", + "f il", + "Ġcivil ians", + "ut ter", + "ĠCo oper", + "ĠBel ow", + "Ġent rance", + "Ġcon vert", + "Ġcontrovers y", + "ow ered", + "Ġcontr ary", + "Ġar c", + "ĠExec utive", + "ĠOffic er", + "Ġpack ages", + "Ġprog ressive", + "w idth", + "Ġreserv ed", + "v ol", + "ĠSam sung", + "Ġprint ed", + "Ġcent ers", + "Ġintrodu ce", + "ĠKenn edy", + "Ġodd s", + "Ġsure ly", + "Ġindepend ence", + "Ġpass engers", + "repre ne", + "ĠBe h", + "Ġl oves", + "ĠESP N", + "Ġfac ilit", + "Ġident ical", + "Ġdo ct", + "Ġpartners hip", + "con f", + "ĠH ide", + "Ġconf used", + "ĠC ow", + "M en", + "Ġw rest", + "ĠIraq i", + "Ġh oles", + "ĠStud ies", + "Ġpregn ant", + "h ard", + "Ġsign als", + "I X", + "Ġpull ing", + "Ġgrad uate", + "Ġnomine e", + "D ate", + "Ġper mitted", + "Ġâ Ĥ¬", + "ĠOk lahoma", + "St art", + "Ġauthor ized", + "Ġal arm", + "ĠC os", + "v an", + "Ġgener ations", + "c ular", + "Ġdr agon", + "ĠSoft ware", + "ĠEd ward", + "Ġcontro ller", + "S en", + "ge red", + "ĠV ik", + "Ġappro ached", + "Th ank", + "Ġcan ce", + "Ġform ula", + "ĠSm all", + "Ġweak ness", + "Ġr amp", + "it udes", + "j ud", + "Ġbrill iant", + "Ġacc us", + "s ource", + "Ġ8 00", + "ĠE vil", + "S w", + "Ġhom eless", + "we ek", + "i ens", + "r ics", + "ĠTh ird", + "T O", + "Ġorgan ic", + "Ġpresent ation", + "ag h", + "ĠDown load", + "v ation", + "Ġas sembly", + "or able", + "hold ers", + "ĠBern ie", + "ĠHel p", + "Ġt ong", + "ĠF ight", + "Ġbe ach", + "B ook", + "ĠL ic", + "Ġr ush", + "ĠR ound", + "ou p", + "ĠMar x", + "Ġcalcul ated", + "ĠDe vil", + "ĠSar ah", + "Ġoccasion ally", + "Ġbul let", + "Av ailable", + "g ate", + "Ġ9 1", + "Ġh osp", + "Ġprom ises", + "ĠH IV", + "ĠSt adium", + "ĠSt ock", + "ĠCorpor ation", + "g age", + "N G", + "ĠC redit", + "Ġs ne", + "ib l", + "Ġacc um", + "s uch", + "Ġterror ists", + "Ġconscious ness", + "ĠZ h", + "Ġdram a", + "ool a", + "pir ation", + "Ġlab our", + "ĠN in", + "Ġut ter", + "Ġdemocr atic", + "Ġass ass", + "il ation", + "Ġg est", + "Ġab road", + "Ġmet ab", + "Ġs orts", + "Ġfl av", + "U B", + "Ġm g", + "ĠNot hing", + "ĠO d", + "Ġmus ical", + "200 9", + "Ġdro ps", + "oc ated", + "ater al", + "0000 00", + "Ġg re", + "Ġequ ality", + "Ġburd en", + "Ġv ig", + "ĠLe ader", + "-------- ----", + "Ġcere mony", + "Ġf ighter", + "Ġact ors", + "Ġ æ", + "am an", + "F i", + "Ġal ign", + "put er", + "Ġe lder", + "ĠN SA", + "Ġrepresent ation", + "ĠOnt ario", + "IT H", + "usal em", + "Ġharass ment", + "itz er", + "Ġsy mp", + "Ġbox es", + "ĠD R", + "Ġman ifest", + "at re", + "Ġ ^", + "Ġd ies", + "le ton", + "Ġmiss ions", + "et he", + "Ġres olve", + "Ġfollow ers", + "Ġas c", + "Ġk m", + "l ord", + "am med", + "Ġsil ent", + "ĠAssoci ated", + "Ġtim ing", + "Ġprison ers", + "ĠK ings", + "ĠF ive", + "Ġtow er", + "Ġappro aches", + "Ġprecise ly", + "Ġb ureau", + "ĠM other", + "ĠI ss", + "Ġkey board", + "it ual", + "Ġfund ed", + "Ġstay ing", + "Ġpsych ological", + "Ġm ile", + "ĠLe on", + "ĠBar b", + "w ill", + "Ġw ider", + "ĠAtl antic", + "Ġt ill", + "ĠR ome", + "ro t", + "Ġaccomp an", + "Ġfl our", + "ac o", + "W orld", + "ĠExp ress", + "ĠY u", + "C or", + "Ġple ased", + "part y", + "Ġpoint ing", + "Ġinf lation", + "Ġro y", + "Ġ ),", + "ain er", + "Ġwedd ing", + "orm on", + "Ġrequ iring", + "Ġqual ified", + "Ġse gment", + "EN D", + "Ġs izes", + "e als", + "Ġcor rupt", + "ass ador", + "Ġcele b", + "Ġdream s", + "ĠM ess", + "Ġcheck ing", + "ĠV ersion", + "Ġprep aring", + "Ġact ively", + "ĠD iff", + "Ġl ux", + "ĠW inter", + "act eria", + "ĠN E", + "Ġdep uty", + "Ġtrans gender", + "Ġsum mary", + "Ġin her", + "er ies", + "ch ar", + "ĠY an", + "Ġkn ock", + "ĠP ath", + "Ġl ip", + "roll er", + "Ġimp ression", + "Ġcelebr ate", + "Ġsl ide", + "Ġgu ests", + "Ġcl ip", + "F S", + "Ġsav ings", + "Ġcapt ain", + "Ġleg acy", + "ĠDen ver", + "Ġw ounded", + "tab oola", + "AC T", + "Ġpurs ue", + "Ġo xy", + "Ġ q", + "Ġsem i", + "ĠN eed", + "ĠAff airs", + "Ġob sc", + "Ġcheck ed", + "Ġd ual", + "C ode", + "ĠM D", + "le m", + "ult y", + "Ġ ©", + "ĠEl izabeth", + "Ġcent uries", + "ard ed", + "s rc", + "Ġev ident", + "enn is", + "at in", + "Ġunemploy ment", + "ĠMar io", + "Ġint im", + "Ch rist", + "Ġbi ological", + "Ġsold ier", + "ĠAdd ed", + "Ġm ath", + "ĠG il", + "Ġbi as", + "Ġd ating", + "ĠO cean", + "Ġm ice", + "M us", + "h ire", + "ĠT es", + "Ser ver", + "lim ited", + "S ize", + "Ġmet ers", + "Ġrock et", + "es see", + "Ġcertific ate", + "ĠIran ian", + "AS S", + "Ġgr id", + "D ec", + "Ġro lling", + "com mun", + "ĠSwed en", + "b ury", + "Ġtiss ue", + "Ġrac ism", + "ĠL ocal", + "Ġmyster y", + "Ġexam ine", + "Ġst em", + "Ġs its", + "Ġhop ed", + "ot ing", + "Ġdial ogue", + "Ġpers u", + "W atch", + "l ay", + "M AN", + "Ġch ronic", + "ĠPort land", + "mark et", + "ĠS EC", + "Ġparalle l", + "Ġsc andal", + "Ġcar ries", + "Ġphenomen on", + "h uman", + "ack er", + "ĠO x", + "Ġretire ment", + "tain ment", + "ov ie", + "ĠG ear", + "Ġd uties", + "Ġdo se", + "Ġsc roll", + "M B", + "in f", + "Ġsa uce", + "Ġland scape", + "red dit", + "ĠChampions hip", + "ĠRed dit", + "al id", + "Ġco in", + "Ġover s", + "Ġpost ing", + "ab out", + "Ġf el", + "and y", + "Ġb old", + "Ġfocus ing", + "e ffect", + "G R", + "Ġde emed", + "Ġrecommend ations", + "Ġste pped", + "Ġvot er", + "ĠDe ep", + "ĠInst agram", + "Ġmoder ate", + "ĠMary land", + "Ġrestrict ed", + "ĠM B", + "ĠCh all", + "Ġto b", + "Ġc ir", + "ĠO cc", + "ĠE ver", + "Ġcoll aps", + "IN FO", + "= -", + "ĠP ict", + "ĠAcc ount", + "n c", + "Ġo ught", + "Ġex port", + "Ġdr unk", + "( '", + "Ġw ise", + "ĠM ort", + "ne cess", + "Ġan cest", + "ĠInc re", + "Ġfrequ ent", + "m ir", + "Ġinterpret ation", + "Ġdepend ent", + "Ġco ins", + "ĠB ol", + "V ideo", + "ĠJust in", + "Ġfat al", + "Ġcook ing", + "Ġconf usion", + "ip her", + "Ġcust ody", + "ĠMor gan", + "om ach", + "ĠGovern or", + "Ġrestaur ants", + "el ing", + "Ġacknowled ged", + "Ġthe r", + "Ġgen es", + "ch ing", + "He y", + "Ġtact ics", + "ĠMex ican", + "Ġv end", + "Ġhe s", + "qu er", + "Ġnot ing", + "ĠCamer on", + "Ġtarget ing", + "ro ck", + "Ġcred its", + "Ġemot ions", + "Ġrepresent atives", + "new s", + "Ġlegisl ative", + "Ġrem oving", + "Ġtweet ed", + "ĠCar ter", + "ĠF ixed", + "Ġfor cing", + "Ġspeak er", + "Ġm ales", + "ĠViet nam", + "l ined", + "Ġconcept s", + "Ġvo ices", + "o ir", + "ĠT rib", + "W he", + "ĠJer usalem", + "ĠS ant", + "Ġc ul", + "Ġl ady", + "ĠHaw ai", + "Ġar ts", + "ĠIn n", + "ĠMach ine", + "ĠEm peror", + "Ġsl ot", + "g ly", + "ĠPro cess", + "II I", + "Ġathlet es", + "ĠTem ple", + "ĠRep resent", + "Ġpres c", + "Ġt ons", + "Ġgold en", + "Ġp unch", + "ĠG R", + "iver pool", + "Ġen act", + "Ġlob by", + "Ġm os", + "Ġpick ing", + "Ġlif etime", + "Ġcogn itive", + "E ach", + "z o", + "Ġd ub", + "Ġcons ists", + "ol n", + "Ġf estival", + "am ous", + "Ġint ellig", + "w ords", + "ĠSm art", + "Ġde le", + "Ġl apt", + "Ġmag ical", + "ĠS in", + "b us", + "ur ities", + "igh th", + "ĠRub y", + "ĠS ure", + "ol ving", + "Ġj un", + "O ST", + "Ġimp osed", + "Ġast ron", + "Ġcor rel", + "ĠN S", + "ĠK it", + "ĠF uture", + "b urn", + "Ġimm une", + "oc us", + "Ġcour ses", + "ĠSt ring", + "Ġle an", + "Ġg host", + "Ġout comes", + "Ġexp ense", + "Ġevery day", + "Ġaccept able", + "A h", + "Ġequ ipped", + "Ġor ange", + "F R", + "ĠD utch", + "Th ough", + "ĠR ank", + "Q U", + "ĠRober ts", + "wh at", + "re nd", + "Ġdisapp ear", + "Ġsp awn", + "ĠL am", + "o is", + "Ġdes erve", + "Ġmin imal", + "Ġnerv ous", + "ĠW ould", + "Ġro ok", + "ĠV ancouver", + "Ġres ign", + "sh ire", + "ĠW orks", + "ĠB uild", + "Ġafford able", + "ĠG ary", + "ĠAren a", + "Ġh anging", + "Ġimpl ications", + "ĠS ong", + "Ġmain taining", + "Ġgu ards", + "C ON", + "Ġder ived", + "Ġexecut ed", + "Ġthe ories", + "Ġqu oted", + "ĠAnd re", + "og a", + "sel ess", + "in fo", + "ĠBel g", + "Ġt ears", + "ĠSur v", + "Ġbirth day", + "ig ious", + "im mer", + "Ġspect rum", + "Ġarchitect ure", + "Ġrec ruit", + "arm a", + "T able", + "Ġmon sters", + "ĠG ov", + "Ġdest ination", + "Ġattract ive", + "Ġf oss", + "ĠMore over", + "Ġpres ents", + "TH E", + "Ġrep ly", + "pt on", + "Ġc um", + "Ġdel ight", + "Ġaffect s", + "Ġdon ations", + "ĠT oy", + "ĠH im", + "M ENT", + "Ġover come", + "it ched", + "ĠFant asy", + "ĠH at", + "ĠBe ast", + "b ott", + "Ġinvestig ations", + "R un", + "Ġhun ting", + "d i", + "f und", + "Ġs essions", + "est yle", + "Ġport ray", + "oid s", + "Y eah", + "Ġcommun icate", + "Ġcom edy", + "ĠY ang", + "Ġbel t", + "ĠMar ine", + "Ġpredict ed", + "Pl ay", + "Ġimportant ly", + "Ġremark able", + "Ġelim inate", + "D avid", + "Ġb ind", + "V ID", + "Ġadvoc ates", + "ĠG aza", + "im p", + "D B", + "ĠN a", + "ĠSim ilar", + "I ES", + "Ġchar ity", + "v as", + "m ath", + "Ġâ ĸ", + "ok er", + "nd um", + "Ġcap s", + "ĠH al", + "2 000", + "e an", + "Ġfle et", + "Ġrec re", + "R ight", + "Ġsleep ing", + "ij ing", + "k ind", + "Ġdesign ated", + "à ¤", + "Ġanim ation", + "ke e", + "ĠInt rodu", + "Ġ/ >", + "Ġdelay ed", + "Ġtrem end", + "Ġcur ious", + "U se", + "Ġle ct", + "d am", + "Ġinnov ation", + "ĠPoint s", + "Ġload ing", + "Ġdisp ute", + "ct ic", + "ird s", + "ĠB Y", + "Ġn urs", + "ĠVal ue", + "ION S", + "ĠH um", + "Ġtem plate", + "m ers", + "Ġappear ances", + "ĠEnter tainment", + "Ġtransl ation", + "Ġsa ke", + "Ġbene ath", + "Ġin hib", + "Ġe uro", + "abet es", + "Ġstud ying", + "ĠM as", + "Ġper ceived", + "Ġexam ined", + "Ġe ager", + "Ġco aches", + "Ġim per", + "ch i", + "Ġprodu ces", + "\" ).", + "ĠEvery one", + "Ġm unicip", + "Ġg irlfriend", + "Ġh ire", + "ĠV ice", + "Ġsu itable", + "op y", + "Ġin equ", + "ĠD uke", + "f ish", + "f irst", + "ĠO bs", + "Ġinter ior", + "ĠBru ce", + "ĠR y", + "Ġanal ys", + "Ġconsider able", + "Ġfore cast", + "Ġf ert", + "ors hip", + "ĠD rug", + "ĠA LL", + ": \"", + "th ur", + "ĠM ail", + "Ġball ot", + "Ġinst antly", + "ĠCh annel", + "Ġp icks", + "Ġ198 9", + "Ġt ent", + "ol i", + "Ġcivil ian", + "b ling", + "ell o", + "b u", + "Ġin ch", + "Ġlog o", + "Ġcooper ation", + "Ġwal ks", + "Ġinvest ments", + "Ġimp rison", + "ĠF estival", + "ĠK y", + "Ġleg ally", + "Ġg ri", + "ch arg", + "S l", + "Ġthreat ening", + "du ction", + "fl ow", + "Ġdismiss ed", + "ibr aries", + "c ap", + "e le", + "ĠMc G", + "ĠHar vard", + "ĠConserv ative", + "ĠC BS", + "p ng", + "Ġro ots", + "ĠH aving", + "umb led", + "ĠF un", + "\\ /", + "ĠS earch", + "ple x", + "Ġdiscuss ing", + "Ġcontin u", + "ĠT ai", + "ĠW ik", + "F ree", + "f it", + "Ġref use", + "Ġmanag ing", + "Ġsy nd", + "ip edia", + "w alk", + "Ġprofession als", + "Ġguid ance", + "Ġunivers ities", + "Ġas semb", + "unt u", + "F inally", + "AS E", + "ĠAut o", + "ĠH ad", + "Ġann iversary", + "L D", + "ĠD ur", + "ĠUlt imate", + "ih ad", + "pro duct", + "Ġtrans it", + "Ġrest ore", + "Ġexpl aining", + "Ġass et", + "Ġtransfer red", + "Ġbur st", + "ap olis", + "ĠMag azine", + "ĠC ra", + "ĠB R", + "gg ed", + "ĠH E", + "M ich", + "b et", + "ĠL ady", + "yl um", + "erv es", + "Ġme ets", + "wh ite", + "L og", + "Ġcorrespond ing", + "Ġins isted", + "G G", + "Ġsurround ed", + "Ġt ens", + "Ġl ane", + "Ġco inc", + "h ome", + "Ġexist ed", + "ect ed", + "ĠDou ble", + "lam m", + "Ġske pt", + "ex p", + "Ġper ception", + "ie v", + "ĠBe ing", + "o ft", + "Ġadop t", + ". :", + "] ;", + "Wind ows", + "Ġsatell ite", + "AS H", + "Ġinf ant", + "d escription", + "ĠMe anwhile", + "c m", + "oc a", + "ĠT reat", + "act or", + "Ġtob acco", + "ĠN orm", + "em ption", + "Ġfl esh", + "Ġj e", + "o op", + "ĠHe aven", + "Ġbe ating", + "an im", + "Ġgather ing", + "Ġcult iv", + "G O", + "ab e", + "ĠJon athan", + "ĠSaf ety", + "Ġbad ly", + "pro t", + "Ġcho osing", + "Ġcontact ed", + "Ġqu it", + "Ġdist ur", + "Ġst ir", + "Ġto ken", + "D et", + "ĠP a", + "Ġfunction ality", + "00 3", + "s ome", + "Ġlimit ations", + "Ġmet h", + "b uild", + "con fig", + "N T", + "re ll", + "ble m", + "ĠM om", + "Ġveter ans", + "ĠH u", + "Ġtrend s", + "are r", + "ĠG iven", + "ĠCa ption", + "m ay", + "AS T", + "Ġwond ering", + "ĠCl ark", + "n ormal", + "Ġsepar ated", + "Ġdes p", + "st ic", + "b rew", + "Ġrel ating", + "ĠN ik", + "ĠF arm", + "Ġenthus i", + "g ood", + "d eb", + "Ġactiv ist", + "Ġm art", + "Ġexplos ion", + "ĠEconom ic", + "L ink", + "Ġins ight", + "Ġconven ient", + "Ġcounter part", + "su pport", + "ĠV irt", + "ag en", + "ĠTenn essee", + "ĠSim on", + "ĠA ward", + "OC K", + "ĠF igure", + "Ġoverse as", + "Ġpr ide", + "ĠC as", + "n ote", + "m g", + "C urrent", + "Ġdispl ays", + "cont ent", + "Ġtravel ing", + "Ġhosp itals", + "ĠFin ancial", + "ĠP ast", + "Ġdefend ant", + "Ġstream ing", + "m ble", + "ĠBer lin", + "uk i", + "Ġdist ribut", + "Ġant ib", + "Ġch ocolate", + "ĠCast le", + "Ġinter rupt", + "ĠR ow", + "Ġconvers ion", + "Ġbug s", + "ĠR ather", + "li est", + "L Y", + "ĠJe an", + "com mon", + "ak h", + "Ġ1 30", + "ot ton", + "ĠDe an", + "Ġam endment", + "Ġgame play", + "ĠWar ren", + "od a", + "Ġhigh lights", + "Ġir re", + "ĠNAT O", + "Ġball s", + "Ġdemand ing", + "U RE", + "ĠL uke", + "F igure", + "st op", + "on ia", + "z one", + "iz ers", + "ĠW R", + "Ġaward ed", + "Ġregul atory", + "ĠH art", + "ĠS N", + "pl ing", + "Ġs our", + "ĠP ixel", + "us ive", + "Ġf et", + "ĠS ent", + "Ġautom atic", + "Ġf er", + "vern ment", + "ĠKh an", + "T ON", + "f ather", + "Ġextraord inary", + "th rop", + "ĠP ython", + "ĠG PU", + "Ġsex ually", + "Ġdesk top", + "it ivity", + "ĠAnton io", + "Ġo rient", + "Ġe ars", + "ob by", + "ous es", + "vertis ements", + "Ġmanufacture rs", + "ic ient", + "min ute", + "Ġconv iction", + "Ġg arden", + "p ublic", + "Ġsatisf ied", + "f old", + "O K", + "Ġin hab", + "ĠTh ink", + "Ġprogram me", + "Ġst omach", + "Ġcoord in", + "Ġh oly", + "Ġth reshold", + "Ġr het", + "Ġser ial", + "Ġemploy ers", + "ĠEvery thing", + "ra h", + "Ġb other", + "Ġbr ands", + "Val ue", + "ĠT ed", + "ĠPlan et", + "Ġp ink", + "ĠFurther more", + "s a", + "P E", + "re ck", + "ĠUS D", + "ot te", + "Ġ& &", + "Ġland ed", + "g ets", + "Ġprodu cers", + "Ġhealth care", + "Ġdomin ant", + "Ġdest ro", + "Ġam ended", + "ch ron", + "Ġf its", + "ĠSy d", + "ĠAuthor ity", + "AT CH", + "Ġfight s", + "ĠL LC", + "Ġ-- -", + "ĠCor p", + "Ġtox ic", + "spe cific", + "ĠC orn", + "ĠChe l", + "Ġtele phone", + "ĠP ant", + "Ġmyster ious", + "aun ch", + "od ox", + "med ia", + "Ġwitness es", + "ag u", + "Ġquestion ed", + "ĠBre xit", + "ĠRem ember", + "ene z", + "Ġend orse", + "iat ric", + "ĠId ent", + "Ġridic ulous", + "1 10", + "Ġpr ayer", + "Ġscient ist", + "Ġ19 50", + "ĠA qu", + "Ġunder ground", + "ĠU FC", + "m are", + "ĠL ater", + "w ich", + "Ġsubsc rib", + "Ġhost s", + "Ġer r", + "Ġgr ants", + "ant om", + "Ġsum mon", + "ear ly", + "ĠC lear", + "ĠPr im", + "Ġsusp ension", + "Ġguarant eed", + "app er", + "Ġr ice", + "ĠSe an", + "ĠSh in", + "Ġrefere ndum", + "Ġfl ed", + "r ust", + "Ġ3 60", + "ter y", + "Ġsh ocked", + "B R", + "ĠO il", + "ĠAll ah", + "Ġpart ly", + "Ġign or", + "Ġtrans mission", + "Ġhom osexual", + "ivers al", + "Ġhop efully", + "ãĤ ¤", + "Ġless on", + "L eg", + "Ġ ..", + "Y et", + "t able", + "app ropri", + "re tt", + "Ġbo ards", + "Ġincor rect", + "Ġb acteria", + "ar u", + "am ac", + "Ġsn ap", + ".' \"", + "Ġpar ad", + "t em", + "he art", + "Ġav ailability", + "Ġw isdom", + "Ġ( +", + "Ġpri est", + "ĠÂł ĠÂł", + "O pen", + "Ġsp an", + "Ġparam eter", + "Ġconv ince", + "Ġ( %)", + "r ac", + "Ġf o", + "Ġsafe ly", + "Ġconver ted", + "ĠOlymp ic", + "Ġres erve", + "Ġhe aling", + "ĠM ine", + "M ax", + "Ġin herent", + "ĠGra ham", + "Ġinteg rated", + "D em", + "Ġpip eline", + "Ġapp lying", + "Ġem bed", + "ĠCharl ie", + "Ġc ave", + "200 8", + "Ġcons ensus", + "Ġre wards", + "P al", + "ĠHT ML", + "Ġpopular ity", + "look ing", + "ĠSw ord", + "ĠAr ts", + "' )", + "Ġelect ron", + "clus ions", + "Ġinteg rity", + "Ġexclus ively", + "Ġgr ace", + "Ġtort ure", + "Ġburn ed", + "tw o", + "Ġ18 0", + "P rodu", + "Ġent reprene", + "raph ics", + "Ġg ym", + "ric ane", + "ĠT am", + "Ġadministr ative", + "Ġmanufacture r", + "Ġ vel", + "ĠN i", + "Ġisol ated", + "ĠMedic ine", + "Ġback up", + "Ġpromot ing", + "Ġcommand er", + "Ġfle e", + "ĠRus sell", + "Ġforg otten", + "ĠMiss ouri", + "Ġres idence", + "m ons", + "Ġrese mb", + "Ġw and", + "Ġmeaning ful", + "P T", + "Ġb ol", + "Ġhe lic", + "Ġwealth y", + "Ġr ifle", + "str ong", + "row ing", + "pl an", + "as ury", + "âĢ¦ .", + "Ġexpand ing", + "ĠHam ilton", + "Ġrece ives", + "S I", + "eat ures", + "ĠAn im", + "RE E", + "P ut", + "Ġbrief ly", + "ri ve", + "Ġstim ul", + "Ġ`` (", + "Ġ __", + "Ġch ip", + "Ġha z", + "Ġpri ze", + "ĠTh ings", + "AC E", + "ul in", + "d ict", + "ok u", + "Ġassoci ate", + "ock ets", + "y outube", + "St ory", + "ateg ory", + "Ġm ild", + "ail ing", + "ĠY e", + "O rig", + "ĠK a", + "or ig", + "Ġpropag anda", + "Ġan onymous", + "Ġstrugg led", + "Ġout rage", + "AT ED", + "ĠBe ijing", + "r ary", + "Ġle ather", + "Ġworld s", + "Ġbroad er", + "12 5", + "id al", + "ĠBet ter", + "Ġt ear", + "E xt", + "Ġpropos als", + "Ġit er", + "ĠSqu ad", + "Ġvol unt", + "m i", + "D id", + "ĠP u", + "p in", + "Ġspeak ers", + "Ġb orders", + "Ġfig ured", + "= '", + "Ġsimultane ously", + "aed a", + "Ġcharg ing", + "Ġur ged", + "Ġcon j", + "25 6", + "ĠG ordon", + "mer ce", + "Ġdocument ary", + "Sh are", + "it ol", + "ON E", + "ĠG arden", + "h att", + "ĠThom pson", + "ane ous", + "ap ore", + "Ġt anks", + "Ġless ons", + "tr ack", + "Ġout standing", + "Ġvolunte ers", + "Ġsp ray", + "Ġmanag ers", + "l arge", + "Ġcamp s", + "Ġart ificial", + "ĠR u", + "Ġb ags", + "th al", + "Ġcompat ible", + "ĠBl ade", + "Ġf ed", + "Ġarg ues", + "F I", + "Ġunf air", + "Ġcor n", + "Ġoff set", + "Ġdirect ions", + "Ġdisappoint ed", + "ĠCon vention", + "Ġview ing", + "M E", + "oc ity", + "Ġtown s", + "Ġlay ers", + "Ġro lled", + "Ġjump ed", + "Ġatt ribute", + "Ġun necess", + "inc oln", + "Ġsupp ose", + "ĠNet her", + "ch a", + "Ġbur ied", + "Ġsix th", + "B en", + "ress ing", + "OU R", + "Ġw ound", + "Ġcy cl", + "Ġmechan isms", + "Ġcongress ional", + "ĠE lement", + "Ġagre ements", + "Ġdec or", + "Ġclos est", + "ĠM it", + "Go ogle", + "} }", + "Ġm ixture", + "Ġflu id", + "S ign", + "ĠSch olar", + "Ġp ist", + "ask et", + "ab ling", + "Ġrac ing", + "he ro", + "ri el", + "ass y", + "Ġche aper", + "b en", + "Ġvert ical", + "amac are", + "ĠRead ing", + "g ments", + "Ġhelic op", + "Ġsacr ifice", + "ay a", + "p aren", + "V A", + "ĠL es", + "ĠStud io", + "Ġviol ations", + "ĠAn na", + "ac er", + "é ¾", + "ĠR at", + "ĠBe ck", + "ĠD ick", + "ĠA CT", + "Ġcomp osition", + "Ġtext ure", + "ĠO wn", + "Ġsmart phone", + "ĠN A", + "Ġfor b", + "im port", + "Ġdef ending", + "il st", + "re r", + "Ġo h", + "ĠJere my", + "Ġbank ing", + "cept ions", + "Ġrespect ive", + "/ .", + "Ġdr inks", + "ĠW i", + "Ġb ands", + "ĠL iverpool", + "Ġg rip", + "ĠB uy", + "Ġopen ly", + "Ġreview ed", + "per t", + "Ġver ify", + "ĠCo le", + "ĠW ales", + "M O", + "Ġun pre", + "Ġshel ter", + "ĠIm perial", + "Ġgu i", + "ĠD ak", + "Ġsuggest ions", + "Ġexplicit ly", + "Ġsl ave", + "Ġblock chain", + "Ġcompet ing", + "Ġprom ising", + "S ON", + "Ġsoc cer", + "Ġconst itution", + "4 29", + "Ġdist ract", + "ĠU ser", + "es ides", + "ĠMet hod", + "ĠTok yo", + "Ġaccompan ied", + "Cl ient", + "s ur", + "al og", + "Ġident ification", + "Ġinv asion", + "as ma", + "Ġindust ries", + "pp ers", + "Ġsub tle", + "ĠUn it", + "n atural", + "Ġsurv ived", + "Ġfl aw", + "ĺ ħ", + "ĠH oll", + "Ġdef icit", + "Ġtut orial", + "ĠCh ance", + "Ġarg uing", + "Ġcontem porary", + "Ġinteg ration", + "for ward", + "Ġt um", + "it is", + "Ġh iding", + "ĠD omin", + "ĠT an", + "ĠB uilding", + "ĠV in", + "Ġspokes person", + "ĠNot es", + "Ġemer ging", + "Ġprepar ation", + "Ġpro st", + "Ġsuspect s", + "Ġaut onom", + "D escription", + "Ġdeal t", + "ĠP ear", + "Ġstead y", + "Ġdecre ased", + "Ġso vere", + "ĠCl in", + "Ġgrad ually", + "ors es", + "ĠW AR", + "S erv", + "ãĤ ¢", + "h r", + "Ġd irty", + "ĠB arn", + "ĠB C", + "Ġd il", + "Ġcal endar", + "Ġcompl iance", + "Ġch amber", + "b b", + "Ġpass enger", + "ate ful", + "ĠT itle", + "ĠSyd ney", + "ĠG ot", + "Ġdark ness", + "Ġdef ect", + "Ġpack ed", + "ass ion", + "Ġgod s", + "Ġh arsh", + "IC K", + "le ans", + "Ġalgorith m", + "Ġoxy gen", + "Ġvis its", + "Ġbl ade", + "Ġkil omet", + "ĠKent ucky", + "Ġkill er", + "P ack", + "enn y", + "Ġdiv ine", + "Ġnom ination", + "be ing", + "Ġeng ines", + "Ġc ats", + "Ġbuff er", + "ĠPh ill", + "Ġtra ff", + "AG E", + "Ġtong ue", + "Ġrad iation", + "ere r", + "m em", + "ĠExpl icit", + "é¾ į", + "Ġcou ples", + "Ġphys ics", + "ĠMc K", + "Ġpolit ically", + "aw ks", + "ĠBl oom", + "Ġwor ship", + "e ger", + "ut er", + "ĠF O", + "Ġmat hemat", + "Ġsent enced", + "Ġdis k", + "ĠM arg", + "Ġ/ *", + "P I", + "Ġoption al", + "Ġbab ies", + "Ġse eds", + "ĠScott ish", + "Ġth y", + "] ]", + "ĠHit ler", + "P H", + "ng th", + "Ġrec overed", + "ing e", + "Ġpow der", + "Ġl ips", + "Ġdesign er", + "Ġdis orders", + "Ġcour age", + "Ġch aos", + "\" },{\"", + "Ġcar rier", + "b ably", + "H igh", + "ĠR T", + "es ity", + "l en", + "Ġrout es", + "u ating", + "F il", + "N OT", + "w all", + "s burgh", + "Ġeng aging", + "ĠJava Script", + "ore r", + "li hood", + "Ġun ions", + "ĠF ederation", + "ĠTes la", + "Ġcomple tion", + "ĠT a", + "Ġprivile ge", + "ĠOr ange", + "Ġne ur", + "paren cy", + "Ġb ones", + "Ġtit led", + "Ġprosecut ors", + "ĠM E", + "Ġengine er", + "ĠUn iverse", + "ĠH ig", + "n ie", + "o ard", + "Ġheart s", + "ĠG re", + "uss ion", + "Ġmin istry", + "Ġpen et", + "ĠN ut", + "ĠO w", + "ĠX P", + "in stein", + "Ġbul k", + "S ystem", + "ic ism", + "ĠMarket able", + "Ġpre val", + "Ġpost er", + "Ġatt ending", + "ur able", + "Ġlicens ed", + "ĠG h", + "et ry", + "ĠTrad able", + "Ġbl ast", + "à ¤", + "ĠTit an", + "ell ed", + "d ie", + "H ave", + "ĠFl ame", + "Ġprof ound", + "Ġparticip ating", + "Ġan ime", + "ĠE ss", + "Ġspec ify", + "Ġregard ed", + "ĠSpe ll", + "Ġs ons", + "own ed", + "Ġm erc", + "Ġexper imental", + "land o", + "h s", + "ĠDun geon", + "in os", + "Ġcomp ly", + "ĠSystem s", + "ar th", + "Ġse ized", + "l ocal", + "ĠGirl s", + "ud o", + "on ed", + "ĠF le", + "Ġconstruct ed", + "Ġhost ed", + "Ġsc ared", + "act ic", + "ĠIs lands", + "ĠM ORE", + "Ġbl ess", + "Ġblock ing", + "Ġch ips", + "Ġev ac", + "P s", + "Ġcorpor ation", + "Ġo x", + "Ġlight ing", + "Ġneighb ors", + "ĠU b", + "ar o", + "Ġbe ef", + "ĠU ber", + "F acebook", + "ar med", + "it ate", + "ĠR ating", + "ĠQu ick", + "Ġoccup ied", + "Ġaim s", + "ĠAdd itionally", + "ĠInt erest", + "Ġdram atically", + "Ġhe al", + "Ġpain ting", + "Ġengine ers", + "M M", + "ĠM ust", + "Ġquant ity", + "P aul", + "Ġearn ings", + "ĠPost s", + "st ra", + "ãĥ¼ ãĥ", + "Ġst ance", + "Ġdro pping", + "sc ript", + "Ġd ressed", + "M ake", + "Ġjust ify", + "ĠL td", + "Ġprompt ed", + "Ġscr ut", + "Ġspeed s", + "ĠGi ants", + "om er", + "ĠEd itor", + "Ġdescrib ing", + "ĠL ie", + "ment ed", + "Ġnow here", + "oc aly", + "Ġinst ruction", + "fort able", + "Ġent ities", + "Ġc m", + "ĠN atural", + "Ġinqu iry", + "Ġpress ed", + "iz ont", + "for ced", + "Ġra ises", + "ĠNet flix", + "ĠS ide", + "Ġout er", + "Ġamong st", + "im s", + "ows ki", + "Ġclim b", + "ne ver", + "Ġcomb ine", + "d ing", + "Ġcomp r", + "Ġsignific ance", + "Ġremem bered", + "ĠNev ada", + "ĠT el", + "ĠSc ar", + "ĠWar riors", + "ĠJ ane", + "Ġcou p", + "b as", + "Ġtermin al", + ", -", + "O H", + "Ġt ension", + "Ġw ings", + "ĠMy ster", + "�� ��", + "ĠUn like", + "val id", + "viron ments", + "ĠAl i", + "Ġn aked", + "book s", + "ĠM un", + "ĠG ulf", + "Ġd ensity", + "Ġdim in", + "Ġdesper ate", + "Ġpres idency", + "Ġ198 6", + "h y", + "IN D", + "Ġun lock", + "im ens", + "Ġhand led", + "ĠE b", + "Ġdisapp eared", + "Ġgen re", + "Ġ198 8", + "Ġdetermin ation", + "St ream", + "ik o", + "ap ters", + "Ġacknow ledge", + "J an", + "Ġcapital ism", + "P at", + "Ġ20 20", + "Ġpain ful", + "Ġcur ve", + "Ġbom bs", + "st orm", + "ĠMet al", + "en cer", + "ĠF ig", + "ĠA aron", + "anc hes", + "Ġins piration", + "Ġexha ust", + "t ains", + "ash i", + "Ġdesc ript", + "Ġr itual", + "ĠChel sea", + "Ġpromot ion", + "ĠH ung", + "ĠW ard", + "iv a", + "ĠE T", + "Ġto ss", + "all ow", + "ĠFranc is", + "D ep", + "Ġhapp iness", + "ĠGl ass", + "Ġbet a", + "Ġstreng then", + "N E", + "o a", + "Ġbutt ons", + "ĠMur ray", + "Ġkick ed", + "Qu est", + "ĠT alk", + "ĠS everal", + "ĠZ ero", + "Ġdr one", + "ul k", + "Ġc am", + "ĠM obile", + "Ġprevent ing", + "Ġret ro", + "ĠA x", + "Ġcru el", + "Ġflo at", + ". ),", + "Ġfil ing", + "ĠGr ant", + "ĠB or", + "Ġr ib", + "Ġchampions hip", + "ĠM erc", + "Ġsty les", + "Ġc ake", + "Ġbuild s", + "ĠS elf", + "io x", + "Ġep ic", + "oy d", + "B el", + "ĠSt ew", + ". (", + "ah u", + "ĠBe yond", + "Ġout s", + "Ġsol o", + "ĠT ree", + "Ġpres erve", + "Ġt ub", + "AR E", + "ro c", + "ĠIm pro", + "ĠW right", + "Ġbu nd", + "Ġtr aged", + "Ġoccas ional", + "b ian", + "Sec ond", + "r ons", + "Ġinter actions", + "form ed", + "s ing", + "Ġown s", + "Ġh ockey", + "Gener al", + "Ġlog ical", + "Ġexp end", + "Ġesc al", + "ĠGr iff", + "ĠC rown", + "ĠRes erve", + "Ġsto pping", + "Ġexc use", + "sec ond", + "Ġoper ated", + "Ġre aches", + "ĠMal ays", + "Ġpoll ution", + "ĠBrook lyn", + "Ġde lete", + "Ġhas h", + "Bl ock", + "ah a", + "âĢ ³", + "Ġsh orter", + "p iece", + "> >>", + "ĠM ormon", + "t or", + "Ġpartic les", + "ĠB art", + "ry ption", + "Ġad min", + "Ġsqu ee", + "VID IA", + "Ġcreat or", + "iam eter", + "ic ular", + "N BC", + "Ġgrab bed", + "Ġn odd", + "Ġr ated", + "Ġrot ation", + "Ġgr asp", + "Ġexcess ive", + "ĠE C", + "ĠWh it", + "Ġinvent ory", + "ault s", + "ĠF B", + "Ġe cosystem", + "Ġbill ions", + "Ġvent ure", + "n amed", + "Ġdef ender", + "out e", + "Inst ead", + "ir able", + "W ar", + "Ġassum ption", + "Ġb ite", + "Ġearth qu", + "t ail", + "sp ace", + "Ġgif ts", + "boy s", + "Ġinev itable", + "Ġstruct ural", + "Ġbenef icial", + "Ġcompe lling", + "h ole", + "erv ation", + "Ġco at", + "o j", + "inc arn", + "ĠY ears", + "Ġdetermin ing", + "Ġrhet oric", + "Ġbound aries", + "Ġwh ites", + "A nt", + "add y", + ") -", + "ra ham", + "eter min", + "Ġhar vest", + "ĠCon c", + "Ġlapt op", + "ĠM atch", + "Ġenjoy ing", + "cc a", + "oll ar", + "Ġtri ps", + "Ġadd iction", + "ĠS ak", + "Ġpow ered", + "Ġc ous", + "ĠRuss ians", + "ie re", + "Ġret rie", + "qu ality", + "Ġdiff er", + "Ġking dom", + "ĠL aur", + "ĠCap itol", + "Ġcon clusions", + "ĠAl tern", + "ĠN av", + "Ġtrans parent", + "B ER", + "G roup", + "ĠCom plete", + "Ġinf er", + "Ġint rig", + "Ġins ane", + "R O", + "oph ob", + "is en", + "qu al", + "Mich ael", + "Ġm useum", + "ĠP ope", + "Ġres et", + "r ative", + "f ive", + "Ġagg reg", + "itte es", + "osit ory", + "Ġcar b", + "ĠRec ord", + "Ġdec ides", + "ĠF ix", + "Ġexcept ions", + "ĠCommission er", + "un s", + "ĠEnvironment al", + "Ġlegend ary", + "ist ence", + "Ġtun nel", + "k m", + "Ġins ult", + "Ġt roll", + "Ġsh ake", + "Ġdet ention", + "qu es", + "ĠCh rome", + "ĠF iles", + "Ġsub t", + "Ġprospect s", + "Ġpro l", + "re nder", + "pro of", + "Ġperform ances", + "St r", + "Ġh ref", + "ern ame", + "Ġachieve ment", + "Ġf ut", + "F ull", + "ĠLe ban", + "go ogle", + "ãĥ Ī", + "amp a", + "May be", + "Ġproject ed", + "ĠE mb", + "Ġcol leg", + "Ġa wards", + "Ġâ Ķ", + "G old", + "ĠBl ake", + "ĠR aj", + "if ting", + "Ġp ending", + "Ġinst inct", + "Ġdevelop ments", + "Con nect", + "ĠM and", + "ĠW ITH", + "ĠPhilipp ines", + "prof ile", + "Ġalt ogether", + "ĠB und", + "ĠT D", + "oo oo", + "amp ed", + "ip h", + "Ġste am", + "Ġold est", + "Ġdet ection", + "ul pt", + "Ġ ç", + "ĠWay ne", + "200 6", + "f a", + "Ġcir cles", + "ĠF u", + "Ġdon ors", + "appropri ate", + "ĠDak ota", + "j amin", + "Ġmotiv ated", + "Ġpurch ases", + "ĠLouis iana", + "ĠS pl", + "Ġgl obe", + "Ġ10 5", + "z ip", + "c all", + "Ġdepart ments", + "Ġsustain able", + "10 5", + "ĠO P", + "if iers", + "Ġprevent ed", + "Ġinc omp", + "ĠComm ander", + "Ġdom inated", + "Ġ »", + "Ġinvest ed", + "Ġcomplex ity", + "Ġin cl", + "Ġens uring", + "Ġreal m", + "yn c", + "ĠInd ependent", + "r ained", + "ĠJ en", + "ĠFl ight", + "Ġat he", + "Ġspec ulation", + "ĠT E", + "oc ate", + "t ic", + "Ġpl aint", + "her ry", + "Ġto y", + "Ġ1 11", + "Ġpl ates", + "st atus", + "ĠIs a", + "Ġdev oted", + "C op", + "ĠE S", + "25 5", + "ur rency", + "M ain", + "Ġsl aves", + "Ġpe pper", + "Ġqu otes", + "Ġce iling", + "ĠF ish", + "Ġtrans formation", + "Ġfra ction", + "Ġadvant ages", + "Ġto ile", + "Ġstun ning", + "Ġmo ist", + "bre aking", + "s i", + "ĠL ocation", + "ĠMed ium", + "Ġtext s", + "Ġu gly", + "Ġb io", + ". âĢĶ", + "ĠB ased", + "Ġtr ains", + "ĠW ing", + "ĠAn cient", + "ĠRec ords", + "ĠH ope", + "Spe cial", + "ades h", + "ob i", + "[ /", + "Ġtempor arily", + "V er", + "h u", + "os er", + "Ġover night", + "Ġm amm", + "ĠTre asury", + "ĠV enezuel", + "ĠMeg a", + "Ġt ar", + "Ġexpect s", + "bl ack", + "or ph", + "\\\\ \\\\", + "Ġaccept ance", + "Ġrad ar", + "s is", + "Ġjun ior", + "Ġfram es", + "Ġobserv ation", + "ac ies", + "P ower", + "ĠAdv anced", + "M ag", + "olog ically", + "ĠMe chan", + "Ġsent ences", + "Ġanaly sts", + "augh ters", + "force ment", + "Ġv ague", + "Ġcl ause", + "Ġdirect ors", + "Ġeval uate", + "Ġcabin et", + "M att", + "ĠClass ic", + "A ng", + "Ġcl er", + "ĠB uck", + "Ġresear cher", + "Ġ16 0", + "Ġpoor ly", + "Ġexperien cing", + "ĠP ed", + "ĠMan hattan", + "Ġfre ed", + "Ġthem es", + "ad vant", + "Ġn in", + "Ġpra ise", + "10 4", + "ĠLib ya", + "b est", + "Ġtrust ed", + "Ġce ase", + "Ġd ign", + "D irect", + "Ġbomb ing", + "Ġm igration", + "ĠSci ences", + "Ġmunicip al", + "ĠA verage", + "Ġgl ory", + "Ġreve aling", + "Ġare na", + "Ġuncertain ty", + "Ġbattle field", + "ia o", + "G od", + "Ġc inem", + "ra pe", + "el le", + "ap ons", + "Ġlist ing", + "Ġwa ited", + "Ġsp otted", + "ke ley", + "ĠAud io", + "e or", + "ard ing", + "idd ing", + "ig ma", + "ĠN eg", + "Ġl one", + "Ġ ----", + "ex e", + "d eg", + "Ġtrans f", + "Ġwas h", + "Ġsl avery", + "Ġexpl oring", + "ĠW W", + "ats on", + "Ġen cl", + "l ies", + "ĠC reek", + "Ġwood en", + "Man ager", + "ĠBr and", + "um my", + "ĠAr thur", + "Ġbureau cr", + "Ġbl end", + "ar ians", + "F urther", + "Ġsupposed ly", + "Ġwind s", + "Ġ19 79", + "Ġgrav ity", + "Ġanalys es", + "ĠTra vel", + "ĠV eter", + "Ġd umb", + "Ġaltern ate", + "g al", + "Ġconsum ed", + "Ġeffect iveness", + ".' '", + "Ġpath s", + "ond a", + "L A", + "ĠStr ong", + "Ġen ables", + "Ġesc aped", + "Ġ\" \"", + "Ġ1 12", + "Ġ198 3", + "Ġsm iled", + "Ġtend ency", + "F ire", + "Ġp ars", + "ĠR oc", + "Ġl ake", + "Ġf itness", + "ĠA th", + "ĠH orn", + "Ġh ier", + "Ġimp ose", + "m other", + "Ġp ension", + "ic ut", + "bor ne", + "ic iary", + ". _", + "ĠS U", + "Ġpol ar", + "is y", + "eng u", + "itial ized", + "AT A", + "w rite", + "Ġexerc ises", + "ĠD iamond", + "ot ypes", + "Ġharm ful", + "on z", + "Ġprint ing", + "st ory", + "Ġexpert ise", + "ĠG er", + "Ġtraged y", + "ĠF ly", + "Ġd ivid", + "amp ire", + "st ock", + "M em", + "Ġre ign", + "Ġun ve", + "Ġam end", + "ĠProp het", + "Ġmut ual", + "ĠF ac", + "Ġrepl acing", + "H ar", + "ĠCirc uit", + "Ġthro at", + "ĠSh ot", + "Ġbatter ies", + "Ġto ll", + "Ġaddress ing", + "ĠMedic aid", + "Ġp upp", + "ĠN ar", + "ol k", + "Ġequ ity", + "M R", + "ĠHis pan", + "ĠL arge", + "m id", + "D ev", + "Ġexp ed", + "Ġdem o", + "ĠMarsh all", + "erg us", + "Ġf iber", + "Ġdiv orce", + "ĠCre ate", + "Ġsl ower", + "ĠPark er", + "ĠStud ent", + "ĠTr aining", + "Ret urn", + "ĠT ru", + "Ġc ub", + "ĠRe ached", + "Ġpan ic", + "Ġqu arters", + "Ġre ct", + "Ġtreat ing", + "Ġr ats", + "ĠChristian ity", + "ol er", + "Ġsac red", + "Ġdecl are", + "ul ative", + "et ing", + "Ġdeliver ing", + "est one", + "Ġt el", + "ĠL arry", + "Ġmet a", + "ac cept", + "art z", + "ĠRog er", + "hand ed", + "Ġhead er", + "Ġtra pped", + "ĠCent ury", + "Ġkn ocked", + "ĠOx ford", + "Ġsurviv ors", + "b ot", + "Ġdemon stration", + "Ġd irt", + "Ġass ists", + "OM E", + "ĠD raft", + "ortun ate", + "fol io", + "pe red", + "ust ers", + "g t", + "ĠL ock", + "Ġjud icial", + "ver ted", + "Ġsec ured", + "out ing", + "ĠBook s", + "Ġhost ing", + "Ġlif ted", + "l ength", + "Ġj er", + "Ġwhe els", + "ĠR ange", + "umbn ails", + "Ġdiagn osis", + "te ch", + "ĠStew art", + "ĠP ract", + "Ġnation wide", + "Ġde ar", + "Ġoblig ations", + "Ġgrow s", + "Ġmand atory", + "Ġsusp icious", + "! '", + "A pr", + "G reat", + "Ġmort gage", + "Ġprosecut or", + "Ġeditor ial", + "ĠK r", + "Ġprocess ed", + "ung le", + "Ġflex ibility", + "Ear lier", + "ĠC art", + "ĠS ug", + "Ġfoc uses", + "Ġstart up", + "Ġbre ach", + "ĠT ob", + "cy cle", + "ãĢ Į", + "ro se", + "Ġb izarre", + "ãĢ į", + "Ġveget ables", + "$ $", + "Ġret reat", + "osh i", + "ĠSh op", + "ĠG round", + "ĠSt op", + "ĠHawai i", + "ĠA y", + "Per haps", + "ĠBe aut", + "uff er", + "enn a", + "Ġproduct ivity", + "F ixed", + "cont rol", + "Ġabs ent", + "ĠCamp aign", + "G reen", + "Ġident ifying", + "Ġreg ret", + "Ġpromot ed", + "ĠSe ven", + "Ġer u", + "ne ath", + "aug hed", + "ĠP in", + "ĠL iving", + "C ost", + "om atic", + "me ga", + "ĠN ig", + "oc y", + "Ġin box", + "Ġem pire", + "Ġhor izont", + "Ġbr anches", + "Ġmet aph", + "Act ive", + "ed i", + "ĠFil m", + "ĠS omething", + "Ġmod s", + "inc ial", + "ĠOrig inal", + "G en", + "Ġspir its", + "Ġear ning", + "H ist", + "Ġr iders", + "Ġsacr ific", + "M T", + "ĠV A", + "ĠS alt", + "Ġoccup ation", + "ĠM i", + "Ġdis g", + "lic t", + "Ġn it", + "Ġn odes", + "e em", + "ĠP ier", + "Ġhat red", + "ps y", + "ãĥ ī", + "Ġthe ater", + "Ġsophistic ated", + "Ġdef ended", + "Ġbes ides", + "Ġthorough ly", + "ĠMedic are", + "Ġbl amed", + "arent ly", + "Ġcry ing", + "F OR", + "pri v", + "Ġsing ing", + "ĠI l", + "Ġc ute", + "o ided", + "olit ical", + "ĠNe uro", + "å ¤", + "Ġdon ation", + "ĠEag les", + "ĠG ive", + "T om", + "Ġsubstant ially", + "ĠLic ense", + "ĠJ a", + "Ġg rey", + "ĠAn imal", + "ĠE R", + "ĠU nd", + "Ġke en", + "Ġconclud e", + "ĠMississ ippi", + "Eng ine", + "ĠStud ios", + "P ress", + "o vers", + "ll ers", + "Ġ3 50", + "ĠR angers", + "Ġr ou", + "ert o", + "E p", + "iss a", + "iv an", + "Ġse al", + "ĠReg ist", + "dis play", + "Ġwe aken", + "u um", + "ĠComm ons", + "ĠS ay", + "Ġcult ures", + "Ġl aughed", + "Ġsl ip", + "Ġtreat ments", + "iz able", + "m art", + "ĠR ice", + "Ġbe ast", + "Ġob esity", + "ĠLa ure", + "ig a", + "Wh ich", + "hold er", + "Ġelder ly", + "Ġp ays", + "Ġcompl ained", + "Ġc rop", + "Ġpro c", + "Ġexplos ive", + "ĠF an", + "ĠAr senal", + "A uthor", + "ef ul", + "Ġme als", + "Ġ( -", + "id ays", + "Ġimag ination", + "Ġann ually", + "Ġm s", + "as ures", + "H ead", + "ik h", + "m atic", + "Ġboy friend", + "ĠCom puter", + "Ġb ump", + "Ġsur ge", + "ĠCra ig", + "ĠKir k", + "D el", + "medi ate", + "Ġscen arios", + "ĠM ut", + "ĠSt ream", + "Ġcompet itors", + "Ù Ħ", + "ĠStan ford", + "ĠRes ources", + "az ed", + "b age", + "Ġorgan is", + "ĠRe lease", + "Ġsepar ately", + "Ġha bits", + "Ġmeasure ments", + "ĠCl ose", + "Ġaccomp any", + "Ġg ly", + "Ġt ang", + "ĠR ou", + "Ġplug in", + "Ġcon vey", + "ĠChall enge", + "oot s", + "j an", + "Ġcur s", + "ĠRel ations", + "ke eper", + "Ġapproach ing", + "p ing", + "Spe aking", + "Ġarrang ement", + "ĠV I", + "are ttes", + "Ġaffect ing", + "Ġperm its", + "b ecause", + "Ġu seless", + "ĠH us", + "!! !!", + "Ġdestro ying", + "Un fortunately", + "Ġfasc inating", + "S em", + "Ġelect oral", + "Ġtrans parency", + "ĠCh aos", + "Ġvolunte er", + "Ġstatist ical", + "Ġactiv ated", + "ro x", + "We b", + "H E", + "ĠHamp shire", + "is ive", + "M ap", + "Ġtr ash", + "ĠLaw rence", + "st ick", + "C r", + "Ġr ings", + "EX T", + "Ġoper ational", + "op es", + "D oes", + "ĠEv ans", + "Ġwitness ed", + "P ort", + "Ġlaunch ing", + "ec onom", + "w ear", + "ĠPart icip", + "um m", + "cul es", + "ĠR AM", + "ĠT un", + "Ġass ured", + "Ġb inary", + "Ġbet ray", + "Ġexpl oration", + "ĠF el", + "Ġad mission", + "it ated", + "S y", + "Ġav oided", + "ĠSim ulator", + "Ġcelebr ated", + "ĠElect ric", + "¥ ŀ", + "Ġcl uster", + "itzer land", + "he alth", + "L ine", + "ĠN ash", + "at on", + "Ġsp are", + "Ġenter prise", + "ĠD IS", + "clud es", + "Ġfl ights", + "Ġreg ards", + "Ġà Ĺ", + "h alf", + "Ġtr ucks", + "Ġcontact s", + "Ġunc ons", + "ĠCl imate", + "Ġimm ense", + "N EW", + "oc c", + "ect ive", + "Ġemb od", + "Ġpat rol", + "Ġbes ide", + "Ġv iable", + "Ġcre ep", + "Ġtrig gered", + "ver ning", + "Ġcompar able", + "q l", + "Ġg aining", + "ass es", + "Ġ( );", + "ĠG rey", + "ĠM LS", + "s ized", + "Ġpros per", + "\" ?", + "Ġpoll ing", + "Ġsh ar", + "ĠR C", + "Ġfire arm", + "or ient", + "Ġf ence", + "Ġvari ations", + "g iving", + "ĠP i", + "osp el", + "Ġpled ge", + "Ġc ure", + "Ġsp y", + "Ġviol ated", + "Ġr ushed", + "Ġstro ke", + "ĠBl og", + "sel s", + "ĠE c", + ",' '", + "Ġp ale", + "ĠColl ins", + "ter ror", + "ĠCanad ians", + "Ġt une", + "Ġlabor atory", + "Ġn ons", + "t arian", + "Ġdis ability", + "ĠG am", + "Ġsing er", + "al g", + "ĠSen ior", + "Ġtrad ed", + "ĠWar rior", + "Ġinf ring", + "ĠFrank lin", + "Ġstr ain", + "ĠSwed ish", + "Ġsevent h", + "ĠB enn", + "ĠT ell", + "Ġsynd rome", + "Ġwond ered", + "id en", + "++ ++", + "ig o", + "Ġpur ple", + "Ġjournal ism", + "Ġreb el", + "Ġf u", + "bl og", + "Ġinv ite", + "ren cies", + "ĠCont act", + "Is rael", + "ĠCont ent", + "Ġche er", + "Ġbed room", + "ĠEngine ering", + "ĠQue ens", + "Ġd well", + "ĠPlay Station", + "ĠD im", + "ĠCol on", + "l r", + "Ġoper ates", + "Ġmotiv ation", + "US A", + "ast ered", + "C ore", + "ĠTr uth", + "ol o", + "OS E", + "ĠMem ory", + "Ġpred ec", + "Ġan arch", + "Ġ19 20", + "ĠY am", + "à ¨", + "b id", + "Ġgr ateful", + "Ġexc itement", + "Ġtre asure", + "Ġlong est", + "ct ive", + "Ġdes erves", + "Ġreserv es", + "Ġcop s", + "ĠOtt awa", + "ĠEgypt ian", + "ank ed", + "Ġart if", + "Ġhypot hesis", + ": /", + "Ġpurch asing", + "Ġlove ly", + "H P", + "Ġdiv ide", + "Ġstrict ly", + "Ġquestion ing", + "Ġtaxp ayers", + "ĠJ oy", + "Ġroll s", + "ĠHe avy", + "Ġp orts", + "Ġmag netic", + "Ġinf lamm", + "Ġbr ush", + "t ics", + "â ĪĴ", + "Ġbott les", + "pp y", + "Ġp add", + "ãĤ ¯", + "m illion", + "Ġdevast ating", + "Ġcomp iled", + "Ġmed ication", + "Ġtw elve", + "ĠPer ry", + "Sp ace", + "im b", + "y our", + "Ġle aked", + "ĠT ar", + "Ġun ity", + "Ġinfect ed", + "Ġtravel ed", + "ID E", + "ĠMc Donald", + "t xt", + "ĠPr inc", + "Ġinter ven", + "ĠTai wan", + "ĠP ow", + "Ġbe aring", + "ĠTh read", + "Ġz ones", + "iz ards", + "un ks", + "Ch apter", + "ll or", + "Ġ ·", + "Ġw ounds", + "Ġdisc retion", + "Ġsucceed ed", + "ik ing", + "Ġicon ic", + "C all", + "Ġscreen ing", + "ĠM is", + "ict s", + "Ġmin isters", + "Ġsepar ation", + "Pl ayer", + "Ġb ip", + "Ġbel oved", + "Ġcount ing", + "ĠE ye", + "ar ound", + "ing ing", + "Ġtable t", + "Ġoff ence", + "in ance", + "h ave", + "ĠInf o", + "ĠNin ja", + "Ġprotect ive", + "ĠC ass", + "M ac", + "ĠQual ity", + "N orth", + "Ġ ic", + "ĠCub a", + "ĠChron icle", + "ĠPro perty", + "Ġfast est", + "ot os", + "ĠG erm", + "OW N", + "Ġbo om", + "ĠStan ley", + "ergus on", + "Ġcle ver", + "Ġent ers", + "m ode", + "ter ior", + "ĠS ens", + "Ġlin ear", + "AR K", + "Ġcomp aring", + "Ġpure ly", + "Ġsaf er", + "ĠPot ter", + "Ġc ups", + "R T", + "Ġgl uc", + "Ġatt ributed", + "Ġdu pl", + "ĠP ap", + "Ġprec ious", + "Ġp a", + "iction ary", + "ĠT ig", + "ĠTo o", + "ol utions", + "st an", + "Ġrob ots", + "Ġlob b", + "Ġstat ute", + "Ġprevent ion", + "w estern", + "16 0", + "ĠAct ive", + "ĠMar ia", + "h al", + "N one", + "ell ar", + "ĠK B", + "ĠPart ners", + "ĠSing le", + "ĠFollow ing", + "ang o", + "ac ious", + "Ġth ou", + "Ġk g", + "Ġinflu ential", + "ĠFriend s", + "S ur", + "ain ted", + "Ġfor ums", + "Ġst arter", + "Ġcitizens hip", + "ĠE lection", + "on ge", + "ot ation", + "os ph", + ";; ;;", + "ut ical", + "p ur", + "ere n", + "Ġaccus ations", + "bit ious", + "ab bit", + "ĠOr d", + "Post ed", + "ir k", + "Ġsens itivity", + "ic he", + "ĠAm y", + "ĠF ab", + "Ġsum mit", + "Ġped est", + "Ġrub ber", + "Ġagric ultural", + "Ġcan cel", + "A E", + "Ġin aug", + "Ġcont am", + "Ġfirm ly", + "i w", + "st age", + "ĠK an", + "Ġt ier", + "Ġinv ention", + "Ġtransl ated", + "ĠR ules", + "B ox", + "Tw itter", + "ID S", + "Ġp izza", + "Ġdeb ug", + "ĠD rop", + "v s", + "Ġh orses", + "b ig", + "Ġb oring", + "Ġh ood", + "ĠMcC ain", + "at ched", + "ĠBro s", + "Ġsk ip", + "Ġess ay", + "st at", + "ĠLeg ends", + "Ġam munition", + "au c", + "Ġshoot er", + "Ġun h", + "Ġsuppl ied", + "Ġgener ic", + "ĠS K", + "ib an", + "yr ics", + "Ġ25 5", + "Ġclim bing", + "Form er", + "Ġfl ip", + "Ġjump ing", + "Ġfrust ration", + "ĠTer ry", + "Ġneighborhood s", + "Ġmed ian", + "be an", + "Ġbr ains", + "Follow ing", + "Ġsh aped", + "Ġdraw s", + "Ġal tered", + "J ack", + "Ġrecip es", + "Ġsk illed", + "we alth", + "ach i", + "e lection", + "Ġbehavi ors", + "de als", + "ĠU ntil", + "F e", + "Ġdecl aration", + "mar ks", + "ĠBet ween", + "cel ona", + "Ġres on", + "Ġbub ble", + "Am ong", + "Ġim perial", + "G S", + "Ġfemin ist", + "200 5", + "ĠK yle", + "Ġaccount ing", + "ĠTe le", + "ĠT yr", + "Ġconnect ing", + "Ġre hab", + "ĠP red", + "s im", + "Ġmeant ime", + "Ġphys ician", + "M W", + "ĠCamp bell", + "ĠBr andon", + "Ġcontribut ing", + "ĠR ule", + "ĠWe ight", + "ĠN ap", + "Ġinter active", + "Ġv ag", + "Ġhel met", + "ĠCom b", + "f our", + "Ġsh ipped", + "Ġcomple ting", + "ĠP D", + "PD ATE", + "Ġspread ing", + "Ġsc ary", + "erv ing", + "ĠG as", + "Ġfr ank", + "s chool", + "Ġrom antic", + "Ġstab il", + "R ob", + "Ġaccur ately", + "Ġac ute", + "ĠH ann", + "Ġsymbol s", + "Ġcivil ization", + "ĠA W", + "Ġlight ning", + "Ġcons iders", + "Ġven ue", + "Ġ ×", + "Ġo ven", + "ĠS F", + "h is", + "Ġn u", + "ĠLear n", + "Ġpe oples", + "Ġst d", + "Ġsle e", + "Ġs lic", + "ĠStat istics", + "Ġcor ners", + "ĠB aker", + "Ġ: )", + "ment ation", + "ol ver", + "Ġlaugh ing", + "ĠT odd", + "ond e", + "ĠH ills", + "Ġn uts", + "ĠW oman", + "pl ane", + "Ġl iver", + "ĠIn side", + "S orry", + "Ġagre es", + "Ġfund ament", + "ĠF isher", + "Ġa uction", + "Ġthread s", + "gl as", + "ĠBas ic", + "ĠN at", + "Ġlack ing", + "Ġceleb ration", + "j u", + "Ġs illy", + "E uro", + "Ġt att", + "ight y", + "cont rolled", + "T est", + "ĠSing h", + "Ġr age", + "Ġrh yth", + "o ffic", + "ĠPh antom", + "Ġhead lines", + "Ġrespond ing", + "ĠMor ning", + "Ġvit amin", + "Ġboot s", + "ĠS ite", + "al in", + "p i", + "Ġvir al", + "ĠU C", + "D ER", + "ĠSe x", + "Ġst ocks", + "c urrent", + "Ġch urches", + "ĠR are", + "ĠMur phy", + "Ġden ial", + "ĠG aming", + "Ġtou g", + "Ġn ick", + "Ġm akers", + "ĠRon ald", + "Ġgener ous", + "ĠD oc", + "ĠMor ris", + "Ġtransform ed", + "ĠN ormal", + "Ġ10 4", + "ĠKick starter", + "ĠUp on", + "On line", + "ĠI RS", + "Ġw rap", + "Ġl oving", + "Ġarri ves", + "ĠD ue", + "Ġhe ter", + "ĠM ade", + "Ġrent al", + "Ġbelong s", + "Ġatt orneys", + "Ġcro ps", + "Ġmat ched", + "ul um", + "ol ine", + "10 9", + "Ġdis par", + "Ġbuy ers", + "ĠCam bridge", + "Ġeth ics", + "rou ps", + "Ġjust ified", + "Ġmarg inal", + "Ġrespect ed", + "win ning", + "Ġnodd ed", + "ĠSer ge", + "ĠForm er", + "C raft", + "######## ########", + "ĠWar ner", + "Ġd ash", + "et e", + "Ġent ert", + "ĠE scape", + "out heast", + "Ġkn ees", + "ĠB omb", + "Ġr ug", + "P ass", + "Ġatt itudes", + "go vernment", + "ĠPri or", + "Ġqual ities", + "Ġnot ification", + "ĠPh one", + "l ie", + "Ġanticip ated", + "ĠCom bat", + "ĠBar ry", + "Ġ198 2", + "Us ers", + "on er", + "Ġcomput ing", + "ĠConnect icut", + "Ġless er", + "Ġpe ers", + "ĠC u", + "Ġtechn ically", + "Ġsub mission", + "ĠUn iversal", + "Ġman ually", + "our ge", + "Ġrespond ents", + "ĠB TC", + "ĠH ost", + "Ġf are", + "ĠB ird", + "Ġrece ipt", + "al so", + "Ġj ack", + "Ġagric ulture", + "Ġsk ull", + "Ġ! =", + "Ġpass ive", + "ĠC I", + "Ġsoc ieties", + "Ġremind ed", + "Ġinter ference", + "B uy", + "Ġâ ľ", + "g on", + "Ġscrut iny", + "ĠW itch", + "Ġconduct ing", + "Ġ ãĥ", + "Ġexch anges", + "ĠMit chell", + "Ġinhab it", + "Ġtw ist", + "B D", + "Ġwhere ver", + "group on", + "Ġj okes", + "ĠBen jamin", + "ĠR andom", + "fr ame", + "ĠL ions", + "Ġhighlight ed", + "ĠArk ansas", + "E nt", + "Ġp ile", + "Ġpre lim", + "g s", + "mind ed", + "Ġfel ony", + "ĠG A", + "ĠL uck", + "Ġpract ically", + "ĠB os", + "Ġact ress", + "D am", + "ĠB ou", + "Ġvis a", + "Ġembed ded", + "Ġhy brid", + "Ġear liest", + "Ġsoon er", + "s ocial", + "ĠH A", + "Ġste ep", + "Ġdis advant", + "Ġexplo it", + "ĠE gg", + "ĠUlt ra", + "Ġnecess ity", + "L ocal", + "ie ge", + "Ġd ated", + "Ġmass es", + "Ġsubsc ription", + "pl ess", + "Ġan onym", + "Ġpresum ably", + "Bl ue", + "The ir", + "asket ball", + "ĠPhil ip", + "Ġcom ed", + "load ed", + "r ane", + "Ġref lection", + "Ch ina", + "Ġext ends", + "Ġform ing", + "Ġund ers", + "200 1", + "Ġgr at", + "Ġconcent rations", + "Ġins ulin", + "Ġsec ular", + "Ġwh ilst", + "Ġwin ners", + "Ad vertisements", + "Ġdeliber ately", + "ĠWork ing", + "Ġs ink", + "et ics", + "d ale", + "Ġmand ate", + "Ġg ram", + "Ġvac ation", + "Ġwarn ings", + "ri pp", + "ĠTH AT", + "Ġcomment ary", + "Ġint u", + "Ġa est", + "Ġreason ing", + "Ġbreak down", + "ĠZ ombie", + "Ġ-- >", + "ĠPolit ical", + "c ott", + "Ġthr ust", + "Ġtechn ological", + "Ġdec iding", + "Ġtraff icking", + "L ong", + "W elcome", + "pr ising", + "ĠCommun ications", + "Ġend ors", + "Ġsw ift", + "Ġmetab ol", + "co ins", + "res a", + "ĠHT TP", + "Ġen roll", + "ĠH appy", + "us r", + "int age", + "Ġ[ \"", + "u ably", + "ĠM aterial", + "Ġrepe al", + "Se pt", + "k h", + "ĠMod i", + "Ġunder neath", + "ĠI L", + "sh ore", + "Ġdiagn osed", + "ace utical", + "Ġsh ower", + "au x", + "ĠSw itch", + "ĠStre ngth", + "Ġj ihad", + "n ational", + "Ġtra uma", + "uss y", + "on i", + "Ġcons olid", + "Ġcal ories", + "ĠF lynn", + "ag ged", + "16 8", + "ĠP ink", + "Ġfulf ill", + "Ġch ains", + "Ġnot ably", + "ĠA V", + "L ife", + "ĠCh uck", + "m us", + "ĠUr ban", + "ĠH end", + "Ġdep osit", + "ĠS ad", + "Ġaff air", + "OR K", + "ie val", + "ĠF DA", + "Ġt rop", + "ĠOver all", + "Ġvirt ue", + "Ġsatisf action", + "au nd", + "Ġl un", + "ĠSw itzerland", + "ĠOper ation", + "pro cess", + "Ġsh ook", + "Ġcount ies", + "le ased", + "ĠCharl otte", + "1 12", + "Ġtrans cript", + "Ġre dd", + "p ush", + "ĠHe y", + "ĠAn alysis", + "[ \"", + "Ġaltern atives", + "ard less", + "Ġele ph", + "Ġpre jud", + "ĠLe af", + "H aving", + "ĠH ub", + "Ġexpress ions", + "ĠVol ume", + "Ġshock ing", + "ĠRed s", + "Ġread ily", + "Ġplan ets", + "ad ata", + "Ġcollaps ed", + "ĠMad rid", + "Ġir rit", + "i pper", + "ĠEn c", + "ĠW ire", + "Ġbu zz", + "ĠG P", + "ash a", + "Ġaccident ally", + "ur u", + "Ġfrust rated", + "ĠS A", + "Ġhung ry", + "ĠH uff", + "Ġlab els", + "ant o", + "ĠE P", + "Ġbar riers", + ") |", + "ĠBer keley", + "ĠJ ets", + "Ġp airs", + "ĠL an", + "J ames", + "ĠB ear", + "Ġhum or", + "ĠLiber ty", + "Ġmagn itude", + "Ġag ing", + "ĠM ason", + "Ġfriends hip", + "umb ling", + "Ġemer ge", + "Ġnewsp apers", + "Ġam bitious", + "ĠRich ards", + "atern al", + "Ġ198 1", + "Ġcook ies", + "Ġsc ulpt", + "Ġpur suit", + "L ocation", + "Ġscript s", + "p c", + "Ġarrang ements", + "Ġd iameter", + "Ġl oses", + "am ation", + "Ġl iqu", + "ĠJ ake", + "aret te", + "Ġunderstand s", + "ĠZ en", + "v m", + "Ġappro ve", + "Ġw ip", + "Ġult ra", + "Ġint end", + "ĠD I", + "asc ular", + "Ġst ays", + "ĠK or", + "ĠK l", + "Ġinvest ing", + "L a", + "Ġbelie ving", + "b ad", + "m outh", + "Ġtaxp ayer", + "ãĥ ĥ", + "ĠQue bec", + "Ġl ap", + "ĠSw iss", + "d rop", + "Ġdr ain", + "ir i", + "et c", + "ft en", + "ĠN ex", + "Ġst raw", + "Ġscream ing", + "Ġcount ed", + "Ġdam aging", + "Ġamb assador", + "cent ury", + "Ġpro x", + "Ġarrest s", + "u v", + "il ateral", + "ĠCh arg", + "Ġpresc ribed", + "Ġindepend ently", + "Ġf ierce", + "ĠB aby", + "Ġb rave", + "Ġsu its", + "= >", + "Ġbas eline", + "ĠR ate", + "Ġis lands", + "Ġ( (", + "g reen", + "ix els", + "Ġname ly", + "ĠVill age", + "th an", + "am y", + "V ersion", + "g mail", + "ential s", + "ĠS ud", + "ĠMel bourne", + "Ġarri ving", + "Ġquant um", + "e ff", + "rop olitan", + "T ri", + "Ġfun eral", + "ĠI R", + "ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ", + "ĠC ob", + "it ably", + "Ġt urb", + "Ġcomb o", + "Re view", + "Ġdeploy ment", + "u ity", + "ĠB ott", + "Ġinv isible", + "Ġrender ing", + "Ġunl ocked", + "Ġa qu", + "ĠVlad imir", + "Ġp ad", + "ĠBr ain", + "ĠLeg acy", + "dr agon", + "ĠKurd ish", + "Ġsound ed", + "Ġdet ained", + "ĠD M", + "g ary", + "Ġd aughters", + "Ġdistur bing", + "uk a", + "ĠPar ad", + "Ġt ast", + "Ġunf ortunate", + "Ġu l", + "em in", + "Ġattend ance", + "tr l", + "Ġpar ks", + "ĠMem orial", + "ĠAl ice", + "oth y", + "gu ard", + "ĠD ise", + "ĠSh an", + "ĠFor um", + "R ich", + "Ġshif ted", + "ue z", + "Ġl ighter", + "ĠMag n", + "Ġc od", + "S ch", + "ham mad", + "P ub", + "3 50", + "ĠP okemon", + "Ġprot otype", + "Ġun re", + "B ase", + "ĠStud ents", + "ĠRep ly", + "ĠCommun ist", + "Ġg au", + "ĠTy ler", + "I Z", + "Ġparticip ated", + "Ġsup rem", + "ĠDet ails", + "Ġvessel s", + "ro d", + "Ġt ribe", + "ke ep", + "Ġassum ptions", + "Ġp ound", + "Ġcr ude", + "ĠAv ailable", + "Ġswim ming", + "Ġin clusion", + "Ġadv ances", + "c ulation", + "Ġconserv ation", + "Ġover d", + "ĠBuff alo", + "Art icle", + "ed ge", + "Ġaw a", + "ĠMad ison", + "Ġsid ew", + "Ġcat ast", + "ĠK rist", + "uc le", + "ĠHigh way", + "ĠTer ror", + "Ġactiv ation", + "Ġuncons cious", + "ĠSat an", + "ĠSus an", + "ill ery", + "Ġarr anged", + "i op", + "Ġrum ors", + "ur ring", + "th ink", + "ĠKe ith", + "ĠK ind", + "Ġavoid ing", + "by n", + "n ut", + "ĠSpe aker", + "r us", + "n ames", + "Ġgu ilt", + "ĠOlymp ics", + "Ġsa il", + "ĠM es", + "lev ant", + "ĠColumb us", + "a ft", + "C ity", + "S outh", + "ĠHar vey", + "ĠP un", + "S everal", + "Ġment ally", + "Ġimp ress", + "m ount", + "ĠUb untu", + "âĢĶâĢĶâĢĶâĢĶ âĢĶâĢĶâĢĶâĢĶ", + "ĠSuper man", + "ĠMP s", + "Ġintent ions", + "ĠR acing", + "Ġlike lihood", + "Ġ2 40", + "T otal", + "Ġto ys", + "ĠW atson", + "Ġur ge", + "L ear", + "ĠP aper", + "Ġoccur ring", + "ĠB eng", + "ĠC ert", + "Ġst ones", + "T im", + "ĠTw in", + "z b", + "ĠD ynam", + "Ġpolit ician", + "k ens", + "ĠEnter prise", + "UT ERS", + "Ġab ol", + "Ġref resh", + "Ġarbit rary", + "pe ction", + "Ġtrou bles", + "Ġ} );", + "t v", + "Ġpil ots", + "Ġdist ribute", + "Ġaud it", + "Ġp ause", + "orig inal", + "Ġr ivals", + " £", + "F ig", + "T L", + "ab il", + "ry ing", + "L in", + "ion ed", + "l on", + "Ġf ancy", + "Ġcr ashed", + "Ġt ract", + "Ġshe d", + "Ġcons ume", + "B ased", + "down load", + "in it", + "Ġvolt age", + "Int rodu", + "Ġcondem ned", + "ĠFin ance", + "res pect", + "Ġex cluded", + "Ġestablish ing", + "her ic", + "Ġher itage", + "Ġspect acular", + "Ġun st", + "ĠSnow den", + "ĠL ane", + "S an", + "Ġprotect ions", + "st ruction", + "inc inn", + "Ġmac ro", + "C ustom", + "ios ity", + "Ġes p", + "Ġfunction ing", + "Ġm ush", + "Ġp uzzle", + "Ġeth ical", + "M al", + "Ġgo verning", + "ĠF erguson", + "Ġrest ored", + "Ġst ressed", + "ĠCoun ter", + "ĠK as", + "cl ip", + "AN S", + "Ġse iz", + "U K", + "by ss", + "old own", + "ap i", + "Ġperman ently", + "oun ters", + "W est", + "Th rough", + "L ight", + "at oes", + "Ġne at", + "Ġc ord", + "ure r", + "Ġsevere ly", + "ĠA ven", + "Ġinter rog", + "Ġtri ple", + "G iven", + "N umber", + "Ġar ise", + "Ġs her", + "pl ant", + "Ġfl ower", + "ĠC ou", + "Ġat e", + "Ġnew er", + "b ul", + "Ġmean while", + "ĠL air", + "Ġadjust ment", + "ĠCop yright", + "Ġd ivers", + "i ological", + "Ġgam ers", + "o at", + "Ġhistor ically", + "Ġanal og", + "Ġlong time", + "Ġpres cription", + "ĠM ist", + "ĠHy per", + "ĠM aine", + "ĠDe ity", + "Ġmulti pl", + "ĠRe incarn", + "ĠH yd", + "ĠP ic", + "S il", + "r ants", + "ĠC ris", + ". ;", + "( {", + "epend ence", + "Ġrec y", + "ate ur", + "Ġqu ad", + "Ġgl ob", + "Ġcon ced", + "te am", + "Ġcapital ist", + "ĠL ot", + "Ġroy al", + "ĠCy ber", + "Ġblack s", + "met ic", + "ri v", + "ĠD anny", + "Ġsp o", + "ĠR O", + "Ġanim ated", + "rypt ed", + "ĠDep uty", + "Ġrend ered", + "F E", + "Ġstre ak", + "Ġcloud s", + "ĠDou g", + "~~~~ ~~~~", + "Ġdisc our", + "ĠVe h", + "Ġpsych ology", + "ĠJ ourney", + "Ġcry stal", + "ĠFro st", + "Ġsuspic ion", + "Ġrel ate", + "or us", + "ĠC rypt", + "ĠN VIDIA", + "com ed", + "ut ing", + "incinn ati", + "Ġvulner ability", + "ost ic", + "Ġisol ation", + "Ġcool ing", + "ĠCoal ition", + "Ġ1 19", + "F our", + "ĠDe al", + "Ġâ ī", + "se mble", + "ram ent", + "ĠBar celona", + "Ġ10 2", + "Ġcoc aine", + "ocaly pse", + "F eb", + "ogen ic", + "Ġmut ation", + "Ġcrypt oc", + "ĠK el", + "ĠG it", + "a is", + "Ġs isters", + "AN K", + "Ġactiv ate", + "T er", + "Ġd read", + "yl on", + "Ġprop ri", + "A ust", + "ĠDef ault", + "Ġout door", + "Ġshe er", + "ce ive", + "Ġg ently", + "Ð ¾", + "Pro gram", + "Ġâ ĨĴ", + "Ġve gan", + "ĠCr us", + "Ġrespons ibilities", + "ĠH R", + "OL D", + "Ġprev ents", + "Ġst iff", + "ĠW ere", + "Ġathlet ic", + "ĠSc ore", + "Ġ) :", + "Ġcolumn s", + "ĠL oc", + "av ailable", + "ĠF ram", + "ĠS essions", + "Ġcompan ion", + "Ġpack s", + "14 0", + "ĠKn ights", + "Ġf art", + "Ġstream s", + "Ġsh ore", + "Ġapp eals", + "ĠPer formance", + "h aul", + "ĠSt ra", + "ĠN ag", + "10 3", + "ĠTrans portation", + "B B", + "E v", + "z an", + "P ublic", + "Ġtw in", + "uls ion", + "M ult", + "Ġelect ro", + "Ġstat ue", + "ation ally", + "ĠN ort", + "Ġins pection", + "/ *", + "ig ue", + "Ġcomp assion", + "ĠT ales", + "ĠSte in", + "ĠSc reen", + "ĠB ug", + "ĠL ion", + "g irl", + "Ġwithdraw al", + "Ġobject ives", + "Ġblood y", + "Ġprelim inary", + "Ġj acket", + "Ġdim ensions", + "ĠC ool", + "ĠOcc up", + "Ġw reck", + "Ġdoub led", + "ank ing", + "Ġ19 75", + "Ġglass es", + "ĠW ang", + "pro v", + "P ath", + "connect ed", + "ĠMult i", + "ĠNor way", + "agon ist", + "Ġfe ared", + "Ġtouch ing", + "Ġarg uably", + "¯¯¯¯ ¯¯¯¯", + "ĠNC AA", + "che m", + "Ġsp at", + "ĠW WE", + "ĠC el", + "ig ger", + "Ġattack er", + "ĠJo in", + "ob ject", + "ett a", + "Ġelim inated", + "d et", + "Ġdest ruct", + "ĠLuc as", + "ct uary", + "18 0", + "ĠBr ady", + "ĠBl ues", + "B ay", + "au kee", + "Ġtim eline", + "Ġdeleg ates", + "w ritten", + "uff icient", + "Ġsh apes", + "Cop yright", + "ou ble", + "serv ice", + "Ġp ione", + "Ġcolleg es", + "Ġrow s", + "Ġsp ite", + "Ġassess ed", + "3 60", + "Ġle ase", + "Ġconfident ial", + "ck er", + "ĠMan ning", + "ĠV oice", + "Ġse aled", + "Ġcalcul ate", + "N O", + "ĠAss istant", + "Ġteen ager", + "ul ent", + "ather ine", + "Ġm ock", + "Ġd iamond", + "Ġf est", + "Ġsw itched", + "Ġres ume", + "ĠPu erto", + "Ġl anes", + "ir ation", + "ĠSimilar ly", + "Ġro d", + "ĠS el", + "ĠPal ace", + "ĠLim ited", + "e ous", + "Ġvar iant", + "Ġw ard", + "Ġ) )", + "Sh ow", + "OO K", + "A lex", + "ĠN ep", + "br is", + "ĠWik ipedia", + "Ġexcept ional", + "Ġman ages", + "ĠD raw", + "Ag ain", + "Ġco pper", + "ut t", + "Ġex ports", + "Ġport folio", + "Ġelev ated", + "R ated", + "ĠOther wise", + "ĠT act", + "ĠShe l", + "ĠT X", + "\" âĢĶ", + "Ġres ur", + "ĠW a", + "ven ant", + "Ġmon etary", + "pe ople", + "E mail", + "Ġfif ty", + "ĠS weet", + "ĠMalays ia", + "Ġconf using", + "ĠR io", + "ud a", + "uten ant", + "\" );", + "Ġpra ised", + "Ġvol umes", + "t urn", + "Ġm ature", + "Ġnon profit", + "Ġpassion ate", + "ĠPriv ate", + "Ġ10 3", + "Ġdesc end", + "ç ¥ŀ", + "uff y", + "head ed", + "Whe ther", + "ri en", + "ze ch", + "be it", + "Ġch rom", + "ĠMc M", + "Ġd ancing", + "Ġe leg", + "ĠNot iced", + "11 5", + "Ġadvoc acy", + "ENT S", + "amb ling", + "ĠMin or", + "ĠF inn", + "Ġprior ities", + "Ġthere of", + "ĠSt age", + "ĠRog ers", + "Ġsubst itute", + "ĠJ ar", + "ĠJeff erson", + "Ġlight ly", + "10 2", + "ĠL isa", + "u its", + "ys ical", + "Ġshif ts", + "Ġd rones", + "Ġwork place", + "Ġres id", + "ens ed", + "ah n", + "Ġpref erences", + "ser ver", + "Ġdeb ates", + "d oc", + "ĠGod s", + "Ġhelicop ter", + "Ġhon our", + "Ġconsider ably", + "ed ed", + "ĠF emale", + "ĠAn ne", + "Ġre un", + "ĠF ace", + "ĠHall ow", + "ĠBud get", + "Ġcondem n", + "Ġt ender", + "Pro f", + "ocr atic", + "ĠTurn er", + "ĠAg ric", + "Ġ19 76", + "Ġa pt", + "d isc", + "ĠF ighter", + "ĠA ur", + "Ġgar bage", + "in put", + "ĠK arl", + "ĠOl iver", + "ĠL anguage", + "k n", + "N on", + "ĠCl ar", + "Ġtrad itions", + "Ġad vertisement", + "ĠS or", + "Ġarch ive", + "Ġvill ages", + "7 50", + "Ġimplement ing", + "w aukee", + "Ġdiet ary", + "Ġswitch ing", + "Rep ublic", + "Ġvel ocity", + "Ġc it", + "ĠA wards", + "Ġfin ancing", + "Ġlast ed", + ") ]", + "Ġrem inder", + "P erson", + "Ġprec ision", + "Ġdesign ers", + "ĠF ried", + "ĠB order", + "Ġtr agic", + "Ġw ield", + "Ġiniti atives", + "ĠT ank", + "w er", + "Ġjo ins", + "R o", + "in ery", + "Ġar row", + "Ġgener ating", + "found er", + "Ġsear ches", + "Ġrandom ly", + "A ccess", + "Ġb atch", + "Ġp osed", + "l at", + "Ġpursu ing", + "as a", + "Ġtest ified", + "form ing", + "ĠSh ar", + "w iki", + "ĠE ither", + "S ometimes", + "Ġsen ators", + "ĠJohn ny", + "ĠTal iban", + "ĠG PS", + "\":\" /", + "ãģ® å", + "Ġanaly zed", + "ĠRub io", + "ĠMove ment", + "op ard", + "ii i", + "St and", + "f ight", + "Ġign oring", + "i ang", + "ĠG N", + "so ever", + "ĠST AT", + "Ġref using", + "Ġswe at", + "Ġb ay", + "P ORT", + "ir med", + "ak y", + "Ġdis pro", + "Ġlabel ed", + "Ġ10 8", + "H ello", + "Ġple asant", + "ab a", + "Ġtri umph", + "Ġab oard", + "Ġinc om", + "ĠC row", + "le tt", + "Ġfol k", + "Ġch ase", + "` `", + "ĠBr us", + "Ġte ens", + "c ue", + "Ġter rain", + "h yd", + "il ight", + "OR Y", + "Su pport", + "ew s", + "ll i", + "rain ts", + "ĠC and", + "Ġab used", + "ach ment", + "l arg", + "B as", + "ĠC ancer", + "Ġ19 78", + "Ġsupp orter", + "ac cess", + "ĠTer min", + "ĠT ampa", + "ĠAN Y", + "Ġnew est", + "ĠCrim inal", + "ed u", + "Ġ19 30", + "Ġadm its", + "Ġend e", + "Ġfail ures", + "ur ate", + "ful ness", + "cy cl", + "ĠSub ject", + "Ġinf inite", + "th ree", + "W A", + "p it", + "ĠInst all", + "R ad", + "ili ation", + "G M", + "Ġcontin ent", + "Ġaccommod ate", + "ĠCl ay", + "Ġp up", + "ĠF unction", + "Ġham mer", + "ĠAlbert a", + "Ġrev ised", + "Ġminor ities", + "Ġmeasure ment", + "Con nell", + "Ġdis able", + "ĠM ix", + "In cre", + "Ġfor k", + "ĠR osen", + "Ġimpl ies", + "umb lr", + "AN G", + "Ġprote ins", + "Ġagg ression", + "Ġfacilit ate", + "S N", + "Ġilleg ally", + "u er", + "Ġacad em", + "Ġp uzz", + "ĠSh ift", + "p ay", + "oll o", + "Ġaud iences", + "B uild", + "Ġno ble", + "Ġsynt ax", + "â ĺħ", + "Ġbe am", + "ĠB ed", + "ĠA ld", + "Ġorig ins", + "v ideo", + "Ġ19 77", + "ĠAss ault", + "Ġgar age", + "Te am", + "Ġver dict", + "Ġd war", + "ĠVirt ual", + "e vent", + "Ke ep", + "Ġsent iment", + "Ġwild life", + "sh irt", + "Ġb urg", + "Ġrecommend ation", + "rep resent", + "Ġgall ery", + "own ers", + "Ġsch olar", + "Ġconven ience", + "ĠSw ift", + "Ġconv inc", + "C ap", + "Ġwar fare", + "ĠVis ual", + "Ġconst itute", + "Ġab ort", + "ĠWe ather", + "ĠLook ing", + "ĠH em", + "Ġmart ial", + "Ġinc oming", + "et ition", + "Ġtoler ance", + "ĠCre ated", + "Ġfl ows", + "ĠE lder", + "Ġsoul s", + "Ġf oul", + "ĠP ain", + "ĠC AN", + "Ġ2 20", + "b c", + "he nd", + "Ġgen ius", + "R eal", + "ĠW r", + "omet er", + "p ad", + "Ġlim iting", + "ĠS i", + "ĠL ore", + "ĠAd ventures", + "Ġvar ied", + "D isc", + "f in", + "ĠPerson al", + "Ch ris", + "Ġinv ented", + "Ġd ive", + "ĠR ise", + "Ġo z", + "ĠCom ics", + "Ġexp ose", + "ĠRe b", + "let ters", + "s ite", + "im ated", + "Ġh acking", + "Ġeduc ated", + "ĠNob ody", + "Ġdep ri", + "Ġincent ive", + "ãĤ ·", + "Ġovers ight", + "Ġtrib es", + "ĠBelg ium", + "Ġlicens ing", + "our t", + "Produ ct", + "ah l", + "ĠG em", + "Ġspecial ist", + "Ġc ra", + "ann ers", + "ĠCor byn", + "Ġ19 73", + "RE AD", + "Ġsum mar", + "Ġover look", + "ĠApp lication", + "Ġin appropriate", + "Ġdownload ed", + "Q ue", + "ĠB ears", + "Ġth umb", + "ĠChar acter", + "ĠReincarn ated", + "ĠS id", + "Ġdemonstr ates", + "s ky", + "ĠBloom berg", + "ĠAr ray", + "ĠRes ults", + "ĠFour th", + "ĠED T", + "ĠO scar", + "c end", + "Ġ10 6", + "ĠN ULL", + "ĠH ERE", + "m atch", + "ĠBr un", + "Ġgluc ose", + "ie g", + "eg u", + "Ġcert ified", + "Ġrel ie", + "Ġhuman itarian", + "Ġpr ayers", + "K ing", + "Ġn an", + "h ou", + "10 8", + "ul u", + "Ġrenew able", + "Ġdistingu ish", + "Ġd ense", + "ĠV ent", + "ĠPack age", + "ĠB oss", + "Ġedit ors", + "Ġm igr", + "T ra", + "ĠPet ers", + "ĠAr ctic", + "200 4", + "ĠC ape", + "Ġloc ally", + "Ġlast ing", + "Ġhand y", + ". ).", + "P an", + "ĠR ES", + "Ind ex", + "Ġt ensions", + "Ġformer ly", + "Ġide ological", + "Ġsens ors", + "Ġdeal ers", + "Ġdef ines", + "S k", + "Ġproceed s", + "Ġpro xy", + "az ines", + "ĠB ash", + "ĠP ad", + "ĠC raft", + "eal ous", + "Ġshe ets", + "omet ry", + "J une", + "cl ock", + "T T", + "ĠThe atre", + "ĠB uzz", + "Ġch apters", + "Ġmill enn", + "Ġd ough", + "ĠCongress ional", + "Ġimag ined", + "av ior", + "Ġclin ic", + "Ġ19 45", + "Ġhold er", + "ro ot", + "oles ter", + "Ġrest art", + "B N", + "ĠHam as", + "ĠJ ob", + "Ġor b", + "Ġr am", + "Ġdiscl ose", + "Ġtransl ate", + "Ġimm igrant", + "Ġannoy ing", + "Ġtreat y", + "an ium", + "ĠTe a", + "ĠLeg ion", + "Ġcrowd s", + "ĠB ec", + "ĠA er", + "oh yd", + "B ro", + "Look ing", + "Ġl bs", + "Ġagg ress", + "Ġse am", + "Ġinter cept", + "ĠM I", + "mer cial", + "act iv", + "ĠC it", + "Ġdim ension", + "Ġconsist ency", + "Ġr ushing", + "ĠDou glas", + "Ġtr im", + "Inst all", + "ick er", + "Ġsh y", + "10 6", + "Ġment ions", + "pe lled", + "ĠT ak", + "c ost", + "Ġclass room", + "Ġfort une", + "dri ven", + "Ġun le", + "ĠWhe el", + "Ġinvest or", + "ĠM asters", + "k it", + "Ġassoci ations", + "ĠEv olution", + "op ing", + "us cript", + "Ġprov incial", + "ĠWal ter", + "av i", + "S O", + "Ġun limited", + "Eng lish", + "ĠC ards", + "ĠEb ola", + "ne red", + "Ġreven ge", + "Ġout right", + "um per", + "Ġf itting", + "ĠSol id", + "Ġform ally", + "Ġproblem atic", + "Ġhaz ard", + "Ġenc ryption", + "Ġstraight forward", + "ĠA K", + "Ġp se", + "ĠOr b", + "ĠCh amber", + "ĠM ak", + "Cont ents", + "Ġloyal ty", + "Ġl yrics", + "ĠSy m", + "Ġwel comed", + "Ġcook ed", + "Ġmon op", + "Ġn urse", + "Ġmis leading", + "Ġe ternal", + "Ġshif ting", + "Ġ+ =", + "V is", + "Ġinst itutional", + "ill ary", + "Ġp ant", + "VER T", + "ĠA CC", + "ĠEn h", + "Ġinc on", + "ĠRE UTERS", + "Ġdon ated", + "âĢ¦âĢ¦ âĢ¦âĢ¦", + "In tern", + "Ġexhib it", + "Ġt ire", + "ĠR ic", + "ĠCh ampion", + "ĠMu hammad", + "N ING", + "ĠSoc cer", + "Ġmob ility", + "Ġvary ing", + "ĠM ovie", + "Ġl ord", + "o ak", + "F ield", + "Ġve ctor", + "us ions", + "Ġsc rap", + "Ġen abling", + "m ake", + "T or", + ". *", + "| |", + "ĠWe bsite", + "ĠN PC", + "Ġsocial ist", + "ĠBill y", + "ĠAdd itional", + "Ġc argo", + "Ġfar ms", + "ĠSo on", + "ĠPri ze", + "Ġmid night", + "Ġ9 00", + "se en", + "ĠSp ot", + "Ġshe ep", + "Ġspons ored", + "ĠH i", + "ĠJ ump", + "Ġ19 67", + "Micro soft", + "ĠAg ent", + "Ġch arts", + "d ir", + "Ġadj acent", + "Ġtr icks", + "Ġman ga", + "Ġex agger", + "/ >", + "foot ball", + "ĠF CC", + "G C", + "ĠT ier", + "and ra", + "OU ND", + "% ),", + "Ġfru its", + "V C", + "ĠA A", + "R ober", + "Ġmid st", + "â Ĺ", + "ank a", + "Ġlegisl ature", + "ĠNe il", + "Ġtour ists", + "\" \"", + "ĠWar ning", + "ĠNever theless", + "ĠOffic ial", + "ĠWh atever", + "Ġm old", + "Ġdraft ed", + "Ġsubst ances", + "Ġbre ed", + "Ġt ags", + "ĠT ask", + "Ġver b", + "Ġmanufact ured", + "com ments", + "ĠPol ish", + "Pro v", + "Ġdetermin es", + "Ob ama", + "k ers", + "Ġutter ly", + "Ġse ct", + "sc he", + "ĠG ates", + "ĠCh ap", + "Ġal uminum", + "Ġz ombie", + "ĠT ouch", + "ĠU P", + "Ġsatisf y", + "Ġpred omin", + "asc ript", + "Ġelabor ate", + "Ġ19 68", + "Ġmeas uring", + "ĠV ari", + "any ahu", + "Ġs ir", + "ul ates", + "id ges", + "ick ets", + "ĠSp encer", + "T M", + "oub ted", + "Ġpre y", + "Ġinstall ing", + "ĠC ab", + "re ed", + "re ated", + "Su pp", + "Ġwr ist", + "ĠK erry", + "10 7", + "ĠK le", + "ĠR achel", + "Ġc otton", + "ĠA RE", + "ĠE le", + "Cont rol", + "Ġload s", + "ĠD od", + "an as", + "b one", + "Ġclass ical", + "ĠReg ional", + "ĠInt eg", + "V M", + "Ġdes ires", + "Ġaut ism", + "support ed", + "ĠM essage", + "Ġcomp act", + "writ er", + "Ġ10 9", + "ĠHur ricane", + "c ision", + "Ġcy cles", + "Ġdr ill", + "Ġcolle ague", + "Ġm aker", + "G erman", + "Ġmist aken", + "S un", + "ĠG ay", + "Ġwhat soever", + "Ġsell s", + "ĠA irl", + "l iv", + "ĠO ption", + "Ġsol ved", + "Ġse ctors", + "Ġhorizont al", + "Ġequ ation", + "ĠSk ill", + "ĠB io", + "g ement", + "ĠSn ap", + "ĠLeg al", + "Ġtradem ark", + "Ġmake up", + "Ġassemb led", + "Ġsa ves", + "ĠHallow een", + "ĠVer mont", + "ĠFR OM", + "Ġfar ming", + "ĠP odcast", + "accept able", + "ĠHig her", + "Ġas leep", + "ull ivan", + "Ġrefere n", + "ĠLe v", + "Ġbul lets", + "ok o", + "H C", + "Ġst airs", + "Ġmain tains", + "ĠL ower", + "ĠV i", + "Ġmar ine", + "Ġac res", + "Ġcoordin ator", + "ĠJ oh", + "Ġcounterpart s", + "ĠBrother s", + "Ġind ict", + "b ra", + "Ġch unk", + "Ġc ents", + "H ome", + "ĠMon th", + "Ġaccording ly", + "if les", + "ĠGerm ans", + "ĠSy n", + "H ub", + "Ġey eb", + "âĶĢâĶĢ âĶĢâĶĢ", + "Ġr anges", + "ĠHoll and", + "ĠRob ot", + "f c", + "M ike", + "Ġpl asma", + "Ġsw ap", + "Ġath lete", + "ĠR ams", + ",' \"", + "Ġinfect ions", + "Ġcor rid", + "Ġv ib", + "Ġpat ches", + "Ġtradition ally", + "Ġrevel ation", + "Ġswe ep", + "Ġgl ance", + "Ġin ex", + "200 3", + "ĠR aw", + "work ing", + "os ures", + "ĠD at", + "ĠLyn ch", + "Ġle verage", + "ĠRe id", + "Ġcorrel ation", + "ian ces", + "av ascript", + "Ġrep ository", + "ret ty", + "Ġ19 72", + "24 0", + "Ġo un", + "p ol", + "ĠRe ed", + "Ġtact ical", + "is ite", + "App le", + "ĠQu inn", + "Ġrap ed", + "ill o", + "Euro pe", + "Ġalgorith ms", + "ĠRod rig", + "i u", + "Ġill um", + "Ġf ame", + "Ġintrodu cing", + "Ġdel ays", + "ĠRaid ers", + "Ġwh istle", + "Ġnovel s", + "ĠRe ally", + "Ġder iv", + "Ġpublic ations", + "ĠNe ither", + "ĠCom merce", + "Ġa ston", + "l anguage", + "Not es", + "ĠR oth", + "ĠF ear", + "Ġm ate", + "Ġpar ade", + "ĠQ B", + "Ġman eu", + "ĠC incinnati", + "m itting", + "Ġwa ist", + "ĠR ew", + "Ġdisc ont", + "Ð °", + "Ġst aring", + "Ġal ias", + "Ġsec urities", + "Ġtoile t", + "ĠJ edi", + "Ġun law", + "v ised", + "//// ////", + "] (", + "ĠWe iss", + "Ġpre st", + "ĠComp an", + "Ġmem o", + "ĠGr ace", + "J uly", + "ĠEl ite", + "cent er", + "ĠSt ay", + "Ġgal axy", + "Ġto oth", + "ĠS ettings", + "Ġsubject ed", + "ãĤ ¦", + "Ġline back", + "Ġretail ers", + "ĠW ant", + "Ġd angers", + "A ir", + "Ġvolunt ary", + "ew ay", + "Ġinterpret ed", + "ot ine", + "à §", + "Ġp el", + "Serv ice", + "ĠEvent ually", + "Ġcare ers", + "Ġthreat en", + "Ġmem or", + "ĠBrad ley", + "anc ies", + "s n", + "ĠUn known", + "N ational", + "Ġsh adows", + "ail and", + "ĠD ash", + "Every one", + "izz ard", + "M arch", + "= (", + "Ġpull s", + "Ġstr anger", + "Ġback wards", + "ĠBern ard", + "imens ional", + "Ġch ron", + "Ġtheoret ical", + "k top", + "Ġw are", + "ĠInvest ig", + "ĠIn iti", + "ĠOper ations", + "o ven", + "oc ide", + "* /", + "Ġfl ames", + "ĠC ash", + "sh it", + "Ġc ab", + "ĠAn aly", + "ĠSe ah", + "Ġdefin ing", + "Ġorder ing", + "Ġimm un", + "Ġpers istent", + "AC H", + "Russ ian", + "m ans", + "Ġh ind", + "Ġphot ography", + " ©", + "Ġh ug", + "Ġ10 7", + "ĠH ence", + "i ots", + "ude au", + "Ġsubsid ies", + "Ġroutine ly", + "ĠDev ice", + "it ic", + "Ġdisg ust", + "land er", + "Ġ19 40", + "Ġassign ment", + "ĠB esides", + "w ick", + "ĠD ust", + "us c", + "struct ed", + "11 1", + "de velop", + "Ġf ond", + "Ġinter section", + "Ġdign ity", + "Ġcommission er", + "With out", + "re ach", + "Ġcart oon", + "Ġsc ales", + "ãĥ Ń", + "F IG", + "Ġsurve ys", + "ĠIndones ia", + "Ġart work", + "Ġun ch", + "Ġcy cling", + "un ct", + "au er", + "or ate", + "ĠOb viously", + "Ġcharacter ized", + "fe ld", + "Ġaff irm", + "Ġinn ings", + "Ġ é", + "Ġal iens", + "Ġcl oth", + "et ooth", + "ĠC ertain", + " §", + "Ġdig est", + "k now", + "ĠX L", + "Ġpredict ions", + "Ġd in", + "W AR", + "Ġafter math", + "Ex ample", + "ĠSu ccess", + "ĠTh r", + "IG N", + "Ġmin er", + "B us", + "Ġcl arity", + "heim er", + "ĠO UT", + "ĠS end", + "ĠCirc le", + "ĠD iet", + "Ġpron ounced", + "Ġcreat ors", + "Ġearthqu ake", + "atter y", + "ge ons", + "Ġo d", + "Ġlay ing", + "or p", + "U lt", + "pro ject", + "Ġunder min", + "Ġsequ el", + "S am", + "ĠDark ness", + "Ġre ception", + "b ull", + "Y S", + "ĠV ir", + "Ġsequ ences", + "ĠCo in", + "Ġout fit", + "ĠW ait", + "1 19", + "Ġdel ivers", + ".... ..", + "Ġbl own", + "ĠE sc", + "ĠM ath", + "per m", + "ĠU l", + "Ġgl im", + "Ġfac ial", + "Ġgreen house", + "Ġto kens", + "/ -", + "ĠAnn ual", + "ĠON E", + "Ġteen age", + "ĠPhys ical", + "ĠL ang", + "ĠC elt", + "Ġsu ed", + "ivid ually", + "Ġpat ience", + "ch air", + "reg ular", + "Ġa ug", + "in v", + "ex cept", + "ĠL il", + "Ġn est", + "f d", + "s um", + "ĠCh ase", + "Russ ia", + "ĠJenn ifer", + "Ġoff season", + "Over all", + "F ore", + "Ġr iot", + "A ud", + "form er", + "Ġdefend ers", + "ĠC T", + "iot ic", + "rib ly", + "Ġautom ated", + "Ġpen is", + "Ġins ist", + "Ġdi agram", + "ĠS QL", + "ĠG arc", + "Ġw itch", + "cl ient", + "ier ra", + "am bers", + "Ġrec ount", + "f ar", + "V ery", + "oster one", + "Ġappreci ated", + "ĠPer fect", + "S ection", + "Ġd oses", + "oca ust", + "Ġcost ly", + "Ġg rams", + "ĠSh i", + "Ġwrest ling", + "Ġ19 71", + "Ġtro phy", + "Ġn erve", + "ĠK az", + "ĠExper ience", + "Ġpled ged", + "Ġplay back", + "Ġcreat ivity", + "by e", + "Ġattack ers", + "Ġhold ers", + "ĠCo ach", + "ĠPh D", + "Ġtransf ers", + "Ġcol ored", + "ĠH indu", + "Ġd rown", + "Ġlist ened", + "ĠW A", + "ias m", + "P O", + "Ġappeal ing", + "Ġdiscl osed", + "ĠCh icken", + "ag ging", + "Ġple aded", + "Ġnav igation", + "ĠReturn s", + "Ġ[ [", + "R OR", + "E A", + "Ġphotograp her", + "ĠR ider", + "ipp ers", + "Ġsl ice", + "Ġe rect", + "Ġhe d", + "iss ance", + "ĠVik ings", + "ur ious", + "Ġapp et", + "oubted ly", + "Ch ild", + "Ġauthent ic", + "o os", + "ĠM aking", + "Ġannoun cing", + "Ġb od", + "Ġmet er", + "ĠN ine", + "ĠR ogue", + "Ġwork force", + "Ġrenew ed", + "Ġorganis ations", + "ac s", + "P LE", + "Sh ort", + "Ġcomp ounds", + "ĠVis it", + "Ġen velop", + "ear th", + "Ġsupport ive", + "gg le", + "ĠBrus sels", + "ĠGu ild", + "Cre ate", + "RE L", + "Ġaver aged", + "Ġ19 69", + "ri ages", + "Ġlength y", + "Ġforg ot", + "O kay", + "ĠE rd", + "Ġdeal er", + "Ġrec ession", + "D D", + "Ġdesper ately", + "Ġhun ger", + "Ġst icks", + "Ġm ph", + "ĠF aith", + "Ġintention ally", + "Ġdem ol", + "ue ller", + "ĠS ale", + "Ġde bris", + "s pring", + "Ġle ap", + ">> >>", + "Ġcontain ers", + "se lling", + "rane an", + "atter ing", + "Ġcomment ed", + "ĠC M", + "on ut", + "Ġwood s", + "es pecially", + "Ġorgan ize", + "iv ic", + "ĠWood s", + "ang a", + "s qu", + "Ġm aj", + "am on", + "Ġax is", + "Ġ19 74", + "ĠDen mark", + "Ġwar rior", + "ĠP and", + "Ġout lined", + "ĠB O", + "ins ula", + "z illa", + "eb ook", + "Ġd are", + "Ġsear ched", + "Ġnav igate", + "S n", + "writ ing", + "Ġun ited", + "J apan", + "ĠHe brew", + "Ġfl ame", + "Ġrel ies", + "Ġcatch ing", + "ĠSh o", + "Ġimprison ment", + "Ġp ockets", + "Ġclos ure", + "ĠF am", + "t im", + "ade qu", + "Act ivity", + "Ġrecru iting", + "ĠW ATCH", + "ĠArgent ina", + "d est", + "Ġapolog ize", + "or o", + "Ġlack s", + "Ġtun ed", + "ĠGriff in", + "Ġinf amous", + "Ġcelebr ity", + "ss on", + "Ġ ----------------------------------------------------------------", + "ĠIs is", + "ĠDis play", + "Ġcred ibility", + "Ġeconom ies", + "Ġhead line", + "ĠCow boys", + "Ġind ef", + "Ġl ately", + "Ġincent ives", + "but ton", + "ĠM ob", + "A ut", + "Ġres igned", + "ĠO m", + "c amp", + "Ġprof iles", + "Ġsche mes", + "olph ins", + "ay ed", + "Cl inton", + "en h", + "ĠY ahoo", + "Ġab st", + "Ġan k", + "su its", + "Ġw ished", + "ĠMar co", + "udd en", + "Ġsp here", + "ĠB ishop", + "Ġincorpor ated", + "ĠPl ant", + "11 4", + "Ġh ated", + "p ic", + "Ġdon ate", + "Ġl ined", + "Ġbe ans", + "Ġsteal ing", + "Ġcost ume", + "Ġsher iff", + "Ġfor ty", + "Ġint act", + "Ġadapt ed", + "Ġtrave lling", + "b art", + "Ġnice ly", + "Ġdri ed", + "Ġsc al", + "os ity", + "NOT E", + "ĠB h", + "ĠBron cos", + "ĠI gn", + "Ġint imate", + "Ġchem istry", + "Ġopt imal", + "D eb", + "ĠGener ation", + "Ġ] ,", + "ich i", + "ĠW ii", + "ĠYOU R", + "vent ions", + "W rite", + "Ġpop ul", + "un ning", + "ĠW or", + "V ol", + "Ġqu een", + "head s", + "K K", + "Ġanaly ze", + "op ic", + "ear chers", + "Ġd ot", + "leg raph", + "ast ically", + "Ġupgr ades", + "Ġca res", + "Ġext ending", + "Ġfree ze", + "Ġin ability", + "Ġorg ans", + "Ġpret end", + "Ġout let", + "11 3", + "ol an", + "ĠM all", + "ul ing", + "t alk", + "Ġexpress ing", + "ĠAl ways", + "ĠBe gin", + "f iles", + "Ġlic enses", + "% %", + "ĠM itt", + "Ġfil ters", + "ĠMil waukee", + "G N", + "Ġunf old", + "M o", + "Ġnut rition", + "pp o", + "B o", + "Ġfound ing", + "Ġunder mine", + "Ġeas iest", + "ĠC zech", + "ĠM ack", + "Ġsexual ity", + "ĠN ixon", + "W in", + "ĠAr n", + "ĠK in", + "ãĤ £", + "ic er", + "Ġfort un", + "Ġsurf aces", + "agh d", + "Ġcar riers", + "ĠP ART", + "ĠT ib", + "Ġinter val", + "Ġfrust rating", + "ĠSh ip", + "ĠAr med", + "ff e", + "Ġbo ats", + "ĠAb raham", + "in is", + "Ġsu ited", + "th read", + "i ov", + "ab ul", + "ĠVenezuel a", + "Ġto m", + "su per", + "Ġcast le", + "alth ough", + "iox ide", + "ec hes", + "Ġevolution ary", + "Ġnegoti ate", + "Ġconfront ed", + "Rem ember", + "Ġ17 0", + "S uch", + "Ġ9 11", + "m ult", + "ĠA byss", + "ur ry", + "ke es", + "spe c", + "ĠBarb ara", + "Ġbelong ing", + "Ġvill ain", + "ist ani", + "Ġaccount able", + "Ġport ions", + "ĠDe cl", + "U r", + "ĠK ate", + "g re", + "Ġmag azines", + "UC K", + "Ġregul ate", + "om on", + "ĠAl most", + "Ġover view", + "Ġsc ram", + "Ġl oot", + "ĠF itz", + "Ġcharacter istic", + "ĠSn ake", + "s ay", + "ĠR ico", + "Ġtra it", + "ĠJo ined", + "au cus", + "Ġadapt ation", + "ĠAirl ines", + "Ġarch ae", + "ĠI de", + "Ġb ikes", + "Ġliter ary", + "Ġinflu ences", + "ĠUs ed", + "C reat", + "Ġple a", + "ĠDef ence", + "ĠAss ass", + "Ġp ond", + "UL T", + ") \"", + "Ġeval uated", + "Ġob taining", + "Ġdem ographic", + "Ġvig il", + "ale y", + "Ġsp ouse", + "ĠSeah awks", + "resp ons", + "ĠB elt", + "um atic", + "Ġr ises", + "run ner", + "ĠMichel le", + "Ġpot ent", + "r ace", + "ĠP AC", + "F ind", + "olester ol", + "IS S", + "ĠIntrodu ced", + "ress es", + "ign ment", + "O s", + "ĠT u", + "ĠDe x", + "ic ides", + "Ġspark ed", + "ĠLaur a", + "ĠBry ant", + "Ġsm iling", + "ĠNex us", + "Ġdefend ants", + "ĠCat al", + "Ġdis hes", + "sh aped", + "Ġpro long", + "m t", + "( $", + "ãĢ Ĥ", + "Ġcalcul ations", + "ĠS ame", + "Ġp iv", + "H H", + "Ġcance lled", + "Ġgr in", + "Ġterrit ories", + "ist ically", + "C ome", + "ĠP arent", + "Pro ject", + "Ġneg lig", + "ĠPriv acy", + "Ġam mo", + "LE CT", + "olute ly", + "ĠEp ic", + "Ġmis under", + "w al", + "Apr il", + "m os", + "path y", + "ĠC arson", + "Ġalbum s", + "ĠE asy", + "Ġpist ol", + "< <", + "Ġ\\ (", + "t arget", + "hel p", + "Ġinter pre", + "cons cious", + "ĠH ousing", + "ĠJ oint", + "12 7", + "Ġbe ers", + "s cience", + "ĠFire fox", + "effect ive", + "ĠC abin", + "ĠO kay", + "ĠApp lic", + "Ġspace craft", + "ĠS R", + "ve t", + "ĠStr ange", + "S B", + "Ġcor ps", + "iber al", + "e fficient", + "Ġpreval ence", + "Ġeconom ists", + "11 8", + "Th read", + "ord able", + "OD E", + "ĠC ant", + "=- =-", + "if iable", + "ĠA round", + "Ġpo le", + "Ġwilling ness", + "CL A", + "ĠK id", + "Ġcomple ment", + "Ġsc attered", + "Ġin mates", + "Ġble eding", + "e very", + "Ġque ue", + "ĠTr ain", + "Ġh ij", + "Ġme lee", + "ple ted", + "Ġdig it", + "Ġg em", + "offic ial", + "Ġlif ting", + "Ð µ", + "Re qu", + "it utes", + "Ġpack aging", + "ĠWork ers", + "h ran", + "ĠLeban on", + "ol esc", + "Ġpun ished", + "ĠJ uan", + "Ġj am", + "ĠD ocument", + "Ġm apping", + "ic ates", + "Ġinev itably", + "Ġvan illa", + "ĠT on", + "Ġwat ches", + "Ġle agues", + "Ġiniti ated", + "deg ree", + "port ion", + "Ġrec alls", + "Ġru in", + "Ġm elt", + "I AN", + "Ġhe m", + "Ex p", + "Ġb aking", + "ĠCol omb", + "at ible", + "Ġrad ius", + "pl ug", + "ĠI F", + "et ically", + "Ġf ict", + "H ER", + "ĠT ap", + "atin um", + "Ġin k", + "Ġco h", + "ĠW izard", + "b oth", + "te x", + "Ġsp ends", + "ĠCurrent ly", + "ĠP it", + "Ġneur ons", + "ig nt", + "Ġr all", + "Ġbus es", + "b uilding", + "Ġadjust ments", + "Ġc ried", + "ibl ical", + "att ed", + "ĠZ ion", + "ĠM atter", + "Ġmed itation", + "ĠD ennis", + "Ġour s", + "ĠT ab", + "Ġrank ings", + "ort al", + "Ġad vers", + "Ġsur render", + "ĠG ob", + "ci um", + "om as", + "im eter", + "Ġmulti player", + "Ġhero in", + "Ġoptim istic", + "Ġindic ator", + "ĠBr ig", + "Ġgro cery", + "Ġapplic ant", + "ĠRock et", + "v id", + "Ex ception", + "p ent", + "Ġorgan izing", + "Ġenc ounters", + "ĠT OD", + "Ġjew el", + "S ave", + "ĠChrist ie", + "Ġhe ating", + "Ġl azy", + "ĠC P", + "Ġcous in", + "Con fig", + "Ġreg ener", + "Ġne arest", + "Ġachie ving", + "EN S", + "th row", + "ĠRich mond", + "ant le", + "200 2", + "Ġan ten", + "b ird", + "13 3", + "Ġn arc", + "r aint", + "un ny", + "ĠHispan ic", + "ourn aments", + "Ġprop he", + "ĠTh ailand", + "ĠT i", + "Ġinject ion", + "Ġinher it", + "rav is", + "Ġmed i", + "Ġwho ever", + "ĠDE BUG", + "G P", + "ĠH ud", + "C ard", + "p rom", + "Ġp or", + "Ġover head", + "L aw", + "Ġviol ate", + "Ġhe ated", + "Ġdescript ions", + "Ġachieve ments", + "ĠBe er", + "ĠQu ant", + "W as", + "Ġe ighth", + "ĠI v", + "Ġspecial ized", + "U PDATE", + "ĠD elta", + "P op", + "J ul", + "ĠAs k", + "oph y", + "Ġnews letters", + "ĠT ool", + "Ġg ard", + "ĠConf eder", + "ĠGM T", + "ĠAb bott", + "Ġimm unity", + "ĠV M", + "Is lam", + "Ġimpl icit", + "w d", + "Ġ19 44", + "rav ity", + "omet ric", + "Ġsurv iving", + "ur ai", + "ĠPr ison", + "Ġr ust", + "ĠSk etch", + "Ġbe es", + "ĠThe ory", + "Ġmer it", + "T ex", + "ch at", + "Ġm im", + "Ġpast e", + "ĠK och", + "Ġignor ance", + "ĠSh oot", + "Ġbas ement", + "Un ited", + "ĠAd vis", + "he ight", + "Ġf oster", + "Ġdet ain", + "in formation", + "Ġne ural", + "' ;", + "Ġprov es", + "all ery", + "Ġinv itation", + "um bers", + "Ġc attle", + "Ġbicy cle", + "z i", + "Ġconsult ant", + "Ġap ology", + "ĠT iger", + "Ġ12 3", + "99 9", + "Ġind ividually", + "r t", + "ig ion", + "ĠBrazil ian", + "Ġdist urb", + "Ġentreprene urs", + "Ġfore sts", + "cer pt", + "pl ates", + "p her", + "clip se", + "Ġtw itter", + "Ġac ids", + "ograph ical", + "h um", + "ĠB ald", + "if ully", + "Ġcomp iler", + "ĠD A", + "Ġdon or", + "as i", + "Ġtrib al", + "l ash", + "ĠCon fig", + "Ġapplic ants", + "Ġsal aries", + "13 5", + "Put in", + "ĠF ocus", + "ir s", + "Ġmisc onduct", + "ĠH az", + "Ġeat en", + "M obile", + "Mus lim", + "ĠMar cus", + "v iol", + "Ġfavor able", + "Ġst ub", + "ad in", + "ĠH ob", + "Ġfaith ful", + "Ġelectron ics", + "Ġvac uum", + "w ait", + "back ed", + "econom ic", + "d ist", + "Ġten ure", + "Ġsince re", + "ĠT ogether", + "ĠW ave", + "Ġprog ression", + "Ġden ying", + "Ġdist ress", + "br aska", + "th ird", + "Ġmix ing", + "Ġcolon ial", + "Ġpriv ately", + "Ġun rest", + "atern ity", + "Ġprem ises", + "ant i", + "greg ation", + "Ġlic ence", + "ĠH ind", + "ĠSam uel", + "Ġconvinc ing", + "ĠA ce", + "ĠR ust", + "ĠNet anyahu", + "Ġhand les", + "ĠP atch", + "orient ed", + "ah o", + "ĠG onz", + "Ġhack ers", + "claim er", + "Ġcustom s", + "ĠGr an", + "f ighters", + "Ġl uc", + "Ġman uscript", + "aren thood", + "Ġdev il", + "Ġwar riors", + "Ġoff enders", + "Will iam", + "Ġhol idays", + "Ġnight mare", + "Ġle ver", + "iff erent", + "St at", + "Ġexhib ition", + "put ed", + "ĠP ure", + "Ġal pha", + "Ġenthus iasm", + "ĠRepresent atives", + "E AR", + "ĠT yp", + "Ġwhe at", + "ĠAl f", + "Ġcor rection", + "Ġev angel", + "AT T", + "M iss", + "Ġs oup", + "Ġimpl ied", + "par am", + "Ġsex y", + "ĠL ux", + "Ġrep ublic", + "p atch", + "ab lish", + "Ġic ons", + "Ġfather s", + "ĠG ET", + "ĠCar ib", + "Ġregul ated", + "ĠCo hen", + "ĠBob by", + "Ġn er", + "Ġb ent", + "vent ory", + "ĠAl ong", + "ĠE ST", + "ĠWall ace", + "Ġmurd ers", + "r ise", + "ke ll", + "ĠCommon wealth", + "Ġn asty", + "et a", + "ĠM IT", + "Ġadminist ered", + "Ġgenuine ly", + "Ed itor", + "n ick", + "Ġhyd ro", + "**************** ****************", + "ĠB le", + "Ġfin es", + "Ġg orge", + "aus ible", + "r h", + "Ġapp le", + "ment ioned", + "Ġro pe", + "ot yp", + "H R", + "Ġdisappoint ing", + "Ġc age", + "n ik", + "Ġdoub ts", + "ĠF REE", + "print s", + "ĠM UST", + "Ġvend ors", + "ĠIn qu", + "Ġliber als", + "Ġcontract or", + "Ġup side", + "child ren", + "Ġtrick y", + "Ġregul ators", + "charg ed", + "l iter", + "Ġ ***", + "Ġreb ell", + "l ang", + "Ġloc als", + "Ġphys icians", + "Ġhe y", + "ar se", + "t m", + "ĠLe x", + "Ġbehavior al", + "success ful", + "F X", + "Ġbr ick", + "ov ic", + "Ġcon form", + "Ġreview ing", + "Ġins ights", + "Ġbi ology", + "ĠRem ove", + "ĠExt ra", + "Ġcomm itting", + "indu ced", + "ignt y", + "ig m", + "Ġat omic", + "Comm on", + "ĠE M", + "ĠP ere", + "ĠIt ems", + "e h", + "Ġpres erved", + "ĠH ood", + "Ġprison er", + "Ġbankrupt cy", + "Ġg ren", + "us hes", + "Ġexplo itation", + "Ġsign atures", + "Ġfin an", + "] ,\"", + "ĠM R", + "Ġme g", + "rem lin", + "Ġmusic ians", + "Ġselect ing", + "Ġexam ining", + "IN K", + "l ated", + "H i", + "Ġart ic", + "Ġp ets", + "Ġimp air", + "ĠM AN", + "Ġtable ts", + "in clude", + "R ange", + "Ġca ut", + "Ġlog s", + "Ġmount ing", + "Ġun aware", + "Ġdynam ics", + "ĠPalest ine", + "ĠQu arter", + "ĠPur ple", + "Ġm a", + "ĠIm port", + "Ġcollect ions", + "ci ation", + "Ġsuccess or", + "Ġcl one", + "Ġaim ing", + "Ġposs essed", + "Ġstick ing", + "Ġsh aking", + "Ġloc ate", + "ĠH ockey", + "T urn", + "17 0", + "Ġfif teen", + "ĠHar rison", + "Ġcontinu ously", + "ĠT C", + "ĠVal ent", + "ĠRes cue", + "Ġby pass", + "am ount", + "Ġm ast", + "Ġprotect s", + "Ġart istic", + "Ġsomet ime", + "Ġsh oe", + "Ġshout ed", + "ific ant", + "et itive", + "ĠReg ister", + "ĠJ in", + "Ġconcent rated", + "ling ton", + "on ies", + "Ġgener ator", + "yr im", + "ĠAr men", + "Ġclear ing", + "id o", + "ĠT W", + "al ph", + "Ġlad ies", + "H ard", + "Ġdial og", + "Ġinput s", + "æ ľ", + "Ġpos es", + "Ġsl ots", + "ĠPrem ium", + "Ġle aks", + "Ġboss es", + "Ġ11 3", + "c ourse", + "A cc", + "ĠNew ton", + "ĠAust ria", + "ĠM age", + "Ġte aches", + "ab ad", + "Ġwe ars", + "Ġc yl", + "Ġcur se", + "ĠS ales", + "ĠW ings", + "Ġp sy", + "Ġg aps", + "ĠIce land", + "ĠP interest", + "Ġland lord", + "Ġdefin itions", + "ĠK er", + "Ġsufficient ly", + "ĠP ence", + "ĠArch itect", + "Ġsur pass", + "Ġ11 4", + "Ġsuper hero", + "ĠDise ase", + "Ġpri ests", + "ĠC ulture", + "Ġdefin itive", + "Ġsecret ly", + "ĠD ance", + "inst all", + "ch ief", + "ĠJess ica", + "W ould", + "Up dated", + "Ġlock er", + "ĠK ay", + "Ġmem orial", + "è ¦", + "f at", + "Ġdis gu", + "Ġflav ors", + "ĠBase ball", + "ĠRes istance", + "Ġk icks", + "Ġen v", + "Ġteen agers", + "D ark", + "ĠC AR", + "Ġh alt", + "ĠL G", + "ĠGab riel", + "Ġfe ver", + "Ġs atur", + "Ġm all", + "Ġaffili ate", + "ĠS leep", + "ĠSpe cific", + "ĠV el", + "Ġj ar", + "ĠSac red", + "ĠEd wards", + "ĠA CL", + "Ġret ained", + "ĠG iant", + "Ġlim itation", + "in ces", + "Ġref usal", + "ĠT ale", + "ĠBut ler", + "Ġacc idents", + "ĠC SS", + "Ġimport ed", + "ĠCop y", + "Î ±", + "ER T", + "z el", + "Ġdiv isions", + "h ots", + "ĠAl b", + "ĠD S", + "Load er", + "W ashington", + "at isf", + "ĠCreat ive", + "\\ .", + "ĠAut om", + "red ict", + "Ġrecept or", + "ĠCarl os", + "Met hod", + "ok a", + "Ġmal icious", + "Ġste pping", + ", [", + "ĠD ad", + "Ġatt raction", + "ĠEffect s", + "ĠPir ate", + "ĠC er", + "ĠIndust ry", + "ĠR ud", + "Ġchar ter", + "Ġd ining", + "Ġins ists", + "Ġconfig ure", + "Ġ( #", + "ĠSim ple", + "ĠSc roll", + "UT C", + "17 5", + "ĠK on", + "Ġmarket place", + "Ġ ãĤ", + "Ġref res", + "Ġg ates", + "er red", + "ĠP od", + "Ġbeh ave", + "Fr ank", + "n ode", + "Ġendors ed", + "he tt", + "as ive", + "ĠHom eland", + "Ġr ides", + "ĠLe ave", + "er ness", + "Ġflood ing", + "A FP", + "Ġris en", + "Ġcontin ually", + "Ġun anim", + "ĠCont ract", + "ĠP as", + "Ġgu ided", + "ĠCh ile", + "b d", + "Ġsu cc", + "pt ic", + "Ġcomm ittees", + "ĠL uther", + "ĠAny one", + "Ġs ab", + "12 4", + "Ġp ixel", + "ĠB ak", + "ĠT ag", + "ĠBenn ett", + "En ter", + "sm all", + "ĠPresident ial", + "Ġp ul", + "Ġcontr ace", + "arch ive", + "Ġcoast al", + "ĠK ids", + "19 2", + "âĢ ²", + "ick y", + "ING TON", + "Ġw olf", + "ĠSt alin", + "T ur", + "id get", + "am as", + "ĠUn less", + "Ġspons or", + "Ġmor ph", + "ĠCho ose", + "Ġrun ner", + "Ġun bel", + "Ġm ud", + "ĠMan a", + "Ġdub bed", + "Ġg odd", + "ure rs", + "wind ow", + "Ġrel ied", + "Ġcelebr ating", + "os c", + "Ġ13 5", + "Ġlobb ying", + "Ġincom plete", + "Ġrestrict ion", + "Ġinc ap", + "it us", + "Ġexpect ation", + "ĠAp ollo", + "Ġint ens", + "Ġsyn c", + "G H", + "Ġmanip ulation", + "B Y", + "Ġspe ar", + "Ġbre asts", + "Ġvol can", + "il ia", + "M aterial", + "Ġform ats", + "ĠB ast", + "Ġparliament ary", + "Ġsn ake", + "Ġserv ants", + "ĠTr udeau", + "ĠGr im", + "ĠArab ic", + "ĠSC P", + "ĠBoy s", + "st ation", + "Ġprospect ive", + "ord e", + "in itialized", + "Ġb ored", + "AB LE", + "Ġaccess ed", + "Ġtax i", + "ĠShe ll", + "aid en", + "urs ed", + "in ates", + "ĠIns urance", + "ĠPet e", + "Sept ember", + "6 50", + "Ġad ventures", + "ĠCo ver", + "Ġt ribute", + "Ġsk etch", + "Ġem power", + "Ġ Ø", + "ĠGl enn", + "ĠD aw", + "= \\\"", + "ĠPolit ics", + "Ġgu ides", + "Ġd ioxide", + "ĠG ore", + "ĠBr ight", + "ĠS ierra", + "Ġval ued", + "c ond", + "Ġpo inter", + "Se lect", + "Ġrisk y", + "Ġabsor b", + "im ages", + "Ġref uses", + "Ġbon uses", + "__ _", + "Ġh ilar", + "ĠF eatures", + "2 20", + "ĠCollect or", + "F oot", + "Ġ19 64", + "cul us", + "Ġd awn", + "Ġwork out", + "ĠL O", + "Ġphilosoph ical", + "ĠSand y", + "ĠYou th", + "Ġl iable", + "A f", + "bl ue", + "Ġovert urn", + "less ness", + "ĠTrib une", + "ĠIn g", + "Ġfact ories", + "Ġcat ches", + "Ġpr one", + "Ġmat rix", + "Ġlog in", + "Ġin acc", + "Ġex ert", + "s ys", + "Ġneed le", + "ĠQ ur", + "Ġnot ified", + "ould er", + "t x", + "Ġremind s", + "Ġpublisher s", + "Ġn ort", + "Ġg it", + "Ġfl ies", + "ĠEm ily", + "Ġflow ing", + "ĠAl ien", + "ĠStr ateg", + "Ġhard est", + "Ġmod ification", + "AP I", + "ĠM Y", + "Ġcr ashes", + "st airs", + "n umber", + "Ġur ging", + "ch annel", + "ĠFal con", + "Ġinhabit ants", + "Ġterr ifying", + "Ġutil ize", + "Ġban ner", + "Ġcig arettes", + "Ġsens es", + "ĠHol mes", + "Ġpract ition", + "ĠPhill ips", + "ott o", + "Ġcomp ile", + "Mod el", + "ĠK o", + "Ġ[ ]", + "Americ ans", + "ĠTer ms", + "Ġmed ications", + "ĠAn a", + "Ġfundament ally", + "ĠNot ice", + "Ġwe aker", + "Ġ 0000", + "Ġgar lic", + "Ġout break", + "Ġeconom ist", + "ĠB irth", + "Ġobst acles", + "ar cer", + "ĠOr thodox", + "Ġplace bo", + "ĠC rew", + "asp berry", + "ĠAng els", + "Ġdis charge", + "Ġdestruct ive", + "11 7", + "ĠR ising", + "Ġd airy", + "l ate", + "Ġcoll ision", + "ĠTig ers", + "ean or", + "ocument ed", + "ĠIn valid", + "Ġd ont", + "ĠL iter", + "ĠV a", + "Ġhyd rogen", + "Ġvari ants", + "ĠBrown s", + "Ġ19 65", + "Ġind igenous", + "Ġtrad es", + "Ġremain der", + "Ġswe pt", + "ĠImp act", + "Ġred ist", + "Ġun int", + "grad uate", + "ãĥ ķ", + "ĠW ILL", + "ãģ® ç", + "ĠCrit ical", + "Ġf isher", + "Ġv icious", + "Ġrevers ed", + "Y ear", + "ĠS ox", + "Ġshoot ings", + "Ġfil ming", + "Ġtouchdown s", + "ai res", + "m el", + "Ġgrand father", + "Ġaffect ion", + "ing le", + "Ġover ly", + "Add itional", + "Ġsup reme", + "ĠGr ad", + "Ġsport ing", + "Ġmer cy", + "ĠBrook s", + "ount y", + "Ġperform s", + "Ġtight ly", + "Ġdem ons", + "Ġkill ings", + "Ġfact ion", + "ĠNov a", + "aut s", + "Ġund oubtedly", + "ar in", + "Ġunder way", + "ra k", + "Ġl iv", + "ĠReg ion", + "Ġbrief ing", + "s ers", + "cl oud", + "ĠM ik", + "us p", + "Ġpred iction", + "az or", + "Ġport able", + "ĠG and", + "Ġpresent ing", + "Ġ10 80", + " »", + "ush i", + "ĠSp ark", + "there um", + "Ġjust ification", + "ĠN y", + "Ġcontract ors", + "ming ham", + "ĠSt yle", + "å ħ", + "ĠChron icles", + "ĠPict ure", + "Ġprov ing", + "Ġw ives", + "set t", + "Ġmole cules", + "ĠFair y", + "Ġconsist ing", + "Ġp ier", + "al one", + "in ition", + "Ġn ucle", + "j son", + "Ġg otta", + "Ġmob il", + "Ġver bal", + "ar ium", + "Ġmon ument", + "uck ed", + "Ġ25 6", + "T ech", + "mine craft", + "ĠTr ack", + "Ġt ile", + "Ġcompat ibility", + "as is", + "Ġs add", + "Ġinstruct ed", + "ĠM ueller", + "Ġle thal", + "Ġhorm one", + "Ġor che", + "el se", + "Ġske let", + "Ġentert aining", + "Ġminim ize", + "ag ain", + "Ġunder go", + "Ġconst raints", + "Ġcig arette", + "ĠIslam ist", + "Ġtravel s", + "ĠPant hers", + "l ings", + "C are", + "Ġlaw suits", + "ur as", + "Ġcry st", + "Ġlow ered", + "Ġaer ial", + "Ġcomb inations", + "Ġha un", + "Ġch a", + "Ġv ine", + "Ġquant ities", + "Ġlink ing", + "b ank", + "Ġso y", + "B ill", + "ĠAngel a", + "Ġrecip ient", + "ĠProt est", + "Ġs ocket", + "Ġsolid arity", + "Ġâ Ĩ", + "m ill", + "Ġvar ies", + "ĠPak istani", + "Dr agon", + "Ġun e", + "Ġhor izon", + "³³³³ ³³³³", + "Ġprov inces", + "Ġfrank ly", + "Ġenact ed", + "not es", + "[ '", + "Ġ19 2", + "ocr acy", + "Ġendorse ment", + "Ġover time", + "Tr ue", + "L ab", + "lic ted", + "ĠD NC", + "Ġbe ats", + "ĠJam ie", + "15 2", + "ĠIN T", + "Cont act", + "Ġaccount ed", + "h ash", + "ĠPack ers", + "p ires", + "Ġles bian", + "Ġamend ments", + "Ġhop eful", + "ĠFin land", + "Ġspot light", + "Ġconfig ured", + "Ġtrou bled", + "Ġg aze", + "ĠCal gary", + "Ġrel iability", + "Ġins urg", + "sw er", + "b uy", + "ĠSk in", + "Ġp ixels", + "Ġhand gun", + "Ġpar as", + "Ġcateg or", + "ĠE L", + "ĠRe x", + "Ind eed", + "Ġkind a", + "Ġconj unction", + "ĠBry an", + "ĠMan ufact", + "y ang", + "Pl us", + "S QL", + "ish ment", + "Ġdom inate", + "Ġn ail", + "Ġo ath", + "Ġeru pt", + "ĠF ine", + "it bart", + "ĠCh ip", + "ĠAb d", + "ĠN am", + "Ġbuy er", + "Ġdiss ent", + "Le aks", + "Cont in", + "Ġr ider", + "ĠSome one", + "Ġill usion", + "c in", + "ĠBoe ing", + "Ġin adequ", + "ov ation", + "i ants", + "Ġreb uild", + "4 50", + "ĠDest iny", + "S W", + "ĠT ill", + "H it", + "ia z", + "ĠBang l", + "acher s", + "ĠRe form", + "Ġse gments", + "Ġsystem atic", + "d c", + "ĠConserv atives", + "Ġport al", + "h or", + "ĠDragon bound", + "Ġdrag ged", + "om o", + "Ġthe e", + "ad vert", + "ĠRep orts", + "ĠE t", + "Ġbarrel s", + "Aug ust", + "Ġcompar isons", + "Ġhe x", + "Ġan throp", + "\" [", + "bor ough", + "ab i", + "Ġpict ured", + "play ing", + "ĠAdd ress", + "ĠMir ror", + "Sm ith", + "Ġt ires", + "ĠN PR", + "AA AA", + "Ġclass ification", + "ĠTh an", + "ĠH arm", + "ĠR A", + "Ġreject ion", + "min ation", + "Ġr anged", + "ĠF alls", + "D I", + "H ost", + "ãĤ ´", + "ĠEx ample", + "list ed", + "th irds", + "Ġsaf egu", + "br and", + "Ġprob able", + "Can ada", + "IT ION", + "ĠQ aeda", + "Ġch ick", + "Ġimport s", + "h it", + "l oc", + "W W", + "Ġble w", + "Ġany time", + "Ġwh oles", + "ik ed", + "Ġcal culation", + "cre ate", + "ĠO ri", + "Ġupgr aded", + "Ġapp ar", + "ut ory", + "ĠM ol", + "B rit", + "ĠJ ong", + "IN AL", + "ĠStart ing", + "Ġd ice", + "urt le", + "Ġre lying", + "cl osure", + "Ġprof itable", + "Ġsl aughter", + "ĠMan ual", + "c aster", + "Ġ\" $", + "Ġfe ather", + "ĠSim ply", + "ie ves", + "Ġdeter ior", + "ĠPC I", + "Ġst amp", + "Ġfl aws", + "Ġsh ade", + "ham mer", + "Ġpass port", + "Ġcont ing", + "am el", + "Ġobser vers", + "Ġneg lect", + "ĠR B", + "ĠBrother hood", + "Ġskept ical", + "f amily", + "us k", + "Ġemotion ally", + "â Ļ", + "ĠBet a", + "ason able", + "id ity", + "ĠM ul", + "Ġkick ing", + "ĠC arm", + "oll ah", + "VERT IS", + "ĠAt hen", + "Ġlad der", + "ĠBul let", + "å £", + "00 01", + "ĠWild life", + "ĠM ask", + "ĠN an", + "R ev", + "Ġun acceptable", + "leg al", + "Ġcrowd ed", + "ag i", + "ĠC ox", + "j e", + "Ġmor ality", + "Ġfu els", + "Ġc ables", + "Ġman kind", + "ĠCarib bean", + "Ġanch or", + "Ġby te", + "ĠO ften", + "ĠO z", + "Ġcraft ed", + "Ġhistor ian", + "ĠW u", + "Ġtow ers", + "ĠCitiz ens", + "Ġhel m", + "Ġcred entials", + "Ġsing ular", + "ĠJes se", + "Ġtack les", + "Ġcont empt", + "Ġa fore", + "ĠSh adows", + "Ġn il", + "Ġur gent", + "app le", + "bl ood", + "Ġv on", + "Ġoff line", + "Ġbreat he", + "Ġj umps", + "Ġirre levant", + "ox ic", + "om al", + "import ant", + "J im", + "Ġgl oves", + "arm ing", + "dep th", + "Ġtal ents", + "ook ie", + "ĠS B", + "Ġpal m", + "uff s", + "est a", + "IG H", + "Ġcan on", + "ĠVer izon", + "ĠP le", + "Ġcou pled", + "vel t", + "Ġfundra ising", + "ĠGet ting", + "ĠD LC", + "Ġmathemat ical", + "ĠH S", + "ĠCard inals", + "te lling", + "Ġspons ors", + "Ġ Ï", + "ĠBull s", + "op tion", + "Ġprop ose", + "Ġmem orable", + "Ġembr aced", + "Ġdecl ining", + "He alth", + "ed a", + "Ġ} ;", + "Ġsp am", + "m ile", + "Ġpit cher", + "ĠE ight", + "Ġcar ing", + "ut ic", + "ro le", + "Ġair line", + "ernand ez", + "ĠAth let", + "Ġcert ification", + "ux e", + "rig er", + "Ġem pir", + "Ġsens ation", + "Ġdis m", + "Ġb olt", + "Ġev olve", + "H ouse", + "Ġconsult ation", + "ĠD uty", + "Ġtou ches", + "ĠN athan", + "Ġf aint", + "h ad", + "\" (", + "ĠCons umer", + "ĠExt reme", + "Ġ12 7", + "ĠHer m", + "ĠSac rament", + "iz oph", + "Ġanx ious", + "ul ously", + "Ġsoc ially", + "ĠU TC", + "Ġsol ving", + "ĠLet ter", + "Hist ory", + "ed uc", + "Pr ice", + ") );", + "Ġrel oad", + "am ic", + "Ġp ork", + "Ġdisc ourse", + "Ġt ournaments", + "ai ro", + "ĠK ur", + "ĠCost a", + "Ġviol ating", + "Ġinterf ere", + "Ġrecre ational", + "uff le", + "Ġspe eches", + "Ġneed ing", + "Ġremem bers", + "Ġcred ited", + "n ia", + "f ocused", + "amer a", + "Ġb ru", + "um bs", + "ĠCub an", + "Ġpreced ing", + "Ġnons ense", + "ac ial", + "Ġsmart phones", + "ĠSt ories", + "S ports", + "ĠEmer gency", + "oun cing", + "ef ined", + "Ġb er", + "Ġconsult ing", + "Ġm asters", + "he astern", + ".\" [", + "ĠRun ning", + "Ġsus cept", + "ĠF eng", + "Americ a", + "pr ises", + "st itial", + "ĠWeek ly", + "ĠGreat er", + "mod ules", + "if ter", + "G raphics", + "ul er", + "Ġwho lly", + "Ġsupp ress", + "Ġconce aled", + "Ġhapp ily", + "Ġaccept s", + "ĠEn joy", + "Ġr ivers", + "ĠEx cept", + "2 25", + "ĠN HS", + "ĠMc Connell", + "Ġp ussy", + "fer red", + "ut able", + "Ġatt ain", + "Ġ> =", + "Ġdepos its", + "roph ic", + "Ġnot orious", + "ĠSh aw", + "il itation", + "Ġepid emic", + "all ic", + "Ġsmall est", + "ov ich", + "Ġaccess ories", + "per ties", + "Ġsur plus", + "ĠMe ch", + "Ġamb ig", + "ĠImm igration", + "Ġch im", + "ev al", + "Ġpract icing", + "ĠMyster y", + "Ġdom ains", + "ĠSil icon", + "app s", + "Ġkilomet ers", + "e a", + "ĠSm ash", + "Ġwarrant y", + "Ġn ost", + "s il", + "re v", + "J on", + "ĠDub lin", + "Ġtast es", + "Ġb out", + "g reat", + "er ror", + "Ġsw itches", + "ĠB apt", + "D O", + "ok i", + "Ġsour ced", + "pro du", + "Ġattach ment", + "ĠIss ue", + "ĠQuest ion", + "Jo in", + "Ġf itted", + "Ġunlaw ful", + "^ ^", + "ere k", + "Ġauthent ication", + "Ġst ole", + "Ġaccount ability", + "l abel", + "S earch", + "Ġal beit", + "atic an", + "fund ed", + "ĠAdd ing", + "ĠI Q", + "Ġsub mar", + "l it", + "a que", + "ĠLear ning", + "Ġint eger", + "M aster", + "ĠCh rom", + "Ġprem ier", + "O p", + "ĠLi u", + "Ġbl essed", + "ĠGl obe", + "ĠResp onse", + "Ġlegit im", + "ĠMer kel", + "Ġdispos al", + " ´", + "Ġgau ge", + "pe at", + "Ġindu ced", + "Ġquestion able", + "arth y", + "ĠV it", + "ĠF eed", + "U ntil", + "U t", + "worth y", + "R Y", + "ĠH erald", + "ĠHam mer", + "Ġmed al", + "ĠR ivers", + "ĠH ack", + "Ġclar ify", + "Ġtrack ed", + "Ġautonom ous", + "Ġten ant", + "ĠQ atar", + "er ie", + "Ġgr im", + "ĠMon itor", + "Ġresist ant", + "ĠSpe c", + "ĠWell s", + "N AS", + "14 8", + "Ġmin ers", + "iot ics", + "Ġmiss es", + "11 6", + "g ian", + "g it", + "ĠE yes", + "p res", + "Ġgrad uated", + "Ġang el", + "Ġsyn chron", + "Ġefficient ly", + "Ġtrans mitted", + "H arry", + "Ġglob ally", + "EN CE", + "ĠMont ana", + "r aged", + "ĠPre vention", + "Ġp iss", + "ĠL l", + "Ġshe lf", + "ĠB JP", + "ĠTest ament", + "ĠL ate", + "ik er", + "ĠH app", + "ĠJul ian", + "h all", + "Ġsp ont", + "Ġshut down", + "Ġincons istent", + "Ġsubscrib ers", + "Ġske leton", + "ĠNe braska", + "Ġins pire", + "ĠV oid", + "F eed", + "Ġang les", + "ĠSpr ings", + "Ġbench mark", + "Ġvacc ines", + "izoph ren", + "se xual", + "uff ed", + "Ġsh ine", + "ĠK ath", + "Ġgest ure", + "ine a", + "Ġr ip", + "Ġopp ression", + "Ġcons cience", + "b t", + "ĠL um", + "Ġinc idence", + "ĠF a", + "w r", + "Ġmin eral", + "ĠSp urs", + "alk y", + "Ġth under", + "Ġop io", + "Be ing", + "ĠPal m", + "Ġwas ted", + "Ġl b", + "i aries", + "ĠIniti ative", + "Ġcur ric", + "Ġmark er", + "ĠMc L", + "Ġext ensions", + "ĠP v", + "ĠAr ms", + "Ġoffer ings", + "Ġdef enses", + "Ġvend or", + "Ġcontrad ict", + "ĠCol in", + "Ġredd it", + "Ġper ipher", + "12 2", + "Ġs ins", + "E dit", + "IC T", + "So ft", + "ĠSh ah", + "Ġadministr ator", + "ĠT rip", + "Ġporn ography", + "Ġtu ition", + "in ence", + "ĠPro gress", + "Ġcat alog", + "Ġsu ite", + "Ġh ike", + "Ġreprodu ctive", + "eng ine", + "Ġd rought", + "ĠNo ah", + "Ġ2 30", + "Ġd ude", + "Ġrelax ed", + "Ġpart ition", + "Ġparticip ant", + "Ġtel esc", + "Ġfe as", + "ĠF F", + "own er", + "Ġswe eping", + "Ġl enses", + "Ġmatch up", + "ĠRe pl", + "ourn als", + "Ġcred ible", + "Ġgrand mother", + "Ġther mal", + "Ġsubscrib ing", + "Ġident ities", + "col m", + "U CT", + "Ġreluct ant", + "us ers", + "ĠC ort", + "Ġassist ed", + "OS S", + "ATION S", + "IS H", + "Ġpharm aceutical", + "ic able", + "ad ian", + "ĠSon ic", + "ĠF ury", + "ĠM ong", + "A H", + "ĠPsych ology", + "Ġph osph", + "Ġtreat s", + "Ń Ķ", + "Ġstead ily", + "ĠHell o", + "Ġrel ates", + "Ġcl ue", + "Ex pl", + "a uth", + "Ġrev ision", + "Ġe ld", + "os ion", + "Ġbr on", + "14 4", + "ri kes", + "Ġmin es", + "Ġblank et", + "ĠF ail", + "el ed", + "ĠIm agine", + "ĠPl anned", + "a ic", + "Re quest", + "M ad", + "ĠHor se", + "ĠEag le", + "Ġcap ac", + "15 7", + "Ġl ing", + "ĠN ice", + "ĠP arenthood", + "min ster", + "og s", + "ens itive", + "Not hing", + "Ġcar n", + "F in", + "ĠP E", + "Ġr ifles", + "ĠL P", + "S and", + "Ġgui Active", + "Ġtour ist", + "C NN", + "Ġunve iled", + "Ġpredec essor", + "} {", + "u ber", + "Ġoff shore", + "Ġopt ical", + "ĠR ot", + "ĠPear l", + "et on", + "Ġst ared", + "Ġfart her", + "at ility", + "cont in", + "ĠG y", + "ĠF oster", + "ĠC oc", + "ri ents", + "Ġdesign ing", + "ĠEconom y", + "ON G", + "W omen", + "ĠN ancy", + "er ver", + "Ġmas cul", + "Ġcasual ties", + "Ġ2 25", + "ĠS ullivan", + "ĠCh oice", + "Ġa ster", + "w s", + "Ġhot els", + "Ġconsider ations", + "Ġcou ch", + "ĠSt rip", + "ĠG n", + "Ġmanip ulate", + "l ied", + "Ġsynt hetic", + "Ġassault ed", + "Ġoff enses", + "ĠDra ke", + "Ġim pe", + "Oct ober", + "ĠHer itage", + "h l", + "ĠBl air", + "Un like", + "Ġg rief", + "Ġ4 50", + "Ġopt ed", + "Ġresign ation", + "il o", + "Ġver se", + "ĠT omb", + "Ġu pt", + "Ġa ired", + "ĠH ook", + "ĠML B", + "Ġassum es", + "out ed", + "ĠV ers", + "Ġinfer ior", + "Ġbund le", + "ĠD NS", + "ograp her", + "Ġmult ip", + "ĠSoul s", + "Ġillust rated", + "Ġtact ic", + "Ġdress ing", + "Ġdu o", + "Con f", + "Ġrel ent", + "Ġc ant", + "Ġscar ce", + "Ġcand y", + "ĠC F", + "Ġaffili ated", + "Ġspr int", + "yl an", + "ĠGarc ia", + "Ġj unk", + "Pr int", + "ex ec", + "C rit", + "Ġport rait", + "ir ies", + "ĠOF F", + "Ġdisp utes", + "W R", + "L ove", + "ãģ Ħ", + "ĠRe yn", + "Ġh ipp", + "op ath", + "Ġflo ors", + "ĠFe el", + "Ġwor ries", + "Ġsett lements", + "ĠP os", + "Ġmos que", + "Ġfin als", + "Ġcr ushed", + "ĠPro bably", + "ĠB ot", + "ĠM ans", + "ĠPer iod", + "Ġsovere ignty", + "Ġsell er", + "Ġap ost", + "Ġam ateur", + "Ġd orm", + "Ġconsum ing", + "Ġarm our", + "ĠRo ose", + "Ġint ensive", + "Ġelim inating", + "ĠSun ni", + "ĠAle ppo", + "j in", + "Ġadv ise", + "p al", + "ĠH alo", + "Ġdes cent", + "Ġsimpl er", + "Ġbo oth", + "ST R", + "L ater", + "ĠC ave", + "== =", + "Ġm ol", + "Ġf ist", + "Ġshot gun", + "su pp", + "Ġrob bery", + "E ffect", + "Ġobsc ure", + "ĠProf essional", + "Ġemb assy", + "Ġmilit ant", + "Ġinc arcer", + "Ġgener ates", + "Ġlaun ches", + "Ġadministr ators", + "Ġsh aft", + "Ġcirc ular", + "Ġfresh man", + "ĠW es", + "ĠJo el", + "ĠD rew", + "ĠDun can", + "ĠApp arently", + "s ight", + "ĠIntern al", + "ĠInd ividual", + "ĠF E", + "Ġb ore", + "ĠM t", + "Ġbroad ly", + "ĠO ptions", + "ount ain", + "ip es", + "ĠV ideos", + "20 4", + "Ġh ills", + "Ġsim ulation", + "Ġdisappoint ment", + "it an", + "ĠLabor atory", + "Ġup ward", + "Ġbound ary", + "Ġdark er", + "h art", + "Ġdomin ance", + "C ong", + "ĠOr acle", + "ĠL ords", + "Ġscholars hip", + "ĠVin cent", + "ed e", + "ĠR ah", + "Ġencour ages", + "ro v", + "Ġqu o", + "Ġprem ise", + "ĠCris is", + "ĠHol ocaust", + "Ġrhyth m", + "Ġmet ric", + "cl ub", + "Ġtransport ed", + "Ġn od", + "ĠP ist", + "Ġancest ors", + "ĠFred er", + "th umbnails", + "ĠC E", + "ON D", + "Ph il", + "ven ge", + "ĠProduct s", + "cast le", + "Ġqual ifying", + "ĠK aren", + "VERTIS EMENT", + "Ġmight y", + "Ġexplan ations", + "Ġfix ing", + "D i", + "Ġdecl aring", + "Ġanonym ity", + "Ġju ven", + "ĠN ord", + "ĠDo om", + "ĠAct ually", + "O k", + "ph is", + "ĠDes ert", + "Ġ11 6", + "I K", + "ĠF M", + "Ġinc omes", + "V EL", + "ok ers", + "Ġpe cul", + "Ġlight weight", + "g ue", + "Ġacc ent", + "Ġincre ment", + "ĠCh an", + "Ġcompl aining", + "ĠB aghd", + "Ġmidfield er", + "Ġover haul", + "Pro cess", + "ĠH ollow", + "ĠTit ans", + "Sm all", + "man uel", + "ĠUn ity", + "ĠEv ents", + "S ty", + "Ġdispro portion", + "n esty", + "en es", + "ĠC od", + "Ġdemonstr ations", + "ĠCrim son", + "ĠO H", + "Ġen rolled", + "Ġc el", + "ĠBre tt", + "Ġa ide", + "Ġhe els", + "Ġbroad band", + "Ġmark ing", + "Ġw izard", + "ĠN J", + "ĠChief s", + "Ġingred ient", + "Ġd ug", + "ĠSh ut", + "urch ase", + "end or", + "Ġfar mer", + "ĠGold man", + "12 9", + "15 5", + "Or der", + "Ġl ion", + "i ably", + "Ġst ain", + "ar ray", + "ilit ary", + "ĠFA Q", + "Ġexpl oded", + "ĠMcC arthy", + "ĠT weet", + "ĠG reens", + "ek ing", + "l n", + "ens en", + "Ġmotor cycle", + "Ġpartic le", + "Ġch olesterol", + "B ron", + "Ġst air", + "Ġox id", + "Ġdes irable", + "ib les", + "Ġthe or", + "for cing", + "Ġpromot ional", + "ov o", + "b oot", + "ĠBon us", + "raw ling", + "Ġshort age", + "ĠP sy", + "Ġrecru ited", + "Ġinf ants", + "Ġtest osterone", + "Ġded uct", + "Ġdistinct ive", + "Ġfirm ware", + "bu ilt", + "14 5", + "Ġexpl ored", + "Ġfact ions", + "Ġv ide", + "Ġtatt oo", + "Ġfinan cially", + "Ġfat igue", + "Ġproceed ing", + "const itutional", + "Ġmis er", + "Ġch airs", + "gg ing", + "ipp le", + "Ġd ent", + "Ġdis reg", + "ç Ķ", + "st ant", + "ll o", + "b ps", + "aken ing", + "Ġab normal", + "ĠE RA", + "å£ «", + "ĠH BO", + "ĠM AR", + "Ġcon cess", + "Ġserv ant", + "Ġas pir", + "l av", + "ĠPan el", + "am o", + "Ġprec ip", + "Ġrecord ings", + "Ġproceed ed", + "Ġcol ony", + "ĠT ang", + "ab lo", + "Ġstri pped", + "Le ft", + "to o", + "Ġpot atoes", + "Ġfin est", + "% ).", + "Ġc rap", + "ĠZ ach", + "ab ases", + "ĠG oth", + "Ġbillion aire", + "w olf", + "Ġsan ction", + "S K", + "Ġlog ged", + "P o", + "ey ed", + "un al", + "Ġcr icket", + "Ġarm ies", + "Ġunc overed", + "Cl oud", + "ó n", + "Ġreb ounds", + "Ġm es", + "O per", + "P ac", + "Ġnation ally", + "Ġinsert ed", + "p ict", + "Ġgovern ance", + "Ð ¸", + "Ġprivile ges", + "G ET", + "Ġfavor ites", + "im ity", + "Ġlo ver", + "the m", + "em pl", + "Ġgorge ous", + "An n", + "Ġsl ipped", + "Ġve to", + "B ob", + "Ġsl im", + "u cc", + "ĠF ame", + "udden ly", + "Ġden ies", + "ĠM aur", + "Ġdist ances", + "Ġw anna", + "t ar", + "ĠS ER", + "Ġâ Ī", + "Ġle mon", + "at hetic", + "Ġlit eral", + "Ġdistingu ished", + "Ġansw ering", + "G I", + "Ġrelig ions", + "ĠPhil os", + "ĠL ay", + "Ġcomp os", + "ire ments", + "ĠK os", + "ine z", + "roll ing", + "Ġyoung est", + "and ise", + "ĠB orn", + "Ġalt ar", + "am ina", + "ĠB oot", + "v oc", + "Ġdig ging", + "Ġpress ures", + "Ġl en", + "26 4", + "Ġassass ination", + "ĠBir mingham", + "ĠMy th", + "Ġsovere ign", + "ĠArt ist", + "ĠPhot ograph", + "Ġdep icted", + "Ġdisp ens", + "orth y", + "Ġamb ul", + "int eg", + "ĠC ele", + "ĠTib et", + "Ġhier archy", + "Ġc u", + "Ġpre season", + "ĠPet erson", + "Ġcol ours", + "Ġworry ing", + "Ġback ers", + "ĠPal mer", + "ĠÎ ¼", + "Ġcontribut or", + "Ġhear ings", + "Ġur ine", + "Ġ Ù", + "ourge ois", + "Sim ilar", + "ĠZ immer", + "s omething", + "ĠUS C", + "Ġstrength s", + "ĠF I", + "Ġlog ging", + "As ked", + "ĠTh ai", + "in qu", + "ĠW alt", + "Ġcrew s", + "it ism", + "3 01", + "Ġshar ply", + "um ed", + "Ġred irect", + "r ators", + "In f", + "ĠWe apons", + "Ġte asp", + "19 99", + "L ive", + "ĠEs pecially", + "ĠS ter", + "ĠVeter ans", + "Ġint ro", + "other apy", + "Ġmal ware", + "Ġbre eding", + "Ġmole cular", + "ĠR oute", + "ĠCom ment", + "oc hem", + "Ġa in", + "Se ason", + "Ġlineback er", + "Ä «", + "ĠEconom ics", + "es ar", + "ĠL ives", + "ĠEm ma", + "Ġk in", + "ĠTer rit", + "Ġpl anted", + "ot on", + "ĠBut ter", + "ĠSp ons", + "P ER", + "Ġdun geon", + "Ġsymb olic", + "Ġfil med", + "Ġdi ets", + "Ġconclud es", + "Ġcertain ty", + "ĠForm at", + "Ġstr angers", + "form at", + "ĠPh ase", + "Ġcop ied", + "Ġmet res", + "ld a", + "ĠUs ers", + "Ġdeliber ate", + "Ġwas hed", + "ĠL ance", + "im ation", + "Ġimpro per", + "ĠGen esis", + "ick r", + "ĠK ush", + "Ġreal ise", + "Ġembarrass ing", + "alk ing", + "b ucks", + "Ġver ified", + "Ġout line", + "year s", + "ĠIn come", + "20 2", + "Ġz ombies", + "F inal", + "ĠMill enn", + "Ġmod ifications", + "ĠV ision", + "ĠM oses", + "ver b", + "iter ranean", + "ĠJ et", + "Ġnav al", + "ĠA gg", + "Ġur l", + "Ġvict ories", + "Ġnon etheless", + "Ġinj ust", + "ĠF act", + "ç ļ", + "Ġins ufficient", + "re view", + "face book", + "Ġnegoti ating", + "Ġguarant ees", + "im en", + "uten berg", + "Ġg ambling", + "Ġcon gr", + "Load ing", + "Ġnever theless", + "Ġpres idents", + "ĠIndust rial", + "Ġ11 8", + "Ġp oured", + "ĠT ory", + "Ġ17 5", + "Ġ: =", + "Sc ott", + "ange red", + "T ok", + "Ġorgan izers", + "M at", + "ĠG rowth", + "Ġad ul", + "Ġens ures", + "Ġ11 7", + "é¾į å", + "Ġmass acre", + "Ġgr ades", + "be fore", + "AD VERTISEMENT", + "ĠSl ow", + "ĠM MA", + "âĢĶ \"", + "ĠV atican", + "Q aeda", + "Ġo we", + "66 66", + "ĠS orry", + "ĠGr ass", + "Ġbackground s", + "Ġexha usted", + "Ġcl an", + "Ġcomprom ised", + "ĠE lf", + "ĠIsa ac", + "ens on", + "In vest", + "IF A", + "Ġinterrupt ed", + "ãĥī ãĥ©", + "Ġtw isted", + "ĠDrag ons", + "M ode", + "ĠK remlin", + "Ġfert il", + "he res", + "ph an", + "ĠN ode", + "f ed", + "ĠOr c", + "Ġunw illing", + "C ent", + "Ġprior it", + "Ġgrad uates", + "Ġsubject ive", + "Ġiss uing", + "ĠL t", + "Ġview er", + "Ġw oke", + "Th us", + "bro ok", + "Ġdep ressed", + "Ġbr acket", + "ĠG or", + "ĠFight ing", + "Ġstri ker", + "Rep ort", + "ĠPortug al", + "Ġne o", + "w ed", + "19 9", + "Ġflee ing", + "sh adow", + "ident ified", + "US E", + "Ste am", + "Ġstret ched", + "Ġrevel ations", + "art ed", + "ĠD w", + "Ġalign ment", + "est on", + "ĠJ ared", + "S ep", + "Ġblog s", + "up date", + "g om", + "r isk", + "Ġcl ash", + "ĠH our", + "Ġrun time", + "Ġunw anted", + "Ġsc am", + "Ġr ack", + "Ġen light", + "on est", + "ĠF err", + "Ġconv ictions", + "Ġp iano", + "Ġcirc ulation", + "ĠW elcome", + "Ġback lash", + "ĠW ade", + "Ġrece ivers", + "ot ive", + "J eff", + "Ġnetwork ing", + "ĠPre p", + "ĠExpl orer", + "Ġlect ure", + "Ġupload ed", + "ĠMe at", + "B LE", + "ĠNaz is", + "ĠSy nd", + "st ud", + "ro ots", + "ri ans", + "Ġportray ed", + "Ġ ??", + "ĠBudd ha", + "s un", + "Rober t", + "ĠCom plex", + "Ġover see", + "Ġste alth", + "T itle", + "ĠJ obs", + "ĠK um", + "Ġappreci ation", + "ĠM OD", + "Ġbas ics", + "Ġcl ips", + "Ġnurs ing", + "Ġpropos ition", + "Ġreal ised", + "ĠNY C", + "Ġall ocated", + "ri um", + "ar an", + "ĠPro duction", + "ĠV ote", + "Ġsm ugg", + "Ġhun ter", + "az er", + "ĠCh anges", + "Ġfl uct", + "y on", + "Ar ray", + "Ġk its", + "W ater", + "Ġuncom mon", + "Ġrest ing", + "ell s", + "w ould", + "Ġpurs ued", + "Ġassert ion", + "omet own", + "ĠMos ul", + "ĠPl atform", + "io let", + "Ġshare holders", + "Ġtra ils", + "P ay", + "ĠEn forcement", + "ty pes", + "ĠAn onymous", + "Ġsatisf ying", + "il ogy", + "Ġ( '", + "w ave", + "c ity", + "Ste ve", + "Ġconfront ation", + "ĠE ld", + "C apt", + "ah an", + "ht m", + "ĠC trl", + "ON S", + "2 30", + "if a", + "hold ing", + "Ġdelic ate", + "Ġj aw", + "ĠGo ing", + "or um", + "S al", + "Ġd ull", + "ĠB eth", + "Ġpr isons", + "Ġe go", + "ĠEl sa", + "avor ite", + "ĠG ang", + "ĠN uclear", + "Ġsp ider", + "ats u", + "Ġsam pling", + "Ġabsor bed", + "ĠPh arm", + "iet h", + "Ġbuck et", + "ĠRec omm", + "O F", + "ĠF actory", + "AN CE", + "Ġb acter", + "H as", + "ĠObs erv", + "12 1", + "Ġprem iere", + "De velop", + "Ġcur rencies", + "C ast", + "Ġaccompany ing", + "ĠNash ville", + "Ġfat ty", + "ĠBre nd", + "Ġloc ks", + "Ġcent ered", + "ĠU T", + "augh s", + "or ie", + "ĠAff ordable", + "v ance", + "D L", + "em et", + "Ġthr one", + "ĠBlu etooth", + "Ġn aming", + "if ts", + "AD E", + "Ġcorrect ed", + "Ġprompt ly", + "ĠST R", + "Ġgen ome", + "Ġcop e", + "Ġval ley", + "Ġround ed", + "ĠK end", + "al ion", + "p ers", + "Ġtour ism", + "Ġst ark", + "v l", + "Ġblow ing", + "ĠSche dule", + "st d", + "Ġunh appy", + "Ġlit igation", + "ced es", + "Ġand roid", + "Ġinteg ral", + "ere rs", + "ud ed", + "t ax", + "Ġre iter", + "ĠMot ors", + "oci ated", + "Ġwond ers", + "ĠAp ost", + "uck ing", + "ĠRoose velt", + "f ram", + "Ġyield s", + "Ġconstit utes", + "aw k", + "Int erest", + "Ġinter im", + "Ġbreak through", + "ĠC her", + "Ġpro sec", + "ĠD j", + "ĠM T", + "Res p", + "ĠP T", + "Ġs perm", + "ed it", + "B T", + "Lin ux", + "count ry", + "le ague", + "Ġd ick", + "Ġo ct", + "Ġinsert ing", + "Ġsc ra", + "ĠBrew ing", + "Ġ19 66", + "Ġrun ners", + "Ġpl un", + "id y", + "ĠD ian", + "Ġdys function", + "Ġex clusion", + "Ġdis gr", + "Ġincorpor ate", + "Ġrecon c", + "Ġnom inated", + "ĠAr cher", + "d raw", + "achel or", + "Ġwrit ings", + "Ġshall ow", + "Ġh ast", + "ĠB MW", + "ĠR S", + "Ġth igh", + "Ġ19 63", + "Ġl amb", + "Ġfav ored", + "ag le", + "Ġcool er", + "ĠH ours", + "ĠG U", + "ĠOrig in", + "Ġglim pse", + "---------------- ----", + "L im", + "Ġche ek", + "Ġj ealous", + "- '", + "Ġhar ness", + "ĠPo ison", + "Ġdis abilities", + "ne apolis", + "Ġout look", + "Ġnot ify", + "ĠIndian apolis", + "Ġab rupt", + "ns ic", + "Ġenc rypted", + "Ġfor fe", + "reat h", + "Ġr abb", + "Ġfound ations", + "Ġcompl iment", + "ĠInter view", + "ĠS we", + "Ġad olesc", + "Ġmon itors", + "ĠSacrament o", + "Ġtime ly", + "Ġcontem pl", + "Ġposition ed", + "Ġpost ers", + "ph ies", + "iov ascular", + "v oid", + "ĠFif th", + "Ġinvestig ative", + "OU N", + "Ġinteg rate", + "ĠIN C", + "ish a", + "ibl ings", + "ĠRe quest", + "ĠRodrig uez", + "Ġsl ides", + "ĠD X", + "Ġfemin ism", + "Ġdat as", + "Ġb end", + "ir us", + "ĠNig eria", + "F ox", + "Ch ange", + "Ġair plane", + "ĠLad en", + "Ġpublic ity", + "ixt y", + "Ġcommit ments", + "Ġaggreg ate", + "Ġdisplay ing", + "ĠAr row", + "Ġ12 2", + "Ġrespect s", + "and roid", + "s ix", + "ĠSh a", + "Ġrest oration", + ") \\", + "W S", + "oy s", + "Ġillust rate", + "with out", + "12 6", + "ĠâĶ Ĥ", + "Ġpick up", + "n els", + "Ġ ....", + "f ood", + "ĠF en", + ") ?", + "Ġphenomen a", + "Ġcompan ions", + "ĠW rite", + "Ġsp ill", + "Ġbr idges", + "ĠUp dated", + "ĠF o", + "Ġinsect s", + "ASH INGTON", + "Ġsc are", + "il tr", + "ĠZh ang", + "Ġsever ity", + "Ġind ul", + "14 9", + "ĠCo ffee", + "Ġnorm s", + "Ġp ulse", + "ĠF T", + "Ġhorr ific", + "ĠDest roy", + "ĠJ SON", + "Ġo live", + "Ġdiscuss es", + "R est", + "E lect", + "ĠW inn", + "ĠSurv iv", + "ĠH ait", + "S ure", + "op ed", + "Ġro oted", + "ĠS ke", + "ĠBron ze", + "Ġl ol", + "Def ault", + "Ġcommod ity", + "red ited", + "Ġliber tarian", + "Ġforb idden", + "Ġgr an", + "à ¨", + "Ġl ag", + "en z", + "dri ve", + "Ġmathemat ics", + "Ġw ires", + "Ġcrit ically", + "Ġcarb ohyd", + "ĠChance llor", + "ĠEd die", + "Ġban ning", + "ĠF ri", + "Ġcompl ications", + "et ric", + "ĠBangl adesh", + "Ġband width", + "St op", + "ĠOrig inally", + "Ġhalf way", + "yn asty", + "sh ine", + "Ġt ales", + "rit ies", + "av ier", + "Ġspin ning", + "ĠWH O", + "Ġneighbour hood", + "b ach", + "Ġcommer ce", + "ĠS le", + "B U", + "Ġentreprene ur", + "Ġpecul iar", + "ĠCom ments", + "f re", + "3 20", + "IC S", + "Ġimag ery", + "ĠCan on", + "ĠElect ronic", + "sh ort", + "( (", + "D ig", + "Ġcomm em", + "u ced", + "Ġincl ined", + "ĠSum mon", + "Ġcl iff", + "ĠMed iterranean", + "Ġpo etry", + "Ġprosper ity", + "ĠRe ce", + "Ġp ills", + "m ember", + "Ġfin ale", + "un c", + "ĠG ig", + "ä ½", + "Ġl od", + "Ġback ward", + "- +", + "ĠFor ward", + "Ġth ri", + "s ure", + "Ġso ap", + "ĠF X", + "R ES", + "ĠSe xual", + "oul os", + "Ġfool ish", + "Ġright eous", + "Ġco ff", + "terror ism", + "ust ain", + "ot er", + "Ġab uses", + "ne xt", + "Ġab usive", + "Ġthere after", + "Ġprohib ition", + "ĠS UP", + "Ġd ip", + "Ġr ipped", + "Ġinher ited", + "Ġb ats", + "st ru", + "G T", + "Ġflaw ed", + "ph abet", + "Ġf og", + "do ors", + "Ġim aging", + "Ġdig its", + "ĠHung ary", + "Ġar rog", + "Ġteach ings", + "Ġprotocol s", + "ĠB anks", + "à ¸", + "p ound", + "ĠC urt", + ".\" )", + ". /", + "Ġex emption", + "end ix", + "ĠM ull", + "Ġimpro ves", + "ĠG amer", + "d imensional", + "I con", + "ĠMarg aret", + "St atus", + "d ates", + "Ġint ends", + "Ġdep ict", + "Ġpark ed", + "J oe", + "ĠMar ines", + "chn ology", + "! ).", + "Ġjud ged", + "Ġwe ights", + "R ay", + "Ġapart ments", + "he ster", + "Ġrein force", + "Ġoff ender", + "occ up", + "Ġs ore", + "e pt", + "ĠPH P", + "ĠB row", + "Ġauthor ization", + "ĠR isk", + "ĠDel aware", + "ĠQ U", + "Ġnot ifications", + "Ġsun light", + "Ġex clude", + "d at", + "Ġm esh", + "ĠSud an", + "Ġbelong ed", + "Ġsub way", + "Ġno on", + "ĠInter ior", + "ol ics", + "ĠL akers", + "Ġc oding", + "Dis claimer", + "Cal if", + "O ld", + "Ġdis l", + "???? ?", + "Ġconfir ms", + "Ġrecruit ment", + "Ġhom icide", + "Cons ider", + "ĠJeff rey", + "ft y", + "} ;", + "Ġobject ion", + "do ing", + "ĠLe o", + "W ant", + "Ġgl ow", + "ĠClar ke", + "ĠNorm an", + "Ġver ification", + "Ġpack et", + "ĠForm ula", + "Ġpl ag", + "es ville", + "Ġshout ing", + "Ġo v", + "ĠR EC", + "ĠB ub", + "Ġn inth", + "Ġener g", + "Ġvalid ity", + "Ġup s", + "j ack", + "Ġneighbor ing", + "ĠN ec", + "ew orks", + "ĠH ab", + "are z", + "Ġsp ine", + "Ġevent ual", + "ĠLe aders", + "ĠC arn", + "Ġprob ation", + "Ġrom ance", + "ms g", + "ĠMechan ical", + "ER Y", + "R ock", + "Ġpart isan", + "N ode", + "ass ets", + "min ent", + "Ġforeign ers", + "Ġtest ify", + "ĠUs ually", + "l ords", + "ĠG ren", + "ĠPow ell", + "BI L", + "Ġs r", + "Ġadd ict", + "Ġshell s", + "Ġs igh", + "ĠY ale", + "tern ity", + "Ġ7 50", + "E U", + "ĠR ifle", + "Ġpat ron", + "em a", + "ĠB annon", + "an ity", + "Ġtrop ical", + "ĠV II", + "c ross", + "Every thing", + "ĠIS O", + "Ġhum ble", + "ass ing", + "ĠF IG", + "Ġupd ating", + "ys on", + "Ġcal cium", + "Ġcompet ent", + "Ġste ering", + "Pro t", + "ĠS Y", + "ĠFin als", + "ĠR ug", + "15 9", + "13 7", + "ĠG olf", + "Ġ12 6", + "Ġaccommod ation", + "ĠHug hes", + "Ġaest hetic", + "art isan", + "ĠTw ilight", + "Ġpr ince", + "ĠAgric ulture", + "ĠDis co", + "Ġpreced ent", + "Ġtyp ing", + "author ized", + "O ption", + "ĠA ub", + "l ishes", + "ach t", + "m ag", + "P eter", + "ĠU FO", + "mont on", + "ĠL ith", + "Ġa rom", + "Ġsec uring", + "Ġconf ined", + "priv ate", + "Ġsw ords", + "Ġmark ers", + "Ġmetab olic", + "se lect", + "ĠCur se", + "ĠO t", + "g ressive", + "Ġinc umb", + "ĠS aga", + "Ġpr iced", + "Ġclear ance", + "Cont ent", + "Ġdr illing", + "Ġnot ices", + "Ġb ourgeois", + "Ġv est", + "Ġcook ie", + "ĠGuard ians", + "ry s", + "in yl", + "Ġ12 4", + "Ġpl ausible", + "on gh", + "ĠOd in", + "Ġconcept ion", + "ĠY uk", + "ĠBaghd ad", + "ĠFl ag", + "Aust ral", + "ĠI BM", + "Ġintern ationally", + "ĠWiki Leaks", + "I ED", + "Ġc yn", + "Ġcho oses", + "ĠP ill", + "Ġcomb ining", + "Ġrad i", + "ĠMoh ammed", + "def ense", + "atch ing", + "Sub ject", + "ic iency", + "Fr ame", + "Ġ{ \"", + "Ġche ss", + "Ġtim er", + "19 0", + "Ġt in", + "Ġord inance", + "emet ery", + "Ġacc using", + "Ġnotice able", + "Ġcent res", + "Ġl id", + "ĠM ills", + "img ur", + "Ġz oom", + "erg ic", + "Ġcomp ression", + "pr im", + "f ind", + "Ġsur g", + "Ġp and", + "ĠK ee", + "ĠCh ad", + "cell ence", + "oy le", + "Ġsocial ism", + "ĠT ravis", + "ĠM Hz", + "Ġgu ild", + "ALL Y", + "ĠSub scribe", + "ĠRel ated", + "Ġoccur rence", + "itch ing", + "Ġfict ional", + "Ġcr ush", + "ĠE A", + "c od", + "m ix", + "ĠTri ple", + "Ġretrie ve", + "Ġstimul us", + "Ġpsych iat", + "ĠDo or", + "Ġhomosexual ity", + "Ġelement ary", + "Ġcell ular", + "id ian", + "ĠL aun", + "Ġintrig uing", + "Ġfo am", + "ĠB ass", + "id i", + "its u", + "Ġass ure", + "Ġcongr at", + "Ġbusiness man", + "ĠBo ost", + "cl ose", + "Ġl ied", + "Ġsc iences", + "ĠO mega", + "ĠG raphics", + "Ġ< =", + "sp oken", + "Ġconnect ivity", + "S aturday", + "ĠAven gers", + "Ġto ggle", + "Ġank le", + "Ġnational ist", + "mod el", + "ĠP ool", + "ophob ia", + "V ar", + "ĠM ons", + "ator ies", + "Ġaggress ively", + "C lear", + "For ge", + "act ers", + "Ġhed ge", + "Ġpip es", + "Ġbl unt", + "Ġs q", + "Ġremote ly", + "W ed", + "as ers", + "Ġref riger", + "Ġt iles", + "Ġresc ued", + "Ġcompr ised", + "ins ky", + "Ġman if", + "avan augh", + "Ġprol ifer", + "Ġal igned", + "x ml", + "Ġtri v", + "Ġcoord ination", + "ĠP ER", + "ĠQu ote", + "13 4", + "b f", + "ĠS aw", + "Ġtermin ation", + "Ġ19 0", + "Ġadd itions", + "Ġtri o", + "Ġproject ions", + "Ġpositive ly", + "Ġin clusive", + "Ġmem br", + "19 90", + "old er", + "Ġpract iced", + "ink le", + "Ar ch", + "Ġstar ters", + "ari us", + "Ġinter mediate", + "ĠBen ef", + "ĠK iller", + "Ġinter ventions", + "ĠK il", + "ĠF lying", + "In v", + "Ġprem ature", + "Ġpsych iatric", + "Ġind ie", + "Ġcoll ar", + "ĠRain bow", + "af i", + "Ġdis ruption", + "ĠFO X", + "cast ing", + "Ġmis dem", + "c ro", + "Ġw ipe", + "ard on", + "Ġb ast", + "ĠTom my", + "ĠRepresent ative", + "Ġbell y", + "ĠP O", + "ĠBre itbart", + "13 2", + "Ġmess aging", + "Sh ould", + "Ref erences", + "ĠG RE", + "ist ical", + "L P", + "ĠC av", + "ĠC razy", + "Ġintu itive", + "ke eping", + "ĠM oss", + "Ġdiscont in", + "ĠMod ule", + "Ġun related", + "ĠPract ice", + "ĠTrans port", + "Ġstatist ically", + "orn s", + "Ġs ized", + "p u", + "Ġca f", + "ĠWorld s", + "ĠRod gers", + "ĠL un", + "ĠCom ic", + "l iving", + "Ġc ared", + "Ġclim bed", + ") {", + "Ġconsist ed", + "Ġmed ieval", + "fol k", + "Ġh acked", + "Ġd ire", + "ĠHerm ione", + "Ġt ended", + "ce ans", + "D aniel", + "w ent", + "Ġlegisl ators", + "Ġred es", + "g ames", + "Ġg n", + "am iliar", + "Ġ+ +", + "gg y", + "th reat", + "Ġmag net", + "Ġper ceive", + "Ġz ip", + "Ġindict ment", + "Ġcrit ique", + "g ard", + "ĠSaf e", + "ĠC ream", + "Ġad vent", + "ob a", + "Ġv owed", + "ous ands", + "Ġsk i", + "Ġabort ions", + "u art", + "Ġstun ned", + "Ġadv ancing", + "Ġlack ed", + "Ġ\\ \"", + "Ġsch izophren", + "Ġeleg ant", + "Ġconf erences", + "Ġcance led", + "ĠHud son", + "ĠHop efully", + "Ġtr ump", + "Ġfrequ encies", + "Ġmet eor", + "ĠJun ior", + "ĠFle et", + "ĠMal colm", + "ĠT ools", + "Ġ ........", + "Ġh obby", + "ĠEurope ans", + "Ġ15 00", + "ĠInt o", + "Ġs way", + "ĠApp ro", + "ĠCom pl", + "Comm unity", + "Ġt ide", + "ĠSum mit", + "ä »", + "Ġinter vals", + "ĠE ther", + "Ġhabit at", + "ĠSteven s", + "lish ing", + "ĠDom ain", + "Ġtrig gers", + "Ġch asing", + "Ġchar m", + "ĠFl ower", + "it ored", + "Ġbless ing", + "Ġtext ures", + "F ive", + "Ġliqu or", + "R P", + "F IN", + "Ġ19 62", + "C AR", + "Un known", + "Ġres il", + "ĠL ily", + "Ġabund ance", + "Ġpredict able", + "r ar", + "Ġbull shit", + "le en", + "che t", + "M or", + "M uch", + "ä ¹", + "Ġemphas ized", + "Ġcr ust", + "Ġprim itive", + "Ġenjoy able", + "ĠPict ures", + "Ġteam mate", + "pl er", + "ĠT ol", + "ĠK ane", + "Ġsummon ed", + "th y", + "ram a", + "ĠH onda", + "Ġreal izing", + "Ġquick er", + "Ġconcent rate", + "cle ar", + "Ġ2 10", + "ĠErd ogan", + "ar is", + "Ġrespond s", + "ĠB I", + "Ġelig ibility", + "Ġpus hes", + "ĠId aho", + "Ġagg rav", + "Ġru ins", + "ur ations", + "Ġb ans", + "Ġan at", + "sh are", + "Ġgr ind", + "h in", + "um en", + "Ġut ilities", + "ĠYan kees", + "Ġdat abases", + "ĠD D", + "Ġdispl aced", + "Ġdepend encies", + "Ġstim ulation", + "h un", + "h ouses", + "ĠP retty", + "ĠRaven s", + "ĠTOD AY", + "Ġassoci ates", + "Ġthe rape", + "cl ed", + "Ġde er", + "Ġrep airs", + "rent ice", + "Ġrecept ors", + "Ġrem ed", + "ĠC e", + "Ġmar riages", + "Ġball ots", + "ĠSold ier", + "Ġhilar ious", + "op l", + "13 8", + "Ġinherent ly", + "Ġignor ant", + "Ġb ounce", + "ĠE aster", + "REL ATED", + "ĠCur rency", + "E V", + "ãĥ ŀ", + "ĠLe ad", + "Ġdece ased", + "B rien", + "ĠMus k", + "J S", + "Ġmer ge", + "heart ed", + "c reat", + "m itt", + "m und", + "ĠâĢ ĭ", + "ĠB ag", + "Ġproject ion", + "Ġj ava", + "ĠStand ards", + "ĠLeon ard", + "Ġcoc onut", + "ĠPop ulation", + "Ġtra ject", + "Ġimp ly", + "Ġcur iosity", + "ĠD B", + "ĠF resh", + "ĠP or", + "Ġheav ier", + "ne ys", + "gom ery", + "Ġdes erved", + "Ġphr ases", + "ĠG C", + "Ġye ast", + "d esc", + "De ath", + "Ġreb oot", + "Ġmet adata", + "IC AL", + "Ġrep ay", + "ĠInd ependence", + "Ġsubur ban", + "ical s", + "Ġat op", + "Ġall ocation", + "gener ation", + "ĠG ram", + "Ġmoist ure", + "Ġp ine", + "ĠLiber als", + "Ġa ides", + "Ġund erest", + "ĠBer ry", + "Ġcere mon", + "3 70", + "ast rous", + "ĠPir ates", + "Ġt ense", + "ĠIndust ries", + "ĠApp eals", + "ĠN ear", + "Ġè£ı ç", + "Ġlo vers", + "ĠC AP", + "ĠC raw", + "Ġg iants", + "Ġeffic acy", + "E lement", + "ĠBeh avior", + "ĠToy ota", + "Ġint est", + "P riv", + "A I", + "Ġmaneu ver", + "Ġperfect ion", + "Ġb ang", + "p aper", + "r ill", + "Ge orge", + "b order", + "in ters", + "ĠS eth", + "Ġcl ues", + "ĠLe vi", + "ĠRe venue", + "14 7", + "Ġv apor", + "Ġfortun ate", + "Ġthreat ens", + "Ġve t", + "Ġdepend ency", + "ers ed", + "art icle", + "ĠBl izzard", + "Ġch lor", + "Ġmin us", + "ĠB ills", + "Ġcryptoc urrency", + "Ġmetabol ism", + "ter ing", + "Ġp estic", + "step s", + "ĠTre asure", + "ract ed", + "ĠConst ant", + "Ġtem p", + "13 9", + "ĠDet ective", + "ur ally", + "Ġrecover ing", + "Ġcort ex", + "Ġ14 4", + "cl osed", + "Ġprejud ice", + "aun ted", + "Ġstorm s", + "ĠN OW", + "Ġmach inery", + "Add ress", + "Ġcompe lled", + "27 0", + "Ġdesp air", + "b ane", + "Ġveget able", + "Ġbed s", + "Lear n", + "Ġcolor ful", + "Ġsp ike", + "Ġmarg ins", + "Ġsymp athy", + "Ġworks hop", + "ĠC BC", + "S at", + "Ġburn s", + "ĠG ender", + "Ġ12 9", + "ĠC able", + "Ġdeb ts", + "ĠThe resa", + "Ġreflect ing", + "Ġa irst", + "Ġr im", + "ram id", + "Ġweakness es", + "W rit", + "ogg le", + "t i", + "ĠCh arge", + "Ġwe ighed", + "Ġ( .", + "Ġl aughter", + "Ġrou ter", + "ĠDemocr acy", + "D ear", + "Ġhas ht", + "Ġd y", + "Ġhint s", + "run ning", + "Ġfin ishes", + "ar us", + "M ass", + "res ult", + "asc us", + "Ġv intage", + "Ġcon qu", + "Ġwild ly", + "ac ist", + "Ġl ingu", + "Ġprot agonist", + "st rom", + "te enth", + "ĠSol o", + "m ac", + "f illed", + "Ġre nown", + "it ives", + "Ġmot ive", + "ĠAnt ar", + "ĠM ann", + "ĠAd just", + "Ġrock ets", + "Ġtrou bling", + "e i", + "Ġorgan isms", + "ass is", + "Christ ian", + "Ġ14 5", + "ĠH ass", + "Ġsw all", + "Ġw ax", + "ĠSurv ival", + "V S", + "ĠM urd", + "v d", + "stand ard", + "Ġdrag ons", + "Ġacceler ation", + "r ational", + "f inal", + "Ġp aired", + "ĠE thereum", + "Ġinterf aces", + "Ġres ent", + "Ġartif acts", + "Å «", + "are l", + "Ġcompet itor", + "ĠNich olas", + "ĠSur face", + "c pp", + "ĠT ot", + "Ġeconom ically", + "Ġorgan ised", + "Ġen forced", + "in ho", + "Ġvar ieties", + "Ġab dom", + "ĠBa iley", + "id av", + "ĠSal v", + "p aid", + "Ġalt itude", + "ess ert", + "ĠG utenberg", + "are a", + "op oulos", + "Ġprofess ors", + "igg s", + "ĠF ate", + "he y", + "Ġ3 000", + "D ist", + "Ġtw ins", + "c ill", + "ĠM aps", + "Ġtra ps", + "Ġwe ed", + "ĠK iss", + "Ġy oga", + "Ġrecip ients", + "ĠWest minster", + "Ġpool s", + "ĠWal mart", + "18 8", + "ĠSchool s", + "att ack", + "ĠAR M", + "par agraph", + "W arning", + "j l", + "Ġself ish", + "anche z", + "ĠHe ights", + "F re", + "ĠS oph", + "Ġ --------------------------------", + "t ml", + "33 3", + "Ġraid s", + "Ġsatell ites", + "KE Y", + "Ġlast s", + "Ñ Ĥ", + "In s", + "ĠD ame", + "Ġunp redict", + "// /", + "gh ai", + "Ġart illery", + "Ġcru ise", + "Ġg el", + "ĠCabin et", + "Ġbl ows", + "ĠE sp", + "Ġprox imity", + "ot he", + "ĠSk ills", + "ĠU pper", + "ob o", + "ĠN DP", + "Ġenjoy s", + "Ġrepe ating", + "ĠConst ruction", + "ĠQuest ions", + "H illary", + "Ġu int", + "Ġprocess ors", + "ĠGib son", + "ĠMult iple", + "q a", + "ĠB om", + "ĠM iles", + "vent ional", + "Ġhur ts", + "s kin", + "ĠA IDS", + "Ġadvis ers", + "ĠR oot", + "Ġmethod ology", + "ĠD ale", + "Ġdet on", + "ĠKnow ledge", + "sequ ently", + "Ġ12 1", + "Ġconnect s", + "C y", + "ĠD anger", + "Ġcontribut ors", + "ĠB ent", + "Ġbr ass", + "ĠGun s", + "int o", + "ĠFort une", + "Ġbro ker", + "bal ance", + "Ġlength s", + "Ġv ic", + "Ġaver aging", + "Ġappropri ately", + "ĠCamer a", + "Ġsand wich", + "ĠCD C", + "Ġcoord inate", + "Ġnav ig", + "Ġgood ness", + "l aim", + "Ġbra ke", + "Ġextrem ist", + "ĠW ake", + "ĠM end", + "ĠT iny", + "ĠC OL", + "ĠR F", + "ĠD ual", + "ĠW ine", + "C ase", + "Ġref ined", + "Ġl amp", + "L ead", + "Ġb apt", + "ĠCar b", + "ĠS add", + "ĠMin neapolis", + "PD F", + "Ear ly", + "ĠH idden", + "I ts", + "ĠT IME", + "Ġp ap", + "Ġcommission ed", + "ĠF ew", + "ĠCol ts", + "ĠB ren", + "Ġbot hered", + "Ġlike wise", + "Ex per", + "ĠSch w", + "c ry", + "n n", + "ĠM itch", + "im on", + "M G", + "b m", + "UM P", + "r ays", + "Ġregist ry", + "Ġ2 70", + "ach ine", + "re lla", + "ant ing", + "00 000", + "Ġru ined", + "sp ot", + "Ġt a", + "Ġmaxim ize", + "Ġincon ven", + "D ead", + "H uman", + "En abled", + "ĠMar ie", + "Ġch ill", + "ĠParad ise", + "Ġstar ring", + "ĠLat ino", + "ĠProt ocol", + "ĠE VER", + "Ġsuppl iers", + "m essage", + "ĠBro ck", + "Ġser um", + "âĸĪâĸĪ âĸĪâĸĪ", + "Ġen comp", + "Ġamb ition", + "ues e", + "Ġar rows", + "And rew", + "Ġanten na", + "Ġ19 61", + "ĠB ark", + "Ġb ool", + "ãĤ ª", + "ĠSt orage", + "Ġrail way", + "Ġtoug her", + "ĠC ad", + "Ġwas hing", + "P y", + "' ]", + "em bed", + "ĠMem phis", + "ack le", + "Ġfam ously", + "ĠF ortunately", + "ov ies", + "Ġmind set", + "Ġsne ak", + "ĠD h", + "RA W", + "ĠSim pson", + "Ġliv est", + "Ġland mark", + "Ġc ement", + "L ow", + "Ġthr illed", + "ĠCour se", + "in el", + "Ġch uck", + "id ate", + "gl obal", + "Ġwh it", + "Ġ �", + "ad ays", + "s ki", + "ĠS V", + "Ġvir uses", + "30 6", + "ĠResp ons", + "Ġthe aters", + "ĠBr anch", + "ĠGene va", + "ĠM K", + "Ġunbel iev", + "Ġcommun ist", + "Orig inal", + "ĠRe ceived", + "ĠTrans fer", + "ĠAr g", + "In put", + "ĠStr ategy", + "Ġpal ace", + "the ning", + "D ri", + "Ġsent encing", + "umbn ail", + "Ġp ins", + "re cy", + "Ġs iblings", + "Get ting", + "ĠB U", + "ĠNorth west", + "Ġprolong ed", + "ĠSak ura", + "C omb", + "ĠB our", + "Ġinadequ ate", + "ĠK ash", + "Ġus ername", + "ĠImpro ve", + "Ġbatt ling", + "ĠM AC", + "Ġcurric ulum", + "Ġs oda", + "ĠC annon", + "Ġsens ible", + "sp ons", + "De cember", + "Ġw icked", + "ĠP engu", + "Ġdict ators", + "ĠHe arts", + "og yn", + "Ġsimilar ities", + "ĠSt ats", + "Ġh ollow", + "it ations", + "\": [", + "Ġh over", + "ĠList en", + "s ch", + "S und", + "Ġc ad", + "ĠPar ks", + "Ġl ur", + "Ġhy pe", + "ĠL em", + "N AME", + "is ure", + "Fr iday", + "Ġshoot s", + "Ġclos es", + "Ġd b", + "ĠR idge", + "ĠDiff erent", + "Ġrepl ies", + "ĠBroad way", + "op ers", + "Ġint oler", + "ĠZe us", + "akes pe", + "Ġpropri etary", + "Ġrequest ing", + "Ġcontro llers", + "ĠM IN", + "im edia", + "be cca", + "Ġexp ans", + "Ġoil s", + "B ot", + "ĠCh and", + "Ġpr inter", + "Ġto pped", + "ĠP OL", + "ĠEar lier", + "S ocial", + "av in", + "Ġdecre ases", + "ĠSe b", + "Ġspecific ations", + "ĠBl ast", + "ĠK urt", + "Ġfre el", + "B rown", + "Ġdil ig", + "ro e", + "ĠPro blem", + "ĠQu ad", + "Ġdecent ral", + "ĠV ector", + "an ut", + "Ġplug ins", + "ĠGreg ory", + "Ġfuck ed", + "el ines", + "ĠAmb assador", + "t ake", + "Ġcle ans", + "ong yang", + "An onymous", + "st ro", + "\" }", + "al ine", + "ĠO dd", + "ĠE ug", + "2 16", + "Ġbo il", + "ĠP owers", + "Ġnurs es", + "Ob viously", + "ĠTechn ical", + "Ġexceed ed", + "OR S", + "Ġextrem ists", + "Ġtr aces", + "ex pl", + "Ġcom r", + "ĠS ach", + ") /", + "Ġm asks", + "Ġsc i", + "B on", + "Ġreg ression", + "we gian", + "Ġadvis or", + "it ures", + "ĠV o", + "ex ample", + "ĠInst ruct", + "Ġs iege", + "Ġredu ctions", + "pt r", + "Ġstat utory", + "Ġrem oves", + "Ġp uck", + "red its", + "Ġbe e", + "Ġsal ad", + "Ġpromot ions", + "ĠJosh ua", + "with standing", + "ET H", + "ĠCh a", + "im us", + "Ġexpend iture", + "aun ting", + "Ġdelight ed", + "Ġ15 5", + "be h", + "Ġcar pet", + "ĠSp art", + "Ġj ungle", + "l ists", + "Ġbull ying", + "ĠNob el", + "ĠGl en", + "Ġreferen ced", + "Ġintrodu ces", + "se in", + "Ġcho pped", + "gl ass", + "ĠW rest", + "Ġneutral ity", + "Ġâ Ļ", + "Ġinvestig ator", + "Ġshel ves", + "Ġun constitutional", + "Ġreprodu ction", + "Ġmer chant", + "m ia", + "Ġmet rics", + "Ġexplos ives", + "ĠSon ia", + "Ġbod ily", + "Ġthick ness", + "Ġpredomin antly", + "ĠAb ility", + "Ġmon itored", + "IC H", + "Ġ] .", + "ĠMart inez", + "Ġvis ibility", + "Ġqu eries", + "Ġgen ocide", + "ĠWar fare", + "Qu ery", + "Ġstud ios", + "Ġemb ry", + "Ġcorrid or", + "Ġclean ed", + "com plete", + "ĠM H", + "Ġenroll ment", + "ING S", + "Ġimpact ed", + "Ġdis astrous", + "ĠY un", + "ĠCl aire", + "ĠBas ically", + "y t", + "uster ity", + "Ġindirect ly", + "w ik", + "Ġd od", + "ĠCar r", + "Ġam p", + "Ġprohib it", + "ĠIn itial", + "ĠR d", + "ij i", + "Ġeduc ate", + "c orn", + "i ott", + "ĠBeaut y", + "Ġdetect ive", + "ĠCon n", + "s ince", + "Ġst agger", + "Ġob ese", + "Ġb ree", + "olog ic", + "is se", + "walk er", + "Ġbl ades", + "Ġlaw ful", + "fun c", + "ĠBeh ind", + "Ġappet ite", + "Ġ( *", + "Ġt ennis", + "Ġoff spring", + "Ġj ets", + "Ġstruct ured", + "Ġafore mentioned", + "N ov", + "Ġsc aling", + "f ill", + "Ġst ew", + "Ġcur b", + "ĠStep han", + "ed In", + "S F", + "ob ic", + "é ŃĶ", + "ou g", + "ĠM M", + "Ġgen etically", + "ope z", + "13 6", + "Ġu mb", + "anc ers", + "Ġcoh ort", + "Ġmerch andise", + "Ġimp osing", + "ĠLegisl ature", + "ĠArch ive", + "iv ia", + "ĠN aval", + "Ġoff ences", + "Ġmir acle", + "Ġsn apped", + "Ġf oes", + "Ġextensive ly", + "ĠR af", + "Ġc ater", + "ed ience", + "K it", + "ĠB in", + "Ġrecomm ends", + "ĠC ities", + "Ġrig id", + "ĠRE AD", + "ĠNob le", + "ĠT ian", + "Ġcertific ates", + "ant is", + "o iler", + "ĠBudd hist", + "d id", + "Ġsurvey ed", + "Ġdown ward", + "Ġprint s", + "ĠMot ion", + "ron ics", + "ĠS ans", + "oss ibly", + "u ctions", + "Ġcolon ies", + "ĠDan ish", + "un it", + "Ġsp oil", + "Ġadvis ory", + "ber ries", + "Pl an", + "Ġspecific ation", + "op hers", + "ĠRes ource", + "Ġsh irts", + "prising ly", + "commun ications", + "Ġtriv ial", + "Ġmention ing", + "ise xual", + "Ġsupp lements", + "Ġsuper vision", + "B P", + "v or", + "Ġw it", + "Ġco oldown", + "Ġplaint iff", + "ĠReview s", + "ĠS ri", + "ĠM int", + "ĠSug ar", + "Ġafter ward", + "ĠPri est", + "ĠInvest ment", + "og ene", + "ĠT aking", + "Ġstretch ing", + "Ġinflamm ation", + "ĠTe hran", + "Ġl ining", + "Ġfree zing", + "ĠEnt ity", + "Ġins piring", + "spe cial", + "pr ice", + "Ġsu e", + "ĠP orter", + "oun ge", + "ET A", + "ĠD erek", + "ĠLu is", + "u o", + "ym ph", + "Ġex terior", + "ih il", + "ĠAsh ley", + "in ator", + "Ġnut rients", + "ĠTh rones", + "Ġfin ances", + "ĠIn spect", + "Ġspe cially", + "ĠRequ ired", + "ĠP TS", + "ĠViol ence", + "oint ed", + "sh ots", + "Ġex cerpt", + "co on", + "IN S", + "ĠG ri", + "Ġrecogn ised", + "We ek", + "You ng", + "Ġv om", + "is le", + "ĠCur ry", + "ĠBudd h", + "Ġnot ebook", + "Ġd urable", + "/ ?", + "ĠG ad", + "ĠP upp", + "Ġforg ive", + "p ark", + "Ġpersonal ities", + "an alysis", + "cl amation", + "Ġelev ator", + "Ġware house", + "ĠR ole", + "un n", + "Ġillust ration", + "ĠSc an", + "Ġatmosp heric", + "Im port", + "AN C", + "rict ed", + "f u", + "01 0", + "Ġar che", + "Ġreward ed", + "akespe are", + "Ġintern ally", + "ĠR BI", + "alk er", + "Ġeleph ant", + "ow itz", + "ĠP izza", + "Ġbip artisan", + "é s", + "Ġslow ed", + "ĠSt ark", + "Ġover ride", + "OU S", + "Ġ3 20", + "undred s", + "ĠDe ck", + "ĠC ensus", + "be e", + "14 6", + "ot or", + "Ġ ip", + "Ġu b", + "oc ations", + "ĠBut ton", + "r ice", + "Ġc ripp", + "ff f", + "Ġorig inated", + "Ġoverwhel med", + "app a", + "Ġfore most", + "âĢ ij", + "ĠL EG", + "re lease", + "eat ured", + "at ches", + "Ġre ps", + "Ġl ending", + "ĠRe ference", + "ĠCl ient", + "16 5", + "vent h", + "Com plete", + "ĠPat rol", + "Ġsw orn", + "c am", + "Ġshut tle", + "ĠR alph", + "Ġh ometown", + "- ,", + "on al", + "ĠB P", + "å ı", + "Ġpersu ade", + "ĠAlex and", + "Ġcomb ines", + "Ġv ivid", + "ĠL ag", + "Ġenc oding", + "Ġsal vation", + "w en", + "ĠRec overy", + "i ya", + "Un iversity", + "ĠB iden", + "Ġbud gets", + "ĠTex ans", + "f its", + "Ġhon ored", + "Ġp ython", + "T D", + "## #", + "cl one", + "Ġbl ink", + "ĠL iquid", + "Ġunemploy ed", + "Ġcl ashes", + "ĠCoun sel", + "Ġdirect ing", + "Ġpun ct", + "ĠFal cons", + "Ġsh ark", + "ĠDam ascus", + "Ġje ans", + "Ġemb ark", + "Ġse ize", + "Ġup wards", + "2 80", + "ĠE z", + "ĠAny thing", + "Ġex otic", + "l ower", + "ĠCreat or", + "ĠU m", + "Ġsubur bs", + "ber ger", + "ĠW end", + "Ġm int", + "ĠX X", + "ĠD ro", + "Ġsuff ers", + "Ġher b", + "t ree", + "Ġfrag ile", + "Ġflood ed", + "ĠAl cohol", + "ole an", + "ny der", + "ĠK O", + "F ram", + "Ġ13 6", + "Ġow ed", + "ĠMe lee", + "ĠH ash", + "Ġwh isk", + "Ġsu do", + "r r", + "Qu ick", + "app ro", + "Ġi i", + "ĠEx amples", + "he e", + "Ġpromot es", + "per ature", + "k ar", + "ĠHon or", + "Ġs odium", + "ĠL if", + "ros so", + "intend ent", + "Ġcorrespond ent", + "F ound", + "sec ret", + "Ġident ifies", + "ag ne", + "Ġl ou", + "ĠP P", + "Ġcoinc idence", + "m ove", + "Ġmilit ia", + "Ġinf iltr", + "ĠPrim ary", + "Ġpitch ing", + "ĠI b", + "ĠGO OD", + "ãĤ ¸", + "ĠW izards", + "ir al", + "ĠVen us", + "R R", + "ĠâĢ ķ", + "ĠCase y", + "Ġsad ly", + "Ġadm ire", + "Ġembarrass ed", + "c b", + "M el", + "Ġtub es", + "Ġbeaut ifully", + "ĠQueens land", + "Bel ow", + "re z", + "qu et", + "ple asant", + "Ġ «", + "C amp", + "Ġdec isive", + "19 98", + "ĠL amb", + "ut ton", + "h n", + "ĠJ agu", + "au nder", + "ĠC ord", + "Ġcl erk", + "Ġca ffe", + "Ġwip ed", + "Ġre im", + "ĠMount ains", + "Ġimprison ed", + "Ġdevelop s", + "ĠP ra", + "Ġmodel ing", + "Any one", + "ance l", + "ĠS it", + "Ġshield s", + "Ġl awn", + "Ġcard iovascular", + "Ġdemonstr ating", + "Ġpar se", + "ĠIsrael is", + "Ġeuro s", + "14 3", + "Ġgl orious", + "ins ki", + "ec d", + "Ġcondition ing", + "Ġhel pless", + "Ġmicro sc", + "ĠHar bor", + "Ġst akes", + "Ġ2 60", + "Ġun equ", + "ĠFl oyd", + "Ġd amp", + "Ġappar atus", + "ĠLaw s", + "Ġcoun ters", + "Ġindu ce", + "at able", + "ĠAh med", + "Ġsl am", + "N ovember", + "Ġpers ist", + "Ġim minent", + "á n", + "Ġsh red", + "Ġph ases", + "ĠEd monton", + "ĠArm strong", + "ĠMe et", + "ĠK itty", + "Ñ Ģ", + "c irc", + "ĠAd ult", + "Ġa rose", + "ĠX en", + "D an", + "g ow", + "Ġsuper f", + "ĠAd mir", + "Ġend ure", + "Ġkey word", + "yr us", + "Ġy arn", + "Ġpath way", + "ĠHop kins", + "mid t", + "Ġcens orship", + "d ependent", + "Ġinstruct or", + "S ources", + "Ġto e", + "Ġball oon", + "N ob", + "Ġsw ear", + "ĠCast ro", + "Ġgl oss", + "ĠK avanaugh", + "Ġremark ably", + "Ph otos", + "ĠN om", + "ĠS outheast", + "y ers", + "Ġvalid ation", + "Ġcann on", + "ĠVict ory", + "ĠPier re", + "Ġcaut ious", + "Aud io", + "Ġf etch", + "ĠG ift", + "ĠH yp", + "Ġrem edy", + "Z E", + "Ġsc ent", + "Ġbe ard", + "ĠR ut", + "- \"", + "Ġpat ents", + "H y", + "Ġun just", + "Ġpot ato", + "Ġforth coming", + "Ġche f", + "ĠR ift", + "aff e", + "ĠR OM", + "ĠL aunch", + "Ġp ads", + "ĠNe o", + "Ġon set", + "Ġsquee ze", + "s afe", + "Ġpref ix", + "ĠT M", + "ĠN early", + "ĠClin ical", + "ĠM ental", + "ot iation", + "ĠUn ic", + "ant ry", + "ĠC ir", + "Ġep it", + "à ¦", + "Ġextract ed", + "verse ly", + "ri ad", + "Ġstr ains", + "Ġto ps", + "Ġpo em", + "ĠRand y", + "ĠMap le", + "TH ER", + "up iter", + "ĠSS D", + "ļ é", + "Ġun con", + "per ing", + "Ġsle pt", + "in ers", + "Ġunder water", + "ĠEv idence", + "g one", + "20 5", + "Ġhistor ians", + "Ġsynt hesis", + "Ġf rog", + "b asketball", + "Ġvibr ant", + "Ġsub ord", + "Ġ3 65", + "ĠD ial", + "Ġcooper ate", + "HA HA", + "Ġgreet ed", + "15 8", + "Ġj azz", + "Ġinto x", + "ĠWalk ing", + "Ġsuper visor", + "ĠF usion", + "ĠMer cedes", + "s end", + "H am", + "s d", + "n l", + "Ġtour s", + "ĠF IFA", + "Ġcul p", + "g d", + "30 4", + "Ġple as", + "Ġillust rates", + "ĠColomb ia", + "Ġhighlight ing", + "ĠSum mary", + "Ġexp osing", + "ĠD ru", + "Ġir ony", + "r itional", + "ĠCar roll", + "ĠEll is", + "P ict", + "ĠR apt", + "Ġad apter", + "Ġun m", + "Ġcor pse", + "Ġceleb rities", + "D en", + "at um", + "ĠAp ocalypse", + "ĠW ag", + "lin ing", + "Ġhorm ones", + "R ub", + "ĠX i", + "ĠV aults", + "20 8", + "alky rie", + "inos aur", + "Ġfeed s", + "v ity", + "Ġdefe ating", + "W ait", + "Ġemphas ize", + "ĠSteel ers", + "yr inth", + "le ys", + "ĠWhe never", + "Current ly", + "ĠCl ock", + "Ġcollect ively", + "any on", + "ĠJ P", + "Ġment ality", + "Ġdownload s", + "Ġsurround ings", + "ĠBarn es", + "Ġflags hip", + "Ġindic ators", + "Ġgra pp", + "Jan uary", + "ĠElement al", + "ĠAthen a", + "ib al", + "Ġs ights", + "Ġcap ita", + "ĠTreat y", + "Ġvo iced", + "ĠG az", + "let te", + "Ġy a", + "Ġexp ired", + "Leg end", + "H ot", + "n ature", + "Ġunst able", + "Ġ2 80", + "à º", + "Com ment", + "AL E", + "Ġquest s", + "Ġhand ler", + "n is", + "Ġvers atile", + "Ġconce al", + "enge ance", + "ĠInter active", + "Ġobs essed", + "ĠDog s", + "Ġcr acked", + "S ound", + "s v", + "ĠD ylan", + "ro ads", + "f x", + "ĠCath olics", + "ĠH ag", + "Ġsl ammed", + "Ġgl owing", + "s ale", + "Ġtiss ues", + "ĠCh i", + "ne e", + "Ġc her", + "s ic", + "ur rection", + "Ġb acon", + "ul atory", + ") .\"", + "Ġir regular", + "FOR M", + "ass ed", + "Ġintention al", + "Ġcompens ate", + "ĠSpe aking", + "ĠS ets", + "15 3", + "Ġconvent ions", + "b ands", + "em ade", + "Ġe cc", + "ĠWin ston", + "ĠAssass in", + "ĠBelg ian", + "Ġdepend ence", + "Ġnic he", + "Ġb ark", + "ĠJ azz", + "Ġdisadvant age", + "Ġgas oline", + "Ġ16 5", + "çļ Ħ", + "ess a", + "mod ule", + "ang ular", + "O Y", + "ĠTreat ment", + "it as", + "ol ation", + "ĠArn old", + "Ġfe ud", + "ĠN est", + "Ġthe atre", + "ew ater", + "Ġmin ors", + "olic y", + "ĠH aven", + "div ision", + "Ġtr unk", + "F ar", + "ĠP ull", + "Ġcapt uring", + "Ġ18 00", + "ĠTe en", + "Ġex empl", + "Ġclin ics", + "ĠB urg", + "Ġsubst it", + "Ġpay load", + "ĠL av", + "ĠT roy", + "ĠW itness", + "Ġfrag ments", + "Ġpass words", + "Ġg ospel", + "ĠG in", + "Ġten ants", + "ol ith", + "S ix", + "Pre vious", + "ĠAg es", + "ĠDar win", + "Ġbl at", + "Ġem pathy", + "sm ith", + "b ag", + "ĠE cho", + "ĠC amb", + "ĠM add", + "ĠB oo", + "Ġred e", + "ĠBurn ing", + "Ġsmooth ly", + "ĠAd rian", + "ĠV ampire", + "ĠMon sters", + "ste am", + "Sty le", + "M a", + "re a", + "ĠD war", + "aly st", + "urs or", + "Ġelim ination", + "Ġcrypt o", + "ch t", + "ĠE ternal", + "âĢ¦ ]", + "ĠS orce", + "I ll", + "N ER", + "Ġu h", + "Con clusion", + "w age", + "Ġresp ir", + "Ġrem inis", + "het ical", + "Ġg y", + "Ġutil ized", + "ic idal", + "Ġ19 00", + "Ġhun ters", + "ĠSw an", + "ĠRe act", + "Ġvis itor", + "ĠThanks giving", + "30 8", + "Post s", + "Ġh ips", + "19 97", + "om ers", + "Ġkn ocking", + "ĠVeh icle", + "Ġt il", + "Ġ13 8", + "Ġm i", + "ĠInvest igation", + "ĠKen ya", + "Ġcas ino", + "Ġmot ives", + "Ġreg ain", + "re x", + "Ġweek ends", + "Ġstab bed", + "bor o", + "Ġexplo ited", + "ĠHA VE", + "ĠTe levision", + "c ock", + "Ġprepar ations", + "Ġende av", + "ĠRem ote", + "ĠM aker", + "ĠPro du", + "ĠEv an", + "Ġinform ational", + "ĠLouis ville", + "15 4", + "ĠDream s", + "Ġpl ots", + "ĠRun ner", + "Ġhur ting", + "Ġacad emy", + "ĠMont gomery", + "n m", + "ĠL anc", + "ĠAl z", + "2 10", + "el ong", + "Ġretail er", + "Ġar ising", + "Ġrebell ion", + "Ġbl onde", + "play ed", + "Ġinstrument al", + "C ross", + "Ġret ention", + "Ġtherape utic", + "Ġse as", + "Ġinfant ry", + "ĠCl int", + "Ġprompt ing", + "Ġbit ch", + "Ġst ems", + "ĠK ra", + "Ġthe sis", + "ĠB og", + "ru ed", + "Ġk ings", + "Ġcl ay", + "ific ent", + "ĠY ES", + "ĠTh ing", + "ĠCub s", + "vey ard", + "els h", + "in arily", + "ĠE y", + "ĠRoll ing", + "Ġev olving", + "Ind ia", + "Ġrecogn izes", + "Ġgrad uation", + "is ers", + "Ġfert ility", + "ĠMil an", + "Comm and", + "Ġbox ing", + "Ġ19 43", + "Ġgl uten", + "ĠEm ir", + "Ġid ol", + "Ġcon ceived", + "ĠCre ation", + "Mer it", + "udd y", + "uss ions", + "ĠLie utenant", + "iet al", + "Ġunch anged", + "ĠSc ale", + "ĠCrime a", + "ball s", + "ator ial", + "Ġdepth s", + "Ġempir ical", + "Ġtrans m", + "Ġuns afe", + "miss ible", + "com fort", + "15 6", + "Ġmechan ic", + "00 2", + "l ins", + "Ġsm oked", + "P os", + "Ġslow ing", + "Ġl av", + "Tex as", + "Ġche ating", + "ĠMet ropolitan", + "eth yl", + "Ġdiscover ing", + "as se", + "Ġpen cil", + "ĠPy ongyang", + "Ġclos et", + "ĠShe et", + "ĠEnt ry", + "ou stic", + "Ġmy st", + "er ate", + "ari at", + "Ġminer als", + "Ġmusic ian", + "ĠP ul", + "ĠM az", + "24 9", + "Ġper missions", + "Ġ iv", + "en ary", + "ick ers", + "ĠB ing", + "he a", + "en able", + "Ġgri ev", + "Ġassert ed", + "ĠColon el", + "Ġaff idav", + "w o", + "Ġse ated", + "ĠR ide", + "Ġpaint ings", + "ĠP ix", + "Ġ13 7", + "ish i", + "umb ai", + "g otten", + "ĠEar l", + "Ġin ning", + "Ġc ensus", + "Ġtrave lled", + "ĠCons ult", + "18 5", + "b ind", + "Ġsimpl icity", + "Ġoverlook ed", + "ĠHelp ful", + "Ġmon key", + "Ġoverwhelming ly", + "Bl ood", + "ĠFl int", + "ĠJ ama", + "ĠPres ent", + "ĠR age", + "ĠT A", + "pt ive", + "Ġturn out", + "w ald", + "ĠD olphins", + "ĠV PN", + "Ġon ion", + "Ġcraft ing", + "m ma", + "ĠMerc ury", + "Ġarr ange", + "Ġalert s", + "ĠO T", + "zb ollah", + "Ġg ases", + "ĠRichards on", + "s al", + "l ar", + "Ġfro st", + "Ġlower ing", + "Ġacc laim", + "Ġstart ups", + "ĠG ain", + "ess ment", + "Ġguard ian", + "äº º", + "ĠP ie", + "ĠL inks", + "Ġmer its", + "Ġaw ake", + "Ġparent al", + "Ġexceed s", + "Ġid le", + "ĠPil ot", + "Ġe Bay", + "ĠAc cept", + "ipe g", + "C am", + "ĠK ot", + "Ġtrad ers", + "olit ics", + "unk er", + "ĠP ale", + "os i", + "an mar", + "Ġ19 47", + "ĠF ell", + "est ial", + "it ating", + "G F", + "ĠS r", + "if ted", + "Ġconnect or", + "ĠB one", + "ill es", + "2 60", + "h ma", + "Ġoverl ap", + "ĠGit Hub", + "Ġclean er", + "ĠBapt ist", + "ĠW AS", + "Ġlung s", + "Ñ ģ", + "ĠB UT", + "Ġc ite", + "Ġpit ched", + "reat ment", + "Ġtro phies", + "ĠN u", + "38 6", + "ĠPr ide", + "Ġattend ees", + "[ ]", + "17 9", + "Ġspat ial", + "Ġpri zes", + "ĠRel igion", + "Ġshow case", + "ĠC ategory", + "vid ia", + "T arget", + "Pro perty", + "? ,", + "Ġf usion", + "p ie", + "ĠU CLA", + "Ġsound track", + "Ġprin cess", + "ĠC aval", + "sh ould", + "Ġlim bs", + "Back ground", + "Ġlone ly", + "Ġc ores", + "ĠT ail", + "she et", + "Ġ13 2", + "R a", + "ãĤ «", + "ĠB olt", + "Ġbook ed", + "Ġadmin ister", + "Ġequ als", + "w y", + "Ġobserv ing", + "ĠBar on", + "ĠAd obe", + "Ġv irgin", + "ĠSocial ist", + "M ove", + "gh azi", + "ĠLind a", + "2 12", + "Ġbre wing", + "Ġmerch ants", + "bur se", + "Ġdiv or", + "Ġmet als", + "ĠN er", + "Ġsum s", + "ĠEn emy", + "Ġen vision", + "Ġgrant ing", + "ĠH oney", + "ĠSk yrim", + "Ġsoc io", + "gr aded", + "Ġselect ive", + "W ASHINGTON", + "Ġ19 48", + "ĠSir ius", + "ĠG ross", + "act ivity", + "ĠI van", + "Ġfur ious", + "BS D", + "ĠPre vious", + "Ġrespons ive", + "Ġchar itable", + "Ġle aning", + "ĠP ew", + "Ġviol ates", + "\\\\\\\\ \\\\\\\\", + "ĠCom ing", + "w ire", + "Ġpo et", + "Ġres olutions", + "comm and", + "ĠPortug uese", + "Ġnick name", + "Ġde af", + "Feb ruary", + "Ġrecogn ise", + "Ġentire ty", + "Ġseason al", + "pl aced", + "ĠTe legraph", + "Ġmicro phone", + "our ing", + "Ġgr ains", + "Ġgovern ed", + "Ġpost p", + "ĠW aters", + "in ement", + "Ġund ocumented", + "ĠCom cast", + "Ġf ox", + "Ġassault s", + "re on", + "man y", + "ĠJen kins", + "ĠAny way", + "Ġassess ments", + "Ġdown s", + "ĠM ouse", + "Ġsuper b", + "k t", + "ĠD ow", + "Ġtax ation", + "4 01", + "Ġsm iles", + "Ġundert aken", + "Ġex h", + "Ġenthusi astic", + "Ġtw ent", + "Ġgovernment al", + "Ġautonom y", + "ĠTechn ologies", + "ĠCh ain", + "Ġpreval ent", + "f b", + "Ġnic otine", + "og ram", + "j ob", + "Ġawa iting", + "ĠMen u", + "Ġdep uties", + "k ov", + "ish ops", + "But ton", + "ĠShan ghai", + "Ġdies el", + "ĠD uck", + "R yan", + "ĠPC s", + "N F", + "j ury", + "ent e", + "Ġinacc urate", + "edd y", + "Wh atever", + "Ġshow c", + "ĠN ad", + "od us", + "et r", + "Ġplaint iffs", + "ĠW OR", + "ĠAss ange", + "Ġpriv at", + "Ġpremium s", + "Ġt am", + "UR L", + "Ġel ites", + "ĠR anger", + "otten ham", + "ĠH off", + "ĠAt hens", + "Ġdefin ite", + "Ġs ighed", + "Ġeven ly", + "2 11", + "ĠAm ber", + "ak ia", + "Ġmail ing", + "Ġcr ashing", + "ĠConfeder ate", + "ru gged", + "W al", + "ĠDep ths", + "Ġjuven ile", + "Ġreact or", + "Introdu ction", + "ĠDel uxe", + "19 95", + "ĠS anchez", + "ĠM ead", + "iv able", + ": -", + "ĠPlan ning", + "ĠT rap", + "qu in", + "ĠProt ect", + "ve red", + "In formation", + "Ġkid ney", + "inn amon", + "l as", + "Ġpolic ing", + "Ġtoler ate", + "ĠQ i", + "Ġbi ased", + "F ort", + "ĠK i", + "s ave", + "Ġprivile ged", + "Ġbe asts", + "ĠGl as", + "ĠC inem", + "Ġcome back", + "Sund ay", + "Ġext inction", + "h ops", + "Ġtrans mit", + "Ġdoub les", + "ĠFl at", + "16 7", + "Ġdis puted", + "Ġinjust ice", + "f oo", + "V ict", + "role um", + "ĠJul ie", + "Con text", + "ĠR arity", + "iss ue", + "Comp onent", + "Ġcounsel ing", + "an ne", + "d ark", + "Ġobject ions", + "u ilt", + "Ġg ast", + "Ġpl ac", + "Ġun used", + "ãĥ ĩ", + "ĠT rial", + "ĠJ as", + "hed ral", + "ob b", + "Ġtempor al", + "ĠPR O", + "ĠN W", + "ĠAnn iversary", + "L arge", + "Ġther m", + "Ġd avid", + "Ġsystem ic", + "ĠSh ir", + "m ut", + "ĠNe pt", + "add ress", + "Ġscan ning", + "Ġunderstand able", + "Ġcan vas", + "C at", + "ĠZ oo", + "Ġang els", + "L O", + "ĠStat ement", + "ĠS ig", + "ov able", + "ĠA way", + "sh aring", + "ocr ats", + "st ated", + "Ġweigh ing", + "N or", + "w ild", + "B ey", + "Ġaston ishing", + "ĠReyn olds", + "Ġop ener", + "Ġtrain er", + "Ġsurg ical", + "p n", + "Ġadjust ing", + "whe el", + "Ġf rown", + "erv ative", + "Ġsusp end", + "With in", + "te in", + "Ġobst acle", + "Ġliber ties", + "ym es", + "Ġur anium", + "ans om", + "an ol", + "ub a", + "ĠL oss", + "Ġa rous", + "ĠHend erson", + "W ow", + "s pl", + "c ur", + "Ġ Ń", + "Ġtheir s", + "Dam age", + "Ġdownload ing", + "Ġdisc ern", + "ĠSt o", + "ĠFl a", + "Ġh ath", + "ĠA j", + "Ġun pleasant", + "Europe an", + "exp ensive", + "Ġscreens hot", + "ĠU V", + "Ġall ied", + "ĠPers ian", + "Ġmonop oly", + "Ġat om", + "ĠReds kins", + "\"> <", + "Ġcan cell", + "Ġcinem a", + "13 1", + "f air", + "ĠAlf red", + "Ġd uck", + "arg s", + "22 3", + "ĠIS I", + "Ġsign aling", + "in ar", + "Ġlaugh s", + "Ġfor wards", + "Ġreck less", + "Ġlisten ers", + "at ivity", + "Ġvast ly", + "n ant", + "L ess", + "ĠHun ting", + "ĠScient ific", + "IT ED", + "Ġkn ight", + "ĠH TC", + "us a", + "t mp", + "Ġr ude", + "ĠLegend ary", + "Ġar ises", + "B ad", + "ĠCl aim", + "pe g", + "Ġreal ities", + "Th ink", + "Ġ °", + "Ġro de", + "Ġstri ve", + "Ġan ecd", + "Ġshort s", + "Ġhypot hes", + "Ġcoord inated", + "ĠGand hi", + "ĠF PS", + "R ED", + "Ġsuscept ible", + "Ġshr ink", + "ĠCh art", + "Hel p", + "Ġ ion", + "de ep", + "rib es", + "ĠK ai", + "ĠCustom er", + "Sum mary", + "Ġc ough", + "w ife", + "Ġl end", + "Ġposition ing", + "Ġlot tery", + "ĠC anyon", + "Ġf ade", + "Ġbron ze", + "ĠKenn y", + "Ġbo asts", + "ĠEnh anced", + "rec ord", + "Ġemer gence", + "Ġa kin", + "ĠB ert", + "it ous", + "âĸ ij", + "Ġst ip", + "Ġexch anged", + "om ore", + "als h", + "Ġreserv oir", + "Ġstand point", + "W M", + "Ġiniti ate", + "Ġdec ay", + "Ġbrew ery", + "Ġter ribly", + "Ġmort al", + "lev ard", + "Ġrev is", + "N I", + "el o", + "Ġconf ess", + "ĠMS NBC", + "Ġsub missions", + "Cont roller", + "Ġ20 2", + "ĠR uth", + "} );", + "ĠAz ure", + "Ġ .\"", + "20 6", + "ĠMarket ing", + "Ġl aund", + "ien cies", + "Ġrenown ed", + "ĠT rou", + "ĠN GO", + "ble ms", + "Ġterr ified", + "Ġwar ns", + "Ġper t", + "Ġuns ure", + "4 80", + "ale z", + "ult z", + "ĠOut side", + "Ġst yl", + "ĠUnder ground", + "Ġp anc", + "Ġd ictionary", + "Ġf oe", + "rim inal", + "ĠNor wegian", + "Ġj ailed", + "Ġm aternal", + "é e", + "ĠLu cy", + "c op", + "Ch o", + "Ġuns igned", + "ĠZe lda", + "ĠIns ider", + "ĠContin ued", + "Ġ13 3", + "ĠNar uto", + "ĠMajor ity", + "16 9", + "ĠW o", + "ãĤ ĵ", + "Ġpast or", + "Ġinform al", + "Ð ½", + "an throp", + "jo in", + "ãģ Ĺ", + "it ational", + "N P", + "ĠWrit ing", + "f n", + "ĠB ever", + "19 5", + "Ġy elling", + "Ġdr astically", + "Ġe ject", + "Ġne ut", + "Ġth rive", + "ĠFre qu", + "ou x", + "Ġpossess es", + "ĠSen ators", + "ĠD ES", + "ĠSh akespeare", + "ĠFran co", + "ĠL B", + "uch i", + "Ġinc arn", + "Ġfound ers", + "F unction", + "Ġbright ness", + "ĠB T", + "Ġwh ale", + "ĠThe ater", + "m ass", + "ĠD oll", + "S omething", + "Ġecho ed", + "ĠHe x", + "c rit", + "af ia", + "Ġgodd ess", + "Ġele ven", + "ĠPre view", + "ĠAur ora", + "Ġ4 01", + "uls ive", + "ĠLog an", + "in burgh", + "ĠCent ers", + "ĠON LY", + "ĠA id", + "Ġparad ox", + "Ġh urd", + "ĠL C", + "D ue", + "c ourt", + "Ġoff ended", + "Ġeval uating", + "ĠMatthew s", + "Ġto mb", + "Ġpay roll", + "Ġextra ction", + "ĠH ands", + "if i", + "Ġsuper natural", + "ĠCOM M", + "] =", + "dog s", + "Ġ5 12", + "ĠMe eting", + "Rich ard", + "ĠMax imum", + "Ġide als", + "Th ings", + "m and", + "ĠReg ardless", + "Ġhum ili", + "b uffer", + "L ittle", + "ĠD ani", + "ĠN ak", + "Ġliber ation", + "ĠA be", + "ĠO L", + "Ġstuff ed", + "ac a", + "ind a", + "raph ic", + "Ġmos qu", + "Ġcampaign ing", + "Ġoccup y", + "S qu", + "r ina", + "ĠW el", + "ĠV S", + "Ġphys ic", + "Ġp uls", + "r int", + "oad ed", + "ET F", + "ĠArch ives", + "Ġven ues", + "h ner", + "ĠTur bo", + "Ġl ust", + "Ġappeal ed", + "que z", + "il ib", + "ĠTim othy", + "Ġo mn", + "d ro", + "Ġobs ession", + "ĠSav age", + "19 96", + "Gl obal", + "J es", + "2 14", + "Ġsl iding", + "Ġdisapp ro", + "ĠMag ical", + "Ġvolunt arily", + "g b", + "ane y", + "Ġprop het", + "ĠRe in", + "ĠJul ia", + "ĠW orth", + "aur us", + "Ġb ounds", + "ie u", + ")) )", + "Ġcro re", + "ĠCitiz en", + "S ky", + "Ġcolumn ist", + "Ġseek ers", + "ond o", + "IS A", + "ĠL ength", + "Ġnost alg", + "Ġnew com", + "Ġdet rim", + "ent ric", + "3 75", + "ĠG E", + "Ġaut op", + "Ġacadem ics", + "App Data", + "ĠS hen", + "Ġid iot", + "ĠTrans it", + "Ġteasp oon", + "W il", + "K O", + "ĠCom edy", + "> ,", + "Ġpop ulated", + "W D", + "Ġp igs", + "ĠO culus", + "Ġsymp athetic", + "Ġmar athon", + "19 8", + "Ġseiz ure", + "s ided", + "Ġd op", + "irt ual", + "L and", + "ĠFl oor", + "osa urs", + "... ]", + "Ġl os", + "Ġsubsid iary", + "E Y", + "ĠPart s", + "ĠSt ef", + "ĠJud iciary", + "Ġ13 4", + "Ġmir rors", + "Ġk et", + "t imes", + "Ġneuro log", + "Ġc av", + "ĠGu est", + "Ġtum or", + "sc ill", + "ĠLl oyd", + "E st", + "Ġcle arer", + "Ġstere otypes", + "Ġd ur", + "not hing", + "Red dit", + "Ġnegoti ated", + "---------------- --------", + "23 5", + "Ġfl own", + "ĠSe oul", + "ĠRes ident", + "ĠS CH", + "Ġdisappear ance", + "ĠV ince", + "g rown", + "Ġgrab s", + "r il", + "ĠInf inite", + "ĠTw enty", + "Ġpedest rian", + "Ġjer sey", + "ĠF ur", + "ĠInf inity", + "ĠEll iott", + "Ġment or", + "Ġmor ally", + "Ġob ey", + "sec ure", + "iff e", + "Ġantib iotics", + "ang led", + "ĠFre eman", + "ĠIntrodu ction", + "J un", + "Ġm arsh", + "ic ans", + "ĠEV ENTS", + "och ond", + "W all", + "icult y", + "Ġmisdem eanor", + "Ġl y", + "Th omas", + "ĠRes olution", + "Ġanim ations", + "ĠD ry", + "Ġinter course", + "ĠNew castle", + "ĠH og", + "ĠEqu ipment", + "17 7", + "Ġterrit orial", + "Ġarch ives", + "20 3", + "Fil ter", + "ĠMun ich", + "Ġcommand ed", + "ĠW and", + "Ġpit ches", + "ĠCro at", + "Ġrat ios", + "ĠM its", + "Ġaccum ulated", + "ĠSpecific ally", + "Ġgentle man", + "acer b", + "Ġp enn", + "Ġa ka", + "ĠF uk", + "Ġinterven e", + "ĠRef uge", + "ĠAlz heimer", + "Ġsuccess ion", + "oh an", + "d oes", + "L ord", + "Ġsepar at", + "Ġcorrespond ence", + "Ġsh iny", + "P rior", + "Ġs ulf", + "Ġmiser able", + "Ġded ication", + "( ).", + "Ġspecial ists", + "Ġdefect s", + "ĠC ult", + "ĠX ia", + "Ġje opard", + "ĠO re", + "Ab ility", + "Ġle ar", + "Ġamb itions", + "ĠB MI", + "ĠArab s", + "Ġ19 42", + "Ġpres ervation", + "ific ate", + "Ġash amed", + "l oss", + "ĠRest aur", + "Ġrese mble", + "Ġen rich", + "ĠK N", + "ĠCl an", + "fl oat", + "Ġplay able", + "IT T", + "Ġharm ony", + "arr ison", + "ĠWe instein", + "w ere", + "Ġpoison ing", + "ĠCom put", + "ĠWord Press", + "m ajor", + "ĠVal ve", + "F an", + "ĠTh row", + "ĠRom ans", + "ĠDep ression", + "ad os", + "Ġtort ured", + "Ġbal ancing", + "bott om", + "Ġacqu iring", + "ĠMon te", + "ard i", + "Ġa ura", + "Ġ# #", + "ĠStand ing", + "ĠAtl as", + "C F", + "Ġintr ins", + "ĠBen ghazi", + "Ġcamp ing", + "Ġt apped", + "bl ade", + "st rous", + "ĠR abb", + "ĠW ritten", + "t ip", + "ĠNe igh", + "ster dam", + "ĠAll ow", + "ĠHe aling", + "ĠR hod", + "n um", + "Ġcaffe ine", + "ĠPer cent", + "Ġbo o", + "Ġapp les", + "30 5", + "Ġwel coming", + "Ġappl aud", + "Ġa usterity", + " ±", + "ĠRe ality", + "ef e", + "å ®", + "Ġsu cks", + "Ġtab s", + "ĠPay Pal", + "Ġback pack", + "Ġgif ted", + "abul ary", + "ĠSc out", + "ir teen", + "Ġch in", + "Ġo mitted", + "Ġnegative ly", + "Ġaccess ing", + "ĠE arn", + "Ġambul ance", + "Ġhead phones", + "Ġ20 5", + "ĠRef resh", + "p resident", + "ĠKit chen", + "ĠEnt ered", + "ĠS nyder", + "00 5", + "om ical", + "Ġborrow ed", + "ĠN em", + "Ġav iation", + "Ġst all", + "rim ination", + "Ġuniform s", + "it ime", + "ĠSim mons", + "ener gy", + "ab lished", + "y y", + "qual ified", + "Ġrall ies", + "ĠSt uart", + "fl ight", + "Ġgang s", + "r ag", + "Ġv ault", + "lu x", + "ĠCom par", + "Ġdesign ation", + "20 9", + "ĠJ os", + "d ollar", + "z ero", + "Ġwell s", + "30 3", + "Ġconstitu ents", + "Ġhe ck", + "Ġc ows", + "Ġcommand ers", + "Ġdifferent ial", + "ĠC atherine", + "29 9", + "Ġval ve", + "Ġbr ace", + "Ġperspect ives", + "c ert", + "f act", + "icular ly", + "ĠMc N", + "pl anes", + "Ġint ric", + "Ġpe as", + "ov an", + "Ġtoss ed", + "ret ch", + "ĠL opez", + "Ġunf amiliar", + "de ath", + "ĠA part", + "ĠCh ang", + "Ġrelie ved", + "rop he", + "Ġair ports", + "Ġfre ak", + "ut il", + "M ill", + "ĠCh in", + "ĠOw en", + "m ale", + "ĠBro ken", + "ĠWind s", + "ro b", + "r ising", + "Ġfire fighters", + "Ġauthor itarian", + "Ġ14 8", + "Bit coin", + "ex ternal", + "Ġbrow sers", + "iche ver", + "or ian", + "Ġun b", + "Ġpo ke", + "ĠZ ot", + "M id", + "ĠPop ular", + "Ġco vert", + "Ġcont ributes", + "Ġ6 50", + "Ġcont ention", + "G ate", + "Ġcons oles", + "Ġchrom os", + "ĠI X", + "Ġvis ually", + "ĠE isen", + "Ġjewel ry", + "Ġdeleg ation", + "Ġacceler ate", + "ĠR iley", + "Ġsl ope", + "Ġind oor", + "it ially", + "Ġhuge ly", + "Ġtun nels", + "Ġfin ed", + "Ġdirect ive", + "Ġfore head", + "ustom ed", + "Ġsk ate", + "Mus ic", + "g as", + "Ġrecogn izing", + "am bo", + "Ġover weight", + "ĠGr ade", + "Ù Ĭ", + "Ġsound ing", + "Ġlock ing", + "ĠR EM", + "St ore", + "Ġexc av", + "ĠLike wise", + "ĠL ights", + "Ġel bow", + "ĠSupp ly", + "w ic", + "Ġhands ome", + "19 94", + "C oll", + "Ġadequ ately", + "ĠAssoci ate", + "Ġstri ps", + "Ġcrack down", + "Ġmar vel", + "ĠK un", + "Ġpass ages", + "@@ @@", + "ĠT all", + "Ġthought ful", + "names e", + "Ġprost itution", + "bus iness", + "Ġball istic", + "person al", + "c ig", + "iz ational", + "R ound", + "ĠÂłĠÂł ĠÂłĠÂł", + "ĠCole man", + "Ġadm itting", + "ĠPl ug", + "Ġbit coins", + "ĠSu z", + "Ġfair ness", + "Ġsupp lier", + "Ġcatast rophic", + "ĠHel en", + "o qu", + "M arc", + "ĠArt icles", + "g ie", + "Ġend angered", + "Ġdest iny", + "ĠVol t", + "ol ia", + "ax is", + "Ġche at", + "Ġun ified", + "IC O", + "qu ote", + "30 2", + "ĠS ed", + "Ġsupp ression", + "Ġanaly zing", + "Ġsqu at", + "Ġfig uring", + "Ġcoordin ates", + "Ġch unks", + "Ġ19 46", + "Ġsub p", + "Ġw iki", + "ĠFor bes", + "ĠJ upiter", + "ĠE rik", + "im er", + "ĠCom mercial", + "\\ )", + "Ġlegitim acy", + "Ġd ental", + "ĠMe an", + "Ġdefic its", + "5 50", + "Orig inally", + "ĠHor ror", + "Ġcontam ination", + "ll ah", + "Ġconf isc", + "ĠCl are", + "T B", + "ĠF ailed", + "an ed", + "Ġrul er", + "ĠCont roller", + "Ġfemin ists", + "F ix", + "g ay", + "20 7", + "Ġr abbit", + "Th ird", + "ownt own", + "Ġgl ue", + "Ġvol atile", + "Ġsh ining", + "Ġf oll", + "Ġimp aired", + "Ġsup ers", + "æ Ī", + "Ġcl utch", + "ļé ĨĴ", + "Ġpro let", + "Ġ( !", + "Ġy elled", + "ĠK iev", + "ĠEr n", + "ĠSh ock", + "K B", + "Ġsit uated", + "qu ery", + "ĠN as", + "Ġan nex", + "char acter", + "ĠHol iday", + "Ġautom ation", + "ĠJ ill", + "ĠRem astered", + "Ġl inem", + "Ġwild erness", + "ĠHor izon", + "ĠGu inea", + "A Z", + "Ġmain land", + "Ġsec recy", + "LE ASE", + "Ġp unk", + "ĠProv ince", + "( ),", + "Spe ed", + "Ġhand ing", + "ĠSeb ast", + "S ir", + "r ase", + "Ġj ournals", + "Ġcon gest", + "ĠT ut", + "ir rel", + "Ġschizophren ia", + "Ġmis ogyn", + "health y", + "I ron", + "Ġreact ed", + "- $", + "25 2", + "Ġpl ural", + "Ġpl um", + "Ġbarg ain", + "Ġground ed", + "f inder", + "Ġdis se", + "ĠL az", + "O OD", + "Ġat roc", + "F actory", + "Ġmin ions", + "Ġo ri", + "ĠB rave", + "ĠP RE", + "ĠMy anmar", + "ĠH od", + "Ġexped ition", + "Ġexpl ode", + "ĠCo ord", + "Ġext r", + "ĠB rief", + "ĠAD HD", + "Ġhard core", + "feed ing", + "Ġd ile", + "ĠF ruit", + "Ġvacc ination", + "ĠM ao", + "osp here", + "Ġcont ests", + "- |", + "Ġf ren", + "isp here", + "R om", + "ĠSh arp", + "ĠTre nd", + "Ġdis connect", + "âĢ¢ âĢ¢", + "Ġper secution", + "Ear th", + "Ġhealth ier", + "38 4", + "Ġc ob", + "ĠTr inity", + "OW S", + "AN N", + "Ġspecial ty", + "Ġg ru", + "Ġcooper ative", + "wh y", + "Start ing", + "ĠIss ues", + "st re", + "ens or", + "Ġ18 5", + "Ad v", + "! ?", + "ĠRe vel", + "em ia", + "ĠH ulk", + "Ġcelebr ations", + "ĠS ou", + "ra ud", + "ĠKle in", + "Ġun real", + "con text", + "Ġpartners hips", + "Ġadop ting", + "t ical", + "Ġspl ash", + "ĠHe zbollah", + "c ategory", + "cycl op", + "xt on", + "ĠD ot", + "urd y", + "t z", + "Ġenvelop e", + "ĠN L", + "â ķ", + "Ġwhere in", + "Spe c", + "18 4", + "Ġte lev", + "al iation", + "Ġmyth s", + "å °", + "Ġrig orous", + "Ġcommun icating", + "Ġobser ver", + "Ġre he", + "ĠW ash", + "Ġapolog ized", + "ĠT in", + "Ġexpend itures", + "work ers", + "d ocument", + "Ġhes itate", + "ĠLen in", + "Ġunpredict able", + "Ġrenew al", + "cl er", + "ok ia", + "ĠCON T", + "Ġpost season", + "Tok ens", + "Ġex acerb", + "Ġbet ting", + "Ġ14 7", + "Ġelev ation", + "W ood", + "ĠSol omon", + "19 4", + "00 4", + "out put", + "Ġredu nd", + "ĠM umbai", + "Ġp H", + "Ġreprodu ce", + "ĠD uration", + "MA X", + "Ġb og", + "C BS", + "ĠBal ance", + "ĠS gt", + "ĠRec ent", + "Ġc d", + "Ġpo pped", + "Ġincomp et", + "pro p", + "ay an", + "g uy", + "Pac ific", + "Ġty r", + "Ġ{ {", + "ĠMy stic", + "ĠD ana", + "Ġmast urb", + "Ġge ometry", + "à ¢", + "ĠCor rect", + "Ġtraject ory", + "Ġdistract ed", + "Ġf oo", + "ĠW elsh", + "L uc", + "m ith", + "Ġrug by", + "Ġrespir atory", + "Ġtri angle", + "Ġ2 15", + "Ġunder graduate", + "ĠSuper ior", + "ch anging", + "_ -", + "Ġright ly", + "Ġrefere e", + "Ġluc rative", + "Ġun authorized", + "Ġresemb les", + "ĠGN U", + "ĠDer by", + "Ġpath ways", + "ĠL ed", + "Ġend urance", + "Ġst int", + "Ġcollect or", + "F ast", + "Ġd ots", + "Ġnational s", + "ĠSec urities", + "Ġwh ip", + "Par am", + "Ġlearn s", + "M agic", + "Ġdetail ing", + "m oon", + "Ġbroadcast ing", + "Ġb aked", + "26 5", + "hol m", + "ĠS ah", + "ĠHus sein", + "ĠCourt esy", + "17 4", + "Ġ14 6", + "Ġge ographic", + "pe ace", + "Ġjud ging", + "ĠS tern", + "B ur", + "Ġstory line", + "G un", + "ĠSt ick", + "24 5", + "30 7", + "ãĤ´ ãĥ³", + "ĠAdminist rator", + "Ġbur nt", + "Ġp ave", + "ch oes", + "Ex ec", + "Ġcamp uses", + "Res ult", + "Ġmut ations", + "ĠCh arter", + "Ġcapt ures", + "Ġcomp ares", + "Ġbad ge", + "S cient", + "Ġer ad", + "ier y", + "o i", + "ett es", + "ĠE state", + "Ġst rap", + "Ġproud ly", + "Ġf ried", + "Ġwithd rawn", + "ĠV oy", + "ph ony", + "It ems", + "ĠP ierce", + "b ard", + "Ġann otation", + "ant on", + "ill on", + "Im pro", + "... )", + "Ġhapp ier", + "---- --", + "ad just", + "Ġstaff ers", + "Ġactiv ism", + "Ġper f", + "Ġal right", + "N eed", + "Ġcomm ence", + "Ġopio id", + "ĠAm anda", + "E s", + "ĠP ars", + "ĠK aw", + "W orks", + "24 8", + "Ġind o", + "t c", + "end ant", + "ĠM oto", + "Ġlegal ization", + "OT E", + "Ġtask ed", + "Ġt sp", + "ĠACT IONS", + "16 6", + "Ġrefres hing", + "ĠN R", + "ĠPere z", + "Ġinfring ement", + "S Y", + "List en", + "in ning", + "k u", + "Ġrot ate", + "pro gram", + "ar ah", + "Des ign", + "Ġ( £", + "Ġst oring", + "Ġwar rants", + "Ġjud gement", + "ĠB rist", + "us ually", + "ph oto", + "ĠR an", + "ĠP ine", + "Ġoutrage ous", + "ĠValent ine", + "lu ence", + "ĠEvery body", + "Al tern", + "Ġrele vance", + "Ġtermin ated", + "Ġd essert", + "Ġfulf illed", + "Ġprosecut ed", + "ĠW ords", + "Ġm igrant", + "Ġcultiv ation", + "ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ", + "idel ity", + "ĠV ern", + "ĠLog in", + "Ġmetaph or", + "ĠT ip", + "Ġrecru its", + "ĠP ig", + "rib ing", + "Ġenthusi asts", + "ex per", + "Ġfright ening", + "ĠH air", + "ans on", + "str ate", + "Ġh i", + "He ight", + "Ġown ing", + "n one", + "Ġdis like", + "Ġkn ives", + "pher d", + "Ġloud ly", + "ĠAP Is", + "Dis play", + "ĠL ac", + "ĠUS S", + "ab l", + "ver ages", + "J ew", + "Ġ17 2", + "ĠHist orical", + "at oon", + "ĠPhys ics", + "in tern", + "Ġwarm th", + "Ġto pp", + "D M", + "Ġgun man", + "Ġem peror", + "od i", + "ãĥ £", + "in atory", + "ĠR ib", + "Ġ13 1", + "ĠSat urn", + "ĠSh ining", + "Ġw aking", + "Qu otes", + "Ġcomed ian", + "en berg", + " ½", + "Ġbelie vers", + "Ġpaper work", + "c ustom", + "Ġle v", + "Ġl ament", + "Ġpour ing", + "22 2", + "p olitical", + "ĠSupp lement", + "m aid", + "Ġcruel ty", + "Ġt read", + "ys ics", + "A w", + "rit es", + "Ġmod ifier", + "ĠP osition", + "Ad am", + "l b", + "ub s", + "Ġimper fect", + "Ġcl usters", + "ĠEngine er", + "ĠC herry", + "Ġinaug uration", + "ĠS au", + "Ġembod iment", + "ĠUn cle", + "Ġover r", + "Ġexplos ions", + "c ule", + "ĠPrinc eton", + "ĠAndre a", + "Ġincorrect ly", + "Ġearn est", + "Ġpil gr", + "ĠS print", + "Ġslee ve", + "Ġhe ars", + "ĠAm azing", + "Ġbrow sing", + "ag in", + "Ġhom eland", + "Ġha w", + "Ġd iving", + "ist ered", + "17 8", + "Ġbarg aining", + "ĠArc ade", + "Ġdeleg ate", + "ters on", + "................................ ................................", + "ĠJackson ville", + "27 5", + "Ġst agn", + "Ġad am", + "ĠSher man", + "C B", + "Ġsub urb", + "ĠFood s", + "Ġconver ting", + "ĠAr ist", + "Ġch ambers", + "l ove", + "Ġam ino", + "ĠG an", + "Ġmad ness", + "m c", + "ĠUS E", + "def ined", + "Ġul tr", + "ind ust", + "Ġw olves", + "l ance", + "Add itionally", + "Ġcr acks", + "as ia", + "ĠRe ason", + "ĠP ump", + "Ġaccident al", + "ĠL aser", + "ĠR id", + "Ġinitial ized", + "ell i", + "Ġun named", + "Ġn oun", + "ĠPass ed", + "Ġhost age", + "ĠEth iop", + "sh irts", + "Ġun rel", + "ĠEmb assy", + "Ġ19 41", + "Ġat oms", + "Ġpur ported", + "16 4", + "ĠF i", + "Ġgall ons", + "ĠMon ica", + "Ġp g", + "en ment", + "Ġsort ed", + "ĠG ospel", + "Ġhe ights", + "Ġtr aced", + "Ġunder going", + "She ll", + "Ġs acks", + "Ġproport ions", + "Ġhall uc", + "F ont", + "ac et", + "Ġwar mer", + "ĠIN TER", + "Ġgrab bing", + "Pl ug", + "Ġreal ization", + "ĠBur ke", + "Ġen chant", + "AT ER", + "ĠSe ed", + "Ġabund ant", + "F M", + "Ġc ivic", + "V s", + "is i", + "Ġv ow", + "Ġre per", + "ĠPartners hip", + "Ġpenet ration", + "Ġax e", + "Ġsh attered", + "ĠZ ombies", + "Ġv inyl", + "ĠAl ert", + "e on", + "Ġoblig ed", + "ĠIll ust", + "ĠPl aza", + "ĠFront ier", + "Ġdavid jl", + "ĠSer ial", + "ĠH av", + "ĠNut rition", + "B i", + "Ġâĸ Ī", + "ĠJ ays", + "lin ux", + "Ġhur ry", + "Ġv oy", + "Ġhop eless", + "ĠSte alth", + "Ġ ãģ", + "ess ors", + "tt le", + "b org", + "ĠSaf ari", + "f ell", + "Ġw ary", + "d ue", + "ĠAb ove", + "H a", + "E LL", + "Ġnot or", + "ĠW on", + "T oo", + "Ġoccup ations", + "Ġposs essions", + "Ġinv iting", + "Ġpred ators", + "Ġacceler ated", + "Ġ15 7", + "uter te", + "ĠC ube", + "e ast", + "acc ount", + "G ive", + "Ġtrans plant", + "red ients", + "id able", + "Ġscreens hots", + "ĠG und", + "ĠF S", + "Ġtravel ers", + "Ġsens ory", + "ĠF iat", + "ĠRock ets", + "İ ĭ", + "_ {", + "F riend", + "Ġchar ming", + "AL S", + "Ġenjoy ment", + "m ph", + "Ġ5 000", + "ĠRE G", + "Ù Ĩ", + "b ia", + "Ġcomp ilation", + "ro st", + "ĠV P", + "ĠSch ne", + "201 9", + "Ġcop ying", + "M ORE", + "ĠFl ore", + "f alls", + "2 15", + "t otal", + "Ġdis ciples", + "d ouble", + "Ġexceed ing", + "Ġsm ashed", + "Ġconcept ual", + "ĠRom ania", + "ĠB rent", + "ĠI CE", + "ĠT ou", + "Ġg rap", + "Ġn ails", + "18 9", + "ãĥ ĺ", + "Ġproc ure", + "e ur", + "Ġconfir ming", + "ĠC ec", + "aw i", + "ĠEd en", + "Ġn g", + "Ġengine ered", + "at ics", + "Ġhook ed", + "Ġdisgust ing", + "ĠMur der", + "ãĤ ¿", + "L ibrary", + "Ġ16 8", + "Al most", + "hem atic", + "Men u", + "ĠNot re", + "ĠJ ur", + "Ġkidn apped", + "Ġhack er", + "ĠJ ade", + "Ġcreep y", + "Ġdraw ings", + "ĠSpons or", + "Ġcycl ists", + "ĠGob lin", + "Ġoptim ized", + "Ġst aged", + "ĠMc D", + "bet ween", + "A ge", + "en o", + "S ex", + "ĠW ide", + "n ings", + "av is", + "Ġincap able", + "ĠK ob", + "Ġreward ing", + "ĠL one", + "oles cent", + "Ġcontract ed", + "Ġstick y", + "J ose", + "B all", + "f est", + "ĠIn put", + "ĠRec ently", + "Ġto mat", + "squ are", + "App lication", + "Ġnit rogen", + "Ġdupl icate", + "ĠRec on", + "ĠD ear", + "L ondon", + "Ġint ra", + "Ġd ock", + "Ġout reach", + "ĠM illion", + "Ġmamm als", + "am pton", + "V AL", + "Ġsn aps", + "Ġd os", + "ĠWh ole", + "ĠRead y", + "T ry", + "ĠWinn ipeg", + "ear ance", + "Ġinc urred", + "ren ched", + "ĠNS W", + "il ot", + "rain e", + "Ġc ube", + "g ot", + "Ġrun way", + "etermin ed", + "ĠHaw ks", + "Ġsurviv or", + "ĠW ish", + "ĠD in", + "ĠDE F", + "ĠV ault", + "18 7", + "Ġmush rooms", + "Ġcris p", + "be y", + "ĠDisco very", + "Ġdevelopment al", + "Ġparad igm", + "Ġcha otic", + "ĠT su", + "Ġ3 33", + "b ons", + "Ġbacter ial", + "Ġcomm its", + "Ġcos mic", + "Ġme ga", + "oc ative", + "ĠP aint", + "ophob ic", + "Ġv ain", + "Ġcar ved", + "ĠTh ief", + "ĠG ul", + "ows hip", + "Ġc ites", + "ĠEd inburgh", + "Ġdimin ished", + "Ġacknowled ges", + "ĠK ills", + "Ġmic row", + "ĠHer a", + "Ġsen iors", + "Ġwhere by", + "H op", + "at ron", + "Ġun available", + "ĠN ate", + "Ġ4 80", + "Ġsl ated", + "ĠRe becca", + "ĠB attery", + "Ġgram mar", + "Ġhead set", + "Ġcurs or", + "Ġex cluding", + "any e", + "aunder ing", + "eb in", + "Ġfeas ible", + "ĠPub lishing", + "ĠLab s", + "ĠCl iff", + "ĠFerr ari", + "Ġp ac", + "vis ible", + "mark ed", + "pe ll", + "Ġpol ite", + "Ġstagger ing", + "ĠGal actic", + "Ġsuper st", + "Ġpar an", + "ĠOffic ers", + "ãĢ ģ", + "Ġspecific s", + "ul us", + "23 9", + "ĠP aste", + "AM P", + "ĠPan ama", + "ĠDe lete", + "angu ard", + "rest rial", + "Ġhero ic", + "ĠD y", + "ا ÙĦ", + "Ġincumb ent", + "Ġcr unch", + "t ro", + "Ġsc oop", + "Ġblog ger", + "Ġsell ers", + "ure n", + "Ġmedic ines", + "ĠC aps", + "ĠAnim ation", + "ox y", + "Ġout ward", + "Ġinqu iries", + "22 9", + "Ġpsych ologist", + "ĠS ask", + "ev il", + "Ġcontam inated", + "ãĤ ¨", + "he rence", + "Ġbrand ed", + "ĠAbd ul", + "z h", + "Ġparagraph s", + "Ġmin s", + "Ġcor related", + "er b", + "Ġimp art", + "Ġmil estone", + "ĠSol utions", + "ot le", + "Ġunder cover", + "Ġmar ched", + "ĠCharg ers", + "f ax", + "ĠSec rets", + "Ġr uth", + "we ather", + "Ġfemin ine", + "Ġsh am", + "Ġprest igious", + "igg ins", + "Ġs ung", + "hist ory", + "ett le", + "gg ie", + "Ġout dated", + "ol and", + "Ġper ceptions", + "ĠS ession", + "ĠDod gers", + "u j", + "ĠE ND", + "D oc", + "Ġdefic iency", + "Gr and", + "ĠJ oker", + "Ġretro spect", + "Ġdiagn ostic", + "Ġharm less", + "Ġro gue", + "ĠA val", + "E qu", + "Ġtrans c", + "ĠRoberts on", + "ĠDep ending", + "ĠBurn s", + "iv o", + "Ġhost ility", + "F eatures", + "ĵ ĺ", + "Ġdis comfort", + "ĠL CD", + "spec ified", + "ĠEx pect", + "3 40", + "Ġimper ative", + "ĠReg ular", + "Ch inese", + "Ġstate wide", + "Ġsy mm", + "Ġlo ops", + "Ġaut umn", + "N ick", + "Ġsh aping", + "Ġqu ot", + "Ġc herry", + "ĠCross ref", + "è¦ ļéĨĴ", + "Stand ard", + "he ed", + "ĠD ell", + "ĠViet namese", + "Ġo st", + "ĠV alkyrie", + "O A", + "Ass ad", + "Ġreb ound", + "ĠTra ffic", + "pl aces", + "æ ĺ", + "ĠB uc", + "17 2", + "Ġshel ters", + "Ġins isting", + "ĠCertain ly", + "ĠKenn eth", + "ĠT CP", + "Ġpen al", + "ĠRe play", + "he ard", + "Ġdial ect", + "iz a", + "ĠF Y", + "it cher", + "ĠD L", + "Ġspir al", + "Ġquarterback s", + "Ġh ull", + "Ġgo ogle", + "Ġto dd", + "ĠSter ling", + "ĠPl ate", + "Ġsp ying", + "mb ol", + "ĠReal m", + "ĠPro ced", + "ĠCr ash", + "Ġtermin ate", + "Ġprotest ing", + "C enter", + "gu ided", + "Ġun cover", + "Ġboy cott", + "Ġreal izes", + "s ound", + "Ġpret ending", + "ĠV as", + "19 80", + "Ġfram ed", + "Ġ13 9", + "Ġdesc ended", + "Ġrehab ilitation", + "Ġborrow ing", + "ĠB uch", + "Ġbl ur", + "R on", + "ĠFro zen", + "en za", + "Ch ief", + "ĠP oor", + "Ġtransl ates", + "M IN", + "Ġ2 12", + "J ECT", + "Ġerupt ed", + "Ġsuccess es", + "S EC", + "Ġpl ague", + "Ġg ems", + "d oms", + "Ġstret ches", + "ĠSp y", + "Ġstory telling", + "C redit", + "ĠP ush", + "Ġtra ction", + "Ġin effective", + "ĠL una", + "Ġt apes", + "Ġanaly tics", + "erc ise", + "Ġprogram mes", + "ĠCar bon", + "Ġbeh old", + "he avy", + "ĠConserv ation", + "ĠF IR", + "Ġs ack", + "ter min", + "ric ks", + "Ġhous ed", + "Ġunus ually", + "I ce", + "Ġexecut ing", + "ĠMor oc", + "ed ay", + "Ġed itions", + "Ġsm arter", + "ĠB A", + "Ġout law", + "Ġvan ished", + "ib a", + "AL SE", + "ĠSil va", + "23 8", + "C ould", + "Ġphilos opher", + "Ġevac uated", + "Sec ret", + "14 2", + "Ġvis as", + "ãĤ ¬", + "ĠM alt", + "ĠClear ly", + "ĠN iger", + "ĠC airo", + "ĠF ist", + "3 80", + "ĠX ML", + "aut o", + "it ant", + "Ġrein forced", + "Rec ord", + "ĠSurviv or", + "G Hz", + "Ġscrew s", + "parent s", + "Ġo ceans", + "ma res", + "Ġbra kes", + "vas ive", + "Ġhell o", + "ĠS IM", + "rim p", + "Ġo re", + "ĠArm our", + "24 7", + "Ġterr ific", + "Ġt ones", + "14 1", + "ĠMin utes", + "Ep isode", + "Ġcur ves", + "Ġinflamm atory", + "Ġbat ting", + "ĠBeaut iful", + "L ay", + "Ġunp op", + "v able", + "Ġr iots", + "ĠTact ics", + "b augh", + "ĠC ock", + "Ġorg asm", + "ĠS as", + "Ġconstruct or", + "et z", + "G ov", + "Ġant agon", + "Ġthe at", + "Ġde eds", + "ha o", + "c uts", + "ĠMc Cl", + "Ġu m", + "ĠScient ists", + "Ġgrass roots", + "ys sey", + "\"] =>", + "Ġsurf aced", + "Ġsh ades", + "Ġneighb ours", + "Ġad vertis", + "oy a", + "Ġmer ged", + "Up on", + "Ġg ad", + "Ġanticip ate", + "Any way", + "Ġsl ogan", + "Ġdis respect", + "I ran", + "ĠT B", + "act ed", + "Ġsubp oen", + "medi ately", + "OO OO", + "Ġwa iver", + "Ġvulner abilities", + "ott esville", + "ĠHuff ington", + "J osh", + "ĠD H", + "M onday", + "ĠEll en", + "K now", + "x on", + "it ems", + "22 8", + "Ġf ills", + "ĠN ike", + "Ġcum ulative", + "and als", + "I r", + "Ġ ì", + "Ġfr iction", + "ig ator", + "Ġsc ans", + "ĠVi enna", + "ld om", + "Ġperform ers", + "P rim", + "Ġb idding", + "M ur", + "Ġlean ed", + "ĠPri x", + "al ks", + "Ġ[ âĢ¦]", + "ĠTw itch", + "ĠDevelop er", + "ĠG ir", + "Ġcall back", + "Ab stract", + "Ġacc ustomed", + "Ġfreed oms", + "ĠP G", + "ur acy", + "Ġl ump", + "is man", + ",, ,,", + "19 92", + "ĠR ED", + "Ġwor m", + "M atch", + "ĠPl atinum", + "I J", + "ĠOwn er", + "Tri via", + "com pl", + "Ġnew born", + "Ġfant as", + "O wn", + "Ġ19 59", + "Ġsymp ath", + "Ġub iqu", + "Ġoutput s", + "Ġal lev", + "Ġpr ag", + "K evin", + "Ġfav ors", + "Ġbur ial", + "Ġn urt", + "so lete", + "c ache", + "Ġ15 6", + "Ġunl ocks", + "te chn", + "M aking", + "Ġcon quer", + "ad ic", + "æ ĸ", + "Ġel f", + "Ġelect orate", + "ĠKurd s", + "ĠSt ack", + "ĠSam urai", + "Ġâ ĺħ", + "Ġ{ }", + "ĠS aid", + "ĠFall out", + "Ġkind ness", + "ĠCustom s", + "ĠBou levard", + "Ġhelicop ters", + "ot ics", + "ĠVe get", + "com ment", + "Ġcritic ised", + "Ġpol ished", + "ĠRem ix", + "ĠC ultural", + "Ġrec ons", + "Ġdo i", + "at em", + "Sc reen", + "Ġbar red", + "Com ments", + "ĠGener ally", + "Ġsl ap", + "7 20", + "V ari", + "p ine", + "Ġem pt", + "Ġh ats", + "ĠPlay ing", + "l ab", + "a verage", + "form s", + "ĠC otton", + "Ġcan s", + "ĠD ON", + "ĠSom alia", + "C rypt", + "ĠIncre ases", + "E ver", + "mod ern", + "Ġsur geon", + "3 000", + "Ġrandom ized", + "================================ ================================", + "B ern", + "im pl", + "ĠC OR", + "Ġpro claim", + "th ouse", + "Ġto es", + "Ġam ple", + "Ġpres erving", + "Ġdis bel", + "gr and", + "B esides", + "Ġsil k", + "ĠPat tern", + "h m", + "Ġenter prises", + "Ġaffidav it", + "ĠAdvis ory", + "Ġadvert ised", + "ĠRel igious", + "se ctions", + "psy ch", + "ĠField s", + "aw ays", + "Ġhasht ag", + "ĠNight mare", + "Ġv ampire", + "Ġfore nsic", + "rosso ver", + "n ar", + "Ġn avy", + "Ġvac ant", + "ĠD uel", + "Ġhall way", + "Ġface book", + "ident ally", + "ĠN RA", + "Ġm att", + "Ġhur ricane", + "ĠKir by", + "ĠP uzzle", + "Ġsk irt", + "ou st", + "du llah", + "Ġanal ogy", + "in ion", + "Ġtomat oes", + "ĠN V", + "ĠPe ak", + "ĠMe yer", + "Ġappoint ments", + "Ġm asc", + "Ġal ley", + "re hend", + "Ġchar ities", + "Ġund o", + "Ġdest inations", + "ĠTest ing", + "\"> \"", + "c ats", + "* .", + "Ġgest ures", + "gener al", + "Le ague", + "Ġpack ets", + "ĠInspect or", + "ĠBer g", + "Ġfraud ulent", + "Ġcritic ize", + "F un", + "Ġbl aming", + "nd ra", + "Ġsl ash", + "ĠE ston", + "Ġpropos ing", + "Ġwh ales", + "Ġtherap ist", + "Ġsub set", + "Ġle isure", + "EL D", + "ĠC VE", + "ĠAct ivity", + "Ġcul min", + "sh op", + "ĠD AY", + "is cher", + "ĠAdmir al", + "ĠAtt acks", + "Ġ19 58", + "Ġmem oir", + "Ġfold ed", + "Ġsex ist", + "Ġ15 3", + "ĠL I", + "Ġread ings", + "Ġembarrass ment", + "ĠEmploy ment", + "w art", + "ch in", + "Ġcontin uation", + "l ia", + "Rec ently", + "Ġd uel", + "Ġevac uation", + "ĠKash mir", + "Ġdis position", + "ĠR ig", + "Ġbol ts", + "Ġins urers", + "4 67", + "M ex", + "Ġret aliation", + "Ġmis ery", + "Ġunre asonable", + "r aining", + "I mm", + "ĠP U", + "em er", + "Ġgen ital", + "ãĤ ³", + "ĠC andy", + "Ġon ions", + "ĠP att", + "lin er", + "Ġconced ed", + "Ġf a", + "Ġfor c", + "ĠH ernandez", + "ĠGe off", + "deb ian", + "ĠTe ams", + "Ġc ries", + "Ġhome owners", + "23 7", + "A BC", + "Ġst itch", + "Ġstat istic", + "Ġhead ers", + "ĠBi ology", + "Ġmot ors", + "ĠG EN", + "ĠL ip", + "Ġh ates", + "Ġhe el", + "S elf", + "i pl", + "ED IT", + "ort ing", + "Ġann ot", + "ĠSpe ech", + "old emort", + "ĠJ avascript", + "ĠLe Bron", + "Ġfoot print", + "Ġf n", + "Ġseiz ures", + "n as", + "h ide", + "Ġ19 54", + "ĠBe e", + "ĠDecl aration", + "ĠKat ie", + "Ġreserv ations", + "N R", + "f emale", + "Ġsatur ated", + "Ġb iblical", + "Ġtroll s", + "Dev ice", + "ph otos", + "Ġdr ums", + "ãĥīãĥ© ãĤ´ãĥ³", + "N ight", + "f ighter", + "ĠH ak", + "ri ber", + "Ġc ush", + "Ġdiscipl inary", + "ba um", + "ĠG H", + "ĠSch midt", + "ilib rium", + "Ġs ixty", + "ĠKush ner", + "ro ts", + "Ġp und", + "ĠR ac", + "Ġspr ings", + "Ġcon ve", + "Bus iness", + "F all", + "Ġqual ifications", + "Ġvers es", + "Ġnarc iss", + "ĠK oh", + "ĠW ow", + "ĠCharl ottesville", + "ed o", + "Ġinterrog ation", + "ĠW ool", + "36 5", + "B rian", + "Ġâľ ĵ", + "Ġalleg es", + "ond s", + "id ation", + "ĠJack ie", + "y u", + "Ġl akes", + "Ġworth while", + "Ġcryst als", + "ĠJud a", + "Ġcomp rehend", + "Ġfl ush", + "Ġabsor ption", + "ĠO C", + "Ġfright ened", + "ĠCh ocolate", + "Mart in", + "Ġbu ys", + "Ġbu cks", + "Ġapp ell", + "ĠChampions hips", + "Ġlist ener", + "ĠDef ensive", + "Ġc z", + "ud s", + "ĠM ate", + "Ġre play", + "Ġdecor ated", + "Ġs unk", + "ĠV IP", + "ĠAn k", + "Ġ19 5", + "aa aa", + "Nob ody", + "ĠMil k", + "ĠG ur", + "ĠM k", + "ĠS ara", + "Ġse ating", + "ĠW id", + "Tr ack", + "Ġemploy s", + "Ġgig antic", + "AP P", + "ãĤ §", + "in ventory", + "Ġtow el", + "at che", + "l asting", + "ĠT L", + "Ġlat ency", + "Ġkn e", + "B er", + "me aning", + "Ġup held", + "Ġplay ground", + "Ġm ant", + "S ide", + "Ġstere o", + "Ġnorth west", + "Ġexception ally", + "Ġr ays", + "Ġrec urring", + "D rive", + "Ġup right", + "Ġab duct", + "ĠMar athon", + "Ġgood bye", + "Ġal phabet", + "h p", + "Ġcourt room", + "ring ton", + "ot hing", + "T ag", + "Ġdiplom ats", + "Ġbar bar", + "ĠAqu a", + "18 3", + "33 33", + "Ġmat urity", + "Ġinst ability", + "ĠAp ache", + "Ġ= ==", + "Ġfast ing", + "ĠGr id", + "Mod Loader", + "Ġ15 2", + "A bs", + "ĠOper ating", + "ett i", + "Ġacqu aint", + "Don nell", + "ĠK em", + "ĠFor ge", + "Ġarm ored", + "M il", + "Ġphilos ophers", + "in vest", + "Pl ayers", + "â Ī", + "Ġmy riad", + "Ġcomr ades", + "R ot", + "Ġremember ing", + "Ġcorrespond s", + "Ġprogram mers", + "ĠLyn n", + "Ġo lig", + "Ġco herent", + "yn chron", + "ĠChem ical", + "Ġj ugg", + "p air", + "post s", + "E ye", + "ĠIn ner", + "Ġsem ester", + "ott est", + "ĠEmir ates", + "ric anes", + "or ously", + "m its", + "ĠW is", + "Ġd odge", + "l ocation", + "Ġf aded", + "Am azon", + "ĠPro ceed", + "ĠIN FO", + "j ournal", + "ĠTru ck", + "T en", + "Ġ2 17", + "Ġstat utes", + "m obile", + "ĠT ypes", + "Rec omm", + "b uster", + "pe x", + "Ġleg ends", + "Ġhead ache", + "f aced", + "ĠWi Fi", + "if ty", + "ĠH ER", + "Ġcirc uits", + "ER ROR", + "22 6", + "ol in", + "Ġcyl inder", + "osp ace", + "ik ers", + "P rem", + "Qu ant", + "Ġconflic ting", + "Ġslight est", + "Ġfor ged", + "ion age", + "Step hen", + "ĠK ub", + "ĠOpp ortun", + "ĠHe al", + "Ġbl o", + "Ġrul ers", + "Ġh uh", + "Ġsubmar ine", + "f y", + "ass er", + "Ġallow ance", + "ĠKas ich", + "ĠT as", + "ĠAustral ians", + "Forge ModLoader", + "ĠâĨ ij", + "ĠMat rix", + "am ins", + "Ġ12 00", + "ĠAc qu", + "23 6", + "D ocument", + "ĠBre aking", + "19 3", + "ĠSub st", + "ĠRoll er", + "ĠPro perties", + "ĠN I", + "t ier", + "Ġcr ushing", + "Ġadvoc ating", + "Further more", + "keep ers", + "Ġsex ism", + "x d", + "Ġcall er", + "ĠS ense", + "chie ve", + "ĠT F", + "Ġfuel ed", + "Ġreminis cent", + "Ġobs ess", + "ur st", + "Ġup hold", + "ĠF ans", + "het ics", + "Ġâ Ĺ", + "ĠB ath", + "Ġbe verage", + "Ġo scill", + "25 4", + "Ġpol es", + "Ġgrad ual", + "Ġex ting", + "ĠS uff", + "ĠS uddenly", + "Ġlik ing", + "Ġ19 49", + "un ciation", + "am ination", + "ĠO mar", + "ĠL V", + "ĠCon sequently", + "Ġsynt hes", + "ĠG IF", + "Ġp ains", + "Ġinteract ing", + "u ously", + "inc re", + "Ġrum or", + "ĠScient ology", + "19 7", + "ĠZ ig", + "Ġspe lling", + "ĠA SS", + "Ġexting u", + "ms on", + "Ġg h", + "Ġremark ed", + "ĠStrateg ic", + "ĠM ON", + "å ¥", + "g ae", + "ĠWH AT", + "E ric", + "ĠCamp us", + "Ġmeth ane", + "Ġimag in", + "J UST", + "ĠAl m", + "X T", + "i q", + "ĠR SS", + "Ġwrong doing", + "att a", + "Ġbig ot", + "Ġdemonstr ators", + "ĠCal vin", + "ĠV illa", + "Ġmembr ane", + "ĠAw esome", + "Ġbenef ic", + "26 8", + "Ġmagn ificent", + "ĠL ots", + "G reg", + "ĠBor is", + "Ġdetain ees", + "ĠH erman", + "Ġwhis pered", + "Ġa we", + "Prof essor", + "fund ing", + "Ġphys iological", + "ĠDest ruction", + "Ġlim b", + "Ġmanip ulated", + "Ġbub bles", + "Ġpse ud", + "Ġhyd ra", + "ĠBrist ol", + "Ġst ellar", + "ĠExp ansion", + "ĠK ell", + "ĠInterest ingly", + "Ġm ans", + "Ġdrag ging", + "Ġec ological", + "ĠF it", + "Ġg ent", + "Ġbenef ited", + "ĠHait i", + "Ġpoly g", + "ãĥ İ", + "Ġ20 30", + "Ġpro w", + "Ġrecon struction", + "Ġwas t", + "Ġpsych ic", + "ĠGree ks", + "Hand ler", + "16 2", + "ĠP ulse", + "Ġsol icit", + "Ġsy s", + "Ġinflu x", + "ĠG entle", + "per cent", + "Ġprolifer ation", + "Ġtax able", + "Ġdisreg ard", + "Ġesc aping", + "Ġg inger", + "Ġwith stand", + "Ġdevast ated", + "ĠD ew", + "ser ies", + "Ġinject ed", + "ela ide", + "Ġturn over", + "he at", + "Ļ Ĥ", + "H appy", + "ĠSil ent", + "ãĤ Ń", + "iv ism", + "Ġir rational", + "AM A", + "Ġre ef", + "r ub", + "Ġ16 2", + "Ġbank ers", + "ĠEth ics", + "v v", + "Ġcritic isms", + "K n", + "18 6", + "M ovie", + "ĠT ories", + "Ġno od", + "Ġdist ortion", + "F alse", + "od ore", + "Ġt asty", + "Res earch", + "ĠU ID", + "- )", + "Ġdivor ced", + "ĠM U", + "ĠHay es", + "ĠIs n", + "ian i", + "ĠH Q", + "Ġ\" #", + "ign ant", + "Ġtra umatic", + "ĠL ing", + "H un", + "Ġsab ot", + "on line", + "r andom", + "Ġren amed", + "ra red", + "K A", + "d ead", + "é t", + "ĠAss istance", + "Ġse af", + "++++ ++++", + "Ġse ldom", + "ĠWeb b", + "Ġbo olean", + "u let", + "Ġref rain", + "ĠDI Y", + "ru le", + "Ġshut ting", + "Ġutil izing", + "load ing", + "ĠPar am", + "co al", + "oot er", + "Ġattract ing", + "ĠD ol", + "Ġher s", + "ag netic", + "ĠRe ach", + "im o", + "Ġdisc arded", + "ĠP ip", + "01 5", + "ü r", + "Ġm ug", + "Im agine", + "C OL", + "Ġcurs ed", + "ĠSh ows", + "ĠCurt is", + "ĠSach s", + "spe aking", + "ĠV ista", + "ĠFram ework", + "ong o", + "Ġsub reddit", + "Ġcr us", + "ĠO val", + "R ow", + "g rowing", + "Ġinstall ment", + "Ġgl ac", + "ĠAdv ance", + "EC K", + "ĠLGBT Q", + "LE Y", + "Ġac et", + "Ġsuccess ive", + "ĠNic ole", + "Ġ19 57", + "Qu ote", + "Ġcircumst ance", + "ack ets", + "Ġ14 2", + "ort ium", + "Ġguess ed", + "ĠFr ame", + "Ġperpet rators", + "ĠAv iation", + "ĠBen ch", + "Ġhand c", + "A p", + "Ġ19 56", + "25 9", + "r and", + "Net Message", + "d in", + "urt les", + "h ig", + "ĠV III", + "ff iti", + "ĠSw ords", + "b ial", + "Ġkidn apping", + "dev ice", + "Ġb arn", + "ĠEl i", + "auc as", + "S end", + "Con structed", + "Ġ ½", + "Ġneed les", + "Ġad vertisements", + "Ġv ou", + "Ġexhib ited", + "ĠFort ress", + "As k", + "B erry", + "TY PE", + "Ġcan cers", + "ump ing", + "ĠTerrit ory", + "Ġpr ud", + "Ġn as", + "Ġathe ist", + "Ġbal ances", + "ãģ Ł", + "ĠSh awn", + "& &", + "Ġland sc", + "ĠR GB", + "Ġpet ty", + "Ġex cellence", + "Ġtransl ations", + "Ġpar cel", + "ĠChe v", + "E ast", + "ĠOut put", + "im i", + "Ġamb ient", + "ĠTh reat", + "Ġvill ains", + "Ġ5 50", + "IC A", + "Ġtall er", + "Ġle aking", + "c up", + "Ġpol ish", + "Ġinfect ious", + "ĠK C", + "Ġ@ @", + "back ground", + "Ġbureaucr acy", + "ĠS ai", + "un less", + "it ious", + "ĠSky pe", + "At l", + "ID ENT", + "00 8", + "Ġhyp ocr", + "Ġpit chers", + "Ġguess ing", + "ĠF INAL", + "Bet ween", + "Ġvill agers", + "Ġ25 2", + "f ashion", + "ĠTun is", + "Be h", + "ĠEx c", + "ĠM ID", + "28 8", + "ĠHas kell", + "19 6", + "ĠN OR", + "Ġspec s", + "Ġinv ari", + "Ġgl ut", + "ĠC ars", + "Ġimp ulse", + "Ġhon ors", + "g el", + "Ġjurisd ictions", + "ĠBund le", + "ul as", + "Calif ornia", + "ĠIncre ase", + "Ġp ear", + "Ġsing les", + "Ġc ues", + "Ġunder went", + "ĠW S", + "Ġexagger ated", + "Ġdub ious", + "Ġfl ashing", + "L OG", + ") ].", + "J ournal", + "t g", + "V an", + "ĠI stanbul", + "ĠIn sp", + "ĠFrank en", + "D raw", + "Ġsad ness", + "Ġiron ic", + "ĠF ry", + "x c", + "Ġ16 4", + "is ch", + "W ay", + "ĠProtest ant", + "h orn", + "Ġun aff", + "ĠV iv", + "ill as", + "ĠProduct ions", + "ĠH ogan", + "Ġper imeter", + "ĠS isters", + "Ġspont aneous", + "Ġdown side", + "Ġdescend ants", + "Ġor n", + "w orm", + "Japan ese", + "Ġ19 55", + "Ġ15 1", + "ĠDo ing", + "els en", + "umb les", + "Ġrad ically", + "ĠDr um", + "ĠB ach", + "Ġli abilities", + "ĠO B", + "ĠElement ary", + "Ġmem e", + "yn es", + "Ġfinger print", + "ĠGr ab", + "Ġundert ake", + "Mem bers", + "ĠRead er", + "ĠSim s", + "g od", + "Ġhypot hetical", + "s cient", + "ĠA J", + "Ġchar ism", + "Ġad missions", + "ĠMiss ile", + "tr ade", + "Ġexerc ising", + "ĠBack ground", + "W ritten", + "Ġvoc als", + "whe ther", + "Ġv i", + "ĠW inner", + "Ġl itter", + "ĠSh ooting", + "ST EM", + "ãĤ ¡", + "ĠA FL", + "Ġvari ability", + "Ġe ats", + "ĠD PS", + "b row", + "Ġeleph ants", + "Ġstr at", + "Ġ Å", + "Ġsett lers", + "Matt hew", + "Ġin advert", + "H I", + "ĠIM F", + "ĠGo al", + "Ġnerv es", + "John son", + "ey e", + "ablish ment", + "Th ursday", + "BIL ITY", + "H ad", + "am oto", + "het amine", + "ep s", + "Ġmit ochond", + "Ġcomp ressed", + "ĠTre vor", + "ĠAnim als", + "T ool", + "L ock", + "Ġtwe ak", + "Ġpin ch", + "Ġcancell ation", + "P ot", + "Ġfoc al", + "ĠAst ron", + "17 3", + "ĠA SC", + "ĠO THER", + "umn i", + "Ġdem ise", + "d l", + "Ù ħ", + "Sem itism", + "Ġcr acking", + "Ġcollabor ative", + "Ġexpl ores", + "s ql", + "Ġher bs", + "Ġconfig urations", + "m is", + "ĠRes ult", + "ace y", + "ĠSm oke", + "Ġsan ct", + "el ia", + "Ġdeg ener", + "Ġdeep est", + "Ġscream ed", + "Ġn ap", + "Soft ware", + "ĠST AR", + "E F", + "ĠX in", + "spons ored", + "mans hip", + "23 3", + "Ġprim aries", + "Ġfilter ing", + "Ġas semble", + "m il", + "ĠMy ers", + "b ows", + "Ġpun ched", + "M ic", + "Ġinnov ations", + "Ġfun c", + "and o", + "Ġfr acking", + "ĠV ul", + "о Ð", + "osh op", + "ĠIm mun", + "Ġsett ling", + "Ġadolesc ents", + "Ġreb uilding", + "Ġtransform ing", + "Ġpar ole", + "Ġhar bor", + "Ġbook ing", + "ot ional", + "onge vity", + "ĠY o", + "b ug", + "Ġemer ges", + "ĠMethod s", + "ĠCh u", + "P res", + "ĠDun geons", + "Ġtra iling", + "ĠR um", + "ĠH ugh", + "å¤ ©", + "ĠE ra", + "ĠBatt les", + "Res ults", + "ĠTr ading", + "Ġvers a", + "c ss", + "ax ies", + "he et", + "Ġgre ed", + "19 89", + "Ġgard ens", + "Ġconting ent", + "P ark", + "ĠLeaf s", + "h ook", + "ro be", + "Ġdiplom acy", + "ĠF uel", + "ĠInv asion", + "Ġupgr ading", + "M ale", + "Ġe lic", + "Ġrelent less", + "ĠCo venant", + "ap esh", + "ĠT rop", + "T y", + "pro duction", + "art y", + "Ġpun ches", + "ak o", + "cyclop edia", + "ĠR abbit", + "ĠHD MI", + "Ġ14 1", + "Ġf oil", + "Item Image", + "ĠF G", + "Ġimplement ations", + "ĠP om", + "ixt ures", + "Ġaw ait", + "Ġ3 30", + "am us", + "Ġumb rella", + "Ġfore see", + "se par", + "Ġcircum cision", + "Ġperipher al", + "S ay", + "ĠExper t", + "In c", + "Ġwithd rew", + "ĠAnd ers", + "f ried", + "Ġradio active", + "ĠOp ening", + "Ġboard ing", + "ĠN D", + "Ġover throw", + "Act iv", + "W P", + "ĠAct s", + "× Ļ", + "Ġmot ions", + "v ic", + "ĠM ighty", + "ĠDef ender", + "a er", + "Ġthank ful", + "ĠK illing", + "ĠBr is", + "mo il", + "Ġpredict ing", + "26 6", + "ch oice", + "Ġkill ers", + "Ġinc ub", + "ĠChe st", + "ather ing", + "Ġpro claimed", + "fl ower", + "oss om", + "umbled ore", + "ĠCy cling", + "ĠOccup y", + "AG ES", + "P en", + "ĠY ug", + "Ġpack aged", + "Ġheight ened", + "c ot", + "st ack", + "C ond", + "Ġst amps", + "m age", + "Ġpersu aded", + "Ġens l", + "ĠCard inal", + "Ġsol itary", + "Ġpossess ing", + "ĠC ork", + "Ġev id", + "ĠT ay", + "Ġbl ues", + "Ġextrem ism", + "Ġlun ar", + "Ġcl own", + "Te chn", + "Ġfest ivals", + "ĠPv P", + "ĠL ar", + "Ġconsequ ently", + "p resent", + "Ġsom eday", + "ç İĭ", + "ĠMet eor", + "Ġtour ing", + "c ulture", + "Ġbe aches", + "S hip", + "c ause", + "ĠFl ood", + "ãĥ ¯", + "Ġpur ity", + "th ose", + "Ġem ission", + "b olt", + "Ġch ord", + "ĠScript ure", + "L u", + "Ġ$ {", + "cre ated", + "Other s", + "25 8", + "Ġelement al", + "Ġannoy ed", + "ĠA E", + "d an", + "ĠS ag", + "Res earchers", + "Ġfair y", + "âĢĵ âĢĵ", + "======== ====", + "Sm art", + "GG GG", + "Ġskelet ons", + "Ġpup ils", + "link ed", + "Ġur gency", + "en abled", + "ĠF uck", + "Ġcoun cill", + "r ab", + "U AL", + "T I", + "Ġlif es", + "Ġconf essed", + "B ug", + "Ġharm on", + "ĠCON FIG", + "ĠNe utral", + "D ouble", + "Ġst aple", + "ĠSH A", + "Brit ish", + "ĠSN P", + "AT OR", + "oc o", + "Ġswing ing", + "ge x", + "ole on", + "pl ain", + "ĠMiss ing", + "ĠTro phy", + "v ari", + "ran ch", + "Ġ3 01", + "4 40", + "00000000 00000000", + "Ġrest oring", + "Ġha ul", + "uc ing", + "ner g", + "Ġfut ures", + "Ġstrateg ist", + "quest ion", + "Ġlater al", + "ĠB ard", + "Ġs or", + "ĠRhod es", + "ĠD owntown", + "????? -", + "ĠL it", + "ĠB ened", + "Ġco il", + "st reet", + "ĠPort al", + "FI LE", + "ĠG ru", + "* ,", + "23 1", + "ne um", + "Ġsuck ed", + "Ġr apper", + "Ġtend encies", + "ĠLaure n", + "cell aneous", + "26 7", + "Ġbrow se", + "Ġover c", + "head er", + "o ise", + "Ġbe et", + "ĠG le", + "St ay", + "Ġm um", + "Ġtyp ed", + "Ġdiscount s", + "T alk", + "ĠO g", + "ex isting", + "ĠS ell", + "u ph", + "C I", + "ĠAust rian", + "ĠW arm", + "Ġdismiss al", + "Ġaver ages", + "c amera", + "Ġalleg iance", + "L AN", + "=\" #", + "Ġcomment ators", + "ĠSet ting", + "ĠMid west", + "Ġpharm ac", + "ĠEX P", + "Ġstain less", + "Ch icago", + "Ġt an", + "24 4", + "Ġcountry side", + "ĠV ac", + "29 5", + "Ġpin ned", + "Ġcr ises", + "Ġstandard ized", + "T ask", + "ĠJ ail", + "ĠD ocker", + "col ored", + "f orth", + "\" },", + "Ġpat rons", + "Ġsp ice", + "Ġm ourn", + "ĠM ood", + "Ġlaund ry", + "Ġequ ip", + "ĠM ole", + "y ll", + "ĠTH C", + "n ation", + "ĠSher lock", + "Ġiss u", + "ĠK re", + "ĠAmeric as", + "ĠA AA", + "Ġsystem atically", + "Ġcont ra", + "ĠS ally", + "Ġrational e", + "Ġcar riage", + "Ġpe aks", + "Ġcontrad iction", + "ens ation", + "ĠFail ure", + "Ġpro ps", + "Ġnames pace", + "Ġc ove", + "field s", + "ãĤ ĭ", + "Ġw ool", + "ĠC atch", + "Ġpresum ed", + "ĠD iana", + "r agon", + "ig i", + "Ġh amm", + "Ġst unt", + "ĠG UI", + "ĠObserv atory", + "ĠSh ore", + "Ġsmell s", + "ann ah", + "Ġcock pit", + "ĠD uterte", + "8 50", + "Ġopp ressed", + "bre aker", + "ĠCont ribut", + "ĠPer u", + "ĠMons anto", + "ĠAtt empt", + "Ġcommand ing", + "Ġfr idge", + "ĠR in", + "ĠChe ss", + "ual ity", + "Ġo l", + "Republic an", + "ĠGl ory", + "ĠW IN", + ".... ...", + "ag ent", + "read ing", + "Ġin h", + "J ones", + "Ġcl icks", + "al an", + "Ġ[ ];", + "ĠMaj esty", + "ĠC ed", + "op us", + "ate l", + "à ª", + "AR C", + "ĠEc uador", + "ãĥ ł", + "ĠK uro", + "Ġritual s", + "Ġcapt ive", + "Ġoun ce", + "Ġdisag reement", + "Ġsl og", + "f uel", + "P et", + "M ail", + "Ġexerc ised", + "Ġsol ic", + "Ġrain fall", + "Ġdev otion", + "ĠAss essment", + "Ġrob otic", + "opt ions", + "ĠR P", + "ĠFam ilies", + "ĠFl ames", + "Ġassign ments", + "00 7", + "aked own", + "Ġvoc abulary", + "Re illy", + "Ġc aval", + "g ars", + "Ġsupp ressed", + "ĠS ET", + "ĠJohn s", + "Ġwar p", + "bro ken", + "Ġstat ues", + "Ġadvoc ated", + "Ġ2 75", + "Ġper il", + "om orph", + "ĠF emin", + "per fect", + "Ġh atch", + "L ib", + "5 12", + "Ġlif elong", + "3 13", + "Ġche eks", + "Ġnum bered", + "ĠM ug", + "B ody", + "ra vel", + "We ight", + "ĠJ ak", + "ĠHe ath", + "Ġkiss ing", + "ĠJ UST", + "Ġw aving", + "u pload", + "Ġins ider", + "ĠPro gressive", + "ĠFil ter", + "tt a", + "ĠBe am", + "Ġviol ently", + "ip ation", + "Ġskept icism", + "Ġ19 18", + "ĠAnn ie", + "ĠS I", + "Ġgen etics", + "Ġon board", + "at l", + "ĠFried man", + "ĠB ri", + "cept ive", + "Ġpir ate", + "ĠRep orter", + "27 8", + "Ġmyth ology", + "Ġe clipse", + "Ġsk ins", + "Ġgly ph", + "ing ham", + "F iles", + "C our", + "w omen", + "Ġreg imes", + "Ġphotograp hed", + "K at", + "ĠMA X", + "Offic ials", + "Ġunexpected ly", + "Ġimpress ions", + "F ront", + ";;;; ;;;;", + "Ġsuprem acy", + "Ġs ang", + "Ġaggrav ated", + "Ġabrupt ly", + "ĠS ector", + "Ġexc uses", + "Ġcost ing", + "ide press", + "St ack", + "ĠR NA", + "ob il", + "Ġghost s", + "ld on", + "at ibility", + "Top ics", + "Ġreim burse", + "ĠH M", + "ĠDe g", + "Ġth ief", + "y et", + "ogen esis", + "le aning", + "ĠK ol", + "ĠB asketball", + "Ġf i", + "ĠSee ing", + "Ġrecy cling", + "Ġ[ -", + "Cong ress", + "Ġlect ures", + "P sy", + "Ġne p", + "Ġm aid", + "Ġori ented", + "A X", + "Ġrespect ful", + "re ne", + "fl ush", + "ĠUn loaded", + "re quest", + "gr id", + "ĠAltern atively", + "ĠHug o", + "Ġdec ree", + "ĠBuddh ism", + "and um", + "And roid", + "ĠCong o", + "ĠJoy ce", + "Ġacknowled ging", + "hes ive", + "ĠTom orrow", + "ĠH iro", + "th ren", + "ĠM aced", + "Ġho ax", + "ĠIncre ased", + "ĠPr adesh", + "W ild", + "____ __", + "16 1", + "Ġa unt", + "Ġdistribut ing", + "ĠT ucker", + "ĠSS L", + "ĠW olves", + "B uilding", + "ou lt", + "ĠLu o", + "ĠY as", + "ĠSp ir", + "ĠSh ape", + "ĠCamb od", + "ĠIP v", + "Ġm l", + "Ġext rad", + "39 0", + "ĠPenn y", + "d ream", + "Ġstation ed", + "opt ional", + "ew orthy", + ". ", + "ĠWorks hop", + "ĠRet ail", + "ĠAv atar", + "6 25", + "N a", + "ĠV C", + "ĠSec ure", + "M Y", + "19 88", + "oss ip", + "Ġpro state", + "Ġund en", + "Ġg amer", + "ĠCont ents", + "ĠWar hammer", + "ĠSent inel", + "3 10", + "Ġse gregation", + "ĠF lex", + "ĠM AY", + "Ġdr ills", + "ĠDrug s", + "Islam ic", + "Ġsp ur", + "Ġca fe", + "Ġimag inary", + "Ġgu iding", + "Ġsw ings", + "ĠThe me", + "ob y", + "Ġn ud", + "Ġbe gging", + "Ġstr ongh", + "Ġreject ing", + "Ġpedest rians", + "ĠPro spect", + "R are", + "s le", + "Ġconcess ions", + "ĠConst itutional", + "Ġbe ams", + "Ġfib ers", + "p oon", + "Ġinstinct s", + "pro perty", + "ĠB IG", + "Sand ers", + "im ates", + "Ġco ating", + "Ġcorps es", + "ĠTR UE", + "check ed", + "Ġ16 6", + "A sh", + "ĠJ S", + "ĠF iction", + "Ġcommun al", + "Ġener getic", + "oooo oooo", + "Ġnow adays", + "IL D", + "ib o", + "ĠSU V", + "R en", + "Ġdwell ing", + "Sil ver", + "Ġt ally", + "ĠM oving", + "Ġcow ard", + "Ġgener als", + "Ġhorn s", + "Ġcirc ulated", + "Ġrob bed", + "ĠUn limited", + "Ġharass ed", + "Ġinhib it", + "Ġcomp oser", + "ĠSpot ify", + "Ġspread s", + "3 64", + "Ġsu icidal", + "Ġno ises", + "ĠSt ur", + "Ġs aga", + "ĠK ag", + "is o", + "Ġtheoret ically", + "M oney", + "Ġsimilar ity", + "Ġslic ed", + "ut ils", + "ing es", + "\" -", + "Ġan th", + "Ġimp ed", + "Mod ule", + "Through out", + "Ġmen us", + "comm ittee", + "and i", + "ob j", + "in av", + "f ired", + "ĠAb dullah", + "Ġund ead", + "Ġfont s", + "H old", + "EN G", + "Ġsustain ability", + "Ġfl ick", + "Ġr azor", + "ĠF est", + "ĠChar acters", + "Ġword ing", + "Ġpopul ist", + "Ġcritic izing", + "Ġm use", + "v ine", + "Ġcard board", + "Ġkind ly", + "Ġfr inge", + "ĠThe ft", + "icult ural", + "Ġgovern ors", + "Ġ ����", + "Ġ16 3", + "Ġtime out", + "ĠA uth", + "Child ren", + "A U", + "Ġred emption", + "ĠAl ger", + "Ġ19 14", + "Ġw aved", + "Ġastron auts", + "og rams", + "Ġsw amp", + "ĠFinn ish", + "Ġcand le", + "Ġton nes", + "ut m", + "Ġr ay", + "Ġsp un", + "Ġfear ful", + "art icles", + "Ġca us", + "or ically", + "ĠRequ ires", + "ĠG ol", + "Ġpop e", + "Ġinaug ural", + "Ġg le", + "AD A", + "ĠIS IL", + "ĠOff ensive", + "Ġwatch dog", + "Ġbal con", + "ent ity", + "ĠH oo", + "Ġgall on", + "AC C", + "Ġdoub ling", + "Ġimpl ication", + "ĠS ight", + "Ġdoct r", + "---- ---", + "Ġ\\ \\", + "Ġm alt", + "R oll", + "Ġâī ¥", + "Ġrec ap", + "add ing", + "u ces", + "ĠB end", + "fig ure", + "Ġtur key", + "Ġsoc ietal", + "ĠT ickets", + "Ġcommer cially", + "Ġsp icy", + "Ġ2 16", + "ĠR amp", + "Ġsuperior ity", + "à ¯", + "ĠTr acker", + "C arl", + "ĠC oy", + "ĠPatri ot", + "Ġconsult ed", + "Ġlist ings", + "Ġsle w", + "reens hot", + "ĠG one", + "Ġ[ ...]", + "30 9", + "Ġh ottest", + "Ø ±", + "Ġrock y", + "ĠD iaz", + "Ġmass age", + "Ġpar aly", + "Ġp ony", + "A z", + "Ġcart ridge", + "ĠN Z", + "Ġsn ack", + "ĠLam ar", + "ple ment", + "ĠLes lie", + "Ġm ater", + "Ġsn ipp", + "24 6", + "Ġjoint ly", + "ĠBris bane", + "ĠiP od", + "Ġpump ing", + "Ġgo at", + "ĠSh aron", + "eal ing", + "Ġcor on", + "Ġan omal", + "rah im", + "ĠConnect ion", + "Ġsculpt ure", + "Ġsched uling", + "ĠD addy", + "at hing", + "Ġeyeb rows", + "Ġcur ved", + "Ġsent iments", + "Ġdraft ing", + "D rop", + "( [", + "Ġnom inal", + "ĠLeaders hip", + "ĠG row", + "Ġ17 6", + "Ġconstruct ive", + "iv ation", + "Ġcorrupt ed", + "ger ald", + "ĠC ros", + "ĠChe ster", + "ĠL ap", + "ãģ ª", + "OT H", + "D ATA", + "Ġal mond", + "pro bably", + "I mp", + "Ġfe ast", + "ĠWar craft", + "F lor", + "Ġcheck point", + "Ġtrans cription", + "Ġ20 4", + "Ġtwe aks", + "Ġrel ieve", + "S cience", + "Ġperform er", + "Z one", + "Ġtur moil", + "ig ated", + "hib it", + "ĠC afe", + "the med", + "Ġflu or", + "ben ch", + "Ġde com", + "ĠU nt", + "ĠBar rett", + "ĠF acts", + "Ġt asting", + "ĠPTS D", + "ĠSe al", + "ĠJuda ism", + "ĠDynam ic", + "ĠC ors", + "V e", + "ĠM ing", + "ĠTrans form", + "v on", + "ĠDef enders", + "ĠTact ical", + "ĠV on", + "ĠUn ivers", + "Ġdist orted", + "ĠB reath", + "?' \"", + "Ġag on", + "ĠDead ly", + "Ġl an", + "ĠCy cle", + "orn ed", + "Ġrel iably", + "Ġgl or", + "ĠMon key", + "ãĥ ¡", + "Ġad ren", + "Ġmicrow ave", + "ĠAl ban", + "irc raft", + "dig it", + "sm art", + "ĠD read", + "¯¯¯¯¯¯¯¯ ¯¯¯¯¯¯¯¯", + "{ {", + "ĠRoc hester", + "Ġsimpl ified", + "Ġinf licted", + "Ġtake over", + "Ġyour selves", + "ad itional", + "Ġmus cular", + "K S", + "Ġing en", + "T ax", + "ĠFe ature", + "27 7", + "Ġcru c", + "Ġcr ate", + "Ġun identified", + "Ġacclaim ed", + "ĠM anga", + "ĠFr ances", + "ĠNep al", + "ĠG erald", + "ĠKu wait", + "Ġsl ain", + "ĠHe b", + "ĠG oku", + "ãģ® æ", + "28 6", + "M rs", + "ĠC ody", + "ĠSan ctuary", + "01 6", + "Ġdism ant", + "Ġdatas et", + "ĠH ond", + "b uck", + "ĠPat terson", + "Ġpal ette", + "ĠG D", + "ic ol", + "ĠL odge", + "Ġplanet ary", + "ak in", + "ĠRegist ered", + "ab we", + "ĠPeters burg", + "Ġha iled", + "ĠP iece", + "S che", + "ĠDO J", + "Ġen umer", + "18 1", + "ĠObs erver", + "ĠB old", + "f ounded", + "com merce", + "Ġexplo its", + "ĠF inding", + "UR N", + "ĠS ne", + "ĠAc id", + "ay ette", + "ĠVal ues", + "Ġdr astic", + "Ġarchitect ural", + "Ġ\" .", + "× ķ", + "ump ed", + "Ġwra pping", + "Ġwid ow", + "ĠSl ayer", + "l ace", + "on ce", + "German y", + "av oid", + "Ġtem ples", + "P AR", + "à ´", + "ĠLuc ifer", + "ĠFl ickr", + "l ov", + "for ces", + "Ġsc outing", + "Ġlou der", + "tes y", + "Ġbefore hand", + "Ä ĵ", + "ĠNe on", + "ĠW ol", + "ĠTyp ically", + "ĠPolit ico", + "-+ -+", + "Ġbuild er", + "Ġder ive", + "K ill", + "Ġp oker", + "Ġambig uous", + "Ġlif ts", + "Ġcy t", + "Ġrib s", + "ood le", + "ĠS ounds", + "h air", + "ĠSynd rome", + "t f", + "Ġproport ional", + "u id", + "Ġper taining", + "ĠKind le", + "ĠNeg ro", + "Ġreiter ated", + "ĠTon ight", + "oth s", + "ĠCorn ell", + "Ġo wing", + "Ġ20 8", + "elf are", + "oc ating", + "ĠB irds", + "Sub scribe", + "Ġess ays", + "Ġburd ens", + "Ġillust rations", + "ar ious", + "ER AL", + "ĠCal cul", + "Ġx en", + "ĠLink edIn", + "ĠJ ung", + "Ġredes ign", + "Con nor", + "29 6", + "Ġrevers al", + "ĠAd elaide", + "ĠL L", + "Ġs inking", + "Ġg um", + "US H", + "c apt", + "ĠGr imm", + "Ġfoot steps", + "ĠCB D", + "isp ers", + "Ġpro se", + "Wed nesday", + "ĠM ovies", + "ed in", + "Ġoverturn ed", + "Ġcontent ious", + "US B", + "~~~~~~~~ ~~~~~~~~", + "ĠCo pper", + "Ġpoint less", + "N V", + "val ues", + "olph in", + "d ain", + "Ġdepos ited", + "ĠG W", + "Ġpreced ed", + "ĠCl a", + "ĠGo lem", + "ĠN im", + "ĠÎ ²", + "ĠEngine ers", + "m iddle", + "Ġfl att", + "oper ative", + "Ġcouncil s", + "imb abwe", + "el in", + "Ġstress ful", + "ĠL D", + "Ġres h", + "l ake", + "Ġwheel chair", + "ĠAltern ative", + "Ġoptim ize", + "oper ation", + "Ġpe ek", + "Ġones elf", + "ig il", + "Ġtrans itions", + "op athy", + "bl ank", + "Ġ16 9", + "17 1", + "________________________________ ________________________________", + "Ġl aundering", + "En c", + "ĠD EC", + "Ġwork outs", + "Ġsp ikes", + "Ġdin osaurs", + "Ġdiscrim inatory", + "P ool", + "R ather", + "38 5", + "R NA", + "tes ters", + "et o", + "ĠIdent ity", + "Ġve in", + "ĠBur ton", + "Ġarc ade", + "4 20", + "Ult imately", + "ĠSad ly", + "à °", + "p ill", + "Ġcub ic", + "ĠSpect rum", + "the se", + "st ates", + "Ġun official", + "h awks", + "ĠEVER Y", + "Ġrain bow", + "Ġincarcer ation", + "and ing", + "Ġsy ll", + "ĠEver ton", + "Ġ17 9", + "ĠSer bia", + "Ġ18 9", + "m eter", + "ĠMic key", + "Ġant iqu", + "Ġfact ual", + "ne ck", + "ĠN are", + "n orm", + "m ust", + "Ġhigh ways", + "Ġgl am", + "Ġdivid ing", + "ĠSquad ron", + "ĠMar tha", + "Ġbirth s", + "C over", + "//////// ////////", + "ĠW ong", + "Ph ot", + "ĠA LS", + "ri o", + "ĠNon etheless", + "ĠL emon", + "Ġ20 6", + "ĠE E", + "Ġderiv ative", + "ĠWW II", + "v ote", + "Ġthere in", + "Ġsepar ating", + "44 6", + "sy nc", + "ĠStre ets", + "Ġr att", + "Ġmunicip ality", + "ĠShort ly", + "Ġmon k", + ") ,\"", + "Ġscr ub", + "Ġoper atives", + "Ne ither", + "Pl ace", + "ĠLim it", + "F emale", + "ĠAct or", + "Char acter", + "Ġconstit uted", + "35 7", + "Ġprotest ed", + "ĠSt raw", + "ĠHe ight", + "ild a", + "ĠTy ph", + "Ġflood s", + "Ġcos metic", + "W AY", + "pert ure", + "up on", + "t ons", + "ess ing", + "ĠP ocket", + "Ġro oft", + "ĠC aucas", + "Ġant idepress", + "Ġincomp atible", + "EC D", + "Ġoper a", + "ĠCont est", + "Ġgener ators", + "l ime", + "Def ense", + "19 87", + "for um", + "Ġsav age", + "ĠHung arian", + "n z", + "Ġmet allic", + "Ġex pelled", + "Ġres idency", + "Ġdress es", + "66 6", + "ĠC lement", + "f ires", + "C ategory", + "Ġge ek", + "al is", + "Ġc emetery", + "educ ated", + "Ġc rawl", + "ĠUn able", + "ĠT yson", + "ak is", + "Ġp ardon", + "ĠW ra", + "Ġstrengthen ed", + "ĠF ors", + "33 5", + "ĠH C", + "ĠM ond", + "Ġvisual s", + "ĠBeat les", + "ett lement", + "Ġ ï", + "g ro", + "Ġb ash", + "Ġpo orest", + "Ġex cel", + "Ġaspir ations", + "ĠM unicip", + "ens ible", + "Ġceremon ies", + "Ġintimid ation", + "ĠCON TR", + "be ck", + "ĠK ap", + "as u", + "Ġtradem arks", + "ĠS ew", + "ĠComp etition", + "net work", + "ĠAr ri", + "ĠT et", + "Ro aming", + "W C", + "D at", + "Ġso b", + "Ġpair ing", + "Ġoverd ose", + "SA Y", + "ab er", + "Ġrev olt", + "ĠF ah", + "act ing", + "e q", + "est ation", + "F ight", + "ĠMar ks", + "27 3", + "Ġ17 8", + "R aw", + "ãģ ĭ", + "34 9", + "bl ocks", + "Ġver ge", + "est ine", + "ĠPod esta", + "Ġinv asive", + "Ġprofound ly", + "ĠA o", + "e ach", + "Ġl est", + "inter pret", + "Ġshr inking", + "Ġerr one", + "Ġche es", + "ly s", + "ĠI vy", + "ĠDirect ory", + "Ġhint ed", + "V ICE", + "Ġcontact ing", + "ĠG ent", + "he i", + "Ġlabel ing", + "Ġmerc ury", + "ĠL ite", + "Ġexp ires", + "Ġdest abil", + "rit is", + "c u", + "Ġfeather s", + "Ġste er", + "Ġprogram med", + "ĠV ader", + "Go ing", + "ĠE lim", + "Ġy o", + "ĠMic he", + "Ġ20 3", + "Ġslee ves", + "Ġb ully", + "ĠHum ans", + "36 8", + "Ġcomp ress", + "ĠBan ner", + "AR S", + "Ġa while", + "Ġcal ib", + "Ġspons orship", + "ĠDiff iculty", + "ĠP apers", + "Ġident ifier", + "} .", + "Ġy og", + "ĠSh ia", + "Ġclean up", + "Ġvib e", + "int rodu", + "im ming", + "Austral ia", + "Ġout lines", + "ĠY outube", + "tr ain", + "ĠM akes", + "Ġde ported", + "Ġcent r", + "ĠD ug", + "ĠB oulder", + "ĠBuff y", + "Ġinj unction", + "ĠHar ley", + "ĠG roups", + "ĠD umbledore", + "ĠCl ara", + "Ġ\" -", + "Ġsacrific ed", + "ep h", + "Sh adow", + "ib ling", + "Ġfreel ance", + "Ġevident ly", + "ph al", + "Ġret ains", + "M ir", + "Ġfin ite", + "d ar", + "ĠC ous", + "Ġrep aired", + "Ġperiod ic", + "Ġchampions hips", + "Ġaster oid", + "bl ind", + "Ġexpress ly", + "ĠAst ros", + "Ġsc aled", + "Ġge ographical", + "ĠRap ids", + "En joy", + "Ġel astic", + "ĠMoh amed", + "Mark et", + "be gin", + "Ġdisco vers", + "Ġtele communications", + "Ġscan ner", + "Ġen large", + "Ġsh arks", + "Ġpsy chedel", + "ĠRou ge", + "Ġsnap shot", + "is ine", + "X P", + "Ġpestic ides", + "ĠL SD", + "ĠDist ribution", + "re ally", + "Ġde gradation", + "Ġdisgu ise", + "Ġbi om", + "ĠEX T", + "Ġequ ations", + "Ġhaz ards", + "ĠComp ared", + ") *", + "Ġvirt ues", + "Ġeld ers", + "Ġenh ancing", + "ĠAc ross", + "er os", + "ang ling", + "Ġcomb ust", + "ucc i", + "Ġconc ussion", + "Ġcontrace ption", + "ĠK ang", + "Ġexpress es", + "Ġa ux", + "ĠP ione", + "Ġexhib its", + "Deb ug", + "OT AL", + "ĠAl ready", + "ĠWheel er", + "Ġexp ands", + "? :", + "Ġreconc iliation", + "Ġpir ates", + "Ġpur se", + "Ġdiscour age", + "Ġspect acle", + "R ank", + "Ġwra ps", + "ĠTh ought", + "Ġimp ending", + "O pp", + "ĠAng lo", + "ĠE UR", + "Ġscrew ed", + "ret ched", + "Ġencour agement", + "mod els", + "Ġconf use", + "mm m", + "ĠVit amin", + "âĸij âĸij", + "C ru", + "Ġkn ights", + "Ġdisc ard", + "Ġb ishops", + "ĠW ear", + "ĠGar rett", + "k an", + "ãĥ Ł", + "Ġmascul ine", + "cap ital", + "ĠA us", + "Ġfat ally", + "th anks", + "ĠA U", + "ĠG ut", + "12 00", + "Ġ 00000000", + "Ġsur rog", + "ĠBI OS", + "ra its", + "ĠWat ts", + "Ġresur rection", + "ĠElect oral", + "ĠT ips", + "4 000", + "Ġnut rient", + "Ġdepict ing", + "Ġspr ink", + "Ġm uff", + "ĠL IM", + "ĠS ample", + "ps c", + "ib i", + "gener ated", + "Ġspec imens", + "Ġdiss atisf", + "Ġtail ored", + "Ġhold ings", + "ĠMonth ly", + "ĠE at", + "po ons", + "Ġne c", + "ĠC age", + "ĠLot us", + "ĠLan tern", + "Ġfront ier", + "Ġp ensions", + "Ġj oked", + "ĠHard y", + "=-=- =-=-", + "r ade", + "U ID", + "Ġr ails", + "Ġem it", + "Ġsl ate", + "Ġsm ug", + "Ġsp it", + "ĠCall s", + "ĠJac obs", + "f eat", + "ĠU E", + "Ġrest ruct", + "Ġregener ation", + "Ġenerg ies", + "ĠCon nor", + "OH N", + "ĠChe ese", + "Ġg er", + "Ġresur rect", + "man agement", + "N W", + "Ġpres ently", + "ĠBru ins", + "M ember", + "ĠM ang", + "id an", + "Ġboost ing", + "w yn", + "+ .", + "requ isite", + "ĠNY PD", + "ĠMe gan", + "ĠCond itions", + "Ġp ics", + "nes ium", + "ĠR ash", + "Ġ17 4", + "ĠD ucks", + "Ġemb ro", + "z u", + "on ian", + "rel igious", + "Ġc raz", + "ĠAC A", + "ĠZ ucker", + "EM A", + "ĠPro s", + "We apon", + "ĠKn ox", + "ĠAr duino", + "Ġst ove", + "Ġheaven s", + "ĠP urchase", + "Ġher d", + "Ġfundra iser", + "Dig ital", + "5 000", + "Ġprop onents", + "/ âĢĭ", + "Ġj elly", + "ĠVis a", + "Ġmon ks", + "Ġadvance ment", + "ĠW er", + "Ġ18 7", + "e us", + "ert ility", + "Ġfet al", + "Ġ19 36", + "L o", + "Ġout fits", + "Ġstair case", + "b omb", + "Ġcustom ized", + "cl air", + "T ree", + "Ġm apped", + "ĠConsider ing", + "ĠTor res", + "Ġmeth yl", + "Ġapprox imate", + "Ġdo om", + "ĠHans en", + "Ġc rossover", + "Ġstand alone", + "ä ¼", + "Ġinv ites", + "Ġgra veyard", + "Ġh p", + "Donald Trump", + "Ġesc ort", + "G ar", + "Ġpredec essors", + "Ġh ay", + "Ġen zyme", + "ĠStra ight", + "vis ors", + "I ng", + "ane ously", + "ĠApp lied", + "Ġf ec", + "ĠDur ant", + "Ġout spoken", + "or b", + "Ġz eal", + "Ġdisgr ace", + "' ).", + "ĠChe ng", + "28 9", + "ĠRen a", + "ĠSu icide", + "29 4", + "Ġout raged", + "ĠNew man", + "ĠN vidia", + "ĠA ber", + "ĠB ers", + "Ġrecre ation", + "Wind ow", + "ĠD P", + "x e", + "Ġped oph", + "Ġfall out", + "ambo o", + "Ġpresent ations", + "ĠApp s", + "Ġh tml", + "3 45", + "ĠX XX", + "Ġrub bing", + "ĠLe ather", + "Ġhum idity", + "se ys", + "est ablished", + "ĠUn its", + "64 6", + "Ġrespect able", + "A uto", + "Ġthri ving", + "ĠInn ovation", + "ang s", + "Ext ra", + "reg ulation", + "29 8", + "p ick", + "Ex amples", + "ĠC J", + "Att ack", + "Ġdr acon", + "L T", + "Ġstick er", + "re rs", + "Ġsun ny", + "I ss", + "reg ulated", + "d im", + "ĠAb stract", + "Ġhus bands", + "Off ice", + "om ination", + "it ars", + "AN GE", + "asc al", + "ĠK ris", + "ĠInf antry", + "Ġm alf", + "ĠA the", + "ĠR ally", + "bal anced", + "................ ........", + "OU P", + "Ġmole cule", + "met ics", + "ĠSpl it", + "ĠInstruct ions", + "ĠN ights", + "c ards", + "Ġt ug", + "Ġcon e", + "å Ń", + "Ġt x", + "ĠDisc ussion", + "Ġcatast rophe", + "pp e", + "g io", + "Ġcommun ism", + "Ġhal ted", + "ĠGu ant", + "cle an", + "ĠSc hed", + "ĠK anye", + "Ġw ander", + "ĠSer iously", + "Ġ18 8", + "enn ial", + "f ollow", + "product ive", + "ĠFl ow", + "ĠS ail", + "Ġc raw", + "Ġsim ulations", + "or u", + "ang les", + "ĠN olan", + "Ġmen stru", + "4 70", + "Ġ20 7", + "aj a", + "Ġcas ually", + "board ing", + "Ġ2 22", + "ov y", + "ĠN umbers", + "um at", + "O E", + "28 7", + "ĠCle mson", + "Ġcert s", + "Ġsl id", + "ĠT ribe", + "Ġto ast", + "Ġfort unes", + "Ġf als", + "ĠComm ittees", + "Ġg p", + "Ġf iery", + "ĠN ets", + "ĠAn ime", + "Pack age", + "ĠComp are", + "l aughter", + "in fect", + "Ġatroc ities", + "Ġjust ices", + "Ġins ults", + "ĠVern on", + "Ġsh aken", + "Ġperson a", + "est amp", + "36 7", + "br ain", + "Ġexperiment ing", + "K en", + "ĠElect ronics", + "Ġ16 1", + "dom ain", + "Ġgraph ical", + "b ishop", + "Ġwho pping", + "ĠEv angel", + "Ġadvertis ers", + "ĠSpe ar", + "Ġb ids", + "Ġdestro ys", + "ut z", + "Ġunders c", + "ĠAD D", + "Ġan ts", + "ĠC um", + "ipp les", + "ĠF ill", + "Ġgl anced", + "Ġind icted", + "ĠE ff", + "Ġmis con", + "ĠDes ktop", + "Ġab ide", + "ãĥ Ģ", + "ĠI o", + "ĠC oul", + "Ġcaps ule", + "ĠCh rys", + "M ON", + "Ġund es", + "ĠI RA", + "Ġc itation", + "Ġdict ate", + "ĠNet works", + "ĠConf lict", + "ĠSt uff", + "x a", + "is ec", + "ĠChem istry", + "Ġquarter ly", + "William s", + "an an", + "O pt", + "ĠAlexand ria", + "out heastern", + "ĠSpring field", + "ĠBlack s", + "Ġge ography", + "24 2", + "Ġut most", + "ĠEx xon", + "ab outs", + "E VA", + "ĠEn able", + "ĠBar r", + "Ġdisag reed", + "ĠCy prus", + "Ġdement ia", + "Ġlab s", + "Ġubiqu itous", + "ĠLO VE", + "Ġconsolid ated", + "s r", + "Ġcream y", + "ĠTim ber", + "Reg ardless", + "ĠCert ificate", + "Ġ\" ...", + "ogen ous", + "Capt ain", + "Ġinsult ing", + "ĠSor os", + "ĠInst r", + "ĠBulgar ia", + "bet ter", + "Ġsuck ing", + "ĠDavid son", + "at z", + "Ġcoll ateral", + "g if", + "Ġplag ued", + "ĠC ancel", + "ĠGard ner", + "R B", + "Ġsix teen", + "Rem ove", + "ur istic", + "c ook", + "R od", + "Ġcompr ising", + "f le", + ") âĢĶ", + "ĠVik ing", + "g rowth", + "agon al", + "Ġsr f", + "af ety", + "m ot", + "N early", + "st own", + "ĠF actor", + "Ġautom obile", + "Ġproced ural", + "m ask", + "amp ires", + "Ġdisapp ears", + "j ab", + "3 15", + "Ġ19 51", + "ne eded", + "Ġd aring", + "le ader", + "Ġp odium", + "Ġun healthy", + "Ġm und", + "Ġpy ramid", + "oc re", + "Ġkiss ed", + "Ġdream ed", + "ĠFant astic", + "ĠG ly", + "å Ĭ", + "Ġgreat ness", + "Ġsp ices", + "Ġmet ropolitan", + "Ġcomp uls", + "i ets", + "101 6", + "ĠSh am", + "ĠP yr", + "fl ies", + "ĠMid night", + "Ġswall owed", + "Ġgen res", + "ĠL ucky", + "ĠRew ards", + "Ġdisp atch", + "ĠI PA", + "ĠApp ly", + "Ġa ven", + "al ities", + "3 12", + "th ings", + "Ġ( ).", + "Ġm ates", + "ĠS z", + "ĠC OP", + "ol ate", + "O FF", + "Ġre charge", + "c aps", + "ĠYork er", + "ic one", + "Ġgal axies", + "ile aks", + "D ave", + "ĠP uzz", + "ĠCelt ic", + "ĠA FC", + "27 6", + "ĠS ons", + "Ġaffirm ative", + "H or", + "Ġtutorial s", + "ĠC ITY", + "ĠR osa", + "ĠExt ension", + "Ser ies", + "Ġf ats", + "Ġr ab", + "l is", + "Ġun ic", + "Ġe ve", + "ĠSp in", + "Ġadul thood", + "ty p", + "Ġsect arian", + "Ġcheck out", + "ĠCy cl", + "S ingle", + "Ġmart yr", + "Ġch illing", + "88 8", + "ou fl", + "Ġ] ;", + "Ġcongest ion", + "m k", + "ĠWhere as", + "Ġ19 38", + "ur rencies", + "er ion", + "Ġbo ast", + "ĠPat ients", + "Ġch ap", + "ĠB D", + "real DonaldTrump", + "Ġexam ines", + "h ov", + "Ġstart ling", + "ĠBab ylon", + "w id", + "om ew", + "br ance", + "ĠOd yssey", + "w ig", + "Ġtor ch", + "ĠV ox", + "ĠMo z", + "ĠT roll", + "ĠAn s", + "Similar ly", + "ĠF ul", + "00 6", + "Un less", + "ĠAl one", + "st ead", + "ĠPub lisher", + "r ights", + "t u", + "ĠDoes n", + "Ġprofession ally", + "Ġcl o", + "ic z", + "Ġste als", + "Ġ á", + "19 86", + "Ġst urdy", + "ĠJoh ann", + "Ġmed als", + "Ġfil ings", + "ĠFr aser", + "d one", + "Ġmult inational", + "Ġf eder", + "Ġworth less", + "Ġp est", + "Yes terday", + "ank ind", + "Ġg ays", + "Ġb orne", + "ĠP OS", + "Pict ure", + "Ġpercent ages", + "25 1", + "r ame", + "Ġpot ions", + "AM D", + "ĠLeban ese", + "Ġr ang", + "ĠL SU", + "ong s", + "Ġpen insula", + "ĠCl ause", + "AL K", + "oh a", + "ĠMac Book", + "Ġunanim ous", + "Ġl enders", + "Ġhang s", + "Ġfranch ises", + "ore rs", + "ĠUp dates", + "Ġisol ate", + "and ro", + "S oon", + "Ġdisrupt ive", + "ĠSur ve", + "Ġst itches", + "ĠSc orp", + "ĠDomin ion", + "Ġsupp lying", + "Ar g", + "Ġtur ret", + "ĠL uk", + "Ġbr ackets", + "* )", + "ĠRevolution ary", + "ĠHon est", + "Ġnot icing", + "ĠSh annon", + "Ġafford ed", + "Ġth a", + "ĠJan et", + "! --", + "ĠNare ndra", + "ĠPl ot", + "H ol", + "se ver", + "e enth", + "Ġobst ruction", + "Ġ10 24", + "st aff", + "j as", + "or get", + "sc enes", + "l aughs", + "ĠF argo", + "cr ime", + "Ġorche str", + "Ġde let", + "ili ary", + "rie ved", + "Ġmilit ar", + "ĠGreen e", + "âĹ ı", + "ãģ ¦", + "ĠGu ards", + "Ġunle ashed", + "ĠWe ber", + "Ġadjust able", + "Ġcal iber", + "Ġmotiv ations", + "Ġà ł", + "m Ah", + "ĠL anka", + "hand le", + "Ġp ent", + "ĠR av", + "ĠAng ular", + "ĠK au", + "umb ing", + "Ġphil anthrop", + "Ġde hyd", + "Ġtox icity", + "e er", + "ĠY ORK", + "w itz", + "å ¼", + "ĠI E", + "commun ity", + "ĠA H", + "Ġret ali", + "Ġmass ively", + "ĠDani els", + "ĠD EL", + "Ġcar cin", + "Ur l", + "Ġrout ing", + "ĠNPC s", + "ĠR AF", + "ry ce", + "Ġwa ived", + "ĠGu atem", + "Every body", + "Ġco venant", + "Ġ17 3", + "Ġrelax ing", + "Ġqu art", + "al most", + "Ġguard ed", + "ĠSold iers", + "ĠPL AY", + "Ġout going", + "L AND", + "Ġre write", + "ĠM OV", + "ĠIm per", + "ĠS olution", + "Ġphenomen al", + "Ġl ongevity", + "Ġimp at", + "ĠN issan", + "ir ie", + "Ġod or", + "ĠZ ar", + "ok s", + "Ġmilit ias", + "ĠSP EC", + "Ġtoler ated", + "ars er", + "ĠBrad ford", + "+ ,", + "Ġsur real", + "s f", + "Can adian", + "Ġresemb lance", + "Ġcarbohyd rate", + "VI EW", + "Ġaccess ory", + "me al", + "larg est", + "ieg el", + "Some one", + "Ġtoug hest", + "os o", + "Ġfun nel", + "Ġcondemn ation", + "lu ent", + "Ġw ired", + "ĠSun set", + "Jes us", + "ĠP ST", + "ĠP ages", + "ĠTy coon", + "ĠP F", + "Ġselect ions", + "Ġ à¤", + "part isan", + "Ġhigh s", + "ĠR une", + "Ġcraft s", + "le ad", + "ĠParent s", + "Ġre claim", + "ek er", + "ĠAll ied", + "ae per", + "Ġlo oming", + "Ġbenefic iaries", + "ĠH ull", + "Stud ents", + "Jew ish", + "d j", + "Ġp act", + "tem plate", + "ĠOffic ials", + "ĠBay lor", + "Ġhe mp", + "Ġyouth s", + "ĠLevel s", + "ĠX iao", + "ĠC hes", + "Ġende avor", + "ĠRem oved", + "Ġhipp ocamp", + "H ell", + "ãĤ Ĭ", + "80 5", + "Ġd inosaur", + "ĠWr ath", + "ĠIndones ian", + "Ġcalcul ator", + "ĠD ictionary", + "Ġ4 20", + "ĠM AG", + "( _", + "! ,", + "t arians", + "Ġrestrict ing", + "rac use", + "Ġweek day", + "OU NT", + "Ġsh rugged", + "leg round", + "Ġb ald", + "ĠDo ctors", + "Ġt outed", + "ĠMax well", + "Ġ2 14", + "Ġdiplom at", + "Ġrep ression", + "Ġconstitu ency", + "v ice", + "r anked", + "ĠNap oleon", + "g ang", + "ĠFore ver", + "t un", + "Ġbul b", + "ĠPD T", + "ĠC isco", + "V EN", + "Ġres umed", + "Ste ven", + "ĠManit oba", + "Ġfab ulous", + "ĠAg ents", + "19 84", + "Ġam using", + "ĠMyster ies", + "Ġor thodox", + "fl oor", + "Ġquestion naire", + "Ġpenet rate", + "Ġfilm makers", + "ĠUn c", + "Ġst amped", + "Ġth irteen", + "Ġout field", + "Ġforward ed", + "Ġapp ra", + "Ġa ided", + "t ry", + "Ġunf ocused", + "ĠL iz", + "ĠWend y", + "ĠSc ene", + "Ch arg", + "Ġreject s", + "Ġleft ist", + "ĠProv idence", + "ĠBr id", + "reg n", + "Ġprophe cy", + "ĠL IVE", + "4 99", + "Ġfor ge", + "ĠF ML", + "Ġintrins ic", + "ĠF rog", + "Ġw ont", + "ĠH olt", + "Ġfam ed", + "CL US", + "aeper nick", + "ĠH ate", + "ĠC ay", + "Ġregister ing", + "ort ality", + "rop y", + "ocaly ptic", + "a an", + "n av", + "Ġfasc ist", + "IF IED", + "Ġimpl icated", + "ĠRes ort", + "ĠChand ler", + "ĠBr ick", + "P in", + "ys c", + "Us age", + "ĠHel m", + "us ra", + "âĺħ âĺħ", + "ĠAb bas", + "Ġunanim ously", + "Ġke eper", + "Ġadd icted", + "?? ?", + "Ġhelm ets", + "Ġant ioxid", + "aps ed", + "80 8", + "gi ene", + "Ġwa its", + "Ġmin ion", + "ra ved", + "ĠP orsche", + "Ġdream ing", + "Ġ17 1", + "ĠC ain", + "Ġun for", + "ass o", + "ĠConfig uration", + "k un", + "hard t", + "Ġn ested", + "ĠL DS", + "L ES", + "Ġt ying", + "en os", + "Ġc ue", + "ĠMar qu", + "sk irts", + "Ġclick ed", + "Ġexp iration", + "ĠAccording ly", + "ĠW C", + "Ġbless ings", + "Ġaddict ive", + "ĠN arr", + "y x", + "ĠJagu ars", + "Ġrent s", + "ĠS iber", + "Ġt ipped", + "ous se", + "ĠFitz gerald", + "Ġhier arch", + "out ine", + "Ġwa velength", + "> .", + "ch id", + "ĠProcess ing", + "/ +", + "r anking", + "E asy", + "ĠConst ruct", + "Ġt et", + "ins ured", + "H UD", + "Ġqu oting", + "Ġcommun icated", + "in x", + "Ġin mate", + "Ġerect ed", + "ĠAbs olutely", + "ĠSure ly", + "Ġun im", + "ĠThr one", + "he id", + "Ġcl aws", + "Ġsuper star", + "ĠL enn", + "ĠWh is", + "U k", + "ab ol", + "Ġsk et", + "ĠN iet", + "Ġper ks", + "Ġaff inity", + "Ġopen ings", + "phas is", + "Ġdiscrim inate", + "T ip", + "v c", + "Ġgr inding", + "ĠJenn y", + "Ġast hma", + "hol es", + "ĠHom er", + "Ġreg isters", + "ĠGl ad", + "Ġcre ations", + "Ġlith ium", + "Ġappl ause", + "unt il", + "Just ice", + "ĠTur ks", + "Ġsc andals", + "Ġb ake", + "t ank", + "M ech", + "ĠMe ans", + "ĠM aid", + "Republic ans", + "is al", + "wind ows", + "ĠSant os", + "Ġveget ation", + "33 8", + "t ri", + "Ġfl ux", + "ins ert", + "Ġclar ified", + "Ġmort g", + "ĠCh im", + "ĠT ort", + "Ġdiscl aim", + "met al", + "ĠAs ide", + "Ġindu ction", + "Ġinf l", + "Ġathe ists", + "amp h", + "Ġe ther", + "ĠV ital", + "ĠBu ilt", + "M ind", + "Ġweapon ry", + "S ET", + "Ġ18 6", + "ad min", + "g am", + "cont ract", + "af a", + "Ġderiv atives", + "Ġsn acks", + "Ġch urn", + "E conom", + "Ġca pped", + "ĠUnder standing", + "ĠH ers", + "ĠI z", + "Ġd uct", + "I ENT", + "augh ty", + "Ġâľ Ķ", + "ĠN P", + "Ġsa iling", + "In itialized", + "Ġt ed", + "Ġreact ors", + "ĠL omb", + "Ġcho ke", + "ĠW orm", + "Ġadm iration", + "Ġsw ung", + "ens ibly", + "Ġr ash", + "ĠGo als", + "ĠImport ant", + "Sh ot", + "ĠR as", + "Ġtrain ers", + "ĠB un", + "Work ing", + "Ġhar med", + "ĠPand ora", + "ĠL TE", + "Ġmush room", + "ĠCH AR", + "ĠF ee", + "ĠM oy", + "B orn", + "ol iberal", + "ĠMart ial", + "Ġgentle men", + "Ġling ering", + "Offic ial", + "Ġgra ffiti", + "ĠN ames", + "D er", + "Ġqu int", + "ist rate", + "aze era", + "ĠNOT ICE", + "ĠFlore nce", + "Ġpay able", + "Ġdep icts", + "ĠSpe cies", + "He art", + "âĶĢâĶĢâĶĢâĶĢ âĶĢâĶĢâĶĢâĶĢ", + "Ġencl osed", + "Incre ases", + "D aily", + "ĠL is", + "Ġenact ment", + "ĠB acon", + "ĠSt eele", + "dem and", + "Ġ18 3", + "Ġmouth s", + "Ġstr anded", + "Ġenhance ment", + "01 1", + "ĠWh ats", + "Ġhe aled", + "en y", + "ĠR ab", + "Ġ3 40", + "ĠLab yrinth", + "ro ach", + "ĠY osh", + "ĠCl ippers", + "Ġconcert s", + "Intern et", + "35 5", + "Ġstick ers", + "Ġter med", + "ĠAx e", + "Ġgrand parents", + "Fr ance", + "ĠCl im", + "ĠU h", + "ul ic", + "Ġthr ill", + "cent ric", + "ĠOver view", + "ĠCond uct", + "Ġsubstant ive", + "Ġ18 2", + "m ur", + "Ġstr ay", + "ĠCo ff", + "Ġrep etitive", + "ĠFor gotten", + "Ġqual ification", + "ew itness", + "ĠZ imbabwe", + "Ġsim ulated", + "ĠJ D", + "25 3", + "ĠW are", + "Ġun sc", + "T imes", + "Ġsum mons", + "Ġdis connected", + "Ġ18 4", + "ci us", + "ĠGu jar", + "od ka", + "Ġer ase", + "ĠTob acco", + "elect ed", + "Ġun cont", + "ĠShe pard", + "ĠL amp", + "Ġalert ed", + "Ġoper ative", + "arn a", + "u int", + "Ġneglig ence", + "ac ements", + "Ġsup ra", + "Ġprev ail", + "ĠSh ark", + "Ġbel ts", + "ãģ «", + "Ġt ighter", + "Engine ers", + "Ġin active", + "Ġexp onent", + "ĠWill ie", + "a ples", + "Ġhe ir", + "ĠH its", + "ian n", + "ĠS ays", + "Ġcurrent s", + "ĠBeng al", + "Ġar ist", + "B uffer", + "Ġbree ze", + "ĠWes ley", + "Col a", + "Ġpron oun", + "Ġde ed", + "ĠK ling", + "Ġof t", + "Ġinf lict", + "Ġpun ishing", + "Ġn m", + "ik u", + "OD UCT", + "01 4", + "Ġsubsid y", + "ĠDE A", + "ĠHer bert", + "ĠJ al", + "B ank", + "Ġdef erred", + "Ġship ment", + "B ott", + "Ġal le", + "b earing", + "HT ML", + "Off line", + "Ġ2 13", + "Ġscroll ing", + "Ġsc anned", + "ĠLib yan", + "ĠT OP", + "ch rom", + "d t", + "col umn", + "Psy NetMessage", + "Z ero", + "Ġtor so", + "0 50", + "âķ IJ", + "Ġimp erson", + "ĠSchw artz", + "ud ic", + "Ġpiss ed", + "ĠS app", + "25 7", + "ĠIS Ps", + "og l", + "Ġsuper vised", + "Ġad olescent", + "Ġatt ained", + "ĠDel ivery", + "ĠB unny", + "Ġ19 37", + "Ġmini ature", + "Ġo s", + "Ġ3 70", + "60 8", + "ĠMour inho", + "Ġinn ate", + "Ġtem po", + "ĠN M", + "ĠFall en", + "00 9", + "Ġprov ocative", + "Stream er", + "ĠBened ict", + "ĠBol she", + "Ġt urtle", + "ĠPC B", + "ĠEqu al", + "Direct or", + "ĠR end", + "Ġflu ids", + "Author ities", + "Ġcous ins", + "requ ency", + "ĠNeigh bor", + "s ets", + "sh ared", + "Char les", + "pass word", + "Ġg ears", + "Ġ2 11", + "ĠHard ware", + "ri ka", + "Ġup stream", + "H om", + "Ġdisproportion ately", + "iv ities", + "Ġund efined", + "Ġelect rons", + "Ġcommem or", + "Event ually", + "Ġ> <", + "Ġir responsible", + "2 18", + "ĠRe leased", + "ĠO VER", + "ĠI GN", + "ĠB read", + "st ellar", + "ĠS age", + "tt ed", + "dam age", + "ed ition", + "ĠPre c", + "Ġl ime", + "Ġconf inement", + "Ġcal orie", + "we apon", + "Ġdiff ering", + "ĠS ina", + "m ys", + "am d", + "Ġintric ate", + "k k", + "ĠP AT", + "ã o", + "st ones", + "lin ks", + "Ġr anch", + "Sem itic", + "Ġdifferent iate", + "ĠS inger", + "occup ied", + "Ġfort ress", + "c md", + "Ġinter ception", + "ĠAnk ara", + "Ġre pt", + "ĠSol itaire", + "Ġrem ake", + "p red", + "Ġd ared", + "aut ions", + "ĠB ACK", + "Run ning", + "Ġdebug ging", + "Ġgraph s", + "3 99", + "ĠNig el", + "Ġb un", + "Ġpill ow", + "Ġprog ressed", + "fashion ed", + "Ġob edience", + "ER N", + "Ġrehe ars", + "C ell", + "t l", + "S her", + "Ġher ald", + "ĠPay ment", + "ĠC ory", + "ĠDe pt", + "Ġrep ent", + "ĠWe ak", + "uck land", + "Ġple asing", + "Ġshort ages", + "Ġjur ors", + "ĠK ab", + "q qa", + "Ant i", + "Ġw ow", + "ĠRC MP", + "Ġt sun", + "ĠS ic", + "Ġcomp rises", + "Ġsp ies", + "Ġprec inct", + "n u", + "Ġur ges", + "Ġtim ed", + "Ġstrip es", + "ĠB oots", + "Ġy en", + "Adv anced", + "Ġdisc rete", + "ĠArch angel", + "employ ment", + "D iff", + "Ġmon uments", + "Ġ20 9", + "work er", + "Ġ19 6", + "ĠI g", + "utter stock", + "T PS", + "J ac", + "Ġhomeless ness", + "Ġcomment ator", + "Ġrac ially", + "f ing", + "se ed", + "E le", + "ell ation", + "Ġeth anol", + "Ġpar ish", + "ĠD ong", + "ĠAw akening", + "Ġdev iation", + "ĠB earing", + "ĠTsu k", + "Ġrec ess", + "Ġl ymph", + "ĠCann abis", + "å ľ", + "ĠNEW S", + "Ġd ra", + "ĠStef an", + "ĠWr ong", + "ĠS AM", + "Ġloose ly", + "Ġinterpre ter", + "ĠPl ain", + "Go vernment", + "Ġbigot ry", + "Ġgren ades", + "ave z", + "pict ured", + "Ġmand ated", + "ĠMon k", + "ĠPed ro", + "Ġl ava", + "27 4", + "Ġcyn ical", + "ĠScroll s", + "l ocks", + "M p", + "Ġcon gregation", + "orn ings", + "ph il", + "ĠI bid", + "Ġf erv", + "Ġdisapp earing", + "Ġarrog ant", + "sy n", + "ĠMa ver", + "ĠSu it", + "24 1", + "Ġab bre", + "ack ers", + "P a", + "ĠY el", + "Whe never", + "Ġ23 5", + "ĠV ine", + "ĠAn at", + "Ġext inct", + "LE T", + "Ġexecut able", + "V ERS", + "ox ide", + "D NA", + "ĠP rel", + "Ġresent ment", + "Ġcompr ise", + "ĠAv iv", + "Ġinter ceptions", + "Ġprol ific", + "IN A", + "ĠEr in", + "though t", + "2 19", + "ĠPsychiat ry", + "un ky", + "chem ist", + "H o", + "ĠMcC oy", + "Ġbr icks", + "L os", + "ri ly", + "ĠUS SR", + "Ġr ud", + "Ġl aud", + "ĠW ise", + "ĠEmer ald", + "Ġrev ived", + "Ġdam ned", + "ĠRep air", + "id em", + "ct ica", + "Ġpatri arch", + "ĠN urs", + "me g", + "Ġcheap est", + "re ements", + "empt y", + "ĠCele br", + "Ġdepri vation", + "ch anted", + "ĠTh umbnails", + "E nergy", + "ĠEth an", + "ĠQ ing", + "Ġopp oses", + "W IND", + "v ik", + "ĠM au", + "ĠS UB", + "66 7", + "G RE", + "ĠVol unte", + "nt on", + "C ook", + "å IJ", + "es que", + "Ġplum met", + "Ġsu ing", + "Ġpron ounce", + "Ġresist ing", + "ĠF ishing", + "ĠTri als", + "Ġy ell", + "Ġ3 10", + "Ġin duct", + "Ġpersonal ized", + "oft en", + "R eb", + "EM BER", + "Ġview point", + "Ġexist ential", + "() )", + "rem ove", + "MENT S", + "l asses", + "Ġev apor", + "Ġa isle", + "met a", + "Ġreflect ive", + "Ġentit lement", + "Ġdev ised", + "mus ic", + "asc ade", + "Ġwind ing", + "off set", + "Ġaccess ibility", + "ke red", + "Bet ter", + "ĠJohn ston", + "th inking", + "S now", + "ĠCroat ia", + "ĠAt omic", + "27 1", + "34 8", + "Ġtext book", + "ĠSix th", + "Ġ اÙĦ", + "Ġsl ider", + "ĠBur ger", + "b ol", + "S ync", + "Ġgrand children", + "Ġc erv", + "+ )", + "Ġe ternity", + "Ġtweet ing", + "Ġspec ulative", + "Ġpiv otal", + "ĠW P", + "ĠT ER", + "ynam ic", + "Ġu pl", + "ĠC ats", + "per haps", + "Ġclass mates", + "Ġblat ant", + "' -", + "Ġl akh", + "ant ine", + "ĠB org", + "i om", + "/ (", + "ĠAthlet ic", + "Ġs ar", + "OT A", + "ĠHoff man", + "Never theless", + "Ġad orable", + "Ġspawn ed", + "Ass ociated", + "ĠDom estic", + "Ġimpl ant", + "ĠLux em", + "ĠK ens", + "Ġp umps", + "ĠS AT", + "Att ributes", + "50 9", + "av our", + "Ġcentral ized", + "ĠT N", + "Ġfresh ly", + "ĠA chieve", + "Ġouts iders", + "her ty", + "ĠRe e", + "ĠT owers", + "ĠD art", + "ak able", + "Ġm p", + "ĠHeaven ly", + "Ġr ipe", + "ĠCarol ine", + "ry an", + "Ġclass ics", + "Ġret iring", + "Ġ2 28", + "Ġa h", + "Ġdeal ings", + "Ġpunch ing", + "ĠChap man", + "O ptions", + "max well", + "vol ume", + "Ġst al", + "Ġex ported", + "ĠQu ite", + "Ġnumer ical", + "B urn", + "F act", + "ĠKey stone", + "Ġtrend ing", + "Ġalter ing", + "ĠAfric ans", + "47 8", + "ĠM N", + "ĠKn ock", + "Ġtempt ation", + "Ġprest ige", + "Over view", + "ĠTrad itional", + "ĠBah rain", + "Priv ate", + "ĠH OU", + "Ġbar r", + "ĠT at", + "C ube", + "US D", + "ĠGrand e", + "ĠG at", + "ĠFl o", + "Ġres ides", + "Ġind ec", + "vol ent", + "Ġperpet ual", + "ub es", + "Ġworld view", + "ĠQuant um", + "Ġfil tered", + "Ġen su", + "orget own", + "ERS ON", + "ĠM ild", + "37 9", + "OT T", + "à ¥", + "Ġvit amins", + "Ġrib bon", + "Ġsincere ly", + "ĠH in", + "Ġeight een", + "Ġcontradict ory", + "Ġgl aring", + "Ġexpect ancy", + "Ġcons pir", + "Ġmon strous", + "Ġ3 80", + "re ci", + "Ġhand ic", + "Ġpump ed", + "Ġindic ative", + "Ġr app", + "Ġav ail", + "ĠLEG O", + "ĠMar ijuana", + "19 85", + "ert on", + "Ġtwent ieth", + "################ ################", + "ĠSw amp", + "Ġval uation", + "Ġaffili ates", + "adjust ed", + "ĠFac ility", + "26 2", + "Ġenz ymes", + "itud inal", + "Ġimp rint", + "S ite", + "Ġinstall er", + "ĠT RA", + "m ology", + "lin ear", + "ĠCollect ive", + "ig ating", + "ĠT oken", + "Ġspec ulated", + "K N", + "ĠC ly", + "or ity", + "Ġdef er", + "Ġinspect ors", + "appro ved", + "R M", + "ĠSun s", + "Ġinform ing", + "ĠSy racuse", + "ib li", + "7 65", + "Ġgl ove", + "Ġauthor ize", + "âĢ¦âĢ¦âĢ¦âĢ¦ âĢ¦âĢ¦âĢ¦âĢ¦", + "ĠCru ise", + "Ġcontract ing", + "she ll", + "IF E", + "ĠJew el", + "p ract", + "ĠPhot oshop", + "ĠKnow ing", + "h arm", + "Ġattract ions", + "ad an", + "et us", + "01 8", + "w agen", + "Al t", + "Ġmultip ly", + "Ġequ ilibrium", + ": {", + "ĠF ighters", + "ĠEd gar", + "Ġfour teen", + "Go vern", + "Ġmis use", + "Ġab using", + "Ġancest ry", + "ram er", + "64 4", + "Ġwor ms", + "Ġthick er", + "ĠComb ine", + "Ġpeas ants", + "Ġv ind", + "Ġcon quest", + "Ġm ocked", + "Ġc innamon", + "ĠC ald", + "ĠGall up", + "Ġavoid ance", + "Ġincarn ation", + "ĠStr at", + "Ġt asted", + "ent a", + "ĠN eal", + "p ared", + "Ġtermin ology", + "ject ion", + "Scient ists", + "ĠIN S", + "ĠDe e", + "Ġdirect ories", + "R oad", + "ĠSh ap", + "br ight", + "ĠDirect ors", + "ĠCol umn", + "Ġb ob", + "Ġprefer ably", + "Ġgl itch", + "f urt", + "Ġe g", + "id is", + "C BC", + "Ġsur rendered", + "Ġtest ament", + "33 6", + "ug gest", + "ĠN il", + "an other", + "Ġpat hetic", + "ĠDon na", + "Ġ2 18", + "ĠA very", + "Ġwhis key", + "Ġf ixture", + "ĠCon quest", + "Ġbet s", + "O cc", + "ĠLe icester", + "] .\"", + "Ġ) );", + "Ġfl ashes", + "45 6", + "Ġmask ed", + "ge bra", + "Ġcomput ed", + "che l", + "aud er", + "Ġdefe ats", + "ĠLiber ation", + "ĠOs ama", + "ĠV ive", + "Ch anges", + "Ch annel", + "Ġtar iffs", + "Ġm age", + "ĠS ax", + "Ġinadvert ently", + "ĠC RE", + "ĠRe aper", + "ink y", + "gr ading", + "Ġstere otyp", + "Ġcur l", + "ĠF ANT", + "Ġfram eworks", + "M om", + "ĠAn ch", + "Ġflav our", + "car bon", + "Ġperm itting", + "let cher", + "ĠMo zilla", + "ĠPark ing", + "ĠCh amp", + "Sc roll", + "Ġmurd erer", + "Ġrest ed", + "Ġow es", + "ĠP oss", + "AD D", + "IF F", + "res olution", + "ĠMin ing", + "Ġcompar ative", + "D im", + "Ġneighbour ing", + "ĠA ST", + "ĠT oxic", + "Ġbi ases", + "Ġgun fire", + "ur ous", + "ĠMom ent", + "19 83", + "Ġper vasive", + "tt p", + "ĠNorm ally", + "r ir", + "S arah", + "ĠAlb any", + "Ġun sett", + "ĠS MS", + "ip ers", + "l ayer", + "ĠWh ites", + "up le", + "Ġtur bo", + "ĠLe eds", + "Ġthat s", + "ĠMin er", + "M ER", + "ĠRe ign", + "Ġper me", + "ĠBl itz", + "Ġ19 34", + "Ġintimid ating", + "t ube", + "Ġecc entric", + "ab olic", + "box es", + "ĠAssoci ates", + "v otes", + "Ġsim ulate", + "um bo", + "aster y", + "Ġship ments", + "FF FF", + "an th", + "Ġseason ed", + "Ġexperiment ation", + "âĸ ł", + "law s", + "Me et", + "idd les", + "ant ics", + "R ating", + "IS IS", + "h ift", + "Ġfront s", + "b uf", + "01 7", + "Ġun att", + "ĠD il", + "le ases", + "ĠGard ens", + "77 7", + "t ouch", + "ve ll", + "45 8", + "Ġ= ====", + "s aving", + "Ġer osion", + "ĠQu in", + "Ġearn s", + "Ġaccomplish ment", + "ĠWe i", + "Ġ< [", + "____ _", + "Ġir rig", + "ĠT eddy", + "Ġconqu ered", + "ĠArm ored", + "Ġassert s", + "Ġmanip ulating", + "r é", + "Ġtranscript s", + "G allery", + "Ġplot ting", + "Ne il", + "Ġbetray al", + "load er", + "ĠS ul", + "Ġdispl acement", + "Ġroy alty", + "ĠW I", + "he it", + "ĠDev ices", + "alle l", + "Ġmunicipal ities", + "Ġcan al", + "St ars", + "ĠU AE", + "Ġ\" âĢ¦", + "ĠC U", + "ab ove", + "Ġreson ance", + "ĠguiActive Un", + "add ed", + "ĠBra ves", + "ĠI bn", + "Ġhere by", + "ĠB RE", + "Ġshare holder", + "ĠH ir", + "ĠJ i", + "Ġstrange ly", + "Ġadm ired", + "Ġpl ight", + "Ġb achelor", + "ĠP ole", + "cipl inary", + "T ony", + "ĠArmen ian", + "Ġun man", + "ĠZion ist", + "St age", + "isco ver", + "Ġautom otive", + "Ġs idelines", + "Ġsl ick", + "ĠRena issance", + "ĠF UN", + "Im ages", + "ĠH aj", + "Ġp ing", + "Ġshort cut", + "ĠBl vd", + "ĠLook s", + "Ġbur sts", + "Ġcl amp", + "Ġm ish", + "Ġsort ing", + "Ġpatri ot", + "Ġcorrect ness", + "ĠScand inav", + "ĠCaval iers", + "p ython", + "az ar", + "Ġ3 75", + "ĠJa une", + "40 9", + "Ġdetrim ental", + "Ġstab bing", + "Ġpoison ed", + "Ġf ountain", + "oc ent", + "or st", + "ĠMar i", + "Ġr ains", + "ĠO vers", + "ĠInst itution", + "ud get", + "AM Y", + "t ale", + "ĠK R", + "ĠPr ices", + "Ġhead aches", + "Ġlands l", + "ĠA ura", + "Bon us", + "ĠZ hao", + "ĠH ip", + "Ġhop s", + "ĠKurd istan", + "Ġexplo iting", + "ry n", + "Ġhypocr isy", + "op ening", + "Ġgun shot", + "Ġw ed", + "inter stitial", + "Inter stitial", + "Ġam en", + "Bre aking", + "Ġmarket ed", + "W ire", + "ĠC rowd", + "Contin ue", + "ĠK nown", + "ĠEffect ive", + "ore an", + "iz ons", + "Jose ph", + "Ġescal ation", + "us ername", + "Ġcur tain", + "AT ES", + "ĠP AR", + "ĠM iy", + "Ġcounter fe", + "l ene", + "Ġcont enders", + "d aily", + "ĠAs c", + "ĠPhill ip", + "most ly", + "Ġfil ename", + "he ne", + "Ġresemb ling", + "Ġst aging", + "ĠCh loe", + "Ġw iring", + "H on", + "ĠRen ew", + "ott age", + "ĠHy brid", + "m uch", + "Ġstro kes", + "Ġpolicy makers", + "AP TER", + "ĠArk ham", + "pl ot", + "Ġassist ants", + "Ġde port", + "ĠSe ga", + "Ġinflu enza", + "ĠC ursed", + "ĠK obe", + "Ġskin ny", + "Prov ider", + "ĠR ip", + "Ġincrement al", + "product s", + "B F", + "Ġd ome", + "ĠC redits", + "Ġlos ers", + "int s", + "ĠBet ty", + "ĠTal ent", + "ĠD AM", + "L v", + "E ss", + "Ġd ens", + "tem p", + "J udge", + "od ic", + "Ġ' (", + "UR ES", + "ets k", + "V O", + "Ġretrie ved", + "Ġarchitect s", + "Ù ĩ", + "Ġeth ic", + "ĠSecond ary", + "st ocks", + "ad ia", + "Ġ3 25", + "ĠOp inion", + "Ġsimultane ous", + "Ġd izz", + "ul p", + "Ġsmugg ling", + "ipp ery", + "R andom", + "f acing", + "ĠD as", + "Ġstock p", + "Ġdiscl osures", + "po inter", + "Ġcor al", + "ĠSe lection", + "ĠP ike", + "ival ent", + "Ġruth less", + "ĠR im", + "Ġensu ing", + "ĠExper iment", + "Ġcongress man", + "Ġbelie ver", + "Ġun specified", + "ĠM ord", + "Ġknowledge able", + "ĠV ERY", + "T X", + "Ġstra ps", + "Ġtur f", + "apesh ifter", + "Ġmar ital", + "Ġfl ock", + "ãģ Ĩ", + "26 3", + "AM ES", + "ĠOpp osition", + "Ġtre asures", + "ĠG OD", + "Ġmodel ed", + "ĠWOR LD", + "Ġ( [", + "ĠUs age", + "H F", + "Ġ$ (", + "uss ed", + "Ġpione er", + "E ight", + "par se", + "b read", + "rit z", + "ĠMir anda", + "ĠK ant", + "++ )", + "ore n", + "Ġprov oked", + "Ġbre eds", + "ĠIn cludes", + "ĠPast ebin", + "ĠFl ip", + "J ava", + "Ġbr ink", + "Ġrum ored", + "Ġun seen", + "Ġgar nered", + "ĠDef in", + "al ted", + "Ġtatt oos", + "Ġhes itation", + "is itions", + "ĠWe aver", + "ĠReport ing", + "Ġtherap ies", + "Ġconsult ants", + "Ġresid ual", + "ĠMal i", + "ĠRom a", + "i ago", + "ĠRes idents", + "ub i", + "Ġremed ies", + "Ġadapt ive", + "ĠAl ive", + "ĠBar cl", + "Ġwal lets", + "c rypt", + "etermin ation", + "ĠPel osi", + "Ġsl ipping", + "oton in", + "Ġall iances", + "pat rick", + "ir is", + "Ġor th", + "ĠPer kins", + "ĠDe V", + "ĠG ets", + "Ġdry ing", + "ge e", + "fore st", + "ĠFor get", + "ore m", + "33 9", + "Ġvague ly", + "ĠD ion", + "ĠP orn", + "ĠH OW", + "Ġp neum", + "Ġrub ble", + "ĠT aste", + "enc ia", + "ĠG el", + "Ġd st", + "Ġ24 5", + "ĠMoroc co", + "inf lamm", + "ĠTw ins", + "Ġb ots", + "d aughter", + "ĠB alk", + "Ġbre thren", + "Ġlog os", + "Ġgo bl", + "f ps", + "Ġsub division", + "Ġp awn", + "Ġsquee zed", + "Ġmor ale", + "ĠD W", + "' \"", + "Ġkn ot", + "ook y", + "Ġdiv isive", + "Ġboost ed", + "ch y", + "ãĥ IJ", + "if act", + "Ġnewcom ers", + "ĠWrest ling", + "Ġsc outs", + "w olves", + "R at", + "Ġnin eteenth", + "ĠOs borne", + "St ats", + "Ġem powered", + "Ġpsych opath", + "ĠO EM", + "ugg age", + "ĠP K", + "ĠMoh ammad", + "P ak", + "Ġanarch ists", + "ĠExt ract", + "est hes", + "ĠStock holm", + "l oo", + "ĠG raph", + "Ġdeploy ing", + "ĠStr anger", + "ĠM old", + "Ġstaff er", + "Ġdiscount ed", + "uck le", + "ple ase", + "ĠLand ing", + "ÃŃ a", + "Ġ19 3", + "Ġan te", + "Ġrep etition", + "Ġ+ /-", + "Ġpar ody", + "Ġlive ly", + "AA A", + "ĠHor us", + "Ġp its", + "ind ers", + "L OC", + "ĠVen ice", + "40 6", + "ĠDis cover", + "â Ĩ", + "ellect ual", + "Ġp ens", + "Ġey el", + "ig uous", + "Im pl", + "Ġj oking", + "Ġinv al", + "ĠBel fast", + "Ġcredit ors", + "ĠSky walker", + "ov sky", + "Ġcease fire", + "Ġse als", + "is oft", + ") ).", + "ĠFel ix", + "IT S", + "Ġt resp", + "ĠBlock chain", + "ew are", + "ĠSch war", + "en ne", + "mount ed", + "ĠBe acon", + "les h", + "Ġimmense ly", + "Ġche ering", + "Em ploy", + "sc ene", + "ish ly", + "atche wan", + "ĠNic olas", + "Ġdr ained", + "ĠEx it", + "ĠAz erb", + "j un", + "Ġflo ated", + "u ania", + "De ep", + "Ġsuper v", + "Ġmyst ical", + "ĠD ollar", + "ĠApost le", + "ĠR EL", + "ĠProv ided", + "ĠB ucks", + "ãĥ ´", + "cut ting", + "Ġenhance ments", + "ĠPengu ins", + "ĠIsa iah", + "Ġj erk", + "ĠW yn", + "Ġst alled", + "Ġcryptoc urrencies", + "ĠR oland", + "sing le", + "Ġl umin", + "ĠF ellow", + "ĠCap acity", + "ĠKaz akh", + "W N", + "Ġfin anced", + "38 9", + "Ġt id", + "Ġcoll usion", + "ĠMy r", + "î Ģ", + "Sen ator", + "Ġped iatric", + "Ġneat ly", + "Ġsandwic hes", + "ĠArchitect ure", + "Ġt ucked", + "Ġbalcon y", + "Ġearthqu akes", + "qu ire", + "F uture", + "Ġhe fty", + "é Ĺ", + "Ġspecial izes", + "Ġstress es", + "Ġs ender", + "Ġmisunder standing", + "Ġep ile", + "Ġprov oke", + "ĠCol ors", + "Ġdis may", + "uk o", + "[ _", + "58 6", + "ne utral", + "Ġdon ating", + "ĠRand all", + "Mult i", + "Ġconvenient ly", + "ĠS ung", + "ĠC oca", + "Ġt ents", + "ĠAc celer", + "Ġpart nered", + "27 2", + "ir ming", + "ĠB AS", + "s ometimes", + "Ġobject ed", + "ub ric", + "p osed", + "LC S", + "gr ass", + "Ġattribut able", + "V IS", + "Israel i", + "Ġrepe ats", + "ĠR M", + "v ag", + "ut a", + "in ous", + "Ġin ert", + "ĠMig uel", + "æ Ń", + "ĠHawai ian", + "B oard", + "Ġart ific", + "ĠAzerb ai", + "as io", + "ĠR ent", + "A IN", + "Ġappl iances", + "Ġnational ity", + "Ġass hole", + "ĠN eb", + "Ġnot ch", + "h ani", + "ĠBr ide", + "Av ailability", + "Ġintercept ed", + "Ġcontin ental", + "Ġsw elling", + "ĠPers pect", + "b ies", + ". <", + "ith metic", + "ĠL ara", + "Ġtempt ing", + "add r", + "Ġoversee ing", + "cl ad", + "ĠD V", + "ĠGing rich", + "Ġm un", + "ĠApp ropri", + "Ġalter ations", + "ĠPat reon", + "Ġha voc", + "Ġdiscipl ines", + "Ġnotor iously", + "aku ya", + "ier i", + "? ).", + "ĠW ent", + "Ġsil icon", + "Ġtre mb", + "Cont ainer", + "K nown", + "Ġmort ar", + "est e", + "ick a", + "Ar thur", + "ĠPre viously", + "ĠMart y", + "Ġsp arse", + "g ins", + "Ġin ward", + "ĠParticip ant", + "C opy", + "ĠM isc", + "Ġantib iotic", + "ĠRet ro", + "Ġel usive", + "Ġass ail", + "ĠBatt alion", + "ĠB ought", + "Ġdimin ish", + "ĠEuro pa", + "s ession", + "ĠDanger ous", + "ies el", + "Ġdisbel ief", + "Ġbl asts", + "ext reme", + "ĠBoy d", + "ĠProject s", + "ĠGu ys", + "Ġunder gone", + "Ġgr ill", + "ĠDw ight", + "Ġ19 7", + "US ER", + "Ġfiles ystem", + "Ġcl ocks", + "T aylor", + "Ġwra pper", + "Ġfold ing", + "ous and", + "ĠPhilipp ine", + "ATION AL", + "ĠPer th", + "Ġas hes", + "Ġaccum ulate", + "ĠGate way", + "Sh op", + "orks hire", + "H an", + "ĠBar rel", + "ĠLe h", + "ĠX V", + "Ġwh im", + "Ġrep o", + "ĠC G", + "ĠM am", + "Ġincorpor ating", + "Ġbail out", + "Ġlingu istic", + "Ġdis integ", + "C LE", + "Ġcinem atic", + "ĠF iber", + "S yn", + "il ion", + "ĠCom pos", + "c hens", + "Ġne oc", + "Ġbo iled", + "F INE", + "on o", + "un cle", + "ik en", + "ĠB M", + "Î ¹", + "Ġreceipt s", + "Ġdisp osed", + "ĠTh irty", + "ĠR ough", + "ĠA BS", + "Ġnot withstanding", + "oll en", + "# $", + "Ġunrel iable", + "Ġbl oom", + "Ġmedi ocre", + "Ġtr am", + "ĠTas man", + "Ġsh akes", + "Ġmanifest o", + "ĠM W", + "Ġsatisf actory", + "Ġsh ores", + "Ġcomput ation", + "Ġassert ions", + "orm ons", + "ar ag", + "ab it", + "Dem ocrats", + "ĠL oot", + "ĠVol ks", + "ha ired", + "Ġgrav itational", + "S ing", + "ĠM iz", + "Ġthro ttle", + "Ġtyr anny", + "ĠView s", + "Ġrob ber", + "ĠMinor ity", + "Ġsh rine", + "sc ope", + "pur pose", + "Ġnucle us", + "our cing", + "ĠUS DA", + "ĠD HS", + "w ra", + "ĠBow ie", + "Sc ale", + "ĠB EL", + "x i", + "I ter", + "Ġ( ),", + "w right", + "Ġsail ors", + "ous ed", + "NAS A", + "ĠPro of", + "ĠMin eral", + "t oken", + "ĠF D", + "R ew", + "Ġe ll", + "6 30", + "Ġchance llor", + "ĠG os", + "Ġamount ed", + "ĠRec re", + "ome z", + "ĠOpt im", + "ĠOl ive", + "Ġtrack er", + "ow ler", + "ĠUn ique", + "R oot", + "Ġmar itime", + "ĠQur an", + "ĠAd apt", + "Ġecosystem s", + "ĠRe peat", + "ĠS oy", + "ĠI MP", + "Ġgrad uating", + "and em", + "P ur", + "ĠRes et", + "ĠTr ick", + "ĠPh illy", + "ĠT ue", + "ĠMalays ian", + "Ġclim ax", + "Ġb ury", + "Ġcons pic", + "ĠSouth ampton", + "ĠFl owers", + "Ġesc orted", + "ĠEduc ational", + "ĠI RC", + "Ġbrut ally", + "e ating", + "Ġpill ar", + "ĠS ang", + "ĠJ ude", + "ar ling", + "ĠAm nesty", + "Ġrem inding", + "ĠAdminist rative", + "hes da", + "Ġfl ashed", + "ĠP BS", + "per ate", + "fe ature", + "Ġsw ipe", + "Ġgra ves", + "oult ry", + "26 1", + "bre aks", + "ĠGu er", + "Ġsh rimp", + "ĠV oting", + "qu ist", + "Ġanaly tical", + "Ġtables poons", + "ĠS OU", + "Ġresear ched", + "Ġdisrupt ed", + "Ġj our", + "Ġrepl ica", + "Ġcart oons", + "b ians", + "} )", + "c opy", + "G ot", + "ou ched", + "P UT", + "Ġsw arm", + "not ations", + "s aid", + "Ġreb uilt", + "Ġcollabor ate", + "Ġr aging", + "Ġn ar", + "Ġdem ographics", + "ĠD DR", + "Ġdist rust", + "oss ier", + "ĠK ro", + "Ġpump kin", + "Ġreg rets", + "Ġfatal ities", + "ĠL ens", + "ĠO le", + "p d", + "Ġpupp et", + "ĠOut look", + "ĠSt am", + "O l", + "F air", + "U U", + "Ġre written", + "Ä ±", + "Ġfasc inated", + "Ġve ctors", + "Ġtrib unal", + "u ay", + "ĠM ats", + "ĠCo ins", + "[ [", + "Ġ18 1", + "Ġrend ers", + "ĠK aepernick", + "Ġesp ionage", + "Ġsum m", + "Ġd itch", + "Acc ount", + "Ġspread sheet", + "Ġmut ant", + "p ast", + "40 7", + "Ġd ye", + "Ġinit iation", + "Ġ4 000", + "Ġpunish able", + "Ġth inner", + "ĠKh al", + "Ġinter medi", + "D un", + "ĠGoth am", + "Ġeager ly", + "Ġvag inal", + "p owers", + "V W", + "ĠWATCH ED", + "Ġpred ator", + "ams ung", + "Ġdispar ity", + "Ġ[ *", + "Ġam ph", + "Ġout skirts", + "ĠSpir its", + "Ġskelet al", + "Ð »", + "ĠR ear", + "Ġissu ance", + "ĠLog ic", + "re leased", + "Z Z", + "ĠB ound", + "Ent ry", + "Ġex its", + "is ol", + "ĠFound er", + "Ġw re", + "ĠGreen land", + "ĠM MO", + "t aker", + "IN C", + "ãģ ¾", + "Ġhour ly", + "hen ko", + "Ġfantas ies", + "Ġdis ob", + "Ġdemol ition", + "ãĥ ĭ", + "Ġen listed", + "rat ulations", + "Ġmis guided", + "Ġens ured", + "Ġdiscour aged", + "m ort", + "Ġfl ank", + "Ġc ess", + "Ġreact s", + "ĠS ere", + "s ensitive", + "ĠSer pent", + "ass ad", + "Ġ24 7", + "Ġcalm ly", + "b usters", + "Ġble ed", + "ĠSt ro", + "Ġamuse ment", + "ĠAntar ctica", + "Ġs cept", + "ĠG aw", + "a q", + "ason ic", + "Ġsp rawling", + "n ative", + "atur ated", + "ĠBattle field", + "IV ERS", + "E B", + "ĠG ems", + "ĠNorth western", + "ĠFil ms", + "ĠAut omatic", + "Ġappre hend", + "ãģ ¨", + "Ġgui Name", + "Ġback end", + "Ġevid enced", + "ge ant", + "01 2", + "ĠS iege", + "Ġexternal To", + "Ġunfocused Range", + "ĠguiActiveUn focused", + "Ġgui Icon", + "ĠexternalTo EVA", + "ĠexternalToEVA Only", + "F ri", + "ch ard", + "en aries", + "Ġchief s", + "Ġc f", + "ĠH UD", + "Ġcorro bor", + "Ġd B", + "ĠT aken", + "ĠPat ricia", + "ra il", + "ĠCh arm", + "ĠLiber tarian", + "rie ve", + "Person al", + "ĠO UR", + "ger ies", + "Ġdump ing", + "Ġneurolog ical", + "it imate", + "ĠClint ons", + "raft ed", + "ĠM olly", + "Ġtermin als", + "reg ister", + "Ġfl are", + "Ġenc oded", + "Ġautop sy", + "p el", + "m achine", + "Ġexempt ions", + "ĠRoy als", + "d istance", + "Ġdraft s", + "Ġl ame", + "ĠC unning", + "Ġsp ouses", + "ĠMark ets", + "ĠCar rier", + "Ġimp lying", + "ĠY ak", + "s id", + "Ġl oser", + "Ġvigil ant", + "Ġimpe achment", + "Ġaug mented", + "ĠEmploy ees", + "Ġunint ended", + "tern ally", + "ĠW att", + "Ġrecogn izable", + "ess im", + "æ Ŀ", + "Ġco ated", + "r ha", + "Ġlie utenant", + "ĠLegisl ation", + "pub lished", + "44 4", + "01 3", + "Ġide ally", + "ĠPass word", + "Ġsimpl ify", + "ĠMet a", + "ĠM RI", + "Ġple ading", + "organ ized", + "hand ler", + "Ġun ravel", + "cor rect", + "Ġ icy", + "Ġparan oid", + "Ġpass er", + "Ġinspect ions", + "of er", + "ĠHealth care", + "28 3", + "ĠBr ut", + "iol a", + "for ge", + "ĠMed ieval", + "MS N", + "ie vers", + "ĠProgram ming", + "å ī", + "Ġ2 23", + "m u", + "ĠC LE", + "ug a", + "Ġsho ppers", + "Ġinform ative", + "ĠPl ans", + "Ġsupplement ation", + "ĠT ests", + "ty ard", + "ocy tes", + "ĠVeg a", + "ĠGujar at", + "erman ent", + "Ex cept", + "ĠL OT", + "all a", + "ĠC umm", + "ĠO sw", + "Ġven om", + "ĠDeb t", + "ĠD OWN", + "Ġreun ion", + "Ġm uc", + "ĠRel ief", + "Ġge op", + "ĠðŁ ĺ", + "al ogue", + "An th", + "ech o", + "Ġcor ros", + "Ġrepl ication", + "ĠBl azing", + "ĠD aughter", + "Ġinf lic", + "ĠLind sey", + "Ù Ī", + "28 4", + "Ex it", + "Ġgl oom", + "TA IN", + "Ġundermin ing", + "Ġadv ising", + "h idden", + "Ġover flow", + "Ġg or", + "urd ue", + "Ġe choes", + "enh agen", + "Ġimp uls", + "d rug", + "c ash", + "Ġas ync", + "Ġmir ac", + "at ts", + "p unk", + "Ġpiv ot", + "ĠLegisl ative", + "Ġblog gers", + "ĠCl aw", + "s burg", + "d yl", + "ĠRecomm end", + "Ġver te", + "Ġprohib iting", + "ĠPant her", + "Jon athan", + "Ġo min", + "Ġhate ful", + "28 1", + "ĠOr che", + "ĠMurd och", + "down s", + "Ġas ymm", + "G ER", + "Al ways", + "Ġinform s", + "ĠW M", + "ĠP ony", + "ĠApp endix", + "ĠAr lington", + "J am", + "Ġmedic inal", + "ĠS lam", + "IT IES", + "Ġre aff", + "ĠR i", + "F G", + "S pring", + "b ool", + "Ġthigh s", + "Ġmark ings", + "ĠRa qqa", + "ĠL ak", + "p oll", + "ts ky", + "ĠMort y", + "ĠDef inition", + "Ġdeb unk", + "end ered", + "ĠLe one", + "a vers", + "Ġmortg ages", + "App arently", + "N ic", + "ha us", + "ĠTh ousands", + "au ld", + "Ġm ash", + "sh oot", + "Ġdi arr", + "Ġconscious ly", + "H ero", + "e as", + "ĠN aturally", + "ĠDestroy er", + "Ġdash board", + "serv ices", + "R og", + "Ġmillenn ials", + "Ġinv ade", + "- (", + "Ġcomm issions", + "ĠA uckland", + "Ġbroadcast s", + "Ġfront al", + "Ġcr ank", + "ĠHist oric", + "Ġrum ours", + "CT V", + "Ġster il", + "Ġboost er", + "rock et", + "ãĤ ¼", + "ut sche", + "ĠP I", + "Ġ2 33", + "ĠProdu cer", + "ĠAnaly tics", + "Ġinval uable", + "Ġunint ention", + "ĠC Y", + "Ġscrut in", + "Ġg igg", + "Ġeng ulf", + "Ġprolet ariat", + "Ġh acks", + "ĠH ew", + "ar ak", + "ĠSl ime", + "ield ing", + "ag her", + "ĠEll iot", + "Ġtele com", + "Ġ2 19", + "ult an", + "ĠAr bor", + "ĠSc outs", + "B an", + "Ġlifes pan", + "Ġbl asp", + "38 8", + "Ġjud iciary", + "ĠContin ental", + "ask ing", + "Mc C", + "L ED", + "Ġbag gage", + "ĠSorce rer", + "Ġrem nants", + "ĠGriff ith", + "ets u", + "ĠSub aru", + "ĠPerson ality", + "des igned", + "ush ima", + "agn ar", + "Ġrec oil", + "Ġpass ions", + "\\ \":", + "Ġte e", + "Ġabol ition", + "ĠCreat ing", + "j ac", + "Ġ19 4", + "01 9", + "Ġpill ars", + "ric hed", + "/ \"", + "t k", + "Ġlive lihood", + "Ġro asted", + "ah on", + "ĠH utch", + "ass ert", + "Ġdivid end", + "Ġkn it", + "Ġd aunting", + "Ġdisturb ance", + "Ġsh ale", + "Ġcultiv ated", + "Ġrefriger ator", + "L B", + "ĠN ET", + "Ġcommercial s", + "Ġthink ers", + "45 5", + "Ġch op", + "B road", + "Ġsuspic ions", + "Ġtag ged", + "l ifting", + "Ġsty lish", + "ĠShield s", + "Short ly", + "Ġt ails", + "A uth", + "ST E", + "ĠG AME", + "Ġse ism", + "ĠK is", + "olog ne", + "Ġcow ork", + "Ġforc ibly", + "Ġthy roid", + "ĠP B", + "AN E", + "mar ried", + "h orse", + "Ġpoly mer", + "ĠCh al", + "od or", + "DE BUG", + "ĠCon text", + "Ġbl iss", + "Ġpin point", + "ĠMat hemat", + "leg ram", + "ĠWeek end", + "Ġlab elled", + "Ġb art", + "it les", + "Ġest rogen", + "âĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶ âĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶ", + "\" '", + "Ġvis ibly", + "Ġouts ider", + "aid a", + "Are a", + "Ġdisse min", + "Ġdish onest", + "ĠCl osed", + "ĠBullet in", + "ĠRam sey", + "sw ord", + "ĠX I", + "our ced", + "S ame", + "34 6", + "ĠRe pe", + "ĠK ou", + "c ake", + "em is", + "C ache", + "ĠMe aning", + "ĠEn light", + "onom y", + "Ġmanifest ation", + "sw orth", + "J ay", + "Ġch ore", + "ö r", + "D ream", + "Ġsanction ed", + "Ġcult urally", + "ĠA ra", + "N av", + "Ġthe ological", + "Ġstr ut", + "ĠV O", + "ĠHand book", + "Ġconstruct ing", + "Ġ ¶", + "ĠBenef its", + "ĠPsych ological", + "s ac", + "å ¸", + "p olicy", + "ĠMat ters", + "ĠReport ed", + "ĠBy te", + "Ġvit ro", + "ĠM aiden", + "Ġl am", + "ĠJenn ings", + "Ġgar ment", + "ĠRut gers", + "ĠStaff ord", + "ĠWell ington", + "Ġinter mitt", + "Ġn pm", + "Ġord eal", + "Ġplug ged", + "o oming", + "in ished", + "fram ework", + "Ġtim ber", + "Ġc ass", + "Ġ8 50", + "il ess", + "ĠRed ux", + "7 68", + "St re", + "Ġsurpass ed", + "w hel", + "Ġparalle ls", + "Ġve il", + "ĠG I", + "ĠR EST", + "Ġread iness", + "s ort", + "Ġmod ifying", + "ĠSl ate", + "ru ff", + "Ġmar ble", + "Ġinf rared", + "Ġaud itor", + "ĠFANT ASY", + "ĠP overty", + "ĠS PD", + "Ġ\" (", + "K y", + "RA Y", + "Ġexecut ions", + "ĠBever ly", + "ĠMarx ism", + "ĠBur st", + "ĠK ali", + "est ones", + "Clear ly", + "E ll", + "ãģ §", + "ĠProceed ings", + "T oken", + "IF IC", + "ñ a", + "Cent ral", + "ĠH aley", + "ĠD rama", + "Ġform ations", + "OR N", + "Book s", + "Ġdom inating", + "ĠFly ers", + "ĠCompan ion", + "Ġdiscipl ined", + "ĠYug oslav", + "ĠSpell s", + "Ġv engeance", + "Ġland lords", + "L en", + "ĠO gre", + "ano ia", + "Ġpier cing", + "Ġcon greg", + "Ġscore r", + "ob ia", + "Ġnic kel", + "ĠLear ns", + "Ġre jo", + "Ġmaster piece", + "Fl ash", + "Ġinhab ited", + "ĠOpen GL", + "ĠD ud", + "ĠI CO", + "Ġar ter", + "Ġpl ur", + "Ġmaster y", + "Ġlong standing", + "st ed", + "Ġw ines", + "Ġtelev ised", + "ĠSh rine", + "ĠBay ern", + "Ġâ ĵĺ", + "Ġencl osure", + "j ohn", + "Ġprophe ts", + "ĠRes urrection", + "ĠOrd ers", + "Ġun even", + "r als", + "Ġd wind", + "ĠL ah", + "ĠSl oven", + "37 8", + "Ġins istence", + "aff le", + "ĠCl one", + "Ġhard ship", + "ĠCongress man", + "Ġple ad", + "Ġreview ers", + "Ġc ured", + "Ġ19 35", + "as ley", + "f ake", + "ĠTh inking", + "yd ia", + "P ART", + "ĠD ota", + "o it", + "Ġwh ipped", + "Ġb ouncing", + "ĠHispan ics", + "com ings", + "Ġcann abin", + "ĠCh ambers", + "ĠZ ack", + "Option al", + "Ġco ats", + "Ġprow ess", + "ĠNort on", + "Ġplain ly", + "Ġfre ight", + "Ġinhib ition", + "Ġcl am", + "Ġ30 3", + "ke f", + "ale igh", + "L uke", + "Ġpsych o", + "ator ium", + "M ED", + "Ġtreat ies", + "Ġind isc", + "Ġd c", + "OP S", + "Ġresil ient", + "ĠInter state", + "Ġsl ack", + "Ġmund ane", + "Ġestab lishes", + "35 9", + "Ġstr ained", + "Ġn ond", + "S us", + "Ġcast e", + "ar ate", + "ie ving", + "Ġunfair ly", + "Ġpars er", + "on ial", + "urs ive", + "V ia", + "ĠOtt o", + "ĠAuthor ities", + "stro ke", + "K R", + "ĠMer cy", + "Ġfurn ished", + "Ġout set", + "Ġmet ic", + "19 82", + "olith ic", + "ĠT ent", + "og ical", + "ĠA ircraft", + "Ġh ides", + "ĠBec ame", + "Ġeduc ators", + "re aching", + "Ġvol atility", + "Ġtodd ler", + "ĠNAS CAR", + "ĠTw elve", + "ĠHigh lights", + "Ġgra pe", + "Ġspl its", + "Ġpe asant", + "Ġre neg", + "ĠMS I", + "Tem p", + "st ars", + "Ġtre k", + "ĠHy de", + "b inding", + "Ġreal ism", + "Ġox ide", + "ĠH os", + "Ġmount s", + "Ġbit ing", + "Ġcollaps ing", + "Ġpost al", + "Ġmuse ums", + "Ġdet ached", + "Ġrespect ing", + "Ġmonop ol", + "Ġwork flow", + "ĠC ake", + "Tem plate", + "ĠOrgan isation", + "Ġpers istence", + "36 9", + "C oming", + "B rad", + "Ġredund ant", + "ĠG TA", + "Ġb ending", + "Ġrev oked", + "Ġoff ending", + "Ġfram ing", + "Ġprint f", + "Comm un", + "mem bers", + "Out side", + "Ġconst rued", + "Ġc oded", + "F ORE", + "Ġch ast", + "Ch at", + "Ind ian", + "ĠY ard", + "? !\"", + "ĠP orts", + "ĠX avier", + "ĠR ET", + "' .\"", + "ĠBo at", + "iv ated", + "ich t", + "umer able", + "D s", + "ĠDun n", + "Ġcoff in", + "Ġsecure ly", + "ĠRapt ors", + "ĠB es", + "Install ation", + "Ġin ception", + "ĠHealth y", + "end ants", + "Ġpsych ologists", + "ĠShe ikh", + "c ultural", + "ĠBlack Berry", + "sh ift", + "F red", + "oc he", + "Ġc akes", + "ĠS EO", + "ĠG ian", + "ĠAs ians", + "og ging", + "e lement", + "Ġpund its", + "ĠV augh", + "ĠG avin", + "Ġh itter", + "Ġdrown ed", + "Ġch alk", + "ĠZ ika", + "Ġmeas les", + "80 2", + "âĢ¦ ..", + "ĠAW S", + "] \"", + "Ġdist ort", + "ĠM ast", + "Ġantib odies", + "ĠM ash", + "Mem ory", + "ĠUg anda", + "ĠPro b", + "Ġvom iting", + "ĠTurn s", + "Ġoccup ying", + "Ġev asion", + "ĠTher apy", + "Ġprom o", + "Ġelect r", + "Ġblue print", + "ĠD re", + "pr iced", + "ĠDep ot", + "Ġallev iate", + "ĠSom ali", + "m arg", + "n ine", + "Ġnostalg ia", + "ĠShe pherd", + "Ġcaval ry", + "Ġtor ped", + "ĠBlood y", + "x b", + "Ġs ank", + "Ġgo alt", + "report print", + "embed reportprint", + "clone embedreportprint", + "ĠIn itially", + "ĠF ischer", + "Ġnot eworthy", + "c ern", + "Ġin efficient", + "raw download", + "rawdownload cloneembedreportprint", + "c ation", + "ĠD ynasty", + "l ag", + "D ES", + "Ġdistinct ly", + "ĠEston ia", + "Ġopen ness", + "Ġg ossip", + "ru ck", + "W idth", + "ĠIb rahim", + "Ġpet roleum", + "Ġav atar", + "ĠH ed", + "ath a", + "ĠHog warts", + "Ġc aves", + "67 8", + "Ġsafegu ard", + "ĠM og", + "iss on", + "ĠDur ham", + "sl aught", + "ĠGrad uate", + "Ġsub conscious", + "ĠEx cellent", + "ĠD um", + "---- -", + "Ġp iles", + "ĠW ORK", + "ĠG arn", + "ĠF ol", + "ĠAT M", + "Ġavoid s", + "ĠT ul", + "Ġble ak", + "EL Y", + "iv ist", + "light ly", + "P ers", + "ĠD ob", + "ĠL S", + "Ġins anity", + "Î µ", + "atal ie", + "En large", + "Ġtw ists", + "Ġfault y", + "Ġpir acy", + "Ġimp over", + "Ġrug ged", + "ĠF ashion", + "Ġs ands", + "' ?", + "sw ick", + "Ġn atives", + "Ġhe n", + "ĠNo ise", + "ãĥ Ĺ", + "Ġg reens", + "Ġfree zer", + "Ġd ynasty", + "ĠFather s", + "ĠNew ark", + "Ġarchae ological", + "Ġo t", + "ob ar", + "Ġblock ade", + "Ġall erg", + "L V", + "Ġdeb it", + "ĠR FC", + "ĠMil ton", + "ĠPress ure", + "Ġwill ingly", + "Ġdisproportion ate", + "Ġopp ressive", + "Ġdiamond s", + "Ġbelong ings", + "19 70", + "Ġbell s", + "Ġimperial ism", + "Ġ2 27", + "Ġexpl oding", + "ĠE clipse", + "Ġ19 19", + "Ġr ant", + "Ġnom inations", + "34 7", + "Ġpeace fully", + "ric a", + "ĠF UCK", + "Ġvib ration", + "mal ink", + "Ġro pes", + "ĠIv anka", + "ĠBrew ery", + "ĠBook er", + "ĠOw ens", + "go ers", + "Serv ices", + "ĠSn ape", + "Ġ19 1", + "39 5", + "Ġ2 99", + "just ice", + "Ġb ri", + "Ġdisc s", + "Ġprom inently", + "Ġvul gar", + "Ġsk ipping", + "l ves", + "Ġtsun ami", + "37 4", + "ĠU rug", + "ĠE id", + "rec ated", + "p hen", + "Ġfault s", + "ĠStart ed", + "9 50", + "Ġp i", + "Ġdetect or", + "Ġbast ard", + "Ġvalid ated", + "Space Engineers", + "OUR CE", + "Ġ( ~", + "Ġuns ur", + "Ġaff irmed", + "Ġfasc ism", + "Ġres olving", + "ĠCh avez", + "ĠC yn", + "Ġdet ract", + "L ost", + "Ġrig ged", + "Ġhom age", + "ĠBrun o", + "55 5", + "ec a", + "Ġpress es", + "Ġhum our", + "Ġsp acing", + "Ġ' /", + "olk ien", + "C oun", + "OP ER", + "T re", + "S on", + "ĠCambod ia", + "ier re", + "m ong", + "o zy", + "Ġliquid ity", + "ĠSov iets", + "ĠFernand o", + "Ġ2 29", + "Ġsl ug", + "ĠCatal an", + "elect ric", + "Ġsc enery", + "ĠH earth", + "Ġconst rained", + "Ġgoal ie", + "ĠGu idelines", + "ĠAm mo", + "ĠPear son", + "Ġtax ed", + "Ġfet us", + "Resp onse", + "ĠAlex is", + "th ia", + "G uy", + "Ġrecon struct", + "Ġextrem es", + "Ġconclud ing", + "ĠP eg", + "ook s", + "Ġded uctions", + "R ose", + "Ġground breaking", + "ĠT arg", + "ãĥ ģ", + "ĠRe ve", + "res ource", + "Ġmo ons", + "Ġelectrom agnetic", + "Ġamid st", + "ĠVik tor", + "N ESS", + "B ACK", + "Ġcomm ute", + "ĠAna heim", + "Ġfluct uations", + "6 40", + "Ġnood les", + "ĠCop enhagen", + "ĠT ide", + "ĠGri zz", + "ĠS EE", + "Ġpip elines", + "Ġsc ars", + "end o", + "ag us", + "ĠE TF", + "/ #", + "ĠBec ome", + "44 8", + "Ġvis c", + "ĠRecomm ended", + "Ġj umper", + "Ġcogn ition", + "Ġassass in", + "Ġwitness ing", + "ĠSet up", + "Ġl ac", + "v im", + "IS M", + "p ages", + "SS L", + "35 8", + "Ġad ject", + "indust rial", + "l ore", + "cher y", + "Ġgl itter", + "Ġc alf", + "Flor ida", + "Ġspoil ers", + "Ġsucceed s", + "Ġch anting", + "Ġslog ans", + "ĠTr acy", + "Vis it", + "rol ogy", + "Ġm ornings", + "Ġline age", + "Ġs ip", + "Ġintense ly", + "Ġflour ish", + "ĠSle eping", + "ĠF em", + "or por", + "ĠK lan", + "ĠDar th", + "h ack", + "ĠNi elsen", + "Ġtum ors", + "Ġprocure ment", + "ĠY orkshire", + "Ġra ided", + "K Y", + "An na", + "Ġ// [", + "ĠDis order", + "ĠMust ang", + "ĠW en", + "ĠTry ing", + "s q", + "Ġdeliver ies", + "Ġshut ter", + "Ġcere bral", + "Ġbip olar", + "ĠC N", + "l ass", + "j et", + "Ġdeb ating", + "> :", + "Ġe agle", + "gr ades", + "ĠD ixon", + "UG C", + "M AS", + "ĠDr aco", + "ĠMach ines", + "aff er", + "Ġem an", + " ²", + "pr on", + "ĠG ym", + "Ġcompar atively", + "ĠTrib unal", + "PR O", + "Ġle x", + "Ġfert ile", + "Ġdep ressing", + "Ġsuperf icial", + "ess ential", + "ĠHun ters", + "g p", + "Ġprom inence", + "L iber", + "ĠAn cest", + "ote chnology", + "Ġm ocking", + "ĠTra ff", + "ĸ ļ", + "Med ium", + "I raq", + "Ġpsychiat rist", + "Quant ity", + "ĠL ect", + "Ġno isy", + "5 20", + "G Y", + "Ġsl apped", + "ĠM TV", + "Ġpar a", + "p ull", + "Mult iple", + "as her", + "Ġn our", + "ĠSe g", + "Spe ll", + "v ous", + "ord ial", + "Sen ior", + "ĠGold berg", + "ĠPl asma", + "ne ed", + "Ġmess enger", + "ere t", + "Ġteam ed", + "Ġliter acy", + "ĠLe ah", + "ĠD oyle", + "Ġem itted", + "U X", + "Ġev ade", + "Ġm aze", + "Ġwrong ly", + "ĠL ars", + "Ġstere otype", + "Ġpled ges", + "Ġarom a", + "ĠM ET", + "Ġac re", + "ĠO D", + "Ġf f", + "Ġbrew eries", + "ĠH ilton", + "und le", + "ĠK ak", + "ĠThank fully", + "ĠCan ucks", + "in ctions", + "ĠApp ears", + "Ġco er", + "Ġundermin ed", + "ro vers", + "And re", + "Ġbl aze", + "um ers", + "Ġfam ine", + "amp hetamine", + "ulk an", + "Am ount", + "Ġdesper ation", + "wik ipedia", + "develop ment", + "ĠCor inth", + "uss ia", + "Jack son", + "L I", + "N ative", + "R s", + "Oh io", + "ĠKath leen", + "F ortunately", + "Ġattend ant", + "ĠPre ferred", + "ĠDid n", + "ĠV s", + "M is", + "Ġrespond ent", + "Ġb oun", + "st able", + "Ġp aved", + "Ġunex pl", + "ĠChe ney", + "L M", + "ĠC ull", + "bl own", + "Ġconfront ing", + "oc ese", + "serv ing", + "W i", + "ĠLith uania", + "ann i", + "Ġst alk", + "h d", + "Ġv ener", + "AP H", + "ynchron ous", + "UR R", + "um ably", + "hist oric", + "H alf", + "H ay", + "Ġresil ience", + "spe ction", + "Ġabandon ing", + "O bs", + "ĠDeb bie", + "Ġgrad ient", + "ĠPl aint", + "ĠCan al", + "AR CH", + "Ġexpans ive", + "Ġfun g", + "Ġb ounced", + "U nd", + "Ġprec autions", + "Ġclar ification", + "Ġd agger", + "Ġgri ps", + "Ġ µ", + "ĠRiver a", + "ĠUnd ead", + "is ites", + "ĠFIR ST", + "ñ o", + "aud i", + "Ġhost ages", + "Ġcompl iant", + "Ġal umni", + "Se ven", + "Ġcyber security", + "e ither", + "Col lect", + "Ġinvari ably", + "ĠS oci", + "Ġlaw maker", + "Ġa le", + "ĠPerson ally", + "N azi", + "Ġcustom ization", + "ĠPro c", + "ĠSask atchewan", + "eat uring", + "Ġsp ared", + "Ġdiscontin ued", + "Ġcomput ational", + "ĠMotor ola", + "Ġsuprem acist", + "government al", + "Ġparad ise", + "ĠDown ing", + "ĠNik on", + "Ġcat alyst", + "ber ra", + "Tor onto", + "8 75", + "bet a", + "ĠMac ron", + "Ġunreal istic", + "ve ctor", + "ĠVeh icles", + "it iveness", + "ĠR V", + "ĠCol bert", + "s in", + "o ji", + "ent in", + "ĠKr ish", + "hell o", + "ff ield", + "ok y", + "ĠT ate", + "Ġmap le", + "Ġa ids", + "chem ical", + "33 4", + "n uts", + "ĠWar p", + "Ġx x", + "ĠRob b", + "umer ous", + "_- _", + "ft ime", + "ĠV W", + "Ġw inger", + "ĠD ome", + "t ools", + "ĠP V", + "ĠGe orgetown", + "Ġg eared", + "Ġjihad ists", + "Ġc p", + "Ġster oids", + "M other", + "cler osis", + "ĠDR M", + "nes ia", + "Ġl inger", + "Ġimm ersive", + "ĠC OUN", + "Ġoutwe igh", + "ens ual", + "B and", + "Ġtransform s", + "mat ched", + "ps ons", + "ĠJud icial", + "f actor", + "Ġrefer ral", + "Ġodd ly", + "ĠW enger", + "B ring", + "ĠB ows", + "60 2", + "IC LE", + "Ġl ions", + "ĠAcad emic", + "ĠTh orn", + "ĠRa ider", + "kef eller", + "St orage", + "L ower", + "ĠOr t", + "ĠEqu ality", + "AL T", + "ĠS OC", + "T ypes", + "Ġl yn", + "ĠAss et", + "co at", + "TP P", + "C VE", + "ĠPione er", + "app lication", + "Mod ern", + "ĠH K", + "En vironment", + "Al right", + "R ain", + "IP P", + "ĠShi ite", + "Ġm ound", + "ĠAb ilities", + "cond ition", + "St aff", + "Ġcompet ence", + "ĠM oor", + "ĠDi ablo", + "Ġwith held", + "Ġost ensibly", + "ĠB rom", + "Ġms g", + "Ġden omin", + "ĠRef erences", + "ĠF P", + "Ġplun ged", + "Ġp amph", + "m oving", + "cent ral", + "Ġdown right", + "Ġf ading", + "T al", + "T yp", + "ĠTh y", + "uk es", + "it he", + "Ġo ve", + "Ġbatt led", + "Ġseaf ood", + "Ġfig ur", + "ĠR D", + "c rop", + "Ġsqu ads", + "{ \\", + "à ¹", + "ĠE h", + "Ġinterview ing", + "ĠQ in", + "Ġas piring", + "PL IC", + "Ġcla uses", + "ĠG ast", + "ĠN ir", + "Ġl uggage", + "Ġh ose", + "Ġsystem d", + "Ġdesc ending", + "ĠRev ised", + "ĠR ails", + "al ign", + "70 9", + "33 7", + "Ġf ug", + "charg ing", + "t ags", + "Ġut er", + "k ish", + "WAR NING", + "49 0", + "prof its", + "Ġvoy age", + "Ġa ce", + "ĠV anguard", + "ĠT anks", + "ĠM uk", + "Ġ2 26", + "S afe", + "Ar mor", + "Ġvolcan ic", + "Ġwom b", + "ĠM IL", + "Ġbegin ner", + "ĠRec ogn", + "ĠA AP", + "PL AY", + ") !", + "Ġdetect ing", + "c n", + "Ġbre aches", + "Bas ically", + "ĠP ag", + "ĠMunicip al", + "ĠInd ie", + "ĠL af", + "ĠDis able", + "ĠOl son", + "Ġrest rained", + "Ġrul ings", + "Ġhum ane", + "ev ents", + "ĠCinem a", + "display Text", + "ĠH atch", + "action Date", + "onna issance", + "Ġassault ing", + "ĠL ug", + "CH AT", + "Ġvig orous", + "ĠPer se", + "Ġintoler ance", + "ĠSnap chat", + "ĠSh arks", + "Ġd ummy", + "ĠDi agn", + "ĠGu itar", + "im eters", + "40 3", + "RE G", + "A x", + "Ġsepar ates", + "ĠMah m", + "Ġt v", + "j ah", + "O OL", + "C irc", + "ĠWinds or", + "uss ian", + "Ġintu ition", + "Ġdis dain", + "ĠDon ovan", + "Ġ2 21", + "E mb", + "Ġcondem ning", + "Ġgener osity", + "zz y", + "Ġpant ies", + "ĠPre vent", + "Action Code", + "AN A", + "34 2", + "external ActionCode", + "Ġspec ifying", + "Ġcryst all", + "J ere", + "Ġru pt", + "ĠApp rentice", + "Ġprof iling", + "Ð º", + "St rike", + "Ġsid eline", + "Ġoblig ated", + "Ġocc ult", + "Ġbureaucr atic", + "ant ically", + "rupt ed", + "neg ative", + "ĠEthiop ia", + "ĠC ivic", + "Ġins iders", + "el igible", + "ĠTV s", + "ĠB AR", + "ĠT I", + "i ologist", + "ĠA IR", + "Ġsubstit uted", + "Ar ab", + "ĠS aul", + "ĠY og", + "p rem", + "Ġbuild ers", + "Ġstation ary", + "Ġdoubt ful", + "Ġvig orously", + "Ġthr illing", + "Ph ysical", + "ĠCare y", + "ĠHyd ra", + "geon ing", + "ĠS ly", + "y ton", + "Ġborrow ers", + "ĠPark inson", + "Ġ ë", + "ĠJama ica", + "Ġsat ir", + "Ġinsurg ents", + "ĠF irm", + "Ġis ot", + "ĠK arn", + "our ning", + "ak ens", + "doc s", + "l ittle", + "ĠMon aco", + "CL ASS", + "Tur key", + "L y", + "ĠCon an", + "ass ic", + "Ġstar red", + "ĠPac ers", + "et ies", + "Ġt ipping", + "M oon", + "ĠR w", + "s ame", + "Ġcav ity", + "Ġgo of", + "ĠZ o", + "Sh ock", + "um mer", + "Ġemphas izes", + "Ġreg rett", + "Ġnovel ty", + "Ġen vy", + "ĠPass ive", + "r w", + "50 5", + "Ġind ifferent", + "ĠR ica", + "ĠHim self", + "ĠFred die", + "Ġad ip", + "ä¸ Ģ", + "Ġbreak out", + "Ġhur ried", + "ĠHu ang", + "ĠD isk", + "Ġro aming", + "?????- ?????-", + "U V", + "ĠRick y", + "ĠS igma", + "Ġmarginal ized", + "Ġed its", + "Ġ30 4", + "mem ory", + "Ġspec imen", + "29 3", + "ãģ ¯", + "Ġvert ically", + "Ġaud ition", + "ĠHe ck", + "Ġc aster", + "ĠHold ings", + "ad al", + "ĠC ron", + "ĠL iam", + "Ġdef lect", + "P ick", + "ĠDeb ug", + "RE F", + "Ġvers atility", + "ot hes", + "class ified", + "ĠMah ar", + "ĠH ort", + "C ounter", + "st asy", + "not iced", + "33 1", + "ĠSh im", + "f uck", + "ĠB ie", + "Ġair ing", + "ĠPro tein", + "ĠHold ing", + "Ġspect ators", + "ili ated", + "ĠThat cher", + "n osis", + "ãĥ¼ ãĥ³", + "Te le", + "B oston", + "ĠTem pl", + "st ay", + "Ġdecl arations", + "47 9", + "Vol ume", + "ĠDesign er", + "ĠOver watch", + "id ae", + "Ġon wards", + "Ġn ets", + "ĠMan ila", + "part icularly", + "Ġpolit ic", + "o other", + "Ġport raits", + "Ġpave ment", + "c ffff", + "Ġs aints", + "Ġbegin ners", + "ES PN", + "Ġshort comings", + "âķIJ âķIJ", + "Ġcom et", + "ĠOrgan ic", + "qu el", + "Ġhospital ized", + "Bre ak", + "Ġpe el", + "dyl ib", + "asp x", + "ur ances", + "ĠT IM", + "P g", + "Ġread able", + "ĠMal ik", + "Ġm uzzle", + "Ġbench marks", + "d al", + "ĠV acc", + "ĠH icks", + "60 9", + "ĠB iblical", + "he ng", + "Ġover load", + "ĠCivil ization", + "Ġimm oral", + "Ġf ries", + "ãĤ Ĵ", + "Ġreprodu ced", + "Ġform ulation", + "j ug", + "ire z", + "g ear", + "Ġco ached", + "Mp Server", + "ĠS J", + "ĠK w", + "In it", + "d eal", + "ĠO ro", + "ĠL oki", + "ĠSong s", + "Ġ23 2", + "ĠLou ise", + "asion ally", + "Ġunc ond", + "olly wood", + "Ġprogress ives", + "ĠEn ough", + "ĠDo e", + "Ġwreck age", + "Ġbr ushed", + "ĠBase Type", + "Ġz oning", + "ish able", + "het ically", + "ĠC aucus", + "ĠH ue", + "Ġk arma", + "ĠSport ing", + "Ġtrad er", + "Ġseem ing", + "ĠCapt ure", + "4 30", + "b ish", + "Ġt unes", + "Ġindo ors", + "ĠSp here", + "ĠD ancing", + "TER N", + "Ġno b", + "ĠG ST", + "m aps", + "Ġpe ppers", + "F it", + "Ġoverse es", + "ĠRabb i", + "ĠR uler", + "vert ising", + "off ice", + "xx x", + "Ġra ft", + "Ch anged", + "Ġtext books", + "L inks", + "ĠO mn", + "ãĢ ij", + "Ġinconven ience", + "ĠDon etsk", + "= ~", + "Ġimplicit ly", + "Ġboost s", + "ĠB ones", + "ĠBo om", + "Cour tesy", + "Ġsens ational", + "AN Y", + "Ġgre edy", + "ed en", + "Ġinex per", + "ĠL er", + "ĠV ale", + "Ġtight en", + "ĠE AR", + "ĠN um", + "Ġancest or", + "S ent", + "ĠH orde", + "urg ical", + "all ah", + "Ġsa p", + "amb a", + "ĠSp read", + "tw itch", + "Ġgrand son", + "Ġfract ure", + "Ġmoder ator", + "ĠSe venth", + "ĠRe verse", + "Ġestim ation", + "Cho ose", + "Ġpar ach", + "Ġbar ric", + "ãĢ IJ", + "Ġcomp ass", + "Ġall ergic", + "âĢ ķ", + "OT HER", + "err illa", + "Ġw agon", + "Ġz inc", + "Ġrub bed", + "ĠFull er", + "ĠLuxem bourg", + "ĠHoo ver", + "Ġli ar", + "ĠEven ing", + "ĠCob b", + "est eem", + "Ġselect or", + "ĠB rawl", + "is ance", + "ĠE k", + "Ġtro op", + "Ġg uts", + "ĠApp eal", + "ĠTibet an", + "Ġrout ines", + "ĠM ent", + "Ġsummar ized", + "steam apps", + "Ġtr anqu", + "Ġ19 29", + "or an", + "ĠAut hent", + "Ġg maxwell", + "Ġappre hens", + "Ġpo ems", + "Ġsa usage", + "ĠWeb ster", + "ur us", + "Ġthem ed", + "Ġl ounge", + "Ġcharg er", + "Sp oiler", + "Ġsp illed", + "h og", + "ĠSu nder", + "ĠA in", + "ĠAng ry", + "Ġdis qual", + "ĠFrequ ency", + "ĠEther net", + "Ġhel per", + "Per cent", + "Ġhorr ifying", + "Ġa il", + "ĠAll an", + "EE E", + "ĠCross ing", + "44 9", + "Ġh olog", + "ĠPuzz les", + "ĠGo es", + "eren n", + "60 4", + "ãģ ı", + "ĠRaf ael", + "Ġatt en", + "ĠE manuel", + "Ġup ro", + "ĠSus p", + "P sych", + "ĠTr ainer", + "ĠN ES", + "ĠHun ts", + "bec ue", + "Ġcounsel or", + "R ule", + "Ġtox ins", + "Ġb anners", + "r ifice", + "Ġgreet ing", + "Ġfren zy", + "Ġall ocate", + "Ġ* )", + "ex pr", + "50 3", + "ĠCh ick", + "ĠT orn", + "Ġconsolid ation", + "ĠF letcher", + "sw itch", + "fr ac", + "cl ips", + "ĠMcK in", + "ĠLun ar", + "Mon th", + "IT CH", + "Ġscholar ly", + "rap ed", + "39 8", + "Ġ19 10", + "Ġe greg", + "Ġin secure", + "Ġvict orious", + "cffff cc", + "Ġsing led", + "Ġel ves", + "ĠW ond", + "bur st", + "Ġcam oufl", + "ĠBL ACK", + "Ġcondition ed", + "ç ī", + "ans wered", + "Ġcompuls ory", + "asc ist", + "Ġpodcast s", + "ĠFrank furt", + "bn b", + "Ġne oliberal", + "ĠKey board", + "ĠBel le", + "w arm", + "Ġtrust s", + "Ġins ured", + "ĠBu cc", + "us able", + "60 7", + "ĠPl ains", + "Ġ18 90", + "Ġsabot age", + "Ġlod ged", + "f elt", + "Ġg a", + "ĠN arc", + "ĠSal em", + "Ġsevent y", + "ĠBl ank", + "p ocket", + "Ġwhis per", + "Ġm ating", + "om ics", + "ĠSal man", + "ĠK ad", + "Ġan gered", + "Ġcoll isions", + "Ġextraord inarily", + "Ġcoerc ion", + "G host", + "b irds", + "è Ģ", + "k ok", + "Ġper missible", + "avor able", + "Ġpo inters", + "Ġdiss ip", + "ac i", + "Ġtheat rical", + "ĠCos mic", + "Ġforget ting", + "Ġfinal ized", + "å¤ §", + "y out", + "l ibrary", + "Ġbo oming", + "ĠBel ieve", + "ĠTe acher", + "ĠL iv", + "ĠGOOD MAN", + "ĠDomin ican", + "OR ED", + "ĠPart ies", + "Ġprecip itation", + "ĠSl ot", + "R oy", + "ĠComb ined", + "Ġinteg rating", + "Ġch rome", + "Ġintest inal", + "ĠRe bell", + "Ġmatch ups", + "Ġblock buster", + "ĠLore n", + "ĠLe vy", + "Ġpre aching", + "ĠS ending", + "ĠPur pose", + "ra x", + "f if", + "Ġauthor itative", + "ĠP ET", + "ast ical", + "Ġdish on", + "Ġchat ting", + "Ġ\"$ :/", + "Connect ion", + "Ġrecre ate", + "Ġdel inqu", + "Ġbro th", + "ĠD irty", + "ĠAd min", + "z man", + "Ġscholars hips", + "Ġ25 3", + "cont act", + "als a", + "7 67", + "c reen", + "abb age", + "Ġ19 15", + "Ġbl ended", + "Ġal armed", + "L anguage", + "35 6", + "Ġbl ends", + "ĠCh anged", + "W olf", + "Ġhe pat", + "Creat ing", + "Ġper secut", + "Ġsweet ness", + "art e", + "Ġforfe iture", + "ĠRober to", + "im pro", + "N FL", + "ĠMag net", + "Det ailed", + "Ġinsign ificant", + "ĠPOL IT", + "ĠBB Q", + "ĠC PS", + "Ġse aw", + "amin er", + "m L", + "end if", + "f inals", + "Ġ26 5", + "u ish", + "Ġ} )", + "ĠPro blems", + "Ġem blem", + "Ġserious ness", + "Ġpars ing", + "Ġsubst itution", + "Ġpress ured", + "Ġrecy cled", + "ale b", + "Rub y", + "Ġprof iciency", + "Dri ver", + "ĠW ester", + ": '", + "AF TA", + "Ġm antle", + "ĠClay ton", + "fl ag", + "Ġpractition er", + "c overed", + "ĠSt ruct", + "add afi", + "4 25", + "ĠTown ship", + "ĠHyd ro", + "Lou is", + "34 3", + "Ġcond o", + "ĠT ao", + "Ġutil ization", + "Ġnause a", + "ĠDem s", + "rid ges", + "p ause", + "Ġform ulas", + "Ġchall enger", + "37 6", + "Ġdefect ive", + "ĠRail way", + "ĠPub Med", + "Ġyog urt", + "l bs", + "ĠNor folk", + "OP E", + "ĠMood y", + "Ġdistribut or", + "Ġscroll s", + "Ġextract s", + "St an", + "Ġv iability", + "Ġexp oses", + "Ġstar vation", + "ĠStep s", + "ĠD odd", + "f ew", + "ST D", + "33 2", + "Ġclos ures", + "Ġcomplement ary", + "ĠS asha", + "ump y", + "Ġmon et", + "Ġartic ulate", + "ĠDo ct", + "k iller", + "Ġsc rim", + "Ġ2 64", + "Ġprost itutes", + "Ġse vered", + "Ġattach ments", + "Ġcool ed", + "L ev", + "ĠF alk", + "f ail", + "Ġpolic eman", + "ĠD ag", + "Ġpray ed", + "ĠK ernel", + "Ġcl ut", + "Ġc ath", + "Ġan omaly", + "St orm", + "em aker", + "ĠBreak fast", + "ul i", + "o ire", + "J J", + "h z", + "Oper ation", + "ĠS ick", + "35 4", + "ĠGuatem ala", + "R ate", + "Ġexp osures", + "f aces", + "ĠArch ae", + "ra f", + "ĠM ia", + "Ġ20 25", + "Ġop aque", + "Ġdisgu ised", + "ĠHead quarters", + "S ah", + "Ġp ots", + "9 78", + "ĠM alf", + "Ġfrown ed", + "Ġpoison ous", + "ĠCon vers", + "ee ks", + "Ġcr ab", + ".\" \"", + "Ġtre ason", + "Ġr anc", + "Ġescal ating", + "Ġwar r", + "Ġmob s", + "Ġl amps", + "ĠSun shine", + "ĠBrun swick", + "Ph ones", + "Ġspe lled", + "ĠSk ip", + "Ġ20 50", + "Ġ19 11", + "ĠPl uto", + "ĠAm end", + "Ġme ats", + "38 7", + "Ġst omp", + "ĠZh ou", + "ĠLevi athan", + "ĠHaz ard", + "ad v", + "ĠOr well", + "Ġal oud", + "Ġb umper", + "ĠAn arch", + "ub untu", + "ĠSer ious", + "f itting", + "ĠOption al", + "ĠCec il", + "RE AM", + "Ġser otonin", + "Ġcultiv ate", + "ag ogue", + "} \\", + "Ġmos ques", + "ĠSun ny", + "Ġre active", + "rev olution", + "ĠL up", + "ĠFed ora", + "Ġdefense man", + "ĠV ID", + "ist ine", + "Ġdrown ing", + "ĠBroad casting", + "Ġthr iller", + "ĠS cy", + "Ġacceler ating", + "Ġdirect s", + "od ied", + "b ike", + "d uration", + "Ġpain fully", + "R edd", + "Ġproduct ions", + "Ġg ag", + "Ġwh ist", + "Ġs ock", + "Ġinf initely", + "ĠConc ern", + "ĠCit adel", + "Ġlie u", + "Ġcand les", + "ogene ous", + "arg er", + "Ġheaven ly", + "inflamm atory", + "Per formance", + "C s", + "ruct ose", + "az aki", + "Ġp essim", + "Ġinf erence", + "Ġpow d", + "ĠZ oe", + "Ġpain ts", + "Ġd azz", + "pt a", + "-------- ---", + "Ġins pir", + "ĠExper imental", + "ĠKn ife", + "reg or", + "b ors", + "Ġshow ers", + "rom eda", + "Ġs aint", + "Ġben ign", + "ĠJ iang", + "Ġenvision ed", + "Ġsh roud", + "IF T", + "H O", + "Ġsh uff", + "ĠI CC", + "Ġse greg", + "Ġrevis it", + "ighth ouse", + "L i", + "Ġsub strate", + "ĠSe as", + "ĠRew ard", + "ĠH ep", + "ĠBr ass", + "s bm", + "Ġelim inates", + "Ġst amina", + "ĠV AT", + "ĠLo an", + "Ġconst raint", + "Ġappropri ated", + "Ġp es", + "ĠA LE", + "r anging", + "Ġ40 4", + "39 2", + "Ġintellectual s", + "ach u", + "Ġrestruct uring", + "ĠLe vin", + "Ġrun es", + "Ġdelight ful", + "Ġcarbohyd rates", + "ĠMod els", + "ĠExp o", + "Ġtransport ing", + "all oc", + "Ġring ing", + "S amsung", + "Ġscarce ly", + "ĠURL s", + "ĠM AS", + "Ġprot otypes", + "Ġnarr ator", + "ĠCPU s", + "cd n", + "ĠBart on", + "Ġdecided ly", + "ĠSh u", + "ix ir", + "oc ious", + "ĠMy st", + "N intendo", + "Ġre use", + "Ġforg iven", + "F ew", + "in ical", + "n at", + "Ġseam less", + "ĠEv a", + "ĠE VE", + "ĠJ O", + "land ers", + "Ġso fter", + "neg ie", + "Ġtrans ient", + "Ġorb ital", + "Ġfulf il", + "ĠK om", + "Hop efully", + "Ġdynam ically", + "ĠHun ger", + "å Ľ", + "ĠArmen ia", + "el man", + "ber to", + "Ġp ige", + "ĠID s", + "lim it", + "Ġve ins", + "Ġso aring", + "p acks", + "Gold en", + "ĠCr ab", + "ist or", + "ĠR PM", + "Ġ$ $", + "g ression", + "Ġjihad ist", + "Ġgam ble", + "Ġcare g", + "Ġinf lated", + "F ace", + "ĠFire arms", + "ĠEm manuel", + "â Ŀ", + "Ġsh ocks", + "gr ab", + "Ġspl end", + "ĠHP V", + "ab ortion", + "Ab ove", + "Ent ity", + "play ers", + "Ġcomm enced", + "ul ence", + "Ġfulfill ment", + "Ġembod iments", + "ĠW elfare", + "Ġha il", + "Ġ< @", + "tt en", + "Ġcat cher", + "ĠJ azeera", + "Ġvolcan o", + "Ġstabil ize", + "ĠHand ler", + "Ġintens ified", + "ĠAb rams", + "Ġhum iliation", + "p aced", + "60 5", + "ĠCent OS", + "Spe cific", + "Ġhe ed", + "ĠC AM", + "ĠGal ile", + "D ie", + "Ġabol ished", + "ĠThom son", + "ĠTe achers", + "ĠW ass", + "j ong", + "ĠIS BN", + "ĠAll ies", + "sh ake", + "å ·", + "v ict", + "How ard", + "Ġde em", + "Ġexceed ingly", + "ĠSmart stocks", + "ib e", + "Ġdoor way", + "Ġcompet ed", + "ig mat", + "Ġnational ists", + "Ġg room", + "ĠKe en", + "Ġdispos able", + "de cl", + "ĠT olkien", + "ĠSche me", + "Ġb iod", + "Ġav id", + "ĠEl on", + "ag ar", + "ĠT SA", + "R oman", + "Ġartific ially", + "Ġadvis ors", + "X L", + "ĠInf erno", + "36 6", + "Ġted ious", + "ĠPhot ography", + "ĠCar rie", + "Ġtro pe", + "ĠSand ra", + "Ġdec imal", + "Que en", + "ĠGund am", + "ĠO M", + "ote ch", + "N BA", + "Ġ19 32", + "Ġent renched", + "ĠMar ion", + "Ġfr aternity", + "Lab our", + "Hen ry", + "Ġlat itude", + "E ither", + "Ġenh ances", + "ĠPot ential", + "Ġsh ines", + "id ad", + "Ġbread th", + "Ġcapac ities", + "ĠðŁ ĻĤ", + "ĠBron x", + "Ġsex es", + "Ġdifferent iation", + "Ġheavy weight", + "ĠT aj", + "d ra", + "Ġmigr ate", + "Ġexhaust ion", + "ĠR UN", + "els ius", + "ĠCu omo", + "Ġgu itars", + "Ġcl ones", + "ĠSom ew", + "ĠP ry", + "------------ -", + "Ġwarr anted", + "cy cles", + "Ġsalv age", + "Ġdis ks", + "R ANT", + "ĠNGO s", + "ĠMart ian", + "\":[ {\"", + "Ġadd icts", + "oj ure", + "il let", + "Ġamazing ly", + "art ments", + "p ixel", + "ĠGPU s", + "Lay out", + "è £", + "ĠTam il", + "ĠBas il", + "Ġimpart ial", + "ĠSt ructure", + "f ork", + "b ryce", + "Ġr idge", + "ĠHamb urg", + "ri ous", + "Ġbl itz", + "cig arettes", + "Ġcan ned", + "40 2", + "Ġiron ically", + "Ġcompassion ate", + "ĠHaw kins", + ". #", + "ĠCat hedral", + "Ġrall ied", + "in ternal", + "Ġqu ota", + "st akes", + "T EXT", + "m om", + "Ġcomple tes", + "Ġ23 8", + "Ġsh rug", + "ãĥ ij", + "ĠN inth", + "Ġrev ise", + "ĠProv ider", + "Ġtre acher", + "Ġqu asi", + "ĠPR ES", + "Ġdep osition", + "Ġconfidential ity", + "iss ors", + "Ġim balance", + "Ġspan ning", + "Ġang ular", + "ĠC ul", + "commun ication", + "ĠNor a", + "ĠGen ius", + "op ter", + "Ġs acked", + "Sp ot", + "Ġfine ly", + "ĠCH R", + "28 2", + "w aves", + "Pal est", + "ĠRo hing", + "N L", + "è ¿", + "Ġsh itty", + "ĠSc alia", + "4 75", + "Pro gress", + "Ġreferen cing", + "Ġclass rooms", + "ab ee", + "Ġs od", + "hes ion", + "70 8", + "ĠZucker berg", + "ĠFin ish", + "ĠScot ia", + "ĠSav ior", + "ĠInstall ation", + "an tha", + "( -", + "Ġ30 2", + "ĠP unk", + "Ġcr ater", + "yout u", + "Ġro ast", + "Ġinflu encing", + "Ġd up", + "ĠJ R", + "ĠG rav", + "Ġstat ure", + "Ġbath rooms", + "A side", + "W iki", + "me an", + "ĠZ ak", + "ĠOn es", + "ĠN ath", + "Ġhyper t", + "Ġcommence ment", + "C ivil", + "Ġmoder ately", + "Ġdistribut ors", + "Ġbreast feeding", + "Ġ9 80", + "ĠS ik", + "ĠC ig", + "ĠAM ER", + "R IP", + "ĠCare er", + "ust ing", + "Ġmess ed", + "Ġe h", + "ĠJ ensen", + "/ $", + "Ġblack mail", + "Ġconvers ions", + "Ġscientific ally", + "Ġmant ra", + "p aying", + "Ġiv ory", + "ĠCour ts", + "OU GH", + "aunt let", + "Ser ial", + "B row", + "ĠH undreds", + "3 23", + "Ġpe e", + "Ġlin ux", + "Ġsub mer", + "ĠPrinc ipal", + "48 5", + "ĠD SL", + "ĠCous ins", + "Ġdoctr ines", + "ĠAthlet ics", + "Ġ3 15", + "ĠK arma", + "Ġatt ent", + "ur ger", + "Ġpresc ribe", + "Ġenc aps", + "ĠC ame", + "Ġsecret ive", + "ĠCr imes", + "d n", + "C lean", + "ĠEgypt ians", + "ĠCar penter", + "Ġ ll", + "H um", + "ĠMil o", + "Ġcapital ists", + "Ġbrief ed", + "T we", + "ĠBas in", + "elve t", + "M os", + "Ġplun ge", + "ĠKa iser", + "ĠFu j", + "ill in", + "Ġsafegu ards", + "Ġo ste", + "ĠOpportun ity", + "ĠM afia", + "ĠCall ing", + "ap a", + "ur ban", + "br ush", + "ill ard", + "c é", + "int elligence", + "ĠL ob", + "ĠDru id", + "Ġsm oother", + "Ġfoot ing", + "Ġmotor ists", + "arc ity", + "Ġmascul inity", + "Ġm ism", + "Ġabdom inal", + "ĠTa vern", + "ĠR oh", + "Ġesc apes", + "s igned", + "Anth ony", + "Ġsacrific ing", + "Ġintim acy", + "Ġan terior", + "ĠK od", + "Ġmot if", + "Ġg raz", + "Ġvisual ization", + "Ġguitar ist", + "ĠTro tsky", + "m agic", + "D ar", + "ĠMor i", + "Ġw ards", + "Ġtoile ts", + "l est", + "Ġtele port", + "ĠSund ays", + "ĠPl at", + "ET S", + "Ġe Sports", + "Pat rick", + "ĠK atherine", + "en ko", + "Ġhas sle", + "ĠM ick", + "gg les", + "Ġh ob", + "aint ain", + "Ġair borne", + "Ġsp ans", + "Ġch ili", + "Ġa perture", + "Ġvolunte ered", + "ĠInc ident", + "ĠF res", + "ĠVeter an", + "augh tered", + "ing o", + "Ġun insured", + "CL OSE", + "Ġf use", + "Ġer otic", + "Ġadvert ise", + "ra ising", + "Text ure", + "Ġatt ends", + "ĠRE AL", + "udd led", + "Ġsm oot", + "Ġ30 5", + "ĠWill is", + "Ġbl ond", + "An alysis", + "ĠV T", + "on ica", + "Ġstrongh old", + "R F", + "N M", + ". >>", + "Ġprosper ous", + "Ġbo asted", + "29 2", + "ĠManufact uring", + "PR ESS", + "g ren", + "Ġpharm acy", + "ĠRoc kefeller", + "k ai", + "Ġth umbs", + "ĠH ut", + "Ġmother board", + "Ġguard ians", + "ĠAl ter", + "ll ular", + "Ġsh ack", + "Ġwise ly", + "Ġback bone", + "erv a", + "Ġsu icides", + "ĠMcG regor", + "ij ah", + "E mer", + "ĠB rav", + "Ġdesign ate", + "P OST", + "produ ced", + "Ġcleans ing", + "irl wind", + "ex istent", + "ĠHum ph", + "ĠPay ne", + "Ġv ested", + "Å ¡", + "Ġstring ent", + "ion a", + "Ġuns ub", + "Ġsum med", + "ĠHer cules", + "sub ject", + "ĠR agnar", + "ĠN os", + "Ġcharacter ization", + "Ġsav vy", + "ĠDaw son", + "ĠCas ino", + "Ġf ri", + "ĠBar rier", + "Ġmis information", + "Ġins ulation", + "Ġcorrid ors", + "Ġair planes", + "ĠNo ct", + "ah i", + "Ġ19 16", + "k b", + "arm ac", + "Ġsh un", + "Ġsche ma", + "Ġhorr ified", + "Ġ23 9", + "aund ers", + "N B", + "i ates", + "er ity", + "ĠSh ard", + "Ġr arity", + "Ġgroup ed", + "ĠGh ana", + "again st", + "ĠBi ological", + "ĠA ware", + "ow ell", + "Ï Ħ", + "ĠBe au", + "sh aw", + "H ack", + "ĠJul ius", + "US S", + "ol son", + "aun a", + "c ru", + "ĠMaur ice", + "ĠI k", + "Ġsequ encing", + "Ġradical s", + "Ġ( ?,", + "v irtual", + "Ġany ways", + "Ġreper c", + "Ġhand lers", + "Ġhes itant", + "é ĥ", + "ĠM F", + "ple mentation", + "ass ociated", + "Ġcampaign ed", + "ĠY ue", + "ut ations", + "ĠY oga", + "Ġsim mer", + "Ġro ds", + "Ġmel ody", + "Ġconv oy", + "v ideos", + "Ġscreen ed", + "N eg", + "ochem ical", + "Ġ( ))", + "Ġultr as", + "Ġant ip", + "ĠIsland ers", + "70 4", + "Ġfet ish", + "Ġridic ulously", + "ĠK art", + "Ġmitochond rial", + "Ġinterf ering", + "Build er", + "Ġover fl", + "Ġac ne", + "ĠM ud", + "ĠK err", + "f lex", + "ĠPost al", + "ĠBalt ic", + "47 7", + "ĠPers ons", + "our age", + "H B", + "ĠM use", + "ĠImm ortal", + "ĠDri ving", + "Ġpet itions", + "Ġsubsc ript", + "Ġs orce", + "ĠProcess or", + "ut on", + "S ony", + "Ġph on", + "Ġr aced", + "ĠAnth rop", + "Ġday time", + "ĠEx ercise", + "Add ing", + "Ġeng ages", + "ĠQual comm", + "Ġmir acles", + "Ġmem es", + "ĠDr ink", + "ĠOri oles", + "Ġhair s", + "ĠPol ar", + "ath om", + "Ġsl ippery", + "ĠR emy", + "Ġcar amel", + "ĠY EAR", + "Ġal k", + "I gn", + "a ution", + "ĠMer lin", + "ĠC ran", + "Ġap ologies", + "Ġ4 10", + "Ġout ing", + "ĠMem ories", + "app ointed", + "Ġcount ered", + "u ld", + "pos ing", + "Ġfire wall", + "ĠW ast", + "ĠW et", + "work ed", + "se ller", + "Ġrepe aled", + "ere o", + "ass uming", + "BL IC", + "m ite", + "ĠCEO s", + "ĠChap el", + "ellig ent", + "________________ ________", + "D og", + "Ġw art", + "Ġsubsc riber", + "s ports", + "Ġbe gged", + "ĠM V", + "Ġsem if", + "eth ical", + "Ġpre ach", + "Ġrev ital", + "Ġpun itive", + "Ġshort cuts", + "Ġinstit uted", + "ĠWars aw", + "Ġabdom en", + "ĠK ING", + "Ġsuper intendent", + "Ġf ry", + "ĠGe o", + "T OR", + "Ġcontrad ictions", + "apt ic", + "Ġlandsc apes", + "b ugs", + "Ġcl ust", + "Ġvol ley", + "c ribed", + "Ġt andem", + "Ġrob es", + "WH AT", + "Ġpromot er", + "Ġel oqu", + "review ed", + "ĠD K", + "ĠPl ato", + "Ġf ps", + "T ank", + "ĠDer rick", + "Ġpriorit ize", + "as per", + "ĠHond uras", + "ĠCom pleted", + "ne c", + "Ġm og", + "n ir", + "ĠMay o", + "DE F", + "st all", + "in ness", + "ĠVolks wagen", + "Ġprec aution", + "ĠM ell", + "i ak", + "ist ries", + "Ġ24 8", + "Ġoverl apping", + "Sen ate", + "ĠEnh ance", + "res y", + "rac ial", + "OR TS", + "ĠM ormons", + "Str ong", + "ĠCo ch", + "Mex ico", + "ĠMad uro", + "Ġj ars", + "Ġcan e", + "W ik", + "oll a", + "iff erence", + "Ġphysic ist", + "ĠMag gie", + "Ġ28 5", + "Ġdep iction", + "ĠMcL aren", + "J u", + "Ġsl ows", + "Ġcommission ers", + "ĠWill ow", + "ĠExpl os", + "hov ah", + "Ġtechn ician", + "Ġhom icides", + "ĠFl av", + "ĠTr uman", + "Ġ100 00", + "u ctor", + "Ġsh ader", + "News letter", + "45 7", + "Ġre ver", + "Ġhard ened", + "Ġwhere abouts", + "Ġrede velop", + "Ġcar bs", + "Ġtra vers", + "Ġsqu irrel", + "Ġfoll ower", + "Ġs ings", + "50 8", + "Ġrabb its", + "emon ium", + "Ġdocument ing", + "Ġmisunder stood", + ") '", + "R ick", + "gg ies", + "Ġprem ie", + "Ġsk ating", + "Ġpass ports", + "Ġf ists", + "aged don", + "H aw", + "AC P", + "0 80", + "ĠThough ts", + "ĠCarl son", + "Ġpriest hood", + "h ua", + "Ġdun geons", + "ĠLo ans", + "Ġant is", + "Ġfamiliar ity", + "ĠS abb", + "op al", + "ĠIn k", + "st rike", + "Ġc ram", + "Ġlegal ized", + "Ġcu isine", + "Ġfib re", + "Tra vel", + "ĠMon ument", + "OD Y", + "eth y", + "Ġinter state", + "ĠP UR", + "em porary", + "ĠArab ian", + "develop ed", + "Ġsadd le", + "Ġg ithub", + "ĠOff er", + "ĠIS P", + "ro let", + "ĠSUP ER", + "ĠDen is", + "Ġmultipl ier", + "Ġstir red", + "Interest ingly", + "Ġcustom ary", + "Ġbill ed", + "he x", + "Ġmultipl ied", + "Ġfl ipping", + "ĠCros by", + "Ġfundament als", + "ia e", + "ĠPlay ed", + "ĠAt om", + "am azon", + "ĠFl am", + "ee z", + "activ ated", + "Ġtables poon", + "Ġliberal ism", + "ĠPal in", + "ĠP atel", + "N um", + "ĠT AM", + "Ġs urn", + "ĠRel oaded", + "Ġco ined", + "\" ],", + "ĠCl ash", + "ĠAg u", + "Ġprag matic", + "ĠActiv ate", + "Ġ8 02", + "Ġtrail ers", + "Ġsil hou", + "Ġprob es", + "Ġcirc us", + "ĠB ain", + "ĠLind say", + "ĠAb bey", + "Del ivery", + "Ġconcess ion", + "Ġgast ro", + "ĠSpr ite", + "Ä Ł", + "and el", + "Ġg imm", + "Ġaut obi", + "ĠT urtle", + "Ġwonder fully", + "ĠHar am", + "ĠWorld wide", + "ĠHand le", + "Ġtheor ists", + "Ġsle ek", + "ĠZh u", + "ograph ically", + "EG A", + "ĠOwn ers", + "ath s", + "ĠAntar ctic", + "n atal", + "=\" \"", + "fl ags", + "`` ``", + "Ġs ul", + "K h", + "Ġpot assium", + "Ġlinem an", + "Ġcere al", + "ĠSe asons", + "Ġ20 22", + "Ġmat hematic", + "Ġastron omers", + "prof essional", + "Ġf ares", + "cknow led", + "Ġch i", + "Ġyoung sters", + "Ġmistaken ly", + "Ġhem isphere", + "ĠDiv inity", + "r one", + "Ġ\" ,", + "r ings", + "Ġattract s", + "v ana", + "å ¹", + "C AP", + "Ġplay list", + "Ġpor ch", + "ãģ £", + "Ġincorpor ates", + "Ġso ak", + "Ġassert ing", + "ĠTerror ism", + "ĠP ablo", + "J a", + "ces ter", + "Ġfear ing", + "ĠPr ayer", + "Ġescal ated", + "G W", + "Ġro be", + "ĠBright on", + "ac ists", + "ĠSym phony", + "ĠDwar f", + "ĠPar ade", + "ĠLe go", + "Ġinex pl", + "Ġl ords", + "le af", + "RA G", + "l iber", + "Ġcig ars", + "ĠJe hovah", + "60 6", + "WIND OWS", + "ĠLiber ia", + "eb us", + "He avy", + "Ġl ubric", + "ĠR W", + "angu ages", + "Ġnarrow ed", + "com puter", + "ĠE mber", + "Ġmurder ing", + "Ġdown stream", + "ĠT uls", + "ĠT ables", + "Top ic", + "ĠAcc uracy", + "= /", + "l ost", + "ĠRe i", + "Ġprogress es", + "b ear", + "Ġestablish ments", + "Just in", + "ĠPe ach", + "ĠG omez", + "å ¿", + "ĠTri angle", + "Id ent", + "ĠH ive", + "Res ources", + "Ġmix es", + "ĠAss uming", + "M u", + "Ġhyp oc", + "Ġs ane", + "ĠW an", + "id ious", + "Su ccess", + "Ġ io", + "Ang el", + "Ġdanger ously", + "ĠCreat ure", + "W ORK", + ": [", + "ĠKat rina", + "List ener", + "M iller", + "ĠId lib", + "h ang", + "Ġcircum vent", + "h ref", + "Ġcel estial", + "ĠWe eks", + "ĠP ug", + "ĠDal ton", + "Ġsubpoen a", + "uk u", + "Ġpers isted", + "pe i", + "old ing", + "ĠDoc uments", + "ĠH ast", + "ĠC ENT", + "Ġprim er", + "Ġsyn onymous", + "Ġn ib", + "om bs", + "Ġnot ation", + "ĠD ish", + "ĠAt mosp", + "Ġforb id", + "ĠAN G", + "pat tern", + "l os", + "Ġproject iles", + "b rown", + ".\" ,", + "ĠVen om", + "Ġfierce ly", + "ub lished", + "ĠU ran", + "ĠNic arag", + "4 10", + "ĠC AL", + "OT OS", + "ĠMir acle", + "ĠEn chant", + "Ġguard ing", + "app end", + "Att ach", + "Ġlevel ed", + "Ġcond oms", + "ih ilation", + "64 9", + "Ġnight mares", + "ĠTHE Y", + "ĠST ART", + "ĠK inn", + "Ġroomm ate", + "Ġhy giene", + "o pping", + "J ob", + "Ġl vl", + "ĠV ER", + "ĠKe eping", + "ab etic", + "Ġformat ting", + "eral a", + "Ġrev isions", + "Ġres urg", + "T el", + "ĠGood man", + "35 3", + "p od", + "Ġind isp", + "ĠTrans lation", + "Ġg own", + "ĠM und", + "Ġc is", + "Ġby stand", + "col lect", + "ĠPun jab", + "act ively", + "ĠG amb", + "te ll", + "Ġimport ing", + "g encies", + "Ġloc om", + "ĠBr ill", + "H oly", + "ĠBer ger", + "Ġshow down", + "Ġrespond ers", + "IL Y", + "Ġt akedown", + "le ted", + "Ġmat tered", + "Ġpredict ive", + "Ġover lay", + "G PU", + "ĠV ick", + "Ġconvey ed", + "T ab", + "pe er", + "Sc an", + "Ġdefensive ly", + "v ae", + "Ġappro ving", + "Ġt iers", + "ĠV ia", + "quer ade", + "ĠSaud is", + "Ġdemol ished", + "ĠProp he", + "Ġmon o", + "Ġhospital ity", + "H AM", + "ĠAri el", + "M OD", + "ĠTor ah", + "Ġbl ah", + "ĠBel arus", + "erent ial", + "ĠT uc", + "Ġbank er", + "39 7", + "Ġmosqu it", + "ĠScient ist", + "ĠMus ical", + "Ġh ust", + "Sh ift", + "Ġtor ment", + "Ġstand off", + "E duc", + "ĠF og", + "Ġampl ifier", + "Sh ape", + "Inst ance", + "ĠCrit ics", + "Ġda emon", + "H ouston", + "Ġmatt ress", + "ĠID F", + "Ġobsc ene", + "ĠA mer", + "hett i", + "Ġcomp iling", + "35 2", + "vere tt", + "ĠRed uction", + "ist ration", + "ĠBl essed", + "ĠB achelor", + "3 16", + "Ġpr ank", + "ĠVul can", + "dd ing", + "Ġm ourning", + "ĠQu int", + "ĠBl aster", + "test ing", + "Ġsed iment", + ">> >", + "ĠE ternity", + "ĠWH ERE", + "ĠM aze", + "Ġreact ing", + "ĠAl v", + "oms day", + "ĠC RA", + "Ġtransl ator", + "Ġbog us", + "at u", + "We bsite", + "oll s", + "Ġbapt ism", + "Ġs ibling", + "ĠAut umn", + "ve z", + "ãģ® é", + "gu ards", + "Ge org", + "assad ors", + "ĠFre ud", + "Ġcontin ents", + "ĠReg istry", + "Bern ie", + "ĸļ 士", + "Ġtoler ant", + "ĠU W", + "Ġhor ribly", + "99 5", + "ĠMID I", + "Ġimpat ient", + "oc ado", + "er i", + "ĠWor st", + "ĠNor ris", + "ĠTalk ing", + "Ġdef ends", + "ens able", + "Ġ20 21", + "Ġanat omy", + "L ew", + "Ġdraw er", + "ĠCan berra", + "Ġpatri otic", + "é¾įå ĸļ士", + "ĠAv g", + "AR M", + "Ġundis closed", + "Ġfare well", + "45 9", + "b able", + "ĠAll ison", + "OL OG", + "Ġcon co", + "t ight", + "ĠAC PI", + "ĠM ines", + "l ich", + "ĠâĶ ľ", + "represent ed", + "200 000", + "Ġenthusi ast", + "OT S", + "b il", + "ĠIng redients", + "Ġinvent or", + "ĠMy SQL", + "³³ Âł", + "ĠAB OUT", + "with in", + "Ġm k", + "B ul", + "ĠF ake", + "Ġdracon ian", + "W a", + "hel m", + "ĠTer ran", + "erv ille", + "Ġcommon place", + "SI ZE", + "Ġ\" <", + "re place", + "ograph s", + "ĠSE LECT", + "inc ible", + "ĠMost ly", + "ĠShe ffield", + "ĠID E", + "ugg le", + "Ġcit ations", + "h urst", + "ĠUn ix", + "Ġunle ash", + "ĠP iper", + "ĠN ano", + "Ġsucc umb", + "Ġreluct ance", + "Ġ25 00", + "ĠMer chant", + "Ġwire t", + "Ġcomb os", + "ĠBirth day", + "Ġchar coal", + "ĠU PS", + "ĠFair fax", + "Ġdrive way", + "ĠT ek", + "ĠP itch", + "ove re", + "Ġtechn icians", + "ĠAct ual", + "fl ation", + "ĠF iscal", + "ĠEm pty", + "an amo", + "Ġmag nesium", + "Ġsl ut", + "Ġgrow ers", + "Invest igators", + "( ):", + "ĠS atellite", + "ĠKe ynes", + "miss ive", + "l ane", + "Ġb orough", + "3 44", + "ĠTE AM", + "ĠBet hesda", + "C V", + "h ower", + "ĠR AD", + "Ġch ant", + "ĠR iy", + "Ġcompos itions", + "Ġmild ly", + "Ġmedd ling", + "Ġag ility", + "ane ers", + "5 01", + "Ġsyn th", + "ling er", + "29 1", + "Ġex claimed", + "Part y", + "Ġcont amin", + "ĠMan or", + "ĠResp ond", + "Ġpra ising", + "Ġman ners", + "fle et", + "Sum mer", + "ĠLy nd", + "ĠDef initely", + "gr im", + "Ġbow ling", + "st ri", + "ç Ľ", + "y nt", + "Ġmand ates", + "D IV", + "Ġreconc ile", + "view s", + "ĠDam on", + "vet te", + "F lo", + "ĠGreat est", + "il on", + "ic ia", + "Ġportray al", + "Ġcush ion", + "50 4", + "19 79", + "oss al", + "App lic", + "sc ription", + "Ġmit igation", + "AT S", + "p ac", + "Ġer ased", + "Ġdefic iencies", + "ĠHolland e", + "ĠX u", + "Ġb red", + "Ġpregn ancies", + "f emin", + "Ġem ph", + "Ġpl anners", + "Ġout per", + "utter ing", + "Ġperpet rator", + "Ġm otto", + "ĠEll ison", + "ĠNE VER", + "Ġadmitted ly", + "AR I", + "ĠAzerbai jan", + "Ġmill isec", + "Ġcombust ion", + "ĠBott le", + "ĠL und", + "ĠP s", + "ĠD ress", + "Ġfabric ated", + "Ġbat tered", + "Ġs idel", + "ĠNot ting", + "Fore ign", + "ĠJer ome", + "0 20", + "ĠAr bit", + "Ġkn ots", + "ĠR IGHT", + "M oving", + "ãģ Ļ", + "Ġsur geries", + "Ġcour thouse", + "Ġm astered", + "Ġhover ing", + "ĠBr an", + "ĠAl ison", + "Ġsaf est", + "m ilitary", + "Ġbull ied", + "Ġbar rage", + "Read er", + "ES E", + "ĠGe ographic", + "T ools", + "3 14", + "ĠGe ek", + "ro th", + "gl ers", + "ĠF IN", + "Ï ģ", + "ĠA ston", + "al tern", + "48 8", + "Ġveter in", + "G amer", + "Ġint el", + "ren ches", + "Sh ield", + "Ġam nesty", + "ĠB har", + "Ġp iled", + "Ġhonor able", + "ĠInst itutes", + "Ġso aked", + "Ġcom a", + "ĠE FF", + "34 1", + "by tes", + "ĠG mail", + "le in", + "ĠCanad iens", + "m aterial", + "I l", + "Ġinstruct ors", + "ĠK Y", + "Ġconce ive", + "ub b", + "ĠP ossible", + "Ġeas ing", + "ĠChrist ina", + "Ġcar ic", + "ĠHD R", + "R OM", + "Ġsho vel", + "de lete", + "Ġp uff", + "ĠCh anging", + "Ġseam lessly", + "Att ribute", + "Ġacqu isitions", + "ak ery", + "ĠE F", + "Ġaut istic", + "ĠT akes", + "ĠPow der", + "ĠSt ir", + "5 10", + "ĠBub ble", + "sett ings", + "ĠF owler", + "Ġmust ard", + "Ġmore over", + "Ġcopyright ed", + "ĠLED s", + "15 00", + "æ ī", + "ĠH IS", + "en f", + "Ġcust od", + "ĠH uck", + "G i", + "Ġim g", + "An swer", + "C t", + "j ay", + "ĠInf rastructure", + "Ġfeder ally", + "L oc", + "Ġmicro bes", + "Ġover run", + "dd s", + "ot ent", + "adi ator", + ">>>> >>>>", + "Ġtorn ado", + "Ġadj ud", + "Ġintrig ued", + "Ġs i", + "ĠRevel ation", + "pro gress", + "Ġburgl ary", + "ĠSai yan", + "ĠK athy", + "Ġser pent", + "ĠAndre as", + "Ġcomp el", + "ess ler", + "ĠPl astic", + "ĠAd vent", + "ĠPos itive", + "ĠQ t", + "ĠHind us", + "reg istered", + "ular ity", + "Ġrighteous ness", + "Ġdemon ic", + "u itive", + "ĠB DS", + "ĠGre gg", + "c ia", + "ĠCrus ade", + "ĠSina i", + "W ARE", + "+ (", + "Ġme ll", + "Ġder ail", + "y ards", + "A st", + "Ġnotice ably", + "ĠO ber", + "R am", + "Ġun noticed", + "Ġse q", + "av age", + "T s", + "Ġ6 40", + "Ġconced e", + "Ġ] )", + "F ill", + "Ġcapt ivity", + "ĠImprove ment", + "ĠCrus ader", + "ara oh", + "M AP", + "æ Ĺ", + "Ġstr ide", + "al ways", + "F ly", + "N it", + "Ġal gae", + "ĠCook ing", + "ĠDo ors", + "Mal ley", + "Ġpolic emen", + "ãģ į", + "Ġastron aut", + "access ible", + "49 5", + "ĠR AW", + "cl iffe", + "udic rous", + "Ġdep ended", + "al ach", + "Ġvent ures", + "ra ke", + "Ġt its", + "ĠH ou", + "Ġcond om", + "ormon al", + "Ġind ent", + "Ġupload ing", + "Foot note", + "Import ant", + "Ġ27 1", + "Ġmind ful", + "Ġcont ends", + "C ra", + "Ġcal ibr", + "ĠO ECD", + "plug in", + "F at", + "ĠIS S", + "ĠDynam ics", + "ans en", + "68 6", + "' ),", + "Ġsp rite", + "Ġhand held", + "ĠH ipp", + "=~ =~", + "Tr ust", + "Ġsem antics", + "ĠBund es", + "ĠRen o", + "ĠLiter ature", + "s ense", + "G ary", + "ĠA eg", + "ĠTr in", + "EE K", + "Ġcler ic", + "ĠSS H", + "Ġch rist", + "Ġinv ading", + "ib u", + "Ġen um", + "aur a", + "Ġal lege", + "ĠInc redible", + "B BC", + "Ġth ru", + "Ġsa iled", + "Ġem ulate", + "Ġin security", + "Ġc rou", + "Ġaccommod ations", + "Ġincompet ent", + "Ġsl ips", + "ĠEarth qu", + "s ama", + "IL LE", + "Ġi Phones", + "as aki", + "Ġby e", + "Ġar d", + "Ġext ras", + "Ġsl aughtered", + "Ġcrowd funding", + "res so", + "Ġfil ib", + "ĠER ROR", + "ĠT LS", + "e gg", + "ĠIt al", + "Ġen list", + "ĠCatal onia", + "ĠSc ots", + "Ġser geant", + "Ġdiss olve", + "N H", + "Ġstand ings", + "ri que", + "I Q", + "Ġbenef iciary", + "Ġaqu arium", + "You Tube", + "ĠPower Shell", + "Ġbright est", + "ĠWar rant", + "S old", + "Writ ing", + "Ġbegin nings", + "ĠRes erved", + "ĠLatin os", + "head ing", + "Ġ4 40", + "Ġrooft op", + "AT ING", + "Ġ3 90", + "VP N", + "G s", + "k ernel", + "turn ed", + "Ġprefer able", + "Ġturn overs", + "ĠH els", + "S a", + "ĠShin ji", + "ve h", + "ĠMOD ULE", + "V iol", + "Ġex iting", + "Ġj ab", + "ĠVan illa", + "Ġac ron", + "ĠG ap", + "ber n", + "A k", + "ĠMc Gu", + "Ġend lessly", + "ĠFar age", + "ĠNo el", + "V a", + "M K", + "Ġbr ute", + "ĠK ru", + "ĠES V", + "ĠOl ivia", + "âĢ ł", + "ĠK af", + "Ġtrust ing", + "Ġh ots", + "3 24", + "Ġmal aria", + "Ġj son", + "Ġp ounding", + "ort ment", + "Count ry", + "Ġpostp oned", + "Ġunequ iv", + "? ),", + "ĠRo oney", + "udd ing", + "ĠLe ap", + "ur rence", + "sh apeshifter", + "ĠH AS", + "os ate", + "Ġca vern", + "Ġconserv atism", + "ĠB AD", + "Ġmile age", + "Ġarrest ing", + "V aults", + "Ġmix er", + "Dem ocratic", + "ĠB enson", + "Ġauth ored", + "8 000", + "Ġpro active", + "ĠSpirit ual", + "t re", + "Ġincarcer ated", + "ĠS ort", + "Ġpe aked", + "Ġwield ing", + "re ciation", + "×Ļ ×", + "P atch", + "ĠEm my", + "Ġex qu", + "tt o", + "ĠRat io", + "ĠP icks", + "ĠG ry", + "ph ant", + "Ġf ret", + "Ġeth n", + "Ġarch ived", + "% -", + "c ases", + "ĠBl aze", + "Ġim b", + "c v", + "y ss", + "im ony", + "Ġcount down", + "Ġaw akening", + "ĠTunis ia", + "ĠRe fer", + "ĠM J", + "Ġun natural", + "ĠCar negie", + "iz en", + "ĠN uggets", + "he ss", + "Ġev ils", + "64 7", + "Ġintrodu ctory", + "l oving", + "ĠMcM ahon", + "Ġambig uity", + "L abel", + "ĠAlm ighty", + "Ġcolor ing", + "ĠCl aus", + "set ting", + "N ULL", + "ĠF avorite", + "ĠS IG", + "> (", + "ĠSh iva", + "ĠMay er", + "Ġstorm ed", + "ĠCo verage", + "we apons", + "igh am", + "Ġun answered", + "Ġle ve", + "Ġc oy", + "c as", + "b ags", + "as ured", + "Se attle", + "ĠSant orum", + "ser ious", + "Ġcourage ous", + "ĠS oup", + "Ġconfisc ated", + "Ġ// /", + "Ġuncon ventional", + "Ġmom s", + "ĠRohing ya", + "ĠOrche stra", + "ĠPot ion", + "Ġdisc redit", + "ĠF IL", + "f ixed", + "ĠDe er", + "do i", + "ĠDim ension", + "Ġbureaucr ats", + "et een", + "Ġaction Group", + "oh m", + "Ġb umps", + "ĠUt ility", + "Ġsubmar ines", + "ren heit", + "re search", + "ĠShap iro", + "Ġsket ches", + "Ġde ceptive", + "ĠV il", + "es ame", + "ĠEss entially", + "Ġramp age", + "isk y", + "Ġmut tered", + "th ritis", + "Ġ23 6", + "f et", + "b ars", + "Ġpup il", + "ĠTh ou", + "o S", + "s ong", + "Ġfract ured", + "Ġre vert", + "pict ure", + "Ġcrit erion", + "us her", + "Ġreperc ussions", + "ĠV intage", + "ĠSuper intendent", + "Offic ers", + "Ġflag ged", + "Ġbl ames", + "Ġin verse", + "ograp hers", + "Ġmakes hift", + "Ġdev oid", + "Ġfoss ils", + "ĠArist otle", + "ĠFund s", + "Ġde pleted", + "ĠFl u", + "ĠY uan", + "Ġw oes", + "Ġlip id", + "Ġsit u", + "requ isites", + "Ġfurn ish", + "ĠSam ar", + "Ġshame ful", + "Ġadverse ly", + "Ġad ept", + "Ġrem orse", + "Ġmurder ous", + "uck les", + "ĠE SL", + "Ġ3 14", + "s ent", + "Ġred ef", + "ĠC ache", + "ĠP urs", + "ig ans", + "Ġ4 60", + "Ġpres criptions", + "Ġf res", + "F uck", + "ocr ates", + "Tw enty", + "ĠWe ird", + "ĠT oggle", + "ĠC alled", + "itiz ens", + "Ġp oultry", + "Ġharvest ing", + "ãĤ¦ ãĤ¹", + "Bott om", + "Ġcaution ed", + "t n", + "39 6", + "ĠNik ki", + "Ġeval uations", + "Ġharass ing", + "Ġbind ings", + "ĠMon etary", + "Ġhit ters", + "Ġadvers ary", + "un ts", + "Ġset back", + "Ġenc rypt", + "ĠC ait", + "Ġl ows", + "eng es", + "ĠN orn", + "Ġbul bs", + "Ġbott led", + "ĠVoy ager", + "3 17", + "Ġsp heres", + "p olitics", + "Ġsubt ract", + "Ġsens ations", + "Ġapp alling", + "Ġ3 16", + "Ġenvironment ally", + "ĠST EM", + "Ġpub lishes", + "5 60", + "Ġdilig ence", + "48 4", + "Ġadv ises", + "Ġpet rol", + "Ġimag ining", + "Ġpatrol s", + "ĠInt eger", + "ĠAs hes", + "act us", + "ĠRad iant", + "ĠL T", + "it ability", + "ht aking", + "Set ting", + "Ġnu anced", + "ĠRe ef", + "ĠDevelop ers", + "N i", + "pie ces", + "99 0", + "Lic ense", + "Ġlow ers", + "ĠOtt oman", + "3 27", + "oo o", + "Ġqu itting", + "mark ets", + "Beh ind", + "Ġbas in", + "Ġdoc s", + "an ie", + "fl ash", + "ct l", + "Ġcivil ized", + "ĠFuk ushima", + "\"] ,\"", + "ĠK S", + "ĠHonest ly", + "ar at", + "Ġconstruct s", + "ĠL ans", + "ĠD ire", + "ĠLI KE", + "ĠTrou ble", + "Ġwith holding", + "ĠOb livion", + "Ġsan ity", + "any a", + "Con st", + "Ġgro cer", + "ĠC elsius", + "Ġrecount ed", + "ĠW ife", + "B order", + "ate red", + "h appy", + "Ġspo iler", + "Ġlog ically", + "H all", + "Ġsucceed ing", + "Ġpoly morph", + "Ġax es", + "ĠShot gun", + "ĠS lim", + "ĠPrin ciples", + "ĠL eth", + "art a", + "Ġsc or", + "Sc reenshot", + "Ġrelax ation", + "#$ #$", + "Ġdeter rent", + "idd y", + "Ġpower less", + "Ġles bians", + "Ġch ords", + "ĠEd ited", + "se lected", + "Ġseparat ists", + "000 2", + "Ġair space", + "Ġturn around", + "Ġc unning", + "P ATH", + "P oly", + "Ġbomb ed", + "Ġt ion", + "x s", + "Ġwith hold", + "Ġw aged", + "ĠLiber ties", + "Fl ag", + "Ġcomfort ing", + "45 4", + "ĠI ris", + "are rs", + "Ġr ag", + "Ġrel ocated", + "ĠGu arant", + "Ġstrateg ically", + "Ġgam ma", + "uber ty", + "ĠLock heed", + "g res", + "Ġgr illed", + "ĠLow e", + "st ats", + "ĠR ocks", + "Ġsens ing", + "Ġrent ing", + "ĠGe ological", + "ا Ø", + "ot rop", + "Ġse w", + "Ġimproper ly", + "48 6", + "Ġâĸ ł", + "Ġstar ving", + "ĠB j", + "Disc ussion", + "3 28", + "ĠCom bo", + "ĠFix es", + "N AT", + "Ġstri ving", + "th ora", + "Ġharvest ed", + "ĠP ing", + "Ġplay ful", + "Ġaven ues", + "Ġoccup ational", + "Ġw akes", + "ĠCou rier", + "Ġdrum mer", + "ĠBrow ser", + "ĠH outh", + "it u", + "Ġapp arel", + "p aste", + "Ġhun ted", + "ĠSecond ly", + "l ain", + "X Y", + "ĠP IN", + "ic ons", + "Ġcock tails", + "Ġs izable", + "Ġhurd les", + "est inal", + "ĠRecre ation", + "Ġe co", + "64 8", + "ĠD ied", + "m int", + "Ġfinger prints", + "Ġdis pose", + "ĠBos nia", + "ts y", + "22 00", + "Ġins pected", + "ĠF ou", + "Ġf uss", + "Ġamb ush", + "ĠR ak", + "Ġmanif ested", + "Pro secut", + "Ġsuff ice", + "ren ces", + "Ġcompens ated", + "ĠC yrus", + "Ġgen us", + "ĠWolver ine", + "ĠTrend s", + "Ġh ikes", + "ĠSe en", + "Ġen rol", + "C old", + "Ġpol itely", + "ĠSl av", + "ĠRu pert", + "Ġey ewitness", + "ĠAl to", + "Ġun comp", + "Ġposter ior", + "M ust", + "ĠHer z", + "Ġprogress ively", + "Ġ23 4", + "Ġind ifference", + "ĠCunning ham", + "Ġacadem ia", + "Ġse wer", + "Ġast ounding", + "ĠA ES", + "r ather", + "Ġeld est", + "Ġclim bs", + "ĠAdd s", + "Ġout cry", + "Ġcont ag", + "ĠH ouses", + "Ġpe pt", + "ĠMel ania", + "interest ed", + "ĠU CH", + "ĠR oots", + "ĠHub bard", + "ĠT BD", + "ĠRoman ian", + "fil ename", + "St one", + "ĠIm pl", + "Ġchromos ome", + "C le", + "d x", + "Ġscram bled", + "ĠP t", + "Ġ24 2", + "OP LE", + "Ġtremend ously", + "St reet", + "Ġcra ving", + "Ġbund led", + "ĠR G", + "p ipe", + "Ġinj uring", + "Ġarc ane", + "Part icip", + "ĠHero ic", + "st y", + "Ġto pping", + "ĠTemp est", + "rent ices", + "b h", + "Ġpar anoia", + "ĠUnic ode", + "Ġegreg ious", + "Ġ\\ '", + "ĠOsw ald", + "Ġgra vel", + "ĠSim psons", + "Ġbl and", + "ĠGuant anamo", + "Writ er", + "lin ers", + "ĠD ice", + "J C", + "Ġpar ity", + "Ġs ided", + "Ġ23 7", + "ĠPyr rha", + "at ters", + "d k", + "F ine", + "comp an", + "Ġform ulated", + "ĠId ol", + "il ers", + "hem oth", + "ĠF av", + "Ġintr usion", + "Ġcar rots", + "ĠL ayer", + "ĠH acker", + "Ġ ----------------", + "Ġmoder ation", + "é ģ", + "oc oc", + "Ġcharacter ize", + "ĠTe resa", + "Ġsocio economic", + "Ġper k", + "ĠParticip ation", + "tr aining", + "ĠPaul o", + "ph ys", + "Ġtrust worthy", + "Ġembod ied", + "ĠMer ch", + "c urrency", + "ĠPrior ity", + "Ġte asing", + "Ġabsor bing", + "Ġunf inished", + "ĠCompar ison", + "Ġdis ple", + "writ ers", + "Ġprofess ions", + "ĠPengu in", + "Ġang rily", + "ĠL INK", + "68 8", + "ĠCor respond", + "Ġprev ailed", + "Ġcart el", + "l p", + "as ms", + "ĠRed emption", + "ĠIslam ists", + "effect s", + "d ose", + "ĠL atter", + "ĠHal ifax", + "Ġv as", + "ĠTop ics", + "ĠN amed", + "advert ising", + "zz a", + "IC ES", + "Ġret arded", + "ach able", + "ĠPupp et", + "ĠItem Level", + "Ġret ract", + "Ġident ifiable", + "A aron", + "ĠB uster", + "s ol", + "hel le", + "as semb", + "H ope", + "r anged", + "B a", + "ĠP urch", + "é Ģ", + "ĠSir i", + "Ġarri vals", + "Ġ19 12", + "Ġshort ened", + "Ġ3 12", + "Ġdiscrep ancy", + "ĠTem perature", + "ĠWal ton", + "Ġkind erg", + "p olit", + "Ġrem ix", + "Ġconnect ors", + "ãĥĺ ãĥ©", + "ĠKazakh stan", + "dom inated", + "Ġsu gars", + "im ble", + "ĠPan ic", + "ĠDem and", + "ĠCol ony", + "on en", + "ĠM ER", + "7 75", + "ur ia", + "aza ar", + "ĠDeg ree", + "P ri", + "Ġsun shine", + "Ġ25 1", + "Ġpsychedel ic", + "Ġdigit ally", + "ĠBra un", + "Ġsh immer", + "Ġsh ave", + "ĠTel esc", + "ĠAst ral", + "ĠVenezuel an", + "ĠO G", + "Ġc rawling", + "Int eg", + "ĠFe ather", + "Ġunfold ing", + "Ġappropri ation", + "Ġè£ı è", + "ĠMob ility", + "ĠN ey", + "- .", + "b ilt", + "L IN", + "ĠT ube", + "ĠCon versely", + "Ġkey boards", + "ĠC ao", + "Ġover th", + "Ġla ure", + ">> \\", + "ĠV iper", + "ach a", + "Off set", + "ĠR aleigh", + "ĠJ ae", + "J ordan", + "j p", + "Ġtotal itarian", + "Connect or", + "Ġobserv es", + "ĠSpart an", + "ĠIm mediately", + "ĠSc al", + "C ool", + "Ġt aps", + "Ġro ar", + "P ast", + "Ġch ars", + "ĠB ender", + "ĠShe ldon", + "Ġpain ter", + "Ġbe acon", + "ĠCreat ures", + "Ġdownt urn", + "Ġh inder", + "ĠAnd romeda", + "à Ľ", + "cc oli", + "ĠF itness", + "et rical", + "Ġutil izes", + "Ġsen ate", + "Ġen semble", + "Ġche ers", + "T W", + "Ġaff luent", + "k il", + "ry lic", + "ord ering", + "Com puter", + "Ġgru esome", + "ost ics", + "ĠUb isoft", + "ĠKel ley", + "Ġw rench", + "Ġbourgeois ie", + "IB LE", + "ĠPrest on", + "w orn", + "ar ist", + "reat ing", + "Ġst ained", + "ar ine", + "Ġsl ime", + "EN N", + "Ġche sts", + "Ġground water", + "ann ot", + "ĠTr ay", + "ĠLoc ke", + "ĠC TR", + "Ġd udes", + "ĠEx ternal", + "ĠDec oder", + "Ġpar amed", + "ĠMed line", + "80 9", + "ĠD inner", + "rup al", + "g z", + "ĠG um", + "ĠDem o", + "j ee", + "Ġd h", + "ber man", + "arch s", + "Ġen qu", + "ĠEp stein", + "Ġdevast ation", + "Ġfriends hips", + "ĠAr d", + "Ġ23 1", + "ĠRub in", + "ĠDist ance", + "Ġsp urred", + "Ġd ossier", + "Ġover looking", + "\\\\\\\\\\\\\\\\ \\\\\\\\\\\\\\\\", + "Fore st", + "ĠCom es", + "\\ \",", + "ĠIran ians", + "Ġf ixtures", + "L aughs", + "Ġcur ry", + "ĠKing ston", + "Ġsqu ash", + "Ġcat alogue", + "Ġabnormal ities", + "Ġdigest ive", + ".... .....", + "Ġsubord inate", + "og ly", + "Ġ24 9", + "M iddle", + "Ġmass ac", + "Ġburg ers", + "Ġdown stairs", + "Ġ19 31", + "39 4", + "ĠV G", + "Ġl asers", + "ĠS ikh", + "ĠAlex a", + "der ived", + "Ġcycl ist", + "ãģ® éŃĶ", + "onel iness", + "!!!! !!!!", + "Ġbuff s", + "leg ate", + "Ġrap ing", + "Ġrecomm ending", + "ro red", + "Ġmult icultural", + "un ique", + "Ġbusiness men", + "Ġune asy", + "ĠM AP", + "Ġdisp ersed", + "cipl ine", + "J ess", + "ĠK erala", + "å §", + "Ġabst raction", + "Sur v", + "U h", + "Ġprin ters", + "ij a", + "ow der", + "Ġanalog ous", + "ĠA SP", + "af er", + "Ġunfold ed", + "Ġlevel ing", + "Ġbre ached", + "ĠH earing", + "Ġn at", + "Ġtransl ating", + "crit ical", + "Ġant agonist", + "ĠYes terday", + "Ġfuzz y", + "w ash", + "m ere", + "Ġbe wild", + "ĠM ae", + "V irgin", + "ph rase", + "Ġsign aled", + "ĠH IGH", + "Ġprot ester", + "Ġgar ner", + "unk nown", + "Ġk ay", + "Ġabduct ed", + "Ġst alking", + "am n", + "Ġdes erving", + "ĠR iv", + "ĠJ orge", + "Ġscratch ing", + "ĠS aving", + "ip ing", + "Ġte ase", + "Ġmission ary", + "ĠMor row", + "T IME", + "P resent", + "Ġchem otherapy", + "tern ess", + "ĠH omes", + "ĠP urdue", + "Ġst aunch", + "ĠWhit ney", + "ĠTH ERE", + "Î ¼", + "iat us", + "ĠErn est", + "ĠDe ploy", + "Ġcove ted", + "F ML", + "ĠDial ogue", + "Ġex ited", + "f ruit", + "Ġner d", + "\":\" \",\"", + "Ġv ivo", + "ru ly", + "4 60", + "ĠAm en", + "rehens ible", + "Ġâ ĺ", + "D IR", + "Ġad herence", + "Ġche w", + "ĠCo ke", + "ĠSerge i", + "dig ital", + "ĠNe ck", + "g ently", + "enth al", + "/ )", + "Ġwe ary", + "Ġgu ise", + "ĠConc ord", + "ĠOn ion", + "at cher", + "Ġb inge", + "ĠDirect ive", + "Ġman ned", + "ans k", + "Ġill usions", + "Ġbillion aires", + "38 3", + "oly n", + "odynam ic", + "ĠWhe at", + "ĠA lic", + "Ġcol oured", + "ĠN AFTA", + "ab o", + "Ġmac ros", + "ind ependent", + "s weet", + "Ġsp ac", + "ĠK abul", + "Ġ Ä", + "em e", + "Ġdict ated", + "Ġsh outs", + "= {", + "Ġr ipping", + "ĠSh ay", + "ĠCr icket", + "direct ed", + "Ġanalys ed", + "ĠWAR RANT", + "ag ons", + "ĠBlaz ers", + "Ġche ered", + "Ġar ithmetic", + "ĠTan z", + "37 3", + "ĠFl ags", + "Ġ29 5", + "Ġw itches", + "ĠIn cluded", + "ĠG ained", + "ĠBl ades", + "G am", + "ĠSam antha", + "ĠAtl antis", + "ĠPr att", + "Ġspo iled", + "ĠI B", + "ĠRam irez", + "Pro bably", + "re ro", + "ĠN g", + "ĠWar lock", + "t p", + "Ġover he", + "Ġadministr ations", + "Ġt int", + "Ġreg iment", + "Ġpist ols", + "Ġblank ets", + "Ġep ist", + "Ġbowl s", + "Ġhydra ulic", + "Ġde an", + "Ġj ung", + "Ġasc end", + "70 5", + "ĠSant iago", + "à ®", + "Ġun avoid", + "ĠSh aman", + "re b", + "Ġstem ming", + "99 8", + "ĠM G", + "st icks", + "esthes ia", + "ER O", + "Ġmor bid", + "ĠGr ill", + "ĠP oe", + "any l", + "Ġdele ting", + "ĠSurve illance", + "Ġdirect ives", + "Ġiter ations", + "ĠR ox", + "ĠMil ky", + "F ather", + "Ġpat ented", + "44 7", + "Ġprec ursor", + "Ġm aiden", + "ĠP hen", + "ĠVe gan", + "ĠPat ent", + "K elly", + "Redd itor", + "Ġn ods", + "Ġvent ilation", + "ĠSchwar z", + "Ġw izards", + "Ġomin ous", + "ĠHe ads", + "ĠB G", + "Ġl umber", + "ĠSp iel", + "Ġis Enabled", + "Ġancest ral", + "ĠSh ips", + "Ġwrest ler", + "ph i", + "Ġy uan", + "ĠRebell ion", + "Ġice berg", + "Ġmag ically", + "Ġdivers ion", + "ar ro", + "yth m", + "ĠR iders", + "ĠRob bie", + "ĠK ara", + "ĠMain tenance", + "ĠHer b", + "Ġhar ms", + "p acked", + "ĠFe instein", + "Ġmarry ing", + "Ġbl ending", + "ĠR ates", + "Ġ18 80", + "Ġwr ink", + "ĠUn ch", + "ĠTor ch", + "desc ribed", + "Ġhuman oid", + "ilit ating", + "ĠCon v", + "ĠFe ld", + "IGH TS", + "Ġwhistlebl ower", + "ort mund", + "ets y", + "arre tt", + "ĠMon o", + "ĠI ke", + "ĠC NBC", + "ĠW AY", + "ĠMD MA", + "ĠIndividual s", + "Ġsupplement al", + "Ġpower house", + "ĠSt ru", + "F ocus", + "aph ael", + "ĠCol leg", + "att i", + "Z A", + "Ġp erenn", + "ĠSign ature", + "ĠRod ney", + "Ġcub es", + "idd led", + "ĠD ante", + "ĠIN V", + "iling ual", + "ĠC th", + "Ġso fa", + "Ġintimid ate", + "ĠR oe", + "ĠDi plom", + "ĠCount ries", + "ays on", + "Ġextrad ition", + "Ġdis abling", + "ĠCard iff", + "Ġmemor andum", + "ĠTr ace", + "Ġ?? ?", + "se ctor", + "ĠRou hani", + "ĠY ates", + "ĠFree ze", + "Ġbl adder", + "M otor", + "ĠProm ise", + "ant asy", + "Ġforesee able", + "ĠC ologne", + "cont ainer", + "ĠTre es", + "ĠG ors", + "ĠSin clair", + "Ġbar ring", + "key e", + "Ġsl ashed", + "ĠStat istical", + "é ĩ", + "Ġâĸ º", + "All ows", + "Ġhum ility", + "Ġdr illed", + "ĠF urn", + "44 3", + "Ġse wage", + "Ġhome page", + "Ġcour tyard", + "Ġv ile", + "Ġsubsid iaries", + "aj o", + "direct ory", + "Ġam mon", + "V ers", + "charg es", + "Ġ} }", + "ĠCh ains", + "Ġ24 6", + "n ob", + "Ġper cept", + "Ġg rit", + "Ġfisher men", + "ĠIraq is", + "ĠDIS TR", + "ĠF ULL", + "ĠEval uation", + "g raph", + "at ial", + "Ġcooper ating", + "Ġmel an", + "Ġenlight ened", + "Ġal i", + "t ailed", + "Ġsal ute", + "Ġweak est", + "ĠBull dogs", + "U A", + "ĠAll oy", + "Ġsem en", + "oc ene", + "ĠWilliam son", + "s pr", + ", âĢĶ", + "ĠG F", + "itt ens", + "Be at", + "ĠJ unk", + "iph ate", + "ĠFarm ers", + "ĠBit coins", + "ig ers", + "d h", + "ĠL oyal", + "p ayer", + "Ġentert ained", + "Ġpenn ed", + "Ġcoup on", + "Que ue", + "Ġweaken ing", + "c arry", + "Ġunderest imate", + "Ġshoot out", + "Ġcharism atic", + "ĠProced ure", + "Ġprud ent", + "in ances", + "Ġric hes", + "Ġcort ical", + "Ġstr ides", + "Ġd rib", + "ĠOil ers", + "5 40", + "ĠPer form", + "ĠBang kok", + "Ġe uth", + "S ER", + "Ġsimpl istic", + "t ops", + "camp aign", + "Q uality", + "Ġimpover ished", + "ĠEisen hower", + "Ġaug ment", + "ĠH arden", + "Ġinterven ed", + "Ġlist ens", + "ĠK ok", + "Ġs age", + "Ġrub bish", + "ĠD ed", + "Ġm ull", + "pe lling", + "Ġvide ot", + "Produ ction", + "D J", + "m iah", + "Ġadapt ations", + "Ġmed ically", + "Ġboard ed", + "Ġarrog ance", + "Ġscra pped", + "Ġopp ress", + "FORM ATION", + "Ġj unction", + "4 15", + "EE EE", + "S kill", + "Ġsub du", + "ĠSug gest", + "ĠP ett", + "Ġle tt", + "ĠMan ip", + "ĠC af", + "ĠCooper ation", + "T her", + "Ġreg ained", + "¶ æ", + "ref lect", + "Ġth ugs", + "ĠShel by", + "Ġdict ates", + "ĠWe iner", + "ĠH ale", + "Ġbatt leground", + "s child", + "Ġcond ol", + "h unt", + "osit ories", + "Ġacc uses", + "Fil ename", + "Ġsh ri", + "Ġmotiv ate", + "Ġreflect ions", + "N ull", + "ĠL obby", + "¥ µ", + "ĠS ATA", + "ĠBack up", + "Ñ ĥ", + "n in", + "ĠCor rection", + "Ġju icy", + "ut ra", + "ĠP ric", + "Ġrest raining", + "ĠAir bnb", + "ĠAr rest", + "Ġappropri ations", + "Ġsl opes", + "Ġmans laughter", + "Ġwork ings", + "ĠH uss", + "ĠF rey", + "Le ave", + "ĠHarm ony", + "ĠF eder", + "Ġ4 30", + "Ġt rench", + "Ġglad ly", + "Ġbull pen", + "ĠG au", + "b ones", + "Ġgro ove", + "Ġpre text", + "ã ħĭ", + "Ġtransm itter", + "ĠComp onent", + "Ġunder age", + "ĠEm pires", + "T ile", + "Ġo y", + "ĠMar vin", + "ĠC AS", + "Ġbl oss", + "Ġrepl icated", + "ĠMar iners", + "Marc us", + "ĠBl ocks", + "Ġliber ated", + "Ġbutter fly", + "Fe el", + "Ġfer mentation", + "Ġyou tube", + "Ġoff end", + "ĠTer m", + "res ist", + "Ġcess ation", + "Ġinsurg ency", + "Ġb ir", + "ĠRa ise", + "59 5", + "Ġhypothes es", + "50 2", + "Ġpl aque", + "ocr at", + "Ġjack ets", + "ĠHuff Post", + "am ong", + "Ġconf er", + "48 7", + "ĠL illy", + "Ġadapt ing", + "ĠF ay", + "Ġsh oved", + "ve c", + "Ġref ine", + "Ġg on", + "Ġgun men", + "z ai", + "ĠShut tle", + "ĠI zan", + "Ġ19 13", + "Ġple thora", + "· ·", + "Ġ5 10", + "Ġp uberty", + "Ġ24 1", + "ĠWe alth", + "ĠAl ma", + "ĠM EM", + "ĠAd ults", + "C as", + "pr ison", + "R ace", + "Ġwater proof", + "Ġathlet icism", + "Ġcapital ize", + "ĠJu ice", + "Ġillum inated", + "ĠP ascal", + "Ġirrit ation", + "ĠWitness es", + "ad le", + "ĠAst ro", + "Ġf ax", + "ĠEl vis", + "Prim ary", + "ĠL ich", + "ĠEl ves", + "Ġres iding", + "Ġst umble", + "3 19", + "ĠP KK", + "Ġadvers aries", + "D OS", + "ĠR itual", + "Ġsm ear", + "Ġar son", + "ident al", + "Ġsc ant", + "Ġmon archy", + "Ġhal ftime", + "Ġresid ue", + "Ġind ign", + "ĠSh aun", + "ĠEl m", + "aur i", + "A ff", + "W ATCH", + "ĠLy on", + "hel ps", + "36 1", + "Ġlobby ist", + "Ġdimin ishing", + "Ġout breaks", + "Ġgo ats", + "f avorite", + "ĠN ah", + "son ian", + "ĠBo oster", + "Ġsand box", + "ĠF are", + "ĠMalt a", + "Ġatt Rot", + "ĠM OR", + "ld e", + "Ġnavig ating", + "T ouch", + "Ġunt rue", + "ĠDis aster", + "Ġl udicrous", + "Pass word", + "ĠJ FK", + "blog spot", + "4 16", + "ĠUN DER", + "ern al", + "Ġdelay ing", + "T OP", + "Ġimpl ants", + "ĠAV G", + "ĠH uge", + "att r", + "Ġjournal istic", + "ĠPe yton", + "ĠI A", + "R ap", + "go al", + "ĠProgram me", + "Ġsm ashing", + "w ives", + "print ln", + "ĠPl ague", + "in us", + "EE P", + "Ġcru iser", + "ĠPar ish", + "umin ium", + "Ġoccup ants", + "ĠJ ihad", + "m op", + "Ġp int", + "Ġhe ct", + "ĠMe cca", + "direct or", + "ĠFund ing", + "ĠM ixed", + "Ġst ag", + "T ier", + "Ġg ust", + "Ġbright ly", + "ors i", + "Ġup hill", + "R D", + "Ġles ions", + "ĠBund y", + "liv ious", + "Ġbi ologist", + "ĠFac ulty", + "ĠAuthor ization", + "Ġ24 4", + "All ow", + "ï ¸", + "ĠGi ul", + "Ġpert inent", + "ot aur", + "es se", + "ĠRo of", + "Ġunman ned", + "35 1", + "ĠSh ak", + "ĠO rient", + "Ġend anger", + "D ir", + "Ġrepl en", + "ed ient", + "Ġtail or", + "Ġgad gets", + "Ġaud ible", + "âĺ Ĩ", + "N ice", + "Ġbomb ard", + "ĠR ape", + "Ġdef iance", + "ĠTW O", + "ĠFilip ino", + "Ġunaff ected", + "erv atives", + "Ġso ared", + "ĠBol ton", + "Ġcomprom ising", + "ĠBrew ers", + "R AL", + "ĠA HL", + "icy cle", + "Ġv ampires", + "Ġdi pped", + "oy er", + "ĠX III", + "Ġsidew ays", + "ĠW aste", + "ĠD iss", + "ĠâĶľ âĶĢâĶĢ", + "$ .", + "Ġhabit ats", + "ĠBe ef", + "tr uth", + "tr ained", + "spl it", + "R us", + "And y", + "ĠB ram", + "RE P", + "p id", + "è£ ħ", + "ĠMut ant", + "An im", + "ĠMar ina", + "Ġfut ile", + "hig hest", + "f requency", + "Ġepile psy", + "Ġcop ing", + "Ġconc ise", + "Ġtr acing", + "ĠS UN", + "pan el", + "ĠSoph ie", + "ĠCrow ley", + "ĠAd olf", + "ĠShoot er", + "Ġsh aky", + "ĠI G", + "ĠL ies", + "ĠBar ber", + "p kg", + "Ġupt ake", + "Ġpred atory", + "UL TS", + "/ **", + "Ġintox icated", + "ĠWest brook", + "od der", + "he ment", + "Ġbas eman", + "AP D", + "st orage", + "ĠFif ty", + "ed itor", + "G EN", + "UT ION", + "ir ting", + "Ġse wing", + "r ift", + "Ġag ony", + "ĠS ands", + "Ġ25 4", + "C ash", + "Ġl odge", + "Ġp unt", + "N atural", + "ĠIde as", + "Ġerrone ous", + "ĠSens or", + "ĠHann ity", + "Ġ19 21", + "Ġm ould", + "ĠG on", + "kay a", + "Ġanonym ously", + "ĠK EY", + "Ġsim ulator", + "W inter", + "Ġstream ed", + "50 7", + "? \",", + "Ġte ased", + "Ġco efficient", + "Ġwart ime", + "ĠTH R", + "' '.", + "ĠBank ing", + "mp ire", + "Ġf andom", + "Ġl ia", + "G a", + "Ġdown hill", + "Ġinterpre ting", + "Ind ividual", + "N orm", + "Ġjealous y", + "bit coin", + "Ġple asures", + "ĠToy s", + "ĠChev rolet", + "ĠAd visor", + "IZ E", + "Ġrecept ions", + "70 6", + "C ro", + "Ġ26 2", + "Ġcit rus", + "ir u", + "Review er", + "ject ed", + "U ES", + "an z", + "19 81", + "ĠWork er", + "Ġcompl ied", + "ores cent", + "contin ental", + "T on", + "ĠPr ism", + "ĠShe ep", + "Ġ28 8", + "n ox", + "ĠV og", + "O rd", + "Ġreal ms", + "te k", + "Ġirrig ation", + "Ġbicy cles", + "Ġelectron ically", + "p oly", + "t all", + "() );", + "Ġaest hetics", + "ĠInteg rated", + "Expl ore", + "Ġd unk", + "47 6", + "p ain", + "ĠJac ques", + "ĠD mit", + "Fram es", + "Ġreun ited", + "Ġhum id", + "D ro", + "P olitical", + "Ġyouth ful", + "Ġent ails", + "Ġmosqu ito", + "36 3", + "spe cies", + "Ġcoord inating", + "ĠMay hem", + "ĠMagn us", + "M ount", + "Impro ved", + "ĠST ATE", + "ATT LE", + "Ġflow ed", + "Ġtack led", + "Ġfashion ed", + "Ġre organ", + "iv ari", + "f inger", + "Ġreluct antly", + "et ting", + "ĠV and", + "you ng", + "ĠGar land", + "Ġpresum ption", + "Ġamen ities", + "ĠPle asant", + "on ential", + "ĠO xy", + "Ġmor als", + "ĠY ah", + "Read y", + "Sim on", + "En h", + "D emon", + "Ġcl ich", + "Mon itor", + "ĠD U", + "Ġwel comes", + "Ġstand out", + "Ġdread ful", + "Ġban anas", + "Ġball oons", + "h ooting", + "bas ic", + "Ġsuff ix", + "Ġd uly", + "can o", + "Ch ain", + "at os", + "Ġgeop olitical", + "Ġ( &", + "ĠGem ini", + "ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ", + "Ġacqu itted", + "L uck", + "prot ect", + "10 24", + "Ġsc arcity", + "Ġmind fulness", + "ec ided", + "D N", + "pr ime", + "ĠPres idents", + "ĠVID EO", + "Ġ( âĪĴ", + "add ock", + "N OR", + "ĠP ru", + "p un", + "ĠL OL", + ")) ))", + "ĠL iqu", + "ĠS AS", + "Ġsty ling", + "Ġpunish ments", + "Ġnum b", + "Ġasc ertain", + "ĠRock ies", + "f lu", + "Th umbnail", + "Ġperpet rated", + "ĠSem i", + "Ġdis arm", + "ĠOld er", + "ĠEx ception", + "Ġexponent ially", + "ĠCommun ities", + "Ġabol ish", + "ĠPart ner", + "pt oms", + "Ġ7 77", + "ĠFo ley", + "ĠC ases", + "Ġgre ase", + "ĠReb irth", + "G round", + "Ġ; )", + "ĠDoct rine", + "ik ini", + "Y e", + "ĠBl ossom", + "Ġpers ists", + "b ill", + "Ġinf usion", + "Ġbud dies", + "9 11", + "ĠPat ient", + "Ġdem os", + "Ġacquaint ance", + "ĠP aw", + "at ari", + "Ġx ml", + "Ġfasc ination", + "ĠSer ve", + "Ï Ĥ", + "br anded", + "Ġa z", + "Return s", + "Ġover shadow", + "Ġro am", + "Ġspeed y", + "n umbered", + "hel ial", + "Ġdisc iple", + "Ġass urances", + "g iven", + "pect ing", + "ĠN atalie", + "çĶ °", + "Ġmosquit oes", + "rote in", + "Ġnumer ic", + "Ġindepend ents", + "Ġtrans itional", + "Ġreaction ary", + "ĠMech dragon", + "do ctor", + "Ġshort est", + "Ġsequ ential", + "ĠB ac", + "ĠAccount s", + "ãģ Į", + "ach y", + "ract ive", + "ĠReg iment", + "Ġbreat htaking", + "ffic iency", + "ĠB ates", + "Ġ3 11", + "Ġward robe", + "ft s", + "ĠBer k", + "Sim ply", + "ĠRivers ide", + "iver ing", + "ident ial", + "lu cent", + "Ġen riched", + "ĠCon ver", + "ĠG iving", + "ãĥ Ļ", + "Ġlegal ize", + "ĠF TC", + "Ġfre aking", + "M ix", + "Ġter restrial", + "es ian", + "ci ents", + "W ing", + "LO AD", + "Ġled ge", + "ĠViol ent", + "ĠMet all", + "Ġ30 8", + "Ġs outheastern", + "hett o", + "M eat", + "Ġslow down", + "Ġret reated", + "Jere my", + "end as", + "**** *", + "er ic", + "Ġre ins", + "opp able", + "ĠHuman ity", + "ear ances", + "rig an", + "C amera", + "Ġwa ivers", + "s oc", + "Ġalter ation", + "trans form", + "ĠC emetery", + "50 6", + "Ġindef inite", + "Ġstim ulating", + "y g", + "60 3", + "ĠS op", + "Ġdescript ive", + "Ph ase", + "ĠEd mund", + "Ġpneum onia", + "vent us", + "A mb", + "Ġlabor atories", + "ĠEx clusive", + "ug ar", + "W ere", + "Ġmalf unction", + "Ġhomosexual s", + "Ġ---- ---", + "un i", + "Ġturb ines", + "ĠEqu ity", + "D u", + "Ġmind ed", + "ĠR H", + "ĠBlack hawks", + "Ġfe ats", + "Ġ17 00", + "re pl", + "36 2", + "lad en", + "Ġindisp ensable", + "ly ss", + "tt i", + "Ġre el", + "Ġdiver ted", + "Ġlik eness", + "Ġsubscript ions", + "Ġfing ert", + "Ġfil thy", + "dest ruct", + "d raft", + "ĠBernard ino", + "l aunch", + "Ġper plex", + "ĠS UM", + "car b", + "Ġswe ater", + "ĠVent ure", + "ĠJ ag", + "ĠCele b", + "ĠV oters", + "Ġstead fast", + "Ġathlet ics", + "ĠHans on", + "ĠDr ac", + "Tr acker", + "Ġcomm end", + "ĠPres idency", + "ĠD ID", + "in formed", + "Ġweb page", + "P retty", + "Ġforce fully", + "ãĥĥ ãĤ¯", + "Ġrel ocation", + "Ġsat ire", + "â ī", + "ĠSunder land", + "æ Ħ", + "V oice", + "???? ????", + "Ġinform ant", + "Ġbow el", + "ĠUn iform", + "Ġ ...\"", + "Ġpur ge", + "Ġpic nic", + "ĠU mb", + "ĠU PDATE", + "ĠSapp hire", + "ĠSt all", + "le arn", + "Ġobject ively", + "Ġob liter", + "Ġlooph ole", + "Ġjour neys", + "Ġo mission", + "Pro s", + "ĠSid ney", + "pl oma", + "Ġspray ed", + "Ġg uru", + "Ġtra itor", + "Ġtim et", + "Ġsn apping", + "ĠSe vent", + "urn al", + "ĠUk ip", + "Ġb owed", + "por al", + "l iberal", + "R os", + "Quest ions", + "i OS", + "Ġsummar ize", + "ST AT", + "Ġ18 50", + "ap est", + "Ġl ender", + "ĠVari able", + "br inging", + "ĠL ORD", + ", )", + "Ġcollaps es", + "x iety", + "ĠN ed", + "Y D", + "ĠSch a", + "Ġantib ody", + "Ġdis band", + "y re", + "ill usion", + "Ġro ver", + "s hed", + "ĠHiro sh", + "cc i", + "Ġcal am", + "ĠMort on", + "P interest", + "Ġ19 28", + "ĠE uras", + "ord es", + "Ġf ences", + "ĠIn ventory", + "ĠVal encia", + "ĠU d", + "ĠT iff", + "Ġsqu e", + "Ġqu otation", + "Ġtroubles ome", + "er ker", + "QU EST", + "ĠKing doms", + "s outh", + "Ġle vy", + "Pr ince", + "ĠSt ing", + "Ġnick named", + "Ġapp e", + "Ġphot ographic", + "Ġcorp us", + "re ference", + "ĠT rog", + "U nt", + ") =(", + "ĠLat via", + "Ġactiv ating", + "Ġlicense e", + "Ġdispar ities", + "ĠNews letter", + "ãĥĥ ãĥĪ", + "Ġfree ing", + "ĠJe ep", + "ĠPer ception", + "ins k", + "Ġsil icone", + "ĠHay den", + "Le an", + "ĠSuz uki", + "ibr arian", + "66 8", + "Ġsp or", + "Ġcorrel ations", + "ag hetti", + "Ġtu ber", + "ĠIP CC", + "il us", + "ĠV u", + "Ġwealth iest", + "ĠCarb uncle", + "an za", + "Ġfool ed", + "ĠZ ur", + "Ġd addy", + "ran o", + "il ian", + "Ġknock out", + "f man", + "requ ired", + "ĠWik ileaks", + "ĠD uffy", + "ON T", + "Ġins ol", + "ĠObject s", + "Ġb ou", + "ĠNord ic", + "ĠIns ert", + "sc an", + "Ġd ancers", + "Ġid iots", + "major ity", + "ĠNev ille", + "ĠFree BSD", + "Ġt art", + "pan ic", + "69 0", + "Ġcoc oa", + "Ġsam pled", + "Ġlook up", + "Ind ust", + "Ġinject ions", + "gen re", + "Ġa u", + "Ġroad way", + "Ġgen itals", + "K ind", + "ĠEx aminer", + "ĠY az", + "F resh", + "Ġpar alysis", + "ĠAl uminum", + "Ġre ap", + "ok é", + "Ġsl oppy", + "ĠTun nel", + "pos ium", + "ner y", + "en ic", + "Ġher bal", + "ĠOut er", + "ĠBuild er", + "Ġinc ur", + "Ġide ologies", + "Ġback ups", + "cons uming", + "ĠDet ect", + "de ck", + "ĠKN OW", + "ĠG ret", + "ĠM IC", + "Ġtough ness", + "ĠEx hibit", + "Ġh ive", + "L es", + "ĠSCH OOL", + "ĠAt ari", + "ald e", + "ĠN ull", + "and estine", + "m ouse", + "Ġbrig ade", + "48 9", + "Ġrev ol", + "ĠLaw son", + "ĠW ah", + "op oly", + "eb ted", + "ĠS aunders", + "Ġ3 13", + "ĠW inc", + "Ġtab oo", + "ĠHel met", + "Ġw edge", + "ch ip", + "ĠT ina", + "b g", + "Ġinf uri", + "r n", + "Ġanomal ies", + "ĠSy nc", + "ĠEx am", + "ĠComm it", + "ĠDi ary", + "ĠALS O", + "ĠDe bor", + "omed ical", + "Ġcomprehens ion", + "6 55", + "Ġempower ing", + "Ġ ire", + "Ġju ices", + "ĠE TH", + "ĠBox ing", + "=\" /", + "Ġfacilit ated", + "p oke", + "ĠPars ons", + "ĠMod er", + "tra vel", + "Ġcivil izations", + "Ġliber tarians", + "Ġrun e", + "ĠCl arks", + "at hed", + "Ġcampaign ers", + "ĠDis patch", + "ĠFah renheit", + "ĠCap com", + "-------- --", + "Ġl ace", + "Ġdr aining", + "Ġl iner", + "ĠArt ificial", + "é n", + "t ask", + "] ).", + "ĠGM O", + "ĠOper ator", + "ord inary", + "ĠInf luence", + "ĠU ps", + "Ġpot ency", + "uss en", + "osp ons", + "ĠSw im", + "ĠDead line", + "Un ity", + "Ġcul inary", + "Ġenlight enment", + "Ġwe arer", + "Ġmin ed", + "Ġp ly", + "Ġinc est", + "ĠDVD s", + "W alk", + "B TC", + "Tr ade", + "Ġdev al", + "ib and", + "ĠOvers ight", + "Palest inian", + "Ġd art", + "Ġm ul", + "L R", + "Ġrem ovable", + "ĠReal ms", + "ì Ŀ", + "Ġmisc ar", + "ĠV ulkan", + "68 5", + "è re", + "ĠS ap", + "Ġmer ging", + "ĠCar ly", + "che ster", + "Ġbr isk", + "Ġlux urious", + "ĠGener ator", + "Ġbit terness", + "Ġed ible", + "Ġ24 3", + "T G", + "Ġrect angle", + "With No", + "bel ow", + "J enn", + "Ġdark est", + "Ġh itch", + "Ġdos age", + "Ġsc aven", + "ĠK eller", + "ĠIllust rated", + "Certain ly", + "ĠMaver icks", + "Marg inal", + "Ġdiarr hea", + "Ġenorm ously", + "Ġ9 99", + "sh r", + "qu art", + "Ġadam ant", + "ĠM ew", + "Ġren ovation", + "Ġcerv ical", + "ĠPercent age", + "en ers", + "ĠKim ber", + "Ġflo ats", + "Ġde x", + "ĠW itcher", + "ĠSwan sea", + "d m", + "Ġsal ty", + "y ellow", + "Ġca pe", + "ĠDr ain", + "ĠPaul a", + "ĠTol edo", + "les i", + "Mag azine", + "ĠW ick", + "ĠM n", + "ĠA ck", + "ĠR iding", + "AS ON", + "Ġhom ophobic", + "AR P", + "Ġwand ered", + "C PU", + "ood oo", + "ĠP ipe", + "Ġtight ening", + "ĠBut t", + "3 18", + "Ġdesert ed", + "S ession", + "Ġfacilit ating", + "J ump", + "Ġemer gencies", + "OW ER", + "Ġexhaust ive", + "ĠAF TER", + "Ġheart beat", + "ĠLab el", + "ack y", + "ĠCert ified", + "ilt ration", + "Z e", + "ĠU tt", + "Ġ13 00", + "Ġpres ume", + "ĠDis p", + "Ġsur ged", + "Ġdoll s", + "Col umb", + "Ġchim pan", + "ĠR azor", + "Ġt icks", + "Ġcouncill or", + "Ġpilgr image", + "ĠReb els", + "ĠQ C", + "ĠA uction", + "x ia", + "ik k", + "b red", + "Ġinsert ion", + "Ġco arse", + "d B", + "SE E", + "ĠZ ap", + "ĠF oo", + "Ġcontem por", + "ĠQuarter ly", + "ot ions", + "ĠAl chemist", + "ĠT rey", + "ĠDu o", + "S weet", + "80 4", + "ĠGi ov", + "Ġfun n", + "N in", + "h off", + "Ġram ifications", + "Ġ19 22", + "ĠExper ts", + "az es", + "Ġgar ments", + "ar ial", + "ĠN ab", + "Ġ25 7", + "ĠV ed", + "Ġhum orous", + "ĠPom pe", + "Ġn ylon", + "Ġlur king", + "ĠSerge y", + "ĠMatt is", + "Ġmisogyn y", + "ĠComp onents", + "ĠWatch ing", + "ĠF olk", + "ract ical", + "B ush", + "Ġt aped", + "Ġgroup ing", + "Ġbe ads", + "Ġ20 48", + "Ġcon du", + "quer que", + "Read ing", + "Ġgriev ances", + "Ult ra", + "Ġend point", + "H ig", + "ĠSt atic", + "ĠScar borough", + "L ua", + "ĠMess i", + "a qu", + "ĠPsy Net", + "ĠR udd", + "Ġa venue", + "v p", + "J er", + "Ġsh ady", + "ĠRes ist", + "ĠArt emis", + "Ġcare less", + "Ġbro kers", + "Ġtemper ament", + "Ġ5 20", + "T ags", + "ĠTurn ing", + "Ġut tered", + "Ġp edd", + "Ġimpro vised", + "Ġ: (", + "Ġtab l", + "Ġpl ains", + "16 00", + "press ure", + "ĠEss ence", + "marg in", + "friend s", + "ĠRest oration", + "Ġpoll ut", + "ĠPok er", + "ĠAugust ine", + "ĠC IS", + "ĠSE AL", + "or ama", + "Ġth wart", + "se ek", + "Ġp agan", + " º", + "cp u", + "Ġg arn", + "Ġass ortment", + "ĠI LCS", + "t ower", + "Recomm ended", + "Ġun born", + "ĠRandom Redditor", + "ĠRandomRedditor WithNo", + "Ġparaly zed", + "Ġeru ption", + "Ġinter sect", + "ĠSt oke", + "ĠS co", + "B ind", + "å ¾", + "ĠP NG", + "ĠNeg ative", + "ĠNO AA", + "Le on", + "Ġall oy", + "ĠL ama", + "ĠD iversity", + "5 75", + "Ġunderest imated", + "ĠSc or", + "Ġm ural", + "Ġb usted", + "so on", + "l if", + "Ġnone x", + "Ġall ergy", + "ĠUnder world", + "ĠR ays", + "ĠBl asio", + "Ġh rs", + "ĠD ir", + "Ġ3 27", + "by ter", + "Ġrepl acements", + "Ġactiv ates", + "ri ved", + "M H", + "Ġp ans", + "ĠH I", + "Ġlong itudinal", + "Ġnu isance", + "al er", + "Ġsw ell", + "ĠS igned", + "s ci", + "ĠIs les", + "ĠA GA", + "Ġdef iant", + "Ġson ic", + "oc on", + "K C", + "ĠA im", + "t ie", + "ah ah", + "Ġm L", + "D X", + "Ġb isc", + "ĠBill board", + "ĠSY STEM", + "NE Y", + "ga ard", + "Ġdist ressed", + "former ly", + "Al an", + "Ġche fs", + "Ġopt ics", + "ĠC omet", + "ĠAM C", + "Ġredes igned", + "irm ation", + "Ġsight ings", + "38 2", + "3 11", + "ĠW B", + "Ġcont raction", + "ĠT OTAL", + "D ual", + "Ġstart led", + "Ġunderstand ably", + "Ġsung lasses", + "ETH OD", + "Ġd ocker", + "Ġsurf ing", + "ĠH EL", + "ĠSl ack", + "ton es", + "Ġsh alt", + "Vis ual", + "49 8", + "Dep artment", + "c ussion", + "Ġunrest ricted", + "Ġt ad", + "Ġre name", + "employ ed", + "Ġeduc ating", + "Ġgrin ned", + "bed room", + "ĠActiv ities", + "ĠV elvet", + "ĠSW AT", + "Ġsh uffle", + "ig or", + "Ġsatur ation", + "F inding", + "c ream", + "ic ter", + "Ġv odka", + "tr acking", + "te c", + "Ġfore ground", + "iest a", + "Ġve hement", + "ĠEC B", + "ĠT ie", + "E y", + "Ġt urtles", + "ĠRail road", + "ĠKat z", + "ĠFram es", + "Ġmen ace", + "ĠFell owship", + "ĠEss ential", + "ugg ish", + "Ġdri p", + "ch witz", + "ĠKy oto", + "s b", + "ĠN ina", + "Param eter", + "Ġal arms", + "ĠCl aud", + "Ġpione ering", + "Ġchief ly", + "ĠSc ream", + "Col lection", + "Ġthank fully", + "ĠRonald o", + "åŃ IJ", + "st rip", + "ĠDisney land", + "com mercial", + "See ing", + "S oul", + "Ġevac uate", + "Ġc iv", + "ĠAs he", + "Ġdiv ides", + "ĠD agger", + "rehens ive", + "Ġber ries", + "ĠD F", + "Ġs ushi", + "Ġplur ality", + "W I", + "Ġdisadvant aged", + "Ġbatt alion", + "ob iles", + "45 1", + "Ġcl ing", + "Ġunden iable", + "ĠL ounge", + "Ġha unt", + "p he", + "Ġquant ify", + "Ġdiff ered", + "Ġ[* ]", + "ĠV iz", + "c um", + "sl ave", + "Ġvide og", + "Ġqu ar", + "Ġbund les", + "ĠAl onso", + "t ackle", + "Ġneur onal", + "Ġlandsl ide", + "conf irmed", + "ĠDep th", + "Ġrenew ables", + "B ear", + "ĠMaced onia", + "Ġjer seys", + "Ġb unk", + "ĠSp awn", + "ĠControl s", + "ĠBuch anan", + "Ġrobot ics", + "Ġemphas izing", + "ĠTut orial", + "h yp", + "ist on", + "Ġmonument al", + "æ °", + "ĠCar ry", + "Ġt bsp", + "en ance", + "H ill", + "art hed", + "Ġro tten", + "De an", + "Ġtw isting", + "Ġgood will", + "Ġimm ersion", + "L iving", + "Ġbr ushes", + "ĠC GI", + "ĠAt k", + "tr aditional", + "Ġph antom", + "ĠSt amina", + "Ġexpans ions", + "ĠMar in", + "Ġembark ed", + "ĠE g", + "int estinal", + "ĠPE OPLE", + "ĠBo oth", + "ĠApp alach", + "Ġreleg ated", + "V T", + "M IT", + "Ġmust er", + "Ġwithdraw ing", + "Ġmicrosc ope", + "ĠG athering", + "ĠC rescent", + "ĠArgent ine", + "ĠDec re", + "ĠDomin ic", + "Ġbud s", + "ant age", + "ĠI on", + "Ġwid ened", + "ONS ORED", + "ĠGl oves", + "iann opoulos", + "raz en", + "fe el", + "Ġrepay ment", + "Ġhind sight", + "ĠRE ALLY", + "ĠPist ol", + "ĠBra h", + "Ġwat ts", + "Ġsurv ives", + "Ġfl urry", + "iss y", + "Al ert", + "ĠUrug uay", + "Ph oenix", + "S low", + "ĠG rave", + "ĠF ir", + "Ġmanage able", + "Ġtar iff", + "ĠU DP", + "ĠPist ons", + "ĠNiger ian", + "Ġstrike outs", + "Ġcos metics", + "whel ming", + "f ab", + "c ape", + "pro xy", + "Ġre think", + "Ġover coming", + "sim ple", + "Ġw oo", + "Ġdistract ing", + "ĠSt anton", + "ĠTuls a", + "ĠD ock", + "65 9", + "Ġdisc ord", + "ĠEm acs", + "ĠV es", + "ĠR OB", + "Ġreass uring", + "Ġcons ortium", + "Muslim s", + "3 21", + "Ġprompt s", + "se i", + "ĠH itch", + "imp osed", + "ĠF ool", + "Ġindisc rim", + "wr ong", + "bu querque", + "D avis", + "! ]", + "Ġtim eless", + "ĠNE ED", + "Ġpestic ide", + "Ġrally ing", + "ĠCal der", + "Ġå ¤", + "Ġx p", + "ĠUn le", + "ĠEx port", + "lu aj", + "B uff", + ") [", + "Ġsq or", + "S audi", + "Ġis tg", + "Ġindul ge", + "pro c", + "Ġdisg usted", + "Ġcomp ounded", + "Ġn em", + "Ġschool ing", + "ĠC ure", + "process ing", + "S ol", + "Ġpro verb", + "it ized", + "ĠAlv arez", + "Ġscar f", + "Ġrect angular", + "re ve", + "Ġh ormonal", + "ĠSt ress", + "itiz en", + "Ġ4 25", + "girl s", + "ĠNo ir", + "ĠR app", + "Ġmar ches", + "ch urch", + "ĠUs es", + "Ġ40 5", + "ĠBer m", + "Ġord inances", + "ĠJud gment", + "Charg es", + "ĠZ in", + "Ġdust y", + "Ġstraw berries", + "Ġper ce", + "ĠTh ur", + "ĠDebor ah", + "net flix", + "ĠLam bert", + "Ġam used", + "ĠGu ang", + "Y OU", + "R GB", + "ĠC CTV", + "Ġf iat", + "r ang", + "Ġf ederation", + "ĠM ant", + "ĠB ust", + "ĠM are", + "respect ive", + "ĠM igration", + "ĠB IT", + "59 0", + "Ġpatriot ism", + "Ġout lining", + "reg ion", + "ĠJos é", + "Ġbl asting", + "ĠEz ra", + "B s", + "Ġundermin es", + "ĠSm ooth", + "Ġcl ashed", + "rad io", + "Ġtransition ing", + "ĠBucc aneers", + "ĠOw l", + "Ġplug s", + "Ġh iatus", + "ĠPin ball", + "Ġm ig", + "ĠNut r", + "ĠWolf e", + "Ġinteg ers", + "Ġor bits", + "ĠEd win", + "ĠDirect X", + "b ite", + "Ġbl azing", + "v r", + "Ed ge", + "ĠP ID", + "ex it", + "ĠCom ed", + "ĠPath finder", + "ĠGu id", + "ĠSign s", + "ĠZ er", + "ĠAg enda", + "Ġreimburse ment", + "M esh", + "i Phone", + "ĠMar cos", + "ĠS ites", + "h ate", + "en burg", + "Ġs ockets", + "p end", + "Bat man", + "v ir", + "ĠSH OW", + "Ġprovision al", + "con n", + "ĠDeath s", + "AT IVE", + "Pro file", + "sy m", + "J A", + "Ġnin ja", + "inst alled", + "id ates", + "eb ra", + "ĠOm aha", + "Ġse izing", + "ĠBe asts", + "Ġsal ts", + "M ission", + "Gener ally", + "ĠTr ilogy", + "he on", + "leg ates", + "Ġd ime", + "Ġf aire", + "par able", + "G raph", + "Ġtotal ing", + "Ġdiagram s", + "ĠYan uk", + "ple t", + "ĠMe h", + "Ġmyth ical", + "ĠStep hens", + "aut ical", + "ochem istry", + "Ġkil ograms", + "Ġel bows", + "anc ock", + "ĠB CE", + "ĠPr ague", + "Ġimpro v", + "ĠDev in", + "Ġ\" \\", + "par alle", + "Ġsuprem acists", + "ĠB illion", + "Ġreg imen", + "inn acle", + "Ġrequ isite", + "ang an", + "ĠBur lington", + "ain ment", + "ĠObject ive", + "oms ky", + "G V", + "Ġun ilateral", + "Ġt c", + "Ġh ires", + "ment al", + "Ġinvol untary", + "Ġtrans pl", + "ĠASC II", + " ¨", + "Ev ents", + "Ġdoub ted", + "ĠKa plan", + "ĠCour age", + "ig on", + "ĠMan aging", + "ĠT art", + "Ġfalse hood", + "ĠV iolet", + "Ġair s", + "Ġfertil izer", + "Brit ain", + "Ġaqu atic", + "ou f", + "W ords", + "ĠHart ford", + "Ġeven ings", + "ĠV engeance", + "qu ite", + "G all", + "ĠP ret", + "Ġp df", + "ĠL M", + "ĠSo chi", + "ĠInter cept", + "9 20", + "Ġprofit ability", + "ĠId le", + "ĠMac Donald", + "ĠEst ablishment", + "um sy", + "Ġgather ings", + "ĠN aj", + "Charl ie", + "Ġas cent", + "ĠProt ector", + "Ġal gebra", + "Ġbi os", + "for ums", + "EL S", + "Introdu ced", + "Ġ3 35", + "Ġastron omy", + "Cont ribut", + "ĠPol ic", + "Pl atform", + "Ġcontain ment", + "w rap", + "Ġcoron ary", + "ĠJ elly", + "man ager", + "Ġheart breaking", + "c air", + "ĠChe ro", + "c gi", + "Med ical", + "ĠAccount ability", + "! !\"", + "oph ile", + "Ġpsych otic", + "ĠRest rict", + "Ġequ itable", + "iss ues", + "Ġ19 05", + "ĠN ek", + "c ised", + "ĠTr acking", + "Ġo zone", + "Ġcook er", + "ros is", + "Ġre open", + "Ġinf inity", + "ĠPharm aceutical", + "ens ional", + "Att empt", + "ĠR ory", + "Mar co", + "Ġawa its", + "H OW", + "t reated", + "Ġbol st", + "Ġreve red", + "Ġp ods", + "opp ers", + "00 10", + "Ġampl itude", + "ric an", + "SP ONSORED", + "Ġtrou sers", + "Ġhal ves", + "ĠK aine", + "ĠCut ler", + "ĠA UTH", + "Ġsplend id", + "Ġprevent ive", + "ĠDud ley", + "if acts", + "umin ati", + "ĠY in", + "Ġad mon", + "ĠV ag", + "Ġin verted", + "Ġhast ily", + "ĠH ague", + "L yn", + "Ġled ger", + "Ġastron omical", + "get ting", + "Ġcirc a", + "ĠC ic", + "ĠTenn is", + "Lim ited", + "Ġd ru", + "ĠBY U", + "Ġtrave llers", + "Ġp ane", + "ĠInt ro", + "Ġpatient ly", + "Ġa iding", + "Ġlo os", + "ĠT ough", + "Ġ29 3", + "Ġconsum es", + "Source File", + "Ġ\"\" \"", + "Ġbond ing", + "Ġtil ted", + "Ġmenstru al", + "ĠCel estial", + "UL AR", + "Plug in", + "Ġrisk ing", + "N az", + "ĠRiy adh", + "Ġacc redited", + "Ġsk irm", + "é Ľ", + "Ġexam iner", + "Ġmess ing", + "Ġnear ing", + "ĠC hern", + "ĠBeck ham", + "Ġsw apped", + "Ġgo ose", + "K ay", + "Ġlo fty", + "ĠWal let", + "Ġ[ '", + "Ġap ocalypse", + "Ġb amboo", + "ĠSP ACE", + "ĠEl ena", + "Ġ30 6", + "ac ons", + "Ġtight ened", + "Ġadolesc ence", + "Ġrain y", + "Ġvandal ism", + "ĠNew town", + "Ġcon ject", + "c akes", + "Ġche ated", + "Ġmoder ators", + "par ams", + "E FF", + "Ġdece it", + "ĠST L", + "ĠTanz ania", + "ĠR I", + "Ġ19 23", + "ĠEx ile", + "the l", + "Ġthe olog", + "Ġquir ky", + "ĠIr vine", + "Ġneed y", + "or is", + "U m", + "K a", + "Ġmail box", + "3 22", + "Ġb os", + "ĠPet ra", + "K ING", + "Ġenlarg ed", + "O ften", + "Ġbad ass", + "Ġ3 43", + "ĠPl aces", + "ĠC AD", + "Ġpr istine", + "Ġinterven ing", + "d irection", + "Ġl az", + "ĠD SM", + "Ġproject ing", + "ĠF unk", + "ag og", + "pay ment", + "n ov", + "Ġch atter", + "AR B", + "Ġexam inations", + "ĠHouse hold", + "ĠG us", + "F ord", + "4 14", + "B oss", + "Ġmy stic", + "Ġle aps", + "ĠB av", + "ul z", + "b udget", + "Foot ball", + "Ġsubsid ized", + "Ġfirst hand", + "Ġcoinc ide", + "oc ular", + "Con n", + "ĠColl abor", + "Ġfool s", + "am ura", + "ah ar", + "r ists", + "Ġsw ollen", + "Ġexp ended", + "ĠP au", + "s up", + "Ġsp ar", + "Ġkey note", + "s uff", + "Ġunequ al", + "Ġprogress ing", + "str ings", + "ĠGamer gate", + "Dis ney", + "ĠEle ven", + "om nia", + "Ġscript ed", + "Ġear ners", + "bro ther", + "ĠEn abled", + "æ ³", + "Ġlar vae", + "ĠL OC", + "m ess", + "Wil son", + "ĠTem plate", + "success fully", + "Ġparam ount", + "Ġcamoufl age", + "Ġbind s", + "ĠQu iet", + "ĠSh utterstock", + "r ush", + "Ġmasc ot", + "fort une", + "ĠCol t", + "ĠBe yon", + "hab i", + "Ġha irc", + "Ġ26 7", + "ĠDe us", + "Ġtw itch", + "Ġconcent rating", + "Ġn ipples", + "c ible", + "Ġg ir", + "N Z", + "M ath", + "n ih", + "Requ ired", + "Ġp onder", + "ĠS AN", + "Ġwedd ings", + "Ġl oneliness", + "N ES", + "ĠMah jong", + "69 5", + "add le", + "ĠGar ner", + "ĠC OUR", + "Br idge", + "Ġsp ree", + "ĠCald well", + "Ġbri bery", + "Ġ���� ����", + "plug ins", + "Ġr acket", + "Ġchamp agne", + "vers ible", + "V ote", + "Ġmod ifiers", + "May or", + "6 80", + "Ġassemb lies", + "ĠS ultan", + "ĠN ing", + "ĠLad ies", + "Ġsulf ur", + "Ġor bs", + "Ġ---- -", + "____ ___", + "ĠJournal ism", + "Ġes ports", + "Ġl ush", + "Ġh ue", + "Ġspect ral", + "H onest", + "ãĥ ı", + "Ġbus hes", + "Ġrein forcement", + "Ġre opened", + "ĠWhe els", + "ĠM org", + "rie ving", + "Ġaux iliary", + "Ġj Query", + "ĠB AT", + "tes que", + "Ġver tex", + "p ure", + "f rey", + "ãĤ º", + "d os", + "Ġty ph", + "Ġc ull", + "Ġe q", + "Ġdec on", + "Ġtoss ing", + "Ġdispar ate", + "ĠBr igham", + "print f", + "led ged", + "Ġsu nd", + "Ġco zy", + "Ġhepat itis", + "per forming", + "Ġav al", + "ĠG G", + "f uture", + "Ġpet ertodd", + "ĠKos ovo", + "Ġmagn ets", + "Al ready", + "ĠEd ison", + "ĠCe res", + "ĠRA ID", + "Ġbrill iance", + "57 6", + "Ġder ives", + "Ġhypert ension", + "ĠÎ Ķ", + "Ġlamb da", + "Ġfl air", + "Ġmission aries", + "Ġrap es", + "ĠSt arter", + "ĠMon ths", + "Ġdef y", + "Ġseism ic", + "ĠR aphael", + "Ġeuro zone", + "65 6", + "z sche", + "Ġscr atched", + "Ġb ows", + "ĠLenn on", + "ĠGa ia", + "Ġdri pping", + "f acts", + "A le", + "Ġfrog s", + "ĠBre ast", + "ogene ity", + "ĠProsecut or", + "Ġampl ified", + "ĠHod g", + "ĠF n", + "Th ousands", + "ĠNI H", + "ĠMonitor ing", + "FT WARE", + "ĠPri ebus", + "ĠG rowing", + "hun ter", + "Ġdiagn ose", + "ĠM ald", + "ĠL R", + "Ġcrown ed", + "Ġburst ing", + "Ġdiss olution", + "j avascript", + "Ġuseful ness", + "ĠExec ution", + ": (", + "ĠIv ory", + "a ah", + "Ġpersecut ed", + "viol ence", + "ist as", + "ĠCr ate", + "Ġimpuls es", + "ĠSp ani", + "ed es", + "Hand le", + "ĠZ erg", + "think able", + "Last ly", + "Ġspont aneously", + "Ġinconven ient", + "Ġdismiss ing", + "Ġpl otted", + "Ġeight y", + "Ġ7 37", + "r ish", + "ĠThor nton", + "ath am", + "Ġsit com", + "V en", + "Rec ipe", + "t el", + "l und", + "Ġcle ars", + "ĠSas uke", + "Ġ25 8", + "Ġopt ing", + "Ġen raged", + "est hetic", + "ĠA e", + "uch s", + "Pre p", + "Fl ow", + "Ġrun off", + "ĠE ating", + "ĠG iles", + "ĠAct ing", + "res ources", + "ib aba", + "Ġr pm", + "Ġske wed", + "ĠBl anc", + "ĠS akuya", + "Ġhot ter", + "Ġ19 24", + "op ian", + "ck o", + "Ġcr umbling", + "Ġcapt ains", + "ĠAppropri ations", + "le aders", + "dro pping", + "an uts", + "Ġrevers ing", + "ĠP ose", + "ĠS ek", + "Sc ot", + "ĠIde a", + "c ise", + "ĠSloven ia", + "Ġ3 17", + "Do ctor", + "Ġcro cod", + "ald i", + "Se a", + "ĠFar rell", + "Ġmerc enaries", + "ĠR NC", + "ĠGu ess", + "Ġp acing", + "M achine", + "Streamer Bot", + "ĠChar ity", + "Ġ29 8", + "Ġcann ons", + "ĠTob y", + "TPP StreamerBot", + "ĠPass ion", + "cf g", + "Th om", + "Ġbad ges", + "ĠBern stein", + ". âĢĵ", + "ĠP OP", + "ĠCon j", + "Ġinitial ization", + "Ġbiod iversity", + "D ub", + "Ġfeud al", + "Ġdisclaim er", + "Ġc row", + "Ġign ition", + "ar f", + "S HA", + "Ġk Hz", + "h azard", + "ĠArt ists", + "oe uv", + "67 9", + "ĠRud y", + "N ine", + "ĠRam adan", + "å ½", + "itt o", + "Ġadren aline", + "C ert", + "Ġsmell ed", + "Ġimp unity", + "Ġag endas", + "ĠRe born", + "ĠCon cent", + "ĠSe ems", + "Ġo mega", + "ĠDust in", + "Ġback er", + "ĠSau ce", + "ĠBoy le", + "W IN", + "Ġsp ins", + "Ġpa uses", + "u pt", + "Ġshred ded", + "Ġstra pped", + "ĠCor ruption", + "Ġscr atches", + "Ġn i", + "Ġatt ire", + "ĠS AF", + "Factory Reloaded", + "ĠI PS", + "Ġ( %", + "Ġsem inar", + "f ocus", + "c ivil", + "Ġ18 60", + "int osh", + "Ġcontin ual", + "Ġabbre vi", + "ĠS ok", + "oc obo", + "X M", + "Ġfr antic", + "Ġunavoid able", + "Ġar tery", + "Ġannot ations", + "b ath", + "Cl imate", + "Ġd ors", + "ĠSl ide", + "co ord", + "ĠRel oad", + "ĠL DL", + "ĠLove craft", + "Ġunim agin", + "Ġresemb led", + "Ġbarr acks", + "n p", + "Ġsurrog ate", + "Ġcategor ized", + "ãĤ ©", + "Ġvacc inated", + "Ġdrain age", + "Ġind ist", + "ĠWhats App", + "Ġ18 70", + "oler ance", + "inv oke", + "am orph", + "Ġrecon nect", + "Ġem anc", + "Ġblind ness", + "Ġ12 80", + "intern et", + "c ollar", + "Ġalt ru", + "Ġab yss", + "ĠT RI", + "65 7", + "Ġinf used", + "HE AD", + "Ġforest ry", + "ĠWood y", + "ĠC i", + "w i", + "s am", + "78 4", + "hol iday", + "Ġmog ul", + "ĠF ees", + "ĠD EN", + "In ternal", + "ur bed", + "f usc", + "at om", + "ĠIll usion", + "Ġpoll ed", + "Ġfl ap", + "Ġco ax", + "L GBT", + "An aly", + "ĠSect ions", + "ĠCalif orn", + "em n", + "Ġh ither", + "ĠN IGHT", + "Ġn ailed", + "ĠPip eline", + "39 1", + "o of", + "ĠPr imal", + "vere nd", + "Ġsl ashing", + "Ġret ri", + "avi our", + "Ġdepart ing", + "g il", + "IS C", + "Ġmid way", + "Ġultras ound", + "Ġbeh aving", + "ĠT ara", + "class es", + "V irtual", + "ĠColon ial", + "Ġstri pping", + "Ġorchestr ated", + "ĠGra ves", + "45 2", + "ĠIron ically", + "ĠWrit ers", + "Ġl ends", + "ĠMan z", + "Ġra ven", + "Ġoxid ative", + "Ġ26 6", + "EL F", + "act ually", + "asc ar", + "D raft", + "Ġfavour able", + "Ġhumili ating", + "Ġf idelity", + "ĠH of", + "ĠX uan", + "49 6", + "Ġlay ered", + "at is", + "79 0", + "Ġpay check", + "it on", + "K ar", + "ĠVM ware", + "ĠFar mer", + "Ġserv ic", + "gl omer", + "Ġsl ump", + "ĠFab ric", + "ĠD OC", + "est ing", + "Ġreass ure", + "Ġph yl", + "v olt", + "it ory", + "R ules", + "Ġoxid ation", + "Ġpri zed", + "Ġmist ress", + "ĠDj ango", + "WAR N", + "å ij", + "Ġenc ode", + "ĠFeed back", + "Ġstupid ity", + "I an", + "ĠYugoslav ia", + "× ¨", + "ac l", + "UT E", + "19 77", + "Ġqual ifies", + "Ġpuls es", + "pret ty", + "Ġfro ze", + "Ġs s", + "Iter ator", + "Ġur gently", + "Ġm ailed", + "ĠCh am", + "Ġsust aining", + "Ġbas il", + "Ġpupp ies", + "il ant", + "ĠP LEASE", + "l ap", + "ace ous", + "F ear", + "ĠMaster y", + "aut omatic", + "ĠT AG", + "Ġant im", + "ag les", + "47 3", + "fram es", + "Ġwh ispers", + "ĠWho ever", + "Ġbra very", + "ĠUK IP", + "ract ions", + "\"\" \"", + "Ġt ame", + "Ġpart ed", + "every thing", + "CON T", + "Ġind ebted", + "Ġadd r", + "re k", + "IR ED", + "Ġem inent", + "cl inton", + "Ġo usted", + "Ġreview er", + "Ġmelt down", + "Ġre arr", + "ĠY ao", + "the real", + "aby te", + "Ġst umbling", + "Ġbat ches", + "Ġ25 9", + "Ġcontrace ptive", + "Ġprost itute", + "ens is", + "De cl", + "ĠSt rikes", + "M ilitary", + "ĠO ath", + "v acc", + "pp ings", + "05 2", + "Ġpart Name", + "amp ing", + "Rep orts", + "K I", + "CH R", + "Ġsubt ly", + "sw ers", + "Bl ake", + "us ual", + "Ġcontest ants", + "Ġcart ridges", + "ĠGRE AT", + "Ġbl ush", + "ĠâĢ º", + "47 2", + "Ġreason ed", + "ãĥ ¤", + "paralle led", + "Ġd yn", + "ag ate", + "Ġnight ly", + "å Ĩ", + "55 6", + "Ġsem antic", + "ĠAdv oc", + "Ġ !!", + "Ġdisag rees", + "ĠB W", + "V eh", + "Ġharm ing", + "Ġembr aces", + "Ġstri ves", + "Ġin land", + "ĠK ard", + "Ġhe ats", + "ĠGin ny", + "ut an", + "ern aut", + "yl ene", + "ĠE lev", + "J D", + "Ġh ars", + "ĠStar r", + "Ġsk ysc", + "Ġcollabor ators", + "Us ually", + "Ġrev olutions", + "ĠSTAT S", + "Ġdism antle", + "Ġconfident ly", + "Ġkin etic", + "Al i", + "Ġpercent ile", + "Ġextract ing", + "ill ian", + "est ead", + "Ġphysic ists", + "ĠMarsh al", + "Ġfell owship", + "Ġd ashed", + "ĠU R", + "ĠSi oux", + "ĠComp act", + "am ide", + "P ython", + "ĠLe igh", + "ĠPharm ac", + "ist rates", + "her ical", + "Ġf ue", + "ĠE min", + "Ġ( {", + "ĠNeighbor hood", + "Ġdisrupt ing", + "ĠD up", + "Ġg land", + "ĠSe v", + "ĠMar ian", + "arg on", + "ĠD und", + "Ġ< !--", + "Ġstr and", + "Ġstadium s", + "z os", + "Ġpsych osis", + "ĠR ack", + "Ġbrilliant ly", + "ï¸ ı", + "Ġsubmer ged", + "ĠInst it", + "ĠCh ow", + "Ġc ages", + "ĠH ats", + "ĠU rs", + "Ġdil uted", + "us at", + "ien ne", + "ĠMembers hip", + "ĠBur k", + "Ġ ie", + "Ġarche type", + "D rug", + "ult on", + "ĠSp ock", + "ĠMcK ay", + "ĠDep end", + "F eatured", + "S oc", + "19 78", + "ĠB ere", + "Ġrelent lessly", + "Ġcripp ling", + "Ġar thritis", + "çĶ Ł", + "ĠTrop ical", + "ĠBul g", + "ĠCher yl", + "Ġadm irable", + "Ġsub title", + "Over ride", + "Ġorig inating", + "ĠC CP", + "Ġsw ore", + "ĠSo le", + "ĠDis orders", + "3 29", + "Ġprocess ion", + "Ġref urb", + "Ġimm ersed", + "requ ently", + "Ġskept ics", + "Ġcer amic", + "m itter", + "en stein", + "b elt", + "ĠT IT", + "b idden", + "Ġf ir", + "m ist", + "> ]", + "Ġwe ave", + "ĠParad ox", + "Ġentr usted", + "ĠBarcl ays", + "Ġnovel ist", + "og ie", + "80 6", + "Ġnin ety", + "Ġdisag reements", + "@@@@ @@@@", + "ĠAus chwitz", + "c ars", + "ĠL ET", + "t ub", + "arant ine", + "P OS", + "Ġback story", + "Ġcheer ful", + "ĠR ag", + "ek a", + "bi ased", + "Ġinexper ienced", + "ak ra", + "ĠW itt", + "t an", + "Ġrap ist", + "Ġplate au", + "ch al", + "ĠInqu is", + "exp ression", + "Ġc ipher", + "Ġsh aving", + "add en", + "re ly", + "( \\", + "ism a", + "ĠReg ulatory", + "CH AR", + "ily n", + "N VIDIA", + "G U", + "Ġmur m", + "la us", + "Christ opher", + "Ġcontract ual", + "ĠPro xy", + "ĠJa ime", + "ĠMethod ist", + "Ġstew ards", + "st a", + "per ia", + "Ġphys iology", + "Ġbump ed", + "Ġf ructose", + "Austral ian", + "ĠMet allic", + "ĠMas querade", + "ar b", + "Ġprom ul", + "Ġdown fall", + "Ġbut cher", + "Ġb our", + "ĠIN FORMATION", + "ĠB is", + "pect s", + "ad ena", + "Ġcontempl ating", + "ar oo", + "cent ered", + "ĠPe aks", + "Us ed", + "Ġmod em", + "Ġg enders", + "Ġ8 000", + "37 1", + "Ġm aternity", + "ĠR az", + "Ġrock ing", + "Ġhandgun s", + "ĠD ACA", + "Aut om", + "ĠN ile", + "Ġtum ult", + "ĠBenef it", + "ĠAppro ach", + "works hop", + "ĠLe aving", + "G er", + "inst ead", + "Ġvibr ations", + "Ġrep ositories", + "49 7", + "ĠA unt", + "ĠJ ub", + "ĠExp edition", + "Al pha", + "Ġs ans", + "Ġoverd ue", + "Ġoverc rowd", + "Ġlegisl atures", + "Ġp aternal", + "ĠLeon ardo", + "Ġexp ressive", + "Ġdistract ions", + "Ġsil enced", + "tr ust", + "Ġb iking", + "Ġ5 60", + "Ġpropri et", + "Ġimp osition", + "Ġcon glomer", + "Ġ= ================================================================", + "ĠTe aching", + "ĠY ose", + "int ensive", + "T own", + "Ġtroll ing", + "ĠGr ac", + "ĠAS US", + "Y o", + "Ġspecial s", + "ĠNep h", + "ĠGod zilla", + "Dat abase", + "ĠHe gel", + "Ġ27 2", + "19 76", + "ĠGl oria", + "Ġdis emb", + "ĠInvestig ations", + "ĠB ane", + "ag ements", + "St range", + "Ġtre asury", + "ĠPl ays", + "Ġundes irable", + "Ġwid ening", + "Ġverb ally", + "Ġinf ancy", + "Ġcut ter", + "f ml", + "Ġ21 00", + "prot otype", + "f ine", + "Ġdec riminal", + "Ġdysfunction al", + "Ġbes ie", + "ĠErn st", + "z eb", + "Ġnort heastern", + "Ġa ust", + "por ate", + "ĠMar lins", + "Ġsegreg ated", + "ew orld", + "ĠMa her", + "Ġtra verse", + "Ġmon astery", + "ur gy", + "G ear", + "s and", + "Com pl", + "ĠE MP", + "Ġpl ent", + "ĠMer cer", + "Ġ27 6", + "TA BLE", + "Config uration", + "H undreds", + "Ġpr ic", + "Ġcollabor ating", + "ĠPar amount", + "ĠCumm ings", + "Ġ( <", + "Ġrecord er", + "Ġfl ats", + "Ġ4 16", + "wh ose", + "Font Size", + "ĠOr bit", + "Y R", + "Ġwr ists", + "Ġb akery", + ") }", + "ĠB ounty", + "ĠLanc aster", + "Ġend ings", + "acc ording", + "ĠSal am", + "e asy", + "75 5", + "ĠBur r", + "ĠBarn ett", + "onom ous", + "Un ion", + "Ġpreced ence", + "ĠScholars hip", + "ĠU X", + "Ġroll out", + "Ġbo on", + "al m", + "ĠCan ter", + "æ µ", + "Ġround ing", + "Ġcl ad", + "Ġv ap", + "ĠF eatured", + "is ations", + "Ġ5 40", + "pol ice", + "Ġunsett ling", + "Ġdr ifting", + "ĠLum ia", + "ĠObama Care", + "ĠF avor", + "Hy per", + "ĠRoth schild", + "ĠMil iband", + "an aly", + "ĠJul iet", + "H u", + "Ġrec alling", + "a head", + "69 6", + "Ġunf avorable", + "Ġd ances", + "O x", + "Ġleg ality", + "Ġ40 3", + "rom ancer", + "Ġinqu ire", + "ĠM oves", + "\\ \">", + "ĠVari ant", + "ĠMess iah", + "ĠL CS", + "ĠBah á", + "75 6", + "Ġeyeb row", + "Ġ ¥", + "ĠMc F", + "ĠFort y", + "M as", + "Ġpan icked", + "Ġtransform ations", + "q q", + "Ġrev olves", + "ring e", + "ĠA i", + "ax e", + "Ġon ward", + "ĠC FR", + "ĠB are", + "log in", + "Ġliqu ids", + "Ġde comp", + "second ary", + "il an", + "ĠCon vert", + "ami ya", + "Ġprosecut ing", + "Ġâī ¡", + "ĠYork ers", + "ĠByr ne", + "sl ow", + "aw ei", + "J ean", + "Ġ26 9", + "ĠSky dragon", + "Ġ é", + "ĠNicarag ua", + "ĠHuck abee", + "ĠHigh ly", + "Ġamph ib", + "ĠPast or", + "ĠL ets", + "Ġbl urred", + "Ġvisc eral", + "ĠC BO", + "Ġcollabor ated", + "z ig", + "Leg al", + "Ġapart heid", + "Ġbr id", + "Ġpres et", + "ĠD ET", + "ĠAM A", + "× Ķ", + "arch ing", + "auc uses", + "build er", + "Ġpo etic", + "Ġem ulator", + "ĠMole cular", + "Ġhon oring", + "ise um", + "Ġtract or", + "ĠCl uster", + "ĠCal m", + "ared evil", + "Ġsidew alks", + "Ġviol in", + "Ġgeneral ized", + "ĠAle c", + "Ġemb argo", + "Ġfast ball", + "ĠHT TPS", + "ĠL ack", + "ĠCh ill", + "ri ver", + "C hel", + "ĠSw arm", + "ĠLev ine", + "ro ying", + "L aunch", + "Ġkick er", + "Ġadd itive", + "ĠDe als", + "W idget", + "cont aining", + "Ġescal ate", + "ĠOP EN", + "Ġtwe aked", + "Ġst ash", + "Ġsp arks", + "ĠEs sex", + "ĠE cc", + "Ġconv ict", + "Ġblog ging", + "I ER", + "ĠH L", + "Ġmurd erers", + "75 9", + "ĠH ib", + "Ġde pl", + "ĠJ ord", + "S ac", + "Ġdis sect", + "ĠHow e", + "os her", + "Ġcustom izable", + "ĠFran z", + "Ġat ro", + "Ä ĩ", + "Ġ000 4", + "Ġout post", + "R oss", + "Ġglyph osate", + "ĠHast ings", + "ĠBE FORE", + "Ġsh ove", + "o pped", + "ĠSc ala", + "Ġam ulet", + "an ian", + "Ġexacerb ated", + "Ġe ater", + "47 1", + "UM E", + "Ġpul p", + "izont al", + "ĠZ am", + "ĠAT I", + "imm une", + "aby tes", + "Ġunnecess arily", + "ĠC AT", + "ĠAx is", + "Ġvisual ize", + "à ī", + "ĠRad ical", + "f m", + "Doc uments", + "ĠFor rest", + "Ġcontext ual", + "ĠSy mbol", + "Ġtent ative", + "ĠDO ES", + "ĠGood s", + "Ġintermitt ent", + "} :", + "medi ated", + "Ġridic ule", + "Ġathe ism", + "Ġpath ogens", + "ĠM um", + "Ġre introdu", + "Ġ30 7", + "i HUD", + "Ġflash light", + "Ġsw earing", + "Ġp engu", + "B u", + "Ġrot ated", + "ĠCr ane", + "Ġ() );", + "Ġfashion able", + "Ġendors ing", + "46 3", + ") [", + "Ġingest ion", + "Ġcook s", + "Ġ9 50", + "ot omy", + "ĠIm am", + "Ġk a", + "Ġte aser", + "ĠGhost s", + "ĠãĤ µ", + "19 69", + "Ï ĥ", + "ub by", + "Ġconver ter", + "zan ne", + "end e", + "ĠPre par", + "ĠNic kel", + "ĠChim era", + "h im", + "ĠTyr ann", + "ĠSabb ath", + "ĠNich ols", + "Ġra pt", + "ih ar", + "Ġshe lling", + "Ġillum inate", + "Ġdent ist", + "ut or", + "ĠInteg ration", + "Ġwh ims", + "ĠLiter ary", + "Be aut", + "Ġp archment", + "ag ara", + "Br and", + "Ġder og", + "âĢ¦ )", + "ĠNor se", + "Ġunw itting", + "Ġc uc", + "Ġborder line", + "Ġupset ting", + "Ġrec ourse", + "Ġd raped", + "ĠRad ar", + "Ġcold er", + "ĠPep si", + "im inary", + "], [", + "65 8", + "V i", + "ĠF rem", + "ĠP es", + "Ġveter inary", + "ĠT ED", + "ĠEp idem", + "n ova", + "k id", + "Ġdev out", + "o ct", + "j ad", + "M oh", + "ĠP AY", + "Ġge ometric", + "Ġ3 23", + "Ġcircum ference", + "ich ick", + "19 75", + "ĠY uri", + "ĠSh all", + "ĠH over", + "un in", + "S pr", + "Ġg raft", + "ĠHapp iness", + "Ġdisadvant ages", + "att acks", + "Ġhub s", + "ĠStar Craft", + "é ĸ", + "Ġgall eries", + "ĠKor ra", + "Ġgrocer ies", + "ĠGors uch", + "Ġrap ists", + "Ġfun gi", + "ĠTyph oon", + "V ector", + "ĠEm press", + "b attle", + "4 68", + "Ġparas ite", + "ĠBom ber", + "S G", + "ex ist", + "ĠP f", + "Ġun se", + "Ġsurge ons", + "B irth", + "ĠUn sure", + "ĠPrint ed", + "ĠBehavior al", + "ĠA ster", + "Pak istan", + "Ġun ethical", + "Ġs v", + "ĠIo T", + "Ġlay outs", + "P ain", + "Ġconst ants", + "ĠL W", + "ĠB ake", + "Ġtow els", + "Ġdeterior ation", + "ĠBol ivia", + "Ġblind ed", + "ĠW arden", + "ĠMist ress", + "Ġon stage", + "Ġcl ans", + "ĠB EST", + "19 60", + "Ġant ique", + "Ġrhet orical", + "ĠPer cy", + "ĠRw anda", + ", .", + "B ruce", + "Ġtra umat", + "ĠParliament ary", + "Ġfoot note", + "id ia", + "ĠLear ned", + "se eking", + "gen ic", + "Ġdim ensional", + "H ide", + "èĢ ħ", + "Ġintrig ue", + "in se", + "Ġle ases", + "Ġapp rentices", + "w ashing", + "Ġ19 26", + "V ILLE", + "Ġsw oop", + "s cl", + "Ġbed rooms", + "on ics", + "ĠCr unch", + "comp atible", + "Ġincap ac", + "ĠYemen i", + "ash tra", + "z hou", + "d anger", + "Ġmanifest ations", + "ĠDem ons", + "AA F", + "Secret ary", + "ACT ED", + "L OD", + "Ġam y", + "ra per", + "eth nic", + "4 17", + "Ġpos itives", + "Ġ27 3", + "ĠRefuge es", + "Ġus b", + "ĠV ald", + "odd y", + "ĠMahm oud", + "As ia", + "Ġskull s", + "ĠEx odus", + "ĠComp et", + "ĠL IC", + "ĠM ansion", + "ĠA me", + "Ġconsolid ate", + "storm s", + "ont ent", + "99 6", + "Ġcl en", + "Ġm ummy", + "fl at", + "75 8", + "ĠV OL", + "oter ic", + "n en", + "ĠMin ute", + "S ov", + "Ġfin er", + "R h", + "ly cer", + "Ġreinforce ments", + "ĠJohann es", + "ĠGall agher", + "Ġgym n", + "S uddenly", + "Ġext ortion", + "k r", + "i ator", + "T a", + "Ġhippocamp us", + "N PR", + "ĠComput ing", + "Ġsquare ly", + "Ġmod elling", + "ĠFor ums", + "ĠL isp", + "ĠKrish na", + "Ġ3 24", + "Ġr ushes", + "Ġens ued", + "Ġcre eping", + "on te", + "n ai", + "il ater", + "ĠHorn ets", + "Ġob livious", + "IN ST", + "55 9", + "Ġjeopard y", + "Ġdistingu ishing", + "j ured", + "Ġbeg s", + "sim ilar", + "ph ot", + "5 30", + "ĠPark way", + "Ġs inks", + "ĠHearth stone", + "ib ur", + "ĠBat on", + "Av oid", + "Ġd ancer", + "Ġmag istrate", + "ary n", + "Ġdisturb ances", + "ĠRom ero", + "Ġpar aph", + "Ġmis chief", + "âĸ ĵ", + "ĠSh aria", + "Ġur inary", + "r oute", + "iv as", + "f itted", + "Ġeject ed", + "ĠAl buquerque", + "Ġ4 70", + "Ġirrit ated", + "ĠZ ip", + "ĠB iol", + "à į", + "Ġden ounce", + "Ġbin aries", + "ĠVer se", + "Ġopp os", + "ĠKend rick", + "ĠG PL", + "Ġsp ew", + "ĠEl ijah", + "ĠE as", + "Ġdr ifted", + "so far", + "Ġannoy ance", + "ĠB ET", + "47 4", + "ĠSt rongh", + "it ates", + "ĠCogn itive", + "oph one", + "ĠIdent ification", + "ocr ine", + "connect ion", + "Ġbox er", + "ĠAS D", + "ĠAre as", + "Y ang", + "t ch", + "ull ah", + "Ġdece ive", + "Comb at", + "ep isode", + "cre te", + "W itness", + "Ġcondol ences", + "ht ar", + "Ġhe als", + "Ġbuck ets", + "ĠLA W", + "B lu", + "Ġsl ab", + "ĠOR DER", + "oc l", + "att on", + "ĠSteven son", + "ĠG inger", + "ĠFriend ly", + "ĠVander bilt", + "sp irit", + "ig l", + "ĠReg arding", + "ĠPR OG", + "Ġse aling", + "start ing", + "Ġcard inal", + "ĠV ec", + "ĠBe ir", + "Ġmillisec onds", + "we ak", + "per se", + "Ġster ile", + "ĠCont emporary", + "ĠPh ant", + "ĠCl o", + "Ġout p", + "Ġex iled", + "Ġ27 7", + "Ġself ie", + "Ġman ic", + "Ġn ano", + "ter ms", + "Alex ander", + "Ġres olves", + "Ġmillenn ia", + "Ġexpl odes", + "Ġconst ellation", + "Ġadul tery", + "m otion", + "D OC", + "Ġbroad casters", + "Ġkinderg arten", + "ĠMay weather", + "ĠE co", + "ich o", + "Ġ28 7", + "l aun", + "Ġm ute", + "Ġdisc reet", + "Ġpres chool", + "Ġpre empt", + "De lete", + "ĠFre ed", + "P i", + "H K", + "Ġblock er", + "ĠC umber", + "Ġw rought", + "d ating", + "Ġins urer", + "Ġquot as", + "Ġpre ached", + "Ġev iction", + "ĠReg ina", + "ĠP ens", + "Ġsevent een", + "ĠN ass", + "D ick", + "Ġfold s", + "Ġd otted", + "ĠA ad", + "Un iversal", + "Ġp izz", + "ĠG uru", + "Ġso ils", + "Ġno vice", + "ĠNe ander", + "Ġst ool", + "Ġdeton ated", + "ĠPik achu", + "ĠMass ive", + "IV ER", + "ĠAb del", + "Ġsubdu ed", + "Ġtall est", + "Ġprec arious", + "Ġa y", + "r ification", + "ĠOb j", + "c ale", + "Ġun question", + "cul osis", + "ad as", + "igr ated", + "D ays", + "Ġque ens", + "ĠGaz ette", + "ĠCol our", + "ĠBow man", + "ĠJ J", + "ï ve", + "Ġdomin ates", + "Stud ent", + "Ġm u", + "Ġback log", + "ĠElect ro", + "Tr uth", + "48 3", + "Ġcond ensed", + "r ules", + "ĠCons piracy", + "Ġacron ym", + "hand led", + "ĠMat te", + "j ri", + "ĠImp ossible", + "l ude", + "cre ation", + "Ġwar med", + "ĠSl ave", + "Ġmis led", + "Ġfer ment", + "ĠK ah", + "ink i", + "ke leton", + "cy l", + "ĠKar in", + "Hun ter", + "Reg ister", + "ĠSur rey", + "Ġst ares", + "ĠW idth", + "ĠN ay", + "ĠSk i", + "Ġblack list", + "uck et", + "Ġexp ulsion", + "im et", + "Ġret weet", + "vant age", + "Fe ature", + "Ġtro opers", + "Ġhom ers", + "9 69", + "Ġconting ency", + "ĠW TC", + "ĠBrew er", + "fore ign", + "W are", + "S olar", + "Ġund ue", + "RE C", + "ulner able", + "path ic", + "ĠBo ise", + "Ġ3 22", + "Ġarous ed", + "ĠY ing", + "ä¸ į", + "uel ess", + "Ġp as", + "Ġmor p", + "Ġfl oral", + "Ex press", + "ud ging", + "k B", + "ĠGr anted", + "Ø ¯", + "ĠMich a", + "ĠGoth ic", + "ĠSPEC IAL", + "ĠRic ardo", + "F ran", + "Ġadminister ing", + "6 20", + "por a", + "Ġ ®", + "Ġcomprom ises", + "Ġb itten", + "Ac cept", + "Th irty", + "Ð ²", + "Ġmater ially", + "ĠTer r", + "ig matic", + "ch ains", + "Ġdo ve", + "stad t", + "Mar vel", + "FA ULT", + "Ġwind shield", + "Ġ3 36", + "ad ier", + "Ġsw apping", + "Ġflaw less", + "ĠPred ator", + "ĠMiche le", + "Ġprop ulsion", + "ĠPsych ic", + "Ġassign ing", + "Ġfabric ation", + "Ġbar ley", + "l ust", + "Ġtow ering", + "Ġalter cation", + "ĠBent ley", + "Sp here", + "Ġtun a", + "ĠClass es", + "Fre edom", + "un er", + "L ady", + "v oice", + "Ġcool est", + "or r", + "Ġpal p", + "$ {", + "Ġhyster ia", + "ĠMet atron", + "p ants", + "Ġspawn ing", + "Exper ts", + "ĠInvest ors", + "ĠAn archy", + "Ġshr unk", + "ĠVict im", + "Ġ28 9", + "Ġec stasy", + "ĠB inding", + "58 5", + "ĠMel ody", + "57 8", + "ot ally", + "ĠE tsy", + "lig a", + "Ġapplaud ed", + "Ġswe ating", + "Ġredist ributed", + "Ġpop corn", + "Ġsem inal", + "f ur", + "ĠNeuro science", + "R and", + "ĠO st", + "ĠMadd en", + "ĠIncre asing", + "ĠDaw kins", + "ĠSub way", + "Ġar sen", + "cons erv", + "B UR", + "Ġsp iked", + "ĠLy ft", + "ĠImper ium", + "ĠDrop box", + "Ġfav oured", + "Ġencomp asses", + "gh ost", + "Ġins pires", + "Ġbur geoning", + "ĠY oshi", + "ĠVert ical", + "ĠAud itor", + "Ġint ending", + "Ġfilib uster", + "Bl oom", + "f ac", + "ĠCav s", + "ign ing", + "Ġcowork ers", + "ĠBarb arian", + "rem ember", + "FL AG", + "Ġaudit ory", + "ason ry", + "Col lege", + "Ġmut ed", + "gem ony", + "ob in", + "ĠPsych o", + "9 68", + "Ġlav ish", + "Ġhierarch ical", + "ĠDr one", + "ou k", + "Ġcripp led", + "ĠMax im", + "Sl ot", + "Ġqu iz", + "ĠV id", + "if ling", + "Ġarchae ologists", + "Ġabandon ment", + "d ial", + "le on", + "ĠF as", + "T ed", + "Ġr aspberry", + "Ġmaneu vers", + "Ġbehavi ours", + "Ġins ure", + "Ġrem od", + "Sw itch", + "h oe", + "Ġsp aced", + "Ġafford ability", + "ĠF ern", + "not ation", + "ĠBal anced", + "Ġoccup ies", + "en vironment", + "Ġneck lace", + "Ġsed an", + "F U", + "ĠBrav o", + "Ġab users", + "ĠAn ita", + "met adata", + "ĠG ithub", + "ait o", + "ĠF aster", + "ĠWass erman", + "ĠF lesh", + "Ġth orn", + "r arily", + "ĠMer ry", + "w ine", + "Ġpopul ace", + "ĠL ann", + "Ġrepair ing", + "Ġpsy che", + "Ġmod ulation", + "aw aru", + "âĢĭ âĢĭ", + "ari j", + "Ġdecor ations", + "Ġapolog ise", + "ĠG arg", + "app ly", + "Ġgive away", + "ĠFl an", + "ĠWy att", + "U ber", + "Ġauthor ised", + "ĠMor al", + "HAHA HAHA", + "activ ate", + "Ġtorped o", + "ĠF AR", + "Ġam assed", + "ĠA ram", + "ark in", + "ĠVict ims", + "st ab", + "Ġo m", + "ĠE CO", + "Ġopio ids", + "Ġpurpose ly", + "ĠV est", + "Ġer g", + "at an", + "ĠSur gery", + "Ġcorrect ing", + "ĠOrt iz", + "ĠBe et", + "Ġrev oke", + "Ġfre eway", + "ĠH iggins", + "F ail", + "ĠFar ms", + "ĠAT P", + "h ound", + "Ġp oking", + "ĠCommun ists", + "mon ster", + "iment ary", + "Ġunlock ing", + "Ġunf it", + "we ed", + "en ario", + "at ical", + "ĠEnlight enment", + "ĠN G", + "ĠComp ensation", + "de en", + "ĠWid ow", + "ĠCind y", + "ĠAfter wards", + "Ġ6 000", + "ikh ail", + "ag ically", + "Ġrat ified", + "Ġcasual ty", + "H OME", + "p sey", + "f ee", + "Ġspark ling", + "Ġd é", + "Ġconcert ed", + "C atal", + "Ġcomp lying", + "ĠA res", + "ĠD ent", + "Sh ut", + "Ġsk im", + "ad minist", + "Ġhost ilities", + "ĠG ins", + "Ġ6 08", + "Ġm uddy", + "ĠMc Int", + "ĠDec ay", + "5 25", + "Ġconspic uous", + "ĠEx posure", + "Ġresc ind", + "Ġwear able", + "Ġ3 28", + "our met", + "ah s", + "ĠRob ots", + "Ġe clips", + "inst ance", + "ĠRE PORT", + "ĠApp l", + "0 30", + "ĠSk ies", + "01 00", + "Ġfall acy", + "S ocket", + "ĠRece iver", + "Ġsol ves", + "ĠButter fly", + "ĠSho pping", + "ĠFI RE", + "65 4", + "Med ic", + "Ġsing ers", + "ĠNeed less", + "'' ''", + "isher s", + "ĠD ive", + "58 8", + "Ġselect ively", + "Ġcl umsy", + "88 9", + "Ġpurch aser", + "ear ned", + "ard y", + "Ġbenef iting", + "eng lish", + "Ġyield ing", + "ĠP our", + "Ġspin ach", + "Ġdel ve", + "ĠC rom", + "6 10", + "Ġexport ing", + "ĠMA KE", + "Ġ26 3", + "Ġg rop", + "Ġenv oy", + "ĠInqu iry", + "ĠLu igi", + "d ry", + "ĠT uring", + "Thumbnail Image", + "ĠVar iety", + "Ġfac et", + "Ġfl uffy", + "Ġexcerpt s", + "Ġsh orth", + "ĠOl sen", + "CL UD", + "Ġrel iant", + "ĠUN C", + "T our", + "Ġbat hing", + "Comp any", + "Ġglobal ization", + "P red", + "ĠMalf oy", + "Ġh oc", + "j am", + "craft ed", + "ĠBond s", + "ĠKiss inger", + "Eng land", + "Ġorder ly", + "cat entry", + "Ġ26 1", + "Ġexch anging", + "ĠInt ent", + "ĠAmend ments", + "D OM", + "Ġst out", + "³³³³³³³³ ³³³³³³³³", + "ĠAir bus", + "Ġ27 8", + "hy de", + "P oll", + "Item ThumbnailImage", + "Ġlooph oles", + "ĠPill ar", + "Ġexpl or", + "St retch", + "A part", + "Ġun married", + "Lim it", + "ĠTransform ers", + "Ġintellect ually", + "unct ure", + "18 00", + "Ġd arn", + "B razil", + "Ġleft over", + "ber us", + "f red", + "Mine craft", + "3 26", + "ĠForm s", + "Ġproof s", + "ĠDes igned", + "Ġindex es", + "ĠSupp ose", + "EM S", + "ĠL oving", + "ĠBon nie", + "im ating", + "OT US", + "Ġconduct or", + "Ġbehav ed", + "ĠF ren", + "Ġsy nerg", + "Ġmillenn ium", + "Ġcater ing", + "ĠL auder", + "W r", + "ĠY iannopoulos", + "ĠAT F", + "Ġensl aved", + "Ġawaken ed", + "D VD", + "ĠED ITION", + "ĠConc ert", + "ĠChall enger", + "ĠH aku", + "umer ic", + "Ġdep recated", + "ĠSH AR", + "4 12", + "Ġdy stop", + "Ġtremb ling", + "Ġdread ed", + "ĠSp ac", + "p adding", + "Re pl", + "ĠG arrison", + "M ini", + "Ġun paralleled", + "am ar", + "URR ENT", + "w reck", + "c ertain", + "t al", + "ĠC LS", + "app ings", + "Ġsens ed", + "Ġf encing", + "ĠPas o", + "ĠDes k", + "Ġsc off", + "Ġcontem plate", + "ĠL iga", + "l iquid", + "75 7", + "Ġapp rentice", + "ĠUCH IJ", + "5 70", + "ĠTh ousand", + "ĠIll um", + "Ġchampion ed", + "ãĤ Į", + "Ġelect ors", + "Ġ3 98", + "ĠH ancock", + "round ed", + "ĠJ OHN", + "Ġuns atisf", + "Ġqual ifier", + "ĠGad get", + "EN E", + "Ġdead liest", + "ĠPl ants", + "Ġ ions", + "Ġacc ents", + "Ġtwe aking", + "Ġsh aved", + "F REE", + "ĠCh aser", + "Again st", + "9 60", + "Ġmeth amphetamine", + "Ġnormal ized", + "Ġ$ \\", + "ĠPre cision", + "ĠGu am", + "Ġch oked", + "ĠX II", + "ĠCast ing", + "Tor rent", + "Ġscal p", + "ĠJagu ar", + "w it", + "Ġsem ic", + "ix ie", + "ĠG ould", + "Ġconf ines", + "N usra", + "ĠL on", + "ĠJ ugg", + "y cle", + "ĠCod ec", + "E gypt", + "Ġrest rain", + "ĠAl iens", + "Ġch oking", + "ĠD unk", + "ĠBell a", + "ab c", + "Ġsl ang", + "Ġneuro trans", + "s av", + "Ġempower ment", + "â ĨĴ", + "Ġclim bers", + "ĠM im", + "ĠF ra", + "ros se", + "Cap ital", + "ĠCth ulhu", + "Inter face", + "Ġprof icient", + "ĠIN TO", + "Ġ3 18", + "ront al", + "5 80", + "ĠDes pair", + "K enn", + "Ġscrim mage", + "ĠCo at", + "as ions", + "Ġwall paper", + "ĠJ ol", + "Ġresurg ence", + "Ġant iv", + "ĠB alls", + "² ¾", + "Ġbuff ers", + "Ġsub system", + "ĠSt ellar", + "ĠL ung", + "A IDS", + "Ġerad icate", + "Ġblat antly", + "Ġbehav es", + "ĠN un", + "Ġant ics", + "ex port", + "DE V", + "w b", + "Ġph p", + "ĠInteg rity", + "Ġexplore r", + "Ġrev olving", + "auth ored", + "g ans", + "Ġbas k", + "Ġas ynchronous", + "å į", + "TH ING", + "69 8", + "G ene", + "ĠR acer", + "ĠN ico", + "iss ued", + "Ġser mon", + "p ossibly", + "Ġsize of", + "Ġentrepreneur ial", + "ox in", + "ĠMin erva", + "Ġpl atoon", + "n os", + "ri ks", + "A UT", + "ĠAval anche", + "ĠDes c", + "ij 士", + "ĠP oc", + "Ġconf erred", + "Î »", + "Ġpat ched", + "F BI", + "66 2", + "Ġfract ures", + "Ġdetect s", + "Ġded icate", + "Ġconstitu ent", + "Ġcos mos", + "W T", + "Ġswe ats", + "Ġspr ung", + "b ara", + "s olid", + "Ġuns us", + "Ġbul ky", + "ĠPhilipp e", + "ĠFen rir", + "Ġtherap ists", + "ore al", + "^^ ^^", + "Ġtotal ed", + "Ġboo ze", + "ĠR PC", + "Prosecut ors", + "Ġdis eng", + "ĠSh ared", + "Ġmotor cycles", + "Ġinvent ions", + "Ġlett uce", + "ĠMer ge", + "ĠJ C", + "Ġspiritual ity", + "ĠWAR NING", + "Ġunl ucky", + "ĠT ess", + "Ġtong ues", + "ĠD UI", + "T umblr", + "Ġle ans", + "Ġinv aders", + "Ġcan opy", + "ĠHur ricanes", + "ĠB ret", + "ĠAP PLIC", + "id ine", + "ick le", + "Reg arding", + "Ġve ggies", + "Ġe jac", + "ju ven", + "F ish", + "D EM", + "ĠD ino", + "Th row", + "ĠCheck ing", + "be ard", + "( &", + "Ġj ails", + "Ġh r", + "trans fer", + "iv ating", + "Ġfle ets", + "ĠIm ag", + "ĠMc Donnell", + "Ġsnipp et", + "Is a", + "ĠCh att", + "ĠSt ain", + "ĠSet FontSize", + "ĠO y", + "ĠMathemat ics", + "49 4", + "Ġelectro ly", + "ĠG ott", + "ĠBr as", + "B OOK", + "ĠF inger", + "d ump", + "Ġmut ants", + "Ġrent als", + "Ġinter tw", + "Ġc reek", + "ail a", + "Bro ther", + "ĠDisc ord", + "pe e", + "raw ler", + "Ġcar p", + "Ġ27 9", + "ãĤ· ãĥ£", + "rel ations", + "Ġcontr asts", + "Col umn", + "Ġrec onnaissance", + "Ġun know", + "Ġl ooting", + "Ġregul ates", + "Ġopt imum", + "ĠChero kee", + "ĠA ry", + "Lat est", + "Ġroad side", + "Ġd anced", + "ĠUnic orn", + "A cknowled", + "Ġuncont roll", + "ĠM US", + "at io", + "ch ance", + "ha ven", + "VAL UE", + "Ġfavour ites", + "Ġceremon ial", + "b inary", + "pe ed", + "wood s", + "EM P", + "Ġv ascular", + "Ġcontempl ated", + "Ġbar ren", + "ĠL IST", + "Y ellow", + "ospons ors", + "Ġwhisk y", + "ĠM amm", + "ĠDeV os", + "min imum", + "H ung", + "44 2", + "P ic", + "ĠSnap dragon", + "77 6", + "Ġcar ving", + "Ġund ecided", + "Ġadvantage ous", + "Ġpal ms", + "ĠA Q", + "Ġst arch", + "L oop", + "Ġpadd le", + "Ġfl aming", + "ĠHor izons", + "An imation", + "bo ost", + "Ġprob abilities", + "ĠM ish", + "Ġex odus", + "ĠEditor ial", + "Ġfung us", + "Ġdissent ing", + "ĠDel icious", + "rog ram", + "ĠD yn", + "d isk", + "t om", + "Ġfab rics", + "ĠC ove", + "ĠB ans", + "Ġsoft en", + "ĠCON S", + "Ġin eligible", + "Ġestim ating", + "ĠLex ington", + "pract ice", + "of i", + "Ġshe dding", + "ĠN ope", + "Ġbreat hed", + "ĠCorinth ians", + "y ne", + "ek i", + "B ull", + "Ġatt aching", + "reens hots", + "Ġanaly se", + "ĠK appa", + "Ġuns ustainable", + "Ġinter pol", + "ank y", + "he mer", + "Ġprot agonists", + "Ġform atted", + "ĠBry ce", + "ĠAch illes", + "ĠAb edin", + "sh ock", + "Ġb um", + "b os", + "qu a", + "ĠW arn", + "q t", + "ĠDi abetes", + "8 64", + "ĠIn visible", + "Ġvan ish", + "Ġtrans mitting", + "Ġmur ky", + "ĠFe i", + "Ġawa ited", + "ĠJur assic", + "umm ies", + "Ġmen acing", + "g all", + "C ath", + "B uilt", + "ild o", + "ĠV otes", + "Ġon t", + "Ġmun itions", + "ĠFre em", + "ÃŃ n", + "Ġdec ency", + "lo pp", + "ie ved", + "ĠG ord", + "Ġun thinkable", + "ĠNews week", + "Ġ3 21", + "He at", + "Ġpresent er", + "ji ang", + "Ġpl ank", + "ĠAval on", + "Ġben z", + "ĠR out", + "Ġslam ming", + "ĠD ai", + "ou ter", + "ĠCook ie", + "ĠAlic ia", + "ge y", + "Ġvan ity", + "Ġow l", + "á µ", + "t ested", + "ĠAw akens", + "Ġcan v", + "Ġblind ly", + "ĠRid ley", + "ĠEm ails", + "Requ ires", + "ĠSer bian", + "ograp hed", + "if rame", + "eter ia", + "Ġaltern ating", + "qu iet", + "Ġsoc iology", + "ĠUn lock", + "ĠCommun ism", + "Ġo ps", + "Ġatt ribution", + "Ġab duction", + "ĠAb ram", + "Ġsidel ined", + "ĠB OOK", + "Ġref ining", + "ĠFe eling", + "ĠOs lo", + "ĠPru itt", + "r ack", + "ang ible", + "Ġcaut iously", + "ĠM ARK", + "eed s", + "M ouse", + "ĠStep h", + "ĠP air", + "S ab", + "99 7", + "ĠBa al", + "B ec", + "Ġcomm a", + "ĠP all", + "ĠG ael", + "Ġmisunder stand", + "ĠP esh", + "Order able", + "Ġdis mal", + "ĠSh iny", + "% \"", + "Ġreal istically", + "Ġpat io", + "ĠG w", + "ĠVirt ue", + "Ġexhaust ing", + "wh atever", + "oph ys", + "y ip", + "4 18", + "Ad just", + "ĠWa iting", + "ess on", + "ĠMaz da", + "ĠDo zens", + "Ġstream lined", + "Ġincompet ence", + "ĠM eth", + "Ġeth os", + "ON ES", + "Ġincent iv", + "Ġgr itty", + "ĠBut cher", + "Head er", + "Ġexp onential", + "à Ł", + "Ġcorrel ate", + "Ġcons ensual", + "s ounding", + "R ing", + "Orig in", + "Ġcon clusive", + "fe et", + "ac ly", + "ĠF ernandez", + "Buy able", + "Ġd ucks", + "aunt lets", + "Ġel ong", + "Ġ28 6", + "Ġsim ul", + "G as", + "ĠK irst", + "Ġprot r", + "ĠRob o", + "ĠAo E", + "op ol", + "Ġpsych ologically", + "sp in", + "ilater ally", + "ĠCon rad", + "W ave", + "44 1", + "ĠAd vertisement", + "ĠHarm on", + "ĠOri ental", + "is Special", + "Ġpresum ptive", + "Ġw il", + "ĠK ier", + "ne a", + "Ġp pm", + "Ġhar bour", + "ĠW ired", + "comp any", + "Ġcor oner", + "atur days", + "ĠP roud", + "ĠN EXT", + "ĠFl ake", + "val ued", + "ce iver", + "Ġfra ught", + "Ġc asing", + "Ġrun away", + "Ġg in", + "ĠLaure nt", + "ĠHar lem", + "ĠCur iosity", + "qu ished", + "Ġneuro science", + "ĠH ulu", + "Ġborrow er", + "Ġpetition er", + "ĠCo oldown", + "W ARD", + "Ġinv oking", + "conf idence", + "For ward", + "Ġst s", + "pop ulation", + "Delivery Date", + "Fil m", + "ĠC ov", + "quick Ship", + "quickShip Available", + "prim ary", + "isSpecial Orderable", + "inventory Quantity", + "channel Availability", + "BO X", + "ĠMulti player", + "ĠJen ner", + "77 8", + "ĠM d", + "Ġ~ /.", + "M N", + "Ġchild ish", + "Ġantioxid ant", + "ĠChrom ebook", + "Ġ27 4", + "Ġscreen play", + "Ġadvent urous", + "ĠRelations hip", + "respons ive", + "ming ton", + "Ġcorner stone", + "ĠF ey", + "F IR", + "Ġrook ies", + "ĠF eaturing", + "Ġorig inate", + "Ġelectro des", + "ant es", + "Ġscript ures", + "Ġgl ued", + "Ġdiscont ent", + "Ġaff licted", + "lay out", + "B rave", + "Ġm osa", + "ĠQuant ity", + "ĠH ik", + "w inner", + "H ours", + "Ġent ail", + "ĠCell s", + "olog ue", + "Ġv il", + "Ġpre acher", + "Ġdecor ative", + "d ifferent", + "Ġprejud ices", + "ĠSm oking", + "ĠNotting ham", + "so Type", + "Ġrhyth ms", + "ĠAl ph", + "bl ast", + "Ste el", + "ĠDaniel le", + "Ġstr ife", + "Ġrem atch", + "so DeliveryDate", + "ĠF ork", + "t rip", + "ol ulu", + "hes es", + "C G", + "ĠPOLIT ICO", + "ost a", + "ĠDr ift", + "é¾įå ¥", + "é¾įå¥ ij士", + "Ġvet ting", + "ĠJin ping", + "ĠRec ession", + "Min or", + "ĠF raud", + "enf ranch", + "Ġconven ed", + "ĠNA ACP", + "ĠMill ions", + "ĠFarm ing", + "ĠW oo", + "ĠFl are", + "rit o", + "imm igrant", + "Ġvac ancy", + "ĠHE AD", + "ĠV aj", + "eg al", + "ĠV igil", + "Stud y", + "Ġru ining", + "Ġr acks", + "Ġhe ater", + "ĠRand olph", + "ĠBr ush", + "ĠT ir", + "Ø ¨", + "Ġc ov", + "% ]", + "Ġrecount s", + "ĠO PT", + "ĠM elt", + "Ġtr uce", + "Ġcas inos", + "Ġcrus ade", + "Ġcarn age", + "Ġstri pe", + "ĠK yl", + "Text ures", + "Ġ6 98", + "Ġpro clamation", + "Ġgood ies", + "Ġ........ ..", + "pro claimed", + "P olit", + "Ġtop ical", + "Ġspecial ize", + "ĠA min", + "g m", + "Ġanch ored", + "Ġbear ings", + "s ample", + "ĠHigh land", + "ĠAut ism", + "Ġmerc enary", + "Ġinterview er", + "L ER", + "ĠSom ers", + "Ġembry o", + "ĠAss y", + "Ġ28 1", + "ĠEd iting", + "ĠCh osen", + "6 60", + "Ġp ci", + "ĠThunder bolt", + "BI LL", + "Ġchuck led", + "jri wal", + "h of", + "Ġearth ly", + "() {", + "ind ependence", + "Ġdisp ers", + "ĠV endor", + "ĠG areth", + "Ġp als", + "P enn", + "ĠSub mit", + "ic um", + "Th u", + "Ġcl andestine", + "Ġcann ibal", + "ĠCl erk", + "E Stream", + "gal itarian", + "âĻ ¥", + "g ew", + "Ġhor rend", + "ĠL ov", + "ĠRe action", + "ocr in", + "Class ic", + "Ġecho ing", + "Ġdiscl osing", + "ĠIns ight", + "og un", + "ĠInc arn", + "upload s", + "pp erc", + "guy en", + "Ġ19 01", + "ĠB ars", + "68 7", + "Ġb ribes", + "ĠFres no", + "ur at", + "ĠRe ese", + "Ġintr usive", + "Ġgri pping", + "ĠBlue print", + "ĠR asm", + "un ia", + "man aged", + "ĠHeb do", + "Ġ3 45", + "Ġdec oding", + "Ġpo ets", + "Ġj aws", + "ĠF IGHT", + "am eless", + "ĠMead ows", + "ĠHar baugh", + "Inter view", + "ĠH osp", + "ĠB RA", + "Ġdelet ion", + "m ob", + "W alker", + "ĠMoon light", + "ĠJ ed", + "ĠSoph ia", + "Ġus ur", + "Ġfortun ately", + "ĠPut ting", + "ĠF old", + "Ġsan itation", + "Ġpart isans", + "IS ON", + "B ow", + "ĠCON C", + "ĠRed uced", + "ĠS utton", + "Ġtouch screen", + "Ġembry os", + "âĢ¢âĢ¢ âĢ¢âĢ¢", + "ĠK rug", + "com bat", + "ĠPet roleum", + "Ġam d", + "ĠCos mos", + "Ġpresc ribing", + "Ġconform ity", + "ours es", + "Ġplent iful", + "Ġdis illusion", + "ĠEc ology", + "itt al", + "Ġf anc", + "Ġassass inated", + "regn ancy", + "Ġperenn ial", + "ĠBul lets", + "Ġst ale", + "Ġc ached", + "ĠJud ith", + "ĠDise ases", + "All en", + "Ġl as", + "Ġsh ards", + "ĠSu arez", + "ĠFriend ship", + "inter face", + "ĠSupp orters", + "add ons", + "46 2", + "ĠIm ran", + "ĠW im", + "Ġnew found", + "ĠM b", + "An imal", + "Ġd arling", + "and e", + "Ġrh y", + "ĠTw isted", + "pos al", + "yn ski", + "Var ious", + "× ľ", + "ĠK iw", + "uy omi", + "Ġwell being", + "ĠL au", + "an os", + "Ġunm ist", + "Ġmac OS", + "Ġrest room", + "ĠOl iv", + "ĠAir ways", + "Ġtimet able", + "9 80", + "Ġrad ios", + "v oy", + "ias co", + "Ġcloud y", + "ĠDraw ing", + "Any thing", + "Sy ria", + "ĠH ert", + "st aking", + "Ġun checked", + "Ġb razen", + "ĠN RS", + "69 7", + "onom ic", + "est ablish", + "Ġl eng", + "Ġdi agonal", + "ĠF ior", + "L air", + "ĠSt ard", + "Ġdef icient", + "jo ining", + "be am", + "Ġomn ip", + "Ġbl ender", + "Ġsun rise", + "Mo ore", + "ĠF ault", + "ĠCost ume", + "ĠM ub", + "Fl ags", + "an se", + "Ġpay out", + "ĠGovern ors", + "ĠD illon", + "ĠBan ana", + "N ar", + "Ġtra iled", + "Ġimperial ist", + "um ann", + "ats uki", + "4 35", + "ĠRoad s", + "Ġsl ur", + "ĠIde ally", + "Ġt renches", + "C trl", + "Ġmir rored", + "ĠZ el", + "ĠC rest", + "Comp at", + "ĠRoll s", + "sc rib", + "ĠTra ils", + "omet ers", + "w inter", + "Ġimm ortality", + "il ated", + "Ġcontrad icts", + "un iversal", + "ill ions", + "ĠM ama", + "opt im", + "AT URE", + "Ġge o", + "et ter", + "ĠCar lo", + "4 24", + "Ġcanon ical", + "ĠStrongh old", + "n ear", + "Ġperf ume", + "Ġorche stra", + "od iac", + "Ġup he", + "Ġreign ing", + "vers ive", + "Ġc aucuses", + "ĠD EM", + "Ġinsult ed", + "Ġ---- --", + "ĠCr ush", + "Ġroot ing", + "ĠWra ith", + "Ġwh ore", + "Ġto fu", + "C md", + "ĠB ree", + "Ġ$ _", + "Ġr ive", + "ĠAd vertising", + "Ġw att", + "ĠH O", + "Ġpersu asive", + "ĠParam eters", + "Ġobserv ational", + "ĠN CT", + "ĠMo j", + "ĠSal on", + "Ġtr unc", + "Ġexqu isite", + "ĠMar a", + "Ġpo op", + "ĠAN N", + "Ex c", + "ĠWonder ful", + "ĠT aco", + "Ġhome owner", + "ĠSmith sonian", + "orpor ated", + "mm mm", + "Ġlo af", + "ĠYam ato", + "ĠInd o", + "Ġcl inging", + "á s", + "Ġimm utable", + "h ub", + "Or ange", + "Ġfingert ips", + "ĠWood en", + "ĠK idd", + "ĠJ PM", + "ĠDam n", + "C ow", + "c odes", + "48 2", + "Ġiniti ating", + "ĠEl k", + "ĠCut ting", + "Ġabsent ee", + "ĠV ance", + "ĠLil ith", + "G UI", + "Ġobsc ured", + "Ġdwar ves", + "ĠCh op", + "ĠB oko", + "Val ues", + "Ġmult imedia", + "Ġbrew ed", + "Reg ular", + "CRIP TION", + "ĠMort al", + "Ġa pex", + "Ġtravel er", + "Ġbo ils", + "Ġspray ing", + "Rep resent", + "ĠStars hip", + "4 28", + "Ġdisappro val", + "Ġshadow y", + "Ġlament ed", + "ĠRe place", + "ĠFran ç", + "67 7", + "d or", + "Ġunst oppable", + "Ġcoh orts", + "gy n", + "ĠClass ics", + "ĠAm ph", + "Ġsl uggish", + "ĠAdd iction", + "ĠPad res", + "Ġins cription", + "Ġin human", + "min us", + "ĠJere miah", + "at ars", + "Ter ror", + "ĠT os", + "ĠSh arma", + "ast a", + "c atch", + "Ġpl umbing", + "ĠTim bers", + "Sh ar", + "H al", + "ĠO sc", + "Ġcou pling", + "hum ans", + "Ġsp onge", + "Ġid ols", + "ĠSp a", + "ĠAdv ocate", + "ĠBe ats", + "lu a", + "Ġtick ing", + "Ġload er", + "ĠG ron", + "8 10", + "Ġstim ulated", + "Ġside bar", + "ĠManufact urer", + "ore And", + "19 73", + "Ġpra ises", + "ĠFl ores", + "dis able", + "ĠElect rical", + "ra ise", + "E th", + "Ġmigr ated", + "Ġlect urer", + "K ids", + "ĠCa vern", + "Ġk ettle", + "Ġgly c", + "ĠMand ela", + "ĠF ully", + "å§ «", + "FIN EST", + "Ġsquee zing", + "ĠRy der", + "amp oo", + "oreAnd Online", + "Inst oreAndOnline", + "Buyable InstoreAndOnline", + "Ġcommem orate", + "ĠRamp age", + "Aust in", + "ĠSh roud", + "ĠRu ins", + "9 15", + "ĠK H", + "Ġwater front", + "ĠE SC", + "b aby", + "ĠC out", + "ĠEm blem", + "Ġequival ents", + "49 2", + "Un ique", + "ĠNiet zsche", + "brow ser", + "Ġim itation", + "ĠWere wolf", + "ĠKir in", + "ac as", + "' ,\"", + "Ġà ¾", + "Review ed", + "Ġc unt", + "Ġvo ic", + "ĠLen ovo", + "Ġbond ed", + "48 1", + "Ġinhib itors", + "Ġendeav ors", + "ĠHav ana", + "ĠSt out", + "ĠJ olly", + "A ctor", + "*/ (", + "Ġoccur rences", + "ĠT ens", + "Incre ased", + "ĠACT ION", + "Ġ ãĢĮ", + "ĠRank ings", + "ĠB reat", + "Ġ30 9", + "D ou", + "Ġimpact ing", + "ĠDuc hess", + "pre fix", + "Q B", + "Ġsummon ing", + "Ġbest owed", + "ĠKe pler", + "ĠPOW ER", + "c ube", + "ĠK its", + "ĠG rip", + "Ġop ium", + "Ġrep utable", + "t oc", + "ich ael", + "ĠR ipple", + "Ġcaf é", + "ĠZ oom", + "ĠBur ma", + "Ġwa ive", + "Ġst alls", + "Ġdem eanor", + "inc erity", + "Ġfluor ide", + "ĠSH OULD", + "Par is", + "Ġlong ing", + "Ġpl at", + "Ġgross ly", + "Ġbull s", + "Ġshowc asing", + "ex pected", + "ĠG addafi", + "engine ering", + "Re peat", + "ĠK ut", + "Ġconce ivable", + "Ġtrim med", + "osc ope", + "ĠCand idate", + "ĠT ears", + "rol og", + "Lew is", + "S UP", + "Ġroad map", + "Ġsal iva", + "Ġtrump et", + "Jim my", + "Ġmirac ulous", + "Ġcolon ization", + "Ġam put", + "ĠGN OME", + "ate ch", + "D ifferent", + "ĠE LE", + "ĠGovern ments", + "ĠA head", + "ãħĭ ãħĭ", + "word press", + "L IB", + "ĠIn clude", + "ĠDor othy", + "0 45", + "ĠColomb ian", + "Ġle ased", + "88 4", + "Ġde grading", + "ĠDa isy", + "i ations", + "Ġbapt ized", + "Ġsurn ame", + "co x", + "Ġblink ed", + "ãĥ ¢", + "Ġpoll en", + "Ġder mat", + "Ġre gex", + "ĠNich olson", + "ĠE ater", + "ç ľ", + "rad or", + "Ġnarrow er", + "Ġhur ricanes", + "Ġhalluc inations", + "r idden", + "ISS ION", + "ĠFire fly", + "Ġattain ment", + "Ġnom inate", + "Ġav ocado", + "ĠM eredith", + "Ġt s", + "Ġreve rence", + "Ġe uph", + "Ġcr ates", + "ĠT EXT", + "Ġ4 43", + "Ġ3 19", + "J SON", + "iqu ette", + "Ġshort stop", + "ic key", + "Ġpro pelled", + "Ġap i", + "ĠTh ieves", + "77 9", + "Ġovers aw", + "Ġcol i", + "ĠNic ola", + "Ġover cl", + "ik awa", + "ĠC yr", + "Ġ38 4", + "78 9", + "ĠAll ows", + "10 27", + "Det roit", + "TR Y", + "set up", + "ĠSocial ism", + "Sov iet", + "s usp", + "ĠAP R", + "ĠShut down", + "Ġal uminium", + "zb ek", + "ĠL over", + "GGGG GGGG", + "Ġdemocr acies", + "Ġ19 08", + "ĠMer rill", + "ĠFranco is", + "gd ala", + "Ġtraff ickers", + "ĠT il", + "ĠGo at", + "Ġsp ed", + "ĠRes erv", + "Ġpro d", + "55 2", + "Ġc ac", + "ĠUn iv", + "ĠSch we", + "Ġsw irling", + "ĠWild erness", + "ĠEgg s", + "Ġsadd ened", + "Ġarch aic", + "H yd", + "Ġexcess ively", + "B RE", + "Ġaer ospace", + "ĠVo ices", + "Cra ig", + "Ġign ited", + "In itially", + "ĠMc A", + "Ġhand set", + "Ġreform ing", + "Ġfrust rations", + "ĠDead pool", + "ĠBel ichick", + "ract or", + "ĠRagnar ok", + "ĠD rupal", + "ĠApp roximately", + "19 20", + "ĠHub ble", + "arm or", + "ĠSar as", + "ĠJon as", + "Ġnostalg ic", + "Ġfeas ibility", + "Sah aran", + "Ġorb iting", + "Ġ9 70", + "R u", + "Ġsh in", + "ĠInvestig ators", + "Ġinconsist encies", + "ĠP AN", + "B G", + "Ġgraz ing", + "Ġdetect ors", + "ĠStart up", + "ĠFun ny", + "ĠNa omi", + "Consider ing", + "Ġh og", + "ut f", + "ce mic", + "Ġfort ified", + "ĠFun ctions", + "Ġcod ec", + "nut rition", + "H at", + "\" !", + "micro soft", + "55 8", + "ĠTh in", + "ĠA CE", + "Al ias", + "ĠO PS", + "p apers", + "P K", + "ãĢ İ", + "Ġimpro bable", + "N orthern", + "equ al", + "Ġlook out", + "Ġty res", + "ĠMod ified", + "ĠK op", + "Abs olutely", + "Ġbuild up", + "sil ver", + "Ġaud i", + "Ġgro tesque", + "ĠSab er", + "ĠPres byter", + "ON Y", + "Ġglac iers", + "ĠSho als", + "ĠK ass", + "ĠH RC", + "ĠNic ol", + "ĠL unch", + "ĠF oss", + "âĸ Ĵ", + "AD RA", + "ĠOne Plus", + "o ing", + "ground s", + "Ġincident al", + "Ġdatas ets", + "68 9", + "ĠClarks on", + "Ġassemb ling", + "ĠCorrect ions", + "Ġdrink ers", + "Ġqual ifiers", + "Ġle ash", + "Ġunf ounded", + "ĠH undred", + "Ġkick off", + "T i", + "Ġrecon cil", + "ĠGr ants", + "ĠCompl iance", + "ĠDexter ity", + "Ġ19 06", + "w arn", + "D allas", + "Max imum", + "n ard", + "av ia", + "be aut", + "ens itivity", + "tr ace", + "Ġpione ers", + "ĠF ract", + "ãĢ ı", + "Ġpre cept", + "Ġgloss y", + "ĠI EEE", + "Ac ross", + "Ġ6 80", + "S leep", + "che on", + "Ġsatir ical", + "ĠMin otaur", + "ĠCla ude", + "Ġr é", + "ape go", + "Ġcar rot", + "ĠSem in", + "ino a", + "Ġz o", + "Ind ependent", + "Ġdiagn oses", + "ĠC ue", + "M AR", + "Ġrend ition", + "ĠK ik", + "Ġpath ology", + "Ġselect s", + "Link edIn", + "Ġass ay", + "ĠD res", + "Ġtext ual", + "post ed", + "IT AL", + "ĠM aul", + "N eal", + "Ġinter connected", + "Ġerr atic", + "ĠVir us", + "Ġ5 30", + "Ġenvironmental ists", + "ĠP helps", + "Ġeng agements", + "ĠIN ST", + "Ġeconom ical", + "nox ious", + "Ġg earing", + "izz y", + "Ġfavor ably", + "ĠMcG ill", + "T erm", + "Ġh anged", + "Ġball park", + "ĠRe yes", + "Ġbe ware", + "ĠP sal", + "ĠMass acre", + "q i", + "Ġin accessible", + "acly sm", + "Ġfr ay", + "ill ac", + "Ġbitter ly", + "ĠCert ification", + "Mich igan", + "Ġir respective", + "al ore", + "Em pty", + "Ġendorse ments", + "Ġund et", + "f g", + "equ ipped", + "Ġmerc iless", + "ĠC ust", + "Ġimm ature", + "Ġvou cher", + "ĠBlack well", + "Ñ ı", + "h awk", + "dis ciplinary", + "ile e", + "ĠMak oto", + "ĠD ude", + "ãĥĩ ãĤ£", + "Y ears", + "Ġin ver", + "Ġsh aman", + "ĠY ong", + "ip el", + "ell en", + "ĠCath y", + "br ids", + "Ġs arc", + "65 1", + "N ear", + "Ġground work", + "Ġam az", + "Ġ4 15", + "ĠHunting ton", + "hew s", + "ĠB ung", + "Ġarbit rarily", + "ĠW it", + "ĠAl berto", + "Ġdis qualified", + "best os", + "46 1", + "Ġp c", + "Ġ28 4", + "ro bat", + "Rob in", + "Ġh ugs", + "ĠTrans ition", + "ĠOcc asionally", + "Ġ3 26", + "ĠWh ilst", + "ĠLe y", + "Ġspaces hip", + "cs v", + "Ġun successfully", + "ĠA u", + "le ck", + "ĠWing ed", + "ĠGrizz lies", + ". �", + "Ġne arer", + "ĠSorce ress", + "ĠInd igo", + "El se", + "8 40", + "let es", + "Co ach", + "Ġup bringing", + "ĠK es", + "Ġseparat ist", + "Ġrac ists", + "Ġch ained", + "Ġabst inence", + "lear ning", + "Ġrein stated", + "Ġsymm etry", + "Ġremind ers", + "ĠChe vy", + "Ġm ont", + "Ġexempl ary", + "ĠT OR", + "Z X", + "Ġqual itative", + "ĠSt amp", + "ĠSav annah", + "ĠRoss i", + "Ġp aed", + "Ġdispens aries", + "ĠWall s", + "ĠCh ronic", + "Ġcompliment ary", + "ĠBeir ut", + "Ġ+ ---", + "igs list", + "Ġcrypt ographic", + "mas ters", + "ĠCap itals", + "Ġmax imal", + "Ġent ropy", + "Point s", + "Ġcombat ants", + "l ip", + "ĠGl ob", + "ĠB MC", + "ph ase", + "th ank", + "HT TP", + "Ġcomm uter", + "Ġ\\( \\", + ".. /", + "ĠReg ener", + "ĠDO I", + "ĠActiv ision", + "Ġsl it", + "os al", + "RE M", + "Ġch ants", + "Y u", + "Ke ys", + "Bre xit", + "ĠFor ced", + "Ari zona", + "Ġsquad ron", + "IS O", + "ĠMal one", + "Ġ3 38", + "Ġcontrast ing", + "Ġt idal", + "Ġlib el", + "Ġimpl anted", + "Ġupro ar", + "ĠC ater", + "Ġpropos itions", + "M anchester", + "ĠEuro s", + "it amin", + "G il", + "ĠEl ven", + "ĠSe ek", + "ĠB ai", + "Ġredevelop ment", + "ĠTown s", + "ĠL ub", + "! \",", + "al on", + "K rist", + "Ġmeas urable", + "Ġimagin able", + "Ġapost les", + "Y N", + "7 60", + "Ġster oid", + "Ġspecific ity", + "ĠL ocated", + "ĠBeck er", + "ĠE du", + "ĠDiet ary", + "uts ch", + "ĠMar ilyn", + "Ġbl ister", + "ĠM EP", + "ĠK oz", + "ĠC MS", + "y ahoo", + "ĠCar ney", + "Ġbo asting", + "ĠC aleb", + "By te", + "read s", + "ad en", + "Pro blem", + "ĠWood ward", + "S we", + "S up", + "ĠK GB", + "Set up", + "Ġtac it", + "Ġret ribution", + "Ġd ues", + "ĠM ü", + ". ?", + "ä¸ Ń", + "p ots", + "Ġcame o", + "ĠP AL", + "educ ation", + "A my", + "like ly", + "g ling", + "Ġconstitution ally", + "ĠHam m", + "ĠSpe ak", + "Ġwid gets", + "br ate", + "Ġcra ppy", + "ĠI ter", + "Ġanticip ating", + "ĠB out", + "P ixel", + "ĠY ep", + "ĠLaur ie", + "Ġh ut", + "Ġbullet in", + "ĠSal vation", + "Ġch ats", + "ear able", + "Honest ly", + "AL TH", + "onse qu", + "c ult", + "isco very", + "ovy ch", + "Ġse lves", + "ĠSat oshi", + "S ounds", + "Ġconver gence", + "ĠRosen berg", + "19 74", + "Ġnas al", + "Ġfull est", + "Ġfer ocious", + "x us", + "ist e", + "AM S", + "Ġlobb ied", + "Ġso othing", + "ĠGun n", + "t oday", + "0 24", + "Ġinspir ational", + "ĠN BN", + "p b", + "g ewater", + "or ah", + "all owed", + "ĠCol iseum", + "Ġspecial izing", + "Ġinsane ly", + "ĠT ape", + "del ay", + "Ġt arn", + "ĠP ound", + "Ġmel anch", + "Ġdeploy ments", + "il and", + "Ġless en", + "Ġfur ry", + "ĠUE FA", + "Ġblood shed", + "ĠMe ier", + "ither ing", + "Ġhe irs", + "ĠJ aw", + "ax ter", + "ĠPublic ations", + "Ġal ters", + "int ention", + "ĠWinc hester", + "d etermination", + "ĠLif etime", + "th in", + "Mon ster", + "7 80", + "Ġapprox imation", + "Ġsuper markets", + "ĠSecond s", + "or os", + "h uge", + "Ġb ribe", + "ĠLIM ITED", + "un ed", + "Ġmis interpret", + "ĠIn jury", + "Ġ3 67", + "Ġthreshold s", + "ĠCarn ival", + "Ġgastro intestinal", + "Ġguid eline", + "Ġde ceived", + "f eatures", + "Ġpurported ly", + "ĠRon nie", + "ĠNew t", + "Ġsp acious", + "as us", + "Ġsuperhero es", + "ĠCyn thia", + "le gged", + "k amp", + "ch io", + "Ġth umbnail", + "ĠShir ley", + "ill ation", + "Ġshe ds", + "ĠZ y", + "E PA", + "Ġdam s", + "Ġy awn", + "n ah", + "ĠPe ggy", + "ĠE rie", + "ĠJu ventus", + "ĠF ountain", + "r x", + "don ald", + "al bum", + "ĠComp rehensive", + "Ġc aching", + "ĠU z", + "ulner ability", + "ĠPrinc iple", + "ĠJ ian", + "ing ers", + "cast s", + "ĠOs iris", + "ch art", + "t ile", + "ĠTiff any", + "ĠPatt on", + "ĠWh ip", + "Ġovers ized", + "J e", + "ĠCind erella", + "ĠB orders", + "ĠDa esh", + "M ah", + "Ġdog ma", + "Ġcommun ists", + "v u", + "Coun cil", + "Ġfresh water", + "Ġw ounding", + "Ġdeb acle", + "Ġyoung ster", + "Ġthread ed", + "ĠB ots", + "ĠSav ings", + "ãģ Ĥ", + "ol ing", + "oh o", + "Ġillum ination", + "M RI", + "Ġlo osen", + "tr ump", + "ag ency", + "ur ion", + "Ġmoment arily", + "ĠCh un", + "ĠBud apest", + "ĠAl ley", + "D isk", + "Ġaston ished", + "ĠCon quer", + "ĠAccount ing", + "h aving", + "ĠWe in", + "ĠAl right", + "Ġrev olver", + "Ġdel usion", + "Ġrelic s", + "Ġad herent", + "qu ant", + "Ġhand made", + "or io", + "Ġcomb ating", + "c oded", + "Ġquad ru", + "re th", + "N ik", + "ĠTrib al", + "ĠMyster ious", + "Ġin hal", + "ĠWin ning", + "ĠClass ification", + "ch anged", + "Ġun ab", + "Ġsc orn", + "icip ated", + "w l", + "ond uctor", + "Ġrein forcing", + "ĠChild hood", + "an ova", + "Ġadventure r", + "Ġdoctor al", + "ĠStrateg ies", + "Ġengulf ed", + "ĠEnc ounter", + "Ġl ashes", + "Crit ical", + "ric ular", + "ĠU TF", + "oci ation", + "check ing", + "ĠConsult ing", + "Run time", + "per iod", + "ĠAs gard", + "Ġdist illed", + "ĠPas adena", + "ĠD ying", + "ĠCOUN TY", + "Ġgran ite", + "Ġsm ack", + "Ġparach ute", + "ĠS UR", + "Virgin ia", + "ĠF urious", + "78 7", + "ĠO kin", + "Ġcam el", + "ĠM bps", + "19 72", + "ĠCh ao", + "ĠC yan", + "j oice", + "ef er", + "ĠW rap", + "ĠDeb ate", + "S eg", + "Ġfore arm", + "ĠIgn ore", + "Ġtim estamp", + "Ġprob ing", + "ĠNo on", + "ĠGra il", + "f en", + "Ġdorm ant", + "ĠFirst ly", + "ĠE ighth", + "ĠH UN", + "ĠDes ire", + "or as", + "Girl s", + "ĠDes mond", + "z ar", + "am ines", + "O AD", + "exec ute", + "Ġbo obs", + "ĠAT L", + "_ (", + "Chel sea", + "Ġmasturb ation", + "ĠCo C", + "Ġdestroy er", + "ĠCh omsky", + "Ġsc atter", + "ĠAss ets", + "79 6", + "ĠC argo", + "Ġrecept ive", + "ĠSc ope", + "Ġmarket ers", + "Ġlaun chers", + "Ġax le", + "ĠSE A", + "se q", + "ĠM off", + "f inding", + "ĠGib bs", + "Georg ia", + "extreme ly", + "N J", + "Ġlab orers", + "st als", + "Ġmed iation", + "ĠH edge", + "at own", + "Ġi od", + "des pite", + "v ill", + "J ane", + "ex istence", + "Ġcoinc ided", + "ĠUt ilities", + "ĠChe ap", + "Ġlog istical", + "Ġcul mination", + "ĠNic otine", + "p ak", + "F older", + "Ġrod ents", + "st uff", + "Ġlaw fully", + "Ġreper to", + "io ch", + "j j", + "Dial ogue", + "HH HH", + "lic tion", + "Look s", + "Ġ29 7", + "Ġtur rets", + "ĠAb andon", + "Ġinc ess", + "ĠTraff ord", + "Ġcur led", + "Ġprefer ring", + "Ġprivat ization", + "Ġir resist", + "ĠP anda", + "ĠSh ake", + "ĠMc Gr", + "ãĥ Ħ", + "und ers", + "Ġdiscrim inated", + "Ġbart ender", + "I LE", + "Atl antic", + "Ġprop ensity", + "ĠW iz", + "ĠG im", + "con ference", + "Ġrein forces", + "G h", + "w agon", + "Ġe erie", + "F al", + "Ġhug ged", + "rac ist", + "R IC", + "F u", + "Ġf iller", + "ĠSt ub", + "Ġeng raved", + "ĠWrest le", + "Ġimagin ative", + "ĠPe er", + "ĠFact ors", + "an us", + "ĠDrac ula", + "mon itor", + "Ġrou ters", + "ib ia", + "ĠBoo lean", + "end ale", + "ĠSl aughter", + "ĠSh ack", + "R FC", + "ĠSpiel berg", + "S ax", + "ĠPH OTO", + "ĠCl over", + "ĠR ae", + "Dep ending", + "ĠMem or", + "ar am", + "Ġpier ced", + "Ġcur tains", + "v ale", + "ĠInqu isition", + "ĠP oke", + "Ġforecast ing", + "Ġcompl ains", + "S ense", + "ĠHer mes", + "isc overed", + "Ġb ible", + "ĠMor ph", + "Ġg erm", + "78 5", + "D ON", + "Ġcon gen", + "Ġcr ane", + "ĠD PR", + "Ġrespect fully", + "R oom", + "ĠN aw", + "ĠDal ai", + "re ason", + "ĠAng us", + "Educ ation", + "ĠTitan ic", + "Ë ľ", + "Ġo val", + "un ited", + "Ġthird s", + "Ġmoist ur", + "ĠC PC", + "M iami", + "Ġtent acles", + "ĠPol aris", + "ex c", + "ex clusive", + "ĠPra irie", + "Ġcol ossal", + "ĠBl end", + "sur prisingly", + "ÃŃ s", + "Ġindo ctr", + "Ġbas al", + "ĠMP EG", + "und o", + "Spl it", + "Develop ment", + "Ġlan tern", + "19 71", + "Ġprov ocation", + "Ġang uish", + "ĠB ind", + "ĠLe ia", + "duc ers", + "ipp y", + "conserv ancy", + "Ġinitial ize", + "ĠTw ice", + "ĠSu k", + "Ġpred ic", + "Ġdi ploma", + "Ġsoc iop", + "Ing redients", + "Ġhamm ered", + "ĠIr ma", + "Q aida", + "Ġglim ps", + "ĠB ian", + "Ġst acking", + "Ġf end", + "gov track", + "Ġun n", + "dem ocratic", + "ig ree", + "Ġ5 80", + "Ġ29 4", + "Ġstraw berry", + "ID ER", + "Ġcher ished", + "ĠH ots", + "Ġinfer red", + "Ġ8 08", + "ĠS ocrates", + "O regon", + "ĠR oses", + "ĠFO IA", + "Ġins ensitive", + "Ġ40 8", + "Recomm end", + "ĠSh ine", + "Ġpain staking", + "UG E", + "ĠHell er", + "ĠEnter prises", + "I OR", + "ad j", + "N RS", + "L G", + "Ġalien ated", + "Ġacknowled gement", + "ĠA UD", + "ĠRen eg", + "Ġvou chers", + "Ġ9 60", + "Ġm oot", + "ĠDim ensions", + "Ġc abbage", + "B right", + "g at", + "ĠK lu", + "Ġlat ent", + "Ġz e", + "ĠM eng", + "Ġdis perse", + "Ġpand emonium", + "H Q", + "Ġvirt uous", + "ĠLoc ations", + "ee per", + "prov ided", + "Ġse ams", + "ĠW T", + "iz o", + "PR OV", + "Ġtit anium", + "Ġrecol lection", + "Ġcr an", + "Ġ7 80", + "ĠN F", + "49 1", + "64 2", + "p acking", + "59 8", + "text ure", + "Sp ider", + "fre edom", + "cipl ed", + "ĠTAM ADRA", + "âĻ ¦", + "aut hent", + "ĠW ANT", + "r ified", + "Ġr ites", + "Ġuter us", + "k iss", + "Ġâī ¤", + "Ġsk illet", + "Ġdis enfranch", + "ĠGa al", + "Comp an", + "Ġage ing", + "gu ide", + "B alt", + "Ġiter ator", + "Ġdiscretion ary", + "t ips", + "Ġprim ates", + "ĠTechn ique", + "ĠPay ments", + "az el", + "ĠR OCK", + "stant ial", + "0 60", + "Ġd mg", + "ĠJack ets", + "ĠPlay off", + "Ġnurs ery", + "ĠSy mb", + "art on", + "Ġannex ation", + "Color ado", + "Ġco ils", + "ĠSh oes", + "âĦ¢ :", + "ĠRo z", + "COM PLE", + "ĠEve rest", + "ĠTri umph", + "J oy", + "G rid", + "à ¼", + "process or", + "ĠPros per", + "ĠSever us", + "ĠSelect ed", + "r g", + "ĠTay yip", + "St ra", + "Ġski ing", + "Ġ? )", + "Ġpe g", + "Tes la", + "Ġtime frame", + "Ġmaster mind", + "ĠN B", + "scient ific", + "ĠSh it", + "gener ic", + "IN TER", + "N UM", + "Ġst roll", + "ĠEn ix", + "ĠM MR", + "ĠE MS", + "m ovie", + "Ĥ ª", + "Ġminim izing", + "idd ling", + "Ġilleg itimate", + "Ġprot otyp", + "Ġpremature ly", + "Ġmanual s", + "obb ies", + "ĠCass idy", + "D EC", + "des ktop", + "Ġaer os", + "Ġscreen ings", + "Ġdeb ilitating", + "ĠGr ind", + "nature conservancy", + "Ġf ades", + "ter mination", + "assets adobe", + "F actor", + "Ġdefinitive ly", + "P oké", + "ap ult", + "ĠLaf ayette", + "C orn", + "ĠCor al", + "Ġstagn ant", + "T ue", + "Ġdissatisf action", + "G ender", + "Ġkid neys", + "ĠG ow", + "ĠDef eat", + "ĠAsh ton", + "Ġcart els", + "Ġfore closure", + "ĠExpl ore", + "stre ngth", + "ot in", + "Ġveterin arian", + "Ġf umble", + "Ġpar ap", + "ĠSt rait", + "r ils", + "Ġpr ick", + "ĠBerm uda", + "ĠAm munition", + "skin ned", + "Ġab ound", + "ĠB raz", + "Ġshar per", + "ĠAsc ension", + "Ġ9 78", + "Ġpreview s", + "Ġcommun ion", + "ĠX Y", + "Ġph ony", + "Ġnewcom er", + "Ġ3 32", + ".\" ,\"", + "Ġredist ribution", + "Prot ect", + "ĠSo f", + "K al", + "Ġlip stick", + "w orst", + "Ġtang led", + "Ġretrospect ive", + "int eger", + "Ġvolunte ering", + "Ġ19 07", + "Ġ --------------------", + "ic hen", + "Ġunve iling", + "Ġsen seless", + "Ġfisher ies", + "\\ -", + "Ġh inges", + "Ġcalcul us", + "My th", + "Ġund efeated", + "Ġoptim izations", + "Ġdep ress", + "Ġbill board", + "ĠY ad", + "ĠPy ramid", + "Is n", + "I de", + "Ġleg ion", + "ĠK ramer", + "ent anyl", + "Ġpenet rating", + "ĠHaw th", + "ĠPR ODUCT", + "ĠGer ard", + "ĠP act", + "ĠIn cluding", + "ĠEl ias", + "ĠEl aine", + "vis ual", + "Ġhum ming", + "Ġcond esc", + "ĠF asc", + "ä¸ Ĭ", + "Ġe galitarian", + "Ġdev s", + "ĠD ahl", + "O ps", + "D H", + "ĠB ounce", + "id ated", + "ald o", + "Ġrepublic an", + "Ġh amb", + "ĠS ett", + "ograph ies", + "CH APTER", + "Ġtrans sexual", + "Ġsky rocket", + "ans wer", + "Ġmark up", + "Ø ª", + "Ġhero ine", + "Comp are", + "ĠT av", + "Be ast", + "Ġsuccess ors", + "Ġna ïve", + "ĠBuck ley", + "st ress", + "me at", + "Ġdownload able", + "Ġindex ed", + "Ġsc aff", + "ĠL ump", + "ĠHom o", + "Stud io", + "In sp", + "Ġr acked", + "far ious", + "ĠPet ty", + "Ex ternal", + "Ġ19 09", + "W ars", + "com mit", + "put ers", + "Ġun ob", + "ĠEr r", + "ĠE G", + "ĠAl am", + "ĠSiber ia", + "ĠAtmosp heric", + "IS TER", + "ĠSatan ic", + "trans lation", + "ĠL oud", + "tra umatic", + "l ique", + "Ġreson ate", + "ĠWel ch", + "Ġspark ing", + "ĠT OM", + "t one", + "Ġout l", + "Ġhandc uffed", + "ĠSer ie", + "8 01", + "Ġland marks", + "ĠRee ves", + "Ġsoft ened", + "Ġdazz ling", + "ĠW anted", + "month s", + "Mag ikarp", + "Ġunt reated", + "ĠBed ford", + "M i", + "ĠDynam o", + "O re", + "79 5", + "Ġwrong ful", + "Ġl ured", + "Ġcort isol", + "Ġve x", + "d rawn", + "ile t", + "Download ha", + "ĠF action", + "Ġlab yrinth", + "Ġhij acked", + "w aters", + "er ick", + "Ġsuper iors", + "ĠRow ling", + "ĠGu inness", + "Ġt d", + "99 2", + "Ġune arthed", + "Ġcentr if", + "Ġsham eless", + "P od", + "ĠF ib", + "Ġ icing", + "Ġpredict or", + "Ġ29 2", + "fore station", + "con struct", + "C and", + "@ #", + "Ġag itated", + "Ġre pr", + "OV A", + "Ġkn itting", + "ĠLim a", + "Ġf odder", + "68 4", + "ĠPerson a", + "k l", + "7 01", + "Ġbreak up", + "á ¸", + "Ġapp alled", + "Ġantidepress ants", + "ĠSus sex", + "Har ris", + "ĠTher mal", + "ee ee", + "U pload", + "Ġg ulf", + "Ġdoor step", + "ĠSh ank", + "L U", + "ĠM EN", + "ĠP ond", + "s orry", + "Ġmis fortune", + "n ance", + "Ġb ona", + "M ut", + "Ġde graded", + "ĠL OG", + "ĠN ess", + "an imal", + "Ġa version", + "und own", + "Ġsupplement ed", + "ĠC ups", + "Ġ50 4", + "Ġdep rive", + "ĠSpark le", + "Å Ĥ", + "ĠMed itation", + "auth ors", + "ĠSab an", + "ĠN aked", + "air d", + "ĠMand arin", + "ĠScript ures", + "ĠPerson nel", + "ĠMahar ashtra", + "Ġ19 03", + "ĠP ai", + "ĠMir age", + "omb at", + "Access ory", + "Ġfrag mented", + "T ogether", + "Ġbelie vable", + "ĠGl adiator", + "al igned", + "ĠSl ug", + "M AT", + "Ġconvert ible", + "ĠBour bon", + "amer on", + "ĠRe hab", + "nt ax", + "Ġpowd ered", + "pill ar", + "Ġsm oker", + "ĠMans on", + "ĠB F", + "5 11", + "ĠGood ell", + "ĠD AR", + "m ud", + "g art", + "Ġob edient", + "ĠTrans mission", + "ĠDon ation", + "8 80", + "Ġbother ing", + "Material s", + "ãĤ ±", + "dest roy", + "Ġfore going", + "Ġanarch ism", + "ĠK ry", + "ice ps", + "Ġl ittered", + "ĠSch iff", + "Ġanecd otal", + "un its", + "Ġf ian", + "ĠSt im", + "ĠS OME", + "ĠInv aders", + "Ġbehaviour al", + "ĠVent ures", + "Ġsub lime", + "Ġfru ition", + "ĠPen alty", + "Ġcorros ion", + "¶ ħ", + "Ġlik ened", + "Ġbesie ged", + "ween ey", + "ĠCre ep", + "Ġlinem en", + "mult i", + "ic ably", + "ud der", + "Ġvital ity", + "Ġshort fall", + "ĠP ants", + "ap ist", + "H idden", + "ĠDro ps", + "med ical", + "Ġpron unciation", + "ĠN RL", + "Ġinsight ful", + "J V", + "ĠBe ard", + "ĠCh ou", + "Ġchar ms", + "Ġb ins", + "Ġamb assadors", + "ĠS aturdays", + "Ġinhib itor", + "ĠFr anch", + "6 01", + "', '", + "ĠCon or", + "art ney", + "ĠX peria", + "g rave", + "be es", + "ĠProtest ants", + "Ġso aking", + "ĠM andal", + "Ġph ased", + "Ġ6 60", + "Ġsc ams", + "Ġbuzz ing", + "ĠItal ians", + "ĠLoren zo", + "ĠJ A", + "Ġhes itated", + "Ġcl iffs", + "ĠG OT", + "ingu ishable", + "Ġk o", + "Ġinter ruption", + "Z ip", + "Lear ning", + "Ġundersc ores", + "ĠBl ink", + "K u", + "57 9", + "ĠAut ob", + "I RE", + "Ġwater ing", + "Ġpast ry", + "8 20", + "Ġvision ary", + "ĠTempl ar", + "awa ited", + "Ġpist on", + "Ġant id", + "current ly", + "Ġp ard", + "Ġw aging", + "Ġnob ility", + "ĠY us", + "Ġinject ing", + "f aith", + "ĠP ASS", + "å º", + "Ġret ake", + "ĠPR OC", + "Ġcat hedral", + "b ash", + "Ġwrest lers", + "Ġpartner ing", + "Ġn oses", + "Ġ3 58", + "Trans form", + "am en", + "Ġb outs", + "ĠId eal", + "ĠConstant in", + "Ġse p", + "ĠMon arch", + "att en", + "ĠPe oples", + "mod ified", + "Ġmor atorium", + "Ġpen chant", + "Ġoffensive ly", + "Ġprox ies", + "ok ane", + "ĠTaiwan ese", + "ĠP oo", + "ĠH OME", + "us ional", + "Ġver bs", + "ĠO man", + "vis ory", + "Ġpersu asion", + "Ġmult it", + "Ġsc issors", + "G ay", + "ow ay", + "oph ysical", + "l us", + "gn u", + "Ġap ocalyptic", + "Ġabsurd ity", + "Ġplay book", + "Ġautobi ography", + "I UM", + "Ġsne aking", + "ĠSim ulation", + "pp s", + "ell ery", + "Plan et", + "Ġright fully", + "Ġn iece", + "ĠN EC", + "ĠIP O", + "ĠDis closure", + "lean or", + "ous y", + "ST ER", + "Ġ28 2", + "Cru z", + "Ch all", + "64 3", + "ĠSurv ive", + "ĠF atal", + "ĠAm id", + "ap o", + "We apons", + "D EN", + "7 70", + "ĠGreen wald", + "Ġlin en", + "al os", + "Ġpollut ants", + "ĠPCI e", + "k at", + "Ġp aw", + "ĠK raft", + "C hem", + "ĠTermin ator", + "Ġre incarn", + "Ġ] [", + "ĠSe eds", + "Ġsilhou ette", + "ĠSt ores", + "Ġgro oming", + "ĠD irection", + "ĠIs abel", + "ĠBr idges", + "ðŁ ij", + "E ED", + "ĠM orsi", + "Ġval ves", + "ĠRank ed", + "ĠPh arma", + "ĠOrgan izations", + "Ġpenet rated", + "ĠRod ham", + "ĠProt oss", + "Ġove rest", + "Ġex asper", + "ĠT J", + "Ġ 000000", + "Ġtrick le", + "Ġbour bon", + "WH O", + "Ġw retched", + "Ġmicrosc opic", + "Ġcheck list", + "Ġad orned", + "R oyal", + "Ad minist", + "ĠRet irement", + "ĠHig hest", + "We ather", + "ile ge", + "Ġincre ments", + "ĠC osponsors", + "Ġmas se", + "ĠS inn", + "r f", + "Ġh ordes", + "as sembly", + "75 4", + "ĠNat asha", + "ĠTY PE", + "ĠGEN ERAL", + "Ġarr anging", + "Ġ40 7", + "l ator", + "Ġg lean", + "Ġdisc redited", + "Ġclin icians", + "UN E", + "Ġachie ves", + "ĠEm erson", + "com plex", + "= [", + "Ġprincip ally", + "Ġfra il", + "p icked", + "Ġthan king", + "Ġre cl", + "ĠL AST", + "Ġsupp ressing", + "il ic", + "Ġantidepress ant", + "ĠLis bon", + "Ġth or", + "Ġsp a", + "Ġking doms", + "ĠPear ce", + "em o", + "Ġpl ung", + "Ġdiv est", + "Ġ ********************************", + "b is", + "osp els", + "ad r", + "Sp irit", + "hall a", + "P ink", + "end ez", + "Ġresurrect ed", + "esc ape", + "ĠRosen stein", + "Ġge ological", + "Ġnecess ities", + "Ġcarn iv", + "ĠE lys", + "ĠBar ney", + "Ġ29 6", + "dig y", + "ST ON", + "D OWN", + "Ġmil estones", + "Ġk er", + "Ġdismant ling", + "Ġre prim", + "Ġcross ings", + "19 45", + "Ġpatri archy", + "Ġblasp hemy", + "Ġ3 59", + "met ry", + "ĠOb esity", + "ĠDiff erences", + "bl ocking", + "ãĥķ ãĤ¡", + "ich ita", + "ĠSab ha", + "ph alt", + "ĠCol o", + "ual a", + "effic ients", + "ĠMed ina", + "con sole", + "55 7", + "ĠHann ibal", + "ĠHab it", + "ĠF ever", + "Ġthen ce", + "Ġsyn agogue", + "Ġessential s", + "Ġw ink", + "ĠTr ader", + "ID A", + "ĠSp oiler", + "ĠIceland ic", + "ĠHay ward", + "Ġpe ac", + "Ġmal ice", + "Ġflash back", + "Ġth w", + "Ġlay offs", + "L iquid", + "Ġtro oper", + "Ġh inge", + "ĠRead ers", + "Ph ill", + "ĠB auer", + "Cre ated", + "Ġaud its", + "ac compan", + "Ġunsus pecting", + "ier a", + "6666 6666", + "Ġbro ch", + "Ġapprehend ed", + "ĠM alk", + "cer ning", + "ĠCod ex", + "O VER", + "M arsh", + "ĠD eng", + "ĠExp ression", + "Ġdisrespect ful", + "Ġasc ending", + "t ests", + "ĠPlaint iff", + "ster y", + "ĠAl ibaba", + "din and", + "ĠDem psey", + "Applic ations", + "mor al", + "Ġthrough put", + "Ġquar rel", + "Ġm ills", + "Ġhe mor", + "ĠC ASE", + "terror ist", + "st im", + "ifest yle", + "ro zen", + "CE PT", + "Ar k", + "u ci", + "lect ic", + "Ġirrit ating", + "she ets", + "A y", + "Ġrede emed", + "Ġhorn y", + "ĠTe ach", + "ĠS ear", + "dem ocracy", + "4 65", + "ĠRest ore", + "Ġstand by", + "ĠP is", + "iff in", + "Ġsleep y", + "Ġextr ater", + "Ġcompl iments", + "Fram eworks", + "Ġinstall s", + "Ġb anging", + "sur face", + "found land", + "Ġmetaph ysical", + "Ġ28 3", + "oul s", + "dev ices", + "Ar gs", + "ĠSac rifice", + "ĠMcC orm", + "es on", + "Cons ervative", + "ĠM ikhail", + "see ing", + "is ively", + "ĠRo oms", + "ĠGener ic", + "Ġenthusi astically", + "Ġgri pped", + "Ġcomed ic", + "ĠElectric ity", + "Ġgu errilla", + "Ġdec oration", + "ĠPerspect ive", + "Ġconsult ations", + "Ġun amb", + "Ġplag iar", + "Ġmagic ian", + "Ġe rection", + "ĠTour ism", + "or ied", + "ro xy", + "11 00", + "T am", + "Ī è", + "Î ³", + "× ª", + "ĠPred ators", + "Nit rome", + "Ġtelesc opes", + "project s", + "Ġun protected", + "Ġst ocked", + "ĠEnt reprene", + "nex pected", + "Ġwast ewater", + "V ill", + "Ġint imately", + "Ġi Cloud", + "ĠConst able", + "Ġspo of", + "Ġne farious", + "Ġfin s", + "Ġcens or", + "ĠMod es", + "ĠEs per", + "ar bon", + "Ġinter sections", + "Ġlaud ed", + "Ġphys i", + "Ġgener ously", + "ĠThe Nitrome", + "ĠTheNitrome Fan", + "Ġar isen", + "ĠÙ Ī", + "Ġg lands", + "ĠPav ilion", + "ĠGu pta", + "Ġuniform ly", + "Ġr amps", + "ri et", + "ĠWH EN", + "ĠVan essa", + "Ġrout ed", + "Ġlim p", + "ĠC PI", + "p ter", + "int uitive", + "Ġv aping", + "Ġexperiment ed", + "ĠOlymp us", + "ĠAm on", + "Ġsight ing", + "Ġinfiltr ate", + "ĠGentle man", + "Ġsign ings", + "ĠMe ow", + "ĠNav igation", + "che cks", + "4 33", + "Ġel apsed", + "ĠBulg arian", + "esp ie", + "ĠS OM", + "d uring", + "Ġsp ills", + "anc a", + "ĠPly mouth", + "M AL", + "Ġdomest ically", + "ĠWater gate", + "ĠF AM", + "k illed", + "ed ited", + "ĠYour self", + "Ġsynchron ization", + "ĠPract ices", + "ST EP", + "Ġgen omes", + "ĠQ R", + "not ice", + "Ġloc ating", + "z in", + "Ġ3 29", + "al cohol", + "Ġk itten", + "V o", + "Ġr inse", + "Ġgrapp le", + "ĠSc rew", + "ĠD ul", + "A IR", + "Ġle asing", + "ĠCaf é", + "Ġro ses", + "ĠRes pect", + "Ġmis lead", + "Ġperfect ed", + "Ġnud ity", + "Ġnon partisan", + "ĠCons umption", + "Report ing", + "Ġnu ances", + "Ġdeduct ible", + "ĠSh ots", + "Ġ3 77", + "Ġæ ľ", + "ano oga", + "Ben ef", + "ĠB am", + "ĠS amp", + "if ix", + "Ġgal van", + "ĠMed als", + "rad ius", + "Ġno bles", + "Ġe aves", + "igr ate", + "K T", + "ĠHar bour", + "u ers", + "Ġrisk ed", + "re q", + "Ġneuro t", + "get table", + "ain a", + "Rom ney", + "Ġunder pin", + "Ġlo ft", + "ĠSub committee", + "ĠMong ol", + "b iz", + "Ġmanif ests", + "ass isted", + "ĠG aga", + "Ġsy nergy", + "Ġreligious ly", + "ĠPre f", + "ĠG erry", + "T AG", + "ĠCho i", + "4 66", + "beh ind", + "ĠO u", + "Gold Magikarp", + "Ġhemor rh", + "R iver", + "Ġtend on", + "Ġinj ure", + "ĠF iona", + "Ġp ag", + "Ġag itation", + "|| ||", + "ur an", + "ĠE SA", + "Ġest eem", + "Ġdod ging", + "Ġ4 12", + "r ss", + "Ġce ases", + "ex cluding", + "Ġint akes", + "Ġinsert s", + "Ġemb old", + "ĠO ral", + "up uncture", + "4 11", + "ĠUn ified", + "ĠDe le", + "Ġfurn ace", + "ĠCoy otes", + "ĠBr ach", + "L abor", + "Ġhand shake", + "Ġbru ises", + "Gr ade", + "éĹ ĺ", + "ĠGram my", + "ile en", + "St ates", + "ĠScandinav ian", + "ĠKard ash", + "8 66", + "Ġeffort lessly", + "ĠDI RECT", + "ĠTH EN", + "ĠMe i", + "ert ation", + "19 68", + "Ġgro in", + "w itch", + "Requ irements", + "98 5", + "Ġroof s", + "Ġest ates", + "ĠH F", + "Ġha ha", + "Ġdense ly", + "ĠO CT", + "Ġpl astics", + "Ġincident ally", + "ĠTr acks", + "ĠTax es", + "Ġch anted", + "Ġforce ful", + "ĠBie ber", + "ĠK ahn", + "K ent", + "ĠC ot", + "lic ts", + "F ed", + "Ġhide ous", + "ĠVer d", + "ĠSynd icate", + "ĠIl legal", + "J et", + "ĠD AV", + "re asonable", + "c rew", + "Ġfundamental ist", + "Ġtruth ful", + "ĠJ ing", + "Ġl il", + "Ġdown ed", + "Ġen chanted", + "ĠPolic ies", + "ĠMcM aster", + "ĠH are", + "ides how", + "Ġpar ams", + "en cers", + "gorith m", + "Ġallow ances", + "Ġturb ulent", + "Ġcomplex ities", + "ĠK T", + "Ġ3 37", + "ĠGen etic", + "F UN", + "D oug", + "t ick", + "Ġg igs", + "ument hal", + "Ġpatriarch al", + "Ġcal c", + ", ...", + "Ġc out", + "ĠGu an", + "Ġpath ological", + "ĠR ivals", + "Ġunder rated", + "Ġflu orescent", + "ĠJ iu", + "arna ev", + "ĠQu an", + "Ġ4 29", + "Ġ à¨", + "M ario", + "Con struct", + "ĠC itation", + "ĠR acial", + "ĠR SA", + "ĠF idel", + "Ġ3 95", + "Person ally", + "C ause", + "à »", + "rad ical", + "in en", + "Ġvehement ly", + "ĠPap a", + "Ġintern ship", + "Ġfl akes", + "ĠRe ck", + "Luck ily", + "B ra", + "20 20", + "rav ings", + "R N", + "W onder", + "Ser iously", + "Ġre usable", + "Ġpoll uted", + "ĠP eng", + "le igh", + "ind le", + "Ġcircuit ry", + "ĠMad onna", + "ĠB ART", + "Res idents", + "att ribute", + "Phil adelphia", + "Cl ub", + "Ġplan ner", + "Ġfr antically", + "Ġfaith fully", + "ĠTerrit ories", + "ĠL AT", + "ĠAnders en", + "an u", + "ĠP ARK", + "ĠS ora", + "i age", + "ĠPlay offs", + "ĠG CC", + "4 27", + "Ġab norm", + "ĠL ever", + "Ġdisob edience", + "As ync", + "ĠShe a", + "V ert", + "Ġsk irts", + "ĠSaw yer", + "x p", + "Ġwors ening", + "Ġsc apego", + "ĠAng le", + "oth al", + "Ġtro ve", + "ĠSt y", + "ĠN guyen", + "mar ine", + "ide on", + "Dep ths", + "Bl og", + "ĠIll uminati", + "Ġtract s", + "Ġorgan ise", + "Ġo str", + "F s", + "Ġlever aging", + "ĠD aredevil", + "as ar", + "Ġl ang", + "Ġex termin", + "urs ions", + "ĠRom o", + "ãĤ¤ ãĥĪ", + "Ġcont ended", + "Ġencounter ing", + "ĠTable t", + "ĠAltern ate", + "sk ill", + "Ġswe ets", + "Ġco hesive", + "cap acity", + "Ġrep ud", + "Ġl izard", + "ro o", + "Ġpilgr ims", + "ĠR uff", + "ĠInstr ument", + "ĠLog o", + "uit ous", + "E H", + "Ġsales man", + "Ġank les", + "L ed", + "ĠPat ty", + "ud os", + "Own er", + "Ġdiscrep ancies", + "k j", + "M U", + "Ġuncond itional", + "Dragon Magazine", + "i ard", + "O ak", + "ĠConvers ation", + "be er", + "ĠOs aka", + "D elta", + "us ky", + "Ġsecret ion", + "Ġpl aza", + "Ġm ing", + "Ġde pletion", + "ĠM ous", + "ĠI TS", + "ĠH imal", + "ĠFle ming", + "Ġcyt ok", + "ĠH ick", + "Ġbat ters", + "ĠInt ellectual", + "6 75", + "é r", + "IS ION", + "ĠQu entin", + "ĠCh apters", + "ih adi", + "Ġco aster", + "WAY S", + "ĠL izard", + "ĠY or", + "and ering", + "S kin", + "ha ust", + "ab by", + "Ġportray ing", + "Ġwield ed", + "d ash", + "Ġprop onent", + "Ġr ipple", + "Ġgrap hene", + "Ġfly er", + "Ġrec urrent", + "Ġdev ils", + "Ġwater fall", + "æĺ ¯", + "go o", + "Text Color", + "Ġtam pering", + "IV ES", + "TR UMP", + "ĠAb el", + "ĠS AL", + "ĠHend ricks", + "ĠLu cius", + "b ots", + "Ġ40 96", + "IST ORY", + "Gu est", + "ĠN X", + "in ant", + "Ben z", + "ĠLoad ed", + "ĠCle ver", + "t reatment", + "Ġta vern", + "Ġ3 39", + "ĠT NT", + "ific antly", + "Tem perature", + "F el", + "Ġunder world", + "ĠJud ges", + "Ġ< +", + "Ġst ump", + "Ġoccup ancy", + "Ġab er", + "ĠF inder", + ") \",", + "ĠN unes", + "res et", + "in et", + "ect omy", + "Ġwell ness", + "ĠP eb", + "quart ered", + "and an", + "Ġneg atives", + "ĠTh iel", + "ĠCl ip", + "ĠL TD", + "Ġbl ight", + "Ġreperto ire", + "K yle", + "Ġqu er", + "ĠC es", + "Ġha pl", + "98 9", + "ĠTh ames", + "isc opal", + "Des k", + "ivari ate", + "ĠEx cellence", + "found ation", + "Ġâ ĩ", + "X i", + "Ġmyster iously", + "esty les", + "Ġper ish", + "ĠEng els", + "ĠDE AD", + "09 0", + "}} }", + "ĠUn real", + "Ġrest less", + "ID ES", + "orth odox", + "ĠInter mediate", + "Ġdin ners", + "ĠTr out", + "ĠSe ym", + "ĠHall s", + "og ged", + "Ġtraged ies", + "Ġdid nt", + "67 6", + "Ġail ments", + "Ġobserv able", + "ĠV ide", + "ad apt", + "ĠD usk", + "Ġprofessional ism", + "ĠPres cott", + "ĠInd ies", + "p ox", + "ĠMe hran", + "W ide", + "Ġend emic", + "ĠPar an", + "B ird", + "Ġped als", + "ĠI U", + "ĠAdam ant", + "ĠH urt", + "Ġcorrel ates", + "urd en", + "Ġspons oring", + "cl imate", + "ĠUnivers ities", + "ĠK not", + "enn es", + "ĠDam ian", + "ĠAx el", + "S port", + "Ġbar b", + "ĠS no", + "sh own", + "ste en", + "ud ence", + "Ġnon violent", + "Ġhom ophobia", + "Ġbiom ass", + "ĠDet ail", + "Ġsrf N", + "ĠT une", + "accompan ied", + "I ENCE", + "Al bert", + "ĠMong o", + "z x", + "ĠCer berus", + "or bit", + "c ens", + "Ġsl ay", + "SH ARE", + "H Y", + "Ġb rawl", + "ĠPro be", + "Ġnonex istent", + "ĠClare nce", + "ĠBlack burn", + "Ġport als", + "ĠR ita", + "ĠRem ain", + "ĠLe vant", + "Ġtrick ed", + "ĠF erry", + "aver ing", + "ĠStraw berry", + "ĠAn swers", + "Ġhorrend ous", + "ĠA man", + "Supp lement", + "ĠT oad", + "Ġpe eled", + "Ġman oeuv", + "ĠU zbek", + "mond s", + "ĠH ector", + "Ġ40 2", + "pe es", + "fix es", + "Ġd j", + "Ġres umes", + "Ġaccount ant", + "Ġadvers ity", + "Ġham pered", + "ĠL arson", + "Ġd oping", + "part s", + "H ur", + "Ġbe arded", + "Ġy r", + "ĠPlug in", + "å¥ ³", + "Ġ/ **", + "rol ley", + "Ġwaters hed", + "ĠSub mission", + "if lower", + "AS C", + "Ġcho ir", + "Ġsculpt ures", + "m A", + "incre asing", + "ai i", + "Ġsne akers", + "Ġconfront s", + "ĠEle phant", + "ĠEl ixir", + "Ġrec al", + "ĠT TL", + "w idget", + "ĠW ax", + "ĠGr ayson", + "Ġha irst", + "Ġhumili ated", + "ĠWAR N", + "app iness", + "ĠT TC", + "F uel", + "Ġpol io", + "Ġcomplex es", + "Ġbab e", + "ĠX IV", + "P F", + "). [", + "P arts", + "Ġ4 35", + "M eg", + "ĠY ards", + "ĠAL P", + "Ġy ells", + "Ġprin ces", + "Ġbull ies", + "ĠCapital ism", + "ex empt", + "FA Q", + "ĠSp onge", + "ĠAl a", + "Ġpleas antly", + "Ġbu f", + "Ġden ote", + "Ġunp ublished", + "Ġkne eling", + "asc a", + "Ġl apse", + "al ien", + "99 4", + "Ġrefere es", + "ĠLaw yers", + "S anta", + "Ġpuzz ling", + "ĠProm etheus", + "ĠPh araoh", + "ĠDel ay", + "Ġfacilit ates", + "ĠC ES", + "Ġjew els", + "Ġbook let", + "ond ing", + "Ġpolar ization", + "ĠMor an", + "ĠSal ad", + "ĠS OS", + "ĠAdv ice", + "PH OTOS", + "IC AN", + "iat ures", + "ex press", + "ĠWonder land", + "ĠC ODE", + "ĠCL ASS", + "9 75", + "Ġg rep", + "ĠD iesel", + "ĠGl ac", + "! ?\"", + "Ġr m", + "o ine", + "disc rimination", + "ĠN urse", + "m allow", + "Ġv ortex", + "ĠCons ortium", + "Ġlarge Download", + "stra ight", + "augh lin", + "G rad", + "Ġpublic ized", + "ĠW aves", + "ĠRed d", + "Ġfest ivities", + "ĠM ane", + "ar ov", + "Ġfleet ing", + "ĠDr unk", + "ug en", + "C ele", + "Ġchromos omes", + "ĠD OT", + "-+-+ -+-+", + "Ġbus iest", + "ĠBe aver", + "Sy rian", + "ĠK yr", + "k as", + "ĠCross Ref", + "19 50", + "76 01", + "Ġrepe aling", + "ĠWin ners", + "ĠMac ro", + "ĠD OD", + "bl ance", + "S ort", + "64 1", + "Ġmet re", + "ĠD irk", + "Ġgo ggles", + "Ġdraw backs", + "Ġcomplain ant", + "Ġauthor izing", + "Ġantit rust", + "oper ated", + "Ġm ah", + "Ġexagger ation", + "Am azing", + "ĠSer aph", + "Ġha ze", + "w ow", + "Ġextingu ished", + "Ġcan yon", + "ĠB osh", + "Ġv ents", + "Ġsc rape", + "Cor rect", + "4 26", + "Ġav g", + "Dem and", + "ĠâĪ ¼", + "Ġmicrobi ota", + "\"} ],\"", + "ĠSt ev", + "B io", + "ĠPlan es", + "Ġsuggest ive", + "Ġdec ipher", + "ĠRefuge e", + "ĠKe jriwal", + "ĠGreen peace", + "Ġdecl ass", + "ĠSound ers", + "Ġth o", + "Ġdec rypt", + "Ġbr ushing", + "ĠJane iro", + "ip op", + "S i", + "8 77", + "ĠGeoff rey", + "Ġc pu", + "ĠHaz el", + "Ġview points", + "Ġcris py", + "ĠNot ification", + "Ġsold er", + "ĠMod est", + "ĠHem isphere", + "Ġcass ette", + "in cludes", + "Ġident ifiers", + "ĠC ALL", + "in cent", + "T odd", + "ĠSwe ep", + "Ġ3 34", + "b oss", + "Ġsm ir", + "gin x", + "Ġtown ship", + "Ġg rieving", + "ĠMos que", + "Net flix", + "AS ED", + "ĠMillenn ials", + "oc om", + "19 67", + "Ġbold ly", + "s leep", + "Ġes che", + "arij uana", + "Ġsw irl", + "ĠPen al", + "Ġneglig ent", + "ĠStephen son", + "K ER", + "ĠZ oro", + "ris is", + "Ġlocal ization", + "ĠSeym our", + "ĠAng lic", + "red itation", + "prot ection", + "ĠPa ige", + "Ġo mit", + "ĠR ousse", + "ĠT ub", + "Ġinv itations", + "t ty", + "Ġm oss", + "ph ysical", + "C redits", + "Ġan archy", + "Ġchild care", + "Ġl ull", + "ĠM ek", + "ĠL anguages", + "lat est", + "ĠSan ford", + "Ġus ability", + "Ġdiff use", + "ĠD ATA", + "Ġsp rites", + "ĠVeget a", + "ĠProm otion", + "ãĥ¼ ãĤ¯", + "rict ing", + "z ee", + "Tur kish", + "ĠTD s", + "pro ven", + "57 1", + "Ġsmug glers", + "707 10", + "Ġreform ed", + "ĠLo is", + "Ġun fl", + "ĠWITH OUT", + "ĠReturn ing", + "ann ie", + "ĠTom as", + "Fr anc", + "ĠProf it", + "ĠSER V", + "ĠR umble", + "ik uman", + "es an", + "Ġt esters", + "Ġgad get", + "Ġbrace let", + "ĠF SA", + "comp onent", + "Ġparamed ics", + "Ġj an", + "ĠRem em", + "ĠSk inner", + "Ġl ov", + "ĠQu ake", + "rom a", + "Ġfl ask", + "Pr inc", + "Ġover power", + "Ġlod ging", + "ĠK KK", + "ret te", + "Ġabsor bs", + "w rote", + "Ġ ,\"", + "K ings", + "ĠH ail", + "ĠFall ing", + "xt ap", + "ĠHel ena", + "ire ns", + "L arry", + "Ġpamph let", + "ĠC PR", + "G ro", + "ĠHirosh ima", + "Ġhol istic", + "\". [", + "Ġdet achment", + "Ġas pire", + "Ġcompl icit", + "ĠGreen wood", + "Ġresp awn", + "ĠSt upid", + "ĠFin ished", + "f al", + "b ass", + "Ġab hor", + "Ġmock ery", + "ĠFe ast", + "VID EO", + "Ġcon sec", + "ĠHung ry", + "P ull", + "ĠH ust", + "it ance", + "? ãĢį", + ") --", + "ĠPar allel", + "con v", + "4 69", + "ha ar", + "w ant", + "P aper", + "m ins", + "ĠTor o", + "ĠTR UMP", + "ĠR ai", + "D W", + "ĠW icked", + "ĠL ep", + "Ġfun ky", + "Ġdetrim ent", + "ios is", + "ache v", + "Ġde grade", + "im ilation", + "Ġret ard", + "Ġfrag mentation", + "Ġcow boy", + "ĠY PG", + "ĠH AL", + "Parent s", + "ĠS ieg", + "ĠStra uss", + "ĠRub ber", + "× IJ", + "Fr ag", + "Ġp t", + "Ġoption ally", + "ĠZ IP", + "ĠTrans cript", + "ĠD well", + "88 2", + "M erc", + "ĠM OT", + "ãĥ¯ ãĥ³", + "Ġhun ts", + "Ġexec utes", + "In cludes", + "Ġacid ic", + "ĠRespons ibility", + "ĠD umb", + "we i", + "And erson", + "ĠJas per", + "ight on", + "abs olutely", + "Ad ult", + "Ġpl under", + "Mor ning", + "ĠT ours", + "ĠD ane", + "Î º", + "ĠT EST", + "ĠG ina", + "Ġcan ine", + "aw an", + "Ġsocial ists", + "ĠS oda", + "Ġimp etus", + "ĠSupplement ary", + "oli ath", + "ĠKinn ikuman", + "mitted ly", + "second s", + "Ġorganis ers", + "Ġdocument aries", + "Vari able", + "GRE EN", + "Ġres orts", + "Ġbr agging", + "Ġ3 68", + "Art ist", + "w k", + "bl ers", + "Un common", + "ĠRet rieved", + "Ġhect ares", + "Ġtox in", + "r ank", + "Ġfaith s", + "ĠG raphic", + "Ġve c", + "ĠL IA", + "Af rican", + "Ġard ent", + "end iary", + "L ake", + "ĠD OS", + "cient ious", + "ĠOk awaru", + "ĠAll y", + "ĠTim eline", + "D ash", + "ĠI c", + "contin ue", + "Ġt idy", + "Ġinstinct ively", + "ĠP ossibly", + "ĠOut door", + "ĠWould n", + "Ġl ich", + "ĠBr ay", + "ĠA X", + "Ġà ī", + "Ġ+ #", + "\\ '", + "Direct ory", + "ab iding", + "Ġf eral", + "ic ative", + "but t", + "Ġper verse", + "S alt", + "Ġwar ped", + "Ġnin eteen", + "Ġcabin ets", + "Ġsrf Attach", + "ĠSl oan", + "Ġpower ing", + "reg ation", + "F light", + "se vere", + "Ġst ren", + "Ġc og", + "ap ache", + "Ġâ Ŀ", + "Ġcaf eteria", + "p aces", + "ĠGrim oire", + "uton ium", + "Ġr aining", + "Ġcir cling", + "Ġlineback ers", + "c redit", + "Ġrep atri", + "ĠCam den", + "lic ense", + "Ġly ric", + "Ġdescript or", + "Ġval leys", + "Ġre q", + "Ġback stage", + "ĠPro hibition", + "ĠK et", + "Op ening", + "S ym", + "æĸ ¹", + "Ġserv ings", + "Ġoverse en", + "Ġaster oids", + "ĠMod s", + "ĠSpr inger", + "ĠCont ainer", + "è »", + "ĠM ens", + "Ġmult im", + "Ġfire fighter", + "pe c", + "Ġchlor ine", + "Ð ¼", + "end i", + "Ġsp aring", + "Ġpolyg amy", + "ĠR N", + "ĠP ell", + "Ġt igers", + "Ġflash y", + "ĠMad ame", + "S word", + "Ġpref rontal", + "Ġpre requisite", + "uc a", + "Ġw ifi", + "Ġmiscon ception", + "Ġharsh ly", + "ĠStream ing", + "ot om", + "ĠGiul iani", + "foot ed", + "Ġtub ing", + "ind ividual", + "z ek", + "n uclear", + "m ol", + "Ġright ful", + "49 3", + "Ġspecial ization", + "Ġpassion ately", + "ĠVel ocity", + "ĠAv ailability", + "T enn", + "Ġl atch", + "ĠSome body", + "Ġhel ium", + "cl aw", + "Ġdi pping", + "XX X", + "Ġinter personal", + "7 10", + "Ġsub ter", + "Ġbi ologists", + "ĠLight ing", + "Ġopt ic", + "Ġden im", + "end on", + "ĠC orm", + "Ġ3 41", + "ĠC oup", + "Ġfear less", + "Ġal ot", + "ĠCliff ord", + "ĠRun time", + "ĠProv ision", + "up dated", + "lene ck", + "Ġneur on", + "Ġgrad ing", + "ĠC t", + "sequ ence", + "in ia", + "con cept", + "Ġro aring", + "ri val", + "ĠCaucas ian", + "Ġmon og", + "key es", + "Ġappell ate", + "Ġlia ison", + "EStream Frame", + "ĠPl um", + "! .", + "Ġsp herical", + "Ġper ished", + "Ġbl ot", + "Ġben ches", + "Ġ4 11", + "Ġpione ered", + "Ġhur led", + "Jenn ifer", + "ĠYose mite", + "Ch air", + "Ġreef s", + "Ġelect or", + "ĠAnt hem", + "65 2", + "Ġun install", + "Ġimp ede", + "Ġbl inking", + "Ġgot o", + "Dec re", + "A ren", + "Ġstabil ization", + "ĠDis abled", + "ĠYanuk ovych", + "Ġoutlaw ed", + "ĠVent ura", + "ten ess", + "Ġplant ation", + "Ġy acht", + "ĠHu awei", + "Ġsol vent", + "Ġgr acious", + "Ġcur iously", + "Ġcapac itor", + "Ġc x", + "ĠRef lex", + "Ph ys", + "ĠC f", + "pt in", + "cons ervative", + "Ġinv ocation", + "c our", + "F N", + "ĠNew ly", + "H our", + "As ian", + "ĠLe ading", + "ĠAer ospace", + "An ne", + "Ġpre natal", + "Ġdeterior ating", + "H CR", + "ĠNorm andy", + "ol ini", + "ĠAm bro", + "9 10", + "Ġset backs", + "ĠT RE", + "Ġs ig", + "ĠSc ourge", + "59 7", + "79 8", + "Game play", + "Ġm sec", + "M X", + "Ġprice y", + "ĠL LP", + "aker u", + "Ġover arching", + "ĠB ale", + "Ġworld ly", + "Cl ark", + "Ġscen ic", + "Ġdisl iked", + "ĠCont rolled", + "T ickets", + "ĠE W", + "ab ies", + "ĠPl enty", + "Non etheless", + "Ġart isan", + "Trans fer", + "ĠF amous", + "Ġinf ield", + "ble y", + "Ġunres olved", + "ĠML A", + "ãĤ Ĥ", + "Cor rection", + "Ġdemocr at", + "ĠMore no", + "ro cal", + "il ings", + "Ġsail or", + "Ġr ife", + "h ung", + "Ġtrop es", + "Ġsn atched", + "ĠL IN", + "ĠB ib", + "ES A", + "ĠPre v", + "ĠCam el", + "run time", + "Ġob noxious", + "4 37", + "Ġsum mers", + "Ġunexpl ained", + "ĠWal ters", + "cal iber", + "Ġg ull", + "ĠEnd urance", + "ä½ ľ", + "Ġ3 47", + "Ir ish", + "Ġaer obic", + "Ġcr amped", + "ĠHon olulu", + "à ©", + "us erc", + "ec ast", + "AC Y", + "ĠQu ery", + "ãĤ¹ ãĥĪ", + "Bet a", + "Ġsuscept ibility", + "ĠSh iv", + "ĠLim baugh", + "Ġà ĸ", + "ĠN XT", + "ĠM uss", + "ĠBrit ons", + "ES CO", + "EG IN", + "Ġ% %", + "Ġsec ession", + "ĠPat ron", + "ĠLu a", + "n aires", + "ĠJPM organ", + "us b", + "ocy te", + "Ġcouncill ors", + "ĠLi ang", + "f arm", + "Ġnerv ously", + "Ġattract iveness", + "ĠK ov", + "j ump", + "Pl ot", + "Ġst ains", + "ĠStat ue", + "ĠApost les", + "he ter", + "ĠSUP PORT", + "Ġoverwhel m", + "Y ES", + "Ġ29 1", + "d ensity", + "Ġtra pping", + "M it", + "Ġf ide", + "ĠPam ela", + "atl antic", + "Dam n", + "Ġp ts", + "OP A", + "Ġserv icing", + "Ġoverfl owing", + "ul o", + "ĠE rit", + "t icket", + "light ing", + "ĠH mm", + "ãĥ¼ ãĥ«", + "im oto", + "Ġchuck le", + "4 23", + "ãģ ķ", + "sh ape", + "Ġque ues", + "Ġanch ors", + "ãĤ¼ ãĤ¦ãĤ¹", + "F er", + "Ġaw oke", + "Ġ6 66", + "h ands", + "Ġdiver gence", + "Ġ50 5", + "T ips", + "Ġdep ot", + "Ġske w", + "ĠDel iver", + "op ot", + "Ġdiv ul", + "ĠE B", + "uns igned", + "ĠUn i", + "X box", + "Ġfor ks", + "Ġ7 02", + "å ¯", + "Ġpromot ers", + "ĠV apor", + "Ġlev ied", + "sl ot", + "Ġpig ment", + "Ġcyl inders", + "C RE", + "Ġsn atch", + "Ġperpet ually", + "Ġl icking", + "ĠFe et", + "ĠKra ken", + "ĠHold en", + "ĠCLS ID", + "m r", + "Ġproject or", + "Ġden otes", + "Ġchap el", + "ĠTor rent", + "b ler", + "R oute", + "ĠDef endant", + "ĠPublisher s", + "ĠM ales", + "ĠInn ov", + "ĠAg ility", + "rit er", + "ty mology", + "st ores", + "L ind", + "Ġf olly", + "ĠZur ich", + "B le", + "Ġnurt ure", + "Ġcoast line", + "uch in", + "D omin", + "Ġfri vol", + "ĠCons olid", + "res ults", + "M J", + "Ġphyl ogen", + "Ġha uled", + "ĠW iley", + "ĠJess ie", + "ĠPrep are", + "ĠE ps", + "Ġtreasure r", + "I AS", + "Ġcolon ists", + "Ġin und", + "ĠWW F", + "ĠCon verted", + "6 000", + "out side", + "ĠApp earance", + "ĠRel ic", + "ĠM ister", + "s aw", + "Ġresult ant", + "Ġadject ive", + "ĠLaure l", + "ĠHind i", + "b da", + "Pe ace", + "Ġreb irth", + "Ġmembr anes", + "Ġforward ing", + "Ġcoll ided", + "ĠCar olyn", + "K ansas", + "5 99", + "ĠSolid GoldMagikarp", + "Be ck", + "Ġstress ing", + "ĠGo o", + "ĠCooper ative", + "Ġf s", + "ĠAr chie", + "L iter", + "ĠK lopp", + "J erry", + "Ġfoot wear", + "War ren", + "Ġsc ree", + "h are", + "Under standing", + "P ed", + "Ġanth ology", + "ĠAnn ounce", + "M ega", + "Ġflu ent", + "Ġbond age", + "ĠDisc ount", + "il ial", + "C art", + "ĠNight mares", + "Sh am", + "ĠB oll", + "uss ie", + "H ttp", + "Atl anta", + "Ġun recogn", + "ĠB id", + "Ġunder grad", + "Ġforg iving", + "ĠGl over", + "AAAA AAAA", + "4 45", + "V G", + "pa io", + "kill ers", + "Ġrespons ibly", + "Ġmobil ize", + "Ġeffect ed", + "ĠL umin", + "Ġk ale", + "Ġinfring ing", + "ann ounced", + "Ġf itt", + "b atch", + "ĠT ackle", + "ĠL ime", + "ĠAP P", + "uke mia", + "Ġrub y", + "Ġex oner", + "ĠCas ual", + "0 70", + "Ġpel vic", + "Ġautom ate", + "ĠK ear", + "ĠCoast al", + "Ġcre ed", + "Ġbored om", + "ĠSt un", + "ri ott", + "Ĥ İ", + "Ġregener ate", + "Ġcomed ians", + "ĠOP ER", + "Sp ons", + "id ium", + "on is", + "L ocated", + "05 7", + "Ġsusp ense", + "ĠD ating", + "C ass", + "Ġneoc ons", + "ĠShin zo", + "Ġaw oken", + "ch rist", + "ĠMess ages", + "att led", + "ĠSpr ay", + "ĠSp ice", + "C W", + "Ġshield ing", + "ĠG aul", + "Am id", + "Ġparam ilitary", + "Ġmult if", + "ĠTan ner", + "il k", + "Ġgodd amn", + "g ements", + "Ġbe friend", + "m obi", + "Ġ3 88", + "fold er", + "acc a", + "Ġins in", + "g ap", + "N ev", + "fif th", + "Ġpsychiat ry", + "b anks", + "TH IS", + "Ġhar b", + "ac qu", + "Ġfac ade", + "ĠPower Point", + "80 3", + "Ġbl uff", + "Sh ares", + "Ġfavor ing", + "El izabeth", + "Ãį Ãį", + "Ġr anger", + "77 2", + "ĠAr che", + "h ak", + "ĠGen etics", + "ĠF EMA", + "Ġev olves", + "Ġest e", + "ĠP ets", + "ĠM é", + "ĠInterest ing", + "ĠCanter bury", + "ch apter", + "ĠStar fleet", + "Sp anish", + "Ġdraw back", + "ĠNor wich", + "9 70", + "n orth", + "ag anda", + "Ġtransform ative", + "ram ids", + "bi ology", + "ad ay", + "Ġpropag ation", + "ĠGam ma", + "ĠDen ise", + "ĠCalcul ator", + "ent imes", + "ĠB ett", + "Ġapp endix", + "ĠHD D", + "AK ING", + "Ġst igmat", + "Ġhol ster", + "Ġord inarily", + "Ch ance", + "ĠCont rary", + "Ġad hesive", + "Ġgather s", + "6 12", + "re au", + "ony ms", + "ew ays", + "Ġindu ces", + "Ġinterchange able", + "se m", + "Wh it", + "Ġtr ance", + "Ġincorpor ation", + "ĠExt ras", + "Fin ancial", + "Ġawkward ly", + "ĠStur geon", + "ĠH Y", + "Norm ally", + "ĠEnd ing", + "ĠAss ist", + "enc rypted", + "Ġsub jug", + "Ġn os", + "Ġfan atic", + "C ub", + "C U", + "?\" .", + "Ġirre versible", + "å Ĥ", + "03 1", + "ĠH AR", + "sp read", + "ul ia", + "= $", + "Sc ope", + "L ots", + "Ġlif estyles", + "ol on", + "Ġf eds", + "Ġcongrat ulate", + "web kit", + "Ġindist inguishable", + "ĠSw ing", + "Ġcommand ments", + "qu ila", + "ab ella", + "m ethyl", + "ann abin", + "Ġo vere", + "Ġlob ster", + "ĠQU EST", + "ĠCONT IN", + "bern atorial", + ":::: ::::", + "ĠTra ve", + "ĠSam oa", + "AN I", + "75 2", + "Ð ´", + "userc ontent", + "ĠMod erate", + "y eah", + "ĠK itt", + "Ġwe e", + "Ġstuff ing", + "ĠInter vention", + "ĠD ign", + "Ġware houses", + "ĠF iji", + "Ġpel lets", + "Ġtake away", + "ĠT ABLE", + "ĠClass ical", + "col lection", + "Ġland fall", + "ĠMus cle", + "Ġsett les", + "ĠAD V", + "Ġ3 44", + "L aura", + "Ġf ared", + "ĠPart ial", + "4 36", + "oss ibility", + "ĠD aly", + "ĠT arant", + "ĠFu ji", + "am l", + "c ence", + "55 1", + "ĠProced ures", + "ĠO CD", + "ĠU D", + "t in", + "Q UI", + "ach o", + "4 38", + "Ġgl itches", + "Ġenchant ment", + "Ġcalcul ates", + "IR O", + "ĠH ua", + "alys es", + "ĠL ift", + "um o", + "Ġle apt", + "Ġhypothes ized", + "ĠGust av", + "it ans", + "VERS ION", + "æ ł", + "Rog er", + "Ġr and", + "ĠAd apter", + "Ġ3 31", + "ĠPet ition", + "k ies", + "M ars", + "Ġunder cut", + "ze es", + "ĠLy ons", + "ĠDH CP", + "Miss ing", + "Ġretire es", + "Ġins idious", + "el i", + "> )", + ". ãĢį", + "Ġfinal ists", + "ĠA ure", + "Ġacc user", + "Ġwas tes", + "ĠY s", + "ĠL ori", + "Ġconstitu encies", + "Ġsupp er", + "Ġmay hem", + "or ange", + "Ġmis placed", + "Ġmanager ial", + "Ġex ce", + "ĠCL I", + "Ġprim al", + "ĠL ent", + "Cry stal", + "h over", + "ĠN TS", + "end um", + "Ġd w", + "ĠAl c", + "n ostic", + "Ġpres erves", + "ĠTs arnaev", + "Ġtri pled", + "rel ative", + "Arc ade", + "k illing", + "ĠW EEK", + "ĠH anna", + "D ust", + "Com pleted", + "ģ «", + "Ġappro ves", + "ĠSur f", + "ĠLuther an", + "ven ants", + "Ġrobber ies", + "we ights", + "soft ware", + "at ana", + "ug al", + "Ġgrav y", + "ĠC ance", + "OLOG Y", + "ly ak", + "Ton ight", + "Ġunve il", + "Ġ19 04", + "ĠMin ion", + "ent ious", + "st ice", + "pack ages", + "ĠG EAR", + "Ġg ol", + "ĠHutch inson", + "ĠProf ession", + "ĠG UN", + "ĠDiff erence", + "ĠTsuk uyomi", + "ĠLes bian", + "6 70", + "Ġfug itive", + "ĠPlan etary", + "-------------------------------- ------------------------", + "Ġacc rued", + "Ġch icks", + "Ġsto pp", + "Ġblock ers", + "C od", + "Ġcomment ers", + "ĠSomew here", + "ĠPhot ographer", + "the me", + "Ġmay oral", + "w u", + "Ġanten nas", + "Ġrev amped", + "ĠSubject s", + "it é", + "im ura", + "Ġentr ances", + "liter ally", + "Ġten ets", + "ĠO MG", + "ĠMP H", + "ĠDon key", + "ĠOff ense", + "Ġ\" +", + "Sn ap", + "ĠAF B", + "Ġan imate", + "ĠS od", + "His panic", + "Ġinconsist ency", + "D b", + "F Y", + "Ex port", + "Ġa pe", + "Ġpear l", + "ib el", + "ĠPAC s", + "Ġ{ \\", + "Ġact u", + "ĠHS BC", + "camp us", + "Ġpay off", + "Ġde ities", + "ĠN ato", + "ou ple", + "Ġcens ored", + "ĠCl ojure", + "Ġconf ounding", + "en i", + "Ġreck on", + "op he", + "Ġspot ting", + "Ġsign ifies", + "Ġprop el", + "Ġfest ive", + "S uggest", + "Ġpled ging", + "ĠB erman", + "Ġrebell ious", + "Ġovershadow ed", + "Ġinfiltr ated", + "j obs", + "67 2", + "Ġscal able", + "Ġdomin ion", + "ĠNew foundland", + "ĠMead ow", + "Ġpart itions", + "AM I", + "Ġsupplement ary", + "str ument", + "Ġhair y", + "Ġperpet uate", + "Ġnuts hell", + "ĠPot ato", + "ĠHob bit", + "Ġcur ses", + "Flo at", + "Ġquiet er", + "Ġfuel ing", + "Ġcaps ules", + "ĠL ust", + "ĠH aunted", + "Exec utive", + "Ġchild birth", + "G re", + "Ġrad iant", + "å İ", + "Ġm alls", + "Ġin ept", + "ĠWarrant y", + "Ġspect ator", + "E h", + "t hens", + "Ġculmin ating", + "æ ©", + "ary a", + "ãĤ ®", + "ilit arian", + "ĠOR IG", + "ĠSp ending", + "pt ives", + "ĠS iren", + "ĠRec ording", + "ay ne", + "Ġv im", + "Ġspr ang", + "T ang", + "ĠM FT", + "mor ning", + "ĠWe ed", + "m peg", + "cess ion", + "ĠCh ung", + "7 30", + "w arning", + "56 2", + "handed ly", + "P oor", + "P olitics", + ": #", + "Ġp ian", + "Ġfec es", + "ĠDocument ation", + "Ġban ished", + "Ġ3 99", + "ĠAR C", + "Ġhe inous", + "J ake", + "ĠAm ir", + "way ne", + "v re", + "os henko", + "Ġnotebook s", + "Ġfound ational", + "Ġmarvel ous", + "ixt ape", + "Ġwithdraw als", + "Ġh orde", + "ĠD habi", + "is able", + "ĠK D", + "Ġcontag ious", + "ĠD ip", + "ĠAr rows", + "Ġpronoun s", + "Ġmorph ine", + "ĠB US", + "68 2", + "Ġk osher", + "fin ished", + "ĠInstr uments", + "Ġf used", + "yd en", + "ĠSal mon", + "F ab", + "aff ected", + "K EN", + "C ENT", + "Dom ain", + "Ġpoke mon", + "ĠDr inking", + "G rowing", + "ĠInvestig ative", + "ĠA ether", + "em i", + "Ġtabl oid", + "Ġrep ro", + "ĠNot withstanding", + "ĠBers erker", + "Ġdram as", + "Ġclich é", + "Ġb ung", + "ĠU RI", + "ĠD os", + "0 44", + "Ġpast ors", + "Ġl s", + "Ġac rylic", + "aun ts", + "Ed ward", + "Ġmajor ities", + "B ang", + "Ġfield ing", + "ĠRepl acement", + "ĠAl chemy", + "pp ard", + "ĠRome o", + "ĠSan ct", + "ĠLav rov", + "ib ble", + "Inst ruct", + "Ġimp ractical", + "ĠPlay boy", + "ce phal", + "Ġsw aps", + "Ġk an", + "ĠThe o", + "Ġillust rating", + "Ġdismant led", + "ĠTrans gender", + "ĠG uth", + "UG H", + "Ġtriumph ant", + "Ġencomp ass", + "Ġbook mark", + "udd in", + "j er", + "Ġpred icate", + "ES H", + "Ġwhen ce", + "ĠAB E", + "Ġnon profits", + "Se qu", + "Ġdi abetic", + "Ġp end", + "Ġheart felt", + "sh i", + "Ġinter acts", + "ĠTele com", + "Ġbombard ment", + "dep ending", + "ĠLow ry", + "ĠAd mission", + "ĠBl ooming", + "ust ration", + "ene gger", + "B rew", + "Ġmol ten", + "ĠNer d", + "P IN", + "âĸ Ģ", + "ave ment", + "Ġtou red", + "Ġco efficients", + "ĠTray von", + "ans son", + "Ġsand y", + "t old", + "fl ows", + "Ġpop ulous", + "ĠT inder", + "ĠBl iss", + "R achel", + "Min imum", + "Ġcontest ant", + "ĠRed uce", + "ĠMor se", + "ĠGrass ley", + "ĠClick er", + "Ġexp r", + "Ġs incerity", + "Ġmar qu", + "Ġelic it", + "ĠPro position", + "ĠDemon ic", + "Ġtac os", + "G reek", + "Ġpost war", + "Ġin sofar", + "ĠP ork", + "Ġ35 2", + "doctor al", + "walk ing", + "Ġmid term", + "ĠSam my", + "sight ed", + "ĠTR ANS", + "ic i", + "AL D", + "ĠUS L", + "ĠF ISA", + "ĠAm pl", + "ĠAlex andra", + "ine lli", + "Tr ain", + "Ġsign ify", + "ĠVers us", + "Ġob fusc", + "Ġk h", + "Ġagg ro", + "ĠRen ault", + "Ġ3 48", + "5 18", + "ox icity", + "0 22", + "ĠTw ist", + "Ġgoof y", + "D ynamic", + "Ġbrief ings", + "m ight", + "8 99", + "Ġderog atory", + "T ro", + "Ġfor ging", + "ĠKor an", + "ĠMar ried", + "ĠBuc s", + "Ġpal ate", + "ĠCon version", + "m able", + "4 13", + "Ġ( _", + "Ġs iph", + "ĠN EO", + "col lege", + "Ġmarg inally", + "Ġfl irt", + "ĠTra ps", + "ĠP ace", + "é »Ĵ", + "Ġgoalt ender", + "Ġforb ids", + "Ġcler ks", + "ĠT ant", + "ĠRobb ins", + "ĠPrint ing", + "Ġpremie red", + "Ġmagn ification", + "ĠT G", + "ĠR ouse", + "ĠM ock", + "odynam ics", + "Ġpre clude", + "ism o", + "ĠPul itzer", + "Ġaval anche", + "ĠK odi", + "rib une", + "ĠL ena", + "Elect ric", + "Ġref inery", + "Ġend owed", + "Ġcounsel ors", + "Ġd olphin", + "ĠM ith", + "Ġarm oured", + "hib ited", + "Beg in", + "ĠP W", + "O il", + "ĠV or", + "ĠShar if", + "ĠFraz ier", + "est ate", + "Ġj ams", + "Pro xy", + "Ġband its", + "ĠPresbyter ian", + "ĠPrem iere", + "t iny", + "ĠCru el", + "Test ing", + "Ġhom er", + "ĠV ERS", + "ĠPro l", + "ĠDep osit", + "ĠCoff in", + "Ġsemin ars", + "Ġs ql", + "ĠDef endants", + "Altern atively", + "ĠR ats", + "ç «", + "ethy st", + "' >", + "Ġiss uer", + "58 9", + "Ġch aired", + "ĠAccess ories", + "man ent", + "Ġmar row", + "ĠPrim ordial", + "C N", + "Ġlimit less", + "ĠCarn age", + "Ġund rafted", + "q v", + "IN ESS", + "on ew", + "Ġco hesion", + "98 7", + "Ġne cks", + "Ġfootball er", + "ĠG ER", + "Ġdetect able", + "ĠSupport ing", + "ĠCS V", + "oc ally", + "k Hz", + "Ġund e", + "Ġsh one", + "Ġbud ding", + "tra k", + "Stand ing", + "ĠStar craft", + "ĠKem p", + "Ben ch", + "Ġthw arted", + "ĠGround s", + "ath i", + "L isa", + "Dial og", + "ĠS X", + "V ision", + "Ġingen ious", + "Ù IJ", + "Ġfost ering", + "ĠZ a", + "ĠIn gram", + "Ġ\" @", + "N aturally", + "6 16", + "0 35", + "ĠF AC", + "H mm", + "55 4", + "Ġacceler ator", + "ĠV end", + "Ġsun screen", + "Ġtuber culosis", + "rav iolet", + "ĠFunction al", + "ĠEr rors", + "ed ar", + "19 66", + "ĠSpect re", + "ĠRec ipes", + "88 5", + "ĠM ankind", + "L iverpool", + "Ġ| --", + "Ġsubst itutes", + "ĠX T", + "w ired", + "Ġinc o", + "ĠAf gh", + "E va", + "ic c", + "S ong", + "K night", + "Ġdilig ently", + "ĠBroad cast", + "A id", + "Ġaf ar", + "ĠH MS", + "aton in", + "ĠGr ateful", + "Ġfire place", + "ĠOm ni", + "e uro", + "ĠF RE", + "ĠSh ib", + "ĠDig est", + "t oggle", + "Ġheads ets", + "Ġdiff usion", + "ĠSqu irrel", + "ĠF N", + "Ġdark ened", + "out her", + "Ġsleep s", + "ĠX er", + "gun s", + "Ġset ups", + "Ġpars ed", + "Ġmamm oth", + "ĠCur ious", + "g ob", + "ĠFitz patrick", + "ĠEm il", + "im ov", + "........ .....", + "ĠB enny", + "Second ly", + "Ġheart y", + "Ġcons on", + "st ained", + "Ġgal actic", + "cl ave", + "Ġplummet ed", + "Ġp ests", + "Ġsw at", + "Ġrefer rals", + "ĠLion el", + "h oly", + "Ġunder dog", + "ĠSl ater", + "ĠProv ide", + "ĠAm ar", + "ress or", + "å Į", + "ong a", + "Ġtim id", + "Ġp iety", + "ĠD ek", + "Ġsur ging", + "az o", + "Ġ6 10", + "Ġdes ks", + "ĠSp okane", + "ĠAn field", + "Ġwars hips", + "ĠCob ra", + "Ġar ming", + "clus ively", + "ĠBad ge", + "ag ascar", + "ĠPR ESS", + "ĠMcK enzie", + "ĠFer dinand", + "burn ing", + "Af ee", + "Ġtyr ann", + "ĠI w", + "ĠBo one", + "100 7", + "ĠRe pt", + "Ċ Âł", + "Ġcar avan", + "ĠD ill", + "ĠBundes liga", + "Ch uck", + "Ġheal er", + "ãĥ¼ãĥ Ĩ", + "ĠH obby", + "Ġneg ate", + "Ġcrit iques", + "section al", + "mop olitan", + "Ġd x", + "Ġouts ourcing", + "ĠC ipher", + "t ap", + "Sh arp", + "Ġup beat", + "Ġhang ar", + "Ġcru ising", + "ĠNi agara", + "Ġ3 42", + "ill us", + "ĠS v", + "Ġsubt itles", + "Ġsqu ared", + "Ġbook store", + "Ġrevolution aries", + "ĠCarl ton", + "ab al", + "Ut ah", + "Ġdesp ise", + "ĠU M", + "cons ider", + "aid o", + "Ġc arts", + "ĠT urtles", + "Tr aining", + "Ġhonor ary", + " ¢", + "Ġtri angles", + "4 22", + "Ġreprint ed", + "Ġgrace ful", + "ĠMong olia", + "Ġdisrupt ions", + "ĠB oh", + "Ġ3 49", + "Ġdr ains", + "Ġcons ulate", + "Ġb ends", + "Ġm afia", + "ur on", + "ĠF ulton", + "m isc", + "Ġren al", + "Ġin action", + "ck ing", + "Ġphot ons", + "Ġbru ised", + "ĠC odes", + "og i", + "Ġn ests", + "ĠLove ly", + "ĠLib re", + "ĠD aryl", + "Ġ# ##", + "S ys", + ". ,\"", + "Ġfree zes", + "est ablishment", + "and owski", + "Ġcum bers", + "ĠSt arg", + "ĠBom bs", + "Ġleg ions", + "Ġhand writing", + "Ġgr un", + "ĠC ah", + "sequ ent", + "Ġm oth", + "ĠMS M", + "Ins ert", + "F if", + "Ġmot el", + "Ġdex ter", + "ĠB ild", + "hearted ly", + "Ġpro pe", + "ĠText ure", + "ĠJ unction", + "ynt hesis", + "oc ard", + "ĠVer a", + "ĠBar th", + "Ġμ g", + "Ġl ashed", + "Ġ35 1", + "ĠZ amb", + "ĠSt aples", + "ĠCort ex", + "ĠCork er", + "Ġcontinu um", + "ĠWR ITE", + "unt a", + "rid or", + "Ġde ems", + "0 33", + "ĠG OLD", + "p as", + "Ġrep ressive", + "ãĥĨ ãĤ£", + "Ġbaff led", + "Sc ar", + "Ġc rave", + "Ġ ______", + "Ġentrepreneurs hip", + "ĠDirector ate", + "Ġ' [", + "Ġv ines", + "Ġasc ended", + "ĠGR OUP", + "ĠGood bye", + "Ġdo gged", + "ãĥ´ ãĤ¡", + "Man ufact", + "Ġunimagin able", + "ri ots", + "ier rez", + "Ġrel ativity", + "ĠCraft ing", + "ra ught", + "ud en", + "c ookie", + "Ġassass ins", + "Ġdissatisf ied", + "ac ci", + "Ġcondu it", + "Sp read", + "ĠR ican", + "n ice", + "izz le", + "Ġsc ares", + "ĠWH Y", + "ph ans", + "5 35", + "Ġprot racted", + "ĠKrist en", + "5 36", + "ĠSc rib", + "ĠNe h", + "Ġtwent ies", + "Ġpredic ament", + "Ġhandc uffs", + "Ġfruit ful", + "ĠU L", + "ĠLud wig", + "Ġatt est", + "ĠBre aker", + "Ġbi ologically", + "ĠDeal er", + "Ġrenov ations", + "f w", + "ess en", + "Al ice", + "ĠHen ri", + "Ġun ilaterally", + "ĠS idd", + "h ai", + "ĠSt retch", + "S ales", + "Ġcumbers ome", + "ĠJ avier", + "Ġtrend y", + "Ġrot ting", + "ĠChall enges", + "Ġscra ps", + "Ġfac ets", + "ĠVer onica", + "ĠVer ge", + "ĠS ana", + "Al ien", + "ĠR ih", + "Ġrad ial", + "ect ar", + "Ġ6 30", + "cl i", + "Mar ie", + "Ġwild fire", + "ĠCat o", + "h ander", + "Ġwait ress", + "Ġch ops", + "ĠS ECTION", + "Ġblunt ly", + "ĠCat alog", + "n ian", + "stud y", + "Ġpat rolling", + "ĠT enth", + "nex us", + "ĠN ON", + "op sy", + "Ġsc athing", + "s ie", + "Ġdeterior ated", + "V B", + "Naz is", + "Ġdep ictions", + "Ġauthent icated", + "ĠCon ce", + "k rit", + "Ġpromul g", + "ĠL ONG", + "U FC", + "ĠVis itors", + "ĠRec all", + "Ġrehab ilit", + "ĠSL I", + "Ġglac ier", + "ĠB ite", + "Ġ50 3", + "Ġvom it", + "Ġfer mented", + "ĠKh alid", + "Ġgrad ed", + "ĠMag icka", + "ĠIch igo", + "power ful", + "ic ators", + "75 3", + "Ġsh rew", + "Ġ35 6", + "Ġlegal izing", + "Ġall otted", + "ĠArch demon", + "ith ing", + "igg urat", + "V OL", + "Le od", + "Ġo ily", + "Ġindu cing", + "Ġamy gdala", + "Ġadm ins", + "ĠAcqu isition", + "C AN", + "Ġsche matic", + "Ġmo an", + "ĠCamer oon", + "Ġt ink", + "Ġmer ry", + "Ġbutter flies", + "ĠGo ff", + "Ġworks pace", + "ĠCor ona", + "Ġj avascript", + "ĠD olphin", + "ĠCant or", + "4 64", + "to e", + "AP S", + "ĠAg ing", + "Ġpadd ed", + "ĠZ heng", + "ĠHe ld", + "Ġest ranged", + "Ġ7 70", + ". }", + "ĠDun ham", + "Ġsm okes", + "Ġcap itals", + "und ai", + "Sh in", + "ĠFound ing", + "Ġent itle", + "Ġcenter piece", + "D iscover", + "Ġthere to", + "al ert", + "ĠN ou", + "ĠAnaly st", + "l c", + "F H", + "FI ELD", + "ĠP OV", + "gr ay", + "Ġar cs", + "ĠH OT", + "Ġr s", + "Ġoblig atory", + "ĠArchitect s", + "ĠS ven", + "ĠF EC", + "0 200", + "Christ mas", + "ĠAlban ia", + "rat om", + "58 7", + "Ġhard ships", + "Ġaut os", + "ĠCharg es", + "Ġap es", + "Ġ3 76", + "wal let", + "Ġintox ication", + "Ġgobl in", + "Ġ5 70", + "++++++++ ++++++++", + "ĠYel p", + "ĠMag netic", + "ĠBr iggs", + "R ail", + "Ġspawn s", + "ĠW iggins", + "Ġshowc ased", + "Ġres orted", + "ub en", + "Ġwh ipping", + "Ġim itate", + "Ġdigest ion", + "ĠUS PS", + "ĠG est", + "Ġye a", + "ĠT ight", + "ind al", + "ic as", + "` .", + "C AST", + "'' ;", + "ĠF et", + "opath ic", + "In valid", + "Ġregrett ed", + "Ġbro ccoli", + "ĠSc ores", + "e ve", + "Ġpost ings", + "Ġaccum ulating", + "Ġneed less", + "elf th", + "Ġmay ors", + "Ġsc rib", + "Ġanecd otes", + "Ġbot ched", + "ĠRib bon", + "ĠConstant ine", + "i uses", + "ess es", + "Ġdev ise", + "Comp ared", + "Ġp udding", + "Ġg arg", + "Ġev oke", + "79 7", + "Ġdet ox", + "9 09", + "ĠPie ces", + "ĠMcC artney", + "Ġmet ast", + "ĠK rypt", + "P OR", + "Ġt ending", + "ĠMerch ants", + "Pro of", + "ĠV arg", + "ĠPort able", + "ãĥ¼ãĥĨ ãĤ£", + "B rain", + "25 00", + "Ġfol iage", + "Ø ¹", + "Ġment ors", + "ĠA ires", + "Ġminimal ist", + "Ġing ested", + "ĠTro jan", + "ĠQ ian", + "inv olved", + "0 27", + "Ġer oded", + "RA FT", + "Ġbl urry", + "M ob", + "Ġbuff et", + "ĠFn atic", + "ae a", + "KN OWN", + "ĠIn it", + "s afety", + "en um", + "ACT ION", + "ĠCrus her", + "ĠD ates", + "Ġ ................", + "c alling", + "ak ov", + "Ġvent ured", + "Ġ5 55", + "au ga", + "H art", + "ĠA ero", + "M AC", + "Ġthin ly", + "Ġar ra", + "ST ATE", + "ild e", + "ĠJac qu", + "ĠFem ales", + "Ġthe orem", + "Ġ3 46", + "Ġsmart est", + "ĠPU BLIC", + "ĠK ron", + "ĠB its", + "ĠV essel", + "ĠTele phone", + "Ġdec ap", + "Ġadj unct", + "ĠS EN", + "mer ga", + "Ġred acted", + "Ġpre historic", + "Ġexplan atory", + "ĠRun s", + "ĠUtt ar", + "ĠM anny", + "ĠAUTH OR", + "ĠUnle ashed", + "ĠBow ling", + "be ans", + "79 3", + "Ġunivers es", + "Ġsens it", + "ĠK ung", + "re peat", + "ctr l", + "Ġp aced", + "Ġfull er", + "Cl ock", + "Ġrec omb", + "ĠF aul", + "ĠB unker", + "Ġpool ed", + "Ġan a", + "ĠM outh", + "LL OW", + "hum ane", + "Ġbull do", + "ĠMicha els", + "f am", + "Ġwreck ed", + "Ġport rays", + "ĠWh ale", + "ĠH es", + "Ġguess es", + "ĠBrow se", + "ĠL APD", + "Ġconsequ ential", + "ĠInn ocent", + "ĠD RAG", + "Ġtrans gress", + "ĠO aks", + "Ġtri via", + "ĠRes on", + "ĠA DS", + "-- +", + "ĠT oll", + "Ġgrasp ing", + "ĠTHE M", + "ĠT ags", + "ĠCon clusion", + "Ġpract icable", + "Ġho op", + "Ġunintention ally", + "Ġign ite", + "ĠM ov", + "ur ized", + "le hem", + "Ter min", + "Ġcolour ful", + "ĠLin ear", + "ĠEll ie", + "G y", + "Ġman power", + "Ġj s", + "Ġem oji", + "ĠSHAR ES", + "_ .", + "0000 7", + "Ġsophistic ation", + "Ġunders core", + "Ġpract ise", + "Ġbl ob", + "op ens", + "Uk raine", + "Ke eping", + "Y C", + "J R", + "ult imate", + "Cl aim", + "Ġautom obiles", + "99 3", + "ste el", + "Ġpart ing", + "ĠL ank", + "... ?", + "Ġ38 5", + "Ġremem brance", + "Ġe ased", + "Ġcov ari", + "ĠS ind", + "Effect ive", + "Ġdisse mination", + "ĠMo ose", + "ĠCl apper", + "br ates", + "App ly", + "Ġinv is", + "Ġwors ened", + "âĢĶ -", + "Ġlegisl ator", + "ĠL ol", + "ĠRow e", + "Ġdealers hip", + "um ar", + "id ences", + "Ġinvestig ates", + "Ġc ascade", + "Ġbid der", + "ĠB EN", + "Iron ically", + "Ġpres iding", + "Ġd ing", + "Ġcontrad icted", + "Ġshut s", + "ĠF IX", + "Ġ3 66", + "Dist rict", + "Ġsin ful", + "ĠChar isma", + "o ops", + "Ġtot ality", + "Ġrest itution", + "ĠOpt imus", + "ĠD ah", + "Ġcl ueless", + "urn ed", + "Ġnut rit", + "Ġland owners", + "Ġfl ushed", + "Ġbroad en", + "m ie", + "Ġprint ln", + "Ġn ig", + "ĠCorp us", + "J en", + "Ġprot o", + "ĠWik imedia", + "ĠPal o", + "C OR", + "Ġstory lines", + "Ġevangel icals", + "ĠDar rell", + "Ġrot or", + "ĠH W", + "sk illed", + "ery l", + "Ġbe gg", + "ĠBl umenthal", + "Ġwe aving", + "Ġdown wards", + "ĠJack et", + "ĠANG EL", + "Te chnology", + "Ġes oteric", + "alde hyde", + "Ġfur iously", + "Ġforeign er", + "We ak", + "CH O", + "ĠH ound", + "Exper ience", + "ĠPlay station", + "ĠM IA", + "ĠU ng", + "cl oth", + "ag all", + "Ġcal ming", + "iz ens", + "St ruct", + "ĠW itches", + "ĠCeleb ration", + "Ġ........ ......", + "pt roller", + "ĠTC U", + "Ġb unny", + "ãĥ į", + "ut orial", + "Ġup scale", + "ĠSt a", + "ĠCol ossus", + "Ġchlor ide", + "ĠZ ac", + "ĠRe asons", + "ĠBrook ings", + "ĠWH ITE", + "][ /", + "ĠL ose", + "9 05", + "Ġunders ide", + "ern els", + "Ġv ape", + "do zen", + "upp et", + "ĠST OP", + "mat ical", + "ĠStat ements", + "hed dar", + "P AC", + "Custom er", + "Ġmem os", + "ĠP J", + "end ars", + "ĠLim its", + "l augh", + "Ġstabil ized", + "ĠALE C", + "Y A", + "Up grade", + "al am", + "Ġtechn o", + "Ġan ew", + "fore seen", + "Ġcolleg iate", + "ĠPy ro", + "ĠD ism", + "Ġfront line", + "Ġammon ia", + "I U", + "Qu ite", + "John ny", + "ass in", + "G OP", + "ĠSt yles", + "ĠSovere ign", + "acter ial", + "5 49", + "ĠR IP", + "ĠL ists", + "Ġ3 64", + "ĠRece p", + "s ocket", + "ĠByr d", + "ĠCand le", + "An cient", + "Ġappell ant", + "en forcement", + "ace a", + "ans ki", + "Ġold s", + "88 6", + "Ġsl urs", + "Ġem pires", + "Ġbuck le", + "Ġalien ation", + "ĠAber deen", + "Ġunic orn", + "Ġoverr iding", + "ĠL X", + "pp a", + "Ġdesp ised", + "ĠB ugs", + "ĠB ST", + "S outhern", + "5 33", + "Ġhall mark", + "ĠPost er", + "Ġstem med", + "Ġprincip als", + "ĠT ECH", + "ĠSand wich", + "It aly", + "Ġche esy", + "ĠSet TextColor", + "ĠProt ective", + "ĠC ohn", + "J O", + "apt op", + "Re ason", + "Lead er", + "ĠUnder stand", + "ĠFr idays", + "ĠContin uous", + "Ġcl ipping", + "ĠR ye", + "Ġber th", + "tim er", + "ann is", + "re act", + "Ġbuff alo", + "ĠPar as", + "Ġ6 55", + "Ġpres ided", + "ĠSun rise", + "Ġve ts", + "Ġcl oves", + "ĠMcC ull", + "Stre ngth", + "G AN", + "Ġill iter", + "ĠPric ing", + "l é", + "Ġresist or", + "Ġbr un", + "ĠSuff olk", + "Ñ ĭ", + "ĠL iver", + "Re leased", + "Ġwhat s", + "8 60", + "ĠMe asures", + "Ġden ouncing", + "ĠRy zen", + "Ġsou ven", + "Ġcareg ivers", + "ch ini", + "ĠScar lett", + "Ġt rough", + "Cong ratulations", + "Ġtax is", + "ĠTrad ition", + "j it", + "Ġtable top", + "Ġhither to", + "Ġdis information", + "off ensive", + "h ra", + "ĠDISTR ICT", + "Ġcompl icate", + "chen ko", + "ĠRecon struction", + "Ġpalp able", + "Ġa usp", + "Ġ4 28", + "Ġshowc ases", + "ĠPublic ation", + "know ledge", + "inn on", + "4 19", + "Ġretri eval", + "and ers", + "Ġref ute", + "Ġinqu ired", + "g ur", + "Ġneg ativity", + "Ġcons erve", + "Ġafter life", + "Ġpres upp", + "ĠGill espie", + "Ġm t", + "ĠD N", + "T ap", + "Ġper pend", + "ĠS my", + "does n", + "Ġsp illing", + "Ġhyp ers", + "K ate", + "® ,", + "ke pt", + "ĠP owered", + "Ġj a", + "ĠK lux", + "ard e", + "ab an", + "Ġ4 44", + "Ġflatt ened", + "ĠImprove ments", + "urg a", + "ĠK und", + "Ġins cribed", + "Ġfac ult", + "Ġunpre pared", + "ĠCons umers", + "Ġsatisf ies", + "Ġpul monary", + "Ġinf iltration", + "Ġex ternally", + "Ġcongrat ulations", + "ag han", + "Ġair liner", + "Ġfl ung", + "Ġfly ers", + "G D", + "Ġsnipp ets", + "Ġrec ursive", + "Ġmaster ing", + "L ex", + "Ġovert ly", + "v g", + "Ġluck ily", + "Ġenc ro", + "ĠLanc et", + "ĠAbyss al", + "function al", + "Ġs ow", + "Ġsqu id", + "Ġnar ration", + "Ġn aughty", + "ĠHon our", + "ĠSpart ans", + "Ġsh atter", + "ĠTac oma", + "ĠCal ories", + "ĠR aces", + "Sub mit", + "Ġpurpose fully", + "w av", + "ĠY ok", + "F est", + "ĠG err", + "Met ro", + "Ġit iner", + "f amous", + "Ġ\" {", + "in line", + "was her", + "Iss ue", + "ĠCL IENT", + "oz o", + "Vers ions", + "7 25", + "ĠGl ock", + "Ġshield ed", + "ĠPC R", + "ENC Y", + "ĠWe ld", + "ĠSim pl", + "Ġredirect ed", + "ĠK ham", + "Ġ( >", + "Ġlab ou", + "Ġdi apers", + "ss l", + "Ġcell ar", + "organ isms", + "ore sc", + "ĠBer ks", + "did n", + "Sh ipping", + "C hest", + "Ġund one", + "Ġmillion aire", + "Ġc ords", + "ĠYoung er", + "appropri ately", + "Ġsequ els", + "u ve", + "ant icipated", + "Ġle wd", + "ĠSh irt", + "ĠDmit ry", + "V eter", + "Ġsl aying", + "ĠY ar", + "Ġcompl ication", + "I owa", + "ĠEric a", + "ĠBL M", + "g irlfriend", + "b odied", + "6 26", + "19 63", + "Ġintermedi ary", + "Ġcons olation", + "M ask", + "ĠSi em", + "ow an", + "Beg inning", + "Ġfix me", + "Ġculmin ated", + "Ġcon duc", + "ĠVolunte er", + "Ġpos itional", + "Ġgre ets", + "ĠDefin itions", + "Ġthink er", + "Ġingen uity", + "Ġfresh men", + "ĠMom ents", + "Ġ35 7", + "ate urs", + "ĠFed Ex", + "s g", + "69 4", + "Ġdwind ling", + "ĠBO X", + "sel age", + "Ġt mp", + "Ġst en", + "ĠS ut", + "Ġneighbourhood s", + "Ġclass mate", + "f ledged", + "Ġleft ists", + "Ġclim ates", + "ATH ER", + "ĠScy the", + "ul iffe", + "Ġs ag", + "Ġho pped", + "ĠF t", + "ĠE ck", + "ĠC K", + "ĠDo omsday", + "k ids", + "Ġgas ped", + "Ġmon iker", + "ĠL od", + "ĠC FL", + "t ions", + "r ums", + "fol ios", + "Ġm d", + "Ġunc anny", + "Ġtrans ports", + "ĠLab rador", + "Ġrail ways", + "Ġappl iance", + "ĠCTR L", + "æ Ģ", + "Pop ulation", + "ĠConfeder acy", + "Ġunb earable", + "Ġdors al", + "ĠIn form", + "op ted", + "ĠK ILL", + "Mar x", + "Ġhypoc ritical", + "q us", + "ĠN umerous", + "ĠGeorg ian", + "ĠAmbro se", + "ĠL och", + "Ġgu bernatorial", + "ĠX eon", + "ĠSupp orts", + "ens er", + "ee ly", + "ĠAven ger", + "19 65", + "Ar my", + "Ġju xtap", + "Ġcho pping", + "ĠSpl ash", + "ĠS ustainable", + "ĠFin ch", + "Ġ18 61", + "ict ive", + "at meal", + "ĠG ohan", + "Ġlights aber", + "ĠG PA", + "ug u", + "ĠRE PL", + "vari able", + "Ġher pes", + "Ġdesert s", + "ac iously", + "Ġsitu ational", + "week ly", + "ob l", + "Ġtext ile", + "ĠCorn wall", + "Ġcontrace ptives", + "ĠA ke", + "] -", + "ä¹ ĭ", + ": ,", + "ĠW em", + "ĠB ihar", + "Ġ' .", + "Ġbe re", + "Ġanal ogue", + "ĠCook ies", + "Ġtake off", + "Whe el", + "Ġmaj estic", + "Ġcomm uting", + "0 23", + "ĠCor pse", + "ass ment", + "min i", + "Ġgor illa", + "ĠAl as", + "ere e", + "Ġacquaint ances", + "ĠAd vantage", + "Ġspirit ually", + "Ġey ed", + "pm wiki", + "ĠE nder", + "Ġtrans lucent", + "Ġnight time", + "ĠIM AGES", + "5 45", + "ĠK amp", + "ĠFre ak", + "Ġ ig", + "Port land", + "4 32", + "ĠM ata", + "Ġmar ines", + "Ġh ors", + "ater asu", + "ĠAtt ribution", + "Ġ-------- -", + "Ġk ins", + "ĠBEL OW", + "++ +", + "Ġre eling", + "ol ed", + "Ġcl utter", + "ĠRel ative", + "Ġ4 27", + "B US", + "Ġa vert", + "ĠChe ong", + "ĠA ble", + "ĠPry or", + "Develop er", + "Ġen cyclopedia", + "ĠUSA F", + "ĠG arry", + "Sp ain", + "Bl ocks", + "Ġexp osition", + "ĠGamer Gate", + "W OR", + "Ġstockp ile", + "Ġclot hed", + "ĠT one", + "ĠR ue", + "t umblr", + "Ġtreacher ous", + "Ġf rying", + "Ñ Į", + "ĠS ph", + "Ġrest raints", + "Ġemb odies", + "ĠG es", + "S afety", + "Ġnegoti ators", + "min ing", + "ĠAppalach ian", + "L OS", + "ĠJenn a", + "Ġpass ers", + "ç ĭ", + "sn ap", + "Ġshort en", + "creat or", + "Ġinn umerable", + "uther land", + "67 4", + "ĠW OM", + "ĠAs cend", + "ĠArm ory", + "ĠTrans action", + "K ick", + "Ġsuit case", + "day Name", + "Ġwaste ful", + "mar riage", + "ĠMcC abe", + "ite ch", + "ĠO ss", + "Cl osure", + "ĠTreasure r", + "Ġindec ent", + "ĠD ull", + "Ġresid ences", + "19 59", + "ĠS ettlement", + "Ham ilton", + "Ġself ies", + "ĠRank ing", + "ĠBark ley", + "ĠB ore", + "ĠW CS", + "ĠMar itime", + "ĠH uh", + "ĠForest ry", + "Ġcultiv ating", + "ĠBall ard", + "Ġg arrison", + "ĠSD L", + "9 30", + "Ġnas cent", + "Ġirresist ible", + "Ġaw fully", + "\\/ \\/", + "Ġequ ate", + "Ġanthrop ology", + "ĠSylv ia", + "Ġintest ine", + "Ġinnoc uous", + "cess ive", + "ag ra", + "ĠMet roid", + "G rant", + "8 55", + "ģ ĸ", + "Ġ\" _", + "ãĥĥ ãĥī", + "Ġappra isal", + "ĠFred dy", + "04 6", + "Ġ40 6", + "Ġ18 30", + "Ġd ocking", + "St atic", + "Ġp ont", + "ĠVolt age", + "ĠSt ead", + "ĠMort gage", + "ĠJon ah", + "Y L", + "CLASS IFIED", + "Ġas bestos", + "nik ov", + "Ġcoll agen", + "ĠOrb ital", + "P ocket", + "7 99", + "Ġhy brids", + "inc hes", + "Ġinv oice", + "und y", + "Ġinequ alities", + "T rend", + "w ashed", + "B ALL", + "Ġluc id", + "ĠComment ary", + "Ġw itty", + "Br andon", + "Ġbru ising", + "Ġ6 20", + "es cent", + "box ing", + "P OL", + "Ġ3 78", + "R ect", + "Ġlic ences", + "ĠMcG ee", + "p ressed", + "D anny", + "Ġj ammed", + "ord inate", + "Ġle th", + "Ġdistingu ishes", + "ĠYam aha", + "IL S", + "ĠH ume", + "ĠC ategories", + "Rober ts", + "Ch art", + "Ġbeet le", + "ĠGra veyard", + "Ġ($ )", + "o ÄŁ", + "Ġtw ilight", + "are lla", + "á ½", + "Ġbooth s", + "ĠH HS", + "ĠFeld man", + "Ġexcav ation", + "Ġphilosoph ies", + "at ography", + "ĠGar age", + "te chnology", + "Ġunfor gettable", + "Ġver ifying", + "Ġsubord inates", + "E ls", + "Ġne b", + "G aming", + "EN A", + "ĠAchieve ment", + "it ters", + "ĠG abe", + "Ġd umps", + "for cer", + "Ġpo ignant", + "ĠM BA", + "ĠHe idi", + "ime i", + "Ġm ages", + "Ġliber ate", + "Ġcircum cised", + "ĠMer maid", + "ĠMat th", + "t ogether", + "ĠW ichita", + "Ġstore front", + "ĠAd in", + "V II", + "Four th", + "Ġexplore rs", + "W ER", + "Not able", + "Bro ok", + "m ens", + "F aith", + "-------- -", + "ĠJ ou", + "¬ ¼", + "Ġpine apple", + "Ġam alg", + "el n", + "ark able", + "ĠãĤµ ãĥ¼ãĥĨãĤ£", + "ĠãĤµãĥ¼ãĥĨãĤ£ ãĥ¯ãĥ³", + "Ġov arian", + "ĠE choes", + "Ġhairc ut", + "Ġp av", + "Ġch illed", + "anas ia", + "Ġsty led", + "Ġd ab", + "ni per", + "Ġminister ial", + "ĠD UP", + "T an", + "Ġsul ph", + "ĠD eter", + "ĠBo hem", + "od an", + "Ġeduc ator", + "â ĵĺ", + "sp ir", + "Ch icken", + "ĠE leanor", + "Ġqu i", + "Ġheav iest", + "Ġgrasp ed", + "U RA", + "Ġcro oked", + "Jess ica", + "pro blem", + "Ġpred etermined", + "Ġman iac", + "Ġbreath s", + "ĠLauder dale", + "Ġh obbies", + "y z", + "Cr ime", + "Ġcharism a", + "d L", + "Ġle aping", + "Ġk ittens", + "Ang elo", + "ĠJ ACK", + "ĠSu zanne", + "Ġhal ting", + "ENT ION", + "Ġswall owing", + "ĠEarthqu ake", + "Ġeight eenth", + "ĠN IC", + "ĠIN F", + "ĠCons cious", + "Ġparticular s", + "circ le", + "7 40", + "Ġbene volent", + "Ġ7 47", + "Ġ4 90", + "Ġr undown", + "ĠVal erie", + "ĠB UR", + "Ġcivil isation", + "ĠS chn", + "W B", + "ot ide", + "intern ational", + "Ġj ohn", + "Ġ19 02", + "Ġpe anuts", + "Ġflav ored", + "k us", + "Ġro ared", + "Ġcut off", + "é £", + "Ġorn ament", + "Ġarchitect ures", + "Ġ3 69", + "ol or", + "ĠWild e", + "ĠC RC", + "ĠAdjust ed", + "Ġprov oking", + "land ish", + "Ġrational ity", + "Ġjust ifies", + "Ġdisp el", + "Ġa meric", + "ĠPol es", + "Ø ©", + "Ġen vis", + "ĠD oodle", + "ä½ ¿", + "igs aw", + "auld ron", + "Techn ical", + "T een", + "up hem", + "ĠX iang", + "Ġdetract ors", + "ĠZ i", + "ĠJournal ists", + "Ġconduc ive", + "ĠVolunte ers", + "Ġs d", + "Know ing", + "Ġtrans missions", + "ĠPL AN", + "ĠL IB", + "Ġall uded", + "Ġob e", + "Ġd ope", + "ĠGold stein", + "Ġwavelength s", + "ĠDest ination", + "nd a", + "ug i", + "Ġattent ive", + "ĠLe an", + "ral tar", + "Ġman g", + "mb uds", + "ak ings", + "b ender", + "Ġacc ol", + "Ġcraw led", + "N OW", + "Min nesota", + "Ġflour ished", + "ĠZ up", + "ĠSuper visor", + "ĠOliv ier", + "Ex cellent", + "Ġwid en", + "D one", + "Ġw ig", + "Ġmiscon ceptions", + "Cor p", + "W an", + "Ġvener able", + "ĠNot ably", + "ĠKling on", + "an imate", + "Bo ost", + "ĠS AY", + "miss ing", + "ibli ography", + "mel on", + "Ġpay day", + "Ø ³", + "bo le", + "Ġve iled", + "ĠAl phabet", + "It alian", + "Ġever lasting", + "ĠR IS", + "ĠC ree", + "rom pt", + "Ġh ating", + "Ġgrin ning", + "Ġge ographically", + "OS H", + "Ġwe eping", + "ĠÂłĠÂłĠÂłĠÂł ĠÂłĠÂłĠÂłĠÂł", + "Ġimpe cc", + "Let ter", + "Ġblo ated", + "PL A", + "ĠFe in", + "Ġper sever", + "Th under", + "Ġa ur", + "ĠR L", + "Ġpit falls", + "âĸ º", + "Ġpredomin ant", + "Ġ5 25", + "7 18", + "AP E", + "7 14", + "Ġfarm land", + "ĠQ iao", + "Ġv iolet", + "ĠBah amas", + "Ġinflic ting", + "ĠE fficiency", + "Ġhome brew", + "Ġundert ook", + "Ġcur ly", + "ĠHard ing", + "man ia", + "59 6", + "Ġtem pered", + "Ġhar rowing", + "ĠP ledge", + "ĠFranken stein", + "è ª", + "M otion", + "Ġpredict ably", + "ĠExpl osion", + "oc using", + "er d", + "col o", + "FF ER", + "Ġback field", + "ĠV IDE", + "ue bl", + "N arr", + "ĠArg ument", + "Ġgen omic", + "Ġbout ique", + "Ġbatt ed", + "ĠB inary", + "Ġg amb", + "ĠRh ythm", + "67 3", + "Ġa float", + "ĠOlymp ia", + "Y ING", + "Ġend if", + "is in", + "Ġwin ters", + "Ġsc attering", + "I v", + "D istance", + "Ġtr u", + "ĠCom fort", + "Ġne xus", + "Ġair flow", + "ĠByz antine", + "p ayers", + "con i", + "ĠB etsy", + "D eal", + "ĠN ug", + "ĠContin ent", + "red ibly", + "Ġoptim izing", + "al beit", + "Ġec static", + "ĠPro to", + "ç ·", + "iv ot", + "âĸ Ħ", + "em p", + "rou nder", + "Ġcl out", + "ĠI ST", + "66 3", + "ĠDoll ars", + "ĠD AC", + "Ġsubsc ribed", + "Ġrehears al", + "Ġam ps", + "ĠSh ang", + "es m", + "Ġspr inkle", + "Ġassail ant", + "ĠO o", + "ĠCoin base", + "T act", + "Ġret ina", + "Ġn uns", + "R ON", + "att o", + "Ġj ug", + "ĠSV G", + "Ġb ikini", + "ĠFI LE", + "ĠFound ers", + "ep ort", + "ĠK P", + "Ġrest ores", + "ĠTh ick", + "Ġash ore", + "Ġappro vals", + "R ender", + "M AG", + "G raham", + "ĠCort ana", + "ãĥ³ ãĤ¸", + "ss h", + "or ians", + "ars ity", + "ĠInsp ired", + "u pper", + "Ġsign alling", + "Ġreb uke", + "Ġfl ares", + "Ġdownt ime", + "Stud ies", + "Ġstagn ation", + "ĠSequ ence", + "Ġgr unt", + "Ġass ures", + "ĠPL A", + "59 2", + "Ġintra ven", + "d epend", + "Sus an", + "ĠManz iel", + "Man ia", + "Cont ract", + "Ġsl ams", + "Ġcult ured", + "Ġcred itor", + "L IST", + "ĠH UM", + "ĠChatt anooga", + "serv ed", + "Ġclo aked", + "ĠF TP", + "p owder", + "ĠSt ella", + "uct ive", + "Ġcheap ly", + "ĠMU CH", + "ĠGalile o", + "Ġsu ites", + "spe ech", + "Ġdeliber ations", + "ĠCh ips", + "« ĺ", + "Bal ance", + "ĠWyn ne", + "ĠAk ron", + "Ass et", + "Ġhon oured", + "Ġed ged", + "Like wise", + "anim ous", + "ĠW age", + "ĠEz ek", + "ad vertisement", + "ĠRT X", + "ĠM AD", + "Ġmigr ating", + "ĠS QU", + "Ġ4 75", + "Ed ited", + "Ġshorth and", + "ĠBas ics", + "Ġcro tch", + "ĠEV EN", + "Ġv m", + "effic iency", + "Ġcal ves", + "ĠF rie", + "ĠBrill iant", + "Ġstri kers", + "Ġrepent ance", + "Ġarter ies", + "r l", + "B ed", + "h ap", + "Ġcrypt ography", + "ĠSab res", + "Ġ4 14", + "vi ks", + "ih ara", + "aps es", + "T alking", + "Ġintertw ined", + "Ġdoc ks", + "Ġalle le", + "ĠArt ifact", + "ĠH IM", + "t orn", + "ç ķ", + "Ġop acity", + "ĠE ly", + "os uke", + "Ġn ipple", + "Ġhand written", + "ĠV K", + "ĠChamber lain", + "ĠLa os", + "ig raph", + "g row", + "Ġtr illions", + "Ġdescend ant", + "ĠSail or", + "as uring", + "Ġce ilings", + "ĠWare house", + "f lying", + "ĠGl ow", + "Ġn ont", + "Ġmiscar riage", + "Ġrig s", + "Ġmin istries", + "Ġelabor ated", + "Ġdel usional", + "ĠHum ane", + "Ġ3 79", + "n ets", + "Ġblack out", + "add ers", + "Ġn p", + "ĠT ire", + "ro sc", + "Ġsub div", + "Ġlink age", + "Ġchron ological", + "ĠHER O", + "Ġres ettlement", + "ĠVin yl", + "Ġpast oral", + "ĠMob il", + "ĠBar bar", + "Co oldown", + "ĠF ritz", + "c riminal", + "re pe", + "Ġbell ig", + "ĠBre ed", + "Ġ4 18", + "Ġsem blance", + "ij k", + "Ġcur tail", + "Ġclin ch", + "cont ained", + "ĠProm pt", + "ast on", + "Ġw i", + "Ġpursu its", + "5 15", + "ĠGl oss", + "Ġfl ips", + "Ġcoup ons", + "Ġcl oning", + "ĠLike ly", + "Rem oved", + "ĠQu artz", + "r ices", + "ĠSpe ars", + "Ġp ious", + "Ġdep reciation", + "ĠD are", + "oun ces", + "am az", + "O nt", + "Ġp innacle", + "d ocker", + "0 26", + "ĠW yr", + "ĠPro per", + "Ë Ī", + "n il", + "By tes", + "Ġseek er", + "t rial", + "Ġunf olds", + "ĠMar se", + "Ġextravag ant", + "ĠSurviv ors", + "RED ACTED", + "ĠSpeed way", + "ĠCra igslist", + "sub mit", + "ĠGener ations", + "Ġup holding", + "Ġblood stream", + "ĠMiss ions", + "ĠL awn", + "Ġlim bo", + "ene i", + "H uh", + "ĠWild cats", + "pre p", + "ĠMark us", + "ĠFor bidden", + "rit ic", + "IN O", + "Ġexhib iting", + "requ ent", + "ch uk", + "Ġhabit ual", + "ĠComp atibility", + "Dr ag", + "RIP T", + "uj ah", + "GR OUND", + "Ġdelinqu ent", + "Ġburn er", + "Ġcontempor aries", + "Ġgimm ick", + "load s", + "Ġno zzle", + "p odcast", + "ĠW ak", + "ĠStat en", + "ĠK uh", + "ãģ ĵ", + "inter rupted", + "Ġinv incible", + "ĠBurn ett", + "cig arette", + "ĠPeb ble", + "ĠTem porary", + "ĠMar ino", + "58 2", + "Ġwast eland", + "ident ly", + "T x", + "Ġr ite", + "ĠPan asonic", + "ĠM iddles", + "ĠHort on", + "ae us", + "Ġc uring", + "Ġm ats", + "Ġadj ourn", + "Ġfears ome", + "pe z", + "bo ats", + "Ġpro pell", + "Ġconflic ted", + "ĠAng er", + "Ġinsurg ent", + "K arl", + "Ġco ales", + "Ġsouth western", + "Ġdis su", + "ĠO vert", + "******** ****", + "Ġbox ed", + "ĠBr une", + "aa a", + "Ġgard ening", + "ĠEng el", + "tr acks", + "Ġpur ified", + "Ġplace holder", + "ĠL ikes", + "Ġd an", + "G ab", + "Ġe ct", + "ĠF aw", + "ĠEl iot", + "Ġ' ,", + "otrop ic", + "ĠRu in", + "hed on", + "Ġca ul", + "Ġa ft", + "ĠCad illac", + "gh a", + "ass ian", + "ud eb", + "ĠT ick", + "Ġadjust s", + "AR GET", + "5 37", + "isc he", + "ant y", + "ĠFried rich", + "ĠBl izz", + "ĠA OL", + "Camp aign", + "Ġmamm al", + "ĠVe il", + "ĠK ev", + "ĠMaur it", + "ĠDam ien", + "N ation", + "E astern", + "Ġ{ :", + "Ġ= ================================", + "Ġstereotyp ical", + "Ġatt ic", + "ĠCy borg", + "requ ire", + "Ġaward ing", + "ĠPap ua", + "bt n", + "b ent", + "B oo", + "Ġ( =", + "ĠX ander", + "ĠSomers et", + "Ġcatch y", + "Ġcert ify", + "STR UCT", + "Ġit al", + "Ġt ides", + "ĠBr ands", + "G ray", + "comp etitive", + "Ġcur ator", + "ĠD G", + "omin ium", + "ĠGM Os", + "ci ating", + "ĠCarm en", + "ow ard", + "Balt imore", + "Ġr gb", + "C u", + "Ġwip es", + "spe ll", + "IT NESS", + "Ġsummar izes", + "ĠRe vis", + "Ġwhistlebl owers", + "ĠBre ach", + "Ġcro chet", + "k os", + "ews ki", + "Ġrep et", + "Ġcrim son", + "ĠKar achi", + "read able", + "dim ension", + "ĠI gor", + "ild ed", + "ĠZ ed", + "ĠKe ane", + "ĠCos metic", + "DE P", + "Ġretreat ing", + "ĠU A", + "ens ical", + "Ġd usk", + "ĠDick ens", + "Ġaren as", + "ĠPass age", + "level s", + "Ġcur v", + "P ope", + "Ġch ores", + "ĠEl ise", + "ĠComp ass", + "b ub", + "Ġmamm alian", + "ĠSans krit", + "ĠAN C", + "ĠCr ack", + "Q ual", + "L aun", + "amp unk", + "Ġlearn ers", + "Ġglam orous", + "Ġfur the", + "erm ott", + "c and", + "Gener ic", + "Ġnarr ated", + "Ġdisorder ly", + "ĠTrans actions", + "ĠDet ention", + "ĠR oku", + "Ä į", + "Ġunder statement", + "ĠS aur", + "ĠRodrig o", + "ĠAS AP", + "S in", + "Ġre joice", + "Method s", + "Ġelectro de", + "Ġworsh ipped", + "Ġid i", + "ĠPhys icians", + "Ġpop up", + "Ġde ft", + "ĠRem oval", + "ĠBu enos", + "ver bs", + "Ġfun k", + "ush a", + "rict ion", + "ore a", + "ĠBang alore", + "ĠKen obi", + "zz i", + "Ġnorm ative", + "Ġgobl ins", + "Ġcaf es", + "ĠUN CLASSIFIED", + "ĠF ired", + "S IGN", + "Ġs clerosis", + "ĠV oter", + "ĠSon ny", + "ĠExt end", + "ĠEV s", + "Ar senal", + "Ġp si", + "Ġwid est", + "ĠT us", + "Ġlo oms", + "Ġjust ifying", + "ĠGr anger", + "è ¯", + "Ref er", + "58 3", + "Ġflour ishing", + "ab re", + "Ġr ave", + "ĠCont ra", + "Ġ18 98", + "Add s", + "Ġf ul", + "ĠCo oke", + "some one", + "= #", + "67 1", + "Ġy ak", + "Ġar te", + "ĠMis cellaneous", + "ĠDet ection", + "ĠCl ancy", + "â ģ", + "ass ies", + "Ġval iant", + "ĠFemin ist", + "cor ruption", + "V el", + "P ear", + "Ġsucc inct", + "Ġquick est", + "k w", + "Ġsp itting", + "ĠL ibraries", + "åħ ī", + "ant z", + "D ad", + "ĠSpec ifications", + "rup ulous", + "and r", + "RES ULTS", + "Ġsnow ball", + "Ġpred is", + "ĠB axter", + "ĠNurs ing", + "ĠCh aff", + "s we", + "Ġout age", + "Ġnest ing", + "Ġnotor iety", + "tr igger", + "on ite", + "j on", + "Ġf ou", + "ook ed", + "ĠCelebr ity", + "re ality", + "Ġfat ig", + "Ġhug ging", + "Ġbother s", + "ĠPan zer", + "ĠCh andra", + "fig ured", + "Ġvol ts", + "ĠCloud s", + "Ġfee ble", + "ĠCur ve", + "ĠAs us", + "78 6", + "abs or", + "ĠV ICE", + "ĠH ess", + "Ġmanufact ures", + "Ġgri zz", + "ĠPower ful", + "ac id", + "Ġsub sections", + "ĠKrug man", + "ĠAl ps", + "is u", + "Ġsequ est", + "ĠUlt ron", + "ĠT inker", + "ĠGo ose", + "Ġmism atch", + "Att orney", + "Ġmorph ology", + "ĠSix ers", + "ut tered", + "ĠE LECT", + "gr an", + "Rus sell", + "ĠG SL", + "Ġfort night", + "Ġ. )", + "Ġapost le", + "pr one", + "el ist", + "Unt itled", + "ĠIm plementation", + "ist ors", + "Ġtank er", + "Ġpl ush", + "Ġattend ants", + "ĠT ik", + "ĠGreen wich", + "ĠY on", + "ĠSP L", + "cell s", + "unt led", + "S olution", + "ĠQu é", + "Ġvac ated", + "Ġupt ick", + "ĠMer idian", + "æ ĥ", + "ĠDr ill", + "9 25", + "58 4", + "Ġrenov ated", + "ĠKub rick", + "zy k", + "Ġl ousy", + "pp el", + "ohyd rate", + "ĠI zzy", + "lesi astical", + "CC C", + "ĠAj ax", + "Ġad apters", + "ĠPetra eus", + "Ġaffirm ation", + "ĠST OR", + "le ms", + "ad oes", + "ĠConstantin ople", + "Ġp onies", + "Ġl ighthouse", + "Ġadherent s", + "ĠBre es", + "omorph ic", + "Fight ing", + "Ġpl aster", + "ĠP VC", + "ĠOb st", + "Ġdear ly", + "ĠTo oth", + "icks on", + "Ġsh aming", + "P lex", + "A gg", + "ĠâĢ¦ \"", + "Ġsub reddits", + "Ġpige on", + "ĠResident ial", + "ĠPass ing", + "Ġl um", + "ĠP ension", + "Ġpessim istic", + "Ġ4 32", + "z inski", + "c ade", + "0 75", + "Ġapolog ised", + "iy ah", + "Put ting", + "Ġgloom y", + "ĠLy me", + "=-=-=-=- =-=-=-=-", + "ĠT ome", + "ĠPsych iatric", + "ĠH IT", + "c ms", + "ap olog", + "Ġbreak er", + "Ġdeep en", + "Ġtheor ist", + "ĠHigh lands", + "Ġb aker", + "Ġst aples", + "Ġinterf ered", + "ĠAb ortion", + "jo ined", + "ch u", + "Ġform ulate", + "Ġvacc inations", + "Ġban ter", + "phe us", + "Ġoutfield er", + "ĠM eter", + "Ġ# ####", + "Ġ18 95", + "Ġnarrow ing", + "ĠST ORY", + "f p", + "ĠC ST", + "ign ore", + "Ġproclaim ing", + "ĠR U", + "ĠB ALL", + "yn a", + "65 3", + "Ġpos it", + "P RE", + "59 4", + "ĠRegist rar", + "ĠPil grim", + "ic io", + "Ġpre tt", + "Ġlif eless", + "Ġ__ _", + "Ne igh", + "ĠCh urches", + "orn o", + "Ġor cs", + "Ġkind red", + "ĠAud it", + "Ġmillenn ial", + "ĠPers ia", + "g ravity", + "ĠDis ability", + "ĠD ARK", + "W s", + "od on", + "Ġgrand daughter", + "ĠBro oke", + "ĠA DA", + "ER A", + "Ġpick ups", + "ĠWil kinson", + "ĠSh ards", + "ĠN K", + "Ġexp el", + "ĠKis lyak", + "Ġj argon", + "Ġpolar ized", + "ian e", + "Pub lisher", + "Ġreb utt", + "Ġapprehens ion", + "ĠK essler", + "Ġpr ism", + "F UL", + "19 64", + "ĠL oll", + "ä ¿", + "le thal", + "Å Ł", + "Ġg hetto", + "Ġb oulder", + "ĠSlow ly", + "ĠOsc ars", + "ĠInst ruction", + "ĠUl tr", + "ĠM oe", + "N ich", + "ĠP ATH", + "( *", + "ĠRE LEASE", + "un ing", + "rou se", + "en eg", + "Ġre imb", + "ĠDet ected", + "Do S", + "Ġster ling", + "Ġaggreg ation", + "ĠLone ly", + "ĠAtt end", + "hig her", + "Ġairst rike", + "ks on", + "SE LECT", + "Ġdef lation", + "ĠHer rera", + "C ole", + "rit ch", + "Ġadvis able", + "F ax", + "Ġwork around", + "Ġp id", + "mort em", + "ers en", + "Ġtyp o", + "Ġal um", + "78 2", + "ĠJam al", + "script s", + "Ġcapt ives", + "ĠPres ence", + "ĠLie berman", + "angel o", + "Ġalcohol ism", + "ass i", + "Ġrec ite", + "Ġgap ing", + "Ġbask ets", + "ĠG ou", + "Brow ser", + "ne au", + "Ġcorrect ive", + "und a", + "sc oring", + "ĠX D", + "Ġfil ament", + "Ġdeep ening", + "ĠStain less", + "Int eger", + "Ġbu ggy", + "Ġten ancy", + "ĠMub arak", + "Ġt uple", + "ĠD roid", + "ĠS itting", + "Ġforfe it", + "ĠRasm ussen", + "ixt ies", + "es i", + "ĠKim mel", + "Ġmetic ulously", + "Ġap opt", + "ĠS eller", + "08 8", + "ec ake", + "hem atically", + "T N", + "Ġmind less", + "Ġdig s", + "ĠAcc ord", + "ons ense", + "em ing", + "br ace", + "Ġe Book", + "ĠDist ribut", + "ĠInvest ments", + "w t", + "] ),", + "beh avior", + "56 3", + "Ġbl inding", + "ĠPro testers", + "top ia", + "Ġreb orn", + "ĠKel vin", + "ĠDo ver", + "ĠD airy", + "ĠOut s", + "Ġ[ /", + "Ï Ģ", + "b p", + "ĠVan ity", + "ĠRec ap", + "ĠHOU SE", + "ĠF ACE", + "Ġ4 22", + "69 2", + "ĠAnt ioch", + "cook ed", + "Ġcoll ide", + "Ġa pr", + "Ġsle eper", + "ĠJar vis", + "Ġalternative ly", + "ĠLe aves", + "ĠM aw", + "Ġantiqu ity", + "ĠAdin ida", + "Ġab user", + "Poké mon", + "Ġass orted", + "ĠRev ision", + "ĠP iano", + "ĠG ideon", + "O cean", + "Ġsal on", + "Ġbust ling", + "ogn itive", + "ĠRah man", + "Ġwa iter", + "Ġpres ets", + "ĠO sh", + "ĠG HC", + "oper ator", + "Ġrept iles", + "Ġ4 13", + "ĠG arr", + "ĠCh ak", + "Ġhas hes", + "Ġfail ings", + "Ġfolk lore", + "Ġab l", + "ĠC ena", + "ĠMac Arthur", + "ĠCOUR T", + "Ġperipher y", + "app ers", + "Ġreck oned", + "ĠInf lu", + "ĠC ET", + "Ġ3 72", + "ĠDefin itive", + "ass ault", + "4 21", + "Ġreservoir s", + "Ġd ives", + "ĠCo il", + "DA Q", + "Ġvivid ly", + "ĠR J", + "ĠBel lev", + "Ġec lectic", + "ĠShow down", + "ĠK M", + "ip ed", + "reet ings", + "ĠAs uka", + "L iberal", + "ĠÏ Ħ", + "Ġbystand ers", + "ĠGood win", + "uk ong", + "S it", + "ĠT rem", + "Ġcrim inally", + "ĠCirc us", + "ch rome", + "88 7", + "Ġnan op", + "ĠOb i", + "ĠL OW", + "o gh", + "ĠAuth ors", + "ob yl", + "Ur ban", + "Ġt i", + "ĠWe ir", + "t rap", + "ag y", + "Ġparent heses", + "Ġout numbered", + "Ġcounter productive", + "ĠTob ias", + "ub is", + "P arser", + "ST AR", + "Ġsyn aptic", + "ĠG ears", + "Ġh iber", + "Ġdebunk ed", + "Ġex alted", + "aw atts", + "H OU", + "Ch urch", + "ĠPix ie", + "ĠU ri", + "ĠForm ation", + "ĠPred iction", + "C EO", + "Ġthro tt", + "ĠBrit ann", + "ĠMad agascar", + "ë ĭ", + "Ġbill boards", + "ĠRPG s", + "ĠBe es", + "complete ly", + "F IL", + "Ġdoes nt", + "ĠGreen berg", + "re ys", + "Ġsl ing", + "Ġempt ied", + "ĠPix ar", + "ĠDh arma", + "l uck", + "ingu ished", + "Ġend ot", + "Ġbab ys", + "05 9", + "che st", + "r ats", + "Ġr idden", + "Ġbeet les", + "Ġillum inating", + "Ġfict itious", + "ĠProv incial", + "Ġ7 68", + "Ġshe pherd", + "ĠR ender", + "Ġ18 96", + "C rew", + "Ġmold ed", + "ĠXia omi", + "ĠSp iral", + "Ġdel im", + "Ġorgan ising", + "Ġho ops", + "ĠBe i", + "z hen", + "Ġfuck in", + "Ġdec ad", + "Ġun biased", + "am my", + "sw ing", + "Ġsmugg led", + "Ġk ios", + "ĠP ERSON", + "ĠInquis itor", + "Ġsnow y", + "Ġscrap ing", + "ĠBurg ess", + "P tr", + "ag ame", + "R W", + "Ġdro id", + "ĠL ys", + "ĠCass andra", + "Jac ob", + "Ġ35 4", + "Ġpast ure", + "Ġfr anc", + "ĠScot ch", + "ĠEnd s", + "ĠI GF", + "def inition", + "Ġhyster ical", + "ĠBrown e", + "77 1", + "Ġmobil ization", + "æ ķ", + "iqu eness", + "Th or", + "Ġspear headed", + "Ġembro iled", + "Ġconject ure", + "jud icial", + "Ch oice", + "Ġpaper back", + "P ir", + "Ġrec overs", + "ĠSur ge", + "ĠSh ogun", + "ĠPed iatrics", + "ãģ ł", + "Ġsweep s", + "ĠLabor atories", + "ĠP acks", + "al us", + "add in", + "Ġhead lights", + "g ra", + "Ev idence", + "COL OR", + "Ad min", + "Ĭ ±", + "Ġconco ct", + "s ufficient", + "Ġun marked", + "Ġrich ness", + "Ġdiss ertation", + "Ġseason ing", + "Ġg ib", + "ĠM ages", + "un ctions", + "ĠN id", + "che at", + "ĠTM Z", + "c itizens", + "ĠCatholic ism", + "n b", + "Ġdisemb ark", + "ĠPROG RAM", + "a ques", + "Ty ler", + "Or g", + "ĠSl ay", + "ĠN ero", + "ĠTown send", + "IN TON", + "te le", + "Ġmes mer", + "9 01", + "Ġfire ball", + "ev idence", + "aff iliated", + "ĠFrench man", + "ĠAugust a", + "0 21", + "Ġs led", + "Ġre used", + "ĠImmun ity", + "Ġwrest le", + "assemb led", + "Mar ia", + "Ġgun shots", + "ĠBarb ie", + "Ġcannabin oids", + "ĠTo ast", + "ĠK inder", + "IR D", + "Ġre juven", + "Ġg ore", + "Ġrupt ure", + "Ġbre aching", + "ĠCart oon", + "Ġ4 55", + "ĠPale o", + "6 14", + "Ġspe ars", + "ĠAm es", + "ab us", + "Mad ison", + "GR OUP", + "Ġab orted", + "y ah", + "Ġfel on", + "Ġcaus ation", + "Ġprep aid", + "Ġp itted", + "op lan", + "ĠShel ley", + "ĠRus so", + "ĠP agan", + "Ġwill fully", + "ĠCan aver", + "und rum", + "ĠSal ary", + "ĠAr paio", + "read er", + "ĠR ational", + "ĠOver se", + "ĠCa uses", + "Ġ* .", + "Ġw ob", + "Ke ith", + "ĠCons ent", + "man ac", + "77 3", + "6 23", + "Ġfate ful", + "et imes", + "Ġspir ited", + "ĠD ys", + "Ġhe gemony", + "Ġboy cot", + "ĠEn rique", + "em outh", + "Ġtim elines", + "ĠSah ara", + "ĠRel ax", + "ĠQuin cy", + "ĠLess ons", + "ĠE QU", + "SE A", + "N K", + "ĠCost co", + "Incre ase", + "Ġmotiv ating", + "ĠCh ong", + "am aru", + "ĠDiv ide", + "Ġped igree", + "ĠTasman ia", + "ĠPrel ude", + "L as", + "9 40", + "57 4", + "Ġch au", + "ĠSp iegel", + "un ic", + "-- >", + "ĠPhil ips", + "ĠKaf ka", + "Ġuphe aval", + "Ġsent imental", + "Ġsa x", + "ĠAk ira", + "ser ial", + "Mat rix", + "Ġelect ing", + "Ġcomment er", + "ĠNeb ula", + "ple ts", + "ĠNad u", + "ĠAd ren", + "Ġen shr", + "ĠR AND", + "fin ancial", + "ĠCly de", + "uther ford", + "Ġsign age", + "Ġde line", + "Ġphosph ate", + "rovers ial", + "f ascist", + "ĠV all", + "ĠBeth lehem", + "Ġfor s", + "Ġeng lish", + "S olid", + "N ature", + "Ġv a", + "ĠGu ests", + "Ġtant al", + "Ġauto immune", + ";;;;;;;; ;;;;", + "ĠTot ally", + "ĠO v", + "Ġdef ences", + "ĠCoc onut", + "Ġtranqu il", + "Ġpl oy", + "Ġflav ours", + "ĠFl ask", + "ãĤ¨ ãĥ«", + "ĠWest on", + "ĠVol vo", + "8 70", + "Ġmicro phones", + "ver bal", + "R PG", + "Ġi ii", + "; }", + "0 28", + "Ġhead lined", + "Ġprim ed", + "Ġho ard", + "ĠSh ad", + "ĠEN TER", + "Ġtri angular", + "Ġcap it", + "l ik", + "ĠAn cients", + "Ġl ash", + "Ġconv ol", + "Ġcolon el", + "en emy", + "G ra", + "Ġpub s", + "ut ters", + "Ġassign s", + "ĠPen et", + "ĠMon strous", + "ĠBow en", + "il ver", + "H aunted", + "ĠD ing", + "start ed", + "pl in", + "Ġcontamin ants", + "ĠDO E", + "ff en", + "ĠTechn ician", + "R y", + "Ġrob bers", + "Ġhot line", + "ĠGuard iola", + "ĠKau fman", + "row er", + "ĠDres den", + "ĠAl pine", + "E lf", + "Ġf mt", + "ĠS ard", + "urs es", + "g pu", + "Un ix", + "Ġunequiv ocally", + "ĠCitizens hip", + "qu ad", + "m ire", + "ĠS weeney", + "B attery", + "6 15", + "Ġpanc akes", + "Ġo ats", + "M aps", + "ĠCont rast", + "mbuds man", + "ĠE PS", + "Ġsub committee", + "Ġsour cing", + "Ġs izing", + "ĠBuff er", + "ĠMand atory", + "Ġmoder ates", + "ĠPattern s", + "ĠCh ocobo", + "ĠZ an", + "ĠSTAT ES", + "ĠJud ging", + "ĠIn her", + "* :", + "Ġb il", + "ĠY en", + "Ġexh ilar", + "oll ower", + "z ers", + "Ġsn ug", + "max imum", + "Ġdesp icable", + "ĠP ACK", + "ĠAn nex", + "Ġsarcast ic", + "Ġlate x", + "Ġt amp", + "ĠS ao", + "b ah", + "ĠRe verend", + "ĠChin atown", + "ĠA UT", + "d ocumented", + "ĠGA BA", + "ĠCan aan", + "ĠÙ ħ", + "Ġgovern s", + "pre v", + "E sc", + "ĠEst imates", + "OS P", + "Ġendeav our", + "ĠCl osing", + "omet ime", + "every one", + "Ġwor sen", + "Ġsc anners", + "Ġdev iations", + "ĠRobot ics", + "ĠCom pton", + "Ġsorce rer", + "Ġend ogenous", + "Ġem ulation", + "ĠPier cing", + "ĠA ph", + "ĠS ocket", + "Ġb ould", + "ĠO U", + "ĠBorder lands", + "Ġ18 63", + "G ordon", + "ĠW TO", + "Ġrestrict s", + "Ġmosa ic", + "Ġmel odies", + "ç Ħ", + "T ar", + "Ġdis son", + "ĠProv ides", + "Ġ ......", + "b ek", + "F IX", + "Ġbro om", + "ans hip", + "Do ctors", + "Ġner ds", + "ĠReg ions", + "na issance", + "Ġmet e", + "Ġcre pt", + "pl ings", + "Ġgirlfriend s", + "kn it", + "ig ent", + "ow e", + "Ġus hered", + "ĠB az", + "M obil", + "4 34", + "ĠPres ents", + "orig in", + "Ġins omnia", + "ĠA ux", + "4 39", + "ĠCh ili", + "irs ch", + "G AME", + "Ġgest ation", + "alg ia", + "rom ising", + "$ ,", + "c row", + "ĠIn spection", + "at omic", + "Rel ations", + "J OHN", + "rom an", + "ĠClock work", + "ĠBak r", + "m one", + "M ET", + "Ġthirst y", + "Ġb c", + "Ġfacult ies", + "R um", + "Ġnu ance", + "ĠD arius", + "ple ting", + "fter s", + "etch up", + "Reg istration", + "ĠK E", + "R ah", + "Ġpref erential", + "ĠL ash", + "ĠH H", + "Val id", + "ĠN AV", + "Ġstar ve", + "ĠG ong", + "z ynski", + "ĠAct ress", + "Ġw ik", + "Ġun accompanied", + "lv l", + "Br ide", + "AD S", + "ĠCommand o", + "ĠVaugh n", + "Wal let", + "Ġho pping", + "ĠV ie", + "Ġcave ats", + "Ġal as", + "if led", + "ab use", + "66 1", + "Ġib n", + "Ġg ul", + "Ġrob bing", + "t il", + "IL A", + "Ġmit igating", + "Ġapt ly", + "Ġty rant", + "Ġmid day", + "ĠGil more", + "ĠDe cker", + "Ġ§ §", + "part ial", + "Ex actly", + "Ġphen otype", + "Ġ[+ ]", + "ĠP lex", + "ĠI ps", + "vers ions", + "Ġe book", + "Ġch ic", + "g ross", + "\":\" \"},{\"", + "ĠSur prisingly", + "M organ", + "Ġresid ues", + "ĠConf ederation", + "in feld", + "Ġl yr", + "mod erate", + "Ġperpend icular", + "V K", + "Ġsynchron ized", + "Ġrefres hed", + "Ġad ore", + "ĠTor ment", + "ol ina", + "Ġ26 00", + "Item Tracker", + "Ġp ies", + "ĠF AT", + "ĠR HP", + "0 48", + "ĠRES P", + "ĠB J", + "all ows", + "P and", + "Ġunw elcome", + "ĠV oc", + "ĠBast ard", + "ĠO W", + "ĠL AR", + "ĠHeal er", + "Environment al", + "ĠKen yan", + "ĠTr ance", + "ĠP ats", + "Ġali ases", + "ĠGar field", + "Ġcampaign er", + "Ġadvance ments", + "ĠOkin awa", + "ĠC oh", + "ows ky", + "Ġstar ved", + "Ġsize able", + "Ġ: -)", + "Ġm RNA", + "Ġsusp ensions", + "ist ar", + "Scot land", + "Pr in", + "-------------------------------- ----------------", + "Ġ50 2", + "Ġteasp oons", + "Ġ10 50", + "Ġcoerc ive", + "ĠMason ic", + "edd ed", + "ĠPass enger", + "Ġl att", + "Ġbr aces", + "ĠSt eal", + "ĠNY T", + "ĠK ats", + "ĠCel est", + "ae z", + "T u", + "ĠCoul ter", + "ðŁ ĺ", + "Fl ickr", + "ĠWil mington", + "ith s", + "++ ;", + "Ġv ending", + "Ġneg ro", + "ĠPh i", + "ĠYellow stone", + "Call back", + "Ġsh ampoo", + "ĠSh ades", + "w at", + "Ġsuper human", + "Ġridic uled", + "Ġhol iest", + "om bo", + "Ġintern s", + "Ġh one", + "ĠPar agu", + "UR I", + "Ġd angling", + "ãĤ »", + "so v", + "ict ional", + "av ailability", + "Ġrev ocation", + "Ġd ow", + "in ic", + "ĠTHE IR", + "Ġis o", + "Ġout ings", + "ĠLeth al", + "Ġ) ))", + "Ġinacc ur", + "Ġout landish", + "Ġan us", + "let ico", + "id on", + "l ol", + "Ġun regulated", + "Ġsuccumb ed", + "Ġc uff", + "ĠWast eland", + "let al", + "Ġsub str", + "Ġcoff ers", + "Ġautom akers", + "ov i", + "ĠX ue", + "ĠDayton a", + "Ġjar ring", + "Ġf umes", + "Ġdisband ed", + "z ik", + "itt on", + "Ġstriking ly", + "Ġsp ores", + "Ad apter", + ".) :", + "ĠLynd on", + "ival ry", + "Ġor ally", + "Ġtumult uous", + "Ġdisple asure", + "Ġcon es", + "or rect", + "Ġappe ase", + "Ġder by", + "ĠTrip oli", + "ĠAl ess", + "Ġp oked", + "ĠGu ilty", + "v P", + "En ough", + "Ġorig inals", + "6 99", + "Ġrabb i", + "Ġproverb ial", + "Ġpostp one", + "el ope", + "ĠMist y", + "Ġstaff ed", + "ĠUn employment", + "redit ary", + "Ġdilig ent", + "re comm", + "me asures", + "as in", + "8 25", + "Ġpond s", + "Ġmm ol", + "ĠS AR", + "ĠC ARE", + "Ġ3 71", + "Ġclen ched", + "ĠCors air", + "Ġcaric ature", + "z n", + "att ach", + "ĠSch ro", + "spe ak", + "p ainted", + "ĠS uc", + "ĠE NT", + "Ġcell ul", + "ĠP aid", + "di agn", + "WH ERE", + "Ġtext ed", + "B arn", + "Ġret racted", + "ĠRe ferred", + "S av", + "Ġup keep", + "Ġwork places", + "ĠTok ens", + "Ġampl ify", + "cl inical", + "Ġmult ic", + "mber g", + "Ġconvol uted", + "Reg ion", + "5 65", + "ĠTop ic", + "Ġsn ail", + "Ġsal ine", + "Ġins urrection", + "ĠPet r", + "f orts", + "B AT", + "ĠNav ajo", + "Ġrud imentary", + "ĠLak sh", + "OND ON", + "Me asure", + "Ġtransform er", + "ĠGodd ard", + "Ġcoinc ides", + "ir in", + "R ex", + "ĠB ok", + "qu it", + "Ġshotgun s", + "Ġprolet arian", + "Ġsc orp", + "ĠAd a", + "5 14", + "Ġsl ander", + "record ed", + "Ġemb ell", + "ris ome", + "Ġapolog izing", + "ĠMul cair", + "ĠGib raltar", + "Cl a", + "Ġall ot", + "ĠAtt ention", + "Ġ4 33", + "le ave", + "Ġwh ine", + "ĠIss a", + "ĠFa ust", + "ĠBar ron", + "hen y", + "Ġvictim ized", + "J ews", + "Ġnurt uring", + "ett el", + "W inged", + "ĠSub tle", + "Ġflavor ful", + "ĠRep s", + "eng ed", + "call back", + "Ġdirection al", + "Ġcl asp", + "ĠDirect ions", + "plan et", + "icult ure", + "Hel per", + "ic ion", + "ac ia", + "Ġç ¥ŀ", + "Ġsur ges", + "Ġcan oe", + "ĠPrem iership", + "be en", + "Ġdef ied", + "ĠTro oper", + "Ġtrip od", + "Ġgas p", + "ĠE uph", + "ĠAd s", + "vern ight", + "high ly", + "R ole", + "Ġent angled", + "ĠZe it", + "6 18", + "ĠRust y", + "Ġhaven s", + "ĠVaugh an", + "HA EL", + "ĠSER VICE", + "/ ,", + "Ġstr icken", + "Ġdel usions", + "Ġb is", + "ĠH af", + "Ġgrat ification", + "Ġent icing", + "UN CH", + "Ad ams", + "ĠOL ED", + "ĠBeet le", + "Ġ18 99", + "ĠSO FTWARE", + "ateg or", + "V L", + "ĠTot em", + "ĠG ators", + "AT URES", + "Ġimped ance", + "Reg istered", + "ĠC ary", + "ĠAer ial", + "on ne", + "en ium", + "Ġd red", + "ĠBe g", + "Ġconcurrent ly", + "Ġsuper power", + "ĠX an", + "j ew", + "imes ter", + "ĠDick inson", + "âĶ ģ", + "F la", + "Ġp ree", + "ĠRoll ins", + "© ¶æ", + "Ġden omination", + "ĠL ana", + "5 16", + "Ġinc iting", + "sc ribed", + "j uries", + "ĠWond ers", + "app roximately", + "Ġsusp ending", + "Ġmountain ous", + "ĠL augh", + "oid al", + "N s", + "Det ect", + ") =", + "ĠL uthor", + "ĠSchwarz enegger", + "ĠMull er", + "ĠDev i", + "ec ycle", + "J ar", + "6 13", + "ĠL ongh", + "B ah", + "ĠSP ORTS", + "n w", + "Ġref inement", + "Ġwater ways", + "Ġd iner", + "Bl ade", + "68 3", + "F ac", + "Ġinitial s", + "Ġro g", + "Ġparan ormal", + "B UT", + "Ġ[ (", + "ĠSw anson", + "ĠM esh", + "âĸ ¬", + "Impro ve", + "ĠRad iation", + "ĠEst her", + "ĠE sk", + "ĠA ly", + "ik y", + "Ġir rad", + "ĠBuck ingham", + "Ġref ill", + "Ġ. _", + "Re pe", + "CON CLUS", + "Ġdifferent iated", + "Ġchi rop", + "ĠAt kins", + "Pat tern", + "Ġexc ise", + "Ġcab al", + "N SA", + "ĠST A", + "ĠS IL", + "ĠPar aly", + "Ġr ye", + "ĠHow ell", + "ĠCount down", + "ness es", + "alys ed", + "Ġres ize", + "ãĤ ½", + "Ġbudget ary", + "ĠStr as", + "w ang", + "Ġap iece", + "Ġprecinct s", + "Ġpe ach", + "Ġsky line", + "Ġ35 3", + "pop ular", + "App earances", + "ĠMechan ics", + "ĠDev Online", + "S ullivan", + "Z en", + "Ġp u", + "op olis", + "5 44", + "Ġde form", + "Ġcounter act", + "ĠL ange", + "Ġ4 17", + "Con sole", + "77 4", + "Ġnodd ing", + "Ġpopul ism", + "Ġhe p", + "Ġcoun selling", + "compl iance", + "U FF", + "Ġunden iably", + "Ġrail ing", + "ĠHor owitz", + "ĠSim one", + "ĠBung ie", + "Ġa k", + "ĠTal ks", + "x ff", + "fl ake", + "Cr ash", + "Ġsweat y", + "Ġban quet", + "ĠOFF IC", + "Ġinvent ive", + "Ġastron omer", + "ĠStam ford", + "ĠSc are", + "ĠGRE EN", + "olic ited", + "Ġr usher", + "Ġcent rist", + "ight ing", + "Ġsub class", + "Ġdis av", + "Ġdef und", + "ĠN anto", + "oci ate", + "m ast", + "Ġpac if", + "Ġm end", + "e ers", + "imm igration", + "ESS ION", + "Ġnumber ing", + "Ġlaugh able", + "ĠEnd ed", + "v iation", + "em ark", + "P itt", + "Ġmetic ulous", + "ĠL F", + "Ġcongrat ulated", + "ĠBir ch", + "Ġsway ed", + "Ġsemif inals", + "Ġhum ankind", + "m atter", + "ĠEqu ip", + "opa usal", + "S aid", + "ĠLay out", + "Ġvo icing", + "Ġth ug", + "Ġporn ographic", + "I PS", + "Ġmo aning", + "Ġgriev ance", + "Ġconf essions", + "esc al", + "TEXT URE", + "Aut hent", + "os aurus", + "P urchase", + "Ġreleg ation", + "al ter", + "ĠÂł Âł", + "Ġr iddled", + "Ġo gre", + "ĠLow ell", + "Occ up", + "E at", + "ĠHy der", + "ĠAdvis er", + "Com merce", + "H unt", + "ĠOr th", + "ĠComp etitive", + "ĠCL A", + "CD C", + "Ġsal ads", + "F le", + "Ġindustrial ized", + "` ,", + "ĠO WN", + "Ġbec k", + "ĠPart icularly", + "oub t", + "Ġm M", + "ĠHuss ain", + "ĠChen nai", + "Ġ9 20", + "Ġappoint ing", + "ĠCull en", + ",,,, ,,,,", + "Ġp ores", + "ver ified", + "Ġbi ochemical", + "em ate", + "Ġcoward ly", + "ĠHels inki", + "ĠEthiop ian", + "S OURCE", + "ER C", + "est ro", + "Ġbi otech", + "ĠS our", + "Ġbrew er", + "Bloom berg", + "Ġintens ify", + "Gl ass", + "an co", + "ĠF DR", + "gre SQL", + "ĠF ires", + "©¶æ ¥µ", + "ec o", + "100 1", + "ĠHom eless", + "Ġinstant aneous", + "ĠH aste", + "ig el", + "D iamond", + "Ġp aving", + "Ġland fill", + "Ġd ads", + "h oun", + ": ]", + "Ġinc endiary", + "ĠLiving ston", + "ĠHil bert", + "ĠChe cks", + "st yles", + "in ators", + "ĠCl ive", + "ph rine", + "Ġchimpan zees", + "Ġp all", + "ĠJ M", + "ĠAad haar", + "ð Ŀ", + "Ġachie vable", + "dis abled", + "P ET", + "OOOO OOOO", + "M ot", + "Ġint angible", + "Ġbal let", + "ĠWe bs", + "ĠEst imated", + "Effect s", + "Ġb ailed", + "Josh ua", + "Ġturb ulence", + "Ġoccup ant", + "ĠDay light", + "Ġ36 1", + "me et", + "Ġstat ically", + "Ġon look", + "Ġk i", + "il legal", + "Ġvel vet", + "Ġdehyd ration", + "Ġacqu ies", + "ĠRe z", + "ak ura", + "ĠU pton", + "at ro", + "Ġincomp rehensible", + "Ġback door", + "ĠRh ino", + "7 27", + "Ġmath s", + ") +", + "Ġhe resy", + "Ġd f", + "ĠRoc he", + "ĠL ydia", + "Ġpanc reat", + "re ply", + "arre ll", + "Ġsolicit ation", + "Ġcirc adian", + "BI P", + "Ġfor ay", + "Ġcrypt ic", + "iz u", + "ime o", + "ĠTom ato", + "ĠH oms", + "ex amination", + "Ġqu arry", + "ĠVal iant", + "ĠJer icho", + "ĠIN CLUD", + "Ġ18 40", + "5 19", + "Ġres ists", + "Ġsnap shots", + "ĠSp ur", + "ĠAnt iqu", + "Log in", + "Ġbest selling", + "Ġant ic", + "ĠS utherland", + "ãĤ¢ ãĥ«", + "Ġ~ /", + "ĠP arm", + "è ĥ", + "P ages", + "int ensity", + "Ġimm obil", + "Ġ18 65", + "zz o", + "Ġn ifty", + "Ġf entanyl", + "ĠPres ervation", + "op hen", + "Ġd arts", + "ĠD inosaur", + "po inters", + "ĠR ite", + "s uggest", + "aware ness", + "ĠSher idan", + "Ġst ances", + "Ġsor cery", + "Ġper jury", + "ĠNik ola", + "ie ver", + "Ġf iance", + "ĠJordan ian", + "ĠBall oon", + "Ġn ab", + "Ġk b", + "Ġhuman ities", + "ĠTan aka", + "hill ary", + "Ġconsult ancy", + "ĠZ ub", + "Ġrem ission", + "Ġconf id", + "CH Q", + "ĠF ug", + "Ġimpro vis", + "Y ep", + "/ _", + "Ġunwilling ness", + "Ġport folios", + "05 5", + "ĠInstruct or", + "aim an", + "Ġclaim ants", + "M bps", + "ĠBy e", + "re ceived", + "T weet", + "Ġind emn", + "ri z", + "am ara", + "N at", + "Ġeval uates", + "ĠL ur", + "ep ad", + "FO X", + "ĠTh ro", + "Ġrust y", + "Ġbed rock", + "ĠOp rah", + "J B", + "Ġmanip ulative", + "Ġwill ful", + "Ġrel apse", + "Ġext ant", + "The me", + "S ensor", + "ĠSt ability", + "go vern", + "Ġpo ppy", + "Ġkn ack", + "Ġins ulated", + "ĠT ile", + "ĠExt rem", + "Ġunt old", + "Ġconver ge", + "Ġref uel", + "ig roup", + "Ġdistort ions", + "Ġrav aged", + "Ġmechan ically", + "ĠRe illy", + "ĠN ose", + "ĠIncarn ation", + "ĠBeck y", + "abb ling", + "Ġt aco", + "Ġr ake", + "Ġmelanch oly", + "Ġillust rious", + "ĠDart mouth", + "Gu ide", + "ĠR azer", + "ĠBen z", + "Ult imate", + "ĠSur prise", + "Ġpage ant", + "off er", + "Who ever", + "Ġw iser", + "Ġchem ist", + "ĠHE LL", + "ĠBul k", + "Ġpl utonium", + "ĠCO VER", + "Ö ¼", + "f ailed", + "Ġtire lessly", + "Ġinf ertility", + "ĠTr ident", + "ĠShow time", + "ĠC iv", + "V ice", + "requ ires", + "itt ance", + "Ġun controlled", + "interest ing", + "56 1", + "Ġinnov ate", + "ateg ic", + "L ie", + "ĠS elling", + "U l", + "Ġsav ior", + "ĠT osh", + "Ġsw ast", + "P ASS", + "Ġr ink", + "Ġcard io", + "ĠI ro", + "ud i", + "Ġv antage", + "Ġv ans", + "ĠNi ño", + "+ =", + "Ġpropag ate", + "< ?", + "Ġmethod ological", + "204 39", + "Ġtrig lycer", + "Ġing rained", + "ĠAn notations", + "arr anted", + "6 17", + "ĠS odium", + "ĠA AC", + "techn ical", + "mult ipl", + "Ġ3 73", + "å ĭ", + "Ġdec isively", + "Ġboost ers", + "Ġdessert s", + "ĠGren ade", + "Ġtest ifying", + "ĠSc ully", + "ID s", + "Ġlock down", + "ĠSc her", + "ĠR é", + "ĠWhit man", + "ĠRams ay", + "rem ote", + "Ġh ikers", + "ĠHy undai", + "Ġcons cientious", + "Ġcler ics", + "ĠSiber ian", + "ut i", + "is bury", + "Ġrel ayed", + "Ġqu artz", + "ĠC BI", + "seek ers", + "ull a", + "Ġweld ing", + "ĠSh al", + "ble acher", + "T ai", + "ĠSam son", + "Ġt umble", + "ĠInvest or", + "Ġsub contract", + "ĠShin ra", + "ow icz", + "j andro", + "d ad", + "Ġtermin ating", + "ĠNe ural", + "ä» £", + "Ġleak age", + "ĠMid lands", + "ĠCaucas us", + "í ķ", + "c it", + "ll an", + "iv ably", + "ĠAlb ion", + "Ġ4 57", + "Ġregist rations", + "Ġcomr ade", + "Ġclip board", + "0 47", + "Ġdiscour aging", + "ĠO ops", + "Ad apt", + "Ġem path", + "n v", + "ĠPR OT", + "ĠDon n", + "ĠP ax", + "ĠB ayer", + "t is", + "Squ are", + "Ġfoot prints", + "part icip", + "ĠChile an", + "B rend", + "ind ucing", + "M agn", + "Ġclub house", + "ĠMagn um", + "Ġenc amp", + "ĠEth nic", + "uch a", + "ere y", + "Ġw atered", + "ĠCal ais", + "Ġcomplex ion", + "Ġsect s", + "Ġren ters", + "Ġbr as", + "oÄŁ an", + "Time out", + "Man agement", + "Ġinf ographic", + "P okemon", + "Cl ar", + "Ġloc ality", + "Ġfl ora", + "as el", + "P ont", + "Ġpop ulate", + "ĠO ng", + "Ġsubs istence", + "Ġa uctions", + "ĠMcA uliffe", + "ĠL OOK", + "br inger", + "Ġtit an", + "Ġmanif old", + "ĠâĹ ı", + "Ġcalibr ated", + "Ġcal iphate", + "ĠSH E", + "ĠCommission ers", + "ce ivable", + "j c", + "W inner", + "5 24", + "Ġcond one", + "Other wise", + "Ġp iling", + "Ġem body", + "ĠCrime an", + "ut ics", + "ĠEx hibition", + "Ġ4 26", + "e ering", + "Ġv ying", + "ĠH UGE", + "* =-", + "Ġprin cipled", + "à ¦", + "Ġquir ks", + "ĠEdit ors", + "put ing", + "G ES", + "ĠF TA", + "ठ¾", + "add on", + "ĠH AM", + "ĠFrie za", + "W oman", + ". $", + "Ġc rib", + "ĠHer od", + "Ġtim ers", + "ĠSp aces", + "ĠMac intosh", + "at aka", + "Ġgl ide", + "Ġsmell ing", + "ĠB AL", + "Ġun su", + "Ġcond os", + "Ġbicy cl", + "ĠRev ival", + "55 3", + "Ġjugg ling", + "H ug", + "ĠKardash ian", + "ĠBalk ans", + "mult iple", + "Ġnutrit ious", + "oc ry", + "19 00", + "Ġinteg rates", + "Ġad joining", + "ĠF older", + "roll ment", + "ven ient", + "Ġu ber", + "y i", + "Ġwh iff", + "ĠJu ven", + "ĠB orough", + "net te", + "Ġb ilingual", + "ĠSp arks", + "ph thal", + "man ufact", + "Ġt outing", + "ĠPH I", + "Ke efe", + "Rew ard", + "Ġinf all", + "ĠTem per", + "typ ically", + "ĠNik ol", + "Ġregular s", + "Ġpseud onym", + "Ġexhib itions", + "Ġbl aster", + "Ġ40 9", + "w arming", + "Ġrever ber", + "Ġrecip rocal", + "Ġ6 70", + "ip ient", + "b ett", + "ĠBe gins", + "Ġit ching", + "ĠPh ar", + "Ass uming", + "Ġem itting", + "ĠML G", + "Ġbirth place", + "Ġt aunt", + "ĠL uffy", + "ĠAm it", + "Ġcir cled", + "ĠN ost", + "enn ett", + "Ġde forestation", + "ĠHist orically", + "ĠEvery day", + "Ġovert ake", + "79 2", + "Ġn un", + "ĠLuc ia", + "Ġaccompan ies", + "ĠSe eking", + "ĠTr ash", + "an ism", + "R ogue", + "Ġnorth western", + "ĠSupplement al", + "ĠNY U", + "ĠF RI", + "ĠSat isf", + "x es", + "5 17", + "Ġreass ured", + "Ġspor adic", + "Ġ7 01", + "Ġmed ial", + "Ġcannabin oid", + "Ġbarbar ic", + "Ġep is", + "ĠExplos ive", + "ĠD ough", + "Ġuns olved", + "Support ed", + "Ġacknowled gment", + "sp awn", + "Ġkit chens", + "Ġ- =", + "talk ing", + "ic ist", + "ĠPeg asus", + "ĠPS U", + "Ġphot on", + "ĠAuthent ication", + "R G", + "@# &", + "76 2", + "ĠCl air", + "Ġdi aper", + "Ġbr ist", + "ĠProsecut ors", + "ĠJ em", + "6 28", + "ĠEvery where", + "ĠJean ne", + "equ ality", + "ãĥ© ãĥ³", + "object s", + "ĠPel icans", + "Ġ39 2", + "Ġbl u", + "b ys", + "ĠA go", + "Ġinstruction al", + "Ġdiscrim inating", + "ĠTR AN", + "ĠCorn el", + "ag os", + "Ġty re", + "Ġas piration", + "ĠBrid gewater", + "\": -", + "! \".", + "ĠEn s", + "ĠCoc o", + "P ie", + "Ġdet ach", + "ĠC ouch", + "Ġphys ique", + "ĠOccup ations", + "osc opic", + "en ough", + "B uzz", + "App earance", + "Y P", + "Ġrac er", + "Ġcompl icity", + "r pm", + "T oy", + "Ġinterrupt s", + "ĠCat alyst", + "Ġut ilitarian", + "imp act", + "Ġsp aghetti", + "Ġp orous", + "Ġeste emed", + "Ġinc iner", + "ĠI OC", + "7 48", + "Ġesp resso", + "ĠSm ile", + "abil ia", + "6 35", + "Ġmathematic ian", + "Ġ4 24", + "ĠK L", + "ĠH IP", + "Ġover heard", + "ĠT ud", + "ĠT ec", + "Ġqu izz", + "Ġfl attering", + "Ġcon n", + "âĢ İ", + "Ġatt aches", + "ĠR OS", + "ĠAC S", + "Ġt cp", + "ĠSh ame", + "sk ip", + "res pected", + "ĠTrin idad", + "gr ain", + "Ġfooth old", + "ĠUnch arted", + "ĠJul io", + "z l", + "av ored", + "ĠAn xiety", + "er rors", + "ĠCent auri", + "its ch", + "D addy", + "Ġclutch ing", + "ĠIm plement", + "ĠGut ierrez", + "Ġ7 60", + "Ġtele portation", + "end ra", + "Ġrevers ible", + "st ros", + "Ad venture", + "08 3", + "Ġliber ating", + "Ġas phalt", + "ĠSp end", + "AR DS", + "im sy", + "PR ES", + "ĠEmer ging", + "Ġwild fires", + "Ġtechn ologically", + "Ġem its", + "ĠART ICLE", + "Ġirregular ities", + "Ġcher ish", + "çī Ī", + "Ġst ink", + "ĠR ost", + "Econom ic", + "Ġcough ing", + "ĠMcC ann", + "pro perties", + "ilant ro", + "Ġreneg oti", + "Trans lation", + "Ġin quest", + "ĠGra pe", + "oot ers", + "gu i", + "ĠSwords man", + "ace ae", + "h itting", + "Ġr c", + "Ġexert ed", + "ĠS AP", + "it ent", + "Ġperil ous", + "Ġobsc urity", + "Ġassass inate", + "Ġab original", + "Ġresc uing", + "ĠSh attered", + "lock ing", + "all ion", + "Ch anging", + "ĠHar rington", + "ĠB ord", + "ĠAfgh ans", + "Jam ie", + "aret z", + "ĠAugust us", + "Ġ38 6", + "8 30", + "Ġj og", + "ok ingly", + "Tr igger", + "ĠH OR", + "Stat istics", + "Ġviewers hip", + "Ġadd itives", + "h ur", + "Ġmaxim izing", + "ĠR ove", + "ĠLou ie", + "ĠBuck et", + "ĠCHR IST", + "ou sel", + "Ġstre aks", + "ir ted", + "Ġt ert", + "Ġcolonial ism", + "Ġbur ying", + "y k", + "Cond ition", + "ĠDPR K", + "By Id", + "75 1", + "âĹ ¼", + "Ġwor risome", + "Ġvoc ational", + "sl ice", + "Ġsa ils", + "ĠCorrection al", + "95 4", + "Ġt ul", + "K id", + "l uster", + "Ġfam ilial", + "ĠSp it", + "ĠEp iscopal", + "Specific ally", + "ĠVol cano", + "run s", + "q s", + "Ġve tted", + "Ġcram med", + "t rop", + "here r", + "Thank fully", + "Ġper cussion", + "Ġor anges", + "Ġround up", + "Ġ4 99", + "x ious", + "Char acters", + "ĠZion ism", + "ĠR ao", + "ÃĽ ÃĽ", + "W F", + "Ġunintention al", + "ONE Y", + "Gr ab", + "Com mercial", + "Ġglut amate", + "ĠMcK enna", + "ru ciating", + "ning ton", + "ih u", + "Ch an", + "ĠSw ap", + "Ġleaf lets", + "Ġfunction ally", + "er ous", + "F arm", + "Ġcal oric", + "ĠLiter ally", + "con cert", + "Ġshe nan", + "Ġrep aid", + "ey es", + "Ġbas hing", + "ĠG orge", + "Ġcollabor ations", + "Ġun account", + "itch ie", + "Ġteam work", + "pp elin", + "Ġpip ing", + "Ġmin ced", + "Ġd iam", + "ri eg", + "Ġmasc ara", + "Ġsuck er", + "ĠMo ons", + "App s", + "ĠPe ck", + "Ġper v", + "ĠFl oat", + "o ley", + "ĠN ish", + "im ize", + "Ġarom atic", + "u in", + "end ish", + "! /", + "ĠB icycle", + "ĠAS IC", + "ile ged", + "ĠQuad ro", + "ios yn", + "Ġlock out", + "ĠW ink", + "SP EC", + "Attempt s", + "Ġseed ed", + "red o", + "ias is", + "Ġsn ag", + "ãĥķ ãĤ©", + "ãĤ ¶", + "Ġground ing", + "Ġrelie ver", + "Ġfrivol ous", + "ĠG ifts", + "ĠF aces", + "Es pecially", + "Ġmicrobi ome", + "im ag", + "ĠSch l", + "ĠP les", + "ĠBle ach", + "ĠIr win", + "ĠE aton", + "ĠDisc iple", + "Ġmultipl ication", + "Ġcoer ced", + "Ġ4 19", + "st h", + "E vil", + "B omb", + "Ġex orc", + "Ġstag gered", + "L ESS", + "Ġinert ia", + "ĠED IT", + "Ġgo b", + "Tr aditional", + "Ġclass y", + "Lear y", + "ĠP AGE", + "yr s", + "Ġtrans porter", + "Ġmat ured", + "Ġhij ab", + "Ġbi ome", + "Where as", + "Ġex termination", + "ĠT ues", + "ĠT akeru", + "ĠAud rey", + "er ial", + "ĠAd en", + "aff les", + "Ġnarciss istic", + "ĠB aird", + "UT F", + "I re", + "ĠCon nie", + "Ch amp", + "Ġwhis pering", + "ĠH att", + "D K", + "Ġdis infect", + "Ġdeduct ed", + "Ġpart ake", + "Ġdown grade", + "ĠEs ports", + "ĠContin uing", + "Ġdemocr atically", + "icro bial", + "itt a", + "Ġlim estone", + "Ġexempt ed", + "ĠFren zy", + "H erm", + "7 28", + "Ġfled gling", + "Met a", + "765 61", + "69 3", + "% :", + "w ake", + "5 26", + "ĠDis cipline", + "Ġvirgin ity", + "ĠLeg ions", + "ĠFrank ie", + "int ent", + "Ġrest rooms", + "ĠRou ter", + "da q", + "Ġobjection able", + "âĨ ij", + "w ark", + "ĠRah ul", + "g ain", + "activ ation", + "abs olute", + "ĠAccess ed", + "Ġ24 00", + "ogg les", + "Ġsecond ly", + "ĠDEF ENSE", + "Ġpost age", + "wra pper", + "sh arp", + "7 29", + "Ġcommun icates", + "Ġadd on", + "ĠMil itia", + "H ong", + "Ġsl umped", + "ĠJP EG", + "ĠI car", + "ad ish", + "68 1", + "Ġmaj esty", + "ĠWolf gang", + "ĠEl astic", + "u per", + "Ġv iz", + "Ġunconscious ly", + "ĠST D", + "ĠS ass", + "Ġflower ing", + "ĠHel ic", + "ĠDra per", + "ĠAm ateur", + "Ġman ure", + "Ġdis ingen", + "ĠLe i", + "br ing", + "9 49", + "Ġinhib ited", + "Ġhead quartered", + "Ġen igmatic", + "�� �", + "Ġred ress", + "R H", + "Ġratt led", + "Ġd iction", + "l io", + "ĠT BA", + "ĠSN AP", + "C alling", + "Ġfasc ists", + "ĠD ove", + "iew icz", + "0 36", + "Ġco asts", + "ĠR ect", + "Ġ) ]", + "L ot", + "6 29", + "ĠS EM", + "ĠPeters en", + "ĠExpl ain", + "ĠBo ards", + "ĠBe zos", + "ĠJ ournals", + "Ġ20 24", + "p arser", + "Ġmist rust", + "Ġgr ate", + "ĠL ocked", + "bo a", + "S aint", + "g aming", + "Ġvow el", + "in ately", + "bl ow", + "All ah", + "Ġun matched", + "Ġb ordering", + "ĠExp end", + "n r", + "Or acle", + "rou ch", + "Ġcont iguous", + "ac us", + "Ġdist raught", + "58 1", + "Ġanat omical", + "O X", + "ap ixel", + "8 33", + "ĠPL US", + "Ġres usc", + "Ġab iding", + "57 3", + "Ġvac ancies", + "Em ily", + "Ġhyp othal", + "ĠWer ner", + "ĠWe e", + "ĠDJ s", + "5 13", + "Ġwitch craft", + "Ġac upuncture", + "ent ary", + "benef it", + "Product s", + "ĠP SP", + "ĠMP G", + "ĠJ inn", + "ĠJ arrett", + "Ġ4 45", + "ĠIm aging", + "ĠP yth", + "Fin ish", + "Ġte x", + "Ġjuven iles", + "Ġhero ism", + "Ġdoubt less", + "ĠA ki", + "ĠT end", + "ĠPatri arch", + "Ġbit ters", + "ĠTele communications", + "it atively", + "ag na", + "Ġr g", + "ĠS OLD", + "Ġcomp ulsion", + "ĠN asa", + "ĠKath ryn", + "Ġmillion aires", + "Ġintrins ically", + "Ġbolst ered", + "time out", + "fl o", + "Ġtut or", + "p our", + "Stat ement", + "Ġ{ *", + "ĠRud olph", + "ĠKimber ly", + "rog ens", + "adi q", + "] +", + "Ġindign ation", + "Ġfract uring", + "ĠRe leases", + "ĠGr ain", + "pro tein", + "L ago", + "Ġvac ations", + "Ġboot ed", + "ĠTH REE", + "ĠH G", + "oresc ence", + "Ġt f", + "Ġso ar", + "iosyn cr", + "Ġgl ances", + "ĠSp oon", + "ĠJ ury", + "ĠCow boy", + "Ġcreat ively", + "Hig her", + "Ġsolic itor", + "Ġhaw k", + "ac io", + "89 6", + "Ġsuperf lu", + "Ġbombs hell", + "ct ure", + "Ġbroker age", + "Ġraid ing", + "Ġf rench", + "Ġang led", + "Trans action", + "ĠGen ocide", + "u pe", + "ĠHait ian", + "57 2", + "! :", + "Ġunwitting ly", + "iter ator", + "sc roll", + "Ġtall ied", + "Ġbi omedical", + "ĠC ARD", + "Ġe uphem", + "Ġbrain storm", + "a quin", + "K o", + "Mic helle", + "ĠR unes", + "ĠBall istic", + "ud ers", + "Ġmod esty", + "ĠiP ads", + "ĠEzek iel", + "Y E", + "Ġstars hip", + "Ġpower fully", + "Ġper l", + "ĠSh ade", + "ĠQu art", + "ĠE EG", + "Ġfisher man", + "OS ED", + "ĠTyp ical", + "df x", + "Ġmes hes", + "Ġet ched", + "worth iness", + "Ġtopp led", + "Ġ3 96", + "or ius", + "We iss", + "Ġmy sql", + "ĠVal halla", + "Ù Ĵ", + "le asing", + "Ġrec omp", + "rap nel", + "S el", + "04 3", + "Ġder ailed", + "ĠGu ides", + "IR T", + "Ġde human", + "ĠBritt any", + "\" ))", + "Ġex claim", + "Ġb alk", + "Ġ8 40", + "CLA IM", + "int el", + "L AB", + "Ġpe gged", + "Ġast roph", + "sm oking", + "Ġrig ging", + "Ġfix ation", + "Ġcat apult", + "ins ide", + "ĠC ascade", + "ĠBolshe vik", + "G aza", + "Dep th", + "Ġloud spe", + "Ġalmond s", + "me yer", + "l eness", + "j en", + "f resh", + "Ġunbeat en", + "ĠSqu id", + "ĠPres umably", + "Tim er", + "B W", + "Ġro sters", + "Ġell ipt", + "ĠHar riet", + "dat abase", + "ĠMut ual", + "ĠComm odore", + "uk ed", + "kn ife", + "ĠCOMM UN", + "h ya", + "Ġmel ts", + "arch ives", + "Ġrat ification", + "Ġmultip lying", + "Ġinter oper", + "Ġasc ert", + "w ings", + "ver ting", + "ĠScorp ion", + "ay e", + "ĠPorts mouth", + "ĠM TA", + "n it", + "iaz ep", + "Ġqu arantine", + "Ġslides how", + "Ġcent imeters", + "Ġsyn opsis", + "Ġsp ate", + "th irst", + "Ġnom inating", + "ĠMel vin", + "Pre view", + "Ġthro b", + "Ġgener ational", + "ĠRad ius", + "rest ling", + "put able", + "aw ar", + "N ECT", + "Ġunlaw fully", + "ĠRevel ations", + "Wik ipedia", + "sur v", + "Ġeye ing", + "ij n", + "ĠF W", + "Ġbr unt", + "Ġinter stellar", + "Ġcl itor", + "ĠCroat ian", + "ĠCh ic", + "ev a", + "ĠDis app", + "ĠA kin", + "iner ies", + "d ust", + "Interest ed", + "Ġgen esis", + "ĠE ucl", + "ö n", + "p icking", + "Ġmut ated", + "Ġdisappro ve", + "ĠHD L", + "Ġ6 25", + "Ì ¶", + "c ancer", + "Ġsqu ats", + "Ġle vers", + "Disc uss", + "= ]", + "D ex", + "ĠVIDE OS", + "A UD", + "Ġtrans act", + "ĠKin ect", + "ĠK uala", + "ĠC yp", + "7 47", + "Ġsh attering", + "Ġarsen ic", + "ĠInt ake", + "ĠAngel o", + "ĠQu it", + "ĠK he", + "Ġ18 93", + "M aker", + "0 29", + "ĠPain ting", + "Dis able", + "9 16", + "Ġanal ges", + "Ġtact ile", + "Ġprop hes", + "Ġd iced", + "ĠTravel s", + "ĠHe ader", + "ĠClub s", + "Ass istant", + "Ġinc rim", + "Ġd ips", + "Ġcruc ifix", + "ĠShan ahan", + "ĠInter pret", + "Ġ40 90", + "al ogy", + "abb a", + "Ġsimul ac", + "hus band", + "S IM", + "Ġrecy cle", + "uc er", + "ed ged", + "Ġre naissance", + "ĠBomb ay", + "Cath olic", + "ĠL INE", + "ĠCl othing", + "re ports", + "Ġpl aus", + "Ġd ag", + "ĠM ace", + "Z I", + "Ġintr uder", + "ĠVeter inary", + "g ru", + "Ġsne aky", + "ĠS ie", + "ĠC innamon", + "P OSE", + "Ġcou rier", + "ĠC NS", + "Ġemanc ipation", + "s it", + "Ġplay through", + "ĠFac ilities", + "v irt", + "ĠG auntlet", + "Thom pson", + "Ġunbeliev ably", + "Param eters", + "Ġst itching", + "ign e", + "ĠTH ESE", + "Priv acy", + "Ġshenan igans", + "Ġvit ri", + "ĠVal id", + "59 1", + "Ń ·", + "ĠProt otype", + "ink a", + "SC P", + "ĠT id", + "è Ī", + "old ed", + "Ġindividual ity", + "Ġbark ing", + "Ġm ars", + "ĠW D", + "Ġ8 20", + "Ġt ir", + "Ġsl apping", + "Ġdisgr untled", + "ĠAng ola", + "ri us", + "ĠTorn ado", + "ĠTh urs", + "Ġcapt cha", + "Ġang st", + "ĠP og", + "ĠAssass ins", + "ĠAd idas", + "Ġjoy ful", + "Ġwh ining", + "Emer gency", + "Ġphosph orus", + "Ġatt rition", + "oph on", + "ĠTimber wolves", + "ĠJ ah", + "ĠBr inging", + "ĠW ad", + "ĠEn sure", + "oh l", + "ĠX ie", + "omm el", + "c mp", + "Ġz ipper", + "Ġrel at", + "ĠCor ridor", + "m ilo", + "T ING", + "Av g", + "Ġcro pped", + "] }", + "Ġr aged", + "ĠLump ur", + "ĠGuer rero", + "our ke", + "N ut", + "Ġoff sets", + "og lu", + "dr m", + "Ġmort als", + "lat able", + "Ġdismiss ive", + "ä¸ ī", + "Ġthro ats", + "Ġchips et", + "ĠSpot light", + "Catal og", + "art ist", + "G b", + "Ġch illy", + "Ġst oked", + "Ġ3 74", + "W ard", + "L atin", + "Ġf iasco", + "Ġble ach", + "Ġb rav", + "Enh anced", + "Ġin oc", + "ĠFior ina", + "_ >", + "Ġle ukemia", + "Ġel uc", + "Ġannoun cer", + "ĠLith uan", + "ĠArm ageddon", + "å ĩ", + "Len in", + "ĠR uk", + "Ġpe pp", + "ĠRom antic", + "ĠP IT", + "ĠInter stellar", + "ĠAt kinson", + "R aid", + "J s", + "Go al", + "C ourse", + "Ġvan ishing", + "es ley", + "ĠR ounds", + "Els a", + "59 3", + "Ġredund ancy", + "ĠST AND", + "Ġprop hetic", + "Ġhabit able", + "ry u", + "Ġfaint ly", + "M ODE", + "Ġfl anked", + "IR C", + "Aw esome", + "Ġsp urious", + "ĠZ ah", + "ĠMS G", + "Ġsh ading", + "Ġmotiv ational", + "ĠSant ana", + "ĠS PR", + "Ġexc ruciating", + "om ial", + "ĠM iko", + "ĠLe opard", + "A byss", + "Ġ[ |", + "d irty", + "Ġbath s", + "Ġdem oral", + "and re", + "P B", + "Ġun ification", + "Ġsac rament", + "Ġ[ &", + "Ġpric eless", + "Ġgel atin", + "Ġeman ating", + "ĠAll aah", + "98 6", + "Ġout burst", + "Ġer as", + "ĠX VI", + "ĠSP I", + "O tt", + "ĠLaz arus", + "PL IED", + "F lying", + "blog s", + "W isconsin", + "R aven", + "Ġreb ate", + "Ġcreep s", + "ĠSp an", + "ĠPain ter", + "ĠKir a", + "ĠAm os", + "ĠCor vette", + "Cons umer", + "ĠRec over", + "ck i", + "Ġpes ky", + "ĠIn vention", + "Compan ies", + "Ġchalleng ers", + "ad emic", + "ĠUkrain ians", + "ĠNeuro log", + "ĠFors aken", + "Ġent rants", + "Ġemb attled", + "Ġdef unct", + "ĠGlac ier", + "Ġpo isons", + "ĠH orses", + "m akes", + "ĠD irt", + "Ġ4 23", + "hh h", + "ĠTrans formation", + "QUI RE", + "................ ..", + "Ġtrave ller", + "ĠSe xy", + "ĠK ern", + "ip olar", + "Ġransom ware", + "oooooooo oooooooo", + "E c", + "rub y", + "Prof essional", + "ĠOut break", + "arg ument", + "G rey", + "ĠFif a", + "ĠCH O", + "ĠFOR M", + "ĠAm trak", + "- [", + "Ġcr adle", + "Ġantioxid ants", + "ãģ®å ®", + "7 36", + "ĠNAS L", + "ĠContribut ions", + "Ind iana", + "ĠST EP", + "C SS", + "Ġsal ient", + "Ġall ocations", + "yr ights", + "Ġm ashed", + "ĠCut ter", + "Sex ual", + "Ġp ounded", + "Ġfan base", + "Ġc asc", + "ĠTrans parency", + "Ġanaly tic", + "ĠSummon er", + "× ŀ", + "ĠAD C", + "det ail", + "Ġvan quished", + "Ġcr abs", + "ar ie", + "Dest roy", + "ĠS ack", + "Ġtrans istor", + "Al abama", + "ĠK oen", + "ĠFisher ies", + "c one", + "Ġannex ed", + "ĠM GM", + "es a", + "Ġf aked", + "ĠCong ratulations", + "Ġhind ered", + "Ġcorrection al", + "ĠI TV", + "lee ve", + "Ġin appropriately", + "lic ks", + "Ġtresp ass", + "Ġp aws", + "Ġnegoti ator", + "ĠChrist ensen", + "lim its", + "ĠDian ne", + "Ġeleg ance", + "ĠContract s", + "an ke", + "Ob j", + "Ġvigil ance", + "Ġcast les", + "ĠN AD", + "ĠHol o", + "Ġemph atically", + "ĠTit us", + "ĠServ ing", + "ĠRich ie", + "ĠP igs", + "5 68", + "Ġanim osity", + "ĠAtt ributes", + "ĠU riel", + "M Q", + "my ra", + "ĠApplic ant", + "Ġpsychiat rists", + "ĠV ij", + "ĠAb by", + "ag ree", + "P ush", + "Ġk Wh", + "hib a", + "Ġinc ite", + "ĠWe asley", + "ĠTax i", + "minist ic", + "hy per", + "ĠF arn", + "Ġ6 01", + "ĠNation wide", + "F ake", + "95 2", + "Ġma ize", + "Ġinteract ed", + "Ġtransition ed", + "Ġparas itic", + "Ġharm onic", + "Ġdec aying", + "Ġbas eless", + "ns ics", + "Ġtrans pired", + "Ġabund antly", + "ĠFore nsic", + "Ġtread mill", + "ĠJ av", + "ab and", + "Ġssh d", + "Ġfront man", + "ĠJak arta", + "oll er", + "dro ps", + "ĠSERV ICES", + "rompt u", + "oph ical", + "h ospital", + "bled on", + "6 45", + "Ġmid range", + "ĠEV ENT", + "cul ated", + "raw led", + "Ġper ched", + "Ġover board", + "ĠPe el", + "ĠP wr", + "ĠCar th", + "ĠCOM PLE", + "co e", + "sh all", + "Ġdeter rence", + "M ETHOD", + "ĠAbs ent", + "M EN", + "Ġs ill", + "ĠLE VEL", + "Y ork", + "Ġsin ners", + "ĠOP EC", + "ĠN ur", + "ĠDesign s", + "se lection", + "Ġunw orthy", + "CH A", + "Ġstreng thens", + "88 3", + "ed ly", + "Ġslic ing", + "Ġmal nutrition", + "Ġfilm making", + "ĠPol k", + "ur ated", + "Ġ4 21", + "bre akers", + "!' \"", + "Ġwet lands", + "ĠDisc rimination", + "Ġallow able", + "Ġste ered", + "ĠSic ily", + "S AM", + "Ġmust ache", + "Ġm ids", + "Ġcl ipped", + "Ġcirc ulate", + "Ġbr ittle", + "ĠBuild ings", + "ra ised", + "ĠRound up", + "Ġwealth ier", + "Ġoverw rite", + "Ġover powered", + "ĠGerr ard", + "s ites", + "PD ATED", + "Ġacute ly", + "ĠGam ble", + "Ġp im", + "ĠK us", + "Typ ically", + "De ploy", + "ĠMoroc can", + "p otion", + "com be", + "Ġvigil ante", + "Ġ36 3", + "St ew", + "ĠB agg", + "Ġres ided", + "ĠSp o", + "Ġrem nant", + "Ġempt iness", + "br ainer", + "Ġout patient", + "pri ority", + "Ġle ptin", + "ĠPay ton", + "ĠGle aming", + "ĠS hed", + "ĠPol o", + "ĠMormon ism", + "rest ricted", + "arl ane", + "w x", + "Ġcreat ine", + "ĠAn on", + "ĠST UD", + "ĠJ UL", + "ĠT ee", + "5 28", + "08 9", + "Ġhat ched", + "Dis patch", + "ĠCompos ite", + "Ġ45 1", + "p uff", + "ĠX COM", + "ĠOr n", + "ĠTH ANK", + "END ED", + "ĠAshe ville", + "Ġà ľ", + "Ġman go", + "ĠS lightly", + "world ly", + "ĠW ander", + "ĠExp and", + "ĠCh r", + "M ist", + "Ġorthodox y", + "ĠUN ESCO", + "reg ate", + "Else where", + "k ie", + "ir led", + "Ġtopp le", + "Ġadopt ive", + "ĠLeg s", + "d ress", + "ĠS agan", + "b are", + "ĠGl ou", + "Cr unch", + "Ġhelp ers", + "Ġchron ically", + "ĠH uma", + "1 0000", + "Ġaccommod ating", + "äº Ķ", + "Ġwrink les", + "Ġdod ged", + "four th", + "Ġpre con", + "Ġcompress or", + "ĠK are", + "Ġev ict", + "ĠWar wick", + "im ar", + "Ġmodern ization", + "Ġband wagon", + "Ġref uted", + "Ġnet ted", + "ĠNa ples", + "ĠGen ie", + "per ors", + "Ġfield ed", + "Ġde re", + "ĠPar ables", + "le es", + "Ġtr out", + "asp ers", + "Ġn ihil", + "Ġhapp iest", + "Ġflo ppy", + "ĠLo ft", + "ĠHe ard", + "Ġun ison", + "Ġl ug", + "ĠRed mond", + "class ic", + "Supp orters", + "SH IP", + "G MT", + "Ġfue lled", + "ç IJ", + "Ġd d", + "ĠEmin em", + "Ġ18 97", + "NY SE", + "Ġsecret aries", + "ĠF IA", + "ĠCanaver al", + "F avorite", + "Ġp omp", + "Ġdetain ee", + "ers hip", + "aim on", + "i our", + "ĠA pex", + "Ġplant ations", + "am ia", + "ac ion", + "R ust", + "Ġtow ed", + "ĠTru ly", + "5 77", + "Ġshel tered", + "r ider", + "W o", + "Ġl air", + "ĠInt elligent", + "impro ve", + "m atically", + "Ġet iquette", + "ad ra", + "all o", + "ĠJun o", + "any thing", + "ĠStru ggle", + "ĠPred ict", + "ĠGr imes", + "ĠAMER ICA", + "ct x", + "ĠSit uation", + "W OOD", + "Ġsol uble", + "me ier", + "Ġintoler able", + "ang ering", + "Ġun interrupted", + "Ġtool tip", + "Ġinterrog ated", + "Ġgun ned", + "ĠSne ak", + "æŃ ¦", + "Ġt ether", + "Ġcr umble", + "L ens", + "Ġclust ered", + "ĠSy l", + "ĠHas an", + "Ġdystop ian", + "w ana", + "Ġjoy stick", + "ĠTh ib", + "amm u", + "Tom orrow", + "5 46", + "Ġoverc ame", + "Ġminim ized", + "cept or", + "Run ner", + "ENG TH", + "ĠBrend a", + "ĠAchieve ments", + "Ġtor ches", + "Ġrapp ort", + "ĠInvestig ator", + "ĠHand ling", + "rel ation", + "g rey", + "8 15", + "Ġk cal", + "ĠComm ands", + "d q", + "Ġcur ls", + "Ġbe arer", + "Ġcyn icism", + "it ri", + "ĠUse ful", + "B ee", + "D CS", + "Ġab ras", + "P ract", + "BIL ITIES", + "7 12", + "Ġdebug ger", + "Ġdebt or", + "ĠL ia", + "ĠK ers", + "Ġexacerb ate", + "ĠSt acy", + "ĠB land", + "ĠSc enes", + "Ġbranch ing", + "âĸĪâĸĪâĸĪâĸĪ âĸĪâĸĪâĸĪâĸĪ", + "ape ake", + "Ġs alsa", + "Ġmish and", + "ĠKon ami", + "ĠN ib", + "Ġanecd ote", + "Ġagree able", + "Ï ī", + "ĠNath aniel", + "ĠHe isman", + "ĠB eware", + "Ġ18 86", + "spect ive", + "69 1", + "5 22", + "Ġinhib its", + "Ġhas hing", + "Ġ18 89", + "å° Ĩ", + "v ich", + "P ure", + "Ġsolid ly", + "Ġaspir in", + "im aru", + "Ġstreet car", + "ĠU CS", + "ĠJ udd", + "Ġflash backs", + "p ins", + "Ġ14 40", + "ĠUN HCR", + "ĠSym ptoms", + "T IT", + "5 38", + "F ra", + "% );", + "Ġo oz", + "Ġcur few", + "Ġcal med", + "Ġparticip ates", + "Te X", + "Ġnons ensical", + "Ġfull back", + "ĠDe L", + "mon key", + "h ari", + "Ġmetabol ites", + "Ġloot ed", + "ĠAL WAYS", + "ĠB CC", + "L t", + "oc het", + "B one", + "Ġveto ed", + "Ġg cc", + "ĠCL ICK", + "Ġ18 88", + "s af", + "Ġstiff ness", + "Ġlow ly", + "ĠGe h", + "vers on", + "ors et", + "Ġun foreseen", + "Ġan esthesia", + "ĠOpt ical", + "Ġrecon structed", + "ĠT up", + "sh ows", + "NEW S", + "ĠNewsp aper", + "ĠA SA", + "ter a", + "N umbers", + "Ġinexpl icable", + "× ij", + "Ġhard ness", + "unt arily", + "ĠA cer", + "grad ient", + "ARD IS", + "Ġwood land", + "Ġmetaph ors", + "ĠWem bley", + "ĠPa vel", + "phil is", + "Ġre writing", + "Ġpercept ual", + "Ġ10 70", + "worm s", + "ĠDown s", + "Ġunsur prisingly", + "Ġtag ging", + "fl ame", + "Ġlit res", + "Ġboun ces", + "ĠB abe", + "sh ut", + "Ġoverd oses", + "ĠShe ila", + "ĠCh au", + "ĠBl ess", + "Capt ure", + "ĠSign ificant", + "ĠSc ion", + "Ġ38 9", + "ĠMc H", + "ĠTitan ium", + "ĠMe al", + "amed a", + "ag ents", + "agg ressive", + "B illy", + "76 3", + "ĠS aying", + "DER R", + "it one", + "Coll ins", + "B ound", + "Ġbol ted", + "ĠDM CA", + "95 3", + "Ġun iqueness", + "Ġep igen", + "un ci", + "ant am", + "Ġreck oning", + "ch airs", + "OG R", + "ĠSen egal", + "Ġ18 62", + "re levant", + "Ġ ¯", + "Ġpharm acies", + "ĠG eral", + "v ier", + "Y an", + "OR PG", + "Ġrab id", + "b ending", + "ĠUN ITED", + "Ġ4 65", + "As sembly", + "Ġwe ep", + "Ġbe hest", + "ĠMother s", + "ĠJ ace", + "h id", + "Ġwh irlwind", + "ĠUN IVERS", + "Ġut opian", + "Ġkidn ap", + "Ph ilipp", + "K in", + "89 3", + "Ġlivest ream", + "ĠM ISS", + "Ġsub versive", + "ĠTechn iques", + "ĠJUST ICE", + "ĠB ASE", + "Ġ38 7", + "Ġassail ants", + "ĠHard core", + "Ġsprink led", + "ĠP se", + "é ļ", + "print ed", + "ĠH au", + "OR GE", + "ĠT OUR", + "Ġl aced", + "Ġit ch", + "G iving", + "Ġport ed", + "78 1", + "//////////////// ////////////////", + "bre eding", + "Ġlog ger", + "ĠH OL", + "inn ie", + "First ly", + "Ġembry onic", + "Ġdeleg ated", + "p ai", + "O IL", + "Ġcentr ally", + "ĠR x", + "ĠSc outing", + "D utch", + "Ġhe reditary", + "ĠCru iser", + "s at", + "5 29", + "ĠMar riott", + "other mal", + "Ġprohib itions", + "E arn", + "ĠSt ab", + "ĠColleg es", + "ĠBel ief", + "st retched", + "ĠL H", + "ĠEntity Item", + "C IA", + "Ġun rem", + "Ġlaure ate", + "Ġdenomin ations", + "sum mary", + "h ler", + "S pect", + "ĠK laus", + "ĠBe ans", + "Ġins ur", + "ĠPA X", + "Ġfield er", + "ĠV et", + "ĠSp arrow", + "z ie", + "ĠS Q", + "ĠMond ays", + "ĠOff line", + "ĠLer ner", + "ĠExt ensions", + "Ire land", + "Ġpatron age", + "Ġcontrast ed", + "ĠMan ia", + "h irt", + "Mos cow", + "Ġcondem ns", + "ĠAn ge", + "Ġcomp osing", + "ĠPe pe", + "ĠP addock", + "Ġheter ogeneity", + "Ġide ologically", + "Ġf ishes", + "Ġcur sing", + "ĠR utherford", + "ĠFlo ating", + "ĠAm elia", + "Te a", + "Syn opsis", + "Ġstun ts", + "Ġbe ad", + "Ġstock ing", + "ĠM ILL", + "ob ook", + "mass ive", + "\\ <", + "Ġh ump", + "ĠPref erences", + "Engine Debug", + "ge ist", + "ĠNiet o", + "ome ver", + "ish y", + "eval uate", + "col onial", + "Altern ative", + "ĠGo Pro", + "ĠV ortex", + "ĠNET WORK", + "ans ky", + "Sec ure", + "ĠTh rust", + "Sn ake", + "Ġparcel s", + "Ġsam urai", + "Ġactress es", + "N ap", + "M F", + "ifer ation", + "Be er", + "5 23", + "ĠI ly", + "oint ment", + "P ing", + "Ġstri ped", + "ĠMell on", + "oss ession", + "Ġneut ron", + "end ium", + "Ġa ph", + "ĠFlav oring", + "Ġ38 3", + "Ġrespons iveness", + "ĠJ indal", + "ĠHitch cock", + "Den ver", + "ĠDRAG ON", + "sm anship", + "ĠDu pl", + "Ġs ly", + "Ġweb cam", + "ĠTw ain", + "ĠDar ling", + "ili ate", + "cons umer", + "D IT", + "Ġnames ake", + "Ġun orthodox", + "Ġfun er", + "ĠPL oS", + "ĠCONTR OL", + "ozy g", + "ogl obin", + "F ACE", + "ER G", + "ĠD ia", + "ĠF iesta", + "ce le", + "0 34", + "Ġencl ave", + "âĸ¬ âĸ¬", + "on ement", + "al ist", + "M and", + "Ġhome grown", + "ĠF ancy", + "Ġconcept ions", + "ĠCont ains", + "ure en", + "Ġreiter ate", + "Ġme ager", + "Ġinstall ments", + "Sp awn", + "6 27", + "Ġphot oc", + "ĠCab rera", + "ĠRos enthal", + "ĠLans ing", + "is ner", + "Ġinvest s", + "ĠUFO s", + "EX P", + "Hard ware", + "Ġtr agically", + "Ġconced es", + "ie ft", + "ch am", + "bor gh", + "ĠSch r", + "ĠMel anie", + "ĠH oy", + "Ġvisit ation", + "Ġid iosyncr", + "Ġfract ions", + "Ġfore skin", + "ob os", + "Ġpo aching", + "ĠVI EW", + "Ġstimul ates", + "ĠG ork", + "can on", + "M IC", + "ĠNem esis", + "ĠInd ra", + "ĠDM V", + "Ġ5 29", + "Ġinspect ing", + "Ġgrand ma", + "ĠW hedon", + "ĠSh ant", + "ĠP urg", + "ik an", + "ĠT eg", + "ĠCL R", + "z ac", + "Vict oria", + "ĠVer ify", + "ion ics", + "Ġpart ying", + "ĠM ou", + "col our", + "Ġtestim onies", + "l ations", + "Ġpress uring", + "hi ro", + "ac ers", + "Ġf id", + "ang ler", + "ĠCS I", + "Ġhere after", + "Ġdiss idents", + "report ing", + "iph any", + "che v", + "Ġsol itude", + "Ġl obe", + "Ġind is", + "Ġcred ential", + "re cent", + "ad ult", + "ĠNir vana", + "ĠFranch ise", + "L ayer", + "H yp", + "ĠBerks hire", + "Ġwill s", + "t if", + "Ġtot em", + "ĠJud ah", + "rep air", + "Inst ant", + "5 48", + "Ġemb assies", + "Ġbott leneck", + "Ġb ount", + "Ġtyp ew", + "ĠAl vin", + "j ing", + "im ilar", + "R ush", + "Ġbr im", + "ĠHEL P", + "A im", + "] '", + "Ġpass ively", + "Ġbound ed", + "ĠR ated", + "Ġcriminal ity", + "Ġbiom ark", + "Ġdisp atcher", + "ĠTow ards", + "Ġ+ ++", + "right eous", + "f rog", + "ĠP anc", + "C arter", + "0 32", + "æ© Ł", + "Ġult raviolet", + "ĠLic ensed", + "ĠT ata", + "ĠBl essing", + "ĠG AM", + "Ġchem ically", + "ĠSe af", + "ĠRE LE", + "ĠMerc enary", + "capital ist", + "Ġform ulations", + "Ġann ihilation", + "ĠVer b", + "ĠAr gon", + "Ġun loaded", + "Ġmorp hed", + "Ġconqu ering", + "back er", + "I ELD", + "Ġtheft s", + "Ġfront runner", + "ĠRoy ale", + "ĠFund amental", + "el ight", + "C hip", + "necess ary", + "ay n", + "ĠSl ip", + "Ġ4 48", + "cern ed", + "P ause", + "Ġshock ingly", + "ĠAB V", + "Ġcomp osure", + "7 33", + "ĠMotors port", + "ah ime", + "Mur ray", + "M ach", + "Ġgr ids", + "Ġdeb ian", + "Ġfurther more", + "Ġdexter ity", + "ĠCollect ions", + "os lov", + "il age", + "b j", + "ĠMont eneg", + "Ġstrut Connector", + "Ġmassac res", + "Ġbrief s", + "fet ched", + "uv ian", + "ol ition", + "Fail ure", + "emon ic", + "Ġfl ared", + "Ġclaim ant", + "Ġc ures", + "Ġgive aways", + "ĠSubst ance", + "al ions", + "Ġcr inge", + "ĠK ul", + "Ġarist ocracy", + "ĠUl ster", + "ol ated", + "h ousing", + "ĠM IS", + "Ġgl ared", + "ĠWil helm", + "ne eds", + "lam bda", + "build ers", + "ĠV IS", + "Ġradi ator", + "ĠGhost busters", + "Ġ4 36", + "act ual", + "Ġher ds", + "ç a", + "watch ing", + "Ġcounter ing", + "Ch arge", + "Ġchar red", + "Ġwar heads", + "Ġiod ine", + "ĠM acy", + "04 1", + "Ġdepart ures", + "ĠS ins", + "Ġdy ed", + "ĠConcept s", + "g ado", + "7 13", + "Ġquot ations", + "Ġg ist", + "ĠChrist y", + "Ġant igen", + "ĠHem p", + "ĠD rawn", + "ĠB arg", + "ez vous", + "Ġp aternity", + "Ġar du", + "ĠAnch orage", + "ĠR ik", + "Ġover loaded", + "ĠUs ername", + "ĠTam my", + "ĠN au", + "ĠCell ular", + "Ġw aning", + "Ġrod ent", + "ĠWor cester", + "il ts", + "ĠT ad", + "Ġdwell ings", + "Ġbull ish", + "4 31", + "Ġretali ate", + "Ġmig raine", + "ĠChev ron", + "CH ECK", + "Ġdon key", + "c rim", + "SP A", + "ĠAn alog", + "Ġmarqu ee", + "ĠHa as", + "B ir", + "ĠGD DR", + "ĠDownload s", + "Ġwill power", + "ĠFor th", + "ĠRecord ed", + "Ġimp ossibility", + "ĠLog ged", + "ĠFr anks", + "ĠR att", + "in itions", + "Ġclean ers", + "Ġsore ly", + "Ġflick ering", + "ĠEx amination", + "c atching", + "allow een", + "Ms g", + "Ġdun no", + "F a", + "Ġdys ph", + "c razy", + ".' '.", + "Ġmain line", + "Ġc s", + "Ġp tr", + "ĠW ally", + "ig un", + "95 1", + "ĠBig foot", + "f ights", + "Ġretrie ving", + "J r", + "Ġdupl ication", + "ĠExpl an", + "Ġrel ational", + "Ġqu aint", + "Ġbisc uits", + "Ġad o", + "Ġsh udder", + "Ġantid ote", + "blood ed", + "ks h", + "Ġsa uces", + "Ġrein vest", + "Ġdispens ary", + "ĠD iver", + "Ġ9 000", + "stud ent", + "Ġin separ", + "esc ap", + "Ġtodd lers", + "ĠGP IO", + "ĠAss ignment", + "head ers", + "Ġlack luster", + "Ġab ack", + "95 6", + "Ġtool bar", + "7 45", + "Ġo ust", + "Ġcontempl ation", + "ĠPRES IDENT", + "Ġ4 58", + "==== ==", + "Ġguarantee ing", + "ĠHe ist", + "ĠCann es", + "Ļ ½", + "Ġcollabor ator", + "ĠAm p", + "Ġg ou", + "ĠSH ALL", + "st ories", + "78 3", + "Ġmobil ized", + "Ġbro od", + "ĠL U", + "ĠðŁ ij", + "Ġref in", + "ĠAnthrop ology", + "v ind", + "ill i", + "Ġwarrant ies", + "ĠB abel", + "Ġsw ath", + "Ġc aches", + "Ġantagon ists", + "art ifacts", + "Ġhot ly", + "ĠSt arts", + "ĠG ö", + "z ag", + "!! !!!", + "Ġsc ourge", + "Ġcons piring", + "ru its", + "re verse", + "ĠShe en", + "ĠJes uit", + "ĠGiov anni", + "ad ies", + "Ġbutt ocks", + "ear cher", + "ac an", + "Ġvolley ball", + "Ġshroud ed", + "Ġscore board", + "b ats", + "ĠI PM", + "Ġass es", + "Ġde regulation", + "ĠTe legram", + "ĠReb oot", + "Ġ7 000", + "ĠCan ary", + "Ġk ernels", + "ĠFranç ois", + "ĠD uff", + "ĠP on", + "ĠLe ica", + "ĠGar min", + "Ġor phans", + "ĠClaud ia", + "Ġcal endars", + "ĠLe ilan", + "ent o", + "R ocket", + "Ġbr unch", + "ĠHaw king", + "ain ers", + "Ġsens ibilities", + "Ġk W", + "ĠK and", + "Ġre claimed", + "Ġinteresting ly", + "× ©", + "rom y", + "J M", + "ĠEnhance ment", + "b ush", + "Sk ip", + "Ġrapp ers", + "Ġg azing", + "p edia", + "ath lon", + "Rev olution", + "Ġsn ipers", + "Ġre verted", + "Ġconglomer ate", + "T erry", + "79 4", + "Ġhars her", + "Ġdes olate", + "ĠHit man", + "Comm ission", + "Ġ( /", + "âĢ¦ .\"", + "Com par", + "Ġampl ification", + "om inated", + "Ġreg ress", + "ĠColl ider", + "Ġinform ants", + "Ġg azed" + ] + } +} \ No newline at end of file diff --git a/tests/data/sample_prompt.txt b/tests/data/sample_prompt.txt new file mode 100644 index 000000000..9bf4046fa --- /dev/null +++ b/tests/data/sample_prompt.txt @@ -0,0 +1 @@ +Hello, I'm a language model \ No newline at end of file diff --git a/tests/model/test_fused_kernels.py b/tests/model/test_fused_kernels.py index b6fc56286..c283cd41e 100644 --- a/tests/model/test_fused_kernels.py +++ b/tests/model/test_fused_kernels.py @@ -13,7 +13,7 @@ # limitations under the License. import math - +import pytest import torch from transformers import BertTokenizer @@ -29,6 +29,7 @@ ) +@pytest.mark.xfail(reason="ModuleNotFoundError: No module named 'scaled_masked_softmax_cuda'") def test_load_fused_kernels(): try: import scaled_masked_softmax_cuda @@ -41,6 +42,7 @@ def test_load_fused_kernels(): raise e +@pytest.mark.xfail(reason="SystemExit: None") def test_fused_softmax(): from megatron.model.fused_softmax import FusedScaleMaskSoftmax, SoftmaxFusionTypes from megatron.model.gpt2_model import ( @@ -142,6 +144,7 @@ def test_fused_softmax(): ) +@pytest.mark.xfail(reason="SystemExit: None") def test_fused_upper_triangle_mask_softmax(): from megatron.model.gpt2_model import ( gpt2_attention_mask_func as attention_mask_func, diff --git a/tests/model/test_model_instantiation.py b/tests/model/test_model_instantiation.py index 37654c34c..4bbe15829 100644 --- a/tests/model/test_model_instantiation.py +++ b/tests/model/test_model_instantiation.py @@ -20,7 +20,7 @@ import torch import os -from ..common import distributed_test, model_setup, clear_test_dirs, parametrize, binary +from tests.common import distributed_test, model_setup, clear_test_dirs, parametrize, binary PARAMS_TO_TEST = { "pipe_parallel_size,model_parallel_size,world_size": [ @@ -68,7 +68,7 @@ PARAMS_TO_TEST, max_tests=int(os.getenv("MAX_TESTCASES", 50)), seed=None ) - +@pytest.mark.xfail(reason="Either fused kernels are not installed, or Cannot re-initialize CUDA in forked subprocess'") @pytest.mark.parametrize("param_dict", parameters, ids=names) def test_instantiate(param_dict): @distributed_test(world_size=param_dict.pop("world_size", 2)) @@ -94,7 +94,8 @@ def wrapper(): ) -@pytest.mark.parametrize("param_dict", parameters, ids=names) +@pytest.mark.xfail(reason="Either fused kernels are not installed, or 'Cannot re-initialize CUDA in forked subprocess'") +@pytest.mark.parametrize("param_dict", opt_params, ids=opt_name) def test_instantiate_optimizers(param_dict): @distributed_test(world_size=2) def wrapper(): diff --git a/tests/model/test_model_train.py b/tests/model/test_model_train.py index be5d8fccc..f9ac42d6c 100644 --- a/tests/model/test_model_train.py +++ b/tests/model/test_model_train.py @@ -13,177 +13,63 @@ # limitations under the License. """ -instantiate models, save checkpoints, load checkpoints, compare loaded parameters to saved parameters and compare forward pass outputs +Instantiate models, run for a small number of iterations, and check that training loss improves. -This tests contain a relatively large number of functions. They are not split into separate tests because a lot of boilerplate (e.g. instantiate model) needs -to run in order to perform follow up tests. Joining in one test reduces runtime at the expense of decreased transparency of test results in case of failures. +Performs testing using a linear grid search over important parameter values, so that each setting that differs from the base is tested in isolation. + +Potentially use fuzzing to test parameters in combination. """ import pytest - -from ..common import distributed_test, clear_test_dirs, model_setup, binary, parametrize - -import torch -import os +import train +from copy import deepcopy +from unittest.mock import patch +from megatron.neox_arguments import NeoXArgs +from tests.common import simulate_deepy_env, BASE_CONFIG PARAMS_TO_TEST = { - "norm,pos_emb,activation": [ - ["layernorm", "learned", "gelu"], - ["rmsnorm", "rotary", "relu"], - ["scalenorm", "sinusoidal", "mish"], - ["layernorm", "rpe", "geglu"], - ["rmsnorm", "none", "swish"], - ], - "pipe_parallel_size,model_parallel_size": [[0, 1], [1, 2], [0, 2]], - "no_weight_tying": binary, - "attention_config,num_layers": [ - [[[["global"], "all"]], 2], - [[[["local", "global"], "all"]], 12], - [[[["sparse_variable", "global"], "all"]], 12], - [[[["sparse_fixed", "global"], "all"]], 12], - ], # the sparse attention models need more layers to be stable - "scaled_upper_triang_masked_softmax_fusion,bias_gelu_fusion": [ - [True, False], - [False, True], - ], - "checkpoint_activations": binary, - "log_gradient_noise_scale": [True], - "sparsity_config": [ - { - "block": 16, # block size - "num_local_blocks": 32, - } - ], -} - - -parameters, names = parametrize( - PARAMS_TO_TEST, max_tests=int(os.getenv("MAX_TESTCASES", 50)), seed=None -) - - -@pytest.mark.skip -@pytest.mark.parametrize("param_dict", parameters, ids=names) -def test_train(param_dict): - @distributed_test(world_size=2) - def wrapper(): - run_train_test(param_dict=param_dict) - - wrapper() - - -BF16_PARAMS_TO_TEST = { - "fp16,fp32_allreduce": [ - [ - { - "enabled": True, - "type": "bfloat16", - "loss_scale": 0, - "loss_scale_window": 1000, - "hysteresis": 2, - "min_loss_scale": 1, - }, - True, - ], - [ - { - "enabled": True, - "loss_scale": 0, - "loss_scale_window": 1000, - "hysteresis": 2, - "min_loss_scale": 1, - }, - False, - ], - ] -} - -parameters, names = parametrize( - BF16_PARAMS_TO_TEST, max_tests=int(os.getenv("MAX_TESTCASES", 50)), seed=None -) - - -@pytest.mark.skip -@pytest.mark.parametrize("param_dict", parameters, ids=names) -def test_train_bf16(param_dict): - @distributed_test(world_size=2) - def wrapper(): - run_train_test(param_dict=param_dict) - - wrapper() - - -OPTIMIZER_PARAMS = { - "optimizer": [ - {"type": "adam", "params": {"lr": 0.0006}}, - {"type": "onebitadam", "params": {"lr": 0.0006}}, - {"type": "cpu_adam", "params": {"lr": 0.0006}}, - {"type": "cpu_torch_adam", "params": {"lr": 0.0006}}, - {"type": "sm3", "params": {"lr": 0.0006}}, - {"type": "lion", "params": {"lr": 0.0006}}, - {"type": "madgrad_wd", "params": {"lr": 0.0006}}, - ] + "gpt_j_residual": [True, False], + "mlp_type": ["llama", "regular"], + "pos_emb": ['learned', 'rotary', 'sinusoidal', 'rpe', 'alibi', 'none'], + "attention_config": + ["global", "local", "sparse_fixed", "sparse_variable", "bigbird", "bslongformer", "gmlp", "amlp", "flash"], + "hidden_dropout": [0, 0.1], + "weight_decay": [0, 0.1], + "use_bias_in_attn_linear": [True, False], + "use_bias_in_norms": [True, False], + "precision": ["fp16", "fp32", "bfloat16"] } -opt_params, opt_name = parametrize( - OPTIMIZER_PARAMS, max_tests=int(os.getenv("MAX_TESTCASES", 50)), seed=None -) - - -@pytest.mark.skip -@pytest.mark.parametrize("param_dict", parameters, ids=names) -def test_train_optimizers(param_dict): - @distributed_test(world_size=2) - def wrapper(): - run_train_test(param_dict=param_dict) - - wrapper() - - -def run_train_test(yaml_list=None, param_dict=None): - from megatron.training import train_step - from megatron.utils import Timers - max_steps = 64 - - model, optimizer, lr_scheduler, args_loaded = model_setup(yaml_list, param_dict) - - model.train() - - timers = Timers(use_wandb=False, tensorboard_writer=None) - - # generate some random data on which we can overfit - # context size of data is model seq_len + 1 in order to compute loss - data_list = list() - context_tokens_tensor = torch.randint( - 0, args_loaded.padded_vocab_size, (4, args_loaded.seq_length + 1) - ).to(torch.int64) - for i in range(max_steps): - data_list.append({"text": context_tokens_tensor.clone()}) - data_iterator = iter(data_list) - - # run train_step until the loss decreases - losses = list() - for i in range(max_steps): - loss_dict, skipped_iter = train_step( - neox_args=args_loaded, - timers=timers, - data_iterator=data_iterator, - model=model, - optimizer=optimizer, - lr_scheduler=lr_scheduler, +keys_to_test = PARAMS_TO_TEST.keys() + +@pytest.mark.parametrize("key, value", [(key, value) for key in keys_to_test for value in PARAMS_TO_TEST[key]]) +def test_model_training_options(monkeypatch, key, value): + # TODO: Possibly add testing over world_size=2 back in + neox_args = NeoXArgs.from_dict(BASE_CONFIG) + if getattr(neox_args,key) == value: + pytest.skip("Skipping to avoid redundancy as no change in base config") + if key == "precision" and value == "bfloat16": + pytest.xfail(reason="Assumes that ZeRO optimization stage has been set in the YAML") + param_dict = {key: value} + run_train_test(monkeypatch, overwrite_values=param_dict) + + +def run_train_test(monkeypatch, overwrite_values: dict): + max_train_iters = 32 + checkpoint_args = {"train_iters": max_train_iters} + overwrite_values = checkpoint_args + input_args = ["train.py", "tests/config/test_setup.yml"] + deepspeed_main_args = simulate_deepy_env(monkeypatch, input_args) + + # Train model, whilst patching collect_loss_for_unit_test to track model loss at each step + loss_per_iteration = [] + with patch( + "megatron.training.collect_loss_for_unit_test", + side_effect=lambda x: loss_per_iteration.append(x), + ): + train.main(input_args=deepspeed_main_args, overwrite_values=overwrite_values) + assert len(loss_per_iteration) == max_train_iters, "patching should have collected loss values from each train step" + + # loss should have decreased by now (otherwise increasing the max_steps parameter could have the testcase pass) + assert min(loss_per_iteration) < loss_per_iteration[0], ( + "training loss should improve within " + str(max_train_iters) + " steps" ) - losses.append(loss_dict["lm_loss"]) - if len(losses) >= 2: - if torch.isnan(losses[-1]): - continue - if torch.isnan(losses[-2]): - continue - if losses[-1] < losses[-2]: - return # all good - - # loss should have decreased by now (otherwise increasing the max_steps parameter could have the testcase pass) - assert losses[-1] < losses[-2], ( - "run_train_test() loss going down within " + str(max_steps) + " steps" - ) - - if torch.distributed.get_world_size() == 1 or torch.distributed.get_rank() == 0: - clear_test_dirs() diff --git a/tests/pytest.ini b/tests/pytest.ini index ad5e01747..06dc59626 100644 --- a/tests/pytest.ini +++ b/tests/pytest.ini @@ -15,3 +15,6 @@ [pytest] markers = cpu: marks tests that can be run on cpu +filterwarnings = + ignore::DeprecationWarning:pkg_resources.* + ignore::DeprecationWarning:torch.* \ No newline at end of file diff --git a/tests/test_configs/test_train_base.yml b/tests/test_configs/test_train_base.yml index 7c99f47f2..9615d2941 100644 --- a/tests/test_configs/test_train_base.yml +++ b/tests/test_configs/test_train_base.yml @@ -86,7 +86,7 @@ "distributed_backend": "nccl", "lr_decay_style": "cosine", "warmup": 0.01, - "save_interval": 10000, + "checkpoint_factor": 10000, "eval_interval": 1000, "eval_iters": 10, diff --git a/tests/unit/__init__.py b/tests/unit/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/tests/unit/test_arguments.py b/tests/unit/test_arguments.py new file mode 100644 index 000000000..4bbda398e --- /dev/null +++ b/tests/unit/test_arguments.py @@ -0,0 +1,41 @@ +# Copyright (c) 2021, EleutherAI +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from megatron.neox_arguments import NeoXArgs +from tests.common import BASE_CONFIG, distributed_test + + +def test_main_constructor(): + input_args = ['train.py', 'tests/config/test_setup.yml'] + neox_args = NeoXArgs.consume_deepy_args(input_args) + deepspeed_main_args = neox_args.get_deepspeed_main_args() + neox_args = NeoXArgs.consume_neox_args(input_args=deepspeed_main_args) + neox_args.configure_distributed_args() + + +def test_constructor_from_ymls(): + @distributed_test(world_size=[1,2]) + def _test_constructor_from_ymls(): + neox_args = NeoXArgs.from_ymls(['tests/config/test_setup.yml']) + neox_args.configure_distributed_args() + + _test_constructor_from_ymls() + + +def test_constructor_from_dict(): + @distributed_test(world_size=[1,2]) + def _test_constructor_from_dict(): + neox_args = NeoXArgs.from_dict(BASE_CONFIG) + + _test_constructor_from_dict() diff --git a/tests/unit/test_dependencies.py b/tests/unit/test_dependencies.py new file mode 100644 index 000000000..d870921e8 --- /dev/null +++ b/tests/unit/test_dependencies.py @@ -0,0 +1,7 @@ +import pytest +from megatron import fused_kernels + + +def test_fused_kernels(): + pytest.xfail(reason="Fused kernels require manual intervention to install") + fused_kernels.load_fused_kernels() diff --git a/tests/unit/test_format_conversion_scripts.py b/tests/unit/test_format_conversion_scripts.py new file mode 100644 index 000000000..44465c6ef --- /dev/null +++ b/tests/unit/test_format_conversion_scripts.py @@ -0,0 +1,19 @@ + +import pytest +from tools.ckpts import convert_sequential_to_hf +from tests.common import simulate_deepy_env, save_random_model +from megatron.neox_arguments.neox_args import NeoXArgsTokenizer + +# Test is failing; possibly we resolve by using the word embedding weights in the 'layer_00-model_00-model_states.pt' file? +@pytest.mark.xfail(reason="Failing to find 'word_embeddings.weight' in state_dict['module'] from the 'mp_rank_00_model_states.pt' file") +def test_gpt_neox_to_huggingface(monkeypatch, tmpdir, tmp_path): + # Generate random GPT-NEOX model, check we can convert to hf format + model_dir = str(tmpdir) + input_args = ["train.py", "tests/config/test_setup.yml"] + deepspeed_main_args = simulate_deepy_env(monkeypatch, input_args) + save_random_model(deepspeed_main_args, model_dir, train_iters=1) + + # Generate output + script_args = ["--config_file", "tests/config/test_setup.yml", "--input_dir", model_dir+"/global_step1", "--output_dir", model_dir] + overwrite_values = {"tokenizer_type": NeoXArgsTokenizer.tokenizer_type} + convert_sequential_to_hf.main(input_args=script_args, overwrite_values=overwrite_values) \ No newline at end of file diff --git a/tests/unit/test_launcher_scripts.py b/tests/unit/test_launcher_scripts.py new file mode 100644 index 000000000..38c42c44d --- /dev/null +++ b/tests/unit/test_launcher_scripts.py @@ -0,0 +1,111 @@ +# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved. + +import pytest +from tools.datasets import preprocess_data +import train +import generate +import evaluate +from megatron.neox_arguments import NeoXArgs +from tests.common import simulate_deepy_env, save_random_model + +@pytest.fixture( + params=[ + "HFGPT2Tokenizer", + "HFTokenizer", + "GPT2BPETokenizer", + "CharLevelTokenizer", + "TiktokenTokenizer", + "SPMTokenizer", + ] +) +def tokenizer_type(request): + return request.param + +@pytest.fixture(params=[None, "tests/data/sample_prompt.txt"]) +def sample_input_file(request): + return request.param + +@pytest.mark.cpu +def test_preprocess_data(tokenizer_type): + if tokenizer_type == "SPMTokenizer": + pytest.xfail( + reason="Expected easy resolution: Need to provide a valid model file from somewhere" + ) + vocab_file = { + "HFTokenizer": "tests/data/hf_cache/tokenizer/gpt2.json", + "TiktokenTokenizer": "cl100k_base", + "HFGPT2Tokenizer": "gpt2", + } + input_args = [ + "--input", + "./tests/data/enwik8_first100.txt", + "--output-prefix", + "./tests/data/enwik8_first100", + "--vocab", + vocab_file.get(tokenizer_type, "./data/gpt2-vocab.json"), + "--tokenizer-type", + tokenizer_type, + "--merge-file", + "./data/gpt2-merges.txt", + "--append-eod", + ] + preprocess_data.main(input_args) + + +def test_generate(monkeypatch, tmpdir, tmp_path, sample_input_file): + model_dir = str(tmpdir) + sample_output_file = str(tmp_path) + ".txt" + input_args = [ + "generate.py", + "tests/config/test_setup.yml" + ] + deepspeed_main_args = simulate_deepy_env(monkeypatch, input_args) + save_random_model(deepspeed_main_args, model_dir) + + # Generate output + generate_args = { + "load": model_dir, + "sample_input_file": sample_input_file, + "sample_output_file": sample_output_file, + } + generate.main(input_args=deepspeed_main_args, overwrite_values=generate_args) + + +def test_evaluate(monkeypatch, tmpdir, tmp_path): + model_dir = str(tmpdir) + sample_output_file = str(tmp_path) + input_args = [ + "generate.py", + "tests/config/test_setup.yml" + ] + deepspeed_main_args = simulate_deepy_env(monkeypatch, input_args) + save_random_model(deepspeed_main_args, model_dir) + + # Generate output + evaluate_args = { + "load": model_dir, + "eval_tasks": ["lambada"], # ["lambada", "hellaswag", "piqa", "sciq"], + "eval_results_prefix": sample_output_file, + } + evaluate.main(input_args=deepspeed_main_args, overwrite_values=evaluate_args) + + +def test_finetuning(monkeypatch, tmpdir, tmp_path): + # Save random model, load random model, keep training + # TODO: add mocking to check that we're not ignoring the previously loaded model + model_dir = str(tmpdir) + sample_output_file = str(tmp_path) + input_args = ["generate.py", "tests/config/test_setup.yml"] + deepspeed_main_args = simulate_deepy_env(monkeypatch, input_args) + save_random_model(deepspeed_main_args, model_dir) + + # Generate output + finetune_args = {"load": model_dir, "finetune": True} + train.main(input_args=deepspeed_main_args, overwrite_values=finetune_args) + + +def test_train_launcher(monkeypatch): + input_args = ["train.py", "tests/config/test_setup.yml"] + deepspeed_main_args = simulate_deepy_env(monkeypatch, input_args) + train.main(input_args=deepspeed_main_args) + diff --git a/tests/unit/test_tokenizer.py b/tests/unit/test_tokenizer.py new file mode 100644 index 000000000..b19501687 --- /dev/null +++ b/tests/unit/test_tokenizer.py @@ -0,0 +1,9 @@ +import pytest +from megatron.tokenizer import train_tokenizer + +@pytest.mark.cpu +def test_train_tokenizer(): + input_args = ["--json_input_dir", + "./tests/data/enwik8_first100.txt", "--tokenizer_output_path", ""] + args = train_tokenizer.parse_args(input_args) + train_tokenizer.main(args) \ No newline at end of file diff --git a/tests/unit/test_url_accessibility.py b/tests/unit/test_url_accessibility.py new file mode 100644 index 000000000..c583f6296 --- /dev/null +++ b/tests/unit/test_url_accessibility.py @@ -0,0 +1,24 @@ +import pytest +import requests + +from tools.datasets.corpora import DATA_DOWNLOADERS + + +def check_url_accessible(url): + try: + response = requests.head(url, timeout = 5) + response.raise_for_status() + return True + except requests.exceptions.RequestException as e: + print(f"Error: Unable to access URL - {e}") + return False + +@pytest.mark.cpu +@pytest.mark.parametrize("dataset_name", list(DATA_DOWNLOADERS.keys())) +def test_url_accessibility(dataset_name): + if dataset_name == "pass": + return + elif not dataset_name == "enwik8": + pytest.xfail() + for url in DATA_DOWNLOADERS[dataset_name].urls: + assert check_url_accessible(url) diff --git a/tools/ckpts/README.md b/tools/ckpts/README.md index 778f51b0a..1b6a1c55e 100644 --- a/tools/ckpts/README.md +++ b/tools/ckpts/README.md @@ -24,7 +24,7 @@ options: ## HuggingFace Scripts ### `convert_hf_to_sequential.py` -A script for converting publicly available Huggingface (HF) checkpoints NeoX format. +A script for converting publicly available Huggingface (HF) checkpoints to NeoX format. Note that this script requires access to corresponding config files for equivalent NeoX models to those found in Hugging face. diff --git a/tools/ckpts/convert_sequential_to_hf.py b/tools/ckpts/convert_sequential_to_hf.py index 69ad58786..2059bdb96 100644 --- a/tools/ckpts/convert_sequential_to_hf.py +++ b/tools/ckpts/convert_sequential_to_hf.py @@ -301,12 +301,7 @@ def convert(input_checkpoint_path, loaded_config, output_checkpoint_path): return hf_model -if __name__ == "__main__": - - # before running script: - # `pip install --upgrade transformers` - # `huggingface-cli login` - # +def main(input_args=None, overwrite_values=None): from huggingface_hub import create_repo, HfApi parser = argparse.ArgumentParser( @@ -332,10 +327,12 @@ def convert(input_checkpoint_path, loaded_config, output_checkpoint_path): action="store_true", help="Set to true in order to upload to the HF Hub directly.", ) - args = parser.parse_args() + args = parser.parse_args(input_args) with open(args.config_file) as f: loaded_config = yaml.full_load(f) + if overwrite_values: + loaded_config.update(overwrite_values) hf_model = convert(args.input_dir, loaded_config, args.output_dir) @@ -373,3 +370,12 @@ def convert(input_checkpoint_path, loaded_config, output_checkpoint_path): repo_id=repo_name, repo_type="model", ) + + +if __name__ == "__main__": + + # before running script: + # `pip install --upgrade transformers` + # `huggingface-cli login` + # + main() \ No newline at end of file diff --git a/tools/datasets/preprocess_data.py b/tools/datasets/preprocess_data.py index e780bec34..74ff251e0 100644 --- a/tools/datasets/preprocess_data.py +++ b/tools/datasets/preprocess_data.py @@ -26,7 +26,9 @@ import numpy as np sys.path.append( - os.path.abspath(os.path.join(os.path.dirname(__file__), os.path.pardir, os.path.pardir)) + os.path.abspath( + os.path.join(os.path.dirname(__file__), os.path.pardir, os.path.pardir) + ) ) import time import tqdm @@ -61,7 +63,7 @@ def encode(self, text): return ids, len(text) -def get_args(): +def get_args(input_args=None): parser = argparse.ArgumentParser() group = parser.add_argument_group(title="input data") group.add_argument( @@ -138,7 +140,7 @@ def get_args(): default=100, help="Interval between progress updates", ) - args = parser.parse_args() + args = parser.parse_args(input_args) args.keep_empty = False # some default/dummy values for the tokenizer @@ -168,8 +170,8 @@ def yielder(fname, semaphore): yield from yielder(fname, semaphore) -def main(): - args = get_args() +def main(input_args=None): + args = get_args(input_args) encoder = Encoder(args) tokenizer = build_tokenizer(args) print(f"Vocab size: {tokenizer.vocab_size}") diff --git a/train.py b/train.py index 358ab3a81..24d72a7ff 100644 --- a/train.py +++ b/train.py @@ -19,9 +19,12 @@ from megatron.neox_arguments import NeoXArgs from megatron.training import pretrain -if __name__ == "__main__": - neox_args = NeoXArgs.consume_neox_args() +def main(input_args=None, overwrite_values=None): + neox_args = NeoXArgs.consume_neox_args(input_args=input_args, overwrite_values=overwrite_values) neox_args.configure_distributed_args() neox_args.build_tokenizer() # tokenizer needs to be build in training in order to set the padding vocab neox_args.initialize_tensorboard_writer() # is initialized if tensorboard directory is defined pretrain(neox_args=neox_args) + +if __name__ == "__main__": + main() From a2b202034f6cebee217aaa726ba760c10358283b Mon Sep 17 00:00:00 2001 From: jaimemcc <99298642+jaimemcc-intel@users.noreply.github.com> Date: Mon, 4 Dec 2023 14:29:50 -0800 Subject: [PATCH 14/99] Patch coverity scan (#1090) * Update coverity_scan.yml * Update coverity_scan.yml * Update coverity_scan.yml * Update coverity_scan.yml * Update coverity_scan.yml * Update coverity_scan.yml * Update coverity_scan.yml * Update coverity_scan.yml update build command to avert empty cwd in build metrics * Update coverity_scan.yml * Update coverity_scan.yml adding verbose to debug curl * Update coverity_scan.yml debug print trace to examine build metrics xml * Update coverity_scan.yml * Update coverity_scan.yml * Update coverity_scan.yml * Update coverity_scan.yml * Update coverity_scan.yml * Update coverity_scan.yml * Update NeoXArgs docs automatically * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions Co-authored-by: Quentin Anthony --- .github/workflows/coverity_scan.yml | 39 ++++++++++++++++++----------- configs/neox_arguments.md | 8 +++--- 2 files changed, 28 insertions(+), 19 deletions(-) diff --git a/.github/workflows/coverity_scan.yml b/.github/workflows/coverity_scan.yml index 1a5a420a1..a79d0d8fb 100644 --- a/.github/workflows/coverity_scan.yml +++ b/.github/workflows/coverity_scan.yml @@ -23,29 +23,38 @@ jobs: steps: - uses: actions/checkout@v2 + with: + path: gpt-neox - name: Install utils run: | - apt update -y && apt upgrade -y - apt install curl jq wget -y + sudo apt update -y && sudo apt upgrade -y + sudo apt install curl jq wget -y - name: Coverity Download run: | - wget https://scan.coverity.com/download/linux64 --post-data "token=$COVERITY_TOKEN&project=EleutherAI%2Fgpt-neox" -O coverity_tool.tgz - $GITHUB_WORKSPACE/bin/cov-configure --python - $GITHUB_WORKSPACE/bin/cov-configure --gcc + wget https://scan.coverity.com/download/linux64 --post-data "token=$COVERITY_TOKEN&project=$COVERITY_PROJECT" -O coverity_tool.tgz --no-verbose + mkdir $GITHUB_WORKSPACE/coverity && tar xvf coverity_tool.tgz -C $GITHUB_WORKSPACE/coverity --strip-components=1 + $GITHUB_WORKSPACE/coverity/bin/cov-configure --python + $GITHUB_WORKSPACE/coverity/bin/cov-configure --gcc - - name: Coverity Scan + - name: Coverity Scan and Upload run: | set -x - $GITHUB_WORKSPACE/bin/cov-build --dir cov-int --no-command --fs-capture-search $GITHUB_WORKSPACE - - - name: Coverity Upload - run: | + pushd $GITHUB_WORKSPACE + cd $GITHUB_WORKSPACE/gpt-neox + $GITHUB_WORKSPACE/coverity/bin/cov-build --dir $GITHUB_WORKSPACE/cov-int --no-command --fs-capture-search ./ + popd tar caf build-results.bz2 cov-int - curl --form token=$COV_PASSPHRASE \ + curl --form token=$COVERITY_TOKEN \ --form email=$COV_USER \ - --form file=@GITHUB_WORKSPACE/build-results.bz2 \ - --form version="Version" \ - --form description="Build" \ - https://scan.coverity.com/builds?project=EleutherAI%2Fgpt-neox + --form file=@build-results.bz2 \ + --form version="${{ inputs.build_version }}" \ + --form description="${{ inputs.build_description }}" \ + https://scan.coverity.com/builds?project=$COVERITY_PROJECT + + - name: Upload Scan Build as Artifact + uses: actions/upload-artifact@v3 + with: + name: coverity-build-${{ github.sha }} + path: build-results.bz2 diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index bc2e8fc57..8188a79f6 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 2da1083 + Default = efaee8d current git hash of repository @@ -800,7 +800,7 @@ Misc. Arguments -- **do_train**: int +- **do_train**: bool Default = None @@ -808,7 +808,7 @@ Misc. Arguments -- **do_valid**: int +- **do_valid**: bool Default = None @@ -816,7 +816,7 @@ Misc. Arguments -- **do_test**: int +- **do_test**: bool Default = None From 050f560e8d0878d3e0af9d8cdffec02d4fdc9401 Mon Sep 17 00:00:00 2001 From: Stella Biderman Date: Wed, 6 Dec 2023 15:42:27 -0500 Subject: [PATCH 15/99] Corrects FLOPs formula as per 1093 (#1094) * Update logging.py * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions --- configs/neox_arguments.md | 2 +- megatron/logging.py | 6 ++---- 2 files changed, 3 insertions(+), 5 deletions(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 8188a79f6..6a9d02c9d 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = efaee8d + Default = bb1b145 current git hash of repository diff --git a/megatron/logging.py b/megatron/logging.py index 3a40864b5..afde680a5 100644 --- a/megatron/logging.py +++ b/megatron/logging.py @@ -92,17 +92,15 @@ def get_flops(neox_args, iter_time_s) -> float: hidden_size = neox_args.hidden_size num_layers = neox_args.num_layers ckpt_activations_factor = 4 if neox_args.checkpoint_activations else 3 - flops_calc1 = ( + flops_per_iteration = ( 24 * ckpt_activations_factor * batch_size * seq_len * num_layers * (hidden_size**2) - * (1.0 + (seq_len / (6.0 * hidden_size))) + * (1.0 + (seq_len / (6.0 * hidden_size)) + (vocab_size / (16.0 * num_layers * hidden_size))) ) - flops_calc2 = vocab_size / (16.0 * num_layers * hidden_size) - flops_per_iteration = flops_calc1 + flops_calc2 return flops_per_iteration / (iter_time_s * world_size) From f19b2eca1e0eb52c1307a2a9e671bd3b6ba76db6 Mon Sep 17 00:00:00 2001 From: Stella Biderman Date: Tue, 19 Dec 2023 16:11:33 -0500 Subject: [PATCH 16/99] Update CODEOWNERS Remove myself as a code owner as I shouldn't be approving PRs. --- .github/CODEOWNERS | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS index f4555efb4..3cb082e80 100644 --- a/.github/CODEOWNERS +++ b/.github/CODEOWNERS @@ -1 +1 @@ -* @EleutherAI/pm-gptneo +* @Quentin-Anthony From 07166da70870424cdf6d7971a75207bb2763fdbd Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Wed, 20 Dec 2023 14:56:54 -0800 Subject: [PATCH 17/99] Bump transformers from 4.30.2 to 4.36.0 in /requirements (#1097) Bumps [transformers](https://github.com/huggingface/transformers) from 4.30.2 to 4.36.0. - [Release notes](https://github.com/huggingface/transformers/releases) - [Commits](https://github.com/huggingface/transformers/compare/v4.30.2...v4.36.0) --- updated-dependencies: - dependency-name: transformers dependency-type: direct:production ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- requirements/requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements/requirements.txt b/requirements/requirements.txt index 914664c03..a94bf9c21 100644 --- a/requirements/requirements.txt +++ b/requirements/requirements.txt @@ -12,4 +12,4 @@ sentencepiece six tiktoken>=0.1.2 tokenizers>=0.12.1 -transformers==4.30.2 +transformers==4.36.0 From 9283effb37e1b72acef265d17cbe37881441e88c Mon Sep 17 00:00:00 2001 From: Stella Biderman Date: Wed, 20 Dec 2023 17:57:37 -0500 Subject: [PATCH 18/99] Pins old DeeperSpeed until bug is fixed (#1095) * Pins old DeeperSpeed until bug is fixed There is a bug in upstream DeepSpeed detailed [here](https://github.com/microsoft/DeepSpeed/issues/4781) that we didn't catch before synching with main. This pins the prior commit so the bug doesn't impact users. * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions --- configs/neox_arguments.md | 2 +- requirements/requirements.txt | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 6a9d02c9d..6003d15cc 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = bb1b145 + Default = a279fc8 current git hash of repository diff --git a/requirements/requirements.txt b/requirements/requirements.txt index a94bf9c21..137da4d81 100644 --- a/requirements/requirements.txt +++ b/requirements/requirements.txt @@ -1,5 +1,5 @@ best_download -git+https://github.com/EleutherAI/DeeperSpeed.git#egg=deepspeed +git+https://github.com/EleutherAI/DeeperSpeed.git@b9260436e7da3e297fc6bedfd27d9e69fbba6f5c#egg=deepspeed ftfy>=6.0.1 git+https://github.com/EleutherAI/lm_dataformat.git@4eec05349977071bf67fc072290b95e31c8dd836 huggingface_hub>=0.11.0 From 9eef954432cdfae128a9fd77e0faf91e8804f2fa Mon Sep 17 00:00:00 2001 From: Stella Biderman Date: Fri, 22 Dec 2023 03:36:50 -0500 Subject: [PATCH 19/99] Update README.md --- README.md | 12 ++++++++++-- 1 file changed, 10 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 528447835..28bdbafa8 100644 --- a/README.md +++ b/README.md @@ -507,10 +507,12 @@ GPT-NeoX has been used by academic and industry researchers for a variety of hig EleutherAI and our collaborators have used it in the following publications: - Sid Black, Stella Biderman, Eric Hallahan, Quentin Anthony, Leo Gao, Laurence Golding, Horace He, Connor Leahy, McDonell, Jason Phang, Michael Pieler, Prashanth, Shivanshu Purohit, Laria Reynolds, Jon Tow, Ben Wang, and Samuel Weinbach. "[GPT-NeoX-20B: An Open-Source Autoregressive Language Model](https://arxiv.org/abs/2204.06745)." In *Proceedings of the ACL Workshop on Challenges \& Perspectives in Creating Large Language Models* (2022). - Stella Biderman, Hailey Schoelkopf, Quentin Anthony, Herbie Bradley, Kyle O’Brien, Eric Hallahan, Mohammad Aflah Khan et al. "[Pythia: A suite for analyzing large language models across training and scaling](https://arxiv.org/abs/2304.01373)." In _International Conference on Machine Learning_, pp. 2397-2430. PMLR (2023). - - Zhangir Azerbayev, Bartosz Piotrowski, Hailey Schoelkopf, Edward W. Ayers, Dragomir Radev, and Jeremy Avigad. "[Proofnet: Autoformalizing and formally proving undergraduate-level mathematics](https://arxiv.org/abs/2302.12433). *arXiv preprint arXiv:2302.12433* (2023). + - Zhangir Azerbayev, Bartosz Piotrowski, **Hailey Schoelkopf**, Edward W. Ayers, Dragomir Radev, and Jeremy Avigad. "[Proofnet: Autoformalizing and formally proving undergraduate-level mathematics](https://arxiv.org/abs/2302.12433). *arXiv preprint arXiv:2302.12433* (2023). - Stella Biderman, USVSN Sai Prashanth, Lintang Sutawika, Hailey Schoelkopf, Quentin Anthony, Shivanshu Purohit, and Edward Raff. "[Emergent and predictable memorization in large language models.](https://arxiv.org/abs/2304.11158)" *arXiv preprint arXiv:2304.11158* (2023). - Hyunwoong Ko, Kichang Yang, Minho Ryu, Taekyoon Choi, Seungmu Yang, and Sungho Park. "[A Technical Report for Polyglot-Ko: Open-Source Large-Scale Korean Language Models](https://arxiv.org/abs/2306.02254)." *arXiv preprint arXiv:2306.02254* (2023). - - Kshitij Gupta, Benjamin Thérien, Adam Ibrahim, Mats Leon Richter, Quentin Anthony, Eugene Belilovsky, Irina Rish, and Timothée Lesort. "[Continual Pre-Training of Large Language Models: How to re-warm your model?](https://arxiv.org/abs/2308.04014)" In _Workshop on Efficient Systems for Foundation Models @ ICML_ (2023). + - Kshitij Gupta, Benjamin Thérien, Adam Ibrahim, Mats Leon Richter, **Quentin Anthony**, Eugene Belilovsky, Irina Rish, and Timothée Lesort. "[Continual Pre-Training of Large Language Models: How to re-warm your model?](https://arxiv.org/abs/2308.04014)" In _Workshop on Efficient Systems for Foundation Models @ ICML_ (2023). + - **Zhangir Azerbayev**, **Hailey Schoelkopf**, Keiran Paster, Marco Dos Santos, Stephen McAleer, Albert Q Jiang, Jia Deng, **Stella Biderman**, and Sean Welleck. "[Llemma: An open language model for mathematics]([https://arxiv.org/abs/2308.04014](https://arxiv.org/abs/2310.10631))" In _Math-AI Workshop @ NeurIPS_ (2023). + - Alexander Havrilla, Maksym Zhuravinskyi, Duy Phung, Aman Tiwari, Jonathan Tow, **Stella Biderman**, **Quentin Anthony**, and **Louis Castricato**. "[trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback](https://aclanthology.org/2023.emnlp-main.530/)." _Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing_, 2023. ### External Publications The following publications by other research groups use this library: @@ -526,6 +528,12 @@ The following publications by other research groups use this library: - Jean Kaddour and Qi Liu. "[Text Data Augmentation in Low-Resource Settings via Fine-Tuning of Large Language Models](https://arxiv.org/abs/2310.01119)." _arXiv:2310.01119_ (2023). - Alon Albalak, Liangming Pan, Colin Raffel, and William Yang Wang. "[Efficient Online Data Mixing For Language Model Pre-Training](https://alon-albalak.github.io/images/Online_Data_Mixing.pdf)." _preprint_ (2023). - Eghbal A. Hosseini and Evelina Fedorenko. "[Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language](https://www.biorxiv.org/content/10.1101/2023.11.05.564832v1)." _bioRxiv_ (2023). +- Junqi Yin, Sajal Dash, Feiyi Wang, and Mallikarjun Shankar. "[FORGE: Pre-Training Open Foundation Models for Science](https://dl.acm.org/doi/abs/10.1145/3581784.3613215). _Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis_, 1-13, 2023. +- Jean Kaddour and Qi Liu. "[Text Data Augmentation in Low-Resource Settings via Fine-Tuning of Large Language Models](https://arxiv.org/abs/2310.01119)." _arXiv preprint arXiv:2310.01119_, 2023. +- Peng Di, Jianguo Li, Hang Yu, Wei Jiang, Wenting Cai, Yang Cao, Chaoyu Chen, Dajun Chen, Hongwei Chen, Liang Chen, Gang Fan, Jie Gong, Zi Gong, Wen Hu, Tingting Guo, Zhichao Lei, Ting Li, Zheng Li, Ming Liang, Cong Liao, Bingchang Liu, Jiachen Liu, Zhiwei Liu, Shaojun Lu, Min Shen, Guangpei Wang, Huan Wang, Zhi Wang, Zhaogui Xu, Jiawei Yang, Qing Ye, Gehao Zhang, Yu Zhang, Zelin Zhao, Xunjin Zheng, Hailian Zhou, Lifu Zhu, and Xianying Zhu. "[CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model](https://arxiv.org/abs/2310.06266)." _arXiv preprint arXiv:2310.06266_, 2023. +- Nikitha Rao, Kush Jain, Uri Alon, Claire Le Goues, and Vincent J Hellendoorn. "[CAT-LM Training Language Models on Aligned Code And Tests](https://arxiv.org/abs/2310.01602)." _38th IEEE/ACM International Conference on Automated Software Engineering (ASE)_, pp. 409-420. IEEE, 2023. + + ### Models The following models were trained using this library: From a48e09e6e60409d3b49b553912d57406e0585e0f Mon Sep 17 00:00:00 2001 From: Stella Biderman Date: Fri, 22 Dec 2023 03:37:05 -0500 Subject: [PATCH 20/99] Update README.md --- README.md | 12 ++++++++++-- 1 file changed, 10 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 528447835..28bdbafa8 100644 --- a/README.md +++ b/README.md @@ -507,10 +507,12 @@ GPT-NeoX has been used by academic and industry researchers for a variety of hig EleutherAI and our collaborators have used it in the following publications: - Sid Black, Stella Biderman, Eric Hallahan, Quentin Anthony, Leo Gao, Laurence Golding, Horace He, Connor Leahy, McDonell, Jason Phang, Michael Pieler, Prashanth, Shivanshu Purohit, Laria Reynolds, Jon Tow, Ben Wang, and Samuel Weinbach. "[GPT-NeoX-20B: An Open-Source Autoregressive Language Model](https://arxiv.org/abs/2204.06745)." In *Proceedings of the ACL Workshop on Challenges \& Perspectives in Creating Large Language Models* (2022). - Stella Biderman, Hailey Schoelkopf, Quentin Anthony, Herbie Bradley, Kyle O’Brien, Eric Hallahan, Mohammad Aflah Khan et al. "[Pythia: A suite for analyzing large language models across training and scaling](https://arxiv.org/abs/2304.01373)." In _International Conference on Machine Learning_, pp. 2397-2430. PMLR (2023). - - Zhangir Azerbayev, Bartosz Piotrowski, Hailey Schoelkopf, Edward W. Ayers, Dragomir Radev, and Jeremy Avigad. "[Proofnet: Autoformalizing and formally proving undergraduate-level mathematics](https://arxiv.org/abs/2302.12433). *arXiv preprint arXiv:2302.12433* (2023). + - Zhangir Azerbayev, Bartosz Piotrowski, **Hailey Schoelkopf**, Edward W. Ayers, Dragomir Radev, and Jeremy Avigad. "[Proofnet: Autoformalizing and formally proving undergraduate-level mathematics](https://arxiv.org/abs/2302.12433). *arXiv preprint arXiv:2302.12433* (2023). - Stella Biderman, USVSN Sai Prashanth, Lintang Sutawika, Hailey Schoelkopf, Quentin Anthony, Shivanshu Purohit, and Edward Raff. "[Emergent and predictable memorization in large language models.](https://arxiv.org/abs/2304.11158)" *arXiv preprint arXiv:2304.11158* (2023). - Hyunwoong Ko, Kichang Yang, Minho Ryu, Taekyoon Choi, Seungmu Yang, and Sungho Park. "[A Technical Report for Polyglot-Ko: Open-Source Large-Scale Korean Language Models](https://arxiv.org/abs/2306.02254)." *arXiv preprint arXiv:2306.02254* (2023). - - Kshitij Gupta, Benjamin Thérien, Adam Ibrahim, Mats Leon Richter, Quentin Anthony, Eugene Belilovsky, Irina Rish, and Timothée Lesort. "[Continual Pre-Training of Large Language Models: How to re-warm your model?](https://arxiv.org/abs/2308.04014)" In _Workshop on Efficient Systems for Foundation Models @ ICML_ (2023). + - Kshitij Gupta, Benjamin Thérien, Adam Ibrahim, Mats Leon Richter, **Quentin Anthony**, Eugene Belilovsky, Irina Rish, and Timothée Lesort. "[Continual Pre-Training of Large Language Models: How to re-warm your model?](https://arxiv.org/abs/2308.04014)" In _Workshop on Efficient Systems for Foundation Models @ ICML_ (2023). + - **Zhangir Azerbayev**, **Hailey Schoelkopf**, Keiran Paster, Marco Dos Santos, Stephen McAleer, Albert Q Jiang, Jia Deng, **Stella Biderman**, and Sean Welleck. "[Llemma: An open language model for mathematics]([https://arxiv.org/abs/2308.04014](https://arxiv.org/abs/2310.10631))" In _Math-AI Workshop @ NeurIPS_ (2023). + - Alexander Havrilla, Maksym Zhuravinskyi, Duy Phung, Aman Tiwari, Jonathan Tow, **Stella Biderman**, **Quentin Anthony**, and **Louis Castricato**. "[trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback](https://aclanthology.org/2023.emnlp-main.530/)." _Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing_, 2023. ### External Publications The following publications by other research groups use this library: @@ -526,6 +528,12 @@ The following publications by other research groups use this library: - Jean Kaddour and Qi Liu. "[Text Data Augmentation in Low-Resource Settings via Fine-Tuning of Large Language Models](https://arxiv.org/abs/2310.01119)." _arXiv:2310.01119_ (2023). - Alon Albalak, Liangming Pan, Colin Raffel, and William Yang Wang. "[Efficient Online Data Mixing For Language Model Pre-Training](https://alon-albalak.github.io/images/Online_Data_Mixing.pdf)." _preprint_ (2023). - Eghbal A. Hosseini and Evelina Fedorenko. "[Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language](https://www.biorxiv.org/content/10.1101/2023.11.05.564832v1)." _bioRxiv_ (2023). +- Junqi Yin, Sajal Dash, Feiyi Wang, and Mallikarjun Shankar. "[FORGE: Pre-Training Open Foundation Models for Science](https://dl.acm.org/doi/abs/10.1145/3581784.3613215). _Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis_, 1-13, 2023. +- Jean Kaddour and Qi Liu. "[Text Data Augmentation in Low-Resource Settings via Fine-Tuning of Large Language Models](https://arxiv.org/abs/2310.01119)." _arXiv preprint arXiv:2310.01119_, 2023. +- Peng Di, Jianguo Li, Hang Yu, Wei Jiang, Wenting Cai, Yang Cao, Chaoyu Chen, Dajun Chen, Hongwei Chen, Liang Chen, Gang Fan, Jie Gong, Zi Gong, Wen Hu, Tingting Guo, Zhichao Lei, Ting Li, Zheng Li, Ming Liang, Cong Liao, Bingchang Liu, Jiachen Liu, Zhiwei Liu, Shaojun Lu, Min Shen, Guangpei Wang, Huan Wang, Zhi Wang, Zhaogui Xu, Jiawei Yang, Qing Ye, Gehao Zhang, Yu Zhang, Zelin Zhao, Xunjin Zheng, Hailian Zhou, Lifu Zhu, and Xianying Zhu. "[CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model](https://arxiv.org/abs/2310.06266)." _arXiv preprint arXiv:2310.06266_, 2023. +- Nikitha Rao, Kush Jain, Uri Alon, Claire Le Goues, and Vincent J Hellendoorn. "[CAT-LM Training Language Models on Aligned Code And Tests](https://arxiv.org/abs/2310.01602)." _38th IEEE/ACM International Conference on Automated Software Engineering (ASE)_, pp. 409-420. IEEE, 2023. + + ### Models The following models were trained using this library: From 613e5a62a491aded6d7a7f95eb38d49f066862ff Mon Sep 17 00:00:00 2001 From: github-actions Date: Fri, 22 Dec 2023 08:38:04 +0000 Subject: [PATCH 21/99] Update NeoXArgs docs automatically --- configs/neox_arguments.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 6003d15cc..a5210bb52 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = a279fc8 + Default = a48e09e current git hash of repository From be7eeda60341f9e39354990d2629a5b8bec2fd4d Mon Sep 17 00:00:00 2001 From: Stella Biderman Date: Fri, 22 Dec 2023 03:56:47 -0500 Subject: [PATCH 22/99] Update README.md --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 28bdbafa8..1a3ea819e 100644 --- a/README.md +++ b/README.md @@ -523,6 +523,7 @@ The following publications by other research groups use this library: - Eghbal A. Hosseini, Martin A. Schrimpf, Yian Zhang, Samuel Bowman, Noga Zaslavsky, and Evelina Fedorenko. "[Artificial neural network language models align neurally and behaviorally with humans even after a developmentally realistic amount of training.](https://www.biorxiv.org/content/10.1101/2022.10.04.510681)" _BioRxiv_ (2022). - Byung-Doh Oh and William Schuler. "[Transformer-Based LM Surprisal Predicts Human Reading Times Best with About Two Billion Training Tokens](https://arxiv.org/abs/2304.11389)." *arXiv preprint arXiv:2304.11389* (2023). - Ta-Chung Chi, Ting-Han Fan, Alexander Rudnicky, and Peter Ramadge. "[Dissecting Transformer Length Extrapolation via the Lens of Receptive Field Analysis](https://aclanthology.org/2023.acl-long.756/)." In _Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)_, pp. 13522-13537 (2023). +- Ta-Chung Chi, Ting-Han Fan, Li-Wei Chen, Alexander Rudnicky, and Peter Ramadge. "[Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings](https://aclanthology.org/2023.acl-short.102/)." In _Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)_, pp. 13522-13537 (2023). - Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, and Jun Wang. "[ChessGPT: Bridging Policy Learning and Language Modeling.](https://arxiv.org/abs/2306.09200)" _arXiv preprint arXiv:2306.09200_ (2023). - Orion Walker Dollar, Sameera Horawalavithana, Scott Vasquez, W. James Pfaendtner, and Svitlana Volkova. "[MolJET: Multimodal Joint Embedding Transformer for Conditional de novo Molecular Design and Multi-Property Optimization.](https://openreview.net/pdf?id=7UudBVsIrr)" _preprint_ (2023). - Jean Kaddour and Qi Liu. "[Text Data Augmentation in Low-Resource Settings via Fine-Tuning of Large Language Models](https://arxiv.org/abs/2310.01119)." _arXiv:2310.01119_ (2023). From 2117afcf00aa8b92eb3dce5ae5f4405176b4e25a Mon Sep 17 00:00:00 2001 From: Stella Biderman Date: Fri, 22 Dec 2023 13:01:06 -0500 Subject: [PATCH 23/99] Update README.md --- README.md | 190 +++++++++++++++++++++++++++++------------------------- 1 file changed, 101 insertions(+), 89 deletions(-) diff --git a/README.md b/README.md index 28bdbafa8..eaaaad55e 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ # GPT-NeoX -This repository records [EleutherAI](https://www.eleuther.ai)'s library for training large-scale language models on GPUs. Our current framework is based on NVIDIA's [Megatron Language Model](https://github.com/NVIDIA/Megatron-LM) and has been augmented with techniques from [DeepSpeed](https://www.deepspeed.ai) as well as some novel optimizations. We aim to make this repo a centralized and accessible place to gather techniques for training large-scale autoregressive language models, and accelerate research into large-scale training. This library is in widespread use in [academic, industry, and government labs](https://github.com/EleutherAI/gpt-neox#adoption-and-publications), including by researchers at Oak Ridge National Lab, CarperAI, Stability AI, Carnegie Mellon University, and the University of Tokyo. Uniquely among similar libraries GPT-NeoX supports a wide variety of systems and hardwares, including launching via Slurm, MPI, and the IBM Job Step Manager, and has been run at scale on [AWS](https://aws.amazon.com/), [CoreWeave](https://www.coreweave.com/), [ORNL Summit](https://www.olcf.ornl.gov/summit/), [ORNL Frontier](https://www.olcf.ornl.gov/frontier/), [LUMI](https://www.lumi-supercomputer.eu/), and others. +This repository records [EleutherAI](https://www.eleuther.ai)'s library for training large-scale language models on GPUs. Our current framework is based on NVIDIA's [Megatron Language Model](https://github.com/NVIDIA/Megatron-LM) and has been augmented with techniques from [DeepSpeed](https://www.deepspeed.ai) as well as some novel optimizations. We aim to make this repo a centralized and accessible place to gather techniques for training large-scale autoregressive language models, and accelerate research into large-scale training. This library is in widespread use in [academic, industry, and government labs](https://github.com/EleutherAI/gpt-neox#adoption-and-publications), including by researchers at Oak Ridge National Lab, CarperAI, Stability AI, Together.ai, Korea University, Carnegie Mellon University, and the University of Tokyo among others. Uniquely among similar libraries GPT-NeoX supports a wide variety of systems and hardwares, including launching via Slurm, MPI, and the IBM Job Step Manager, and has been run at scale on [AWS](https://aws.amazon.com/), [CoreWeave](https://www.coreweave.com/), [ORNL Summit](https://www.olcf.ornl.gov/summit/), [ORNL Frontier](https://www.olcf.ornl.gov/frontier/), [LUMI](https://www.lumi-supercomputer.eu/), and others. **If you are not looking to train models with billions of parameters from scratch, this is likely the wrong library to use. For generic inference needs, we recommend you use the Hugging Face `transformers` library instead which supports GPT-NeoX models.** @@ -13,7 +13,7 @@ GPT-NeoX leverages many of the same features and technologies as the popular Meg * Distributed training with ZeRO and 3D parallelism * A wide variety of systems and hardwares, including launching via Slurm, MPI, and the IBM Job Step Manager, and has been run at scale on [AWS](https://aws.amazon.com/), [CoreWeave](https://www.coreweave.com/), [ORNL Summit](https://www.olcf.ornl.gov/summit/), [ORNL Frontier](https://www.olcf.ornl.gov/frontier/), [LUMI](https://www.lumi-supercomputer.eu/), and others. * Cutting edge architectural innovations including rotary and alibi positional embeddings, parallel feedforward attention layers, and flash attention. -* Predefined configurations for popular architectures including Pythia, PaLM, Falcon, and LLaMA 1 & 2 +* Predefined configurations for popular architectures including Pythia, PaLM, Falcon, and LLaMA 1 \& 2 * Curriculum Learning * Easy connections with the open source ecosystem, including Hugging Face's [tokenizers](https://github.com/huggingface/tokenizers) and [transformers](https://github.com/huggingface/transformers/) libraries, logging via [WandB](https://wandb.ai/site), and evaluation via our [Language Model Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness). @@ -39,27 +39,43 @@ Prior to 3/9/2023, GPT-NeoX relied on [DeeperSpeed](https://github.com/EleutherA # Contents -* [Quick Start](#quick-start) +- [GPT-NeoX](#gpt-neox) + * [Why GPT-NeoX?](#why-gpt-neox) + * [News](#news) + * [Versions](#versions) +- [Contents](#contents) +- [Quick Start](#quick-start) * [Environment and Dependencies](#environment-and-dependencies) + + [Host Setup](#host-setup) + + [Flash Attention](#flash-attention) + + [Multi-Node Launching](#multi-node-launching) + + [Containerized Setup](#containerized-setup) * [Usage](#usage) -* [Configuration](#configuration) -* [Datasets](#datasets) +- [Configuration](#configuration) +- [Datasets](#datasets) * [Preconfigured Datasets](#preconfigured-datasets) * [Using Custom Data](#using-custom-data) -* [Training and Finetuning](#training-and-finetuning) - * [Select Pretrained Models](#pretrained-models) - * [GPT-NeoX-20B](#gpt-neox-20b) - * [Pythia](#pythia) - * [Polyglot](#polyglot) -* [Inference](#inference) -* [Evaluation](#evaluation) -* [Exporting to Hugging Face](#exporting-to-hugging-face) -* [Monitoring](#monitoring) - * [Weights & Biases](#wandb) +- [Training and Finetuning](#training-and-finetuning) + * [Pretrained Models](#pretrained-models) + + [GPT-NeoX-20B](#gpt-neox-20b) + + [Pythia](#pythia) + + [Polyglot](#polyglot) +- [Inference](#inference) +- [Evaluation](#evaluation) +- [Exporting to Hugging Face](#exporting-to-hugging-face) +- [Monitoring](#monitoring) + * [Weights and Biases](#weights-and-biases) * [TensorBoard](#tensorboard) -* [Administrative Notes](#administrative-notes) +- [Running on multi-node](#running-on-multi-node) +- [Adoption and Publications](#adoption-and-publications) + * [Publications](#publications) + * [Models](#models) + + [English LLMs](#english-llms) + + [Non-English LLMs](#non-english-llms) + + [Code Models](#code-models) + + [Other Modalities](#other-modalities) +- [Administrative Notes](#administrative-notes) * [Citing GPT-NeoX](#citing-gpt-neox) - * [Adoption and Publications](#adoption-and-publications) * [Licensing](#licensing) * [Acknowledgements](#acknowledgements) @@ -452,7 +468,7 @@ Note, however, that this compatibility is not one-to-one, and only certain confi In addition to storing logs locally, we provide built-in support for two popular experiment monitoring frameworks: [Weights & Biases](https://wandb.ai/site) and [TensorBoard](https://www.tensorflow.org/tensorboard/) -

Weights & Biases

+## Weights and Biases EleutherAI is currently using [Weights & Biases to record our experiments](https://wandb.ai/eleutherai/neox). If you are logged into Weights & Biases on your machine—you can do this by executing `wandb login`—your runs will automatically be recorded. There are two optional fields associated with Weights & Biases: wandb_group allows you to name the run group and wandb_team allows you to assign your runs to an organization or team account. @@ -464,6 +480,73 @@ We also support using TensorBoard via the tensorboard-dir Date: Fri, 22 Dec 2023 18:01:19 +0000 Subject: [PATCH 24/99] Update NeoXArgs docs automatically --- configs/neox_arguments.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index a5210bb52..c05606e05 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = a48e09e + Default = 2117afc current git hash of repository From f161245b7c3848811f7e8e092977fbaeea12d283 Mon Sep 17 00:00:00 2001 From: Lintang Sutawika Date: Sat, 23 Dec 2023 01:05:34 +0700 Subject: [PATCH 25/99] Add QK Normalization (#1100) * add qk normalization * Update NeoXArgs docs automatically * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions Co-authored-by: Quentin Anthony --- configs/neox_arguments.md | 10 +++++++++- megatron/model/transformer.py | 15 +++++++++++++++ megatron/neox_arguments/neox_args.py | 5 +++++ 3 files changed, 29 insertions(+), 1 deletion(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 6003d15cc..722756d6f 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = a279fc8 + Default = 1fc0521 current git hash of repository @@ -261,6 +261,14 @@ Model Arguments +- **use_qk_layernorm**: bool + + Default = False + + Use QK Normalization + + + - **layernorm_epsilon**: float Default = 1e-05 diff --git a/megatron/model/transformer.py b/megatron/model/transformer.py index 63f4122e2..195e57925 100644 --- a/megatron/model/transformer.py +++ b/megatron/model/transformer.py @@ -284,6 +284,16 @@ def __init__( neox_args.num_attention_heads, world_size ) self.pos_emb = neox_args.pos_emb + self.use_qk_layernorm = neox_args.use_qk_layernorm + if self.use_qk_layernorm: + norm, eps = get_norm(neox_args) + self.qk_layernorm = norm( + [ + self.num_attention_heads_per_partition, + self.hidden_size_per_attention_head, + ], + eps=eps, + ) # Strided linear layer. self.query_key_value = mpu.ColumnParallelLinear( @@ -639,6 +649,11 @@ def forward(self, hidden_states, attention_mask, layer_past=None): mixed_x_layer, 3 ) + # QK Normalization https://arxiv.org/abs/2302.05442 + if self.use_qk_layernorm: + query_layer = self.qk_layernorm(query_layer) + key_layer = self.qk_layernorm(key_layer) + if exists(self.rotary_emb): if exists(self.rotary_ndims): # partial rotary diff --git a/megatron/neox_arguments/neox_args.py b/megatron/neox_arguments/neox_args.py index 324a379d4..2cfed465d 100644 --- a/megatron/neox_arguments/neox_args.py +++ b/megatron/neox_arguments/neox_args.py @@ -125,6 +125,11 @@ class NeoXArgsModel(NeoXArgsTemplate): Normalization layer to use. Choose from "layernorm", "rmsnorm", "scalenorm". """ + use_qk_layernorm: bool = False + """ + Use QK Normalization + """ + layernorm_epsilon: float = 1.0e-5 """ Layer norm epsilon. From 7fb3b3c79bc460c12310af042e2ab9883e964af9 Mon Sep 17 00:00:00 2001 From: Stella Biderman Date: Fri, 22 Dec 2023 13:07:32 -0500 Subject: [PATCH 26/99] Update README.md --- README.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/README.md b/README.md index eaaaad55e..a8f6f7c1e 100644 --- a/README.md +++ b/README.md @@ -577,8 +577,6 @@ To cite the 20 billion parameter model named `GPT-NeoX-20B`, please use } ``` -Citation instructions for other pretrained models can be found [in the appropriate repository](#pretrained-models). - ## Licensing This repository hosts code that is part of EleutherAI's GPT-NeoX project. Copyright (c) 2021, EleutherAI. Licensed under the Apache License: From a7509f0e076152036ce5f3e534a153ff2022c718 Mon Sep 17 00:00:00 2001 From: Stella Biderman Date: Fri, 22 Dec 2023 13:14:14 -0500 Subject: [PATCH 27/99] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index a8f6f7c1e..a4724c882 100644 --- a/README.md +++ b/README.md @@ -526,7 +526,7 @@ The following models were trained using this library: - Together.ai's [RedPajama-INCITE (3B and 7B)](https://together.ai/blog/redpajama-models-v1) - Carnegie Mellon University's [proofGPT (1.3B and 6.7B)](https://huggingface.co/hoskinson-center/proofGPT-v0.1-6.7B) - Dampish's [StellarX (2.8B and 4B)](https://huggingface.co/Dampish/StellarX-4B-V0.2) -- Oak Ridge National Lab's [FORGE (26B)](https://dl.acm.org/doi/10.1145/3581784.3613215) +- Oak Ridge National Lab's [FORGE (26B)](https://github.com/at-aaims/forge) ### Non-English LLMs - EleutherAI's [Polyglot-Ko (1.3B through 12.8B)](https://github.com/EleutherAI/polyglot) (Korean) From 4d5a8115752b342aa922cf406dae4d13a7a056c0 Mon Sep 17 00:00:00 2001 From: github-actions Date: Fri, 22 Dec 2023 18:15:21 +0000 Subject: [PATCH 28/99] Update NeoXArgs docs automatically --- configs/neox_arguments.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 4dacafa0a..06656d3d8 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 2117afc + Default = 8eaac4e current git hash of repository From b27e409cf6c3b78a073681d8a312b1c1477fd703 Mon Sep 17 00:00:00 2001 From: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com> Date: Fri, 22 Dec 2023 21:16:58 -0500 Subject: [PATCH 29/99] Lm eval 0.4.0 support (#1101) * add lm-eval v0.4.0 * rename evaluate.py to avoid shadowing HF evaluate library * document new evaluate.py filename * Update NeoXArgs docs automatically * handle results format differently * Update NeoXArgs docs automatically * Update hanging evaluate.py scripts * Update NeoXArgs docs automatically * Add triviaqa to default eval_tasks * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions Co-authored-by: Quentin Anthony --- README.md | 4 +- configs/neox_arguments.md | 2 +- evaluate.py => eval.py | 0 eval_tasks/eval_adapter.py | 143 +++++++++++++++++++-------- megatron/neox_arguments/arguments.py | 4 +- megatron/training.py | 4 +- requirements/requirements.txt | 2 +- 7 files changed, 112 insertions(+), 47 deletions(-) rename evaluate.py => eval.py (100%) diff --git a/README.md b/README.md index 490bc94aa..d9f431d20 100644 --- a/README.md +++ b/README.md @@ -238,7 +238,7 @@ All functionality should be launched using `deepy.py`, a wrapper around the `dee We currently offer three main functions: 1. `train.py` is used for training and finetuning models. -2. `evaluate.py` is used to evaluate a trained model using the [language model evaluation harness](https://github.com/EleutherAI/lm-evaluation-harness). +2. `eval.py` is used to evaluate a trained model using the [language model evaluation harness](https://github.com/EleutherAI/lm-evaluation-harness). 3. `generate.py` is used to sample text from a trained model. which can be launched with: @@ -435,7 +435,7 @@ GPT-NeoX supports evaluation on downstream tasks through the [language model eva To evaluate a trained model on the evaluation harness, simply run: ```bash -python ./deepy.py evaluate.py -d configs your_configs.yml --eval_tasks task1 task2 ... taskn +python ./deepy.py eval.py -d configs your_configs.yml --eval_tasks task1 task2 ... taskn ``` where `--eval_tasks` is a list of evaluation tasks followed by spaces, e.g `--eval_tasks lambada hellaswag piqa sciq`. For details of all tasks available, refer to the [lm-evaluation-harness repo](https://github.com/EleutherAI/lm-evaluation-harness). diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 06656d3d8..0c0f88e5b 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 8eaac4e + Default = 79befef current git hash of repository diff --git a/evaluate.py b/eval.py similarity index 100% rename from evaluate.py rename to eval.py diff --git a/eval_tasks/eval_adapter.py b/eval_tasks/eval_adapter.py index e0a32797d..15dcdb1f2 100644 --- a/eval_tasks/eval_adapter.py +++ b/eval_tasks/eval_adapter.py @@ -13,19 +13,8 @@ # limitations under the License. from megatron.utils import is_local_main, print_rank_0 -import best_download - -# patch best_download (eval harness downloader) to only happen on the first local rank -fn = best_download.download_file - - -def _download_file(*args, **kwargs): - if is_local_main(): - fn(*args, **kwargs) - - -best_download.download_file = _download_file +import copy import os import sys import dataclasses @@ -38,13 +27,13 @@ def _download_file(*args, **kwargs): import torch import torch.nn.functional as F -from lm_eval.models.gpt2 import GPT2LM -from lm_eval import tasks, evaluator, utils, base +from lm_eval.models.huggingface import HFLM +from lm_eval import tasks, evaluator, utils, api from megatron.text_generation_utils import generate_samples_from_prompt from megatron import mpu -class EvalHarnessAdapter(GPT2LM): +class EvalHarnessAdapter(HFLM): """ An adapter to run NeoX models on LM Evaluation Harness (https://github.com/EleutherAI/lm-evaluation-harness) tasks. @@ -56,13 +45,13 @@ class EvalHarnessAdapter(GPT2LM): """ def __init__(self, model, forward_step_fn, neox_args, batch_size=None): - self.cache_hook = base.CacheHook(None) - self.model = model + self.cache_hook = api.model.CacheHook(None) + self._model = model self.neox_args = neox_args self.tokenizer = neox_args.tokenizer self._device = torch.device(f"cuda:{neox_args.local_rank}") self._eot_token_id = neox_args.tokenizer.eod_id - self._max_length = neox_args.max_position_embeddings // 2 + self._max_length = neox_args.max_position_embeddings self._max_gen_toks = 128 self._vocab_size = neox_args.padded_vocab_size @@ -94,8 +83,6 @@ def __init__(self, model, forward_step_fn, neox_args, batch_size=None): generate_samples_from_prompt, neox_args=neox_args, model=model, - maximum_tokens=self._max_gen_toks, - temperature=0.0, ) @property @@ -123,15 +110,23 @@ def batch_size(self): def device(self): return self._device - def tok_encode(self, string: str): + @property + def rank(self): + return 0 + + @property + def world_size(self): + return 1 + + def tok_encode(self, string: str, **kwargs): return self.tokenizer.encode(string) - def tok_decode(self, tokens): + def tok_decode(self, tokens, **kwargs): return self.tokenizer.decode(tokens) - def greedy_until(self, requests): + def generate_until(self, requests): """ - Greedy until is lm_eval harness' way to say "do greedy generation" - necessary for some tasks. + Generate until is lm_eval harness' way to say "do greedy generation" - necessary for some tasks. the eval harness dispatches requests to the model, and the model does argmax generation, the results of which are returned to the eval harness to evaluate. @@ -143,19 +138,46 @@ def greedy_until(self, requests): self.model.module.inference_mode(use_cache=True) # tell model to cache kv pairs res = [] + # get only the args from each Instance object + reqs = [req.args for req in requests] + def _collate(x): toks = self.tokenizer.encode(x[0]) return (len(toks), x[0]) - reord = utils.Reorderer(requests, _collate) - for context, until in tqdm(reord.get_reordered(), "Running greedy generation"): - if isinstance(until, str): - until = [until] + reord = utils.Reorderer(reqs, _collate) + for context, gen_kwargs in tqdm(reord.get_reordered(), "Running greedy generation"): + if isinstance(gen_kwargs, dict): + kwargs = copy.deepcopy(gen_kwargs) # edge case for repeats > 1 + if "until" in kwargs.keys(): + until = kwargs.pop("until") + if isinstance(until, str): + until = [kwargs] + elif not isinstance(until, list): + raise ValueError( + f"Expected `kwargs['until']` to be of type Union[str,list] but got {until}" + ) + else: + raise ValueError( + f"Expected `kwargs` to be of type `dict` but got {kwargs}" + ) + if not until: + until = [self.tok_decode(self.eot_token_id)] + if "max_gen_toks" in kwargs.keys(): + max_gen_toks = kwargs.pop("max_gen_toks") + else: + max_gen_toks = self.max_gen_toks + + if "do_sample" in kwargs.keys(): + kwargs.pop("do_sample") + stop_tokens = [self.tokenizer.encode(i) for i in until] cont = self.generate( text=context, stop_tokens=stop_tokens, recompute=self.neox_args.recompute, + maximum_tokens=max_gen_toks, + **kwargs, ) if cont: s = cont[0]["text"] or "" @@ -166,7 +188,7 @@ def _collate(x): s = s.split(term)[0] # partial caching - self.cache_hook.add_partial("greedy_until", (context, until), s) + self.cache_hook.add_partial("generate_until", (context, until), s) res.append(s) @@ -366,7 +388,6 @@ def run_eval( eval_tasks=None, num_fewshot=0, bootstrap_iters=2, - description_dict=None, use_cache=True, name="neox", limit=None, @@ -385,8 +406,12 @@ def run_eval( "winogrande", "mathqa", "pubmedqa", + "triviaqa" ] + # register all the default tasks bundled with lm-evaluation-harness repository + tasks.initialize_tasks() + # Returns a list containing all values of the task registry that # match at least one of the patterns import fnmatch @@ -401,6 +426,8 @@ def pattern_match(patterns, source_list): eval_tasks = pattern_match(eval_tasks, tasks.ALL_TASKS) print(f"Found tasks: {eval_tasks}") + assert len(eval_tasks) > 0, "Must run at least one task" + # **HACK INCOMING**: # first get task dict on local main rank # the tasks are downloaded *as they are initialized*, and the downloads don't like multithreading. @@ -413,31 +440,67 @@ def pattern_match(patterns, source_list): task_dict = tasks.get_task_dict(eval_tasks) lm = self + if use_cache: - # TODO(jon-tow): Append a subset of `neox_args` to the cache database - # name arg to distinguish model runs that use different configurations. - lm = base.CachingLM(lm, "lm_cache/" + name + ".db") + use_cache = 'lm_cache/neox' + '_dp_rank' + str(self._dp_rank) + '_dp_group' + str(self._dp_group) + '.db' + print(f"Using cache at {use_cache}...") + lm = lm_eval.api.model.CachingLM( + lm, + use_cache + # each rank receives a different cache db. + # necessary to avoid multiple writes to cache at once + # TODO: Append a subset of `neox_args` to the cache database + # name arg to distinguish model runs that use different configurations. + ) + + # from simple_evaluate: + # override fewshot values for all tasks we can + for task_name in task_dict.keys(): + task_obj = task_dict[task_name] + if type(task_obj) == tuple: + group, task_obj = task_obj + if task_obj is None: + continue + + config = task_obj._config + + if num_fewshot is not None: + if config["num_fewshot"] == 0: + utils.eval_logger.info( + f"num_fewshot has been set to 0 for {task_name} in its config. Manual configuration will be ignored." + ) + else: + default_num_fewshot = config["num_fewshot"] + if not default_num_fewshot: + utils.eval_logger.warning( + f"Overwriting default num_fewshot of {task_name} from {default_num_fewshot} to {num_fewshot}" + ) + + task_obj._config["num_fewshot"] = num_fewshot results = evaluator.evaluate( lm=lm, - task_dict=tasks.get_task_dict(eval_tasks), - description_dict=description_dict, - num_fewshot=num_fewshot, - limit=limit, + task_dict=task_dict, + limit=10, #limit, bootstrap_iters=bootstrap_iters, + log_samples=False, ) results["config"] = { "model": name, "model_args": dataclasses.asdict(self.neox_args), - "num_fewshot": num_fewshot, "batch_size": self.batch_size, "device": str(self.device), - "no_cache": not use_cache, + "use_cache": use_cache, "limit": limit, "bootstrap_iters": bootstrap_iters, - "description_dict": description_dict, } + results["git_hash"] = utils.get_git_commit_hash() + + print(results.keys()) + for task_name in task_dict.keys(): + if "alias" in results["results"][task_name]: + results["results"][task_name].pop("alias") if was_training: self.model.train() diff --git a/megatron/neox_arguments/arguments.py b/megatron/neox_arguments/arguments.py index 5ecba71f3..bf34df842 100644 --- a/megatron/neox_arguments/arguments.py +++ b/megatron/neox_arguments/arguments.py @@ -293,13 +293,13 @@ def consume_deepy_args(cls, input_args=None): type=str, nargs="+", default=None, - help="Optionally overwrite eval tasks to run for evaluate.py", + help="Optionally overwrite eval tasks to run for eval.py", ) group.add_argument( "--iteration", type=int, default=None, - help="Iteration to load checkpoint from in evaluate.py / generate.py. If None is provided, uses the latest iteration.", + help="Iteration to load checkpoint from in the eval.py and generate.py scripts. If None is provided, uses the latest iteration.", ) group.add_argument( "--eval_results_prefix", diff --git a/megatron/training.py b/megatron/training.py index 20c168ed3..31dc5d444 100644 --- a/megatron/training.py +++ b/megatron/training.py @@ -867,7 +867,6 @@ def train( optimizer=optimizer, lr_scheduler=lr_scheduler, ) - # Evaluation if ( neox_args.eval_interval @@ -1006,6 +1005,9 @@ def evaluate_and_print_results( string = f" {chart_name} results at {prefix} | " for k, v in total_loss_dict.items(): if isinstance(v, dict): + if neox_args.eval_tasks and "results" in v: + v = v["results"] + print(v) for k2, v2 in v.items(): k3 = "_".join([k, k2]) string += f"{k3} value: {v2:.6E} | " diff --git a/requirements/requirements.txt b/requirements/requirements.txt index 137da4d81..807a55974 100644 --- a/requirements/requirements.txt +++ b/requirements/requirements.txt @@ -3,7 +3,7 @@ git+https://github.com/EleutherAI/DeeperSpeed.git@b9260436e7da3e297fc6bedfd27d9e ftfy>=6.0.1 git+https://github.com/EleutherAI/lm_dataformat.git@4eec05349977071bf67fc072290b95e31c8dd836 huggingface_hub>=0.11.0 -lm_eval==0.3.0 +git+https://github.com/EleutherAI/lm-evaluation-harness.git@main#egg=lm_eval mpi4py>=3.0.3 numpy>=1.22.0 pybind11>=2.6.2 From 1148a0f55b7512959aff5fbfce19aaaab6eada3e Mon Sep 17 00:00:00 2001 From: Stella Biderman Date: Sat, 23 Dec 2023 11:56:00 -0500 Subject: [PATCH 30/99] Update README.md --- README.md | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index d9f431d20..d8cba6ffb 100644 --- a/README.md +++ b/README.md @@ -521,7 +521,7 @@ The following publications by other research groups use this library: The following models were trained using this library: ### English LLMs -- EleutherAI's [GPT-NeoX-20B](https://huggingface.co/EleutherAI/gpt-neox-20b) and [Pythia (70M through 13B)](https://github.com/EleutherAI/pythia) +- EleutherAI's [GPT-NeoX-20B](https://huggingface.co/EleutherAI/gpt-neox-20b), [Pythia (70M through 13B)](https://github.com/EleutherAI/pythia), and [LLeMMA (34B)](https://arxiv.org/abs/2310.10631) - CarperAI's [FIM-NeoX-1.3B](https://huggingface.co/CarperAI/FIM-NeoX-1.3B) - StabilityAI's [StableLM (3B and 7B)](https://github.com/Stability-AI/StableLM) - Together.ai's [RedPajama-INCITE (3B and 7B)](https://together.ai/blog/redpajama-models-v1) @@ -532,6 +532,7 @@ The following models were trained using this library: ### Non-English LLMs - EleutherAI's [Polyglot-Ko (1.3B through 12.8B)](https://github.com/EleutherAI/polyglot) (Korean) - Korea University's [KULLM-Polyglot (5.8B and 12.8B)](https://github.com/nlpai-lab/KULLM) (Korean) +- Stability AI's [Japanese Stable LM (7B)](https://huggingface.co/stabilityai/japanese-stablelm-base-alpha-7b) - LearnItAnyway's [LLaVA-Polyglot-Ko (1.3B)](https://huggingface.co/LearnItAnyway/llava-polyglot-ko-1.3b-hf) (Korean) - Rinna Co.'s [japanese-gpt-neox-3.6b](https://huggingface.co/rinna/japanese-gpt-neox-3.6b) (Japanese) and [bilingual-gpt-neox-4b](https://huggingface.co/rinna/bilingual-gpt-neox-4b) (English / Japanese) - CyberAgent's [Open-CLM (125M through 7B)](https://huggingface.co/cyberagent/open-calm-7b) (Japanese) @@ -540,13 +541,13 @@ The following models were trained using this library: - nolando.ai's [Hi-NOLIN (9B)](https://blog.nolano.ai/Hi-NOLIN/) (English, Hindi) ### Code Models -- Carnegie Mellon University's [PolyCoder (160M through 2.7B)](https://github.com/VHellendoorn/Code-LMs) and [CAT-LM](https://huggingface.co/nikitharao/catlm) +- Carnegie Mellon University's [PolyCoder (160M through 2.7B)](https://github.com/VHellendoorn/Code-LMs) and [CAT-LM (2.7B)](https://huggingface.co/nikitharao/catlm) - StabilityAI's [StableCode (1.3B)](https://stability.ai/blog/stablecode-llm-generative-ai-coding) and [StableCode-Completion-Alpha (3B)](https://stability.ai/blog/stablecode-llm-generative-ai-coding) -- CodeFuse AI's [StableCode (13B)](https://huggingface.co/codefuse-ai/CodeFuse-13B) +- CodeFuse AI's [CodeFuse (13B)](https://huggingface.co/codefuse-ai/CodeFuse-13B) ### Other Modalities - University College London's [ChessGPT-3B](https://huggingface.co/Waterhorse/chessgpt-base-v1) -- Gretel's [Text-to-Table](https://huggingface.co/gretelai/text2table) +- Gretel's [Text-to-Table (3B)](https://huggingface.co/gretelai/text2table) # Administrative Notes From e5a7ea71e96eeada636c9612036dc85e886d973d Mon Sep 17 00:00:00 2001 From: Stella Biderman Date: Tue, 26 Dec 2023 17:48:11 -0500 Subject: [PATCH 31/99] Update neox_args.py (#1107) * Update neox_args.py Changed some default values to correspond to values that we generally recommend people use. * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions --- configs/neox_arguments.md | 12 ++++++------ megatron/neox_arguments/neox_args.py | 10 +++++----- 2 files changed, 11 insertions(+), 11 deletions(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 0c0f88e5b..14cb3a605 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 79befef + Default = 31cb364 current git hash of repository @@ -1143,7 +1143,7 @@ Training Arguments - **weighted_sampler_alpha**: float - Default = 0.3 + Default = 1.0 Alpha value for `weight_by_num_documents`. Only has an effect if `weight_by_num_documents` = True. @@ -1373,7 +1373,7 @@ Training Arguments - **attention_dropout**: float - Default = 0.1 + Default = 0.0 Post attention dropout probability. @@ -1381,7 +1381,7 @@ Training Arguments - **hidden_dropout**: float - Default = 0.1 + Default = 0.0 Dropout probability for hidden state transformer. @@ -1389,7 +1389,7 @@ Training Arguments - **weight_decay**: float - Default = 0.01 + Default = 0.1 Weight decay coefficient for L2 regularization. @@ -1470,7 +1470,7 @@ Training Arguments - **clip_grad**: float - Default = None + Default = 1.0 Gradient clipping based on global L2 norm. diff --git a/megatron/neox_arguments/neox_args.py b/megatron/neox_arguments/neox_args.py index 2cfed465d..e025f6f8a 100644 --- a/megatron/neox_arguments/neox_args.py +++ b/megatron/neox_arguments/neox_args.py @@ -774,7 +774,7 @@ class NeoXArgsTraining(NeoXArgsTemplate): See https://arxiv.org/abs/1911.02116 for more details """ - weighted_sampler_alpha: float = 0.3 + weighted_sampler_alpha: float = 1.0 """ Alpha value for `weight_by_num_documents`. Only has an effect if `weight_by_num_documents` = True. @@ -923,17 +923,17 @@ class NeoXArgsTraining(NeoXArgsTemplate): Exit the program after the iteration is divisible by this value. """ - attention_dropout: float = 0.1 + attention_dropout: float = 0.0 """ Post attention dropout probability. """ - hidden_dropout: float = 0.1 + hidden_dropout: float = 0.0 """ Dropout probability for hidden state transformer. """ - weight_decay: float = 0.01 + weight_decay: float = 0.1 """ Weight decay coefficient for L2 regularization. """ @@ -982,7 +982,7 @@ class NeoXArgsTraining(NeoXArgsTemplate): gas: int = None """gradient_accumulation_steps""" # TODO this is a duplicate, remove? - clip_grad: float = None + clip_grad: float = 1.0 """ Gradient clipping based on global L2 norm. """ From eca6b1a47cd846904f105f6853d3ba1c024b93c6 Mon Sep 17 00:00:00 2001 From: Yang Zhang <7129+yang@users.noreply.github.com> Date: Thu, 4 Jan 2024 10:01:17 -0800 Subject: [PATCH 32/99] Fix repo for CI (#1106) * Fix syntax errors * Make pre-commit fixes across repo * Ensure correct version of clang-format in CI --------- Co-authored-by: Yang Zhang --- .github/workflows/pull_request.yml | 2 + .pre-commit-config.yaml | 1 + configs/finetuning_configs/6-9B.yml | 8 +-- configs/neox_arguments.md | 7 +-- eval.py | 4 +- eval_tasks/eval_adapter.py | 17 ++++-- generate.py | 4 +- megatron/checkpointing.py | 59 +++++++++++++++----- megatron/data/gpt2_dataset.py | 27 +++++---- megatron/learning_rates.py | 2 +- megatron/logging.py | 6 +- megatron/model/flash_attention.py | 57 +++++++++++++++++-- megatron/model/gpt2_model.py | 4 +- megatron/neox_arguments/arguments.py | 10 +++- megatron/neox_arguments/neox_args.py | 11 +++- megatron/tokenizer/train_tokenizer.py | 11 ++-- megatron/training.py | 2 +- megatron/utils.py | 10 ++-- requirements/requirements-s3.txt | 2 +- tests/common.py | 6 +- tests/data/hf_cache/tokenizer/gpt2.json | 2 +- tests/data/sample_prompt.txt | 2 +- tests/model/test_fused_kernels.py | 4 +- tests/model/test_model_instantiation.py | 17 +++++- tests/model/test_model_train.py | 33 ++++++++--- tests/neox_args/test_neoxargs_usage.py | 2 +- tests/pytest.ini | 2 +- tests/unit/test_arguments.py | 10 ++-- tests/unit/test_format_conversion_scripts.py | 18 ++++-- tests/unit/test_launcher_scripts.py | 14 ++--- tests/unit/test_tokenizer.py | 11 +++- tests/unit/test_url_accessibility.py | 5 +- tools/__init__.py | 1 - tools/bash/README.md | 2 +- tools/ckpts/README.md | 14 ++--- tools/ckpts/convert_hf_to_sequential.py | 4 +- tools/ckpts/convert_module_to_hf.py | 4 +- tools/ckpts/convert_sequential_to_hf.py | 6 +- tools/datasets/merge_datasets.py | 4 +- tools/datasets/preprocess_data_with_mask.py | 4 +- train.py | 6 +- 41 files changed, 294 insertions(+), 121 deletions(-) diff --git a/.github/workflows/pull_request.yml b/.github/workflows/pull_request.yml index 7c9fdbe40..d05df91c3 100644 --- a/.github/workflows/pull_request.yml +++ b/.github/workflows/pull_request.yml @@ -12,6 +12,8 @@ jobs: python-version: 3.8 cache: "pip" cache-dependency-path: "**/requirements*.txt" + # Need the right version of clang-format + - run: pip install -r requirements/requirements-dev.txt - uses: pre-commit/action@v2.0.3 update-documentation: diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 991c74fb8..e9ca3920d 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -36,3 +36,4 @@ repos: --check-filenames, --check-hidden, ] + exclude: tests/data/hf_cache/tokenizer/gpt2.json diff --git a/configs/finetuning_configs/6-9B.yml b/configs/finetuning_configs/6-9B.yml index c6120d6d5..6598238cd 100755 --- a/configs/finetuning_configs/6-9B.yml +++ b/configs/finetuning_configs/6-9B.yml @@ -17,9 +17,9 @@ "no-weight-tying": true, "gpt_j_residual": true, "output_layer_parallelism": "column", - + "attention-config": [[["flash"], 32]], - + "scaled-upper-triang-masked-softmax-fusion": true, "bias-gelu-fusion": true, @@ -32,7 +32,7 @@ "eps": 1.0e-8 } }, - + "min_lr": 0.000012, "zero_optimization": { @@ -43,7 +43,7 @@ "reduce_scatter": true, "reduce_bucket_size": 1260000000, "contiguous_gradients": true, - "cpu_offload": false + "cpu_offload": false, "load_from_fp32_weights": False, # if checkpoint has fp16/bf16 params }, diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 14cb3a605..6448e793f 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -960,7 +960,7 @@ Text Generation arguments - **prompt_end**: str - Default = + Default = a single prompt's end. Defaults to newline @@ -1002,7 +1002,7 @@ Text Generation arguments - **eval_results_prefix**: str - Default = + Default = prefix to which to save evaluation results - final fp will be {eval_results_prefix}_eval_results_yy-mm-dd-HH-MM.json @@ -1752,7 +1752,7 @@ Args for deepspeed config Default = None - + @@ -2044,4 +2044,3 @@ Args for deepspeed runner (deepspeed.launcher.runner). Default = None Adds a `--comment` to the DeepSpeed launch command. In DeeperSpeed this is passed on to the SlurmLauncher as well. Sometime necessary for cluster rules, or so I've heard. - diff --git a/eval.py b/eval.py index 89d8963b0..7b7a74a6f 100644 --- a/eval.py +++ b/eval.py @@ -32,7 +32,9 @@ def main(input_args=None, overwrite_values=None): - model, neox_args = setup_for_inference_or_eval(use_cache=False, input_args=input_args, overwrite_values=overwrite_values) + model, neox_args = setup_for_inference_or_eval( + use_cache=False, input_args=input_args, overwrite_values=overwrite_values + ) results = run_eval_harness( model, forward_step, diff --git a/eval_tasks/eval_adapter.py b/eval_tasks/eval_adapter.py index 15dcdb1f2..63c4a4a72 100644 --- a/eval_tasks/eval_adapter.py +++ b/eval_tasks/eval_adapter.py @@ -146,7 +146,9 @@ def _collate(x): return (len(toks), x[0]) reord = utils.Reorderer(reqs, _collate) - for context, gen_kwargs in tqdm(reord.get_reordered(), "Running greedy generation"): + for context, gen_kwargs in tqdm( + reord.get_reordered(), "Running greedy generation" + ): if isinstance(gen_kwargs, dict): kwargs = copy.deepcopy(gen_kwargs) # edge case for repeats > 1 if "until" in kwargs.keys(): @@ -406,7 +408,7 @@ def run_eval( "winogrande", "mathqa", "pubmedqa", - "triviaqa" + "triviaqa", ] # register all the default tasks bundled with lm-evaluation-harness repository @@ -442,7 +444,14 @@ def pattern_match(patterns, source_list): lm = self if use_cache: - use_cache = 'lm_cache/neox' + '_dp_rank' + str(self._dp_rank) + '_dp_group' + str(self._dp_group) + '.db' + use_cache = ( + "lm_cache/neox" + + "_dp_rank" + + str(self._dp_rank) + + "_dp_group" + + str(self._dp_group) + + ".db" + ) print(f"Using cache at {use_cache}...") lm = lm_eval.api.model.CachingLM( lm, @@ -481,7 +490,7 @@ def pattern_match(patterns, source_list): results = evaluator.evaluate( lm=lm, task_dict=task_dict, - limit=10, #limit, + limit=10, # limit, bootstrap_iters=bootstrap_iters, log_samples=False, ) diff --git a/generate.py b/generate.py index c56dca72b..100950f00 100755 --- a/generate.py +++ b/generate.py @@ -30,7 +30,9 @@ def main(input_args=None, overwrite_values=None): """ Generate text/sample model """ - model, neox_args = setup_for_inference_or_eval(use_cache=True,input_args=input_args, overwrite_values=overwrite_values) + model, neox_args = setup_for_inference_or_eval( + use_cache=True, input_args=input_args, overwrite_values=overwrite_values + ) if neox_args.recompute: model.module.inference_mode( use_cache=False diff --git a/megatron/checkpointing.py b/megatron/checkpointing.py index 7b8ef1e84..bbaa0f7f9 100644 --- a/megatron/checkpointing.py +++ b/megatron/checkpointing.py @@ -30,11 +30,15 @@ try: import boto3 except ModuleNotFoundError: - print("For s3 checkpointing, please install boto3 either using requirements/requirements-s3.txt or https://github.com/boto/boto3") + print( + "For s3 checkpointing, please install boto3 either using requirements/requirements-s3.txt or https://github.com/boto/boto3" + ) try: import hf_transfer except ModuleNotFoundError: - print("For s3 checkpointing, please install hf_transfer either using requirements/requirements-s3.txt or https://github.com/huggingface/hf_transfer") + print( + "For s3 checkpointing, please install hf_transfer either using requirements/requirements-s3.txt or https://github.com/huggingface/hf_transfer" + ) import torch from glob import glob @@ -217,6 +221,8 @@ def save_ds_checkpoint(iteration, model, neox_args): f.write(config_data) else: json.dump(config_data, f) + + def multiprocessing_starmap(func, args, num_processes=None): """Wrapper to allow for re-usable multiprocessing pools with `spawn` context handling Args: @@ -225,8 +231,11 @@ def multiprocessing_starmap(func, args, num_processes=None): num_processes (int, optional): Number of processes to spawn. Defaults to `multiprocessing.cpu_count() - 1` """ import multiprocessing + num_processes = num_processes or (multiprocessing.cpu_count() - 1) - with multiprocessing.get_context("spawn").Pool(processes=num_processes) as process_pool: + with multiprocessing.get_context("spawn").Pool( + processes=num_processes + ) as process_pool: process_pool.starmap(func, args) process_pool.terminate() process_pool.join() @@ -253,7 +262,7 @@ def _upload( chunks in parallel (cannot exceed max_files). Defaults to 63 max_retries (int, optional): Number of retries for each chunk. Defaults to 5 """ - s3 = boto3.client('s3') + s3 = boto3.client("s3") bucket = s3_key.split("s3://")[1].split("/")[0] key = s3_key.split(bucket)[1].lstrip("/") @@ -304,24 +313,42 @@ def _upload( def upload_checkpoint(iteration, neox_args): - local_checkpoint_path = os.path.join(os.path.abspath(neox_args.save), get_checkpoint_tag(iteration)) - local_checkpoint_list = sorted(filter( - lambda x: os.path.isfile(x), - [str(p) for p in Path(local_checkpoint_path).rglob("*")], - )) + local_checkpoint_path = os.path.join( + os.path.abspath(neox_args.save), get_checkpoint_tag(iteration) + ) + local_checkpoint_list = sorted( + filter( + lambda x: os.path.isfile(x), + [str(p) for p in Path(local_checkpoint_path).rglob("*")], + ) + ) remote_checkpoint_path = os.path.join( - neox_args.s3_path, os.path.basename(neox_args.save), get_checkpoint_tag(iteration)) + neox_args.s3_path, + os.path.basename(neox_args.save), + get_checkpoint_tag(iteration), + ) remote_checkpoint_list = [ - os.path.join(remote_checkpoint_path, os.path.relpath(local_checkpoint, local_checkpoint_path)) + os.path.join( + remote_checkpoint_path, + os.path.relpath(local_checkpoint, local_checkpoint_path), + ) for local_checkpoint in local_checkpoint_list ] - inputs = zip(local_checkpoint_list, remote_checkpoint_list, [neox_args.s3_chunk_size] * len(local_checkpoint_list)) + inputs = zip( + local_checkpoint_list, + remote_checkpoint_list, + [neox_args.s3_chunk_size] * len(local_checkpoint_list), + ) - print_rank_0(f"[RANK {torch.distributed.get_rank()}] Uploading checkpoint `{local_checkpoint_path}` to `{remote_checkpoint_path}`...") + print_rank_0( + f"[RANK {torch.distributed.get_rank()}] Uploading checkpoint `{local_checkpoint_path}` to `{remote_checkpoint_path}`..." + ) start = time.time() multiprocessing_starmap(_upload, inputs) total_time = time.time() - start - print_rank_0(f"[RANK {torch.distributed.get_rank()}] Uploaded checkpoint `{local_checkpoint_path}` to `{remote_checkpoint_path}` in {total_time:.2f}s") + print_rank_0( + f"[RANK {torch.distributed.get_rank()}] Uploaded checkpoint `{local_checkpoint_path}` to `{remote_checkpoint_path}` in {total_time:.2f}s" + ) def save_checkpoint(neox_args, iteration, model, optimizer, lr_scheduler): @@ -395,7 +422,9 @@ def load_checkpoint( if "iteration" in state_dict: iteration = state_dict["iteration"] else: - iteration = state_dict.get("total_iters") # total_iters backward compatible with older checkpoints + iteration = state_dict.get( + "total_iters" + ) # total_iters backward compatible with older checkpoints if iteration is None: raise ValueError( f"Unable to load iteration from checkpoint {checkpoint_name} with keys {state_dict.keys()}, exiting" diff --git a/megatron/data/gpt2_dataset.py b/megatron/data/gpt2_dataset.py index ea2d58627..c222fb3da 100644 --- a/megatron/data/gpt2_dataset.py +++ b/megatron/data/gpt2_dataset.py @@ -82,16 +82,22 @@ def __getitem__(self, idx): offset_f = self.sample_idx[idx][1] offset_l = self.sample_idx[idx + 1][1] # Labels and texts are supposed to be fully in sync. - datasets = [self.indexed_dataset] if self.label_dataset is None else [self.indexed_dataset, self.label_dataset] + datasets = ( + [self.indexed_dataset] + if self.label_dataset is None + else [self.indexed_dataset, self.label_dataset] + ) samples = [] # If we are within the same document, just extract the chunk. for n, dataset in enumerate(datasets): if doc_index_f == doc_index_l: - samples.append(dataset.get( - self.doc_idx[doc_index_f], - offset=offset_f, - length=offset_l - offset_f + 1, - )) + samples.append( + dataset.get( + self.doc_idx[doc_index_f], + offset=offset_f, + length=offset_l - offset_f + 1, + ) + ) else: # Otherwise, get the rest of the initial document. sample_list = [ @@ -102,16 +108,17 @@ def __getitem__(self, idx): sample_list.append(dataset.get(self.doc_idx[i])) # And finally add the relevant portion of last document. sample_list.append( - dataset.get( - self.doc_idx[doc_index_l], length=offset_l + 1 - ) + dataset.get(self.doc_idx[doc_index_l], length=offset_l + 1) ) samples.append(np.concatenate(sample_list)) if len(datasets) == 1: return {"text": np.array(samples[0], dtype=np.int64)} else: - return {"text": np.array(samples[0], dtype=np.int64), "label": np.array(samples[1], dtype=np.int64)} + return { + "text": np.array(samples[0], dtype=np.int64), + "label": np.array(samples[1], dtype=np.int64), + } except IndexError: new_idx = idx % len(self) print( diff --git a/megatron/learning_rates.py b/megatron/learning_rates.py index d5d2640c9..f0fcca27e 100644 --- a/megatron/learning_rates.py +++ b/megatron/learning_rates.py @@ -76,7 +76,7 @@ def get_lr(self): elif self.decay_style == "cosine": end_iter_ = self.end_iter - self.warmup_iter lr = self.min_lr + ( - (self.start_lr-self.min_lr) + (self.start_lr - self.min_lr) / 2.0 * (math.cos(math.pi * num_iters_ / end_iter_) + 1) ) diff --git a/megatron/logging.py b/megatron/logging.py index afde680a5..ac404da85 100644 --- a/megatron/logging.py +++ b/megatron/logging.py @@ -99,7 +99,11 @@ def get_flops(neox_args, iter_time_s) -> float: * seq_len * num_layers * (hidden_size**2) - * (1.0 + (seq_len / (6.0 * hidden_size)) + (vocab_size / (16.0 * num_layers * hidden_size))) + * ( + 1.0 + + (seq_len / (6.0 * hidden_size)) + + (vocab_size / (16.0 * num_layers * hidden_size)) + ) ) return flops_per_iteration / (iter_time_s * world_size) diff --git a/megatron/model/flash_attention.py b/megatron/model/flash_attention.py index 9d3f212c1..d446f0a51 100644 --- a/megatron/model/flash_attention.py +++ b/megatron/model/flash_attention.py @@ -5,7 +5,7 @@ import torch.nn.functional as F from flash_attn import flash_attn_triton -import flash_attn_2_cuda as flash_attn_cuda # For flash_attn version 2.1.1 +import flash_attn_2_cuda as flash_attn_cuda # For flash_attn version 2.1.1 def flash_attn_unpadded_unpacked_func_triton( @@ -480,7 +480,16 @@ def _flash_attn_varlen_forward( ): maybe_contiguous = lambda x: x.contiguous() if x.stride(-1) != 1 else x q, k, v = [maybe_contiguous(x) for x in (q, k, v)] - out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.varlen_fwd( + ( + out, + q, + k, + v, + out_padded, + softmax_lse, + S_dmask, + rng_state, + ) = flash_attn_cuda.varlen_fwd( q, k, v, @@ -551,10 +560,28 @@ def _flash_attn_varlen_backward( class FlashAttnVarlenQKVPackedFunc(torch.autograd.Function): @staticmethod - def forward(ctx, qkv, cu_seqlens, max_seqlen, dropout_p, softmax_scale, causal, return_softmax): + def forward( + ctx, + qkv, + cu_seqlens, + max_seqlen, + dropout_p, + softmax_scale, + causal, + return_softmax, + ): if softmax_scale is None: softmax_scale = qkv.shape[-1] ** (-0.5) - out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_varlen_forward( + ( + out, + q, + k, + v, + out_padded, + softmax_lse, + S_dmask, + rng_state, + ) = _flash_attn_varlen_forward( qkv[:, 0], qkv[:, 1], qkv[:, 2], @@ -661,7 +688,16 @@ def forward( ): if softmax_scale is None: softmax_scale = q.shape[-1] ** (-0.5) - out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_varlen_forward( + ( + out, + q, + k, + v, + out_padded, + softmax_lse, + S_dmask, + rng_state, + ) = _flash_attn_varlen_forward( q, kv[:, 0], kv[:, 1], @@ -686,7 +722,16 @@ def forward( @staticmethod def backward(ctx, dout, *args): - q, k, v, out, softmax_lse, cu_seqlens_q, cu_seqlens_k, rng_state = ctx.saved_tensors + ( + q, + k, + v, + out, + softmax_lse, + cu_seqlens_q, + cu_seqlens_k, + rng_state, + ) = ctx.saved_tensors dq = torch.empty_like(q) kv_shape = k.shape[:-2] + (2, *k.shape[-2:]) dkv = torch.empty(kv_shape, dtype=k.dtype, device=k.device) diff --git a/megatron/model/gpt2_model.py b/megatron/model/gpt2_model.py index 2725614cd..ce9c39da9 100644 --- a/megatron/model/gpt2_model.py +++ b/megatron/model/gpt2_model.py @@ -48,7 +48,9 @@ def gpt2_attention_mask_func(attention_scores, ltor_mask): mask_value = torch.finfo(attention_scores.dtype).min # Need to be a tensor, otherwise we get error: `RuntimeError: expected scalar type float but found double`. # Need to be on the same device, otherwise `RuntimeError: ..., x and y to be on the same device` - mask_value = torch.tensor(mask_value, dtype=attention_scores.dtype, device=attention_scores.device) + mask_value = torch.tensor( + mask_value, dtype=attention_scores.dtype, device=attention_scores.device + ) attention_scores.masked_fill_(ltor_mask, mask_value) return attention_scores diff --git a/megatron/neox_arguments/arguments.py b/megatron/neox_arguments/arguments.py index bf34df842..8cd5881f7 100644 --- a/megatron/neox_arguments/arguments.py +++ b/megatron/neox_arguments/arguments.py @@ -731,8 +731,14 @@ def configure_distributed_args(self): if self.deepspeed_slurm: os.environ["LOCAL_RANK"] = os.environ["SLURM_LOCALID"] os.environ["RANK"] = os.environ["SLURM_PROCID"] - os.environ["WORLD_SIZE"] = os.environ["SLURM_NTASKS"] if os.environ.get("SLURM_NTASKS") is not None \ - else str(int(os.environ["SLURM_NNODES"]) * int(os.environ["SLURM_NTASKS_PER_NODE"])) + os.environ["WORLD_SIZE"] = ( + os.environ["SLURM_NTASKS"] + if os.environ.get("SLURM_NTASKS") is not None + else str( + int(os.environ["SLURM_NNODES"]) + * int(os.environ["SLURM_NTASKS_PER_NODE"]) + ) + ) self.update_value("local_rank", int(os.getenv("LOCAL_RANK", "0"))) self.update_value("rank", int(os.getenv("RANK", "0"))) diff --git a/megatron/neox_arguments/neox_args.py b/megatron/neox_arguments/neox_args.py index e025f6f8a..1d58a76ab 100644 --- a/megatron/neox_arguments/neox_args.py +++ b/megatron/neox_arguments/neox_args.py @@ -392,7 +392,14 @@ class NeoXArgsOptimizer(NeoXArgsTemplate): """ optimizer_type: Literal[ - "adam", "onebitadam", "cpu_adam", "cpu_torch_adam", "sm3", "madgrad_wd", "sgd", "lion" + "adam", + "onebitadam", + "cpu_adam", + "cpu_torch_adam", + "sm3", + "madgrad_wd", + "sgd", + "lion", ] = "adam" """ Type of optimizer to use. Choose from ['adam', 'onebitadam', 'cpu_adam', 'cpu_torch_adam', 'sm3', 'madgrad_wd', 'sgd', 'lion'] @@ -806,7 +813,7 @@ class NeoXArgsTraining(NeoXArgsTemplate): s3_chunk_size: int = 104_857_600 """ The number of bytes in each file chunk when uploading to s3. Defaults to 100MiB. - """ + """ config_files: dict = None """ diff --git a/megatron/tokenizer/train_tokenizer.py b/megatron/tokenizer/train_tokenizer.py index d099e9eab..72b244a9b 100644 --- a/megatron/tokenizer/train_tokenizer.py +++ b/megatron/tokenizer/train_tokenizer.py @@ -118,11 +118,12 @@ def parse_args(input_args=None): def main(args): train_tokenizer( - args.json_input_dir, - save_path=args.tokenizer_output_path, - tokenizer_type=args.tokenizer_type, - vocab_size=args.vocab_size, - ) + args.json_input_dir, + save_path=args.tokenizer_output_path, + tokenizer_type=args.tokenizer_type, + vocab_size=args.vocab_size, + ) + if __name__ == "__main__": args = parse_args() diff --git a/megatron/training.py b/megatron/training.py index 31dc5d444..e4e858574 100644 --- a/megatron/training.py +++ b/megatron/training.py @@ -532,7 +532,7 @@ def get_optimizer(model, neox_args): optimizer = Lion( param_groups, weight_decay=neox_args.weight_decay, - **neox_args.optimizer["params"] + **neox_args.optimizer["params"], ) elif neox_args.optimizer_type.lower() == "adam": # Use Adam diff --git a/megatron/utils.py b/megatron/utils.py index c15d6352c..3769495d9 100644 --- a/megatron/utils.py +++ b/megatron/utils.py @@ -405,11 +405,7 @@ def get_total_params(model): return total_n_parameters -def setup_for_inference_or_eval( - use_cache=True, - overwrite_values=None, - input_args=None -): +def setup_for_inference_or_eval(use_cache=True, overwrite_values=None, input_args=None): """ Initializes the model for evaluation or inference (doesn't load optimizer states, etc.) from command line args. @@ -432,7 +428,9 @@ def setup_for_inference_or_eval( } if overwrite_values: _overwrite_values.update(overwrite_values) - neox_args = NeoXArgs.consume_neox_args(overwrite_values=_overwrite_values,input_args=input_args) + neox_args = NeoXArgs.consume_neox_args( + overwrite_values=_overwrite_values, input_args=input_args + ) neox_args.configure_distributed_args() neox_args.build_tokenizer() diff --git a/requirements/requirements-s3.txt b/requirements/requirements-s3.txt index 7a2924ccd..fbf031fe4 100644 --- a/requirements/requirements-s3.txt +++ b/requirements/requirements-s3.txt @@ -1,2 +1,2 @@ +boto3 hf-transfer>=0.1.3 -boto3 \ No newline at end of file diff --git a/tests/common.py b/tests/common.py index fdb644df4..d2659b453 100644 --- a/tests/common.py +++ b/tests/common.py @@ -106,6 +106,7 @@ def get_config_directory(): def get_configs_with_path(configs): return [str(get_config_directory() / cfg) for cfg in configs] + def clear_test_dirs(): log_dir = os.path.join(get_root_directory(), TEST_LOG_DIR) if os.path.isdir(log_dir): @@ -277,6 +278,7 @@ def model_setup(yaml_list=None, param_dict=None, clear_data=True): def simulate_deepy_env(monkeypatch, input_args): from megatron.neox_arguments import NeoXArgs + monkeypatch.setenv("WORLD_SIZE", "1") monkeypatch.setenv("RANK", "0") neox_args = NeoXArgs.consume_deepy_args(input_args) @@ -318,7 +320,9 @@ def model_setup_simple(deepspeed_main_args, overwrite_values, iteration=None): from megatron import initialize_megatron from megatron.training import setup_model_and_optimizer - neox_args = NeoXArgs.consume_neox_args(input_args=deepspeed_main_args, overwrite_values=overwrite_values) + neox_args = NeoXArgs.consume_neox_args( + input_args=deepspeed_main_args, overwrite_values=overwrite_values + ) neox_args.configure_distributed_args() neox_args.build_tokenizer() initialize_megatron(neox_args=neox_args) diff --git a/tests/data/hf_cache/tokenizer/gpt2.json b/tests/data/hf_cache/tokenizer/gpt2.json index f53f61f36..6dd16ac31 100644 --- a/tests/data/hf_cache/tokenizer/gpt2.json +++ b/tests/data/hf_cache/tokenizer/gpt2.json @@ -100302,4 +100302,4 @@ "Ġg azed" ] } -} \ No newline at end of file +} diff --git a/tests/data/sample_prompt.txt b/tests/data/sample_prompt.txt index 9bf4046fa..3fa342964 100644 --- a/tests/data/sample_prompt.txt +++ b/tests/data/sample_prompt.txt @@ -1 +1 @@ -Hello, I'm a language model \ No newline at end of file +Hello, I'm a language model diff --git a/tests/model/test_fused_kernels.py b/tests/model/test_fused_kernels.py index c283cd41e..81a596f71 100644 --- a/tests/model/test_fused_kernels.py +++ b/tests/model/test_fused_kernels.py @@ -29,7 +29,9 @@ ) -@pytest.mark.xfail(reason="ModuleNotFoundError: No module named 'scaled_masked_softmax_cuda'") +@pytest.mark.xfail( + reason="ModuleNotFoundError: No module named 'scaled_masked_softmax_cuda'" +) def test_load_fused_kernels(): try: import scaled_masked_softmax_cuda diff --git a/tests/model/test_model_instantiation.py b/tests/model/test_model_instantiation.py index 4bbe15829..ad57a2c5f 100644 --- a/tests/model/test_model_instantiation.py +++ b/tests/model/test_model_instantiation.py @@ -20,7 +20,13 @@ import torch import os -from tests.common import distributed_test, model_setup, clear_test_dirs, parametrize, binary +from tests.common import ( + distributed_test, + model_setup, + clear_test_dirs, + parametrize, + binary, +) PARAMS_TO_TEST = { "pipe_parallel_size,model_parallel_size,world_size": [ @@ -68,7 +74,10 @@ PARAMS_TO_TEST, max_tests=int(os.getenv("MAX_TESTCASES", 50)), seed=None ) -@pytest.mark.xfail(reason="Either fused kernels are not installed, or Cannot re-initialize CUDA in forked subprocess'") + +@pytest.mark.xfail( + reason="Either fused kernels are not installed, or Cannot re-initialize CUDA in forked subprocess'" +) @pytest.mark.parametrize("param_dict", parameters, ids=names) def test_instantiate(param_dict): @distributed_test(world_size=param_dict.pop("world_size", 2)) @@ -94,7 +103,9 @@ def wrapper(): ) -@pytest.mark.xfail(reason="Either fused kernels are not installed, or 'Cannot re-initialize CUDA in forked subprocess'") +@pytest.mark.xfail( + reason="Either fused kernels are not installed, or 'Cannot re-initialize CUDA in forked subprocess'" +) @pytest.mark.parametrize("param_dict", opt_params, ids=opt_name) def test_instantiate_optimizers(param_dict): @distributed_test(world_size=2) diff --git a/tests/model/test_model_train.py b/tests/model/test_model_train.py index f9ac42d6c..0138a7f79 100644 --- a/tests/model/test_model_train.py +++ b/tests/model/test_model_train.py @@ -29,26 +29,41 @@ PARAMS_TO_TEST = { "gpt_j_residual": [True, False], "mlp_type": ["llama", "regular"], - "pos_emb": ['learned', 'rotary', 'sinusoidal', 'rpe', 'alibi', 'none'], - "attention_config": - ["global", "local", "sparse_fixed", "sparse_variable", "bigbird", "bslongformer", "gmlp", "amlp", "flash"], + "pos_emb": ["learned", "rotary", "sinusoidal", "rpe", "alibi", "none"], + "attention_config": [ + "global", + "local", + "sparse_fixed", + "sparse_variable", + "bigbird", + "bslongformer", + "gmlp", + "amlp", + "flash", + ], "hidden_dropout": [0, 0.1], "weight_decay": [0, 0.1], "use_bias_in_attn_linear": [True, False], "use_bias_in_norms": [True, False], - "precision": ["fp16", "fp32", "bfloat16"] + "precision": ["fp16", "fp32", "bfloat16"], } keys_to_test = PARAMS_TO_TEST.keys() -@pytest.mark.parametrize("key, value", [(key, value) for key in keys_to_test for value in PARAMS_TO_TEST[key]]) + +@pytest.mark.parametrize( + "key, value", + [(key, value) for key in keys_to_test for value in PARAMS_TO_TEST[key]], +) def test_model_training_options(monkeypatch, key, value): # TODO: Possibly add testing over world_size=2 back in neox_args = NeoXArgs.from_dict(BASE_CONFIG) - if getattr(neox_args,key) == value: + if getattr(neox_args, key) == value: pytest.skip("Skipping to avoid redundancy as no change in base config") if key == "precision" and value == "bfloat16": - pytest.xfail(reason="Assumes that ZeRO optimization stage has been set in the YAML") + pytest.xfail( + reason="Assumes that ZeRO optimization stage has been set in the YAML" + ) param_dict = {key: value} run_train_test(monkeypatch, overwrite_values=param_dict) @@ -67,7 +82,9 @@ def run_train_test(monkeypatch, overwrite_values: dict): side_effect=lambda x: loss_per_iteration.append(x), ): train.main(input_args=deepspeed_main_args, overwrite_values=overwrite_values) - assert len(loss_per_iteration) == max_train_iters, "patching should have collected loss values from each train step" + assert ( + len(loss_per_iteration) == max_train_iters + ), "patching should have collected loss values from each train step" # loss should have decreased by now (otherwise increasing the max_steps parameter could have the testcase pass) assert min(loss_per_iteration) < loss_per_iteration[0], ( diff --git a/tests/neox_args/test_neoxargs_usage.py b/tests/neox_args/test_neoxargs_usage.py index 27243c48d..40532f23e 100644 --- a/tests/neox_args/test_neoxargs_usage.py +++ b/tests/neox_args/test_neoxargs_usage.py @@ -51,7 +51,7 @@ def test_neoxargs_usage(): "build_tokenizer", "attention_config[i]", "print", - "update" + "update", ] ) diff --git a/tests/pytest.ini b/tests/pytest.ini index 06dc59626..c2bb21d77 100644 --- a/tests/pytest.ini +++ b/tests/pytest.ini @@ -17,4 +17,4 @@ markers = cpu: marks tests that can be run on cpu filterwarnings = ignore::DeprecationWarning:pkg_resources.* - ignore::DeprecationWarning:torch.* \ No newline at end of file + ignore::DeprecationWarning:torch.* diff --git a/tests/unit/test_arguments.py b/tests/unit/test_arguments.py index 4bbda398e..501748366 100644 --- a/tests/unit/test_arguments.py +++ b/tests/unit/test_arguments.py @@ -17,7 +17,7 @@ def test_main_constructor(): - input_args = ['train.py', 'tests/config/test_setup.yml'] + input_args = ["train.py", "tests/config/test_setup.yml"] neox_args = NeoXArgs.consume_deepy_args(input_args) deepspeed_main_args = neox_args.get_deepspeed_main_args() neox_args = NeoXArgs.consume_neox_args(input_args=deepspeed_main_args) @@ -25,17 +25,17 @@ def test_main_constructor(): def test_constructor_from_ymls(): - @distributed_test(world_size=[1,2]) + @distributed_test(world_size=[1, 2]) def _test_constructor_from_ymls(): - neox_args = NeoXArgs.from_ymls(['tests/config/test_setup.yml']) + neox_args = NeoXArgs.from_ymls(["tests/config/test_setup.yml"]) neox_args.configure_distributed_args() _test_constructor_from_ymls() def test_constructor_from_dict(): - @distributed_test(world_size=[1,2]) + @distributed_test(world_size=[1, 2]) def _test_constructor_from_dict(): neox_args = NeoXArgs.from_dict(BASE_CONFIG) - + _test_constructor_from_dict() diff --git a/tests/unit/test_format_conversion_scripts.py b/tests/unit/test_format_conversion_scripts.py index 44465c6ef..9c78c962d 100644 --- a/tests/unit/test_format_conversion_scripts.py +++ b/tests/unit/test_format_conversion_scripts.py @@ -1,11 +1,12 @@ - import pytest from tools.ckpts import convert_sequential_to_hf from tests.common import simulate_deepy_env, save_random_model from megatron.neox_arguments.neox_args import NeoXArgsTokenizer # Test is failing; possibly we resolve by using the word embedding weights in the 'layer_00-model_00-model_states.pt' file? -@pytest.mark.xfail(reason="Failing to find 'word_embeddings.weight' in state_dict['module'] from the 'mp_rank_00_model_states.pt' file") +@pytest.mark.xfail( + reason="Failing to find 'word_embeddings.weight' in state_dict['module'] from the 'mp_rank_00_model_states.pt' file" +) def test_gpt_neox_to_huggingface(monkeypatch, tmpdir, tmp_path): # Generate random GPT-NEOX model, check we can convert to hf format model_dir = str(tmpdir) @@ -14,6 +15,15 @@ def test_gpt_neox_to_huggingface(monkeypatch, tmpdir, tmp_path): save_random_model(deepspeed_main_args, model_dir, train_iters=1) # Generate output - script_args = ["--config_file", "tests/config/test_setup.yml", "--input_dir", model_dir+"/global_step1", "--output_dir", model_dir] + script_args = [ + "--config_file", + "tests/config/test_setup.yml", + "--input_dir", + model_dir + "/global_step1", + "--output_dir", + model_dir, + ] overwrite_values = {"tokenizer_type": NeoXArgsTokenizer.tokenizer_type} - convert_sequential_to_hf.main(input_args=script_args, overwrite_values=overwrite_values) \ No newline at end of file + convert_sequential_to_hf.main( + input_args=script_args, overwrite_values=overwrite_values + ) diff --git a/tests/unit/test_launcher_scripts.py b/tests/unit/test_launcher_scripts.py index 38c42c44d..626788b59 100644 --- a/tests/unit/test_launcher_scripts.py +++ b/tests/unit/test_launcher_scripts.py @@ -8,6 +8,7 @@ from megatron.neox_arguments import NeoXArgs from tests.common import simulate_deepy_env, save_random_model + @pytest.fixture( params=[ "HFGPT2Tokenizer", @@ -21,10 +22,12 @@ def tokenizer_type(request): return request.param + @pytest.fixture(params=[None, "tests/data/sample_prompt.txt"]) def sample_input_file(request): return request.param + @pytest.mark.cpu def test_preprocess_data(tokenizer_type): if tokenizer_type == "SPMTokenizer": @@ -55,10 +58,7 @@ def test_preprocess_data(tokenizer_type): def test_generate(monkeypatch, tmpdir, tmp_path, sample_input_file): model_dir = str(tmpdir) sample_output_file = str(tmp_path) + ".txt" - input_args = [ - "generate.py", - "tests/config/test_setup.yml" - ] + input_args = ["generate.py", "tests/config/test_setup.yml"] deepspeed_main_args = simulate_deepy_env(monkeypatch, input_args) save_random_model(deepspeed_main_args, model_dir) @@ -74,10 +74,7 @@ def test_generate(monkeypatch, tmpdir, tmp_path, sample_input_file): def test_evaluate(monkeypatch, tmpdir, tmp_path): model_dir = str(tmpdir) sample_output_file = str(tmp_path) - input_args = [ - "generate.py", - "tests/config/test_setup.yml" - ] + input_args = ["generate.py", "tests/config/test_setup.yml"] deepspeed_main_args = simulate_deepy_env(monkeypatch, input_args) save_random_model(deepspeed_main_args, model_dir) @@ -108,4 +105,3 @@ def test_train_launcher(monkeypatch): input_args = ["train.py", "tests/config/test_setup.yml"] deepspeed_main_args = simulate_deepy_env(monkeypatch, input_args) train.main(input_args=deepspeed_main_args) - diff --git a/tests/unit/test_tokenizer.py b/tests/unit/test_tokenizer.py index b19501687..88e8f513c 100644 --- a/tests/unit/test_tokenizer.py +++ b/tests/unit/test_tokenizer.py @@ -1,9 +1,14 @@ import pytest from megatron.tokenizer import train_tokenizer + @pytest.mark.cpu def test_train_tokenizer(): - input_args = ["--json_input_dir", - "./tests/data/enwik8_first100.txt", "--tokenizer_output_path", ""] + input_args = [ + "--json_input_dir", + "./tests/data/enwik8_first100.txt", + "--tokenizer_output_path", + "", + ] args = train_tokenizer.parse_args(input_args) - train_tokenizer.main(args) \ No newline at end of file + train_tokenizer.main(args) diff --git a/tests/unit/test_url_accessibility.py b/tests/unit/test_url_accessibility.py index c583f6296..861723f95 100644 --- a/tests/unit/test_url_accessibility.py +++ b/tests/unit/test_url_accessibility.py @@ -6,19 +6,20 @@ def check_url_accessible(url): try: - response = requests.head(url, timeout = 5) + response = requests.head(url, timeout=5) response.raise_for_status() return True except requests.exceptions.RequestException as e: print(f"Error: Unable to access URL - {e}") return False + @pytest.mark.cpu @pytest.mark.parametrize("dataset_name", list(DATA_DOWNLOADERS.keys())) def test_url_accessibility(dataset_name): if dataset_name == "pass": return elif not dataset_name == "enwik8": - pytest.xfail() + pytest.xfail() for url in DATA_DOWNLOADERS[dataset_name].urls: assert check_url_accessible(url) diff --git a/tools/__init__.py b/tools/__init__.py index 8b1378917..e69de29bb 100644 --- a/tools/__init__.py +++ b/tools/__init__.py @@ -1 +0,0 @@ - diff --git a/tools/bash/README.md b/tools/bash/README.md index 5b7ed897c..95a307240 100644 --- a/tools/bash/README.md +++ b/tools/bash/README.md @@ -1,5 +1,5 @@ # Bash Scripts -Useful for running distributed per-node scripts on e.g. Kubernetes +Useful for running distributed per-node scripts on e.g. Kubernetes * `kill.sh` kills all python processes * `killall.sh` uses pdsh to kill all `train.py` processes on the nodes listed in `/job/hosts/` diff --git a/tools/ckpts/README.md b/tools/ckpts/README.md index 1b6a1c55e..24d5cf31c 100644 --- a/tools/ckpts/README.md +++ b/tools/ckpts/README.md @@ -3,7 +3,7 @@ ## Utilities -### `inspect_checkpoints.py` +### `inspect_checkpoints.py` Reports information about a saved checkpoint. ``` usage: inspect_checkpoints.py [-h] [--attributes [ATTRIBUTES ...]] [--interactive] [--compare] [--diff] dir @@ -23,7 +23,7 @@ options: ## HuggingFace Scripts -### `convert_hf_to_sequential.py` +### `convert_hf_to_sequential.py` A script for converting publicly available Huggingface (HF) checkpoints to NeoX format. Note that this script requires access to corresponding config files for equivalent NeoX models to those found in Hugging face. @@ -46,7 +46,7 @@ NOTE: This requires manually changing the arguments below. CUDA_VISIBLE_DEVICES=0,1,2,3 python ./deepy.py tools/ckpts/convert_hf_to_sequential.py \ -d configs pythia/70M.yml local_setup.yml ``` -### `convert_module_to_hf.py` +### `convert_module_to_hf.py` Converts a NeoX model with pipeline parallelism greater than 1 to a HuggingFace transformers `GPTNeoXForCausalLM` model Note that this script does not support all NeoX features. @@ -70,7 +70,7 @@ options: --upload Set to true in order to upload to the HF Hub directly. ``` -### `convert_sequential_to_hf.py` +### `convert_sequential_to_hf.py` Converts a NeoX model without pipeline parallelism to a HuggingFace transformers `GPTNeoXForCausalLM` model. ``` @@ -88,7 +88,7 @@ options: Output dir, where to save the HF Model, tokenizer, and configs --upload Set to true in order to upload to the HF Hub directly. ``` -### `upload.py` +### `upload.py` Uploads a _converted_ checkpoint to the HuggingFace hub. ``` @@ -96,7 +96,7 @@ python upload.py ``` ## NeoX-20B Scripts -### `merge20b.py` +### `merge20b.py` Reduces model and pipeline parallelism of a 20B checkpoint to 1 and 1. ``` @@ -113,7 +113,7 @@ options: ``` ## Llama Scripts -### `convert_raw_llama_weights_to_neox.py` +### `convert_raw_llama_weights_to_neox.py` Takes a Llama checkpoint and puts it into a NeoX-compatible format. ``` diff --git a/tools/ckpts/convert_hf_to_sequential.py b/tools/ckpts/convert_hf_to_sequential.py index be445ec72..5a5f3bbad 100644 --- a/tools/ckpts/convert_hf_to_sequential.py +++ b/tools/ckpts/convert_hf_to_sequential.py @@ -14,7 +14,9 @@ from transformers import GPTNeoXForCausalLM, GPTNeoXConfig sys.path.append( - os.path.abspath(os.path.join(os.path.dirname(__file__), os.path.pardir, os.path.pardir)) + os.path.abspath( + os.path.join(os.path.dirname(__file__), os.path.pardir, os.path.pardir) + ) ) from megatron.neox_arguments import NeoXArgs from megatron.training import get_model, get_optimizer, get_learning_rate_scheduler diff --git a/tools/ckpts/convert_module_to_hf.py b/tools/ckpts/convert_module_to_hf.py index 9a5823cb9..c776a2817 100644 --- a/tools/ckpts/convert_module_to_hf.py +++ b/tools/ckpts/convert_module_to_hf.py @@ -25,7 +25,9 @@ sys.path.append( - os.path.abspath(os.path.join(os.path.dirname(__file__), os.path.pardir, os.path.pardir)) + os.path.abspath( + os.path.join(os.path.dirname(__file__), os.path.pardir, os.path.pardir) + ) ) from megatron.tokenizer import build_tokenizer diff --git a/tools/ckpts/convert_sequential_to_hf.py b/tools/ckpts/convert_sequential_to_hf.py index 2059bdb96..f40a1d233 100644 --- a/tools/ckpts/convert_sequential_to_hf.py +++ b/tools/ckpts/convert_sequential_to_hf.py @@ -25,7 +25,9 @@ from typing import List sys.path.append( - os.path.abspath(os.path.join(os.path.dirname(__file__), os.path.pardir, os.path.pardir)) + os.path.abspath( + os.path.join(os.path.dirname(__file__), os.path.pardir, os.path.pardir) + ) ) from megatron.tokenizer import build_tokenizer @@ -378,4 +380,4 @@ def main(input_args=None, overwrite_values=None): # `pip install --upgrade transformers` # `huggingface-cli login` # - main() \ No newline at end of file + main() diff --git a/tools/datasets/merge_datasets.py b/tools/datasets/merge_datasets.py index 4239c5eb5..21567bd80 100644 --- a/tools/datasets/merge_datasets.py +++ b/tools/datasets/merge_datasets.py @@ -4,7 +4,9 @@ import argparse sys.path.append( - os.path.abspath(os.path.join(os.path.dirname(__file__), os.path.pardir, os.path.pardir)) + os.path.abspath( + os.path.join(os.path.dirname(__file__), os.path.pardir, os.path.pardir) + ) ) from megatron.data import indexed_dataset diff --git a/tools/datasets/preprocess_data_with_mask.py b/tools/datasets/preprocess_data_with_mask.py index 093d94b2f..b2fba73ec 100644 --- a/tools/datasets/preprocess_data_with_mask.py +++ b/tools/datasets/preprocess_data_with_mask.py @@ -62,7 +62,9 @@ import numpy as np sys.path.append( - os.path.abspath(os.path.join(os.path.dirname(__file__), os.path.pardir, os.path.pardir)) + os.path.abspath( + os.path.join(os.path.dirname(__file__), os.path.pardir, os.path.pardir) + ) ) import time import tqdm diff --git a/train.py b/train.py index 24d72a7ff..5f4ddce53 100644 --- a/train.py +++ b/train.py @@ -19,12 +19,16 @@ from megatron.neox_arguments import NeoXArgs from megatron.training import pretrain + def main(input_args=None, overwrite_values=None): - neox_args = NeoXArgs.consume_neox_args(input_args=input_args, overwrite_values=overwrite_values) + neox_args = NeoXArgs.consume_neox_args( + input_args=input_args, overwrite_values=overwrite_values + ) neox_args.configure_distributed_args() neox_args.build_tokenizer() # tokenizer needs to be build in training in order to set the padding vocab neox_args.initialize_tensorboard_writer() # is initialized if tensorboard directory is defined pretrain(neox_args=neox_args) + if __name__ == "__main__": main() From 98716ebb4818498fe118ddb07c62bfa94a48da2a Mon Sep 17 00:00:00 2001 From: Yang Zhang <7129+yang@users.noreply.github.com> Date: Thu, 4 Jan 2024 10:27:38 -0800 Subject: [PATCH 33/99] Fix install, Dockerfile, CI (#1104) * Add missing jinja2 dep Missing transitive dep of lm_eval * Fix Dockerfile Only devel has nvcc, needed to build packages And don't rebuild fused kernels if no relevant change * Ensure Dockerfile builds in CI Also ensures that install actually works --------- Co-authored-by: Yang Zhang --- .github/workflows/pull_request.yml | 7 +++++++ Dockerfile | 18 +++++++++--------- requirements/requirements.txt | 1 + 3 files changed, 17 insertions(+), 9 deletions(-) diff --git a/.github/workflows/pull_request.yml b/.github/workflows/pull_request.yml index d05df91c3..8ee2f2a62 100644 --- a/.github/workflows/pull_request.yml +++ b/.github/workflows/pull_request.yml @@ -15,6 +15,13 @@ jobs: # Need the right version of clang-format - run: pip install -r requirements/requirements-dev.txt - uses: pre-commit/action@v2.0.3 + - + name: Set up Docker Buildx + uses: docker/setup-buildx-action@v1 + - + name: Docker build + id: docker_build + uses: docker/build-push-action@v2 update-documentation: runs-on: ubuntu-20.04 diff --git a/Dockerfile b/Dockerfile index 3d7295b43..8de2011f5 100644 --- a/Dockerfile +++ b/Dockerfile @@ -12,7 +12,7 @@ # See the License for the specific language governing permissions and # limitations under the License. -FROM nvidia/cuda:11.7.1-runtime-ubuntu20.04 +FROM nvidia/cuda:11.7.1-devel-ubuntu20.04 ENV DEBIAN_FRONTEND=noninteractive @@ -21,7 +21,7 @@ LABEL org.opencontainers.image.version = "2.0" LABEL org.opencontainers.image.authors = "contact@eleuther.ai" LABEL org.opencontainers.image.source = "https://www.github.com/eleutherai/gpt-neox" LABEL org.opencontainers.image.licenses = " Apache-2.0" -LABEL org.opencontainers.image.base.name="docker.io/nvidia/cuda:11.7.1-runtime-ubuntu20.04" +LABEL org.opencontainers.image.base.name="docker.io/nvidia/cuda:11.7.1-devel-ubuntu20.04" #### System package (uses default Python 3 version in Ubuntu 20.04) RUN apt-get update -y && \ @@ -94,17 +94,17 @@ COPY requirements/requirements-wandb.txt . COPY requirements/requirements-onebitadam.txt . COPY requirements/requirements-sparseattention.txt . COPY requirements/requirements-flashattention.txt . -RUN pip install -r requirements.txt && pip install -r requirements-onebitadam.txt && \ - pip install -r requirements-sparseattention.txt && \ - pip install -r requirements-flashattention.txt && \ - pip install -r requirements-wandb.txt && \ - pip install protobuf==3.20.* && \ - pip cache purge +RUN pip install -r requirements.txt && pip install -r requirements-onebitadam.txt +RUN pip install -r requirements-sparseattention.txt +RUN pip install -r requirements-flashattention.txt +RUN pip install -r requirements-wandb.txt +RUN pip install protobuf==3.20.* +RUN pip cache purge ## Install APEX RUN pip install -v --disable-pip-version-check --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" git+https://github.com/NVIDIA/apex.git@a651e2c24ecf97cbf367fd3f330df36760e1c597 -COPY megatron/ megatron +COPY megatron/fused_kernels/ megatron/fused_kernels RUN python megatron/fused_kernels/setup.py install # Clear staging diff --git a/requirements/requirements.txt b/requirements/requirements.txt index 807a55974..f1beae87a 100644 --- a/requirements/requirements.txt +++ b/requirements/requirements.txt @@ -3,6 +3,7 @@ git+https://github.com/EleutherAI/DeeperSpeed.git@b9260436e7da3e297fc6bedfd27d9e ftfy>=6.0.1 git+https://github.com/EleutherAI/lm_dataformat.git@4eec05349977071bf67fc072290b95e31c8dd836 huggingface_hub>=0.11.0 +jinja2==3.1.2 git+https://github.com/EleutherAI/lm-evaluation-harness.git@main#egg=lm_eval mpi4py>=3.0.3 numpy>=1.22.0 From 77605caba86bbc6d9f691a998b3f07d8c6bd9f7c Mon Sep 17 00:00:00 2001 From: Yang Zhang <7129+yang@users.noreply.github.com> Date: Fri, 5 Jan 2024 08:14:08 -0800 Subject: [PATCH 34/99] Fused Rotary Embeddings (fixed) (#1108) * Create fused_rotary_positional_embedding.cpp * Create fused_rotary_positional_embedding.h * Create fused_rotary_positional_embedding_cuda.cu * Update fused_rotary_positional_embedding.h Ports the fix from https://github.com/NVIDIA/apex/pull/1750 into this branch. * Update neox_args.py * Update setup.py * Update initialize.py * Update setup.py * Update __init__.py * Update test_fused_kernels.py * Update setup.py * Create fused_rope.py * Update fused_rotary_positional_embedding.h * Update fused_rotary_positional_embedding.cpp * Update fused_rotary_positional_embedding.cpp * Update transformer.py * Update transformer.py Just checked and this should work for bf16. Or, at least, the reason I originally thought it wouldn't doesn't apply. * Update transformer.py * Create 125M_fused_rope.yml * Update 125M_fused_rope.yml * Update transformer.py Add `self.rope_fusion = neox_args.rope_fusion` so that `ParallelSelfAttention` knows if we're using rope fusion. * Update NeoXArgs docs automatically * Update NeoXArgs docs automatically * Fix fused rope Just needed to bring in the latest headers/sources, and call into it the right way from transformers.py. * Add rope_fusion arg to all ymls --------- Co-authored-by: Stella Biderman Co-authored-by: github-actions Co-authored-by: Quentin Anthony Co-authored-by: Yang Zhang --- configs/1-3B.yml | 1 + configs/125M-json.yml | 1 + configs/125M.yml | 1 + configs/13B.yml | 1 + configs/175B.yml | 1 + configs/19M.yml | 1 + configs/2-7B.yml | 1 + configs/20B.yml | 1 + configs/350M.yml | 1 + configs/49M.yml | 1 + configs/6-7B.yml | 1 + configs/760M.yml | 1 + configs/800M.yml | 1 + configs/bf16_125M.yml | 1 + configs/bnb_125M.yml | 1 + configs/neox_arguments.md | 8 + configs/slurm_125M.yml | 1 + megatron/fused_kernels/__init__.py | 1 + .../fused_rotary_positional_embedding.cpp | 139 ++++++ .../fused_rotary_positional_embedding.h | 395 ++++++++++++++++++ .../fused_rotary_positional_embedding_cuda.cu | 336 +++++++++++++++ megatron/fused_kernels/setup.py | 36 +- megatron/fused_kernels/type_shim.h | 298 ++++++++++++- megatron/initialize.py | 1 + megatron/model/fused_rope.py | 141 +++++++ megatron/model/transformer.py | 25 +- megatron/neox_arguments/neox_args.py | 5 + tests/config/test_setup.yml | 1 + tests/model/test_fused_kernels.py | 1 + tests/test_configs/test_train_base.yml | 1 + 30 files changed, 1374 insertions(+), 30 deletions(-) create mode 100644 megatron/fused_kernels/fused_rotary_positional_embedding.cpp create mode 100644 megatron/fused_kernels/fused_rotary_positional_embedding.h create mode 100644 megatron/fused_kernels/fused_rotary_positional_embedding_cuda.cu create mode 100644 megatron/model/fused_rope.py diff --git a/configs/1-3B.yml b/configs/1-3B.yml index 3e80ae7fc..31c316e2e 100644 --- a/configs/1-3B.yml +++ b/configs/1-3B.yml @@ -20,6 +20,7 @@ # these should provide some speedup but takes a while to build, set to true if desired "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, + "rope_fusion": false, # init methods "init_method": "small_init", diff --git a/configs/125M-json.yml b/configs/125M-json.yml index 95a76ebfc..fff863f44 100644 --- a/configs/125M-json.yml +++ b/configs/125M-json.yml @@ -15,6 +15,7 @@ "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, + "rope_fusion": false, "init_method": "small_init", "output_layer_init_method": "wang_init", diff --git a/configs/125M.yml b/configs/125M.yml index 15a4b3b01..a098c6df6 100644 --- a/configs/125M.yml +++ b/configs/125M.yml @@ -20,6 +20,7 @@ # these should provide some speedup but takes a while to build, set to true if desired "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, + "rope_fusion": false, # init methods "init_method": "small_init", diff --git a/configs/13B.yml b/configs/13B.yml index 7af3208ef..93592896b 100644 --- a/configs/13B.yml +++ b/configs/13B.yml @@ -20,6 +20,7 @@ # these should provide some speedup but takes a while to build, set to true if desired "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, + "rope_fusion": false, # init methods "init_method": "small_init", diff --git a/configs/175B.yml b/configs/175B.yml index cc5c5c23f..99efdc6e0 100644 --- a/configs/175B.yml +++ b/configs/175B.yml @@ -20,6 +20,7 @@ # these should provide some speedup but takes a while to build, set to true if desired "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, + "rope_fusion": false, # init methods "init_method": "small_init", diff --git a/configs/19M.yml b/configs/19M.yml index 83e5c594a..148655efc 100644 --- a/configs/19M.yml +++ b/configs/19M.yml @@ -15,6 +15,7 @@ "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, + "rope_fusion": false, # init methods "init_method": "small_init", diff --git a/configs/2-7B.yml b/configs/2-7B.yml index 2bddda0ed..ffcd3af95 100644 --- a/configs/2-7B.yml +++ b/configs/2-7B.yml @@ -20,6 +20,7 @@ # these should provide some speedup but takes a while to build, set to true if desired "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, + "rope_fusion": false, # init methods "init_method": "small_init", diff --git a/configs/20B.yml b/configs/20B.yml index 243f794d0..c55d342b9 100644 --- a/configs/20B.yml +++ b/configs/20B.yml @@ -30,6 +30,7 @@ "output_layer_parallelism": "column", "scaled_upper_triang_masked_softmax_fusion": true, "bias_gelu_fusion": true, + "rope_fusion": false, # init methods "init_method": "small_init", diff --git a/configs/350M.yml b/configs/350M.yml index 1247ea88d..755f11c63 100644 --- a/configs/350M.yml +++ b/configs/350M.yml @@ -20,6 +20,7 @@ # these should provide some speedup but takes a while to build, set to true if desired "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, + "rope_fusion": false, # init methods "init_method": "small_init", diff --git a/configs/49M.yml b/configs/49M.yml index 9852320b0..e30bc3ebb 100644 --- a/configs/49M.yml +++ b/configs/49M.yml @@ -18,6 +18,7 @@ # these should provide some speedup but takes a while to build, set to true if desired "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, + "rope_fusion": false, # init methods "init_method": "small_init", diff --git a/configs/6-7B.yml b/configs/6-7B.yml index 8054c3ff2..a3578a014 100644 --- a/configs/6-7B.yml +++ b/configs/6-7B.yml @@ -20,6 +20,7 @@ # these should provide some speedup but takes a while to build, set to true if desired "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, + "rope_fusion": false, # init methods "init_method": "small_init", diff --git a/configs/760M.yml b/configs/760M.yml index 5cbb39559..0eb6aea31 100644 --- a/configs/760M.yml +++ b/configs/760M.yml @@ -20,6 +20,7 @@ # these should provide some speedup but takes a while to build, set to true if desired "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, + "rope_fusion": false, # init methods "init_method": "small_init", diff --git a/configs/800M.yml b/configs/800M.yml index f522b40c7..28396d58d 100644 --- a/configs/800M.yml +++ b/configs/800M.yml @@ -15,6 +15,7 @@ "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, + "rope_fusion": false, # init methods "init_method": "small_init", diff --git a/configs/bf16_125M.yml b/configs/bf16_125M.yml index 93f808d35..eac251cae 100644 --- a/configs/bf16_125M.yml +++ b/configs/bf16_125M.yml @@ -18,6 +18,7 @@ # these should provide some speedup but takes a while to build, set to true if desired "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, + "rope_fusion": false, # optimizer settings diff --git a/configs/bnb_125M.yml b/configs/bnb_125M.yml index 66f733803..619b0084a 100644 --- a/configs/bnb_125M.yml +++ b/configs/bnb_125M.yml @@ -19,6 +19,7 @@ # these should provide some speedup but takes a while to build, set to true if desired "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, + "rope_fusion": false, # optimizer settings diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 6448e793f..a60ef7716 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -447,6 +447,14 @@ Model Arguments +- **rope_fusion**: bool + + Default = False + + Enable rotary embedding fusion. + + + - **fp16_lm_cross_entropy**: bool Default = False diff --git a/configs/slurm_125M.yml b/configs/slurm_125M.yml index c6f388b9d..798b43629 100644 --- a/configs/slurm_125M.yml +++ b/configs/slurm_125M.yml @@ -11,6 +11,7 @@ "no_weight_tying": true, "scaled_upper_triang_masked_softmax_fusion": true, "bias_gelu_fusion": true, + "rope_fusion": false, "optimizer": { "type": "Adam", "params": { diff --git a/megatron/fused_kernels/__init__.py b/megatron/fused_kernels/__init__.py index 9bf4d1b1a..fff97986a 100644 --- a/megatron/fused_kernels/__init__.py +++ b/megatron/fused_kernels/__init__.py @@ -32,6 +32,7 @@ def load_fused_kernels(): try: import scaled_upper_triang_masked_softmax_cuda import scaled_masked_softmax_cuda + import fused_rotary_positional_embedding except (ImportError, ModuleNotFoundError) as e: print("\n") print(e) diff --git a/megatron/fused_kernels/fused_rotary_positional_embedding.cpp b/megatron/fused_kernels/fused_rotary_positional_embedding.cpp new file mode 100644 index 000000000..878f1b2c0 --- /dev/null +++ b/megatron/fused_kernels/fused_rotary_positional_embedding.cpp @@ -0,0 +1,139 @@ +/* coding=utf-8 + * Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include + +namespace fused_rope { + +torch::Tensor fwd_cuda(const torch::Tensor& input, + const torch::Tensor& freqs, + const bool transpose_output); + +torch::Tensor bwd_cuda(const torch::Tensor& output_grads, + const torch::Tensor& freqs, + const bool transpose_output); + +torch::Tensor fwd_cached_cuda(const torch::Tensor& input, + const torch::Tensor& cos, + const torch::Tensor& sin, + const bool transpose_output); + +torch::Tensor bwd_cached_cuda(const torch::Tensor& output_grads, + const torch::Tensor& cos, + const torch::Tensor& sin, + const bool transpose_output); + +torch::Tensor fwd(const at::Tensor& input, const at::Tensor& freqs, const bool transpose_output) +{ + TORCH_CHECK(input.dim() == 4, "expected 4D tensor"); + TORCH_CHECK(freqs.dim() == 4, "expected 4D tensor"); + TORCH_CHECK(input.size(0) == freqs.size(0), + "expected input and freqs tensor have the same sequence length"); + TORCH_CHECK(freqs.size(1) == 1 && freqs.size(2) == 1, + "expected the second and third dims of the freqs tensor equal 1"); + TORCH_CHECK(input.size(3) >= freqs.size(3), + "expected the last dim of the input tensor equals or is " + "greater than the freqs tensor"); + TORCH_CHECK(freqs.scalar_type() == at::ScalarType::Float, + "Dtype of the freqs tensor must be float"); + + return fwd_cuda(input, freqs, transpose_output); +} + +torch::Tensor bwd(const torch::Tensor& output_grads, + const at::Tensor& freqs, + const bool transpose_output) +{ + TORCH_CHECK(output_grads.dim() == 4, "expected 4D tensor"); + TORCH_CHECK(freqs.dim() == 4, "expected 4D tensor"); + TORCH_CHECK(output_grads.size(0) == freqs.size(0), + "expected output_grads and freqs tensor have the same sequence length"); + TORCH_CHECK(freqs.size(1) == 1 && freqs.size(2) == 1, + "expected the second and third dims of the freqs tensor equal 1"); + TORCH_CHECK(output_grads.size(3) >= freqs.size(3), + "expected the last dim of the output_grads tensor equals or is " + "greater than the freqs tensor"); + TORCH_CHECK(freqs.scalar_type() == at::ScalarType::Float, + "Dtype of the freqs tensor must be float"); + + return bwd_cuda(output_grads, freqs, transpose_output); +} + +torch::Tensor fwd_cached(const at::Tensor& input, + const at::Tensor& cos, + const at::Tensor& sin, + const bool transpose_output) +{ + TORCH_CHECK(input.dim() == 4, "expected 4D tensor"); + TORCH_CHECK(cos.dim() == 4, "expected 4D tensor"); + TORCH_CHECK(sin.dim() == 4, "expected 4D tensor"); + TORCH_CHECK(input.size(0) == cos.size(0), + "expected input and cos tensor have the same sequence length"); + TORCH_CHECK(input.size(0) == sin.size(0), + "expected input and sin tensor have the same sequence length"); + TORCH_CHECK(cos.size(1) == 1 && cos.size(2) == 1, + "expected the second and third dims of the cos tensor equal 1"); + TORCH_CHECK(sin.size(1) == 1 && sin.size(2) == 1, + "expected the second and third dims of the sin tensor equal 1"); + TORCH_CHECK(cos.size(3) == sin.size(3), "expected cos and sin tensor have the same last dim"); + TORCH_CHECK(input.size(3) >= cos.size(3), + "expected the last dim of the input tensor equals or is " + "greater than the cos tensor"); + TORCH_CHECK(cos.scalar_type() == sin.scalar_type(), + "expected cos and sin tensor have the same dtype"); + + return fwd_cached_cuda(input, cos, sin, transpose_output); +} + +torch::Tensor bwd_cached(const torch::Tensor& output_grads, + const at::Tensor& cos, + const at::Tensor& sin, + const bool transpose_output) +{ + TORCH_CHECK(output_grads.dim() == 4, "expected 4D tensor"); + TORCH_CHECK(cos.dim() == 4, "expected 4D tensor"); + TORCH_CHECK(sin.dim() == 4, "expected 4D tensor"); + TORCH_CHECK(output_grads.size(0) == cos.size(0), + "expected output_grads and cos tensor have the same sequence length"); + TORCH_CHECK(output_grads.size(0) == sin.size(0), + "expected output_grads and sin tensor have the same sequence length"); + TORCH_CHECK(cos.size(1) == 1 && cos.size(2) == 1, + "expected the second and third dims of the cos tensor equal 1"); + TORCH_CHECK(sin.size(1) == 1 && sin.size(2) == 1, + "expected the second and third dims of the sin tensor equal 1"); + TORCH_CHECK(cos.size(3) == sin.size(3), "expected cos and sin tensor have the same last dim"); + TORCH_CHECK(output_grads.size(3) >= cos.size(3), + "expected the last dim of the output_grads tensor equals or is " + "greater than the cos tensor"); + TORCH_CHECK(cos.scalar_type() == sin.scalar_type(), + "expected cos and sin tensor have the same dtype"); + + return bwd_cached_cuda(output_grads, cos, sin, transpose_output); +} + +} // end namespace fused_rope + +PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) +{ + m.def("forward", &fused_rope::fwd, "Fused Rotary Positional Embedding -- Forward."); + m.def("backward", &fused_rope::bwd, "Fused Rotary Positional Embedding -- Backward."); + m.def("forward_cached", + &fused_rope::fwd_cached, + "Fused Rotary Positional Embedding Cached -- Forward."); + m.def("backward_cached", + &fused_rope::bwd_cached, + "Fused Rotary Positional Embedding Cached -- Backward."); +} diff --git a/megatron/fused_kernels/fused_rotary_positional_embedding.h b/megatron/fused_kernels/fused_rotary_positional_embedding.h new file mode 100644 index 000000000..cd67a28d3 --- /dev/null +++ b/megatron/fused_kernels/fused_rotary_positional_embedding.h @@ -0,0 +1,395 @@ +/* coding=utf-8 + * Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#pragma once + +#include +#include +#include +#include +#include + +namespace { + +template +__global__ void fused_rope_forward(const int h, + const int d, + const int d2, + const int stride_s, + const int stride_b, + const int stride_h, + const int stride_d, + const int o_stride_s, + const int o_stride_b, + const int o_stride_h, + const int o_stride_d, + const scalar_t* src, + const float* freqs, + scalar_t* dst) +{ + int s_id = blockIdx.x, b_id = blockIdx.y; + int offset_block = s_id * stride_s + b_id * stride_b; + int offset_block_dst = s_id * o_stride_s + b_id * o_stride_b; +#pragma unroll + for (int d_id = threadIdx.x; d_id < d2; d_id += blockDim.x) { + float v_cos, v_sin; + sincosf(freqs[s_id * d2 + d_id], &v_sin, &v_cos); +#pragma unroll + for (int h_id = threadIdx.y; h_id < h; h_id += blockDim.y) { + int offset_src = offset_block + h_id * stride_h + d_id * stride_d; + int offset_dst = offset_block_dst + h_id * o_stride_h + d_id * o_stride_d; + scalar_t v_src = src[offset_src]; + scalar_t v_src_rotate = (d_id + d2 / 2 < d2) + ? -src[offset_src + (d2 / 2) * stride_d] + : src[offset_src + (d2 / 2 - d2) * stride_d]; + dst[offset_dst] = v_src * (scalar_t)v_cos + v_src_rotate * (scalar_t)v_sin; + } + } + + // copy the rest + if (d > d2) { +#pragma unroll + for (int h_id = threadIdx.y; h_id < h; h_id += blockDim.y) { + int offset_head = offset_block + h_id * stride_h; + int offset_head_dst = offset_block_dst + h_id * o_stride_h; +#pragma unroll + for (int d_id = d2 + threadIdx.x; d_id < d; d_id += blockDim.x) { + dst[offset_head_dst + d_id * o_stride_d] = src[offset_head + d_id * stride_d]; + } + } + } +} + +template +__global__ void fused_rope_backward(const int h, + const int d, + const int d2, + const int stride_s, + const int stride_b, + const int stride_h, + const int stride_d, + const int o_stride_s, + const int o_stride_b, + const int o_stride_h, + const int o_stride_d, + const scalar_t* src, + const float* freqs, + scalar_t* dst) +{ + int s_id = blockIdx.x, b_id = blockIdx.y; + int offset_block = s_id * stride_s + b_id * stride_b; + int offset_block_dst = s_id * o_stride_s + b_id * o_stride_b; +#pragma unroll + for (int d_id = threadIdx.x; d_id < d2; d_id += blockDim.x) { + scalar_t v_cos = cosf(freqs[s_id * d2 + d_id]); + scalar_t v_sin = (d_id + d2 / 2 < d2) ? sinf(freqs[s_id * d2 + d_id + d2 / 2]) + : -sinf(freqs[s_id * d2 + d_id + d2 / 2 - d2]); +#pragma unroll + for (int h_id = threadIdx.y; h_id < h; h_id += blockDim.y) { + int offset_src = offset_block + h_id * stride_h + d_id * stride_d; + int offset_dst = offset_block_dst + h_id * o_stride_h + d_id * o_stride_d; + scalar_t v_src = src[offset_src]; + scalar_t v_src_rotate = (d_id + d2 / 2 < d2) + ? src[offset_src + (d2 / 2) * stride_d] + : src[offset_src + (d2 / 2 - d2) * stride_d]; + dst[offset_dst] = v_src * v_cos + v_src_rotate * v_sin; + } + } + + // handle the tail + if (d > d2) { +#pragma unroll + for (int h_id = threadIdx.y; h_id < h; h_id += blockDim.y) { + int offset_head = offset_block + h_id * stride_h; + int offset_head_dst = offset_block_dst + h_id * o_stride_h; +#pragma unroll + for (int d_id = d2 + threadIdx.x; d_id < d; d_id += blockDim.x) { + dst[offset_head_dst + d_id * o_stride_d] = src[offset_head + d_id * stride_d]; + } + } + } +} + +template +__global__ void fused_rope_cached_forward(const int h, + const int d, + const int d2, + const int stride_s, + const int stride_b, + const int stride_h, + const int stride_d, + const int o_stride_s, + const int o_stride_b, + const int o_stride_h, + const int o_stride_d, + const scalar_t_0* src, + const scalar_t_1* cos, + const scalar_t_1* sin, + scalar_t_0* dst) +{ + int s_id = blockIdx.x, b_id = blockIdx.y; + int offset_block = s_id * stride_s + b_id * stride_b; + int offset_block_dst = s_id * o_stride_s + b_id * o_stride_b; +#pragma unroll + for (int d_id = threadIdx.x; d_id < d2; d_id += blockDim.x) { + scalar_t_0 v_cos = cos[s_id * d2 + d_id]; + scalar_t_0 v_sin = sin[s_id * d2 + d_id]; +#pragma unroll + for (int h_id = threadIdx.y; h_id < h; h_id += blockDim.y) { + int offset_src = offset_block + h_id * stride_h + d_id * stride_d; + int offset_dst = offset_block_dst + h_id * o_stride_h + d_id * o_stride_d; + scalar_t_0 v_src = src[offset_src]; + scalar_t_0 v_src_rotate = (d_id + d2 / 2 < d2) + ? -src[offset_src + (d2 / 2) * stride_d] + : src[offset_src + (d2 / 2 - d2) * stride_d]; + dst[offset_dst] = v_src * v_cos + v_src_rotate * v_sin; + } + } + + // copy the rest + if (d > d2) { +#pragma unroll + for (int h_id = threadIdx.y; h_id < h; h_id += blockDim.y) { + int offset_head = offset_block + h_id * stride_h; + int offset_head_dst = offset_block_dst + h_id * o_stride_h; +#pragma unroll + for (int d_id = d2 + threadIdx.x; d_id < d; d_id += blockDim.x) { + dst[offset_head_dst + d_id * o_stride_d] = src[offset_head + d_id * stride_d]; + } + } + } +} + +template +__global__ void fused_rope_cached_backward(const int h, + const int d, + const int d2, + const int stride_s, + const int stride_b, + const int stride_h, + const int stride_d, + const int o_stride_s, + const int o_stride_b, + const int o_stride_h, + const int o_stride_d, + const scalar_t_0* src, + const scalar_t_1* cos, + const scalar_t_1* sin, + scalar_t_0* dst) +{ + int s_id = blockIdx.x, b_id = blockIdx.y; + int offset_block = s_id * stride_s + b_id * stride_b; + int offset_block_dst = s_id * o_stride_s + b_id * o_stride_b; +#pragma unroll + for (int d_id = threadIdx.x; d_id < d2; d_id += blockDim.x) { + scalar_t_0 v_cos = cos[s_id * d2 + d_id]; + scalar_t_0 v_sin = (d_id + d2 / 2 < d2) ? sin[s_id * d2 + d_id + d2 / 2] + : -sin[s_id * d2 + d_id + d2 / 2 - d2]; +#pragma unroll + for (int h_id = threadIdx.y; h_id < h; h_id += blockDim.y) { + int offset_src = offset_block + h_id * stride_h + d_id * stride_d; + int offset_dst = offset_block_dst + h_id * o_stride_h + d_id * o_stride_d; + scalar_t_0 v_src = src[offset_src]; + scalar_t_0 v_src_rotate = (d_id + d2 / 2 < d2) + ? src[offset_src + (d2 / 2) * stride_d] + : src[offset_src + (d2 / 2 - d2) * stride_d]; + dst[offset_dst] = v_src * v_cos + v_src_rotate * v_sin; + } + } + + // handle the tail + if (d > d2) { +#pragma unroll + for (int h_id = threadIdx.y; h_id < h; h_id += blockDim.y) { + int offset_head = offset_block + h_id * stride_h; + int offset_head_dst = offset_block_dst + h_id * o_stride_h; +#pragma unroll + for (int d_id = d2 + threadIdx.x; d_id < d; d_id += blockDim.x) { + dst[offset_head_dst + d_id * o_stride_d] = src[offset_head + d_id * stride_d]; + } + } + } +} + +} // end of anonymous namespace + +template +void dispatch_fused_rope_forward(const int s, + const int b, + const int h, + const int d, + const int d2, + const int stride_s, + const int stride_b, + const int stride_h, + const int stride_d, + const int o_stride_s, + const int o_stride_b, + const int o_stride_h, + const int o_stride_d, + const scalar_t* input, + const float* freqs, + scalar_t* output) +{ + auto stream = at::cuda::getCurrentCUDAStream(); + + int warps_per_block = h < 16 ? 4 : 8; + dim3 blocks(s, b); + dim3 threads(C10_WARP_SIZE, warps_per_block); + + fused_rope_forward<<>>(h, + d, + d2, + stride_s, + stride_b, + stride_h, + stride_d, + o_stride_s, + o_stride_b, + o_stride_h, + o_stride_d, + input, + freqs, + output); + C10_CUDA_KERNEL_LAUNCH_CHECK(); +} + +template +void dispatch_fused_rope_backward(const int s, + const int b, + const int h, + const int d, + const int d2, + const int stride_s, + const int stride_b, + const int stride_h, + const int stride_d, + const int o_stride_s, + const int o_stride_b, + const int o_stride_h, + const int o_stride_d, + const scalar_t* output_grads, + const float* freqs, + scalar_t* input_grads) +{ + auto stream = at::cuda::getCurrentCUDAStream(); + + int warps_per_block = h < 16 ? 4 : 8; + dim3 blocks(s, b); + dim3 threads(C10_WARP_SIZE, warps_per_block); + + fused_rope_backward<<>>(h, + d, + d2, + stride_s, + stride_b, + stride_h, + stride_d, + o_stride_s, + o_stride_b, + o_stride_h, + o_stride_d, + output_grads, + freqs, + input_grads); + C10_CUDA_KERNEL_LAUNCH_CHECK(); +} + +template +void dispatch_fused_rope_cached_forward(const int s, + const int b, + const int h, + const int d, + const int d2, + const int stride_s, + const int stride_b, + const int stride_h, + const int stride_d, + const int o_stride_s, + const int o_stride_b, + const int o_stride_h, + const int o_stride_d, + const scalar_t_0* input, + const scalar_t_1* cos, + const scalar_t_1* sin, + scalar_t_0* output) +{ + auto stream = at::cuda::getCurrentCUDAStream(); + + int warps_per_block = h < 16 ? 4 : 8; + dim3 blocks(s, b); + dim3 threads(C10_WARP_SIZE, warps_per_block); + + fused_rope_cached_forward<<>>(h, + d, + d2, + stride_s, + stride_b, + stride_h, + stride_d, + o_stride_s, + o_stride_b, + o_stride_h, + o_stride_d, + input, + cos, + sin, + output); + C10_CUDA_KERNEL_LAUNCH_CHECK(); +} + +template +void dispatch_fused_rope_cached_backward(const int s, + const int b, + const int h, + const int d, + const int d2, + const int stride_s, + const int stride_b, + const int stride_h, + const int stride_d, + const int o_stride_s, + const int o_stride_b, + const int o_stride_h, + const int o_stride_d, + const scalar_t_0* output_grads, + const scalar_t_1* cos, + const scalar_t_1* sin, + scalar_t_0* input_grads) +{ + auto stream = at::cuda::getCurrentCUDAStream(); + + int warps_per_block = h < 16 ? 4 : 8; + dim3 blocks(s, b); + dim3 threads(C10_WARP_SIZE, warps_per_block); + + fused_rope_cached_backward<<>>(h, + d, + d2, + stride_s, + stride_b, + stride_h, + stride_d, + o_stride_s, + o_stride_b, + o_stride_h, + o_stride_d, + output_grads, + cos, + sin, + input_grads); + C10_CUDA_KERNEL_LAUNCH_CHECK(); +} diff --git a/megatron/fused_kernels/fused_rotary_positional_embedding_cuda.cu b/megatron/fused_kernels/fused_rotary_positional_embedding_cuda.cu new file mode 100644 index 000000000..0f37dff41 --- /dev/null +++ b/megatron/fused_kernels/fused_rotary_positional_embedding_cuda.cu @@ -0,0 +1,336 @@ +/* coding=utf-8 + * Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include + +#include "fused_rotary_positional_embedding.h" +#include "type_shim.h" + +namespace fused_rope { + +torch::Tensor fwd_cuda(const torch::Tensor& input, + const torch::Tensor& freqs, + const bool transpose_output) +{ + // input sizes: (s, b, h, d) + // s: sequence length + // b: batch size + // h: head num + // d: dim of each head + const int s = input.size(0); + const int b = input.size(1); + const int h = input.size(2); + const int d = input.size(3); + // input strides + const int stride_s = input.stride(0); + const int stride_b = input.stride(1); + const int stride_h = input.stride(2); + const int stride_d = input.stride(3); + // freqs' shape is always (s, 1, 1, d2), so the strides are same under + // different memory formats + const int d2 = freqs.size(3); + + // output + auto act_options = input.options().requires_grad(false); + torch::Tensor output; + if (transpose_output) { + output = torch::empty({b, s, h, d}, act_options).transpose(0, 1); + } else { + output = torch::empty({s, b, h, d}, act_options); + } + // output strides + const int o_stride_s = output.stride(0); + const int o_stride_b = output.stride(1); + const int o_stride_h = output.stride(2); + const int o_stride_d = output.stride(3); + + DISPATCH_FLOAT_HALF_AND_BFLOAT(input.scalar_type(), + 0, + "dispatch_fused_rope_forward", + dispatch_fused_rope_forward(s, + b, + h, + d, + d2, + stride_s, + stride_b, + stride_h, + stride_d, + o_stride_s, + o_stride_b, + o_stride_h, + o_stride_d, + input.data_ptr(), + freqs.data_ptr(), + output.data_ptr());); + return output; +} + +torch::Tensor bwd_cuda(const torch::Tensor& output_grads, + const torch::Tensor& freqs, + const bool transpose_output) +{ + // output_grads sizes: (s, b, h, d) + // s: sequence length + // b: batch size + // h: head num + // d: dim of each head + const int s = output_grads.size(0); + const int b = output_grads.size(1); + const int h = output_grads.size(2); + const int d = output_grads.size(3); + // output_grads strides + const int stride_s = output_grads.stride(0); + const int stride_b = output_grads.stride(1); + const int stride_h = output_grads.stride(2); + const int stride_d = output_grads.stride(3); + // freqs' shape is always (s, 1, 1, d2), so the strides are same under + // different memory formats + const int d2 = freqs.size(3); + + auto act_options = output_grads.options().requires_grad(false); + torch::Tensor input_grads; + if (transpose_output) { + input_grads = torch::empty({b, s, h, d}, act_options).transpose(0, 1); + } else { + input_grads = torch::empty({s, b, h, d}, act_options); + } + const int o_stride_s = input_grads.stride(0); + const int o_stride_b = input_grads.stride(1); + const int o_stride_h = input_grads.stride(2); + const int o_stride_d = input_grads.stride(3); + + DISPATCH_FLOAT_HALF_AND_BFLOAT( + output_grads.scalar_type(), + 0, + "dispatch_fused_rope_backward", + dispatch_fused_rope_backward(s, + b, + h, + d, + d2, + stride_s, + stride_b, + stride_h, + stride_d, + o_stride_s, + o_stride_b, + o_stride_h, + o_stride_d, + output_grads.data_ptr(), + freqs.data_ptr(), + input_grads.data_ptr());); + return input_grads; +} + +#define DISPATCH_FUSED_ROPE_TYPES(TYPE1, TYPE2, NAME, ...) \ + switch (TYPE1) { \ + case at::ScalarType::Float: { \ + using scalar_t_0 = float; \ + switch (TYPE2) { \ + case at::ScalarType::Float: { \ + using scalar_t_1 = float; \ + __VA_ARGS__; \ + break; \ + } \ + default: \ + TORCH_CHECK(false, \ + #NAME, \ + " not supported for '", \ + toString(TYPE1), \ + "' with '", \ + toString(TYPE2), \ + "'"); \ + } \ + break; \ + } \ + case at::ScalarType::Half: { \ + using scalar_t_0 = at::Half; \ + switch (TYPE2) { \ + case at::ScalarType::Float: { \ + using scalar_t_1 = float; \ + __VA_ARGS__; \ + break; \ + } \ + case at::ScalarType::Half: { \ + using scalar_t_1 = at::Half; \ + __VA_ARGS__; \ + break; \ + } \ + default: \ + TORCH_CHECK(false, \ + #NAME, \ + " not supported for '", \ + toString(TYPE1), \ + "' with '", \ + toString(TYPE2), \ + "'"); \ + } \ + break; \ + } \ + case at::ScalarType::BFloat16: { \ + using scalar_t_0 = at::BFloat16; \ + switch (TYPE2) { \ + case at::ScalarType::Float: { \ + using scalar_t_1 = float; \ + __VA_ARGS__; \ + break; \ + } \ + case at::ScalarType::BFloat16: { \ + using scalar_t_1 = at::BFloat16; \ + __VA_ARGS__; \ + break; \ + } \ + default: \ + TORCH_CHECK(false, \ + #NAME, \ + " not supported for '", \ + toString(TYPE1), \ + "' with '", \ + toString(TYPE2), \ + "'"); \ + } \ + break; \ + } \ + default: \ + TORCH_CHECK(false, \ + #NAME, \ + " not supported for '", \ + toString(TYPE1), \ + "' with '", \ + toString(TYPE2), \ + "'"); \ + } + +torch::Tensor fwd_cached_cuda(const torch::Tensor& input, + const torch::Tensor& cos, + const torch::Tensor& sin, + const bool transpose_output) +{ + // input sizes: (s, b, h, d) + // s: sequence length + // b: batch size + // h: head num + // d: dim of each head + const int s = input.size(0); + const int b = input.size(1); + const int h = input.size(2); + const int d = input.size(3); + // input strides + const int stride_s = input.stride(0); + const int stride_b = input.stride(1); + const int stride_h = input.stride(2); + const int stride_d = input.stride(3); + // cos/sin's shape is always (s, 1, 1, d2), so the strides are same under + // different memory formats + const int d2 = cos.size(3); + + // output + auto act_options = input.options().requires_grad(false); + torch::Tensor output; + if (transpose_output) { + output = torch::empty({b, s, h, d}, act_options).transpose(0, 1); + } else { + output = torch::empty({s, b, h, d}, act_options); + } + // output strides + const int o_stride_s = output.stride(0); + const int o_stride_b = output.stride(1); + const int o_stride_h = output.stride(2); + const int o_stride_d = output.stride(3); + + DISPATCH_FUSED_ROPE_TYPES(input.scalar_type(), + cos.scalar_type(), + "dispatch_fused_rope_cached_forward", + dispatch_fused_rope_cached_forward(s, + b, + h, + d, + d2, + stride_s, + stride_b, + stride_h, + stride_d, + o_stride_s, + o_stride_b, + o_stride_h, + o_stride_d, + input.data_ptr(), + cos.data_ptr(), + sin.data_ptr(), + output.data_ptr());); + return output; +} + +torch::Tensor bwd_cached_cuda(const torch::Tensor& output_grads, + const torch::Tensor& cos, + const torch::Tensor& sin, + const bool transpose_output) +{ + // output_grads sizes: (s, b, h, d) + // s: sequence length + // b: batch size + // h: head num + // d: dim of each head + const int s = output_grads.size(0); + const int b = output_grads.size(1); + const int h = output_grads.size(2); + const int d = output_grads.size(3); + // output_grads strides + const int stride_s = output_grads.stride(0); + const int stride_b = output_grads.stride(1); + const int stride_h = output_grads.stride(2); + const int stride_d = output_grads.stride(3); + // cos/sin's shape is always (s, 1, 1, d2), so the strides are same under + // different memory formats + const int d2 = cos.size(3); + + auto act_options = output_grads.options().requires_grad(false); + torch::Tensor input_grads; + if (transpose_output) { + input_grads = torch::empty({b, s, h, d}, act_options).transpose(0, 1); + } else { + input_grads = torch::empty({s, b, h, d}, act_options); + } + const int o_stride_s = input_grads.stride(0); + const int o_stride_b = input_grads.stride(1); + const int o_stride_h = input_grads.stride(2); + const int o_stride_d = input_grads.stride(3); + + DISPATCH_FUSED_ROPE_TYPES( + output_grads.scalar_type(), + cos.scalar_type(), + "dispatch_fused_rope_cached_backward", + dispatch_fused_rope_cached_backward(s, + b, + h, + d, + d2, + stride_s, + stride_b, + stride_h, + stride_d, + o_stride_s, + o_stride_b, + o_stride_h, + o_stride_d, + output_grads.data_ptr(), + cos.data_ptr(), + sin.data_ptr(), + input_grads.data_ptr());); + return input_grads; +} +} // end namespace fused_rope diff --git a/megatron/fused_kernels/setup.py b/megatron/fused_kernels/setup.py index 0eb04c745..d800b2a00 100644 --- a/megatron/fused_kernels/setup.py +++ b/megatron/fused_kernels/setup.py @@ -1,3 +1,17 @@ +# Copyright (c) 2021, EleutherAI +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from setuptools import setup, find_packages from torch.utils import cpp_extension from torch.utils.cpp_extension import BuildExtension, CUDAExtension @@ -42,27 +56,35 @@ def _get_cuda_bare_metal_version(cuda_dir): } setup( name="fused_kernels", - version="0.0.1", - author="Sid Black & Alejandro Molina et al.", - author_email="alejandro.molina@aleph-alpha.de", + version="0.0.2", + author="EleutherAI", + author_email="contact@eleuther.ai", include_package_data=False, ext_modules=[ CUDAExtension( - "scaled_upper_triang_masked_softmax_cuda", - [ + name="scaled_upper_triang_masked_softmax_cuda", + sources=[ str(srcpath / "scaled_upper_triang_masked_softmax.cpp"), str(srcpath / "scaled_upper_triang_masked_softmax_cuda.cu"), ], extra_compile_args=cuda_ext_args, ), CUDAExtension( - "scaled_masked_softmax_cuda", - [ + name="scaled_masked_softmax_cuda", + sources=[ str(srcpath / "scaled_masked_softmax.cpp"), str(srcpath / "scaled_masked_softmax_cuda.cu"), ], extra_compile_args=cuda_ext_args, ), + CUDAExtension( + name="fused_rotary_positional_embedding", + sources=[ + str(srcpath / "fused_rotary_positional_embedding.cpp"), + str(srcpath / "fused_rotary_positional_embedding_cuda.cu"), + ], + extra_compile_args=cuda_ext_args, + ), ], cmdclass={"build_ext": BuildExtension}, ) diff --git a/megatron/fused_kernels/type_shim.h b/megatron/fused_kernels/type_shim.h index 1a3a30953..6b1c8927d 100644 --- a/megatron/fused_kernels/type_shim.h +++ b/megatron/fused_kernels/type_shim.h @@ -1,22 +1,134 @@ -/* coding=utf-8 - * Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - #include #include "compat.h" +// Forward/backward compatibility hack around +// https://github.com/pytorch/pytorch/commit/3aeb78079bcd68282fe9117088e138b77318e288 +// pending more future-proof guidance from upstream. +// struct TypeShim +// { +// const at::Type& payload; +// TypeShim(const at::Type& type) : payload(type) {} +// // Enable trivial conversion to a const at::Type& for pre-3aeb78 +// operator const at::Type&(){ return payload; }; +// // Enable dispatch switch statements to take *this directly for post-3aeb78 +// //operator at::ScalarType(){ return payload.; }; +// }; + +#define DISPATCH_FLOAT_AND_HALF(TYPE, LEVEL, NAME, ...) \ + switch (TYPE) { \ + case at::ScalarType::Float: { \ + using scalar_t_##LEVEL = float; \ + __VA_ARGS__; \ + break; \ + } \ + case at::ScalarType::Half: { \ + using scalar_t_##LEVEL = at::Half; \ + __VA_ARGS__; \ + break; \ + } \ + default: AT_ERROR(#NAME, " not implemented for '", toString(TYPE), "'"); \ + } + +#define DISPATCH_FLOAT_HALF_AND_BFLOAT(TYPE, LEVEL, NAME, ...) \ + switch (TYPE) { \ + case at::ScalarType::Float: { \ + using scalar_t_##LEVEL = float; \ + __VA_ARGS__; \ + break; \ + } \ + case at::ScalarType::Half: { \ + using scalar_t_##LEVEL = at::Half; \ + __VA_ARGS__; \ + break; \ + } \ + case at::ScalarType::BFloat16: { \ + using scalar_t_##LEVEL = at::BFloat16; \ + __VA_ARGS__; \ + break; \ + } \ + default: AT_ERROR(#NAME, " not implemented for '", toString(TYPE), "'"); \ + } + +#define DISPATCH_FLOAT_HALF_AND_BYTE(TYPE, LEVEL, NAME, ...) \ + switch (TYPE) { \ + case at::ScalarType::Float: { \ + using scalar_t_##LEVEL = float; \ + __VA_ARGS__; \ + break; \ + } \ + case at::ScalarType::Half: { \ + using scalar_t_##LEVEL = at::Half; \ + __VA_ARGS__; \ + break; \ + } \ + case at::ScalarType::Byte: { \ + using scalar_t_##LEVEL = uint8_t; \ + __VA_ARGS__; \ + break; \ + } \ + default: AT_ERROR(#NAME, " not implemented for '", toString(TYPE), "'"); \ + } + +#define DISPATCH_DOUBLE_FLOAT_AND_HALF(TYPE, LEVEL, NAME, ...) \ + switch (TYPE) { \ + case at::ScalarType::Double: { \ + using scalar_t_##LEVEL = double; \ + __VA_ARGS__; \ + break; \ + } \ + case at::ScalarType::Float: { \ + using scalar_t_##LEVEL = float; \ + __VA_ARGS__; \ + break; \ + } \ + case at::ScalarType::Half: { \ + using scalar_t_##LEVEL = at::Half; \ + __VA_ARGS__; \ + break; \ + } \ + default: AT_ERROR(#NAME, " not implemented for '", toString(TYPE), "'"); \ + } + +#define DISPATCH_DOUBLE_FLOAT_HALF_AND_BFLOAT(TYPE, LEVEL, NAME, ...) \ + switch (TYPE) { \ + case at::ScalarType::Double: { \ + using scalar_t_##LEVEL = double; \ + __VA_ARGS__; \ + break; \ + } \ + case at::ScalarType::Float: { \ + using scalar_t_##LEVEL = float; \ + __VA_ARGS__; \ + break; \ + } \ + case at::ScalarType::Half: { \ + using scalar_t_##LEVEL = at::Half; \ + __VA_ARGS__; \ + break; \ + } \ + case at::ScalarType::BFloat16: { \ + using scalar_t_##LEVEL = at::BFloat16; \ + __VA_ARGS__; \ + break; \ + } \ + default: AT_ERROR(#NAME, " not implemented for '", toString(TYPE), "'"); \ + } + +#define DISPATCH_DOUBLE_AND_FLOAT(TYPE, LEVEL, NAME, ...) \ + switch (TYPE) { \ + case at::ScalarType::Double: { \ + using scalar_t_##LEVEL = double; \ + __VA_ARGS__; \ + break; \ + } \ + case at::ScalarType::Float: { \ + using scalar_t_##LEVEL = float; \ + __VA_ARGS__; \ + break; \ + } \ + default: AT_ERROR(#NAME, " not implemented for '", toString(TYPE), "'"); \ + } + #define DISPATCH_HALF_AND_BFLOAT(TYPE, NAME, ...) \ switch (TYPE) { \ case at::ScalarType::Half: { \ @@ -70,3 +182,157 @@ } \ default: AT_ERROR(#NAME, " not implemented for '", toString(TYPEIN), "'"); \ } + +#define DISPATCH_DOUBLE_FLOAT_HALF_AND_BFLOAT_INOUT_TYPES(TYPEIN, TYPEOUT, NAME, ...) \ + switch (TYPEIN) { \ + case at::ScalarType::Double: { \ + using scalar_t_in = double; \ + switch (TYPEOUT) { \ + case at::ScalarType::Double: { \ + using scalar_t_out = double; \ + __VA_ARGS__; \ + break; \ + } \ + case at::ScalarType::Float: { \ + using scalar_t_out = float; \ + __VA_ARGS__; \ + break; \ + } \ + case at::ScalarType::Half: { \ + using scalar_t_out = at::Half; \ + __VA_ARGS__; \ + break; \ + } \ + case at::ScalarType::BFloat16: { \ + using scalar_t_out = at::BFloat16; \ + __VA_ARGS__; \ + break; \ + } \ + default: AT_ERROR(#NAME, " not implemented for '", toString(TYPEOUT), "'"); \ + } \ + break; \ + } \ + case at::ScalarType::Float: { \ + using scalar_t_in = float; \ + switch (TYPEOUT) { \ + case at::ScalarType::Float: { \ + using scalar_t_out = float; \ + __VA_ARGS__; \ + break; \ + } \ + case at::ScalarType::Half: { \ + using scalar_t_out = at::Half; \ + __VA_ARGS__; \ + break; \ + } \ + case at::ScalarType::BFloat16: { \ + using scalar_t_out = at::BFloat16; \ + __VA_ARGS__; \ + break; \ + } \ + default: AT_ERROR(#NAME, " not implemented for '", toString(TYPEOUT), "'"); \ + } \ + break; \ + } \ + case at::ScalarType::Half: { \ + using scalar_t_in = at::Half; \ + using scalar_t_out = at::Half; \ + __VA_ARGS__; \ + break; \ + } \ + case at::ScalarType::BFloat16: { \ + using scalar_t_in = at::BFloat16; \ + using scalar_t_out = at::BFloat16; \ + __VA_ARGS__; \ + break; \ + } \ + default: AT_ERROR(#NAME, " not implemented for '", toString(TYPEIN), "'"); \ + } + +template +__device__ __forceinline__ T +reduce_block_into_lanes(T* x, + T val, + int lanes = 1, + bool share_result = false) // lanes is intended to be <= 32. +{ + int tid = threadIdx.x + threadIdx.y * blockDim.x; + int blockSize = blockDim.x * blockDim.y; // blockSize is intended to be a multiple of 32. + + if (blockSize >= 64) { + x[tid] = val; + __syncthreads(); + } + +#pragma unroll + for (int i = (blockSize >> 1); i >= 64; i >>= 1) { + if (tid < i) x[tid] = x[tid] + x[tid + i]; + __syncthreads(); + } + + T final; + + if (tid < 32) { + if (blockSize >= 64) + final = x[tid] + x[tid + 32]; + else + final = val; + // __SYNCWARP(); + +#pragma unroll + for (int i = 16; i >= lanes; i >>= 1) + final = final + __shfl_down_sync(0xffffffff, final, i); + } + + if (share_result) { + if (tid < lanes) x[tid] = final; // EpilogueOp + // Make sure the smem result is visible to all warps. + __syncthreads(); + } + + return final; +} + +template +__device__ __forceinline__ T +reduce_block_into_lanes_max_op(T* x, + T val, + int lanes = 1, + bool share_result = false) // lanes is intended to be <= 32. +{ + int tid = threadIdx.x + threadIdx.y * blockDim.x; + int blockSize = blockDim.x * blockDim.y; // blockSize is intended to be a multiple of 32. + + if (blockSize >= 64) { + x[tid] = val; + __syncthreads(); + } + +#pragma unroll + for (int i = (blockSize >> 1); i >= 64; i >>= 1) { + if (tid < i) x[tid] = fmaxf(fabsf(x[tid]), fabsf(x[tid + i])); + __syncthreads(); + } + + T final; + + if (tid < 32) { + if (blockSize >= 64) + final = fmaxf(fabsf(x[tid]), fabsf(x[tid + 32])); + else + final = val; + // __SYNCWARP(); + +#pragma unroll + for (int i = 16; i >= lanes; i >>= 1) + final = fmaxf(fabsf(final), fabsf(__shfl_down_sync(0xffffffff, final, i))); + } + + if (share_result) { + if (tid < lanes) x[tid] = final; // EpilogueOp + // Make sure the smem result is visible to all warps. + __syncthreads(); + } + + return final; +} diff --git a/megatron/initialize.py b/megatron/initialize.py index bc4032649..dd752659b 100644 --- a/megatron/initialize.py +++ b/megatron/initialize.py @@ -57,6 +57,7 @@ def finish_mpu_init(): if ( neox_args.scaled_upper_triang_masked_softmax_fusion or neox_args.scaled_masked_softmax_fusion + or neox_args.rope_fusion ): fused_kernels.load_fused_kernels() diff --git a/megatron/model/fused_rope.py b/megatron/model/fused_rope.py new file mode 100644 index 000000000..9f63f1537 --- /dev/null +++ b/megatron/model/fused_rope.py @@ -0,0 +1,141 @@ +# Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from typing import Tuple, Union +import torch + + +class FusedRoPEFunc(torch.autograd.Function): + """ + Fused RoPE function + + This implementation assumes the input tensor to be in `sbhd` format and the RoPE tensor to be + of shape (s, 1, 1, d). It accepts arbitrary memory layouts to avoid the expensive + `.contiguous()` calls, thus it may not achieve the best memory access pattern. + """ + + @staticmethod + def forward( + ctx, + t: torch.Tensor, + freqs: torch.Tensor, + transpose_output_memory: bool = False, + ) -> torch.Tensor: + import fused_rotary_positional_embedding + + output = fused_rotary_positional_embedding.forward( + t, freqs, transpose_output_memory + ) + ctx.save_for_backward(freqs) + ctx.transpose_output_memory = transpose_output_memory + + return output + + @staticmethod + def backward( + ctx, grad_output: torch.Tensor + ) -> Tuple[Union[torch.Tensor, None], ...]: + import fused_rotary_positional_embedding + + (freqs,) = ctx.saved_tensors + grad_input = fused_rotary_positional_embedding.backward( + grad_output, freqs, ctx.transpose_output_memory + ) + + return grad_input, None, None + + +def fused_apply_rotary_pos_emb( + t: torch.Tensor, + freqs: torch.Tensor, + transpose_output_memory: bool = False, +) -> torch.Tensor: + """Apply rotary positional embedding to input tensor T. + + Args: + t (Tensor): Input tensor T is of shape [s, b, h, d] + freqs (Tensor): Rotary Positional embedding tensor freq is of shape [s, 1, 1, d] and + `float` dtype + transpose_output_memory (bool): Default to False. Whether to transpose the 's' and 'b' + dimension of the output's underlying memory format. This is very helpful when you want to + get a contiguous tensor after calling `output.transpose(0, 1)`. + + Returns: + Tensor: The input tensor after applying RoPE + """ + return FusedRoPEFunc.apply(t, freqs, transpose_output_memory) + + +class FusedRoPECachedFunc(torch.autograd.Function): + """ + Fused RoPE function + + This implementation assumes the input tensor to be in `sbhd` format and the RoPE tensor to be + of shape (s, 1, 1, d). It accepts arbitrary memory layouts to avoid the expensive + `.contiguous()` calls, thus it may not achieve the best memory access pattern. + """ + + @staticmethod + def forward( + ctx, + t: torch.Tensor, + cos_: torch.Tensor, + sin_: torch.Tensor, + transpose_output_memory: bool = False, + ) -> torch.Tensor: + import fused_rotary_positional_embedding + + output = fused_rotary_positional_embedding.forward_cached( + t, cos_, sin_, transpose_output_memory + ) + ctx.save_for_backward(cos_, sin_) + ctx.transpose_output_memory = transpose_output_memory + + return output + + @staticmethod + def backward( + ctx, grad_output: torch.Tensor + ) -> Tuple[Union[torch.Tensor, None], ...]: + import fused_rotary_positional_embedding + + cos_, sin_ = ctx.saved_tensors + grad_input = fused_rotary_positional_embedding.backward_cached( + grad_output, cos_, sin_, ctx.transpose_output_memory + ) + + return grad_input, None, None, None + + +def fused_apply_rotary_pos_emb_cached( + t: torch.Tensor, + cos_: torch.Tensor, + sin_: torch.Tensor, + transpose_output_memory: bool = False, +) -> torch.Tensor: + """Apply rotary positional embedding to input tensor T. + + Args: + t (Tensor): Input tensor T is of shape [s, b, h, d] + cos_ (Tensor): Cached cosine of the rotary positional embedding tensor is of + shape [s, 1, 1, d] and dtype either `float` or the same as `t`. + sin_ (Tensor): Cached sine of the rotary positional embedding tensor is of + shape [s, 1, 1, d] and dtype either `float` or the same as `t`. + transpose_output_memory (bool): Default to False. Whether to transpose the 's' and 'b' + dimension of the output's underlying memory format. This is very helpful when you want to + get a contiguous tensor after calling `output.transpose(0, 1)`. + + Returns: + Tensor: The input tensor after applying RoPE + """ + return FusedRoPECachedFunc.apply(t, cos_, sin_, transpose_output_memory) diff --git a/megatron/model/transformer.py b/megatron/model/transformer.py index 195e57925..9a4fb0f42 100644 --- a/megatron/model/transformer.py +++ b/megatron/model/transformer.py @@ -33,6 +33,10 @@ apply_rotary_pos_emb, AliBi, ) +from megatron.model.fused_rope import ( + FusedRoPEFunc, + fused_apply_rotary_pos_emb_cached, +) from megatron.model.fused_bias_dropout import ( get_bias_dropout_add, bias_dropout_add_fused_train, @@ -346,6 +350,7 @@ def __init__( else: self.rotary_emb = None + self.rope_fusion = neox_args.rope_fusion self.attention_type = neox_args.attention_config[layer_number] self.use_flash_attention = self.attention_type == "flash" self.sparse = self.attention_type not in ("global", "flash") @@ -669,19 +674,25 @@ def forward(self, hidden_states, attention_mask, layer_past=None): # full rotary query_rot, key_rot = query_layer, key_layer - apply_rotary_fn = ( - apply_rotary_pos_emb_torch if self.bf16 else apply_rotary_pos_emb - ) - seq_len = key_layer.shape[0] offset = 0 if exists(layer_past) and layer_past.numel() > 0: offset = layer_past[0].shape[0] seq_len += offset cos, sin = self.rotary_emb(value_layer, seq_len=seq_len) - query_layer, key_layer = apply_rotary_fn( - query_rot, key_rot, cos, sin, offset=offset - ) + if self.rope_fusion: + query_layer, key_layer = ( + fused_apply_rotary_pos_emb_cached(rot, cos, sin) + for rot in [query_rot, key_rot] + ) + else: + if self.bf16: + apply_rotary_fn = apply_rotary_pos_emb_torch + else: + apply_rotary_fn = apply_rotary_pos_emb + query_layer, key_layer = apply_rotary_fn( + query_rot, key_rot, cos, sin, offset=offset + ) if exists(self.rotary_ndims): query_layer = torch.cat((query_layer, query_pass), dim=-1) diff --git a/megatron/neox_arguments/neox_args.py b/megatron/neox_arguments/neox_args.py index 1d58a76ab..8b76c8b32 100644 --- a/megatron/neox_arguments/neox_args.py +++ b/megatron/neox_arguments/neox_args.py @@ -260,6 +260,11 @@ class NeoXArgsModel(NeoXArgsTemplate): Enable bias and dropout fusion. """ + rope_fusion: bool = False + """ + Enable rotary embedding fusion. + """ + fp16_lm_cross_entropy: bool = False """ Move the cross entropy unreduced loss calculation for lm head to fp16. diff --git a/tests/config/test_setup.yml b/tests/config/test_setup.yml index 4cf5ffcd5..c4de20940 100644 --- a/tests/config/test_setup.yml +++ b/tests/config/test_setup.yml @@ -27,6 +27,7 @@ "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, + "rope_fusion": false, # Optimizer "optimizer": { diff --git a/tests/model/test_fused_kernels.py b/tests/model/test_fused_kernels.py index 81a596f71..be068099e 100644 --- a/tests/model/test_fused_kernels.py +++ b/tests/model/test_fused_kernels.py @@ -36,6 +36,7 @@ def test_load_fused_kernels(): try: import scaled_masked_softmax_cuda import scaled_upper_triang_masked_softmax_cuda + import fused_rotary_positional_embedding import torch print("[Success] load_fused_kernels") diff --git a/tests/test_configs/test_train_base.yml b/tests/test_configs/test_train_base.yml index 9615d2941..28e41adbf 100644 --- a/tests/test_configs/test_train_base.yml +++ b/tests/test_configs/test_train_base.yml @@ -32,6 +32,7 @@ # these should provide some speedup but takes a while to build, set to true if desired "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, + "rope_fusion": false, # optimizer settings "optimizer": { From f14782a571b9b4ff52803ce57c2bfc650670c30a Mon Sep 17 00:00:00 2001 From: segyges <65882655+segyges@users.noreply.github.com> Date: Fri, 5 Jan 2024 10:22:08 -0600 Subject: [PATCH 35/99] Add pythia 14M and 31M configs (#1111) * Add pythia 14M config * Create 31M.yml --- configs/pythia/14M.yml | 98 ++++++++++++++++++++++++++++++++++++++++++ configs/pythia/31M.yml | 97 +++++++++++++++++++++++++++++++++++++++++ 2 files changed, 195 insertions(+) create mode 100644 configs/pythia/14M.yml create mode 100644 configs/pythia/31M.yml diff --git a/configs/pythia/14M.yml b/configs/pythia/14M.yml new file mode 100644 index 000000000..7f05b4357 --- /dev/null +++ b/configs/pythia/14M.yml @@ -0,0 +1,98 @@ +{ + # parallelism settings + "pipe-parallel-size": 0, + "model-parallel-size": 1, + + # model settings + "num-layers": 6, + "hidden-size": 128, + "num-attention-heads": 4, + "seq-length": 2048, + "max-position-embeddings": 2048, + "pos-emb": "rotary", + "rotary-pct": 0.25, + "no-weight-tying": true, + "gpt-j-residual": true, + "output-layer-parallelism": "column", + + "attention-config": [[["flash"], 6]], + + "scaled-upper-triang-masked-softmax-fusion": true, + "bias-gelu-fusion": true, + + # init methods + "init_method": "small_init", + "output_layer_init_method": "wang_init", + + "optimizer": { + "type": "Adam", + "params": { + "lr": 0.001, + "betas": [0.9, 0.95], + "eps": 1.0e-8 + } + }, + "min_lr": 0.0001, + + "zero_optimization": { + "stage": 0, + "allgather_partitions": true, + "allgather_bucket_size": 50000000, + "overlap_comm": true, + "reduce_scatter": true, + "reduce_bucket_size": 50000000, + "contiguous_gradients": true, + "cpu_offload": false + }, + + # batch size (trained on 32 gpus) + "train_micro_batch_size_per_gpu": 32, + "gas": 1, + "data-impl": "mmap", + "num_workers": 4, + + # activation checkpointing + "checkpoint-activations": false, #true, + "checkpoint-num-layers": 1, + "partition-activations": false, #true, + "synchronize-each-layer": true, + + # regularization + "gradient_clipping": 1.0, + "weight-decay": 0.1, + "hidden-dropout": 0, + "attention-dropout": 0, + + # precision settings + "fp16": { + "fp16": true, + "enabled": true, + "loss_scale": 0, + "loss_scale_window": 1000, + "initial_scale_power": 12, + "hysteresis": 2, + "min_loss_scale": 1 + }, + + "train-iters": 143000, + "lr-decay-iters": 143000, + "distributed-backend": "nccl", + "lr-decay-style": "cosine", + "warmup": 0.01, + "checkpoint-factor": 1000, + "extra-save-iters": [0,1,2,4,8,16,32,64,128,256,512], + "eval-interval": 100000, + "eval-iters": 10, + + "log-interval": 10, + "steps_per_print": 10, + "wall_clock_breakdown": true, + + "train-data-paths": ["/mnt/ssd-2/pile_deduped/pile_20B_tokenizer_text_document"], + "valid-data-paths": ["/mnt/ssd-2/pile_deduped/pile_20B_tokenizer_text_document"], + "test-data-paths": ["/mnt/ssd-2/pile_deduped/pile_20B_tokenizer_text_document"], + + "tokenizer-type": "HFTokenizer", + "vocab-file": "/mnt/ssd-2/pile/20B_tokenizer.json" + +} diff --git a/configs/pythia/31M.yml b/configs/pythia/31M.yml new file mode 100644 index 000000000..ebfac7725 --- /dev/null +++ b/configs/pythia/31M.yml @@ -0,0 +1,97 @@ +{ + # parallelism settings + "pipe-parallel-size": 0, + "model-parallel-size": 1, + + # model settings + "num-layers": 6, + "hidden-size": 256, + "num-attention-heads": 8, + "seq-length": 2048, + "max-position-embeddings": 2048, + "pos-emb": "rotary", + "rotary-pct": 0.25, + "no-weight-tying": true, + "gpt-j-residual": true, + "output-layer-parallelism": "column", + + "attention-config": [[["flash"], 6]], + + "scaled-upper-triang-masked-softmax-fusion": true, + "bias-gelu-fusion": true, + + # init methods + "init_method": "small_init", + "output_layer_init_method": "wang_init", + + "optimizer": { + "type": "Adam", + "params": { + "lr": 0.001, + "betas": [0.9, 0.95], + "eps": 1.0e-8 + } + }, + "min_lr": 0.0001, + + "zero_optimization": { + "stage": 0, + "allgather_partitions": true, + "allgather_bucket_size": 500000000, + "overlap_comm": true, + "reduce_scatter": true, + "reduce_bucket_size": 500000000, + "contiguous_gradients": true, + "cpu_offload": false + }, + + # batch size (trained on 32 gpus) + "train_micro_batch_size_per_gpu": 32, + "gas": 1, + "data-impl": "mmap", + "num_workers": 2, + + # activation checkpointing + "checkpoint-activations": false, + "checkpoint-num-layers": 1, + "partition-activations": false, + "synchronize-each-layer": true, + + # regularization + "gradient_clipping": 1.0, + "weight-decay": 0.1, + "hidden-dropout": 0, + "attention-dropout": 0, + + # precision settings + "fp16": { + "fp16": true, + "enabled": true, + "loss_scale": 0, + "loss_scale_window": 1000, + "initial_scale_power": 12, + "hysteresis": 2, + "min_loss_scale": 1 + }, + + "train-iters": 143000, + "lr-decay-iters": 143000, + "distributed-backend": "nccl", + "lr-decay-style": "cosine", + "warmup": 0.01, + "checkpoint-factor": 1000, + "extra-save-iters": [0,1,2,4,8,16,32,64,128,256,512], + "eval-interval": 100000, + "eval-iters": 10, + "log-interval": 10, + "steps_per_print": 10, + "wall_clock_breakdown": true, + + "train-data-paths": ["/mnt/ssd-2/pile_deduped/pile_20B_tokenizer_text_document"], + "valid-data-paths": ["/mnt/ssd-2/pile_deduped/pile_20B_tokenizer_text_document"], + "test-data-paths": ["/mnt/ssd-2/pile_deduped/pile_20B_tokenizer_text_document"], + + "tokenizer-type": "HFTokenizer", + "vocab-file": "/mnt/ssd-2/pile/20B_tokenizer.json" + +} From e6e944acdab75f9783c9b4b97eb15b17e0d9ee3e Mon Sep 17 00:00:00 2001 From: segyges <65882655+segyges@users.noreply.github.com> Date: Tue, 9 Jan 2024 10:52:30 -0600 Subject: [PATCH 36/99] Add docker compose and change containerized setup instructions to use it (#1113) * Add pythia 14M config * Create 31M.yml * Add docker compose, update readme docker instructions to utilize it * Add logging limits to docker-compose files * Change data mount from /gpt-neox/data to /data/ This prevents possible errors if the user already has a /data/ directory in their /gpt-neox/ folder * Update README.md Makes the code blocks into blocks in the changed parts * Make the docker-compose spinup tidier * Avoid config bloat by only providing the updated paths * Apply precommit --------- Co-authored-by: Quentin Anthony --- Dockerfile | 10 +++--- README.md | 64 ++++++++++++++++++++++++++++++++++-- configs/docker/paths.yml | 12 +++++++ configs/pythia/14M.yml | 2 +- configs/pythia/31M.yml | 4 +-- docker-compose-dockerhub.yml | 25 ++++++++++++++ docker-compose.yml | 28 ++++++++++++++++ 7 files changed, 134 insertions(+), 11 deletions(-) create mode 100644 configs/docker/paths.yml create mode 100644 docker-compose-dockerhub.yml create mode 100644 docker-compose.yml diff --git a/Dockerfile b/Dockerfile index 8de2011f5..bd30c11c3 100644 --- a/Dockerfile +++ b/Dockerfile @@ -26,11 +26,11 @@ LABEL org.opencontainers.image.base.name="docker.io/nvidia/cuda:11.7.1-devel-ubu #### System package (uses default Python 3 version in Ubuntu 20.04) RUN apt-get update -y && \ apt-get install -y \ - git python3.9 python3-dev libpython3-dev python3-pip sudo pdsh \ - htop llvm-9-dev tmux zstd software-properties-common build-essential autotools-dev \ - nfs-common pdsh cmake g++ gcc curl wget vim less unzip htop iftop iotop ca-certificates ssh \ - rsync iputils-ping net-tools libcupti-dev libmlx4-1 infiniband-diags ibutils ibverbs-utils \ - rdmacm-utils perftest rdma-core nano && \ + git python3.9 python3-dev libpython3-dev python3-pip sudo pdsh \ + htop llvm-9-dev tmux zstd software-properties-common build-essential autotools-dev \ + nfs-common pdsh cmake g++ gcc curl wget vim less unzip htop iftop iotop ca-certificates ssh \ + rsync iputils-ping net-tools libcupti-dev libmlx4-1 infiniband-diags ibutils ibverbs-utils \ + rdmacm-utils perftest rdma-core nano && \ update-alternatives --install /usr/bin/python python /usr/bin/python3 1 && \ update-alternatives --install /usr/bin/pip pip /usr/bin/pip3 1 && \ pip install --upgrade pip && \ diff --git a/README.md b/README.md index d8cba6ffb..f82bedec0 100644 --- a/README.md +++ b/README.md @@ -225,11 +225,69 @@ You can then kick off a training run with `sbatch my_sbatch_script.sh` ### Containerized Setup -We also provide a Dockerfile if you prefer to run NeoX in a container. To use this option, first build an image named `gpt-neox` from the repository root directory with `docker build -t gpt-neox -f Dockerfile .`. We also host pre-built images on [Docker Hub at `leogao2/gpt-neox`](https://hub.docker.com/r/leogao2/gpt-neox/tags). +We also provide a Dockerfile and docker-compose configuration if you prefer to run NeoX in a container. + +Requirements to run the container are to have appropriate GPU drivers, an up-to-date installation of Docker, and [nvidia-container-toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html) installed. To test if your installation is good you can use their "sample workload", which is: + +``` +docker run --rm --runtime=nvidia --gpus all ubuntu nvidia-smi +``` + +Provided that will run, you need to export NEOX_DATA_PATH and NEOX_CHECKPOINT_PATH in your environment to specify your data directory and directory for storing and loading checkpoints: + +``` +export NEOX_DATA_PATH=/mnt/sda/data/enwiki8 #or wherever your data is stored on your system +export NEOX_CHECKPOINT_PATH=/mnt/sda/checkpoints +``` + +And then, from the gpt-neox directory, you can build the image and run a shell in a container with + +``` +docker compose run gpt-neox bash +``` + +After the build, you should be able to do this: +``` +mchorse@537851ed67de:~$ echo $(pwd) +/home/mchorse +mchorse@537851ed67de:~$ ls -al +total 48 +drwxr-xr-x 1 mchorse mchorse 4096 Jan 8 05:33 . +drwxr-xr-x 1 root root 4096 Jan 8 04:09 .. +-rw-r--r-- 1 mchorse mchorse 220 Feb 25 2020 .bash_logout +-rw-r--r-- 1 mchorse mchorse 3972 Jan 8 04:09 .bashrc +drwxr-xr-x 4 mchorse mchorse 4096 Jan 8 05:35 .cache +drwx------ 3 mchorse mchorse 4096 Jan 8 05:33 .nv +-rw-r--r-- 1 mchorse mchorse 807 Feb 25 2020 .profile +drwxr-xr-x 2 root root 4096 Jan 8 04:09 .ssh +drwxrwxr-x 8 mchorse mchorse 4096 Jan 8 05:35 chk +drwxrwxrwx 6 root root 4096 Jan 7 17:02 data +drwxr-xr-x 11 mchorse mchorse 4096 Jan 8 03:52 gpt-neox +``` + +For a long-running job, you should run + +``` +docker compose up -d +``` + +to run the container in detached mode, and then, in a separate terminal session, run + +``` +docker compose exec gpt-neox bash +``` + +You can then run any job you want from inside the container. + +Concerns when running for a long time or in detached mode include + - You will have to terminate the container manually when you are no longer using it + - If you want processes to continue running when your shell session ends, you will need to background them. + - If you then want logging, you will have to make sure to pipe logs to disk or set up wandb. + +If you prefer to run the prebuilt container image from dockerhub, you can run the docker compose commands with ```-f docker-compose-dockerhub.yml``` instead, e.g., -You can then run a container based on this image. For instance, the below snippet mounts the cloned repository (`gpt-neox`) directory to `/gpt-neox` in the container and uses [nvidia-docker](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html) to make four GPUs (numbers 0-3) accessible to the container. [As noted by the NCCL documentation](https://docs.nvidia.com/deeplearning/nccl/user-guide/docs/troubleshooting.html#sharing-data), both `--shm-size=1g` and `--ulimit memlock=-1` are important to prevent Docker from allocating too little shared memory. ``` -nvidia-docker run --rm -it -e NVIDIA_VISIBLE_DEVICES=0,1,2,3 --shm-size=1g --ulimit memlock=-1 --mount type=bind,src=$PWD,dst=/gpt-neox gpt-neox +docker compose run -f docker-compose-dockerhub.yml gpt-neox bash ``` ## Usage diff --git a/configs/docker/paths.yml b/configs/docker/paths.yml new file mode 100644 index 000000000..442d61cf3 --- /dev/null +++ b/configs/docker/paths.yml @@ -0,0 +1,12 @@ +{ + "train-data-paths": ["/home/mchorse/data/pile_deduped/pile_0.87_deduped_text_document"], + "valid-data-paths": ["/home/mchorse/data/pile_deduped/pile_0.87_deduped_text_document"], + "test-data-paths": ["/home/mchorse/data/pile_deduped/pile_0.87_deduped_text_document"], + + "tokenizer-type": "HFTokenizer", + "vocab-file": "/home/mchorse/data/tokenizers/20B_tokenizer.json", + + "save": "/home/mchorse/chk/", + "load": "/home/mchorse/chk/", + "checkpoint_validation_with_forward_pass": False +} diff --git a/configs/pythia/14M.yml b/configs/pythia/14M.yml index 7f05b4357..41b11fcca 100644 --- a/configs/pythia/14M.yml +++ b/configs/pythia/14M.yml @@ -14,7 +14,7 @@ "no-weight-tying": true, "gpt-j-residual": true, "output-layer-parallelism": "column", - + "attention-config": [[["flash"], 6]], "scaled-upper-triang-masked-softmax-fusion": true, diff --git a/configs/pythia/31M.yml b/configs/pythia/31M.yml index ebfac7725..82f8ed343 100644 --- a/configs/pythia/31M.yml +++ b/configs/pythia/31M.yml @@ -14,7 +14,7 @@ "no-weight-tying": true, "gpt-j-residual": true, "output-layer-parallelism": "column", - + "attention-config": [[["flash"], 6]], "scaled-upper-triang-masked-softmax-fusion": true, @@ -54,7 +54,7 @@ # activation checkpointing "checkpoint-activations": false, "checkpoint-num-layers": 1, - "partition-activations": false, + "partition-activations": false, "synchronize-each-layer": true, # regularization diff --git a/docker-compose-dockerhub.yml b/docker-compose-dockerhub.yml new file mode 100644 index 000000000..0207e63f0 --- /dev/null +++ b/docker-compose-dockerhub.yml @@ -0,0 +1,25 @@ +version: '3' +services: + gpt-neox: + command: nvidia-smi -q --loop=10 + image: leogao2/gpt-neox:main + shm_size: 1g + ulimits: + memlock: + soft: -1 + hard: -1 + runtime: nvidia + deploy: + resources: + reservations: + devices: + - driver: nvidia + capabilities: [gpu] + logging: + options: + max-size: "100m" + max-file: "3" + volumes: + - ${NEOX_DATA_PATH}:/home/mchorse/data + - ${NEOX_CHECKPOINT_PATH}:/home/mchorse/chk + - .:/home/mchorse/gpt-neox diff --git a/docker-compose.yml b/docker-compose.yml new file mode 100644 index 000000000..a12213e00 --- /dev/null +++ b/docker-compose.yml @@ -0,0 +1,28 @@ +version: '3' +services: + gpt-neox: + command: nvidia-smi -q --loop=10 + image: gpt-neox + build: + context: . + dockerfile: Dockerfile + shm_size: 1g + ulimits: + memlock: + soft: -1 + hard: -1 + runtime: nvidia + deploy: + resources: + reservations: + devices: + - driver: nvidia + capabilities: [gpu] + logging: + options: + max-size: "100m" + max-file: "3" + volumes: + - ${NEOX_DATA_PATH}:/home/mchorse/data + - ${NEOX_CHECKPOINT_PATH}:/home/mchorse/chk + - .:/home/mchorse/gpt-neox From 92b1b6f9b9af86775f0025bbf56a35d8f320b411 Mon Sep 17 00:00:00 2001 From: segyges <65882655+segyges@users.noreply.github.com> Date: Wed, 10 Jan 2024 21:45:14 -0600 Subject: [PATCH 37/99] Fix openwebtext2 downloader, backport improvements to DataDownloader (#1116) --- tools/datasets/corpora.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tools/datasets/corpora.py b/tools/datasets/corpora.py index 9056b8f97..7d2ec4e8c 100644 --- a/tools/datasets/corpora.py +++ b/tools/datasets/corpora.py @@ -246,7 +246,7 @@ class HackerNews(DataDownloader): class OpenWebText2(DataDownloader): name = "openwebtext2" urls = [ - "https://the-eye.eu/public/AI/pile_preliminary_components/openwebtext2.jsonl.zst.tar" + "https://huggingface.co/datasets/segyges/OpenWebText2/resolve/main/openwebtext2.jsonl.zst.tar" ] num_docs = 17103000 From 90f70ff74613293c59391c9f8e469a8e56a75733 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Fri, 12 Jan 2024 19:07:51 -0500 Subject: [PATCH 38/99] Bump jinja2 from 3.1.2 to 3.1.3 in /requirements (#1120) Bumps [jinja2](https://github.com/pallets/jinja) from 3.1.2 to 3.1.3. - [Release notes](https://github.com/pallets/jinja/releases) - [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst) - [Commits](https://github.com/pallets/jinja/compare/3.1.2...3.1.3) --- updated-dependencies: - dependency-name: jinja2 dependency-type: direct:production ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- requirements/requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements/requirements.txt b/requirements/requirements.txt index f1beae87a..4c9a3ca64 100644 --- a/requirements/requirements.txt +++ b/requirements/requirements.txt @@ -3,7 +3,7 @@ git+https://github.com/EleutherAI/DeeperSpeed.git@b9260436e7da3e297fc6bedfd27d9e ftfy>=6.0.1 git+https://github.com/EleutherAI/lm_dataformat.git@4eec05349977071bf67fc072290b95e31c8dd836 huggingface_hub>=0.11.0 -jinja2==3.1.2 +jinja2==3.1.3 git+https://github.com/EleutherAI/lm-evaluation-harness.git@main#egg=lm_eval mpi4py>=3.0.3 numpy>=1.22.0 From 63991555ec082c8f80c475f851d008193b10008c Mon Sep 17 00:00:00 2001 From: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com> Date: Fri, 19 Jan 2024 10:32:17 -0500 Subject: [PATCH 39/99] Enable passing of `--account` to `srun` / SlurmLauncher (#1126) * add `account` to Deepspeed args * Add handling of `account` when `deepspeed_slurm` is set * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions --- configs/neox_arguments.md | 19 ++++++++++++++----- megatron/neox_arguments/arguments.py | 6 ++++++ megatron/neox_arguments/deepspeed_args.py | 7 ++++++- 3 files changed, 26 insertions(+), 6 deletions(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index a60ef7716..99fe657f7 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 31cb364 + Default = a300979 current git hash of repository @@ -968,7 +968,7 @@ Text Generation arguments - **prompt_end**: str - Default = + Default = a single prompt's end. Defaults to newline @@ -1010,7 +1010,7 @@ Text Generation arguments - **eval_results_prefix**: str - Default = + Default = prefix to which to save evaluation results - final fp will be {eval_results_prefix}_eval_results_yy-mm-dd-HH-MM.json @@ -1760,7 +1760,7 @@ Args for deepspeed config Default = None - + @@ -2051,4 +2051,13 @@ Args for deepspeed runner (deepspeed.launcher.runner). Default = None - Adds a `--comment` to the DeepSpeed launch command. In DeeperSpeed this is passed on to the SlurmLauncher as well. Sometime necessary for cluster rules, or so I've heard. + Adds a `--comment` to the DeepSpeed launch command. In DeeperSpeed this is passed on to the SlurmLauncher as well. Sometimes necessary for cluster rules, or so I've heard. + + + +- **account**: str + + Default = None + + Adds a `--account` to the DeepSpeed launch command. In DeeperSpeed this is passed on to the SlurmLauncher as well. Sometimes necessary for cluster rules, or so I've heard. + diff --git a/megatron/neox_arguments/arguments.py b/megatron/neox_arguments/arguments.py index 8cd5881f7..d293f7b6a 100644 --- a/megatron/neox_arguments/arguments.py +++ b/megatron/neox_arguments/arguments.py @@ -505,6 +505,12 @@ def get_deepspeed_main_args(self): args_list.extend( self.convert_key_value_to_command_line_arg("comment", comment) ) + account = getattr(self, "account") + if account: + args_list.extend( + self.convert_key_value_to_command_line_arg("account", account) + ) + # master_address = os.environ['SLURM_JOB_NODELIST'].split('\n')[0] # args_list.extend( # self.convert_key_value_to_command_line_arg('master_addr', master_address) diff --git a/megatron/neox_arguments/deepspeed_args.py b/megatron/neox_arguments/deepspeed_args.py index 15b35e411..071c3d3b7 100644 --- a/megatron/neox_arguments/deepspeed_args.py +++ b/megatron/neox_arguments/deepspeed_args.py @@ -358,5 +358,10 @@ class NeoXArgsDeepspeedRunner(NeoXArgsTemplate): comment: str = None """ - Adds a `--comment` to the DeepSpeed launch command. In DeeperSpeed this is passed on to the SlurmLauncher as well. Sometime necessary for cluster rules, or so I've heard. + Adds a `--comment` to the DeepSpeed launch command. In DeeperSpeed this is passed on to the SlurmLauncher as well. Sometimes necessary for cluster rules, or so I've heard. + """ + + account: str = None + """ + Adds a `--account` to the DeepSpeed launch command. In DeeperSpeed this is passed on to the SlurmLauncher as well. Sometimes necessary for cluster rules, or so I've heard. """ From 7a8fa2f013e7c4b3bf6463c26903d10c08813b07 Mon Sep 17 00:00:00 2001 From: Jacob Hatef <74274091+jahatef@users.noreply.github.com> Date: Wed, 24 Jan 2024 16:18:07 -0500 Subject: [PATCH 40/99] update copyrights (#1128) * update copyrights * Update NeoXArgs docs automatically * nvidia copyright years * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions --- Dockerfile | 2 +- LICENSE | 6 +++--- README.md | 2 +- configs/neox_arguments.md | 2 +- deepy.py | 2 +- eval.py | 4 ++-- eval_tasks/__init__.py | 2 +- eval_tasks/eval_adapter.py | 2 +- generate.py | 4 ++-- megatron/__init__.py | 2 +- megatron/checkpointing.py | 4 ++-- megatron/data/blendable_dataset.py | 4 ++-- megatron/data/data_utils.py | 2 +- megatron/data/gpt2_dataset.py | 4 ++-- megatron/data/helpers.cpp | 2 +- megatron/data/indexed_dataset.py | 2 +- megatron/data/samplers.py | 4 ++-- megatron/fused_kernels/__init__.py | 2 +- megatron/fused_kernels/compat.h | 2 +- .../fused_kernels/fused_rotary_positional_embedding.cpp | 2 +- megatron/fused_kernels/fused_rotary_positional_embedding.h | 2 +- .../fused_kernels/fused_rotary_positional_embedding_cuda.cu | 2 +- megatron/fused_kernels/scaled_masked_softmax.cpp | 2 +- megatron/fused_kernels/scaled_masked_softmax.h | 2 +- megatron/fused_kernels/scaled_masked_softmax_cuda.cu | 2 +- .../fused_kernels/scaled_upper_triang_masked_softmax.cpp | 2 +- megatron/fused_kernels/scaled_upper_triang_masked_softmax.h | 2 +- .../scaled_upper_triang_masked_softmax_cuda.cu | 2 +- megatron/fused_kernels/setup.py | 2 +- megatron/gradient_noise_scale/gradient_noise_scale.py | 2 +- megatron/initialize.py | 4 ++-- megatron/learning_rates.py | 4 ++-- megatron/logging.py | 2 +- megatron/model/__init__.py | 4 ++-- megatron/model/activations.py | 4 ++-- megatron/model/fused_bias_dropout.py | 2 +- megatron/model/fused_rope.py | 2 +- megatron/model/fused_softmax.py | 4 ++-- megatron/model/gmlp.py | 2 +- megatron/model/gpt2_model.py | 4 ++-- megatron/model/init_functions.py | 2 +- megatron/model/norms.py | 2 +- megatron/model/positional_embeddings.py | 2 +- megatron/model/transformer.py | 4 ++-- megatron/model/utils.py | 4 ++-- megatron/model/word_embeddings.py | 2 +- megatron/mpu/__init__.py | 2 +- megatron/mpu/cross_entropy.py | 4 ++-- megatron/mpu/data.py | 2 +- megatron/mpu/initialize.py | 4 ++-- megatron/mpu/layers.py | 4 ++-- megatron/mpu/mappings.py | 4 ++-- megatron/mpu/random.py | 2 +- megatron/mpu/utils.py | 4 ++-- megatron/neox_arguments/arguments.py | 2 +- megatron/neox_arguments/deepspeed_args.py | 2 +- megatron/neox_arguments/neox_args.py | 2 +- megatron/neox_arguments/template.py | 2 +- megatron/optimizers.py | 2 +- megatron/text_generation_utils.py | 4 ++-- megatron/tokenizer/__init__.py | 2 +- megatron/tokenizer/tokenizer.py | 4 ++-- megatron/tokenizer/train_tokenizer.py | 2 +- megatron/training.py | 4 ++-- megatron/utils.py | 4 ++-- prepare_data.py | 2 +- tests/common.py | 2 +- tests/model/__init__.py | 2 +- tests/model/test_fused_kernels.py | 2 +- tests/model/test_model_checkpoint.py | 2 +- tests/model/test_model_generation.py | 2 +- tests/model/test_model_instantiation.py | 2 +- tests/model/test_model_train.py | 2 +- tests/neox_args/test_neoxargs_commandline.py | 2 +- tests/neox_args/test_neoxargs_implementation.py | 2 +- tests/neox_args/test_neoxargs_load.py | 2 +- tests/neox_args/test_neoxargs_usage.py | 2 +- tests/pytest.ini | 2 +- tests/test_configs/test_train_base.yml | 2 +- tests/unit/test_arguments.py | 2 +- tests/unit/test_launcher_scripts.py | 2 +- tools/bash/sync.sh | 2 +- tools/bash/sync_cmd.sh | 2 +- tools/bash/syncdir.sh | 2 +- tools/ckpts/convert_module_to_hf.py | 2 +- tools/ckpts/convert_raw_llama_weights_to_neox.py | 2 +- tools/ckpts/convert_sequential_to_hf.py | 2 +- tools/ckpts/inspect_checkpoints.py | 2 +- tools/ckpts/merge20b.py | 2 +- tools/ckpts/upload.py | 2 +- tools/datasets/corpora.py | 2 +- tools/datasets/preprocess_data.py | 4 ++-- tools/datasets/preprocess_data_with_mask.py | 4 ++-- train.py | 4 ++-- 94 files changed, 122 insertions(+), 122 deletions(-) diff --git a/Dockerfile b/Dockerfile index bd30c11c3..e2f0a3d4c 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/LICENSE b/LICENSE index 99cf99888..b7224a614 100644 --- a/LICENSE +++ b/LICENSE @@ -1,5 +1,5 @@ Apache License - Version 2.0, January 2004 + Version 2.0, January 2024 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION @@ -211,7 +211,7 @@ used in those files, as indicated. ------------- LICENSE FOR NVIDIA code -------------- -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions @@ -241,7 +241,7 @@ used in those files, as indicated. Apache License - Version 2.0, January 2004 + Version 2.0, January 2024 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION diff --git a/README.md b/README.md index f82bedec0..7e649707a 100644 --- a/README.md +++ b/README.md @@ -639,7 +639,7 @@ To cite the 20 billion parameter model named `GPT-NeoX-20B`, please use ## Licensing -This repository hosts code that is part of EleutherAI's GPT-NeoX project. Copyright (c) 2021, EleutherAI. Licensed under the Apache License: +This repository hosts code that is part of EleutherAI's GPT-NeoX project. Copyright (c) 2024, EleutherAI. Licensed under the Apache License: Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 99fe657f7..e7f6b1ef8 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = a300979 + Default = 765c219 current git hash of repository diff --git a/deepy.py b/deepy.py index eacbd9dec..e4dc7a3fd 100755 --- a/deepy.py +++ b/deepy.py @@ -1,5 +1,5 @@ #!/usr/bin/env python -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/eval.py b/eval.py index 7b7a74a6f..93093f21d 100644 --- a/eval.py +++ b/eval.py @@ -1,7 +1,7 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/eval_tasks/__init__.py b/eval_tasks/__init__.py index d17c7458e..6cb4e30ca 100644 --- a/eval_tasks/__init__.py +++ b/eval_tasks/__init__.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/eval_tasks/eval_adapter.py b/eval_tasks/eval_adapter.py index 63c4a4a72..abbd5ca8d 100644 --- a/eval_tasks/eval_adapter.py +++ b/eval_tasks/eval_adapter.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/generate.py b/generate.py index 100950f00..743e350d0 100755 --- a/generate.py +++ b/generate.py @@ -1,8 +1,8 @@ #!/usr/bin/env python -# Copyright (c) 2021 EleutherAI +# Copyright (c) 2024 EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/__init__.py b/megatron/__init__.py index 8cd7804c9..fc254fe3d 100644 --- a/megatron/__init__.py +++ b/megatron/__init__.py @@ -1,4 +1,4 @@ -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/checkpointing.py b/megatron/checkpointing.py index bbaa0f7f9..12b81e202 100644 --- a/megatron/checkpointing.py +++ b/megatron/checkpointing.py @@ -1,7 +1,7 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/data/blendable_dataset.py b/megatron/data/blendable_dataset.py index e05c58429..0392841cb 100644 --- a/megatron/data/blendable_dataset.py +++ b/megatron/data/blendable_dataset.py @@ -1,7 +1,7 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/data/data_utils.py b/megatron/data/data_utils.py index 513dd0e21..bc5754cdb 100644 --- a/megatron/data/data_utils.py +++ b/megatron/data/data_utils.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/data/gpt2_dataset.py b/megatron/data/gpt2_dataset.py index c222fb3da..75e601fda 100644 --- a/megatron/data/gpt2_dataset.py +++ b/megatron/data/gpt2_dataset.py @@ -1,7 +1,7 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/data/helpers.cpp b/megatron/data/helpers.cpp index 830326c3f..9b062b050 100644 --- a/megatron/data/helpers.cpp +++ b/megatron/data/helpers.cpp @@ -1,6 +1,6 @@ /* coding=utf-8 - Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. + Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. diff --git a/megatron/data/indexed_dataset.py b/megatron/data/indexed_dataset.py index 81d99b0cd..8165205b9 100644 --- a/megatron/data/indexed_dataset.py +++ b/megatron/data/indexed_dataset.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # # Copyright (c) Facebook, Inc. and its affiliates. diff --git a/megatron/data/samplers.py b/megatron/data/samplers.py index 5e14b4a78..a9428e41c 100644 --- a/megatron/data/samplers.py +++ b/megatron/data/samplers.py @@ -1,7 +1,7 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/fused_kernels/__init__.py b/megatron/fused_kernels/__init__.py index fff97986a..f6ac063ce 100644 --- a/megatron/fused_kernels/__init__.py +++ b/megatron/fused_kernels/__init__.py @@ -1,4 +1,4 @@ -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/fused_kernels/compat.h b/megatron/fused_kernels/compat.h index 251337d68..88867dc7e 100644 --- a/megatron/fused_kernels/compat.h +++ b/megatron/fused_kernels/compat.h @@ -1,5 +1,5 @@ /* coding=utf-8 - * Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. + * Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. diff --git a/megatron/fused_kernels/fused_rotary_positional_embedding.cpp b/megatron/fused_kernels/fused_rotary_positional_embedding.cpp index 878f1b2c0..e1a77de2b 100644 --- a/megatron/fused_kernels/fused_rotary_positional_embedding.cpp +++ b/megatron/fused_kernels/fused_rotary_positional_embedding.cpp @@ -1,5 +1,5 @@ /* coding=utf-8 - * Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved. + * Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. diff --git a/megatron/fused_kernels/fused_rotary_positional_embedding.h b/megatron/fused_kernels/fused_rotary_positional_embedding.h index cd67a28d3..aafd5104d 100644 --- a/megatron/fused_kernels/fused_rotary_positional_embedding.h +++ b/megatron/fused_kernels/fused_rotary_positional_embedding.h @@ -1,5 +1,5 @@ /* coding=utf-8 - * Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved. + * Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. diff --git a/megatron/fused_kernels/fused_rotary_positional_embedding_cuda.cu b/megatron/fused_kernels/fused_rotary_positional_embedding_cuda.cu index 0f37dff41..6b54662bc 100644 --- a/megatron/fused_kernels/fused_rotary_positional_embedding_cuda.cu +++ b/megatron/fused_kernels/fused_rotary_positional_embedding_cuda.cu @@ -1,5 +1,5 @@ /* coding=utf-8 - * Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved. + * Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. diff --git a/megatron/fused_kernels/scaled_masked_softmax.cpp b/megatron/fused_kernels/scaled_masked_softmax.cpp index b7c162c78..6a210cc37 100644 --- a/megatron/fused_kernels/scaled_masked_softmax.cpp +++ b/megatron/fused_kernels/scaled_masked_softmax.cpp @@ -1,5 +1,5 @@ /* coding=utf-8 - * Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. + * Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. diff --git a/megatron/fused_kernels/scaled_masked_softmax.h b/megatron/fused_kernels/scaled_masked_softmax.h index 977e59481..a594a13c1 100644 --- a/megatron/fused_kernels/scaled_masked_softmax.h +++ b/megatron/fused_kernels/scaled_masked_softmax.h @@ -1,5 +1,5 @@ /* coding=utf-8 - * Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. + * Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. diff --git a/megatron/fused_kernels/scaled_masked_softmax_cuda.cu b/megatron/fused_kernels/scaled_masked_softmax_cuda.cu index 757850d2b..26c2d1820 100644 --- a/megatron/fused_kernels/scaled_masked_softmax_cuda.cu +++ b/megatron/fused_kernels/scaled_masked_softmax_cuda.cu @@ -1,5 +1,5 @@ /* coding=utf-8 - * Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. + * Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. diff --git a/megatron/fused_kernels/scaled_upper_triang_masked_softmax.cpp b/megatron/fused_kernels/scaled_upper_triang_masked_softmax.cpp index 945c48c43..cedd649a2 100644 --- a/megatron/fused_kernels/scaled_upper_triang_masked_softmax.cpp +++ b/megatron/fused_kernels/scaled_upper_triang_masked_softmax.cpp @@ -1,5 +1,5 @@ /* coding=utf-8 - * Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. + * Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. diff --git a/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h b/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h index b0757196b..b48afeee4 100644 --- a/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h +++ b/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h @@ -1,5 +1,5 @@ /* coding=utf-8 - * Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. + * Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. diff --git a/megatron/fused_kernels/scaled_upper_triang_masked_softmax_cuda.cu b/megatron/fused_kernels/scaled_upper_triang_masked_softmax_cuda.cu index 7ced78acd..99a52abd5 100644 --- a/megatron/fused_kernels/scaled_upper_triang_masked_softmax_cuda.cu +++ b/megatron/fused_kernels/scaled_upper_triang_masked_softmax_cuda.cu @@ -1,5 +1,5 @@ /* coding=utf-8 - * Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. + * Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. diff --git a/megatron/fused_kernels/setup.py b/megatron/fused_kernels/setup.py index d800b2a00..528a20676 100644 --- a/megatron/fused_kernels/setup.py +++ b/megatron/fused_kernels/setup.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/gradient_noise_scale/gradient_noise_scale.py b/megatron/gradient_noise_scale/gradient_noise_scale.py index 9c518a9cd..71076ffc3 100644 --- a/megatron/gradient_noise_scale/gradient_noise_scale.py +++ b/megatron/gradient_noise_scale/gradient_noise_scale.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/initialize.py b/megatron/initialize.py index dd752659b..72779b094 100644 --- a/megatron/initialize.py +++ b/megatron/initialize.py @@ -1,7 +1,7 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/learning_rates.py b/megatron/learning_rates.py index f0fcca27e..9db951aa0 100644 --- a/megatron/learning_rates.py +++ b/megatron/learning_rates.py @@ -1,7 +1,7 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/logging.py b/megatron/logging.py index ac404da85..6c9b7915e 100644 --- a/megatron/logging.py +++ b/megatron/logging.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI. +# Copyright (c) 2024, EleutherAI. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/model/__init__.py b/megatron/model/__init__.py index 9af46de95..619b4c33d 100755 --- a/megatron/model/__init__.py +++ b/megatron/model/__init__.py @@ -1,7 +1,7 @@ # -# Copyright 2021 Biderman et al. This file is based on code by the authors denoted below and has been modified from its original version. +# Copyright 2024 Biderman et al. This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/model/activations.py b/megatron/model/activations.py index 5c4ba1d5a..7a29b0716 100644 --- a/megatron/model/activations.py +++ b/megatron/model/activations.py @@ -1,7 +1,7 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/model/fused_bias_dropout.py b/megatron/model/fused_bias_dropout.py index afe1f0719..8618a2a7e 100644 --- a/megatron/model/fused_bias_dropout.py +++ b/megatron/model/fused_bias_dropout.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI contributors +# Copyright (c) 2024, EleutherAI contributors # This file is based on code by the authors denoted below and has been modified from its original version. # # Licensed under the Apache License, Version 2.0 (the "License"); diff --git a/megatron/model/fused_rope.py b/megatron/model/fused_rope.py index 9f63f1537..94e96253d 100644 --- a/megatron/model/fused_rope.py +++ b/megatron/model/fused_rope.py @@ -1,4 +1,4 @@ -# Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/model/fused_softmax.py b/megatron/model/fused_softmax.py index 78f2992ad..bce2e1992 100644 --- a/megatron/model/fused_softmax.py +++ b/megatron/model/fused_softmax.py @@ -1,7 +1,7 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/model/gmlp.py b/megatron/model/gmlp.py index e4e29dad5..c3462c651 100644 --- a/megatron/model/gmlp.py +++ b/megatron/model/gmlp.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # # Licensed under the Apache License, Version 2.0 (the "License"); diff --git a/megatron/model/gpt2_model.py b/megatron/model/gpt2_model.py index ce9c39da9..e083351cc 100644 --- a/megatron/model/gpt2_model.py +++ b/megatron/model/gpt2_model.py @@ -1,7 +1,7 @@ -# Copyright (c) 2021 EleutherAI +# Copyright (c) 2024 EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/model/init_functions.py b/megatron/model/init_functions.py index 11bcdc310..ad8ebc05a 100644 --- a/megatron/model/init_functions.py +++ b/megatron/model/init_functions.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/model/norms.py b/megatron/model/norms.py index ddb45c3f3..08056edc2 100644 --- a/megatron/model/norms.py +++ b/megatron/model/norms.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/model/positional_embeddings.py b/megatron/model/positional_embeddings.py index 29c8a7e65..16cd22ad8 100644 --- a/megatron/model/positional_embeddings.py +++ b/megatron/model/positional_embeddings.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/model/transformer.py b/megatron/model/transformer.py index 9a4fb0f42..61ba3f3bf 100644 --- a/megatron/model/transformer.py +++ b/megatron/model/transformer.py @@ -1,7 +1,7 @@ -# Copyright (c) 2021 EleutherAI +# Copyright (c) 2024 EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/model/utils.py b/megatron/model/utils.py index 6beac5ca2..990d9e69c 100644 --- a/megatron/model/utils.py +++ b/megatron/model/utils.py @@ -1,7 +1,7 @@ -# Copyright (c) 2021 EleutherAI +# Copyright (c) 2024 EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/model/word_embeddings.py b/megatron/model/word_embeddings.py index 488baf042..f7372bc55 100644 --- a/megatron/model/word_embeddings.py +++ b/megatron/model/word_embeddings.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/mpu/__init__.py b/megatron/mpu/__init__.py index 611d2adbf..81e329e68 100644 --- a/megatron/mpu/__init__.py +++ b/megatron/mpu/__init__.py @@ -1,4 +1,4 @@ -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/mpu/cross_entropy.py b/megatron/mpu/cross_entropy.py index d28e0cc6b..d9f04703d 100644 --- a/megatron/mpu/cross_entropy.py +++ b/megatron/mpu/cross_entropy.py @@ -1,7 +1,7 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/mpu/data.py b/megatron/mpu/data.py index 7b937053b..87e2a9615 100644 --- a/megatron/mpu/data.py +++ b/megatron/mpu/data.py @@ -1,4 +1,4 @@ -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/mpu/initialize.py b/megatron/mpu/initialize.py index 325e46ba4..aba33395b 100644 --- a/megatron/mpu/initialize.py +++ b/megatron/mpu/initialize.py @@ -1,7 +1,7 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/mpu/layers.py b/megatron/mpu/layers.py index 92edbd6eb..19dff0b5f 100644 --- a/megatron/mpu/layers.py +++ b/megatron/mpu/layers.py @@ -1,7 +1,7 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/mpu/mappings.py b/megatron/mpu/mappings.py index c14693a69..e09462eca 100644 --- a/megatron/mpu/mappings.py +++ b/megatron/mpu/mappings.py @@ -1,7 +1,7 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/mpu/random.py b/megatron/mpu/random.py index f93a912a8..77fe80b3e 100644 --- a/megatron/mpu/random.py +++ b/megatron/mpu/random.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/mpu/utils.py b/megatron/mpu/utils.py index cb12f2569..13941dc29 100644 --- a/megatron/mpu/utils.py +++ b/megatron/mpu/utils.py @@ -1,7 +1,7 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/neox_arguments/arguments.py b/megatron/neox_arguments/arguments.py index d293f7b6a..b2055ad02 100644 --- a/megatron/neox_arguments/arguments.py +++ b/megatron/neox_arguments/arguments.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/neox_arguments/deepspeed_args.py b/megatron/neox_arguments/deepspeed_args.py index 071c3d3b7..708a5f5b1 100644 --- a/megatron/neox_arguments/deepspeed_args.py +++ b/megatron/neox_arguments/deepspeed_args.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/neox_arguments/neox_args.py b/megatron/neox_arguments/neox_args.py index 8b76c8b32..fc9e15db4 100644 --- a/megatron/neox_arguments/neox_args.py +++ b/megatron/neox_arguments/neox_args.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/neox_arguments/template.py b/megatron/neox_arguments/template.py index d0216459f..2e8341990 100644 --- a/megatron/neox_arguments/template.py +++ b/megatron/neox_arguments/template.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/optimizers.py b/megatron/optimizers.py index fcf8a44c7..93515ed14 100644 --- a/megatron/optimizers.py +++ b/megatron/optimizers.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/text_generation_utils.py b/megatron/text_generation_utils.py index 5eb982384..7b7a390ab 100644 --- a/megatron/text_generation_utils.py +++ b/megatron/text_generation_utils.py @@ -1,7 +1,7 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/tokenizer/__init__.py b/megatron/tokenizer/__init__.py index 22b0f7b9e..b53bbb828 100644 --- a/megatron/tokenizer/__init__.py +++ b/megatron/tokenizer/__init__.py @@ -1,4 +1,4 @@ -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/tokenizer/tokenizer.py b/megatron/tokenizer/tokenizer.py index 504890763..348c7cefe 100644 --- a/megatron/tokenizer/tokenizer.py +++ b/megatron/tokenizer/tokenizer.py @@ -1,7 +1,7 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/tokenizer/train_tokenizer.py b/megatron/tokenizer/train_tokenizer.py index 72b244a9b..3027677e7 100644 --- a/megatron/tokenizer/train_tokenizer.py +++ b/megatron/tokenizer/train_tokenizer.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/training.py b/megatron/training.py index e4e858574..9b8104400 100644 --- a/megatron/training.py +++ b/megatron/training.py @@ -1,7 +1,7 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/megatron/utils.py b/megatron/utils.py index 3769495d9..8b25b5c3c 100644 --- a/megatron/utils.py +++ b/megatron/utils.py @@ -1,7 +1,7 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/prepare_data.py b/prepare_data.py index 86d8b5f5a..62363e27b 100644 --- a/prepare_data.py +++ b/prepare_data.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/tests/common.py b/tests/common.py index d2659b453..bb7a90f85 100644 --- a/tests/common.py +++ b/tests/common.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/tests/model/__init__.py b/tests/model/__init__.py index b9c364917..be6d2e9ec 100644 --- a/tests/model/__init__.py +++ b/tests/model/__init__.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/tests/model/test_fused_kernels.py b/tests/model/test_fused_kernels.py index be068099e..b8cb34d1b 100644 --- a/tests/model/test_fused_kernels.py +++ b/tests/model/test_fused_kernels.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/tests/model/test_model_checkpoint.py b/tests/model/test_model_checkpoint.py index e73e1a0fe..ec59ad816 100644 --- a/tests/model/test_model_checkpoint.py +++ b/tests/model/test_model_checkpoint.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/tests/model/test_model_generation.py b/tests/model/test_model_generation.py index ab8bd756b..4ac0bdd6b 100644 --- a/tests/model/test_model_generation.py +++ b/tests/model/test_model_generation.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/tests/model/test_model_instantiation.py b/tests/model/test_model_instantiation.py index ad57a2c5f..211db3262 100644 --- a/tests/model/test_model_instantiation.py +++ b/tests/model/test_model_instantiation.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/tests/model/test_model_train.py b/tests/model/test_model_train.py index 0138a7f79..dc24f6b6d 100644 --- a/tests/model/test_model_train.py +++ b/tests/model/test_model_train.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/tests/neox_args/test_neoxargs_commandline.py b/tests/neox_args/test_neoxargs_commandline.py index cf39f75d0..0d3c7e5fb 100644 --- a/tests/neox_args/test_neoxargs_commandline.py +++ b/tests/neox_args/test_neoxargs_commandline.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/tests/neox_args/test_neoxargs_implementation.py b/tests/neox_args/test_neoxargs_implementation.py index c77fa178f..176887c9c 100644 --- a/tests/neox_args/test_neoxargs_implementation.py +++ b/tests/neox_args/test_neoxargs_implementation.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/tests/neox_args/test_neoxargs_load.py b/tests/neox_args/test_neoxargs_load.py index 5f94f4fd6..f5d278112 100644 --- a/tests/neox_args/test_neoxargs_load.py +++ b/tests/neox_args/test_neoxargs_load.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/tests/neox_args/test_neoxargs_usage.py b/tests/neox_args/test_neoxargs_usage.py index 40532f23e..176151c2a 100644 --- a/tests/neox_args/test_neoxargs_usage.py +++ b/tests/neox_args/test_neoxargs_usage.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/tests/pytest.ini b/tests/pytest.ini index c2bb21d77..6fd100ea2 100644 --- a/tests/pytest.ini +++ b/tests/pytest.ini @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/tests/test_configs/test_train_base.yml b/tests/test_configs/test_train_base.yml index 28e41adbf..2852574af 100644 --- a/tests/test_configs/test_train_base.yml +++ b/tests/test_configs/test_train_base.yml @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/tests/unit/test_arguments.py b/tests/unit/test_arguments.py index 501748366..7144a149c 100644 --- a/tests/unit/test_arguments.py +++ b/tests/unit/test_arguments.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/tests/unit/test_launcher_scripts.py b/tests/unit/test_launcher_scripts.py index 626788b59..d281b6c04 100644 --- a/tests/unit/test_launcher_scripts.py +++ b/tests/unit/test_launcher_scripts.py @@ -1,4 +1,4 @@ -# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. import pytest from tools.datasets import preprocess_data diff --git a/tools/bash/sync.sh b/tools/bash/sync.sh index d3788cce4..fd9377dbb 100755 --- a/tools/bash/sync.sh +++ b/tools/bash/sync.sh @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/tools/bash/sync_cmd.sh b/tools/bash/sync_cmd.sh index 6525247fb..2d8a617ca 100644 --- a/tools/bash/sync_cmd.sh +++ b/tools/bash/sync_cmd.sh @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/tools/bash/syncdir.sh b/tools/bash/syncdir.sh index 210d142ae..229c9af9a 100755 --- a/tools/bash/syncdir.sh +++ b/tools/bash/syncdir.sh @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/tools/ckpts/convert_module_to_hf.py b/tools/ckpts/convert_module_to_hf.py index c776a2817..72ce59d32 100644 --- a/tools/ckpts/convert_module_to_hf.py +++ b/tools/ckpts/convert_module_to_hf.py @@ -1,4 +1,4 @@ -# Copyright (c) 2023, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/tools/ckpts/convert_raw_llama_weights_to_neox.py b/tools/ckpts/convert_raw_llama_weights_to_neox.py index 5940fa856..824cc95d9 100644 --- a/tools/ckpts/convert_raw_llama_weights_to_neox.py +++ b/tools/ckpts/convert_raw_llama_weights_to_neox.py @@ -1,4 +1,4 @@ -# Copyright (c) 2023, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/tools/ckpts/convert_sequential_to_hf.py b/tools/ckpts/convert_sequential_to_hf.py index f40a1d233..07dc228e1 100644 --- a/tools/ckpts/convert_sequential_to_hf.py +++ b/tools/ckpts/convert_sequential_to_hf.py @@ -1,4 +1,4 @@ -# Copyright (c) 2023, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/tools/ckpts/inspect_checkpoints.py b/tools/ckpts/inspect_checkpoints.py index 0bd5c05b4..a23d456ca 100644 --- a/tools/ckpts/inspect_checkpoints.py +++ b/tools/ckpts/inspect_checkpoints.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/tools/ckpts/merge20b.py b/tools/ckpts/merge20b.py index ae1f5a0a3..09029bb5b 100644 --- a/tools/ckpts/merge20b.py +++ b/tools/ckpts/merge20b.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/tools/ckpts/upload.py b/tools/ckpts/upload.py index 324a7debe..01d585be8 100644 --- a/tools/ckpts/upload.py +++ b/tools/ckpts/upload.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/tools/datasets/corpora.py b/tools/datasets/corpora.py index 7d2ec4e8c..2c440dc0a 100644 --- a/tools/datasets/corpora.py +++ b/tools/datasets/corpora.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # # Licensed under the Apache License, Version 2.0 (the "License"); diff --git a/tools/datasets/preprocess_data.py b/tools/datasets/preprocess_data.py index 74ff251e0..32e656ace 100644 --- a/tools/datasets/preprocess_data.py +++ b/tools/datasets/preprocess_data.py @@ -1,7 +1,7 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/tools/datasets/preprocess_data_with_mask.py b/tools/datasets/preprocess_data_with_mask.py index b2fba73ec..ec2fddbe4 100644 --- a/tools/datasets/preprocess_data_with_mask.py +++ b/tools/datasets/preprocess_data_with_mask.py @@ -1,7 +1,7 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. diff --git a/train.py b/train.py index 5f4ddce53..2e4b09954 100644 --- a/train.py +++ b/train.py @@ -1,7 +1,7 @@ -# Copyright (c) 2021, EleutherAI +# Copyright (c) 2024, EleutherAI # This file is based on code by the authors denoted below and has been modified from its original version. # -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. From 3d8fec028acf3c2d69b8e23254e1a4a525f73c90 Mon Sep 17 00:00:00 2001 From: yang <7129+yang@users.noreply.github.com> Date: Fri, 26 Jan 2024 15:07:48 -0800 Subject: [PATCH 41/99] fused layernorm (#1105) * Add simple util for CUDA timings * Add fused layernorm kernel from Megatron Closes #952 * change default fused layernorm to false * Update test_setup.yml * Update test_train_base.yml --------- Co-authored-by: Yang Zhang Co-authored-by: jahatef Co-authored-by: Jacob Hatef <74274091+jahatef@users.noreply.github.com> --- configs/1-3B.yml | 1 + configs/125M-json.yml | 1 + configs/125M.yml | 1 + configs/13B.yml | 1 + configs/175B.yml | 1 + configs/19M.yml | 1 + configs/2-7B.yml | 1 + configs/20B.yml | 1 + configs/350M.yml | 1 + configs/49M.yml | 1 + configs/6-7B.yml | 1 + configs/760M.yml | 1 + configs/800M.yml | 1 + configs/bf16_125M.yml | 1 + configs/bnb_125M.yml | 1 + configs/slurm_125M.yml | 1 + megatron/devutil.py | 51 +++++++++ megatron/model/fused_layer_norm.py | 150 +++++++++++++++++++++++++ megatron/model/norms.py | 3 +- megatron/neox_arguments/neox_args.py | 5 + megatron/utils.py | 59 ++++++++++ tests/config/test_setup.yml | 1 + tests/test_configs/test_train_base.yml | 1 + 23 files changed, 285 insertions(+), 1 deletion(-) create mode 100644 megatron/devutil.py create mode 100644 megatron/model/fused_layer_norm.py diff --git a/configs/1-3B.yml b/configs/1-3B.yml index 31c316e2e..ea3fdb9bf 100644 --- a/configs/1-3B.yml +++ b/configs/1-3B.yml @@ -21,6 +21,7 @@ "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, "rope_fusion": false, + "layernorm_fusion": false, # init methods "init_method": "small_init", diff --git a/configs/125M-json.yml b/configs/125M-json.yml index fff863f44..467318f24 100644 --- a/configs/125M-json.yml +++ b/configs/125M-json.yml @@ -16,6 +16,7 @@ "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, "rope_fusion": false, + "layernorm_fusion": false, "init_method": "small_init", "output_layer_init_method": "wang_init", diff --git a/configs/125M.yml b/configs/125M.yml index a098c6df6..466492f7b 100644 --- a/configs/125M.yml +++ b/configs/125M.yml @@ -21,6 +21,7 @@ "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, "rope_fusion": false, + "layernorm_fusion": false, # init methods "init_method": "small_init", diff --git a/configs/13B.yml b/configs/13B.yml index 93592896b..99caab585 100644 --- a/configs/13B.yml +++ b/configs/13B.yml @@ -21,6 +21,7 @@ "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, "rope_fusion": false, + "layernorm_fusion": false, # init methods "init_method": "small_init", diff --git a/configs/175B.yml b/configs/175B.yml index 99efdc6e0..4d011f1b4 100644 --- a/configs/175B.yml +++ b/configs/175B.yml @@ -21,6 +21,7 @@ "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, "rope_fusion": false, + "layernorm_fusion": false, # init methods "init_method": "small_init", diff --git a/configs/19M.yml b/configs/19M.yml index 148655efc..f9f856769 100644 --- a/configs/19M.yml +++ b/configs/19M.yml @@ -16,6 +16,7 @@ "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, "rope_fusion": false, + "layernorm_fusion": false, # init methods "init_method": "small_init", diff --git a/configs/2-7B.yml b/configs/2-7B.yml index ffcd3af95..9e6a47e15 100644 --- a/configs/2-7B.yml +++ b/configs/2-7B.yml @@ -21,6 +21,7 @@ "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, "rope_fusion": false, + "layernorm_fusion": false, # init methods "init_method": "small_init", diff --git a/configs/20B.yml b/configs/20B.yml index c55d342b9..0a4ce6335 100644 --- a/configs/20B.yml +++ b/configs/20B.yml @@ -31,6 +31,7 @@ "scaled_upper_triang_masked_softmax_fusion": true, "bias_gelu_fusion": true, "rope_fusion": false, + "layernorm_fusion": false, # init methods "init_method": "small_init", diff --git a/configs/350M.yml b/configs/350M.yml index 755f11c63..00a174433 100644 --- a/configs/350M.yml +++ b/configs/350M.yml @@ -21,6 +21,7 @@ "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, "rope_fusion": false, + "layernorm_fusion": false, # init methods "init_method": "small_init", diff --git a/configs/49M.yml b/configs/49M.yml index e30bc3ebb..4515914e7 100644 --- a/configs/49M.yml +++ b/configs/49M.yml @@ -19,6 +19,7 @@ "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, "rope_fusion": false, + "layernorm_fusion": false, # init methods "init_method": "small_init", diff --git a/configs/6-7B.yml b/configs/6-7B.yml index a3578a014..087b7d763 100644 --- a/configs/6-7B.yml +++ b/configs/6-7B.yml @@ -21,6 +21,7 @@ "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, "rope_fusion": false, + "layernorm_fusion": false, # init methods "init_method": "small_init", diff --git a/configs/760M.yml b/configs/760M.yml index 0eb6aea31..6d62dc0f3 100644 --- a/configs/760M.yml +++ b/configs/760M.yml @@ -21,6 +21,7 @@ "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, "rope_fusion": false, + "layernorm_fusion": false, # init methods "init_method": "small_init", diff --git a/configs/800M.yml b/configs/800M.yml index 28396d58d..f81b181a2 100644 --- a/configs/800M.yml +++ b/configs/800M.yml @@ -16,6 +16,7 @@ "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, "rope_fusion": false, + "layernorm_fusion": false, # init methods "init_method": "small_init", diff --git a/configs/bf16_125M.yml b/configs/bf16_125M.yml index eac251cae..87e86e7fb 100644 --- a/configs/bf16_125M.yml +++ b/configs/bf16_125M.yml @@ -19,6 +19,7 @@ "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, "rope_fusion": false, + "layernorm_fusion": false, # optimizer settings diff --git a/configs/bnb_125M.yml b/configs/bnb_125M.yml index 619b0084a..523b10c39 100644 --- a/configs/bnb_125M.yml +++ b/configs/bnb_125M.yml @@ -20,6 +20,7 @@ "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, "rope_fusion": false, + "layernorm_fusion": false, # optimizer settings diff --git a/configs/slurm_125M.yml b/configs/slurm_125M.yml index 798b43629..2ac60e534 100644 --- a/configs/slurm_125M.yml +++ b/configs/slurm_125M.yml @@ -12,6 +12,7 @@ "scaled_upper_triang_masked_softmax_fusion": true, "bias_gelu_fusion": true, "rope_fusion": false, + "layernorm_fusion": false, "optimizer": { "type": "Adam", "params": { diff --git a/megatron/devutil.py b/megatron/devutil.py new file mode 100644 index 000000000..7563d7dcf --- /dev/null +++ b/megatron/devutil.py @@ -0,0 +1,51 @@ +import torch.cuda + + +class Metric: + """ + Dumb utility to collect and report average wall-time metrics. + """ + + def __init__(self, label): + self.label = label + self.measurements = [] + + def collect(self, measurement): + self.measurements.append(measurement) + + def get_measurements(self): + return self.measurements[:] + + def report(self): + print( + self.label, + torch.quantile(torch.tensor(self.measurements), torch.arange(10) / 10.0), + ) + + +def monitor_method_cuda_wall_times(metric, obj, methodname): + """ + Measure timings for a method on an object or class. + + For instance: + + >>> metric = Metric('!LNORM') + >>> monitor_method_wall_times(metric, LayerNorm, 'forward') + """ + oldmeth = getattr(obj, methodname) + + start_event = torch.cuda.Event(enable_timing=True) + end_event = torch.cuda.Event(enable_timing=True) + + def newmeth(*args, **kw): + start_event.record() + try: + return oldmeth(*args, **kw) + finally: + end_event.record() + torch.cuda.synchronize() + elapsed = start_event.elapsed_time(end_event) + metric.collect(elapsed) + metric.report() + + setattr(obj, methodname, newmeth) diff --git a/megatron/model/fused_layer_norm.py b/megatron/model/fused_layer_norm.py new file mode 100644 index 000000000..d33ded506 --- /dev/null +++ b/megatron/model/fused_layer_norm.py @@ -0,0 +1,150 @@ +# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved. + +"""This code is copied from NVIDIA apex: + https://github.com/NVIDIA/apex + with some changes. """ + +import numbers +import torch +from torch.nn.parameter import Parameter +from torch.nn import init +import importlib +from torch.nn import functional as F +import inspect + +from megatron.utils import make_viewless_tensor + +try: + from apex.contrib.layer_norm.layer_norm import FastLayerNormFN + + HAVE_PERSIST_LAYER_NORM = True +except: + HAVE_PERSIST_LAYER_NORM = False + +from apex.normalization.fused_layer_norm import FusedLayerNormAffineFunction + + +global fused_layer_norm_cuda +fused_layer_norm_cuda = None + + +class MixedFusedLayerNorm(torch.nn.Module): + def __init__( + self, + normalized_shape, + eps=1e-5, + no_persist_layer_norm=True, + sequence_parallel=False, + apply_layernorm_1p=False, + mem_efficient_ln=True, + ): + super(MixedFusedLayerNorm, self).__init__() + + self.apply_layernorm_1p = apply_layernorm_1p + self.mem_efficient_ln = mem_efficient_ln + + global fused_layer_norm_cuda + fused_layer_norm_cuda = importlib.import_module("fused_layer_norm_cuda") + + # List of hiddens sizes supported in the persistent layer norm kernel + # If the hidden size is not supported, fall back to the non-persistent + # kernel. + persist_ln_hidden_sizes = [ + 1024, + 1536, + 2048, + 2304, + 3072, + 3840, + 4096, + 5120, + 6144, + 8192, + 10240, + 12288, + 12800, + 15360, + 16384, + 18432, + 20480, + 24576, + 25600, + 30720, + 32768, + 40960, + 49152, + 65536, + ] + if ( + normalized_shape not in persist_ln_hidden_sizes + or not HAVE_PERSIST_LAYER_NORM + ): + no_persist_layer_norm = True + + if isinstance(normalized_shape, numbers.Integral): + normalized_shape = (normalized_shape,) + self.normalized_shape = torch.Size(normalized_shape) + self.eps = eps + self.weight = Parameter(torch.Tensor(*normalized_shape)) + self.bias = Parameter(torch.Tensor(*normalized_shape)) + self.reset_parameters() + self.no_persist_layer_norm = no_persist_layer_norm + self.sequence_parallel = sequence_parallel + + # set sequence parallelism flag on weight and bias parameters + setattr(self.weight, "sequence_parallel", self.sequence_parallel) + setattr(self.bias, "sequence_parallel", self.sequence_parallel) + + def reset_parameters(self): + + if self.apply_layernorm_1p: + init.zeros_(self.weight) + init.zeros_(self.bias) + else: + init.ones_(self.weight) + init.zeros_(self.bias) + + def forward(self, input): + + weight = self.weight + 1 if self.apply_layernorm_1p else self.weight + # CPU path is here for unittest sake. + if not input.is_cuda: + print( + "WARNING! The input of FusedLayerNorm should be on the GPU." + "This warning should only be triggered in the FusedLayerNorm unit tests." + ) + return F.layer_norm( + input, self.normalized_shape, weight, self.bias, self.eps + ) + + if self.no_persist_layer_norm: + # Apex does not have versions yet (https://github.com/NVIDIA/apex/pull/1648), so we need to inspect + # the function manually on whether the extra arg introduced in https://github.com/NVIDIA/apex/pull/1715 exists yet + if ( + "memory_efficient" + in inspect.getfullargspec(FusedLayerNormAffineFunction.forward).args + ): + return FusedLayerNormAffineFunction.apply( + input, + weight, + self.bias, + self.normalized_shape, + self.eps, + self.mem_efficient_ln, + ) + else: + return FusedLayerNormAffineFunction.apply( + input, weight, self.bias, self.normalized_shape, self.eps + ) + else: + output = FastLayerNormFN.apply(input, weight, self.bias, self.eps) + + # Apex's fast layer norm function outputs a 'view' tensor (i.e., has + # a populated '_base' field). This will result in schedule.py's + # deallocate_output_tensor() throwing an error, so a viewless tensor is + # created to prevent this. + output = make_viewless_tensor( + inp=output, requires_grad=input.requires_grad, keep_graph=True + ) + + return output diff --git a/megatron/model/norms.py b/megatron/model/norms.py index 08056edc2..4d01dde5a 100644 --- a/megatron/model/norms.py +++ b/megatron/model/norms.py @@ -14,6 +14,7 @@ import torch from torch.nn import LayerNorm as LayerNorm +from .fused_layer_norm import MixedFusedLayerNorm def get_norm(neox_args): @@ -22,7 +23,7 @@ def get_norm(neox_args): eps = neox_args.rms_norm_epsilon elif neox_args.norm == "layernorm": eps = neox_args.layernorm_epsilon - norm = LayerNorm + norm = MixedFusedLayerNorm if neox_args.layernorm_fusion else LayerNorm elif neox_args.norm == "scalenorm": eps = neox_args.scalenorm_epsilon norm = ScaleNorm diff --git a/megatron/neox_arguments/neox_args.py b/megatron/neox_arguments/neox_args.py index fc9e15db4..f7b047f70 100644 --- a/megatron/neox_arguments/neox_args.py +++ b/megatron/neox_arguments/neox_args.py @@ -125,6 +125,11 @@ class NeoXArgsModel(NeoXArgsTemplate): Normalization layer to use. Choose from "layernorm", "rmsnorm", "scalenorm". """ + layernorm_fusion: bool = False + """ + Use fused layer norm kernel (if `norm` is `layernorm`). + """ + use_qk_layernorm: bool = False """ Use QK Normalization diff --git a/megatron/utils.py b/megatron/utils.py index 8b25b5c3c..777f32b7d 100644 --- a/megatron/utils.py +++ b/megatron/utils.py @@ -484,3 +484,62 @@ def __next__(self): end = time.time() self.total_time += end - start return batch + + +def _kernel_make_viewless_tensor(inp, requires_grad): + """Make a viewless tensor. + + View tensors have the undesirable side-affect of retaining a reference + to the originally-viewed tensor, even after manually setting the '.data' + field. This method creates a new tensor that links to the old tensor's + data, without linking the viewed tensor, referenced via the '._base' + field. + """ + out = torch.empty( + (1,), + dtype=inp.dtype, + device=inp.device, + requires_grad=requires_grad, + ) + out.data = inp.data + return out + + +class MakeViewlessTensor(torch.autograd.Function): + """ + Autograd function to make a viewless tensor. + + This function should be used in cases where the computation graph needs + to be propagated, but we only want a viewless tensor (e.g., + ParallelTransformer's hidden_states). Call this function by passing + 'keep_graph = True' to 'make_viewless_tensor()'. + """ + + @staticmethod + def forward(ctx, inp, requires_grad): + return _kernel_make_viewless_tensor(inp, requires_grad) + + @staticmethod + def backward(ctx, grad_output): + return grad_output, None + + +def make_viewless_tensor(inp, requires_grad, keep_graph): + """ + Entry-point for creating viewless tensors. + + This method should be used, rather than calling 'MakeViewlessTensor' + or '_kernel_make_viewless_tensor' directly. This method acts as a + switch for determining if an autograd function or a regular method + should be used to create the tensor. + """ + + # return tensor as-is, if not a 'view' + if inp._base is None: + return inp + + # create viewless tensor + if keep_graph: + return MakeViewlessTensor.apply(inp, requires_grad) + else: + return _kernel_make_viewless_tensor(inp, requires_grad) diff --git a/tests/config/test_setup.yml b/tests/config/test_setup.yml index c4de20940..dfff07e7a 100644 --- a/tests/config/test_setup.yml +++ b/tests/config/test_setup.yml @@ -28,6 +28,7 @@ "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, "rope_fusion": false, + "layernorm_fusion": false, # Optimizer "optimizer": { diff --git a/tests/test_configs/test_train_base.yml b/tests/test_configs/test_train_base.yml index 2852574af..bb66a5b97 100644 --- a/tests/test_configs/test_train_base.yml +++ b/tests/test_configs/test_train_base.yml @@ -33,6 +33,7 @@ "scaled_upper_triang_masked_softmax_fusion": false, "bias_gelu_fusion": false, "rope_fusion": false, + "layernorm_fusion": false, # optimizer settings "optimizer": { From e5602c3260a79d68798fabc0d6b7923c74d21161 Mon Sep 17 00:00:00 2001 From: Jacob Hatef <74274091+jahatef@users.noreply.github.com> Date: Sun, 28 Jan 2024 21:49:15 -0500 Subject: [PATCH 42/99] Contributing Guide (#1138) * contributing guide * Update NeoXArgs docs automatically * Update CONTRIBUTING.md * Update NeoXArgs docs automatically * Remove microsoft references and link on main readme * Update NeoXArgs docs automatically * pre-commit * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions Co-authored-by: Quentin Anthony --- .pre-commit-config.yaml | 4 +- CONTRIBUTING.md | 86 ++++++++++++++++++++++++++++ README.md | 6 ++ configs/neox_arguments.md | 10 +++- megatron/neox_arguments/arguments.py | 2 +- 5 files changed, 104 insertions(+), 4 deletions(-) create mode 100644 CONTRIBUTING.md diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index e9ca3920d..0eaf9b13c 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -16,10 +16,10 @@ repos: args: [--fix=lf] - id: requirements-txt-fixer - id: trailing-whitespace - - repo: https://gitlab.com/daverona/pre-commit-cpp + - repo: https://gitlab.com/daverona/pre-commit/cpp rev: 0.8.0 hooks: - - id: clang-format # formatter of C/C++ code based on a style guide: LLVM, Google, Chromium, Mozilla, and WebKit available + - id: clang-format # formatter of C/C++ code based on a style guide: LLVM, Google, Chromium, Mozilla, and WebKit available args: [] - repo: https://github.com/psf/black diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md new file mode 100644 index 000000000..ee633e8c5 --- /dev/null +++ b/CONTRIBUTING.md @@ -0,0 +1,86 @@ +# Contributing +GPT-NeoX welcomes your contributions! + +## Prerequisites +GPT-NeoX uses [pre-commit](https://pre-commit.com/) to ensure that formatting is +consistent across GPT-NeoX. First, ensure that `pre-commit` is installed with +`pip install pre-commit`. Next, the pre-commit hooks must be installed once +before commits can be made: +```bash +pre-commit install +``` +Please install `clang-format` from Conda: +```bash +conda install clang-format +``` + +Afterwards, our suite of formatting tests run automatically before each `git commit`. You +can also run these manually: +```bash +pre-commit run --all-files +``` +If a formatting test fails, it will fix the modified code in place and abort +the `git commit`. After looking over the changes, you can `git add ` +and then repeat the previous `git commit` command. + + +## Testing +GPT-NeoX tracks two types of tests: unit tests and more costly model convergence tests. +Unit tests are found in `tests/unit/` and the model convergence tests are found in +`tests/model/`. + +### Unit Tests +[PyTest](https://docs.pytest.org/en/latest/) is used to execute tests. PyTest can be +installed from PyPI via `pip install pytest`. Simply invoke `pytest --forked` to run the +unit tests: +```bash +pytest --forked tests/unit/ +``` +You can also provide the `-v` flag to `pytest` to see additional information about the +tests. Note that [pytest-forked](https://github.com/pytest-dev/pytest-forked) and the +`--forked` flag are required to test CUDA functionality in distributed tests. + +### Model Tests +To execute model tests, first install GPT-NeoX. Next, execute the model test driver: +```bash +cd tests/model/ +pytest run_sanity_check.py +``` +Note that the `--forked` flag is not necessary for the model tests. + +## Contributor License Agreement +This project welcomes contributions and suggestions. Most contributions require you to +agree to a Contributor License Agreement (CLA) declaring that you have the right to, and +actually do, grant us the rights to use your contribution. For details, visit +https://cla-assistant.io/EleutherAI/gpt-neox. + +When you submit a pull request, a CLA bot will automatically determine whether you need +to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply +follow the instructions provided by the bot. You will only need to do this once across +all repos using our CLA. + +## New Feature Contribution Guidelines +Unlike bug fix or improving existing feature (where users usually directly submit a PR and we review it), adding a new feature to GPT-NeoX requires several steps: (1) proposal and discussion, (2) implementation and verification, (3) release and maintenance. This general guideline applies to all new feature contributions. Core GPT-NeoX team member contributions may complete step 1 internally. + +### Step 1: Proposal and Discussion +We ask users to first post your intended feature in an issue. This issue needs to include: + +* A description of the proposed feature. +* A motivation of why it will be useful to GPT-NeoX users. +* A rough design of how you implement the feature inside GPT-NeoX. +* (Important) Results or planned experiments to demonstrate the effectiveness and correctness of the feature. + * If the feature only affects performance and does not affect training convergence, we require testing on a fraction of training to demonstrate that the training/validation loss are consistent with baseline, and that the performance is better than baseline. + * If the feature does affect training convergence, we require testing the whole training to demonstrate that the feature achieves better/on-par final model quality and training performance compared to baseline. + +Based on the issue we shall discuss the merit of the new feature and decide whether to accept or decline the proposal. Once accepted and after we confirm the design and implementation plan, we are ready for step 2. + +### Step 2: Implementation and Verification +The contributor will proceed and implement the feature, and the GPT-NeoX team will provide guidance/helps as needed. The required deliverables include: + +* A PR to [EleutherAI/GPT-NeoX](https://github.com/EleutherAI/gpt-neox) including (1) the feature implementation (2) unit tests (3) documentation (4) example usage. +* In the implementation (code, documentation, tutorial), we require the feature author to record their GitHub username as a contact method for future questions/maintenance. + +After receiving the PRs, we will review them and merge them after necessary tests/fixes. + +### Step 3: Release and Maintenance +After the PRs are merged, we will announce the feature on our website (with credit to the feature author). We ask the feature author to commit to the maintenance of the feature. diff --git a/README.md b/README.md index 7e649707a..0680bacb0 100644 --- a/README.md +++ b/README.md @@ -76,6 +76,7 @@ Prior to 3/9/2023, GPT-NeoX relied on [DeeperSpeed](https://github.com/EleutherA + [Other Modalities](#other-modalities) - [Administrative Notes](#administrative-notes) * [Citing GPT-NeoX](#citing-gpt-neox) + * [Contributing](#contributing) * [Licensing](#licensing) * [Acknowledgements](#acknowledgements) @@ -637,6 +638,11 @@ To cite the 20 billion parameter model named `GPT-NeoX-20B`, please use } ``` +## Contributing +GPT-NeoX is built by the open-source AI community, and relies on our amazing contributors! Please see our +[contributing](CONTRIBUTING.md) guide for more details on our CLA, code formatting, testing, +etc. + ## Licensing This repository hosts code that is part of EleutherAI's GPT-NeoX project. Copyright (c) 2024, EleutherAI. Licensed under the Apache License: diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index e7f6b1ef8..28b6e77db 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 765c219 + Default = cd9a8ea current git hash of repository @@ -261,6 +261,14 @@ Model Arguments +- **layernorm_fusion**: bool + + Default = False + + Use fused layer norm kernel (if `norm` is `layernorm`). + + + - **use_qk_layernorm**: bool Default = False diff --git a/megatron/neox_arguments/arguments.py b/megatron/neox_arguments/arguments.py index b2055ad02..627bf45f1 100644 --- a/megatron/neox_arguments/arguments.py +++ b/megatron/neox_arguments/arguments.py @@ -510,7 +510,7 @@ def get_deepspeed_main_args(self): args_list.extend( self.convert_key_value_to_command_line_arg("account", account) ) - + # master_address = os.environ['SLURM_JOB_NODELIST'].split('\n')[0] # args_list.extend( # self.convert_key_value_to_command_line_arg('master_addr', master_address) From 1c133bff4fa172880b50af98dce8cd5c4064a6b8 Mon Sep 17 00:00:00 2001 From: Lang Xu <59843980+R0n12@users.noreply.github.com> Date: Mon, 29 Jan 2024 20:30:11 -0500 Subject: [PATCH 43/99] moved eval import and added to docs (#1139) --- configs/neox_arguments.md | 9 +++++---- megatron/training.py | 3 ++- 2 files changed, 7 insertions(+), 5 deletions(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 28b6e77db..0731a5655 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -976,7 +976,7 @@ Text Generation arguments - **prompt_end**: str - Default = + Default = a single prompt's end. Defaults to newline @@ -1018,7 +1018,7 @@ Text Generation arguments - **eval_results_prefix**: str - Default = + Default = prefix to which to save evaluation results - final fp will be {eval_results_prefix}_eval_results_yy-mm-dd-HH-MM.json @@ -1030,6 +1030,8 @@ Text Generation arguments Tasks to evaluate on using lm_eval_harness + NOTE: Requires internet connection + ## NeoXArgsTokenizer @@ -1768,7 +1770,7 @@ Args for deepspeed config Default = None - + @@ -2068,4 +2070,3 @@ Args for deepspeed runner (deepspeed.launcher.runner). Default = None Adds a `--account` to the DeepSpeed launch command. In DeeperSpeed this is passed on to the SlurmLauncher as well. Sometimes necessary for cluster rules, or so I've heard. - diff --git a/megatron/training.py b/megatron/training.py index 9b8104400..0f9b36f0b 100644 --- a/megatron/training.py +++ b/megatron/training.py @@ -55,7 +55,6 @@ CharCounter, ) from megatron.model.gpt2_model import cross_entropy -from eval_tasks import run_eval_harness def mup_weights_reinit(neox_args, model): @@ -967,6 +966,8 @@ def evaluate( ) if neox_args.eval_tasks: + from eval_tasks import run_eval_harness + eval_results.update( run_eval_harness( model, forward_step_fn, neox_args, eval_tasks=neox_args.eval_tasks From 032ec8cc37a39333658716c42dee91d84d4ad2a6 Mon Sep 17 00:00:00 2001 From: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com> Date: Thu, 1 Feb 2024 18:27:28 -0500 Subject: [PATCH 44/99] Update lm_eval v0.4 to PyPI dependencies (#1141) * Update requirements.txt * Update requirements.txt * Update NeoXArgs docs automatically * add note to neox_args.py * pre-commit * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions Co-authored-by: Quentin Anthony --- configs/neox_arguments.md | 9 +++++---- megatron/neox_arguments/neox_args.py | 2 ++ requirements/requirements.txt | 2 +- 3 files changed, 8 insertions(+), 5 deletions(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 0731a5655..de19c74ea 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = cd9a8ea + Default = 78b8466 current git hash of repository @@ -976,7 +976,7 @@ Text Generation arguments - **prompt_end**: str - Default = + Default = a single prompt's end. Defaults to newline @@ -1018,7 +1018,7 @@ Text Generation arguments - **eval_results_prefix**: str - Default = + Default = prefix to which to save evaluation results - final fp will be {eval_results_prefix}_eval_results_yy-mm-dd-HH-MM.json @@ -1770,7 +1770,7 @@ Args for deepspeed config Default = None - + @@ -2070,3 +2070,4 @@ Args for deepspeed runner (deepspeed.launcher.runner). Default = None Adds a `--account` to the DeepSpeed launch command. In DeeperSpeed this is passed on to the SlurmLauncher as well. Sometimes necessary for cluster rules, or so I've heard. + diff --git a/megatron/neox_arguments/neox_args.py b/megatron/neox_arguments/neox_args.py index f7b047f70..1f8ef55fc 100644 --- a/megatron/neox_arguments/neox_args.py +++ b/megatron/neox_arguments/neox_args.py @@ -1158,4 +1158,6 @@ class NeoXArgsTextgen(NeoXArgsTemplate): eval_tasks: list = None """ Tasks to evaluate on using lm_eval_harness + + NOTE: Requires internet connection """ diff --git a/requirements/requirements.txt b/requirements/requirements.txt index 4c9a3ca64..6247ece3d 100644 --- a/requirements/requirements.txt +++ b/requirements/requirements.txt @@ -4,7 +4,7 @@ ftfy>=6.0.1 git+https://github.com/EleutherAI/lm_dataformat.git@4eec05349977071bf67fc072290b95e31c8dd836 huggingface_hub>=0.11.0 jinja2==3.1.3 -git+https://github.com/EleutherAI/lm-evaluation-harness.git@main#egg=lm_eval +lm_eval>=0.4.0,<=0.4.1 mpi4py>=3.0.3 numpy>=1.22.0 pybind11>=2.6.2 From 91c44bc301996b926ecc295207b4e05bfa0a9a9d Mon Sep 17 00:00:00 2001 From: segyges <65882655+segyges@users.noreply.github.com> Date: Mon, 5 Feb 2024 15:35:34 -0600 Subject: [PATCH 45/99] Remove gas (beano) (#1144) * Remove 'gas' configuration variable * Remove gas from configs and config documentation * Update training.py --- configs/19M.yml | 2 +- configs/49M.yml | 2 +- configs/800M.yml | 2 +- configs/neox_arguments.md | 15 +++------------ megatron/neox_arguments/arguments.py | 1 - megatron/neox_arguments/neox_args.py | 3 --- megatron/training.py | 2 +- tests/config/test_setup.yml | 2 +- 8 files changed, 8 insertions(+), 21 deletions(-) diff --git a/configs/19M.yml b/configs/19M.yml index f9f856769..c14ebe8ea 100644 --- a/configs/19M.yml +++ b/configs/19M.yml @@ -44,7 +44,7 @@ }, "train_micro_batch_size_per_gpu": 4, #32, - "gas": 1, + "gradient_accumulation_steps": 1, "data_impl": "mmap", "num_workers": 1, diff --git a/configs/49M.yml b/configs/49M.yml index 4515914e7..099af6a48 100644 --- a/configs/49M.yml +++ b/configs/49M.yml @@ -49,7 +49,7 @@ # batch / data settings "train_micro_batch_size_per_gpu": 32, - "gas": 1, + "gradient_accumulation_steps": 1, "data_impl": "mmap", "num_workers": 1, diff --git a/configs/800M.yml b/configs/800M.yml index f81b181a2..4fb9559a8 100644 --- a/configs/800M.yml +++ b/configs/800M.yml @@ -44,7 +44,7 @@ }, "train_micro_batch_size_per_gpu": 16, - "gas": 1, + "gradient_accumulation_steps": 1, "data_impl": "mmap", "num_workers": 1, diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index de19c74ea..9bb83cbf9 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -976,7 +976,7 @@ Text Generation arguments - **prompt_end**: str - Default = + Default = a single prompt's end. Defaults to newline @@ -1018,7 +1018,7 @@ Text Generation arguments - **eval_results_prefix**: str - Default = + Default = prefix to which to save evaluation results - final fp will be {eval_results_prefix}_eval_results_yy-mm-dd-HH-MM.json @@ -1478,14 +1478,6 @@ Training Arguments -- **gas**: int - - Default = None - - gradient_accumulation_steps - - - - **clip_grad**: float Default = 1.0 @@ -1770,7 +1762,7 @@ Args for deepspeed config Default = None - + @@ -2070,4 +2062,3 @@ Args for deepspeed runner (deepspeed.launcher.runner). Default = None Adds a `--account` to the DeepSpeed launch command. In DeeperSpeed this is passed on to the SlurmLauncher as well. Sometimes necessary for cluster rules, or so I've heard. - diff --git a/megatron/neox_arguments/arguments.py b/megatron/neox_arguments/arguments.py index 627bf45f1..2745287ed 100644 --- a/megatron/neox_arguments/arguments.py +++ b/megatron/neox_arguments/arguments.py @@ -896,7 +896,6 @@ def calculate_derived(self): "gradient_accumulation_steps": gradient_accumulation_steps, "batch_size": train_micro_batch_size_per_gpu, # duplicate items - "gas": self.gradient_accumulation_steps, "clip_grad": self.gradient_clipping, } ) diff --git a/megatron/neox_arguments/neox_args.py b/megatron/neox_arguments/neox_args.py index 1f8ef55fc..db1ffcc1f 100644 --- a/megatron/neox_arguments/neox_args.py +++ b/megatron/neox_arguments/neox_args.py @@ -996,9 +996,6 @@ class NeoXArgsTraining(NeoXArgsTemplate): Partition Activations across GPUs before checkpointing. """ - gas: int = None - """gradient_accumulation_steps""" # TODO this is a duplicate, remove? - clip_grad: float = 1.0 """ Gradient clipping based on global L2 norm. diff --git a/megatron/training.py b/megatron/training.py index 0f9b36f0b..5df179821 100644 --- a/megatron/training.py +++ b/megatron/training.py @@ -927,7 +927,7 @@ def evaluate( # although we're not accumulating gradients here, we count one iter as train_batch_size_per_gpu * g.a.s # to be consistent with deepspeed's pipe parallel engine - # since pipe parallel already takes gas into account - default to 1 here if pipe parallel is true + # since pipe parallel already takes gradient_accumulation_steps into account - default to 1 here if pipe parallel is true for _ in range( 1 if neox_args.is_pipe_parallel diff --git a/tests/config/test_setup.yml b/tests/config/test_setup.yml index dfff07e7a..882bf7e63 100644 --- a/tests/config/test_setup.yml +++ b/tests/config/test_setup.yml @@ -44,7 +44,7 @@ "output_layer_init_method": "wang_init", "train_micro_batch_size_per_gpu": 4, - "gas": 1, + "gradient_accumulation_steps": 1, "data_impl": "mmap", "num_workers": 1, From f7373f806689cb270677dd48bffddf4a32bfadce Mon Sep 17 00:00:00 2001 From: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com> Date: Wed, 7 Feb 2024 19:25:30 -0500 Subject: [PATCH 46/99] Improve Conversion Utilities (#1124) * draft: unify sequential + PPModule conversion scripts * Update NeoXArgs docs automatically * draft: pull out model param names / model definition * Update NeoXArgs docs automatically * tested: neox models with TP = 1, PipelineModule, work * Update NeoXArgs docs automatically * draft: Llama + GQA QKV resharding * Update NeoXArgs docs automatically * update Llama conversion script to support Mistral and GQA * Update NeoXArgs docs automatically * test Mistral-7B conversion * Update NeoXArgs docs automatically * Update NeoXArgs docs automatically * push documentation on imports / Llama loading * push further readme updates (Mistral included) * Preventconversions for unsupported featurees, disclaim in README * Update NeoXArgs docs automatically * revert PR#1072 RowParallel bias conversion error * remove sequential_to_hf and module_to_hf scripts, deprecated in favor of convert_neox_to_hf.py * Update NeoXArgs docs automatically * pre-commit * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions Co-authored-by: Quentin Anthony --- README.md | 40 +- configs/neox_arguments.md | 9 +- tools/ckpts/convert_module_to_hf.py | 344 -------- tools/ckpts/convert_neox_to_hf.py | 739 ++++++++++++++++++ .../convert_raw_llama_weights_to_neox.py | 108 ++- tools/ckpts/convert_sequential_to_hf.py | 383 --------- 6 files changed, 858 insertions(+), 765 deletions(-) delete mode 100644 tools/ckpts/convert_module_to_hf.py create mode 100644 tools/ckpts/convert_neox_to_hf.py delete mode 100644 tools/ckpts/convert_sequential_to_hf.py diff --git a/README.md b/README.md index 0680bacb0..2a06ac9bf 100644 --- a/README.md +++ b/README.md @@ -501,18 +501,20 @@ where `--eval_tasks` is a list of evaluation tasks followed by spaces, e.g `--ev # Exporting to Hugging Face -GPT-NeoX is optimized heavily for training only, and GPT-NeoX model checkpoints are not compatible out of the box with other deep learning libraries. To make models easily loadable and shareable with end users, and for further exporting to various other frameworks, GPT-NeoX supports checkpoint conversion to the [Hugging Face Transformers](https://arxiv.org/abs/1910.03771) GPTNeoXModel format. +GPT-NeoX is optimized heavily for training only, and GPT-NeoX model checkpoints are not compatible out of the box with other deep learning libraries. To make models easily loadable and shareable with end users, and for further exporting to various other frameworks, GPT-NeoX supports checkpoint conversion to the [Hugging Face Transformers](https://arxiv.org/abs/1910.03771) format. -To convert a NeoX checkpoint (with pipeline-parallel-size>=1) to Hugging Face-loadable format, run: -```bash -python ./tools/ckpts/convert_module_to_hf.py --input_dir /path/to/model/global_stepXXX --config_file your_config.yml --output_dir hf_model/save/location -``` +Though NeoX supports a number of different architectural configurations, including AliBi positional embeddings, not all of these configurations map cleanly onto the supported configurations within Hugging Face Transformers. + +NeoX supports export of compatible models into the following architectures: +- GPTNeoXForCausalLM +- LlamaForCausalLM (GQA Support Coming Soon -- all Llama 1 models and Llama 2 / Codellama up to size 13B supported) + +Training a model which does not fit into one of these Hugging Face Transformers architectures cleanly will require writing custom modeling code for the exported model. -To convert a sequential model to Hugging Face format, run: +To convert a GPT-NeoX library checkpoint to Hugging Face-loadable format, run: ```bash -python ./tools/ckpts/convert_sequential_to_hf.py --input_dir /path/to/model/global_stepXXX --config_file your_config.yml --output_dir hf_model/save/location +python ./tools/ckpts/convert_neox_to_hf.py --input_dir /path/to/model/global_stepXXX --config_file your_config.yml --output_dir hf_model/save/location --precision {auto,fp16,bf16,fp32} --architecture {neox,llama} ``` -(Note: this script should be used for v2.0 checkpoints saved on a v2.0 commit prior to https://github.com/EleutherAI/gpt-neox/pull/866 and which used `pipe-parallel-size=1`. Using `pipe-parallel-size=0` will also save models in this format.) Then to upload a model to [the Hugging Face Hub](https://huggingface.co/), run: ```bash @@ -521,7 +523,27 @@ python ./tools/ckpts/upload.py ``` and input the requested information, including HF hub user token. -Note, however, that this compatibility is not one-to-one, and only certain configurations from GPT-NeoX are supported in the Hugging Face GPTNeoXModel class. Advanced features such as alternative positional embeddings may require new Transformers modeling code and new conversion script tweaks. +### Importing Models Into GPT-NeoX + +NeoX supplies several utilities for converting a pretrained model checkpoint into a format that can be trained within the library. + +The following models can be loaded in GPT-NeoX: +- Llama 1 +- Llama 2 (Up to size 13B) +- CodeLlama (Up to size 13B) +- Mistral-7b-v0.1 (Coming Soon!) + +We provide two utilities for converting from two different checkpoint formats into a format compatible with GPT-NeoX. + +To convert a Llama 1 or Llama 2 checkpoint distributed by Meta AI from its original file format (downloadable [here](https://github.com/facebookresearch/llama) or [here](https://huggingface.co/meta-llama/Llama-2-7b)) into the GPT-NeoX library, run + +``` +python tools/ckpts/convert_raw_llama_weights_to_neox.py --input_dir /path/to/model/parent/dir/7B --model_size 7B --output_dir /path/to/save/ckpt --num_output_shards (--pipeline_parallel if pipeline-parallel-size >= 1) +``` + + +To convert from a Hugging Face model into a NeoX-loadable, run `tools/ckpts/convert_hf_to_sequential.py`. See documentation within that file for further options. + # Monitoring diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 9bb83cbf9..7df94988d 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 78b8466 + Default = 6a8a829 current git hash of repository @@ -976,7 +976,7 @@ Text Generation arguments - **prompt_end**: str - Default = + Default = a single prompt's end. Defaults to newline @@ -1018,7 +1018,7 @@ Text Generation arguments - **eval_results_prefix**: str - Default = + Default = prefix to which to save evaluation results - final fp will be {eval_results_prefix}_eval_results_yy-mm-dd-HH-MM.json @@ -1762,7 +1762,7 @@ Args for deepspeed config Default = None - + @@ -2062,3 +2062,4 @@ Args for deepspeed runner (deepspeed.launcher.runner). Default = None Adds a `--account` to the DeepSpeed launch command. In DeeperSpeed this is passed on to the SlurmLauncher as well. Sometimes necessary for cluster rules, or so I've heard. + diff --git a/tools/ckpts/convert_module_to_hf.py b/tools/ckpts/convert_module_to_hf.py deleted file mode 100644 index 72ce59d32..000000000 --- a/tools/ckpts/convert_module_to_hf.py +++ /dev/null @@ -1,344 +0,0 @@ -# Copyright (c) 2024, EleutherAI -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import os -import sys - -import yaml -import argparse -from tqdm import tqdm -from typing import List - -import torch -from transformers import GPTNeoXConfig, GPTNeoXForCausalLM - - -sys.path.append( - os.path.abspath( - os.path.join(os.path.dirname(__file__), os.path.pardir, os.path.pardir) - ) -) -from megatron.tokenizer import build_tokenizer - - -""" -A script for converting saved NeoX Checkpoints to Huggingface (HF) compatible GPT-NeoX type models. - -Note that this script does not support all NeoX features. -Please investigate carefully whether your model is compatible with all architectures supported by the GPTNeoXForCausalLM class in HF. - -(e.g. position embeddings such as AliBi may not be supported by Huggingface's GPT-NeoX architecture. -""" - - -def load_partitions( - input_checkpoint_path, mp_partitions, layer_idx -) -> List[torch.Tensor]: - """Returns a list containing all weights in a given layer from a model (across MP partitions)""" - - loaded_tp_ranks = [ - torch.load( - os.path.join( - input_checkpoint_path, - f"layer_{layer_idx:02}-model_{i:02}-model_states.pt", - ), - map_location=torch.device("cuda" if torch.cuda.is_available() else "cpu"), - ) - for i in range(mp_partitions) - ] - - return loaded_tp_ranks - - -def get_key(loaded_config, key, default=None): - """ - Search for a given key in a NeoX yaml. normalizes underscores -> hyphens - """ - key = key.replace("_", "-") - try: - return loaded_config[key] - except KeyError: - key = key.replace("-", "_") - try: - return loaded_config[key] - except KeyError: - return default - - -def create_config(neox_config): - """take in a loaded yaml from NeoX and assign relevant values to HF config. - Returns: GPTNeoXConfig() object - """ - - class TokenizerArgs: - # kinda hacky. - # this is to get something with the same interface as is used in build_tokenizer() - # without diving into loading a neox_args object or using argparse etc. - def __init__(self, neox_config): - self.make_vocab_size_divisible_by = get_key( - neox_config, "make-vocab-size-divisible-by", default=128 - ) - self.model_parallel_size = get_key(neox_config, "model-parallel-size") - self.vocab_file = get_key(neox_config, "vocab-file") - self.merge_file = get_key(neox_config, "merge-file") - self.tokenizer_type = get_key(neox_config, "tokenizer-type") - - self.rank = 0 - - args = TokenizerArgs(neox_config) - tokenizer = build_tokenizer(args) - try: # GPT2TokenizerFast raises NotImplementedError - pad_token = tokenizer.pad - except: - pad_token = ( - 1 # pad defaulting to 1. follows convention from GPT-NeoX-20b tokenizer - ) - - # TODO: change the default value here based on discussion regarding `gpt_j_tied` config parameter's default - use_tied_lns = get_key(neox_config, "gpt-j-tied", False) - - if use_tied_lns: - raise NotImplementedError( - """ERROR: Huggingface Transformers does not yet support a single shared layernorm - per transformer block for GPT-NeoX models trained w/ GPT-J parallel residuals. - See https://github.com/EleutherAI/gpt-neox/pull/481 for further details.""" - ) - - # set all config values. - hf_config = GPTNeoXConfig( - vocab_size=args.padded_vocab_size, - hidden_size=get_key(neox_config, "hidden-size"), - num_hidden_layers=get_key(neox_config, "num-layers"), - num_attention_heads=get_key(neox_config, "num-attention-heads"), - intermediate_size=(get_key(neox_config, "hidden-size") * 4), - hidden_act=get_key(neox_config, "activation", default="gelu"), - rotary_pct=get_key(neox_config, "rotary-pct", default=1.0), - rotary_emb_base=get_key(neox_config, "rotary-emb-base", default=10000), - max_position_embeddings=get_key(neox_config, "max-position-embeddings"), - initializer_range=get_key(neox_config, "init-method-std", 0.02), - layer_norm_eps=get_key(neox_config, "layernorm-epsilon", 1e-5), - use_cache=True, - bos_token_id=tokenizer.eod, - eos_token_id=tokenizer.eod, - tie_word_embeddings=(not get_key(neox_config, "no-weight-tying", False)), - use_parallel_residual=get_key(neox_config, "gpt-j-residual", False), - ) - return hf_config - - -def convert(input_checkpoint_path, loaded_config, output_checkpoint_path): - """convert a NeoX checkpoint to a HF model format. - should perform model-parallel merging correctly - but only supports features allowed by HF GPT-NeoX implementation (e.g. rotary embeddings) - """ - - hf_config = GPTNeoXConfig() - - hf_config = create_config(loaded_config) - - hf_model = GPTNeoXForCausalLM(hf_config) - - # save model in fp16/bf16 if Deepspeed fp16 or bf16 mixed precision was used in config, else 32 bit weights - fp16 = get_key(loaded_config, "fp16") - if fp16: - try: - # this conditional is quite messy because there were a number of ways to specify bf16 or fp16 training - # in DeeperSpeed v1.0 . - if (fp16.get("fp16", None) or fp16["enabled"]) and not ( - fp16.get("type", None) == "bfloat16" - ): - hf_model.half() - print("Saving weights in fp16 precision...") - elif fp16.get("type", None) == "bfloat16": - hf_model.to(dtype=torch.bfloat16) - print("Saving weights in bf16 precision...") - except: - print( - "Model not trained in fp16 / bf16 mixed precision, saving weights in fp32..." - ) - - mp_partitions = get_key(loaded_config, "model-parallel-size") - - ### Embedding layer ### - loaded_tp_ranks = load_partitions(input_checkpoint_path, mp_partitions, 0) - hf_model.gpt_neox.embed_in.load_state_dict( - { - "weight": torch.cat( - [t["word_embeddings.weight"] for t in loaded_tp_ranks], dim=0 - ) - } - ) - - assert ( - hf_config.vocab_size == hf_model.gpt_neox.embed_in.weight.shape[0] - ), f"ERROR: calculated vocab size {hf_config.vocab_size} != embed param size {hf_model.gpt_neox.embed_in.shape[0]}" - ### End Embedding Layer ### - - for layer_i in tqdm(range(get_key(loaded_config, "num-layers"))): - - # get layer from hf model - hf_layer = hf_model.gpt_neox.layers[layer_i] - - # + 2 bc of embed layer and a dummy _pre_transformer_block - loaded_tp_ranks = load_partitions( - input_checkpoint_path, mp_partitions, layer_i + 2 - ) - - state_dict = {} - for key in [ - "attention.dense.weight", - "mlp.dense_4h_to_h.weight", - ]: - state_dict[key] = torch.cat([t[key] for t in loaded_tp_ranks], dim=1) - - # average layernorm stats over mp ranks - for key in [ - "input_layernorm.weight", - "input_layernorm.bias", - "post_attention_layernorm.weight", - "post_attention_layernorm.bias", - ]: - state_dict[key] = (sum([t[key] for t in loaded_tp_ranks])) / len( - loaded_tp_ranks - ) - - # LinearWithTPMerge - for key in [ - "mlp.dense_h_to_4h.weight", - "mlp.dense_h_to_4h.bias", - "attention.query_key_value.weight", - "attention.query_key_value.bias", - ]: - state_dict[key] = torch.cat([t[key] for t in loaded_tp_ranks], dim=0) - - # LinearWithTPSplitBias - for key in [ - "mlp.dense_4h_to_h.bias", - "attention.dense.bias", - ]: - state_dict[key] = sum([t[key] for t in loaded_tp_ranks]) / len( - loaded_tp_ranks - ) - - # Just take one - state_dict["attention.rotary_emb.inv_freq"] = loaded_tp_ranks[0][ - "attention.rotary_emb.inv_freq" - ] - if "attention.bias" in hf_layer.state_dict(): - state_dict["attention.bias"] = hf_layer.state_dict()["attention.bias"] - if "attention.masked_bias" in hf_layer.state_dict(): - state_dict["attention.masked_bias"] = hf_layer.state_dict()[ - "attention.masked_bias" - ] - - # load state_dict into layer - hf_layer.load_state_dict(state_dict) - - # Load final layer norm - loaded_tp_ranks = load_partitions( - input_checkpoint_path, mp_partitions, get_key(loaded_config, "num-layers") + 3 - ) - - hf_model.gpt_neox.final_layer_norm.load_state_dict( - { - "weight": (sum([t["norm.weight"] for t in loaded_tp_ranks])) - / len(loaded_tp_ranks), - "bias": (sum([t["norm.bias"] for t in loaded_tp_ranks])) - / len(loaded_tp_ranks), - } - ) - del loaded_tp_ranks - - # Load output embedding - loaded_tp_ranks = load_partitions( - input_checkpoint_path, mp_partitions, get_key(loaded_config, "num-layers") + 4 - ) - - hf_model.embed_out.load_state_dict( - { - "weight": torch.cat( - [t["final_linear.weight"] for t in loaded_tp_ranks], dim=0 - ), - } - ) - - del loaded_tp_ranks - - return hf_model - - -if __name__ == "__main__": - - # before running script: - # `pip install --upgrade transformers` - # `huggingface-cli login` - # - from huggingface_hub import create_repo, HfApi - - parser = argparse.ArgumentParser( - description="Merge MP partitions and convert to HF Model." - ) - parser.add_argument( - "--input_dir", - type=str, - help="Path to NeoX checkpoint, e.g. /path/to/model/global_step143000", - ) - parser.add_argument( - "--config_file", - type=str, - help="Path to config file for the input NeoX checkpoint.", - ) - parser.add_argument( - "--output_dir", - type=str, - help="Output dir, where to save the HF Model, tokenizer, and configs", - ) - parser.add_argument( - "--upload", - action="store_true", - help="Set to true in order to upload to the HF Hub directly.", - ) - args = parser.parse_args() - - with open(args.config_file) as f: - loaded_config = yaml.full_load(f) - - hf_model = convert(args.input_dir, loaded_config, args.output_dir) - - hf_model.save_pretrained(args.output_dir) - - # save tokenizer to directory as well, for easy loading of model as a HF model - tokenizer_type = get_key(loaded_config, "tokenizer-type") - - if tokenizer_type == "HFTokenizer": - print(f"saving tokenizer from file {get_key(loaded_config, 'vocab-file')}") - from transformers import PreTrainedTokenizerFast - - tokenizer = PreTrainedTokenizerFast( - tokenizer_file=get_key(loaded_config, "vocab-file") - ) - print("loaded tokenizer: ", tokenizer) - tokenizer.save_pretrained(args.output_dir) - print("tokenizer saved!") - - if args.upload: - repo_name = input("Provide a repository name for the HF Hub: ") - create_repo(repo_name, repo_type="model", private=False, use_auth_token=True) - - api = HfApi() - api.upload_folder( - folder_path=args.output_dir, - repo_id=repo_name, - repo_type="model", - ) diff --git a/tools/ckpts/convert_neox_to_hf.py b/tools/ckpts/convert_neox_to_hf.py new file mode 100644 index 000000000..a9cd4277e --- /dev/null +++ b/tools/ckpts/convert_neox_to_hf.py @@ -0,0 +1,739 @@ +# Copyright (c) 2023, EleutherAI +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import os +import sys + +import yaml +import argparse +from tqdm import tqdm + +import torch +from transformers import ( + MistralConfig, + LlamaConfig, + GPTNeoXConfig, + AutoModelForCausalLM, + AutoConfig, +) + +from typing import List, Literal + +sys.path.append( + os.path.abspath( + os.path.join(os.path.dirname(__file__), os.path.pardir, os.path.pardir) + ) +) +from megatron.tokenizer import build_tokenizer + + +""" +A script for converting saved NeoX Checkpoints to Huggingface (HF) compatible GPT-NeoX type models. + +Note that this script does not support all NeoX features. +Please investigate carefully whether your model is compatible with all architectures supported by the GPTNeoXForCausalLM class in HF. + +(e.g. position embeddings such as AliBi may not be supported by Huggingface's GPT-NeoX architecture). +""" + + +# Model definitions: a list of keys, and where they fall in terms of handling them in the presence of TP. +# in format : {model arch: {param type: {param in neox: param in HF}}} + +MODEL_KEYS = { + "neox": { + "COLUMN_PARALLEL_LINEAR_KEYS": { + "mlp.dense_h_to_4h.weight": "mlp.dense_h_to_4h.weight", + "mlp.dense_h_to_4h.bias": "mlp.dense_h_to_4h.bias", + "attention.query_key_value.weight": "attention.query_key_value.weight", + "attention.query_key_value.bias": "attention.query_key_value.bias", # TODO: handle GQA separately? + }, + "ROW_PARALLEL_LINEAR_KEYS": { + "attention.dense.weight": "attention.dense.weight", + "mlp.dense_4h_to_h.weight": "mlp.dense_4h_to_h.weight", + }, + "ROW_PARALLEL_BIAS_KEYS": { + "mlp.dense_4h_to_h.bias": "mlp.dense_4h_to_h.bias", + "attention.dense.bias": "attention.dense.bias", + }, + "NORM_KEYS": { + "input_layernorm.weight": "input_layernorm.weight", + "input_layernorm.bias": "input_layernorm.bias", + "post_attention_layernorm.weight": "post_attention_layernorm.weight", + "post_attention_layernorm.bias": "post_attention_layernorm.bias", + }, + "FINAL_NORM_KEYS": { + "norm.weight": "weight", + "norm.bias": "bias", + }, + }, + "llama": { + "COLUMN_PARALLEL_LINEAR_KEYS": { + "mlp.w1.weight": "mlp.gate_proj.weight", + "mlp.w3.weight": "mlp.up_proj.weight", + }, + "ROW_PARALLEL_LINEAR_KEYS": { + "attention.dense.weight": "self_attn.o_proj.weight", + "mlp.w2.weight": "mlp.down_proj.weight", + }, + "ROW_PARALLEL_BIAS_KEYS": {}, # No biases in RowParallelLinear layers + "NORM_KEYS": { + "input_layernorm.scale": "input_layernorm.weight", + "post_attention_layernorm.scale": "post_attention_layernorm.weight", + }, + "FINAL_NORM_KEYS": { + "norm.scale": "weight", + }, + "GQA_QKV_KEYS": { # because Llama can have Grouped Query Attention and has separate Q, K, and V linear proj params, handle them separately. + "attention.query_key_value.weight": [ + "self_attn.q_proj.weight", + "self_attn.k_proj.weight", + "self_attn.v_proj.weight", + ], + }, + }, +} + +MODEL_KEYS["mistral"] = MODEL_KEYS["llama"] + + +def load_partitions( + input_checkpoint_path: str, mp_partitions: int, layer_idx: int, sequential: bool +) -> List[torch.Tensor]: + """Returns a list containing all states from a model (across MP partitions)""" + + if sequential: + filename_format = f"mp_rank_{{i:02}}_model_states.pt" + else: + filename_format = f"layer_{layer_idx:02}-model_{{i:02}}-model_states.pt" + + loaded_tp_ranks = [ + torch.load( + os.path.join( + input_checkpoint_path, + filename_format.format(i=i), + ), + map_location=torch.device("cuda" if torch.cuda.is_available() else "cpu"), + ) + for i in range(mp_partitions) + ] + + return loaded_tp_ranks + + +def get_state( + state_dicts: List[torch.Tensor], key: str, layer_idx: int, sequential: bool +) -> torch.Tensor: + """Helper that returns a list containing a given weight's state from each MP partition, for a given layer in the model.""" + + if sequential: + # use the correct key into the sequential dict for given weight/provided key + key = f"sequential.{layer_idx}.{key}" + + return [state_dict["module"][key] for state_dict in state_dicts] + else: + # For the PipelineModule case, we don't need any key / module prefix. just grab this weight value. + # layer_idx is also ignored because we've loaded only this layer's weights, ahead of time. + key = key + + return [state_dict[key] for state_dict in state_dicts] + + +def get_key(loaded_config, key, default=None): + """ + Search for a given key in a NeoX yaml. normalizes underscores -> hyphens + """ + key = key.replace("_", "-") + try: + return loaded_config[key] + except KeyError: + key = key.replace("-", "_") + try: + return loaded_config[key] + except KeyError: + return default + + +def create_config(neox_config, architecture="neox"): + """take in a loaded yaml from NeoX and assign relevant values to HF config. + Returns: GPTNeoXConfig() object + """ + + def gated_size(hidden_dim): + # takes in a hidden dim and calculates intermediate dim of a LLaMAParallelMLP. + # (only used if intermediate_size not specified in config) + # hidden-size * 8 / 3 , rounded up to nearest multiple of 256 + ff_dim = int(2 * hidden_dim * 4 / 3) + ff_dim = 256 * ((ff_dim + 256 - 1) // 256) + return ff_dim + + class TokenizerArgs: + # kinda hacky. + # this is to get something with the same interface as is used in build_tokenizer() + # without diving into loading a neox_args object or using argparse etc. + def __init__(self, neox_config): + self.make_vocab_size_divisible_by = get_key( + neox_config, "make-vocab-size-divisible-by", default=128 + ) + self.model_parallel_size = get_key(neox_config, "model-parallel-size") + self.vocab_file = get_key(neox_config, "vocab-file") + self.merge_file = get_key(neox_config, "merge-file") + self.tokenizer_type = get_key(neox_config, "tokenizer-type") + + self.rank = 0 + + args = TokenizerArgs(neox_config) + tokenizer = build_tokenizer(args) + try: # GPT2TokenizerFast raises NotImplementedError + pad_token = tokenizer.pad + except: + pad_token = ( + 1 # pad defaulting to 1. follows convention from GPT-NeoX-20b tokenizer + ) + + # TODO: change the default value here based on discussion regarding `gpt_j_tied` config parameter's default + use_tied_lns = get_key(neox_config, "gpt-j-tied", False) + + if use_tied_lns: + raise NotImplementedError( + """ERROR: Huggingface Transformers does not yet support a single shared layernorm + per transformer block for GPT-NeoX models trained w/ GPT-J parallel residuals. + See https://github.com/EleutherAI/gpt-neox/pull/481 for further details.""" + ) + + # set all config values. + + # shared config parameters. + args = { + "vocab_size": args.padded_vocab_size, + "hidden_size": get_key(neox_config, "hidden-size"), + "num_hidden_layers": get_key(neox_config, "num-layers"), + "num_attention_heads": get_key(neox_config, "num-attention-heads"), + "max_position_embeddings": get_key(neox_config, "max-position-embeddings"), + "initializer_range": get_key(neox_config, "init-method-std", 0.02), + "tie_word_embeddings": (not get_key(neox_config, "no-weight-tying", False)), + "use_cache": True, + } + if architecture == "mistral" or architecture == "llama": + args.update( + { + "intermediate_size": get_key( + neox_config, + "intermediate-size", + gated_size(get_key(neox_config, "hidden-size")), + ), + "num_key_value_heads": get_key( + neox_config, + "num-kv-heads", + get_key(neox_config, "num-attention-heads"), + ), + "hidden_act": get_key(neox_config, "activation", default="silu"), + "rms_norm_eps": get_key(neox_config, "rms-norm-epsilon", 1.0e-6), + "bos_token_id": tokenizer.eod, + "eos_token_id": tokenizer.eod, + "rope_theta": get_key(neox_config, "rotary-emb-base", 10000.0), + } + ) + + if args["num_attention_heads"] != args["num_key_value_heads"]: + assert ( + False + ), "Got num_key_value_heads != num_attention_heads, but Grouped-Query Attention is not yet supported by NeoX." + + if architecture == "mistral": + # mistral-specific options + args.update( + { + "sliding_window": get_key( + neox_config, "sliding-window-width", 4096 + ), + } + ) + hf_config = MistralConfig(**args) + elif architecture == "llama": + # llama-specific options + args.update( + { + # NeoX library defaults to using bias in attention + "attention_bias": get_key( + neox_config, "use_bias_in_attn_linear", True + ), + } + ) + hf_config = LlamaConfig(**args) + else: + # GPT-NeoX HF model class-specific options + args.update( + { + "rotary_pct": get_key(neox_config, "rotary-pct", default=1.0), + "rotary_emb_base": get_key( + neox_config, "rotary-emb-base", default=1000.0 + ), + "use_parallel_residual": get_key(neox_config, "gpt-j-residual", False), + "layer_norm_eps": get_key(neox_config, "layernorm-epsilon", 1e-5), + } + ) + hf_config = GPTNeoXConfig(**args) + + return hf_config + + +def reshard_and_split_qkv( + param_mapping: dict, # a dictionary mapping the QKV weight keys in GPT-NeoX -> a list of keys representing the Q, K, and V weight keys the HF model will use + hf_config: AutoConfig, # a HF model config for the model + loaded_tp_ranks: List[torch.Tensor], + layer_idx: int, + sequential: bool, +): + """ + A helper function which performs reshaping and sharding to make the QKV projection from NeoX compatible with HF Llama models, + even when grouped-query attention is required. + """ + for key, hf_keys in param_mapping.items(): + assert ( + isinstance(hf_keys, list) and len(hf_keys) == 3 + ), "Must map QKV to precisely 3 resulting weight matrices." + + for key, hf_keys in param_mapping.items(): + # we first merge the QKV proj. across TP ranks + sharded_qkv = torch.stack( + get_state(loaded_tp_ranks, key, layer_idx, sequential), dim=0 + ) + # should now have shape [TP_SIZE, (hidden_size + 2 * kv_hidden_size) / TP_SIZE, hidden_size]. + + sharded_qkv = sharded_qkv.view( + len(loaded_tp_ranks), + hf_config.num_attention_heads // len(loaded_tp_ranks), + int( + hf_config.hidden_size + // hf_config.num_attention_heads + * ( + 1 + + 2 * hf_config.num_key_value_heads / hf_config.num_attention_heads + ) + ), + hf_config.hidden_size, + ) # is meant to convert to shape [TP_SIZE, NUM_QUERY_HEADS_PER_SHARD, dims_per_head * (1 + 2 * kv-to-q head ratio), hidden_size] + + q, k, v = torch.split( + sharded_qkv, + [ + hf_config.hidden_size // hf_config.num_attention_heads, + int( + (hf_config.num_key_value_heads / hf_config.num_attention_heads) + * hf_config.hidden_size + // hf_config.num_attention_heads + ), + int( + (hf_config.num_key_value_heads / hf_config.num_attention_heads) + * hf_config.hidden_size + // hf_config.num_attention_heads + ), + ], + dim=2, + ) + # splits along the (dims_per_head * (1 + 2 * kv-to-q head ratio)_ dim to get 3 tensors: + # 1 x [TP_SIZE, NUM_Q_HEADS_PER_SHARD, dims_per_head, hidden_size] and 2 x [TP_SIZE, NUM_Q_HEADS_PER_SHARD, (dims_per_head / kv-to-q head ratio), hidden_size] + # these are the Q, and K, V tensors respectively. + + # we have to do additional reshape for each individual tensor now, + # into the expected square (or smaller than square, for K/V tensors) shape + q, k, v = q.squeeze(dim=2), k.squeeze(dim=2), v.squeeze(dim=2) + q = q.view( + hf_config.num_attention_heads, + hf_config.hidden_size // hf_config.num_attention_heads, + hf_config.hidden_size, + ).reshape(hf_config.hidden_size, hf_config.hidden_size) + k = k.reshape( + hf_config.num_key_value_heads, + hf_config.hidden_size // hf_config.num_attention_heads, + hf_config.hidden_size, + ).reshape( + hf_config.hidden_size + // hf_config.num_attention_heads + * hf_config.num_key_value_heads, + hf_config.hidden_size, + ) + v = v.reshape( + hf_config.num_key_value_heads, + hf_config.hidden_size // hf_config.num_attention_heads, + hf_config.hidden_size, + ).reshape( + hf_config.hidden_size + // hf_config.num_attention_heads + * hf_config.num_key_value_heads, + hf_config.hidden_size, + ) + + # return these + state_dict = {} + for hf_key, proj in zip(hf_keys, [q, k, v]): + state_dict[hf_key] = proj.clone() + return state_dict + + +def convert( + input_checkpoint_path, + loaded_config, + output_checkpoint_path, + sequential: bool = True, + precision: Literal["auto", "fp16", "bf16", "fp32"] = "auto", + architecture: Literal["neox", "llama", "mistral"] = "neox", +): + """convert a NeoX checkpoint to a HF model format. + should perform model-parallel merging correctly + but only supports features allowed by HF GPT-NeoX implementation (e.g. rotary embeddings) + """ + + ARCH = MODEL_KEYS[architecture] + + hf_config = create_config(loaded_config, architecture=architecture) + + hf_model = AutoModelForCausalLM.from_config(hf_config) + + if architecture == "neox": + hf_transformer = hf_model.gpt_neox + else: + hf_transformer = hf_model.model + + if precision == "auto": + print("Auto-detecting precision to save model into...") + # save model in FP16 if Deepspeed fp16 was used in config, else 32 bit + fp16 = get_key(loaded_config, "fp16") + + if fp16: + try: + # current behavior is to pass "fp16": {"enabled": true}, when using upstream Deepspeed + if fp16["enabled"]: + hf_model.half() + print("Saving weights in fp16 precision...") + except: + try: + # attempt to access bf16 dict in yaml file, if fp16 not enabled + bf16 = get_key(loaded_config, "bf16") + if bf16: + hf_model.to(dtype=torch.bfloat16) + print("Saving weights in bf16 precision...") + except: + hf_model.to(dtype=torch.float) + print( + "Model not trained in fp16 / bf16 mixed precision, saving weights in fp32..." + ) + else: + name_to_dtype = { + "bf16": torch.bfloat16, + "fp16": torch.float16, + "fp32": torch.float, + } + print(f"Saving model into specified {precision} precision...") + hf_model.to(dtype=name_to_dtype[precision]) + + mp_partitions = get_key(loaded_config, "model-parallel-size") + + # Sequential saves all model states from an MP rank in one file. + # so we only load the MP ranks only once and index into them with get_state(). + # for the pipeline-parallel case (pipeline-parallel-size >= 1), + # we must load the correct layer's states at each step. + # (this does mean that less memory is required for PP conversion.) + loaded_tp_ranks = load_partitions( + input_checkpoint_path, mp_partitions, layer_idx=0, sequential=sequential + ) + + ### Embedding layer ### + # Embedding is layer idx 0 + if architecture == "neox": + embed_in = hf_transformer.embed_in + else: + embed_in = hf_transformer.embed_tokens + embed_in.load_state_dict( # TODO: embed_in is not always model's name for embedding + { + "weight": torch.cat( + get_state( + loaded_tp_ranks, + "word_embeddings.weight", + layer_idx=0, + sequential=sequential, + ), + dim=0, + ) + } + ) + assert ( + hf_config.vocab_size == embed_in.weight.shape[0] + ), f"ERROR: calculated vocab size {hf_config.vocab_size} != embed param size {embed_in.shape[0]}" + ### End Embedding Layer ### + + for layer_i in tqdm(range(get_key(loaded_config, "num-layers"))): + + # get layer from hf model + hf_layer = hf_transformer.layers[layer_i] # TODO: model module names + + if not sequential: + # in the non-sequential case, must load from each layer individually. + # use layer index + 2 bc of embed layer and a dummy _pre_transformer_block, which are "layers 0 and 1" + loaded_tp_ranks = load_partitions( + input_checkpoint_path, + mp_partitions, + layer_idx=layer_i + 2, + sequential=sequential, + ) + + # + 2 bc of embed layer and a dummy _pre_transformer_block + state_dict = {} + for key, hf_key in ARCH["ROW_PARALLEL_LINEAR_KEYS"].items(): + state_dict[hf_key] = torch.cat( + get_state( + loaded_tp_ranks, key, layer_idx=layer_i + 2, sequential=sequential + ), + dim=1, + ) + + # average layernorm stats over mp ranks + for key, hf_key in ARCH["NORM_KEYS"].items(): + state_dict[hf_key] = sum( + get_state( + loaded_tp_ranks, key, layer_idx=layer_i + 2, sequential=sequential + ) + ) / len(loaded_tp_ranks) + + # LinearWithTPMerge + for key, hf_key in ARCH["COLUMN_PARALLEL_LINEAR_KEYS"].items(): + state_dict[hf_key] = torch.cat( + get_state( + loaded_tp_ranks, key, layer_idx=layer_i + 2, sequential=sequential + ), + dim=0, + ) + + # LinearWithTPSplitBias + for key, hf_key in ARCH["ROW_PARALLEL_BIAS_KEYS"].items(): + state_dict[hf_key] = sum( + get_state( + loaded_tp_ranks, key, layer_idx=layer_i + 2, sequential=sequential + ) + ) + + # Just take one + if "attention.rotary_emb.inv_freq" in hf_layer.state_dict(): + state_dict["attention.rotary_emb.inv_freq"] = get_state( + loaded_tp_ranks, + "attention.rotary_emb.inv_freq", + layer_idx=layer_i + 2, + sequential=sequential, + )[0] + + if "attention.bias" in hf_layer.state_dict(): + state_dict["attention.bias"] = hf_layer.state_dict()["attention.bias"] + if "attention.masked_bias" in hf_layer.state_dict(): + state_dict["attention.masked_bias"] = hf_layer.state_dict()[ + "attention.masked_bias" + ] + + # some architectures, like Mistral and Llama, have the following which must be handled specially: + # - Q, K, V projections are performed separately, so we must split apart GPT-NeoX library's single QKV proj + # - Support for Grouped-Query Attention, meaning the Q and the K, V projections may not be the same size + if "GQA_QKV_KEYS" in ARCH: + state_dict.update( + reshard_and_split_qkv( + param_mapping=ARCH["GQA_QKV_KEYS"], + hf_config=hf_config, + loaded_tp_ranks=loaded_tp_ranks, + layer_idx=layer_i + 2, + sequential=sequential, + ) + ) + # load state_dict into layer + hf_layer.load_state_dict(state_dict) + + if not sequential: + loaded_tp_ranks = load_partitions( + input_checkpoint_path, + mp_partitions, + get_key(loaded_config, "num-layers") + 3, + sequential=sequential, + ) + # Load final layer norm + if architecture == "neox": + lm_head = hf_model.embed_out + else: + lm_head = hf_model.lm_head + norm_state_dict = {} + for key, hf_key in ARCH["FINAL_NORM_KEYS"].items(): + norm_state_dict[hf_key] = sum( + get_state( + loaded_tp_ranks, + key, + layer_idx=get_key(loaded_config, "num-layers") + 3, + sequential=sequential, + ) + ) / len(loaded_tp_ranks) + + if architecture == "neox": + final_layer_norm = hf_transformer.final_layer_norm + else: + final_layer_norm = hf_transformer.norm + + final_layer_norm.load_state_dict(norm_state_dict) + + # Load output embedding + if not sequential: + loaded_tp_ranks = load_partitions( + input_checkpoint_path, + mp_partitions, + get_key(loaded_config, "num-layers") + 4, + sequential=sequential, + ) + # output embedding / LM head + if architecture == "neox": # name of lm head / final linear proj varies + lm_head = hf_model.embed_out + else: + lm_head = hf_model.lm_head + lm_head.load_state_dict( + { + "weight": torch.cat( + get_state( + loaded_tp_ranks, + "final_linear.weight", + layer_idx=get_key(loaded_config, "num-layers") + 4, + sequential=sequential, + ), + dim=0, + ), + } + ) + + del loaded_tp_ranks + + return hf_model + + +def main(input_args=None, overwrite_values=None): + from huggingface_hub import create_repo, HfApi + + parser = argparse.ArgumentParser( + description="Merge MP partitions and convert to HF Model." + ) + parser.add_argument( + "--input_dir", + type=str, + help="Path to NeoX checkpoint, e.g. /path/to/model/global_step143000", + ) + parser.add_argument( + "--config_file", + type=str, + help="Path to config file for the input NeoX checkpoint.", + ) + parser.add_argument( + "--output_dir", + type=str, + help="Output dir, where to save the HF Model, tokenizer, and configs", + ) + parser.add_argument( + "--precision", + type=str, + default="auto", + help="What precision to save the model into. Defaults to auto, which auto-detects which 16-bit dtype to save into, or falls back to fp32.", + ) + parser.add_argument( + "--no_save_tokenizer", + action="store_true", + help="Whether to skip saving the tokenizer alongside a model.", + ) + parser.add_argument( + "--architecture", + type=str, + default="neox", + help="What HF model class type to export into.", + ) + args = parser.parse_args(input_args) + + # validate arguments + assert args.precision in [ + "auto", + "fp16", + "bf16", + "fp32", + ], f"expected --precision to be one of 'auto', 'fp16', 'bf16', 'fp32' but got '{args.precision}' !" + assert args.architecture in [ + "neox", + "llama", + "mistral", + ], f"expected --architecture to be one of 'neox', 'mistral', 'llama', but got '{args.architecture}' !" + + if args.architecture == "mistral": + # Mistral Support Coming Soon + assert ( + False + ), "Got num_key_value_heads != num_attention_heads, but Grouped-Query Attention is not yet supported by NeoX." + + with open(args.config_file) as f: + loaded_config = yaml.full_load(f) + if overwrite_values: + loaded_config.update(overwrite_values) + + # Determine the checkpoint format of the model. + # DeepSpeed saves models wrapped in a PipelineModule differently from those not. + # PipelineModule models are saved as per-layer state dicts per TP shard, + # while Sequential model state dicts are saved all together in one mp_rank_xx_model_states.pt + # file per tensor/model parallel shard. + pipeline_world_size = get_key(loaded_config, "pipe-parallel-size", 1) + if pipeline_world_size == 0: + sequential = True + print( + f"Detected 'pipe-parallel-size' of {pipeline_world_size}, assuming model is saved as Sequential..." + ) + else: + sequential = False + print( + f"Detected 'pipe-parallel-size' of {pipeline_world_size}, assuming model is saved as PipelineModule..." + ) + + # convert the model to HF. + hf_model = convert( + args.input_dir, + loaded_config, + args.output_dir, + sequential=sequential, + architecture=args.architecture, + ) + + # Save to disk. + hf_model.save_pretrained(args.output_dir) + + if not args.no_save_tokenizer: + # save tokenizer to directory as well, for easy loading of model as a HF model. + tokenizer_type = get_key(loaded_config, "tokenizer-type") + + if tokenizer_type == "HFTokenizer": # TODO: handle sentencepiece tokenizers? + print(f"saving tokenizer from file {get_key(loaded_config, 'vocab-file')}") + print( + "Warning: please check that your model config and tokenizer end with the correct special tokens (EOS, BOS)." + ) + from transformers import PreTrainedTokenizerFast + + tokenizer = PreTrainedTokenizerFast( + tokenizer_file=get_key(loaded_config, "vocab-file") + ) + print("loaded tokenizer: ", tokenizer) + tokenizer.save_pretrained(args.output_dir) + print("tokenizer saved!") + + +if __name__ == "__main__": + + # before running script: + # `pip install --upgrade transformers` + # `huggingface-cli login` + # + main() diff --git a/tools/ckpts/convert_raw_llama_weights_to_neox.py b/tools/ckpts/convert_raw_llama_weights_to_neox.py index 824cc95d9..6fc9f8a7e 100644 --- a/tools/ckpts/convert_raw_llama_weights_to_neox.py +++ b/tools/ckpts/convert_raw_llama_weights_to_neox.py @@ -24,13 +24,19 @@ "7B": 11008, "13B": 13824, "30B": 17920, + "34B": 22016, "65B": 22016, + "70B": 28672, + "mistral-7B-v0.1": 14336, } NUM_SHARDS = { "7B": 1, "13B": 2, "30B": 4, + "34B": 4, "65B": 8, + "70B": 8, + "mistral-7B-v0.1": 1, } @@ -66,19 +72,33 @@ def convert_model_pipeline( num_input_shards = NUM_SHARDS[model_size] num_layers = params["n_layers"] num_heads = params["n_heads"] + if "n_kv_heads" in params: + assert ( + False + ), "Found `n_kv_heads` != `n_heads` in checkpoint config. However, Grouped-Query Attention is not yet supported by NeoX" + num_kv_heads = params["n_kv_heads"] + else: + num_kv_heads = num_heads + num_kv_heads_per_input_shard = num_kv_heads // num_input_shards num_heads_per_input_shard = num_heads // num_input_shards num_heads_per_output_shard = num_heads // num_output_shards + num_kv_heads_per_output_shard = num_kv_heads // num_output_shards hidden_size = params["dim"] dims_per_head = hidden_size // num_heads # base = 10000.0 # inv_freq = 1.0 / (base ** (torch.arange(0, dims_per_head, 2).float() / dims_per_head)) def permute_rotary(w): - assert w.shape == (num_heads, dims_per_head, hidden_size) + if w.shape == (num_heads, dims_per_head, hidden_size): + N_HEADS = num_heads + elif w.shape == (num_kv_heads, dims_per_head, hidden_size): + N_HEADS = num_kv_heads + else: + assert False return ( - w.view(num_heads, dims_per_head // 2, 2, hidden_size) + w.view(N_HEADS, dims_per_head // 2, 2, hidden_size) .transpose(1, 2) - .reshape(num_heads, dims_per_head, hidden_size) + .reshape(N_HEADS, dims_per_head, hidden_size) ) pbar = tqdm.tqdm(total=num_input_shards + num_layers + 3) @@ -112,6 +132,7 @@ def permute_rotary(w): ], dim=1, ) + print(embeddings_in.shape) helper.save_shards( {"word_embeddings.weight": helper.shard(embeddings_in, dim=0)}, layer_i=0 ) @@ -143,6 +164,8 @@ def permute_rotary(w): if model_size == "7B": rope_freqs = loaded[0]["layers.0.attention.inner_attention.rope.freqs"] helper.del_loaded("layers.0.attention.inner_attention.rope.freqs") + elif "mistral" in model_size: + rope_freqs = None else: rope_freqs = loaded[0]["rope.freqs"] helper.del_loaded("rope.freqs") @@ -210,23 +233,25 @@ def permute_rotary(w): torch.cat( [ loaded[rank][f"layers.{layer_i}.attention.wk.weight"].view( - num_heads_per_input_shard, dims_per_head, hidden_size + num_kv_heads_per_input_shard, dims_per_head, hidden_size ) for rank in range(num_input_shards) ], dim=0, ) - ) + ).view(num_heads, int(dims_per_head * (num_kv_heads / num_heads)), hidden_size) + w_v = torch.cat( [ loaded[rank][f"layers.{layer_i}.attention.wv.weight"].view( - num_heads_per_input_shard, dims_per_head, hidden_size + num_kv_heads_per_input_shard, dims_per_head, hidden_size ) for rank in range(num_input_shards) ], dim=0, - ) - sharded_qkv = torch.stack( + ).view(num_heads, int(dims_per_head * (num_kv_heads / num_heads)), hidden_size) + + sharded_qkv = torch.cat( [ helper.shard( w_q, dim=0 @@ -236,9 +261,11 @@ def permute_rotary(w): ], dim=2, ) # num_output_shards, num_heads_per_output_shard, QKV=3, dims_per_head, hidden_size + sharded_qkv = sharded_qkv.view( num_output_shards, - num_heads_per_output_shard * 3 * dims_per_head, + num_heads_per_output_shard * dims_per_head + + 2 * num_kv_heads_per_output_shard * dims_per_head, hidden_size, ) helper.del_loaded(f"layers.{layer_i}.attention.wq.weight") @@ -263,7 +290,11 @@ def permute_rotary(w): # Duplicated layers "input_layernorm.scale": input_layernorm, "post_attention_layernorm.scale": post_attention_layernorm, - "attention.rotary_emb.inv_freq": rope_freqs, + **( + {"attention.rotary_emb.inv_freq": rope_freqs} + if "mistral" not in model_size + else {} + ), }, layer_i=layer_i + 2, rank=out_rank, @@ -301,19 +332,33 @@ def convert_model_sequential( num_input_shards = NUM_SHARDS[model_size] num_layers = params["n_layers"] num_heads = params["n_heads"] + if "n_kv_heads" in params: + assert ( + False + ), "Found `n_kv_heads` != `n_heads` in checkpoint config. However, Grouped-Query Attention is not yet supported by NeoX" + num_kv_heads = params["n_kv_heads"] + else: + num_kv_heads = num_heads + num_kv_heads_per_input_shard = num_kv_heads // num_input_shards num_heads_per_input_shard = num_heads // num_input_shards num_heads_per_output_shard = num_heads // num_output_shards + num_kv_heads_per_output_shard = num_kv_heads // num_output_shards hidden_size = params["dim"] dims_per_head = hidden_size // num_heads # base = 10000.0 # inv_freq = 1.0 / (base ** (torch.arange(0, dims_per_head, 2).float() / dims_per_head)) def permute_rotary(w): - assert w.shape == (num_heads, dims_per_head, hidden_size) + if w.shape == (num_heads, dims_per_head, hidden_size): + N_HEADS = num_heads + elif w.shape == (num_kv_heads, dims_per_head, hidden_size): + N_HEADS = num_kv_heads + else: + assert False return ( - w.view(num_heads, dims_per_head // 2, 2, hidden_size) + w.view(N_HEADS, dims_per_head // 2, 2, hidden_size) .transpose(1, 2) - .reshape(num_heads, dims_per_head, hidden_size) + .reshape(N_HEADS, dims_per_head, hidden_size) ) pbar = tqdm.tqdm(total=num_input_shards + num_output_shards) @@ -345,6 +390,7 @@ def permute_rotary(w): ], dim=1, ) + helper.add_sequential_shard( {"word_embeddings.weight": helper.shard(embeddings_in, dim=0)}, layer_i=0 ) @@ -370,6 +416,8 @@ def permute_rotary(w): if model_size == "7B": rope_freqs = loaded[0]["layers.0.attention.inner_attention.rope.freqs"] helper.del_loaded("layers.0.attention.inner_attention.rope.freqs") + elif "mistral" in model_size: + rope_freqs = None else: rope_freqs = loaded[0]["rope.freqs"] helper.del_loaded("rope.freqs") @@ -433,27 +481,30 @@ def permute_rotary(w): dim=0, ) ) + w_k = permute_rotary( torch.cat( [ loaded[rank][f"layers.{layer_i}.attention.wk.weight"].view( - num_heads_per_input_shard, dims_per_head, hidden_size + num_kv_heads_per_input_shard, dims_per_head, hidden_size ) for rank in range(num_input_shards) ], dim=0, ) - ) + ).view(num_heads, int(dims_per_head * (num_kv_heads / num_heads)), hidden_size) + w_v = torch.cat( [ loaded[rank][f"layers.{layer_i}.attention.wv.weight"].view( - num_heads_per_input_shard, dims_per_head, hidden_size + num_kv_heads_per_input_shard, dims_per_head, hidden_size ) for rank in range(num_input_shards) ], dim=0, - ) - sharded_qkv = torch.stack( + ).view(num_heads, int(dims_per_head * (num_kv_heads / num_heads)), hidden_size) + + sharded_qkv = torch.cat( [ helper.shard( w_q, dim=0 @@ -463,11 +514,14 @@ def permute_rotary(w): ], dim=2, ) # num_output_shards, num_heads_per_output_shard, QKV=3, dims_per_head, hidden_size + sharded_qkv = sharded_qkv.view( num_output_shards, - num_heads_per_output_shard * 3 * dims_per_head, + num_heads_per_output_shard * dims_per_head + + 2 * num_kv_heads_per_output_shard * dims_per_head, hidden_size, ) + helper.del_loaded(f"layers.{layer_i}.attention.wq.weight") helper.del_loaded(f"layers.{layer_i}.attention.wk.weight") helper.del_loaded(f"layers.{layer_i}.attention.wv.weight") @@ -490,7 +544,11 @@ def permute_rotary(w): # Duplicated layers "input_layernorm.scale": input_layernorm, "post_attention_layernorm.scale": post_attention_layernorm, - "attention.rotary_emb.inv_freq": rope_freqs, + **( + {"attention.rotary_emb.inv_freq": rope_freqs} + if "mistral" not in model_size + else {} + ), }, layer_i=layer_i + 2, rank=out_rank, @@ -548,7 +606,7 @@ def save_duplicates(self, dictionary, layer_i: int): ) def save(self, obj, layer_i, rank): - torch.save(obj, self.save_path(layer_i=layer_i + 2, rank=rank)) + torch.save(obj, self.save_path(layer_i=layer_i, rank=rank)) def shard(self, x, dim): x_shape = list(x.shape) @@ -588,19 +646,19 @@ def add_sequential(self, dictionary, layer_i, rank): def main(): parser = argparse.ArgumentParser( - description="Convert raw LLaMA checkpoints to GPT-NeoX format." + description="Convert raw LLaMA or Mistral checkpoints to GPT-NeoX format." ) parser.add_argument( "--input_dir", - help="Location of LLaMA weights, which contains tokenizer.model and model folders", + help="Location of parent directory, which contains tokenizer.model and model weights subfolders", ) parser.add_argument( "--model_size", - choices=["7B", "13B", "30B", "65B", "tokenizer_only"], + choices=["7B", "mistral-7B-v0.1", "13B", "30B", "34B", "65B", "tokenizer_only"], ) parser.add_argument( "--output_dir", - help="Location to write GPT-NeoX mode", + help="Location to write GPT-NeoX model", ) parser.add_argument( "--num_output_shards", diff --git a/tools/ckpts/convert_sequential_to_hf.py b/tools/ckpts/convert_sequential_to_hf.py deleted file mode 100644 index 07dc228e1..000000000 --- a/tools/ckpts/convert_sequential_to_hf.py +++ /dev/null @@ -1,383 +0,0 @@ -# Copyright (c) 2024, EleutherAI -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import os -import sys - -import yaml -import argparse -from tqdm import tqdm - -import torch -from transformers import GPTNeoXConfig, GPTNeoXForCausalLM - -from typing import List - -sys.path.append( - os.path.abspath( - os.path.join(os.path.dirname(__file__), os.path.pardir, os.path.pardir) - ) -) -from megatron.tokenizer import build_tokenizer - - -""" -A script for converting saved NeoX Checkpoints to Huggingface (HF) compatible GPT-NeoX type models. - -Note that this script does not support all NeoX features. -Please investigate carefully whether your model is compatible with all architectures supported by the GPTNeoXForCausalLM class in HF. - -(e.g. position embeddings such as AliBi may not be supported by Huggingface's GPT-NeoX architecture. -""" - - -def load_partitions(input_checkpoint_path, mp_partitions) -> List[torch.Tensor]: - """Returns a list containing all states from a model (across MP partitions)""" - - loaded_tp_ranks = [ - torch.load( - os.path.join( - input_checkpoint_path, - f"mp_rank_{i:02}_model_states.pt", - ), - map_location=torch.device("cuda" if torch.cuda.is_available() else "cpu"), - ) - for i in range(mp_partitions) - ] - - return loaded_tp_ranks - - -def get_state( - state_dicts: List[torch.Tensor], - key: str, - layer_idx: int, -) -> torch.Tensor: - """Accesses all MP partitions of a given layer/weight's state.""" - # main DeepSpeed saves each MP partition - key = f"sequential.{layer_idx}.{key}" - - return [state_dict["module"][key] for state_dict in state_dicts] - - -def get_key(loaded_config, key, default=None): - """ - Search for a given key in a NeoX yaml. normalizes underscores -> hyphens - """ - key = key.replace("_", "-") - try: - return loaded_config[key] - except KeyError: - key = key.replace("-", "_") - try: - return loaded_config[key] - except KeyError: - return default - - -def create_config(neox_config): - """take in a loaded yaml from NeoX and assign relevant values to HF config. - Returns: GPTNeoXConfig() object - """ - - class TokenizerArgs: - # kinda hacky. - # this is to get something with the same interface as is used in build_tokenizer() - # without diving into loading a neox_args object or using argparse etc. - def __init__(self, neox_config): - self.make_vocab_size_divisible_by = get_key( - neox_config, "make-vocab-size-divisible-by", default=128 - ) - self.model_parallel_size = get_key(neox_config, "model-parallel-size") - self.vocab_file = get_key(neox_config, "vocab-file") - self.merge_file = get_key(neox_config, "merge-file") - self.tokenizer_type = get_key(neox_config, "tokenizer-type") - - self.rank = 0 - - args = TokenizerArgs(neox_config) - tokenizer = build_tokenizer(args) - try: # GPT2TokenizerFast raises NotImplementedError - pad_token = tokenizer.pad - except: - pad_token = ( - 1 # pad defaulting to 1. follows convention from GPT-NeoX-20b tokenizer - ) - - # TODO: change the default value here based on discussion regarding `gpt_j_tied` config parameter's default - use_tied_lns = get_key(neox_config, "gpt-j-tied", False) - - if use_tied_lns: - raise NotImplementedError( - """ERROR: Huggingface Transformers does not yet support a single shared layernorm - per transformer block for GPT-NeoX models trained w/ GPT-J parallel residuals. - See https://github.com/EleutherAI/gpt-neox/pull/481 for further details.""" - ) - - # set all config values. - hf_config = GPTNeoXConfig( - vocab_size=args.padded_vocab_size, - hidden_size=get_key(neox_config, "hidden-size"), - num_hidden_layers=get_key(neox_config, "num-layers"), - num_attention_heads=get_key(neox_config, "num-attention-heads"), - intermediate_size=(get_key(neox_config, "hidden-size") * 4), - hidden_act=get_key(neox_config, "activation", default="gelu"), - rotary_pct=get_key(neox_config, "rotary-pct", default=1.0), - rotary_emb_base=get_key(neox_config, "rotary-emb-base", default=10000), - max_position_embeddings=get_key(neox_config, "max-position-embeddings"), - initializer_range=get_key(neox_config, "init-method-std", 0.02), - layer_norm_eps=get_key(neox_config, "layernorm-epsilon", 1e-5), - use_cache=True, - bos_token_id=tokenizer.eod, - eos_token_id=tokenizer.eod, - tie_word_embeddings=(not get_key(neox_config, "no-weight-tying", False)), - use_parallel_residual=get_key(neox_config, "gpt-j-residual", False), - ) - return hf_config - - -def convert(input_checkpoint_path, loaded_config, output_checkpoint_path): - """convert a NeoX checkpoint to a HF model format. - should perform model-parallel merging correctly - but only supports features allowed by HF GPT-NeoX implementation (e.g. rotary embeddings) - """ - - hf_config = create_config(loaded_config) - - hf_model = GPTNeoXForCausalLM(hf_config) - - # save model in FP16 if Deepspeed fp16 was used in config, else 32 bit - fp16 = get_key(loaded_config, "fp16") - # save model in fp16/bf16 if Deepspeed fp16 or bf16 mixed precision was used in config, else 32 bit weights - fp16 = get_key(loaded_config, "fp16") - if fp16: - try: - # current behavior is to pass "fp16": {"enabled": true}, when using upstream Deepspeed - if fp16["enabled"]: - hf_model.half() - print("Saving weights in fp16 precision...") - except: - try: - # attempt to access bf16 dict in yaml file, if fp16 not enabled - bf16 = get_key(loaded_config, "bf16") - if bf16: - hf_model.to(dtype=torch.bfloat16) - print("Saving weights in bf16 precision...") - except: - print( - "Model not trained in fp16 / bf16 mixed precision, saving weights in fp32..." - ) - - mp_partitions = get_key(loaded_config, "model-parallel-size") - - # DeepSpeed main saves all model states from an MP rank in one file. load the MP ranks only once and index into them with get_state() - loaded_tp_ranks = load_partitions(input_checkpoint_path, mp_partitions) - - ### Embedding layer ### - # Embedding is layer idx 0 - hf_model.gpt_neox.embed_in.load_state_dict( - { - "weight": torch.cat( - get_state(loaded_tp_ranks, "word_embeddings.weight", 0), dim=0 - ) - } - ) - assert ( - hf_config.vocab_size == hf_model.gpt_neox.embed_in.weight.shape[0] - ), f"ERROR: calculated vocab size {hf_config.vocab_size} != embed param size {hf_model.gpt_neox.embed_in.shape[0]}" - ### End Embedding Layer ### - - for layer_i in tqdm(range(get_key(loaded_config, "num-layers"))): - - # get layer from hf model - hf_layer = hf_model.gpt_neox.layers[layer_i] - - # + 2 bc of embed layer and a dummy _pre_transformer_block - state_dict = {} - for key in [ - "attention.dense.weight", - "mlp.dense_4h_to_h.weight", - ]: - state_dict[key] = torch.cat( - get_state(loaded_tp_ranks, key, layer_i + 2), dim=1 - ) - - # average layernorm stats over mp ranks - for key in [ - "input_layernorm.weight", - "input_layernorm.bias", - "post_attention_layernorm.weight", - "post_attention_layernorm.bias", - ]: - state_dict[key] = sum(get_state(loaded_tp_ranks, key, layer_i + 2)) / len( - loaded_tp_ranks - ) - - # LinearWithTPMerge - for key in [ - "mlp.dense_h_to_4h.weight", - "mlp.dense_h_to_4h.bias", - "attention.query_key_value.weight", - "attention.query_key_value.bias", - ]: - state_dict[key] = torch.cat( - get_state(loaded_tp_ranks, key, layer_i + 2), dim=0 - ) - - # LinearWithTPSplitBias - for key in [ - "mlp.dense_4h_to_h.bias", - "attention.dense.bias", - ]: - state_dict[key] = sum(get_state(loaded_tp_ranks, key, layer_i + 2)) / len( - loaded_tp_ranks - ) - - # Just take one - state_dict["attention.rotary_emb.inv_freq"] = get_state( - loaded_tp_ranks, "attention.rotary_emb.inv_freq", layer_i + 2 - )[0] - - if "attention.bias" in hf_layer.state_dict(): - state_dict["attention.bias"] = hf_layer.state_dict()["attention.bias"] - if "attention.masked_bias" in hf_layer.state_dict(): - state_dict["attention.masked_bias"] = hf_layer.state_dict()[ - "attention.masked_bias" - ] - - # load state_dict into layer - hf_layer.load_state_dict(state_dict) - - # Load final layer norm - hf_model.gpt_neox.final_layer_norm.load_state_dict( - { - "weight": ( - sum( - get_state( - loaded_tp_ranks, - "norm.weight", - get_key(loaded_config, "num-layers") + 3, - ) - ) - ) - / len(loaded_tp_ranks), - "bias": ( - sum( - get_state( - loaded_tp_ranks, - "norm.bias", - get_key(loaded_config, "num-layers") + 3, - ) - ) - ) - / len(loaded_tp_ranks), - } - ) - # output embedding / LM head - hf_model.embed_out.load_state_dict( - { - "weight": torch.cat( - get_state( - loaded_tp_ranks, - "final_linear.weight", - get_key(loaded_config, "num-layers") + 4, - ), - dim=0, - ), - } - ) - - del loaded_tp_ranks - - return hf_model - - -def main(input_args=None, overwrite_values=None): - from huggingface_hub import create_repo, HfApi - - parser = argparse.ArgumentParser( - description="Merge MP partitions and convert to HF Model." - ) - parser.add_argument( - "--input_dir", - type=str, - help="Path to NeoX checkpoint, e.g. /path/to/model/global_step143000", - ) - parser.add_argument( - "--config_file", - type=str, - help="Path to config file for the input NeoX checkpoint.", - ) - parser.add_argument( - "--output_dir", - type=str, - help="Output dir, where to save the HF Model, tokenizer, and configs", - ) - parser.add_argument( - "--upload", - action="store_true", - help="Set to true in order to upload to the HF Hub directly.", - ) - args = parser.parse_args(input_args) - - with open(args.config_file) as f: - loaded_config = yaml.full_load(f) - if overwrite_values: - loaded_config.update(overwrite_values) - - hf_model = convert(args.input_dir, loaded_config, args.output_dir) - - hf_model.save_pretrained(args.output_dir) - - # save tokenizer to directory as well, for easy loading of model as a HF model - tokenizer_type = get_key(loaded_config, "tokenizer-type") - - if tokenizer_type == "HFTokenizer": - print(f"saving tokenizer from file {get_key(loaded_config, 'vocab-file')}") - from transformers import PreTrainedTokenizerFast - - tokenizer = PreTrainedTokenizerFast( - tokenizer_file=get_key(loaded_config, "vocab-file") - ) - print("loaded tokenizer: ", tokenizer) - tokenizer.save_pretrained(args.output_dir) - print("tokenizer saved!") - - print( - tokenizer.decode( - hf_model.generate( - tokenizer.encode("Hello, I am testing ", return_tensors="pt") - )[0] - ) - ) - - if args.upload: - repo_name = input("Provide a repository name for the HF Hub: ") - create_repo(repo_name, repo_type="model", private=False, use_auth_token=True) - - api = HfApi() - api.upload_folder( - folder_path=args.output_dir, - repo_id=repo_name, - repo_type="model", - ) - - -if __name__ == "__main__": - - # before running script: - # `pip install --upgrade transformers` - # `huggingface-cli login` - # - main() From 412cf6ebb1619eb1cc7fee3dbfd2040b7cd97479 Mon Sep 17 00:00:00 2001 From: Jacob Hatef <74274091+jahatef@users.noreply.github.com> Date: Tue, 20 Feb 2024 20:30:43 -0500 Subject: [PATCH 47/99] Fixes distributed tests, and skips tests that are broken. (#1149) * Fixes distributed tests, and skips tests that are broken. * Update NeoXArgs docs automatically * improve pytest msgs and remove commented code * pre-commit * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions Co-authored-by: Quentin Anthony --- configs/neox_arguments.md | 2 +- tests/common.py | 434 ++++++++++++++++++------ tests/conftest.py | 91 +++++ tests/model/__init__.py | 4 - tests/model/test_model_checkpoint.py | 94 +++-- tests/model/test_model_generation.py | 76 ++--- tests/model/test_model_instantiation.py | 51 ++- tests/model/test_model_train.py | 6 +- tests/unit/test_arguments.py | 26 +- tests/unit/test_launcher_scripts.py | 12 + 10 files changed, 570 insertions(+), 226 deletions(-) create mode 100644 tests/conftest.py diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 7df94988d..022fa6218 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 6a8a829 + Default = 0eb8b39 current git hash of repository diff --git a/tests/common.py b/tests/common.py index bb7a90f85..c63ced0f7 100644 --- a/tests/common.py +++ b/tests/common.py @@ -17,15 +17,20 @@ import shutil import itertools from pathlib import Path +from abc import ABC, abstractmethod +from deepspeed.accelerator import get_accelerator import pytest +from _pytest.outcomes import Skipped +from _pytest.fixtures import FixtureLookupError, FixtureFunctionMarker import random import train import torch + import torch.distributed as dist from torch.multiprocessing import Process -import multiprocessing as mp +import torch.multiprocessing as mp from yaml import load try: @@ -41,6 +46,7 @@ # Worker timeout *after* the first worker has completed. DEEPSPEED_UNIT_WORKER_TIMEOUT = 120 +DEEPSPEED_TEST_TIMEOUT = 600 def get_xdist_worker_id(): @@ -62,6 +68,58 @@ def get_master_port(): _num_gpus = None +def set_accelerator_visible(): + cuda_visible = os.environ.get("CUDA_VISIBLE_DEVICES", None) + xdist_worker_id = get_xdist_worker_id() + if xdist_worker_id is None: + xdist_worker_id = 0 + if cuda_visible is None: + # CUDA_VISIBLE_DEVICES is not set, discover it using accelerator specific command instead + if get_accelerator().device_name() == "cuda": + if is_rocm_pytorch(): + rocm_smi = subprocess.check_output(["rocm-smi", "--showid"]) + gpu_ids = filter( + lambda s: "GPU" in s, rocm_smi.decode("utf-8").strip().split("\n") + ) + num_accelerators = len(list(gpu_ids)) + else: + nvidia_smi = subprocess.check_output(["nvidia-smi", "--list-gpus"]) + num_accelerators = len(nvidia_smi.decode("utf-8").strip().split("\n")) + elif get_accelerator().device_name() == "xpu": + clinfo = subprocess.check_output(["clinfo"]) + lines = clinfo.decode("utf-8").strip().split("\n") + num_accelerators = 0 + for line in lines: + match = re.search("Device Type.*GPU", line) + if match: + num_accelerators += 1 + elif get_accelerator().device_name() == "npu": + npu_smi = subprocess.check_output(["npu-smi", "info", "-l"]) + num_accelerators = int( + npu_smi.decode("utf-8").strip().split("\n")[0].split(":")[1].strip() + ) + else: + assert get_accelerator().device_name() == "cpu" + cpu_sockets = int( + subprocess.check_output( + 'cat /proc/cpuinfo | grep "physical id" | sort -u | wc -l', + shell=True, + ) + ) + num_accelerators = cpu_sockets + + cuda_visible = ",".join(map(str, range(num_accelerators))) + + # rotate list based on xdist worker id, example below + # wid=0 -> ['0', '1', '2', '3'] + # wid=1 -> ['1', '2', '3', '0'] + # wid=2 -> ['2', '3', '0', '1'] + # wid=3 -> ['3', '0', '1', '2'] + dev_id_list = cuda_visible.split(",") + dev_id_list = dev_id_list[xdist_worker_id:] + dev_id_list[:xdist_worker_id] + os.environ["CUDA_VISIBLE_DEVICES"] = ",".join(dev_id_list) + + def count_gpus(): global _num_gpus if _num_gpus is None: @@ -121,117 +179,298 @@ def clear_test_dirs(): shutil.rmtree(tensorboard_dir) -def distributed_test(world_size=2, backend="nccl"): - """A decorator for executing a function (e.g., a unit test) in a distributed manner. - This decorator manages the spawning and joining of processes, initialization of - torch.distributed, and catching of errors. +class DistributedExec(ABC): + """ + Base class for distributed execution of functions/methods. Contains common + methods needed for DistributedTest and DistributedFixture. + """ - This function is copied from: https://github.com/EleutherAI/DeeperSpeed/blob/24026e5bb37c528a222b8635c46256b1e1825d2e/tests/unit/common.py#L16 + world_size = 2 + backend = get_accelerator().communication_backend_name() + init_distributed = True + set_dist_env = True + requires_cuda_env = True + reuse_dist_env = False + _pool_cache = {} + exec_timeout = DEEPSPEED_TEST_TIMEOUT + + @abstractmethod + def run(self): + ... + + def __call__(self, request=None): + self._fixture_kwargs = self._get_fixture_kwargs(request, self.run) + world_size = self.world_size + if self.requires_cuda_env and not get_accelerator().is_available(): + pytest.skip("only supported in accelerator environments.") + + if isinstance(world_size, int): + world_size = [world_size] + for procs in world_size: + self._launch_procs(procs) + + def _get_fixture_kwargs(self, request, func): + if not request: + return {} + # Grab fixture / parametrize kwargs from pytest request object + fixture_kwargs = {} + params = inspect.getfullargspec(func).args + params.remove("self") + for p in params: + try: + fixture_kwargs[p] = request.getfixturevalue(p) + except FixtureLookupError: + pass # test methods can have kwargs that are not fixtures + return fixture_kwargs + + def _launch_procs(self, num_procs): + # Verify we have enough accelerator devices to run this test + if ( + get_accelerator().is_available() + and get_accelerator().device_count() < num_procs + ): + pytest.skip( + f"Skipping test because not enough GPUs are available: {num_procs} required, {get_accelerator().device_count()} available" + ) + + mp.set_start_method("spawn", force=True) + + # Create process pool or use cached one + master_port = None + if self.reuse_dist_env: + if num_procs not in self._pool_cache: + self._pool_cache[num_procs] = mp.Pool(processes=num_procs) + master_port = get_master_port() + pool = self._pool_cache[num_procs] + else: + pool = mp.Pool(processes=num_procs) + master_port = get_master_port() + + # Run the test + args = [(local_rank, num_procs, master_port) for local_rank in range(num_procs)] + skip_msgs_async = pool.starmap_async(self._dist_run, args) + + try: + skip_msgs = skip_msgs_async.get(self.exec_timeout) + except mp.TimeoutError: + # Shortcut to exit pytest in the case of a hanged test. This + # usually means an environment error and the rest of tests will + # hang (causing super long unit test runtimes) + pytest.exit("Test hanged, exiting", returncode=0) + + # Tear down distributed environment and close process pools + self._close_pool(pool, num_procs) + + # If we skipped a test, propagate that to this process + if any(skip_msgs): + assert len(set(skip_msgs)) == 1, "Multiple different skip messages received" + pytest.skip(skip_msgs[0]) + + def _dist_run(self, local_rank, num_procs, master_port): + skip_msg = "" + if not dist.is_initialized(): + """Initialize deepspeed.comm and execute the user function.""" + if self.set_dist_env: + os.environ["MASTER_ADDR"] = "127.0.0.1" + os.environ["MASTER_PORT"] = str(master_port) + os.environ["LOCAL_RANK"] = str(local_rank) + # NOTE: unit tests don't support multi-node so local_rank == global rank + os.environ["RANK"] = str(local_rank) + # In case of multiprocess launching LOCAL_SIZE should be same as WORLD_SIZE + # DeepSpeed single node launcher would also set LOCAL_SIZE accordingly + os.environ["LOCAL_SIZE"] = str(num_procs) + os.environ["WORLD_SIZE"] = str(num_procs) + + # turn off NCCL logging if set + os.environ.pop("NCCL_DEBUG", None) + + if get_accelerator().is_available(): + set_accelerator_visible() + + if get_accelerator().is_available(): + get_accelerator().set_device(local_rank) + + if self.init_distributed: + deepspeed.init_distributed(dist_backend=self.backend) + dist.barrier() + + try: + self.run(**self._fixture_kwargs) + except BaseException as e: + if isinstance(e, Skipped): + skip_msg = e.msg + else: + raise e + + return skip_msg + + def _dist_destroy(self): + if (dist is not None) and dist.is_initialized(): + dist.barrier() + dist.destroy_process_group() + + def _close_pool(self, pool, num_procs, force=False): + if force or not self.reuse_dist_env: + msg = pool.starmap(self._dist_destroy, [() for _ in range(num_procs)]) + pool.close() + pool.join() - Usage example: - @distributed_test(worker_size=[2,3]) - def my_test(): - rank = dist.get_rank() - world_size = dist.get_world_size() - assert(rank < world_size) - Arguments: - world_size (int or list): number of ranks to spawn. Can be a list to spawn - multiple tests. +class DistributedFixture(DistributedExec): + """ + Implementation that extends @pytest.fixture to allow for distributed execution. + This is primarily meant to be used when a test requires executing two pieces of + code with different world sizes. + + There are 2 parameters that can be modified: + - world_size: int = 2 -- the number of processes to launch + - backend: Literal['nccl','mpi','gloo'] = 'nccl' -- which backend to use + + Features: + - able to call pytest.skip() inside fixture + - can be reused by multiple tests + - can accept other fixtures as input + + Limitations: + - cannot use @pytest.mark.parametrize + - world_size cannot be modified after definition and only one world_size value is accepted + - any fixtures used must also be used in the test that uses this fixture (see example below) + - return values cannot be returned. Passing values to a DistributedTest + object can be achieved using class_tmpdir and writing to file (see example below) + + Usage: + - must implement a run(self, ...) method + - fixture can be used by making the class name input to a test function + + Example: + @pytest.fixture(params=[10,20]) + def regular_pytest_fixture(request): + return request.param + + class distributed_fixture_example(DistributedFixture): + world_size = 4 + + def run(self, regular_pytest_fixture, class_tmpdir): + assert int(os.environ["WORLD_SIZE"]) == self.world_size + local_rank = os.environ["LOCAL_RANK"] + print(f"Rank {local_rank} with value {regular_pytest_fixture}") + with open(os.path.join(class_tmpdir, f"{local_rank}.txt"), "w") as f: + f.write(f"{local_rank},{regular_pytest_fixture}") + + class TestExample(DistributedTest): + world_size = 1 + + def test(self, distributed_fixture_example, regular_pytest_fixture, class_tmpdir): + assert int(os.environ["WORLD_SIZE"]) == self.world_size + for rank in range(4): + with open(os.path.join(class_tmpdir, f"{rank}.txt"), "r") as f: + assert f.read() == f"{rank},{regular_pytest_fixture}" """ - def dist_wrap(run_func): - """Second-level decorator for dist_test. This actually wraps the function.""" + is_dist_fixture = True - def dist_init(local_rank, num_procs, *func_args, **func_kwargs): - """Initialize torch.distributed and execute the user function.""" - os.environ["MASTER_ADDR"] = "127.0.0.1" - os.environ["MASTER_PORT"] = get_master_port() - os.environ["LOCAL_RANK"] = str(local_rank) - # NOTE: unit tests don't support multi-node so local_rank == global rank - os.environ["RANK"] = str(local_rank) - os.environ["WORLD_SIZE"] = str(num_procs) + # These values are just placeholders so that pytest recognizes this as a fixture + _pytestfixturefunction = FixtureFunctionMarker(scope="function", params=None) + __name__ = "" - # turn off NCCL logging if set - os.environ.pop("NCCL_DEBUG", None) + def __init__(self): + assert isinstance( + self.world_size, int + ), "Only one world size is allowed for distributed fixtures" + self.__name__ = type(self).__name__ + _pytestfixturefunction = FixtureFunctionMarker( + scope="function", params=None, name=self.__name__ + ) - deepspeed.init_distributed(dist_backend=backend) - if torch.cuda.is_available(): - torch.cuda.set_device(local_rank) +class DistributedTest(DistributedExec): + """ + Implementation for running pytest with distributed execution. + + There are 2 parameters that can be modified: + - world_size: Union[int,List[int]] = 2 -- the number of processes to launch + - backend: Literal['nccl','mpi','gloo'] = 'nccl' -- which backend to use + + Features: + - able to call pytest.skip() inside tests + - works with pytest fixtures, parametrize, mark, etc. + - can contain multiple tests (each of which can be parametrized separately) + - class methods can be fixtures (usable by tests in this class only) + - world_size can be changed for individual tests using @pytest.mark.world_size(world_size) + - class_tmpdir is a fixture that can be used to get a tmpdir shared among + all tests (including DistributedFixture) + + Usage: + - class name must start with "Test" + - must implement one or more test*(self, ...) methods + + Example: + @pytest.fixture(params=[10,20]) + def val1(request): + return request.param + + @pytest.mark.fast + @pytest.mark.parametrize("val2", [30,40]) + class TestExample(DistributedTest): + world_size = 2 + + @pytest.fixture(params=[50,60]) + def val3(self, request): + return request.param + + def test_1(self, val1, val2, str1="hello world"): + assert int(os.environ["WORLD_SIZE"]) == self.world_size + assert all(val1, val2, str1) + + @pytest.mark.world_size(1) + @pytest.mark.parametrize("val4", [70,80]) + def test_2(self, val1, val2, val3, val4): + assert int(os.environ["WORLD_SIZE"]) == 1 + assert all(val1, val2, val3, val4) + """ - run_func(*func_args, **func_kwargs) + def __init__(self): + self.is_dist_test = True - # make sure all ranks finish at the same time - torch.distributed.barrier() - # tear down after test completes - torch.distributed.destroy_process_group() + # Temporary directory that is shared among test methods in a class + @pytest.fixture(autouse=True, scope="class") + def class_tmpdir(self, tmpdir_factory): + fn = tmpdir_factory.mktemp(self.__class__.__name__) + return fn - def dist_launcher(num_procs, *func_args, **func_kwargs): - """Launch processes and gracefully handle failures.""" + def run(self, **fixture_kwargs): + self._current_test(**fixture_kwargs) - # Spawn all workers on subprocesses. - processes = [] - for local_rank in range(num_procs): - p = Process( - target=dist_init, - args=(local_rank, num_procs, *func_args), - kwargs=func_kwargs, - ) - p.start() - processes.append(p) - - # Now loop and wait for a test to complete. The spin-wait here isn't a big - # deal because the number of processes will be O(#GPUs) << O(#CPUs). - any_done = False - while not any_done: - for p in processes: - if not p.is_alive(): - any_done = True - break - - # Wait for all other processes to complete - for p in processes: - p.join(DEEPSPEED_UNIT_WORKER_TIMEOUT) - - failed = [(rank, p) for rank, p in enumerate(processes) if p.exitcode != 0] - for rank, p in failed: - # If it still hasn't terminated, kill it because it hung. - if p.exitcode is None: - p.terminate() - pytest.fail(f"Worker {rank} hung.", pytrace=False) - if p.exitcode < 0: - pytest.fail( - f"Worker {rank} killed by signal {-p.exitcode}", pytrace=False - ) - if p.exitcode > 0: - pytest.fail( - f"Worker {rank} exited with code {p.exitcode}", pytrace=False - ) - - def run_func_decorator(*func_args, **func_kwargs): - """Entry point for @distributed_test().""" - - gpus = count_gpus() - - if isinstance(world_size, int): - if gpus < world_size: - pytest.mark.skip( - reason=f"at least {world_size} GPUs are required to run this test" - ) - return - - dist_launcher(world_size, *func_args, **func_kwargs) - elif isinstance(world_size, list): - for procs in world_size: - dist_launcher(procs, *func_args, **func_kwargs) - time.sleep(0.5) - else: - raise TypeError(f"world_size must be an integer or a list of integers.") + def __call__(self, request): + self._current_test = self._get_current_test_func(request) + self._fixture_kwargs = self._get_fixture_kwargs(request, self._current_test) + + if self.requires_cuda_env and not get_accelerator().is_available(): + pytest.skip("only supported in accelerator environments.") + + # Catch world_size override pytest mark + for mark in getattr(request.function, "pytestmark", []): + if mark.name == "world_size": + world_size = mark.args[0] + break + else: + world_size = self.world_size + + if isinstance(world_size, int): + world_size = [world_size] + for procs in world_size: + self._launch_procs(procs) + time.sleep(0.5) + + def _get_current_test_func(self, request): + # DistributedTest subclasses may have multiple test methods + func_name = request.function.__name__ + return getattr(self, func_name) - return run_func_decorator - return dist_wrap +def get_test_path(filename): + curr_path = Path(__file__).parent + return str(curr_path.joinpath(filename)) def model_setup(yaml_list=None, param_dict=None, clear_data=True): @@ -388,3 +627,4 @@ def dict_repr(d): with open("tests/config/test_setup.yml", "r") as f: BASE_CONFIG = load(f, Loader=Loader) + print(f"Base Config:\n{BASE_CONFIG}") diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 000000000..917dd8543 --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,91 @@ +# Copyright (c) Microsoft Corporation. +# SPDX-License-Identifier: Apache-2.0 + +# DeepSpeed Team + +# tests directory-specific settings - this file is run automatically by pytest before any tests are run + +import sys +import pytest +import os +from os.path import abspath, dirname, join +import torch +import warnings + +# Set this environment variable for the T5 inference unittest(s) (e.g. google/t5-v1_1-small) +os.environ["PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION"] = "python" + +# allow having multiple repository checkouts and not needing to remember to rerun +# 'pip install -e .[dev]' when switching between checkouts and running tests. +git_repo_path = abspath(join(dirname(dirname(__file__)), "src")) +sys.path.insert(1, git_repo_path) + + +def pytest_configure(config): + # config.option.color = "yes" + # config.option.durations = 0 + # config.option.durations_min = 1 + config.option.verbose = True + + +def pytest_addoption(parser): + parser.addoption("--torch_ver", default=None, type=str) + parser.addoption("--cuda_ver", default=None, type=str) + + +def validate_version(expected, found): + version_depth = expected.count(".") + 1 + found = ".".join(found.split(".")[:version_depth]) + return found == expected + + +@pytest.fixture(scope="session", autouse=True) +def check_environment(pytestconfig): + expected_torch_version = pytestconfig.getoption("torch_ver") + expected_cuda_version = pytestconfig.getoption("cuda_ver") + if expected_torch_version is None: + warnings.warn( + "Running test without verifying torch version, please provide an expected torch version with --torch_ver" + ) + elif not validate_version(expected_torch_version, torch.__version__): + pytest.exit( + f"expected torch version {expected_torch_version} did not match found torch version {torch.__version__}", + returncode=2, + ) + if expected_cuda_version is None: + warnings.warn( + "Running test without verifying cuda version, please provide an expected cuda version with --cuda_ver" + ) + elif not validate_version(expected_cuda_version, torch.version.cuda): + pytest.exit( + f"expected cuda version {expected_cuda_version} did not match found cuda version {torch.version.cuda}", + returncode=2, + ) + + +# Override of pytest "runtest" for DistributedTest class +# This hook is run before the default pytest_runtest_call +@pytest.hookimpl(tryfirst=True) +def pytest_runtest_call(item): + # We want to use our own launching function for distributed tests + if getattr(item.cls, "is_dist_test", False): + dist_test_class = item.cls() + dist_test_class(item._request) + item.runtest = lambda: True # Dummy function so test is not run twice + + +# We allow DistributedTest to reuse distributed environments. When the last +# test for a class is run, we want to make sure those distributed environments +# are destroyed. +def pytest_runtest_teardown(item, nextitem): + if getattr(item.cls, "reuse_dist_env", False) and not nextitem: + dist_test_class = item.cls() + for num_procs, pool in dist_test_class._pool_cache.items(): + dist_test_class._close_pool(pool, num_procs, force=True) + + +@pytest.hookimpl(tryfirst=True) +def pytest_fixture_setup(fixturedef, request): + if getattr(fixturedef.func, "is_dist_fixture", False): + dist_fixture_class = fixturedef.func() + dist_fixture_class(request) diff --git a/tests/model/__init__.py b/tests/model/__init__.py index be6d2e9ec..d38c7d4d0 100644 --- a/tests/model/__init__.py +++ b/tests/model/__init__.py @@ -11,7 +11,3 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. - -from .test_model_instantiation import run_test_model_instantiation -from .test_model_train import run_train_test -from .test_model_checkpoint import run_checkpoint_test diff --git a/tests/model/test_model_checkpoint.py b/tests/model/test_model_checkpoint.py index ec59ad816..96f51683b 100644 --- a/tests/model/test_model_checkpoint.py +++ b/tests/model/test_model_checkpoint.py @@ -24,7 +24,7 @@ import pytest from tests.common import ( - distributed_test, + DistributedTest, clear_test_dirs, model_setup, binary, @@ -73,60 +73,58 @@ def test_train(param_dict): d = tempfile.mkdtemp() param_dict["save"] = d - @distributed_test(world_size=2) - def wrapper(): - run_checkpoint_test(param_dict=param_dict) + t1 = test_run_checkpoint_test_class() + t1.run_checkpoint_test(param_dict=param_dict) - wrapper() +class test_run_checkpoint_test_class(DistributedTest): + def run_checkpoint_test(yaml_list=None, param_dict=None): -def run_checkpoint_test(yaml_list=None, param_dict=None): + from megatron.checkpointing import load_checkpoint + from megatron.checkpointing import save_checkpoint - from megatron.checkpointing import load_checkpoint - from megatron.checkpointing import save_checkpoint - - model, optimizer, lr_scheduler, args_loaded = model_setup( - yaml_list, param_dict, clear_data=True - ) - - # save model checkpoint - save_checkpoint( - neox_args=args_loaded, - iteration=42, - model=model, - optimizer=optimizer, - lr_scheduler=lr_scheduler, - ) - - # reload model from checkpoint - ( - reloaded_model, - reloaded_optimizer, - reloaded_lr_scheduler, - args_reloaded, - ) = model_setup(yaml_list, param_dict, clear_data=False) - iteration = load_checkpoint( - neox_args=args_reloaded, - model=reloaded_model, - optimizer=reloaded_optimizer, - lr_scheduler=reloaded_lr_scheduler, - ) + model, optimizer, lr_scheduler, args_loaded = model_setup( + yaml_list, param_dict, clear_data=True + ) - # ensure same checkpoint is loaded - assert ( - iteration == 42 - ), "run_checkpoint_test() iteration loaded from checkpoint correct" + # save model checkpoint + save_checkpoint( + neox_args=args_loaded, + iteration=42, + model=model, + optimizer=optimizer, + lr_scheduler=lr_scheduler, + ) - # check all weight groups are the same - for idx, ((n1, p1), (n2, p2)) in enumerate( - zip( - list(model.module.named_parameters()), - list(reloaded_model.module.named_parameters()), + # reload model from checkpoint + ( + reloaded_model, + reloaded_optimizer, + reloaded_lr_scheduler, + args_reloaded, + ) = model_setup(yaml_list, param_dict, clear_data=False) + iteration = load_checkpoint( + neox_args=args_reloaded, + model=reloaded_model, + optimizer=reloaded_optimizer, + lr_scheduler=reloaded_lr_scheduler, ) - ): - assert n1 == n2 - params_equal = (p1 == p2).all().item() - assert params_equal, "run_checkpoint_test() params equal: " + str(n1) + + # ensure same checkpoint is loaded + assert ( + iteration == 42 + ), "run_checkpoint_test() iteration loaded from checkpoint correct" + + # check all weight groups are the same + for idx, ((n1, p1), (n2, p2)) in enumerate( + zip( + list(model.module.named_parameters()), + list(reloaded_model.module.named_parameters()), + ) + ): + assert n1 == n2 + params_equal = (p1 == p2).all().item() + assert params_equal, "run_checkpoint_test() params equal: " + str(n1) if __name__ == "__main__": diff --git a/tests/model/test_model_generation.py b/tests/model/test_model_generation.py index 4ac0bdd6b..6dd93f355 100644 --- a/tests/model/test_model_generation.py +++ b/tests/model/test_model_generation.py @@ -22,7 +22,7 @@ import os import pytest -from tests.common import distributed_test, model_setup, parametrize +from tests.common import DistributedTest, model_setup, parametrize PARAMS_TO_TEST = { "pipe_parallel_size,model_parallel_size,world_size": [ @@ -67,47 +67,47 @@ @pytest.mark.skip @pytest.mark.parametrize("param_dict", parameters, ids=names) def test_train(param_dict): - @distributed_test(world_size=param_dict.pop("world_size", 2)) - def wrapper(): - run_generate_test(param_dict=param_dict, prompt=param_dict.pop("prompt")) + t1 = run_generate_test_class() + t1.run_generate_test(param_dict, param_dict.pop("prompt")) - wrapper() +class run_generate_test_class(DistributedTest): + world_size = 2 -def run_generate_test(param_dict, prompt): - from megatron.text_generation_utils import generate_samples_from_prompt - from megatron.utils import is_mp_rank_0 + def run_generate_test(param_dict, prompt): + from megatron.text_generation_utils import generate_samples_from_prompt + from megatron.utils import is_mp_rank_0 - fixed_params = { - "num_samples": 3, - "maximum_tokens": 50, - "make_vocab_size_divisible_by": 2, - "sample_output_file": "test_sample_output.txt", - "checkpoint_activations": False, - "partition_activations": False, - "no_load_optim": True, - } + fixed_params = { + "num_samples": 3, + "maximum_tokens": 50, + "make_vocab_size_divisible_by": 2, + "sample_output_file": "test_sample_output.txt", + "checkpoint_activations": False, + "partition_activations": False, + "no_load_optim": True, + } - param_dict.update(fixed_params) - # TODO: we don't need to reinstantiate the model every time if we're only changing sampling settings - should be a workaround for this - model, _, _, args_loaded = model_setup(None, param_dict, clear_data=True) - model.eval() + param_dict.update(fixed_params) + # TODO: we don't need to reinstantiate the model every time if we're only changing sampling settings - should be a workaround for this + model, _, _, args_loaded = model_setup(None, param_dict, clear_data=True) + model.eval() - prompts = [prompt for _ in range(args_loaded.num_samples)] - output = generate_samples_from_prompt( - neox_args=args_loaded, - model=model, - text=prompts, - maximum_tokens=args_loaded.maximum_tokens, - recompute=False, - temperature=args_loaded.temperature, - top_k=args_loaded.top_k, - top_p=args_loaded.top_p, - ) + prompts = [prompt for _ in range(args_loaded.num_samples)] + output = generate_samples_from_prompt( + neox_args=args_loaded, + model=model, + text=prompts, + maximum_tokens=args_loaded.maximum_tokens, + recompute=False, + temperature=args_loaded.temperature, + top_k=args_loaded.top_k, + top_p=args_loaded.top_p, + ) - # outputs only get generated on mp rank 0 - if is_mp_rank_0(): - assert len(output) == len(prompts) - for prompt, out in zip(prompts, output): - assert prompt == out["context"] - assert len(out["text"]) > 0 + # outputs only get generated on mp rank 0 + if is_mp_rank_0(): + assert len(output) == len(prompts) + for prompt, out in zip(prompts, output): + assert prompt == out["context"] + assert len(out["text"]) > 0 diff --git a/tests/model/test_model_instantiation.py b/tests/model/test_model_instantiation.py index 211db3262..81c5cae4c 100644 --- a/tests/model/test_model_instantiation.py +++ b/tests/model/test_model_instantiation.py @@ -21,7 +21,7 @@ import torch import os from tests.common import ( - distributed_test, + DistributedTest, model_setup, clear_test_dirs, parametrize, @@ -80,11 +80,8 @@ ) @pytest.mark.parametrize("param_dict", parameters, ids=names) def test_instantiate(param_dict): - @distributed_test(world_size=param_dict.pop("world_size", 2)) - def wrapper(): - run_test_model_instantiation(param_dict=param_dict) - - wrapper() + t1 = test_instantiate_optimizers_class() + t1.run_test_model_instantiation(param_dict) OPTIMIZER_PARAMS = { @@ -108,24 +105,24 @@ def wrapper(): ) @pytest.mark.parametrize("param_dict", opt_params, ids=opt_name) def test_instantiate_optimizers(param_dict): - @distributed_test(world_size=2) - def wrapper(): - run_test_model_instantiation(param_dict=param_dict) - - wrapper() - - -def run_test_model_instantiation(yaml_list=None, param_dict=None): - from deepspeed.runtime.pipe.engine import PipelineEngine, DeepSpeedEngine - - model, optimizer, lr_scheduler, args_loaded = model_setup(yaml_list, param_dict) - if args_loaded.pipe_parallel_size < 2: - assert isinstance(model, DeepSpeedEngine), "test model instantiation " + str( - yaml_list - ) - else: - assert isinstance(model, PipelineEngine), "test model instantiation " + str( - yaml_list - ) - if torch.distributed.get_world_size() == 1 or torch.distributed.get_rank() == 0: - clear_test_dirs() + t1 = test_instantiate_optimizers_class() + t1.run_test_model_instantiation(param_dict) + + +class test_instantiate_optimizers_class(DistributedTest): + world_size = 2 + + def run_test_model_instantiation(yaml_list=None, param_dict=None): + from deepspeed.runtime.pipe.engine import PipelineEngine, DeepSpeedEngine + + model, optimizer, lr_scheduler, args_loaded = model_setup(yaml_list, param_dict) + if args_loaded.pipe_parallel_size < 2: + assert isinstance( + model, DeepSpeedEngine + ), "test model instantiation " + str(yaml_list) + else: + assert isinstance(model, PipelineEngine), "test model instantiation " + str( + yaml_list + ) + if torch.distributed.get_world_size() == 1 or torch.distributed.get_rank() == 0: + clear_test_dirs() diff --git a/tests/model/test_model_train.py b/tests/model/test_model_train.py index dc24f6b6d..31798f342 100644 --- a/tests/model/test_model_train.py +++ b/tests/model/test_model_train.py @@ -38,7 +38,6 @@ "bigbird", "bslongformer", "gmlp", - "amlp", "flash", ], "hidden_dropout": [0, 0.1], @@ -50,7 +49,10 @@ keys_to_test = PARAMS_TO_TEST.keys() - +# TODO: fix model training tests +@pytest.mark.skip( + reason="All model tests are skipped until we fix the CUDA + torch multiprocessing issue." +) @pytest.mark.parametrize( "key, value", [(key, value) for key in keys_to_test for value in PARAMS_TO_TEST[key]], diff --git a/tests/unit/test_arguments.py b/tests/unit/test_arguments.py index 7144a149c..b52a3b065 100644 --- a/tests/unit/test_arguments.py +++ b/tests/unit/test_arguments.py @@ -13,7 +13,7 @@ # limitations under the License. from megatron.neox_arguments import NeoXArgs -from tests.common import BASE_CONFIG, distributed_test +from tests.common import BASE_CONFIG, DistributedTest def test_main_constructor(): @@ -24,18 +24,26 @@ def test_main_constructor(): neox_args.configure_distributed_args() -def test_constructor_from_ymls(): - @distributed_test(world_size=[1, 2]) - def _test_constructor_from_ymls(): +class test_constructor_from_ymls_class(DistributedTest): + world_size = 2 + + def test(self): neox_args = NeoXArgs.from_ymls(["tests/config/test_setup.yml"]) neox_args.configure_distributed_args() - _test_constructor_from_ymls() +def test_constructor_from_ymls(): + t1 = test_constructor_from_ymls_class() + t1.test() -def test_constructor_from_dict(): - @distributed_test(world_size=[1, 2]) - def _test_constructor_from_dict(): + +class test_constructor_from_dict_class(DistributedTest): + world_size = 2 + + def test(self): neox_args = NeoXArgs.from_dict(BASE_CONFIG) - _test_constructor_from_dict() + +def test_constructor_from_dict(): + t1 = test_constructor_from_dict_class() + t1.test() diff --git a/tests/unit/test_launcher_scripts.py b/tests/unit/test_launcher_scripts.py index d281b6c04..581608231 100644 --- a/tests/unit/test_launcher_scripts.py +++ b/tests/unit/test_launcher_scripts.py @@ -55,6 +55,9 @@ def test_preprocess_data(tokenizer_type): preprocess_data.main(input_args) +@pytest.mark.skip( + reason="All model tests are skipped until we fix the CUDA + torch multiprocessing issue." +) def test_generate(monkeypatch, tmpdir, tmp_path, sample_input_file): model_dir = str(tmpdir) sample_output_file = str(tmp_path) + ".txt" @@ -71,6 +74,9 @@ def test_generate(monkeypatch, tmpdir, tmp_path, sample_input_file): generate.main(input_args=deepspeed_main_args, overwrite_values=generate_args) +@pytest.mark.skip( + reason="All model tests are skipped until we fix the CUDA + torch multiprocessing issue." +) def test_evaluate(monkeypatch, tmpdir, tmp_path): model_dir = str(tmpdir) sample_output_file = str(tmp_path) @@ -87,6 +93,9 @@ def test_evaluate(monkeypatch, tmpdir, tmp_path): evaluate.main(input_args=deepspeed_main_args, overwrite_values=evaluate_args) +@pytest.mark.skip( + reason="All model tests are skipped until we fix the CUDA + torch multiprocessing issue." +) def test_finetuning(monkeypatch, tmpdir, tmp_path): # Save random model, load random model, keep training # TODO: add mocking to check that we're not ignoring the previously loaded model @@ -101,6 +110,9 @@ def test_finetuning(monkeypatch, tmpdir, tmp_path): train.main(input_args=deepspeed_main_args, overwrite_values=finetune_args) +@pytest.mark.skip( + reason="All model tests are skipped until we fix the CUDA + torch multiprocessing issue." +) def test_train_launcher(monkeypatch): input_args = ["train.py", "tests/config/test_setup.yml"] deepspeed_main_args = simulate_deepy_env(monkeypatch, input_args) From 46d179cc0d8cd357c8448c37b8f356b591dafe49 Mon Sep 17 00:00:00 2001 From: Jacob Hatef <74274091+jahatef@users.noreply.github.com> Date: Wed, 21 Feb 2024 13:46:22 -0500 Subject: [PATCH 48/99] Memory profiling (#1153) * Fixes distributed tests, and skips tests that are broken. * memory profiling for gpt-neox. Only works for pp=0, pp=1+ needs DS commits. * Update NeoXArgs docs automatically * adds memory profiling for pipeline parallel * Update NeoXArgs docs automatically * fix spacing * Update NeoXArgs docs automatically * fix spacing again * Update NeoXArgs docs automatically * get rid of unwanted changes * Update NeoXArgs docs automatically * get rid of file * Update NeoXArgs docs automatically * Update NeoXArgs docs automatically * add nsight systems support * remove tests changes again * Update NeoXArgs docs automatically * add tests * Update NeoXArgs docs automatically * Update training.py * Update NeoXArgs docs automatically * Add assertion message * pre-commit * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions Co-authored-by: Quentin Anthony --- configs/neox_arguments.md | 50 ++++++++++++++++++- megatron/neox_arguments/neox_args.py | 33 +++++++++++++ megatron/training.py | 74 ++++++++++++++++++++++++++++ 3 files changed, 156 insertions(+), 1 deletion(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 022fa6218..46cc91c1c 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 0eb8b39 + Default = 8669123 current git hash of repository @@ -199,6 +199,54 @@ Logging Arguments +- **memory_profiling**: bool + + Default = False + + Whether to take a memory snapshot of the model. Useful for debugging memory issues. + + + +- **memory_profiling_path**: str + + Default = None + + Path to save memory snapshot to. + + + +- **profile**: bool + + Default = False + + Enable nsys profiling. When using this option, + nsys options should be specified in commandline. + An example nsys commandline is + ``` + nsys profile -s none -t nvtx,cuda -o + --force-overwrite true + --capture-range=cudaProfilerApi + --capture-range-end=stop + ``` + + + +- **profile_step_start**: int + + Default = 10 + + Step to start profiling at. + + + +- **profile_step_stop**: int + + Default = 12 + + Step to stop profiling at. + + + ## NeoXArgsModel Model Arguments diff --git a/megatron/neox_arguments/neox_args.py b/megatron/neox_arguments/neox_args.py index db1ffcc1f..7f3afffa5 100644 --- a/megatron/neox_arguments/neox_args.py +++ b/megatron/neox_arguments/neox_args.py @@ -573,6 +573,39 @@ class NeoXArgsLogging(NeoXArgsTemplate): Whether to offload the buffered gradients to cpu when measuring gradient noise scale. """ + memory_profiling: bool = False + """ + Whether to take a memory snapshot of the model. Useful for debugging memory issues. + """ + + memory_profiling_path: str = None + """ + Path to save memory snapshot to. + """ + + profile: bool = False + """ + Enable nsys profiling. When using this option, + nsys options should be specified in commandline. + An example nsys commandline is + ``` + nsys profile -s none -t nvtx,cuda -o + --force-overwrite true + --capture-range=cudaProfilerApi + --capture-range-end=stop + ``` + """ + + profile_step_start: int = 10 + """ + Step to start profiling at. + """ + + profile_step_stop: int = 12 + """ + Step to stop profiling at. + """ + @dataclass class NeoXArgsOther(NeoXArgsTemplate): diff --git a/megatron/training.py b/megatron/training.py index 5df179821..216878678 100644 --- a/megatron/training.py +++ b/megatron/training.py @@ -56,6 +56,9 @@ ) from megatron.model.gpt2_model import cross_entropy +from pickle import dump +import os + def mup_weights_reinit(neox_args, model): def has_method(o, name): @@ -368,6 +371,8 @@ def forward_step( return model.eval_batch(data_iterator, return_logits=return_logits) # Get the batch. + if neox_args.memory_profiling and neox_args.it: + torch.cuda.nvtx.range_push(f"Get batch") if timers is not None: timers("batch generator").start() tokens, labels, loss_mask, attention_mask, position_ids = get_batch( @@ -376,7 +381,11 @@ def forward_step( if timers is not None: timers("batch generator").stop() + if neox_args.memory_profiling: + torch.cuda.nvtx.range_pop() + if neox_args.memory_profiling: + torch.cuda.nvtx.range_push(f"Forward pass") outputs = model((tokens, position_ids, attention_mask), neox_args=neox_args) if ( is_train @@ -388,6 +397,8 @@ def forward_step( loss = cross_entropy( outputs, (labels, loss_mask), _fp16=neox_args.fp16_lm_cross_entropy ) + if neox_args.memory_profiling: + torch.cuda.nvtx.range_pop() if return_logits: return loss, outputs return loss @@ -628,6 +639,15 @@ def get_learning_rate_scheduler(optimizer, neox_args): def setup_model_and_optimizer(neox_args, use_cache=False, iteration=None): + """Setup memory profiler""" + if neox_args.memory_profiling: + torch.cuda.memory._record_memory_history( + True, + # keep a maximum 100,000 alloc/free events from before the snapshot + trace_alloc_max_entries=100000, + trace_alloc_record_context=True, + ) + """Setup model and optimizer.""" model = get_model(neox_args=neox_args, use_cache=use_cache) optimizer, param_groups = get_optimizer(model=model, neox_args=neox_args) @@ -727,6 +747,13 @@ def train_step(neox_args, timers, data_iterator, model, optimizer, lr_scheduler) reduced_loss = train_step_pipe( neox_args=neox_args, timers=timers, model=model, data_iterator=data_iterator ) + if ( + neox_args.memory_profiling + and neox_args.iteration >= neox_args.profile_step_start + and neox_args.iteration <= neox_args.profile_step_stop + and torch.distributed.get_rank() == 0 + ): + save_snapshot(neox_args) else: losses = [] for _ in range(neox_args.gradient_accumulation_steps): @@ -742,6 +769,12 @@ def train_step(neox_args, timers, data_iterator, model, optimizer, lr_scheduler) timers("forward").stop() losses.append(loss) # Calculate gradients, reduce across processes, and clip. + if ( + neox_args.profiling + and neox_args.iteration >= neox_args.profile_step_start + and neox_args.iteration <= neox_args.profile_step_stop + ): + torch.cuda.nvtx.range_push(f"Backward pass") timers("backward").start() backward_step( neox_args=neox_args, @@ -751,13 +784,38 @@ def train_step(neox_args, timers, data_iterator, model, optimizer, lr_scheduler) loss=loss, ) timers("backward").stop() + if ( + neox_args.profiling + and neox_args.iteration >= neox_args.profile_step_start + and neox_args.iteration <= neox_args.profile_step_stop + ): + torch.cuda.nvtx.range_pop() # Update parameters. + if ( + neox_args.profiling + and neox_args.iteration >= neox_args.profile_step_start + and neox_args.iteration <= neox_args.profile_step_stop + ): + torch.cuda.nvtx.range_push(f"Optimizer step") timers("optimizer").start() if neox_args.deepspeed: model.step() else: raise ValueError("Must be using deepspeed to run neox") timers("optimizer").stop() + if ( + neox_args.profiling + and neox_args.iteration >= neox_args.profile_step_start + and neox_args.iteration <= neox_args.profile_step_stop + ): + torch.cuda.nvtx.range_pop() + if ( + neox_args.profiling + and neox_args.iteration >= neox_args.profile_step_start + and neox_args.iteration <= neox_args.profile_step_stop + and torch.distributed.get_rank() == 0 + ): + save_snapshot(neox_args) reduced_loss = { "lm_loss": reduce_losses(losses).mean() } # reduces losses across machines for logging @@ -819,6 +877,8 @@ def train( # to monitor if we've skipped many iterations in a row and trigger an early exit overflow_monitor = OverflowMonitor(optimizer) while iteration < neox_args.train_iters: + if neox_args.profile and iteration == neox_args.profile_step_start: + torch.cuda.cudart().cudaProfilerStart() loss_dict, skipped_iter = train_step( neox_args=neox_args, timers=timers, @@ -827,6 +887,8 @@ def train( optimizer=optimizer, lr_scheduler=lr_scheduler, ) + if neox_args.profile and iteration == neox_args.profile_step_stop: + torch.cuda.cudart().cudaProfilerStop() iteration += 1 neox_args.iteration = iteration if neox_args.precision == "fp16": @@ -1033,3 +1095,15 @@ def evaluate_and_print_results( print_rank_0("-" * length) print_rank_0(string) print_rank_0("-" * length) + + +def save_snapshot(neox_args): + assert ( + neox_args.memory_profiling_path is not None + ), "Must pass memory_profiling_path config arg to use profiling" + snapshot = torch.cuda.memory._snapshot() + snapshot_path = os.path.join(neox_args.memory_profiling_path) + if not os.path.exists(snapshot_path): + os.makedirs(snapshot_path) + with open(os.path.join(snapshot_path, "mem_snapshot.pickle"), "wb") as f: + dump(snapshot, f) From eee03b281f13df6fb9e45b67a1f8f97d0df0c4bb Mon Sep 17 00:00:00 2001 From: Jacob Hatef <74274091+jahatef@users.noreply.github.com> Date: Thu, 22 Feb 2024 19:48:29 -0500 Subject: [PATCH 49/99] add profiling to readme (#1154) * add profiling to readme * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions --- README.md | 31 +++++++++++++++++++++++++++++++ configs/neox_arguments.md | 2 +- images/memory_profiling.png | Bin 0 -> 1089137 bytes images/nsight_profiling.png | Bin 0 -> 483416 bytes 4 files changed, 32 insertions(+), 1 deletion(-) create mode 100644 images/memory_profiling.png create mode 100644 images/nsight_profiling.png diff --git a/README.md b/README.md index 2a06ac9bf..1c7c81932 100644 --- a/README.md +++ b/README.md @@ -67,6 +67,7 @@ Prior to 3/9/2023, GPT-NeoX relied on [DeeperSpeed](https://github.com/EleutherA * [Weights and Biases](#weights-and-biases) * [TensorBoard](#tensorboard) - [Running on multi-node](#running-on-multi-node) +- [Profiling](#profiling) - [Adoption and Publications](#adoption-and-publications) * [Publications](#publications) * [Models](#models) @@ -561,6 +562,36 @@ We also support using TensorBoard via the tensorboard-dir --force-overwrite true \ +--capture-range=cudaProfilerApi --capture-range-end=stop python $TRAIN_PATH/deepy.py \ +$TRAIN_PATH/train.py --conf_dir configs +``` + +The generated output file can then by viewed with the Nsight Systems GUI: + +![Alt text](images/nsight_profiling.png) + +## PyTorch Memory Profiling + +To use PyTorch Memory Profiling, set config options `memory_profiling` and `memory_profiling_path`. + +![Alt text](images/memory_profiling.png) + +View the generated profile with the [memory_viz.py](https://github.com/pytorch/pytorch/blob/main/torch/cuda/_memory_viz.py) script. Run with: + +``` +python _memory_viz.py trace_plot -o trace.html +``` + # Adoption and Publications The GPT-NeoX library was been widely adopted by academic and industry researchers and ported on to many HPC systems. diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 46cc91c1c..6f0d9c1a1 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 8669123 + Default = 211e726 current git hash of repository diff --git a/images/memory_profiling.png b/images/memory_profiling.png new file mode 100644 index 0000000000000000000000000000000000000000..87d62f4c3787b11f464a62d64e41d7f4af00db10 GIT binary patch literal 1089137 zcmeFYcT^K?`!1T$i}WsN04Y+GB1$y@M0y7i0qIC@f*>{YB1mt75ITy|J0hW16#=OM z>7YV@Py=Z@zVG+#b&&w4zY)dpv?0y#)550=x z*Hd{oNM&ByATXJb_-b-f=VQb?TL=kFl(A_V`R^q4{2vd4ALafW&pF=@h5LQ`vefY@ z*XgbhliY_c*T8Ru7#KnRPT;fsWJXn*V_`lj3d&yoE#NTp7>uY 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zCt4>TRSe9Te0}cupp4a`yRfSIXffSn#wBO}jJM%GHr028sfBDce{hLZDqy?ar2;w} z8*JvzB$TM-`I`gf>bBHMTp-TY5V&DiHI8I)bATy8dx5d?H;L=f+E1bqE+3$Ti!GdV zXi>WGgCKwH4I*+Od7OP+KQ>dQ=<08BhsafWR%lHpf81^f-X4d6&qixRo+K)Wsfb&+ zvVa7bF=OI;`Xm~(k4ZkOyFUC|jys=zd>cv;g9m6taET4zV+BSl@n$Kv2uTzw;S(}a eq?k(S%7WluOBmFQy+N^J;IXxKw5qf4OZ*R$jvaCU literal 0 HcmV?d00001 From a7638a8d9d62e275c4d93851ca0186b4d528485f Mon Sep 17 00:00:00 2001 From: segyges <65882655+segyges@users.noreply.github.com> Date: Thu, 22 Feb 2024 18:52:08 -0600 Subject: [PATCH 50/99] Python version update (#1122) * Switch default command for docker image * Rename pythia paths docker file for clarity * Update docker build to use python 3.10 * Update github workflows to use ubuntu 22.04 and python 3.10 * Bump pytorch library patch versions * Add pytest-html for reasonably formatted test reports * Fix build after torch and cuda version bump * Fix apex install for newer version 1) This, empirically, works, as tested by running the build and kicking off training. 2) Apex documentation says it is incorrect syntax and deprecated. 3) It takes so long to compile that it is probably, all by itself, something that needs fixing. 4) I will probably pull the fused adamw out of apex. 5) It has been building for twenty minutes so I am going to go do something else. * Fix pip version to ensure apex compilation remains good * Fix unit test for evaluate * Fix pip requirement Prevents possible build issues with apex especially across divergent pip versions * Update dockerfile to point to stripped-down apex repo * Revert "Update dockerfile to point to stripped-down apex repo" This reverts commit 40c76560b2a8d40c06a0aeb6ebba408e182364e4. * Update apex version in dockerfile * Switch to downloading prebuilt apex wheel * Clean up docker copy commands * Have docker build conditionally get binaries or build apex * Apply precommit --- .github/workflows/pull_request.yml | 6 +-- Dockerfile | 47 +++++++++++-------- .../docker/{paths.yml => pythia-paths.yml} | 0 configs/neox_arguments.md | 7 ++- docker-compose-dockerhub.yml | 2 +- docker-compose.yml | 2 +- requirements/requirements-apex-pip.txt | 1 + requirements/requirements-dev.txt | 1 + requirements/requirements-sparseattention.txt | 2 +- tests/unit/test_launcher_scripts.py | 11 +++-- 10 files changed, 44 insertions(+), 35 deletions(-) rename configs/docker/{paths.yml => pythia-paths.yml} (100%) create mode 100644 requirements/requirements-apex-pip.txt diff --git a/.github/workflows/pull_request.yml b/.github/workflows/pull_request.yml index 8ee2f2a62..3213718df 100644 --- a/.github/workflows/pull_request.yml +++ b/.github/workflows/pull_request.yml @@ -4,12 +4,12 @@ on: [pull_request] jobs: pre-commit: - runs-on: ubuntu-20.04 + runs-on: ubuntu-22.04 steps: - uses: actions/checkout@v2 - uses: actions/setup-python@v4 with: - python-version: 3.8 + python-version: 3.10 cache: "pip" cache-dependency-path: "**/requirements*.txt" # Need the right version of clang-format @@ -24,7 +24,7 @@ jobs: uses: docker/build-push-action@v2 update-documentation: - runs-on: ubuntu-20.04 + runs-on: ubuntu-22.04 steps: - uses: actions/checkout@v3 with: diff --git a/Dockerfile b/Dockerfile index e2f0a3d4c..570c95f2a 100644 --- a/Dockerfile +++ b/Dockerfile @@ -12,7 +12,7 @@ # See the License for the specific language governing permissions and # limitations under the License. -FROM nvidia/cuda:11.7.1-devel-ubuntu20.04 +FROM nvidia/cuda:12.1.1-devel-ubuntu22.04 ENV DEBIAN_FRONTEND=noninteractive @@ -21,20 +21,20 @@ LABEL org.opencontainers.image.version = "2.0" LABEL org.opencontainers.image.authors = "contact@eleuther.ai" LABEL org.opencontainers.image.source = "https://www.github.com/eleutherai/gpt-neox" LABEL org.opencontainers.image.licenses = " Apache-2.0" -LABEL org.opencontainers.image.base.name="docker.io/nvidia/cuda:11.7.1-devel-ubuntu20.04" +LABEL org.opencontainers.image.base.name="docker.io/nvidia/cuda:12.1.1-devel-ubuntu22.04" #### System package (uses default Python 3 version in Ubuntu 20.04) RUN apt-get update -y && \ apt-get install -y \ - git python3.9 python3-dev libpython3-dev python3-pip sudo pdsh \ - htop llvm-9-dev tmux zstd software-properties-common build-essential autotools-dev \ + git python3-dev libpython3-dev python3-pip sudo pdsh \ + htop tmux zstd software-properties-common build-essential autotools-dev \ nfs-common pdsh cmake g++ gcc curl wget vim less unzip htop iftop iotop ca-certificates ssh \ rsync iputils-ping net-tools libcupti-dev libmlx4-1 infiniband-diags ibutils ibverbs-utils \ rdmacm-utils perftest rdma-core nano && \ update-alternatives --install /usr/bin/python python /usr/bin/python3 1 && \ update-alternatives --install /usr/bin/pip pip /usr/bin/pip3 1 && \ - pip install --upgrade pip && \ - pip install gpustat + python -m pip install --upgrade pip && \ + python -m pip install gpustat ### SSH RUN mkdir /var/run/sshd && \ @@ -88,24 +88,31 @@ RUN mkdir -p /home/mchorse/.ssh /job && \ echo 'export LD_LIBRARY_PATH=/usr/local/lib:/usr/local/mpi/lib:/usr/local/mpi/lib64:$LD_LIBRARY_PATH' >> /home/mchorse/.bashrc #### Python packages -RUN pip install torch==1.13.0+cu117 torchvision==0.14.0+cu117 torchaudio==0.13.0 --extra-index-url https://download.pytorch.org/whl/cu117 && pip cache purge -COPY requirements/requirements.txt . -COPY requirements/requirements-wandb.txt . -COPY requirements/requirements-onebitadam.txt . -COPY requirements/requirements-sparseattention.txt . -COPY requirements/requirements-flashattention.txt . -RUN pip install -r requirements.txt && pip install -r requirements-onebitadam.txt -RUN pip install -r requirements-sparseattention.txt -RUN pip install -r requirements-flashattention.txt -RUN pip install -r requirements-wandb.txt -RUN pip install protobuf==3.20.* -RUN pip cache purge +RUN python -m pip install --no-cache-dir torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121 +COPY requirements/* ./ +RUN python -m pip install --no-cache-dir -r requirements.txt && pip install -r requirements-onebitadam.txt +RUN python -m pip install -r requirements-sparseattention.txt +RUN python -m pip install -r requirements-flashattention.txt +RUN python -m pip install -r requirements-wandb.txt +RUN python -m pip install protobuf==3.20.* +RUN python -m pip cache purge ## Install APEX -RUN pip install -v --disable-pip-version-check --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" git+https://github.com/NVIDIA/apex.git@a651e2c24ecf97cbf367fd3f330df36760e1c597 +# Detect the architecture and install Apex accordingly +RUN ARCH=$(uname -m) && \ + if [ "$ARCH" = "x86_64" ]; then \ + wget https://github.com/segyges/not-nvidia-apex/releases/download/jan-2024/apex-0.1-cp310-cp310-linux_x86_64.zip && \ + unzip ./apex-0.1-cp310-cp310-linux_x86_64.zip && \ + python -m pip install ./apex-0.1-cp310-cp310-linux_x86_64.whl; \ + else \ + # Install Apex directly from source for other architectures + python -m pip install -r requirements-apex-pip.txt && \ + python -m pip install -v --disable-pip-version-check --no-cache-dir --no-build-isolation --config-settings --global-option=--cpp_ext --config-settings --global-option=--cuda_ext git+https://github.com/NVIDIA/apex.git@141bbf1cf362d4ca4d94f4284393e91dda5105a5; \ + fi COPY megatron/fused_kernels/ megatron/fused_kernels -RUN python megatron/fused_kernels/setup.py install +WORKDIR /megatron/fused_kernels +RUN python setup.py install # Clear staging RUN mkdir -p /tmp && chmod 0777 /tmp diff --git a/configs/docker/paths.yml b/configs/docker/pythia-paths.yml similarity index 100% rename from configs/docker/paths.yml rename to configs/docker/pythia-paths.yml diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 6f0d9c1a1..287ad7b71 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -1024,7 +1024,7 @@ Text Generation arguments - **prompt_end**: str - Default = + Default = a single prompt's end. Defaults to newline @@ -1066,7 +1066,7 @@ Text Generation arguments - **eval_results_prefix**: str - Default = + Default = prefix to which to save evaluation results - final fp will be {eval_results_prefix}_eval_results_yy-mm-dd-HH-MM.json @@ -1810,7 +1810,7 @@ Args for deepspeed config Default = None - + @@ -2110,4 +2110,3 @@ Args for deepspeed runner (deepspeed.launcher.runner). Default = None Adds a `--account` to the DeepSpeed launch command. In DeeperSpeed this is passed on to the SlurmLauncher as well. Sometimes necessary for cluster rules, or so I've heard. - diff --git a/docker-compose-dockerhub.yml b/docker-compose-dockerhub.yml index 0207e63f0..4ac5113f7 100644 --- a/docker-compose-dockerhub.yml +++ b/docker-compose-dockerhub.yml @@ -1,7 +1,7 @@ version: '3' services: gpt-neox: - command: nvidia-smi -q --loop=10 + command: nvidia-smi dmon image: leogao2/gpt-neox:main shm_size: 1g ulimits: diff --git a/docker-compose.yml b/docker-compose.yml index a12213e00..b2591aed0 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -1,7 +1,7 @@ version: '3' services: gpt-neox: - command: nvidia-smi -q --loop=10 + command: nvidia-smi dmon image: gpt-neox build: context: . diff --git a/requirements/requirements-apex-pip.txt b/requirements/requirements-apex-pip.txt new file mode 100644 index 000000000..981f54a30 --- /dev/null +++ b/requirements/requirements-apex-pip.txt @@ -0,0 +1 @@ +pip==23.3.2 diff --git a/requirements/requirements-dev.txt b/requirements/requirements-dev.txt index 6c58478f3..60ff3224f 100644 --- a/requirements/requirements-dev.txt +++ b/requirements/requirements-dev.txt @@ -4,4 +4,5 @@ pre-commit>=2.17.0 pytest>=6.2.3 pytest-cov>=2.11.1 pytest-forked>=1.3.0 +pytest-html==4.1.1 pytest-xdist diff --git a/requirements/requirements-sparseattention.txt b/requirements/requirements-sparseattention.txt index 09386fdcb..3b382f83f 100644 --- a/requirements/requirements-sparseattention.txt +++ b/requirements/requirements-sparseattention.txt @@ -1 +1 @@ -triton==2.0.0.dev20221202 +triton==2.1.0 diff --git a/tests/unit/test_launcher_scripts.py b/tests/unit/test_launcher_scripts.py index 581608231..bdc38f111 100644 --- a/tests/unit/test_launcher_scripts.py +++ b/tests/unit/test_launcher_scripts.py @@ -1,12 +1,13 @@ # Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. import pytest -from tools.datasets import preprocess_data -import train + +import eval import generate -import evaluate +import train from megatron.neox_arguments import NeoXArgs -from tests.common import simulate_deepy_env, save_random_model +from tests.common import save_random_model, simulate_deepy_env +from tools.datasets import preprocess_data @pytest.fixture( @@ -90,7 +91,7 @@ def test_evaluate(monkeypatch, tmpdir, tmp_path): "eval_tasks": ["lambada"], # ["lambada", "hellaswag", "piqa", "sciq"], "eval_results_prefix": sample_output_file, } - evaluate.main(input_args=deepspeed_main_args, overwrite_values=evaluate_args) + eval.main(input_args=deepspeed_main_args, overwrite_values=evaluate_args) @pytest.mark.skip( From 72d18032bc30bc1ae9c7fb31ace717adb6dc3912 Mon Sep 17 00:00:00 2001 From: segyges <65882655+segyges@users.noreply.github.com> Date: Thu, 22 Feb 2024 18:53:23 -0600 Subject: [PATCH 51/99] Minor changes (#1125) * Switch default command for docker image * Rename pythia paths docker file for clarity * Fix unit test for evaluate * Update readme for testing to omit --forked argument * Add pytest-html to requirements-dev.txt * Revert "Update readme for testing to omit --forked argument" This reverts commit 19021fccb1024adaf882ef593108442a15722258. * Add data/ directory and .bin and .idx files in /tests/data to .gitignore This makes it so that git doesn't try to let you commit (or force you to stash) data files * Make .gitignore for data files slightly more elegant * Add utility script for doing token counts on processed datasets * Run precommit hook * Fix token count script, run precommit --- .gitignore | 5 +++++ tools/datasets/dataset_token_count.py | 30 +++++++++++++++++++++++++++ 2 files changed, 35 insertions(+) create mode 100644 tools/datasets/dataset_token_count.py diff --git a/.gitignore b/.gitignore index 34de4e774..dbc83e949 100644 --- a/.gitignore +++ b/.gitignore @@ -137,6 +137,7 @@ data/**/*.bin data/**/*.json* data/**/*.txt data/**/*.gz +data/**/*.zip data/**/*.np* data/**/*.npy checkpoints/ @@ -150,3 +151,7 @@ test_logs/ logs/ tensorboard/ src/ + +# test data files +tests/data/*.bin +tests/data/*.idx diff --git a/tools/datasets/dataset_token_count.py b/tools/datasets/dataset_token_count.py new file mode 100644 index 000000000..c9a4ff3ba --- /dev/null +++ b/tools/datasets/dataset_token_count.py @@ -0,0 +1,30 @@ +# Script counts tokens in a pretokenized dataset from preprocess_data.py +# Necessary for setting batch size, train_iters, etc + +import sys +import os + +## Necessary for the import +project_root = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")) +sys.path.insert(0, project_root) + +from megatron.data import indexed_dataset +import numpy as np + +if len(sys.argv) < 2: + print( + "Usage: python dataset_token_count.py /absolute/file/path/to/dataset1 /absolute/file/path/to/dataset2 ..." + ) + sys.exit(1) + +# Access the command-line arguments +arguments = sys.argv[1:] + +for arg in arguments: + print("Checking file", arg) + try: + dataset = indexed_dataset.make_dataset(arg, "mmap") + size = np.sum(dataset.sizes) + print("Dataset size in tokens is", size) + except AttributeError: + print("Dataset could not be loaded", arg) From f36aed7ffd93fcb5d674236e476a5c80c0e31163 Mon Sep 17 00:00:00 2001 From: Adam I Date: Thu, 22 Feb 2024 21:37:12 -0800 Subject: [PATCH 52/99] Draft PR Adding mistral 0.1 (#1131) * add support for flash attention 2 * change cosine decay to chinchilla style * set default warmup to none so that warmup_iters can be set * fixed bug * fixed chinchilla lr * add s3 checkpoint syncing * rotary embedding in fp32 * fix for seq_len < max_seq_len * some fixes, still not working * ?' : * fix bugs; evaluate on step 0 * first attempt at gqa * gqa works in kv_heads==query_heads case * gqa working * workaround for FSX quota * update with llemma * update with recent PR * README and requirements updated * Added Mistral config * Added sliding window through flash attention 2 * Added sliding window * Mistral should likely use mp=2 like llama2 * Update gitignore * Removed unused CPCargo import * Conversion script (WIP) * Fixed missing slurm environ vars * updated mistral config * updated job script * initial commit conversion mistral hf to sequential * Added stacking q, k, v appropriately for mp ranks * pp=0 support from end of 2023 * Cleaning up config and removing Autoconfig in conversion script * Cleaned up conversion example script * cleanup: add back configs folder, discard Llemma readme * cleanup: remove llemma lr sched changes, re-add requirements/ folder * docs: add explanation of intermediate_size behavior * args: add argument checking for num_kv_heads, clean up usage syntax * args: prevent num KV heads < TP worldsize * readd triton flash attn func * cleanup: use tools/ dir from main * docs: re-add mistral , GQA as supported * cleanup: delete duplicate tools/ files * cleanup: use fp32 rope (non-fused) from main * cleanup: no longer block out GQA codepaths in conversion scripts * cleanup: gqa code a bit * add llama2, llemma configs * add non-flash GQA ; refactor modeling code * clean up mistral config for commit * further cleanup configs dir * remove slurm script from llemma * update seqlen params for codellama, llemma configs * add more comments to GQA code, and make reshapes more readable * make inv_freq non-persistent * actually, just ensure mistral has inv_freqs as a persistent buffer * non-flash GQA works, so ensure arguments.py permits it * no longer use our own copies of flash attention interface functions * remove unused mpu util fn * delete unused config file * fix diff on mpu/utils.py * remove slurm scripts that won't be in this PR * run pre-commit * update tests for conversion scripts * add flash version check for sliding window * pre-commit --------- Co-authored-by: zhangir-azerbayev Co-authored-by: haileyschoelkopf Co-authored-by: Quentin Anthony --- README.md | 13 +- configs/llama2/13B.yml | 26 + configs/llama2/70B.yml | 31 + configs/llama2/7B.yml | 26 + configs/llama2/codellama_34B.yml | 32 + configs/llama2/codellama_7B.yml | 31 + configs/llemma/34B.yml | 101 +++ configs/llemma/7B.yml | 100 +++ configs/mistral/7B.yml | 40 + megatron/model/flash_attention.py | 831 ------------------ megatron/model/transformer.py | 284 ++++-- megatron/neox_arguments/arguments.py | 28 + megatron/neox_arguments/neox_args.py | 25 + megatron/training.py | 1 + megatron/utils.py | 7 +- tests/unit/test_format_conversion_scripts.py | 11 +- tools/ckpts/convert_neox_to_hf.py | 11 - .../convert_raw_llama_weights_to_neox.py | 34 +- 18 files changed, 690 insertions(+), 942 deletions(-) create mode 100644 configs/llama2/13B.yml create mode 100644 configs/llama2/70B.yml create mode 100644 configs/llama2/7B.yml create mode 100644 configs/llama2/codellama_34B.yml create mode 100644 configs/llama2/codellama_7B.yml create mode 100644 configs/llemma/34B.yml create mode 100644 configs/llemma/7B.yml create mode 100644 configs/mistral/7B.yml delete mode 100644 megatron/model/flash_attention.py diff --git a/README.md b/README.md index 1c7c81932..721306c22 100644 --- a/README.md +++ b/README.md @@ -508,13 +508,14 @@ Though NeoX supports a number of different architectural configurations, includi NeoX supports export of compatible models into the following architectures: - GPTNeoXForCausalLM -- LlamaForCausalLM (GQA Support Coming Soon -- all Llama 1 models and Llama 2 / Codellama up to size 13B supported) +- LlamaForCausalLM +- MistralForCausalLM Training a model which does not fit into one of these Hugging Face Transformers architectures cleanly will require writing custom modeling code for the exported model. To convert a GPT-NeoX library checkpoint to Hugging Face-loadable format, run: ```bash -python ./tools/ckpts/convert_neox_to_hf.py --input_dir /path/to/model/global_stepXXX --config_file your_config.yml --output_dir hf_model/save/location --precision {auto,fp16,bf16,fp32} --architecture {neox,llama} +python ./tools/ckpts/convert_neox_to_hf.py --input_dir /path/to/model/global_stepXXX --config_file your_config.yml --output_dir hf_model/save/location --precision {auto,fp16,bf16,fp32} --architecture {neox,mistral,llama} ``` Then to upload a model to [the Hugging Face Hub](https://huggingface.co/), run: @@ -528,11 +529,11 @@ and input the requested information, including HF hub user token. NeoX supplies several utilities for converting a pretrained model checkpoint into a format that can be trained within the library. -The following models can be loaded in GPT-NeoX: +The following models or model families can be loaded in GPT-NeoX: - Llama 1 -- Llama 2 (Up to size 13B) -- CodeLlama (Up to size 13B) -- Mistral-7b-v0.1 (Coming Soon!) +- Llama 2 +- CodeLlama +- Mistral-7b-v0.1 We provide two utilities for converting from two different checkpoint formats into a format compatible with GPT-NeoX. diff --git a/configs/llama2/13B.yml b/configs/llama2/13B.yml new file mode 100644 index 000000000..973b8bea4 --- /dev/null +++ b/configs/llama2/13B.yml @@ -0,0 +1,26 @@ +{ + "pipe_parallel_size": 1, + "model_parallel_size": 2, + "make_vocab_size_divisible_by": 1, + + # model settings + "num_layers": 40, + "hidden_size": 5120, + "num_attention_heads": 40, + "seq_length": 4096, + "max_position_embeddings": 4096, + "pos_emb": "rotary", + "rotary_pct": 1, + "no_weight_tying": true, + "gpt_j_residual": false, + "output_layer_parallelism": "column", + "norm": "rmsnorm", + "rms_norm_epsilon": 1.0e-5, + + "scaled_upper_triang_masked_softmax_fusion": true, + "bias_gelu_fusion": false, + "use_bias_in_norms": false, + "use_bias_in_attn_linear": false, + "mlp_type": "llama", + "activation": "silu", +} diff --git a/configs/llama2/70B.yml b/configs/llama2/70B.yml new file mode 100644 index 000000000..286a1b568 --- /dev/null +++ b/configs/llama2/70B.yml @@ -0,0 +1,31 @@ +{ + "pipe_parallel_size": 1, + "model_parallel_size": 1, + "make_vocab_size_divisible_by": 1, + + # model settings + "num_layers": 80, + "hidden_size": 8192, + "intermediate_size": 28672, + "num_attention_heads": 64, + "num_kv_heads": 8, + "seq_length": 4096, + "max_position_embeddings": 4096, + "pos_emb": "rotary", + "rotary_pct": 1, + "rotary_emb_base": 1000000, + "no_weight_tying": true, + "gpt_j_residual": false, + "output_layer_parallelism": "column", + "norm": "rmsnorm", + "rms_norm_epsilon": 1.0e-5, + + "attention_config": [[["flash"], 48]], + + "scaled_upper_triang_masked_softmax_fusion": true, + "bias_gelu_fusion": false, + "use_bias_in_norms": false, + "use_bias_in_attn_linear": false, + "mlp_type": "llama", + "activation": "silu", +} diff --git a/configs/llama2/7B.yml b/configs/llama2/7B.yml new file mode 100644 index 000000000..6a5c97e64 --- /dev/null +++ b/configs/llama2/7B.yml @@ -0,0 +1,26 @@ +{ + "pipe_parallel_size": 1, + "model_parallel_size": 1, + "make_vocab_size_divisible_by": 1, + + # model settings + "num_layers": 32, + "hidden_size": 4096, + "num_attention_heads": 32, + "seq_length": 4096, + "max_position_embeddings": 4096, + "pos_emb": "rotary", + "rotary_pct": 1, + "no_weight_tying": true, + "gpt_j_residual": false, + "output_layer_parallelism": "column", + "norm": "rmsnorm", + "rms_norm_epsilon": 1.0e-5, + + "scaled_upper_triang_masked_softmax_fusion": true, + "bias_gelu_fusion": false, + "use_bias_in_norms": false, + "use_bias_in_attn_linear": false, + "mlp_type": "llama", + "activation": "silu", +} diff --git a/configs/llama2/codellama_34B.yml b/configs/llama2/codellama_34B.yml new file mode 100644 index 000000000..88e9afaf6 --- /dev/null +++ b/configs/llama2/codellama_34B.yml @@ -0,0 +1,32 @@ +{ + "pipe_parallel_size": 1, + "model_parallel_size": 1, + "make_vocab_size_divisible_by": 1, + + # model settings + "num_layers": 48, + "hidden_size": 8192, + "num_attention_heads": 64, + "num_kv_heads": 8, + # Codellama was uptrained on 16k token sequence lengths + # with rotary_emb_base adjusted to 1_000_000. + "seq_length": 16384, + "max_position_embeddings": 16384, + "pos_emb": "rotary", + "rotary_pct": 1, + "rotary_emb_base": 1000000, + "no_weight_tying": true, + "gpt_j_residual": false, + "output_layer_parallelism": "column", + "norm": "rmsnorm", + "rms_norm_epsilon": 1.0e-5, + + "attention_config": [[["flash"], 48]], + + "scaled_upper_triang_masked_softmax_fusion": true, + "bias_gelu_fusion": false, + "use_bias_in_norms": false, + "use_bias_in_attn_linear": false, + "mlp_type": "llama", + "activation": "silu", +} diff --git a/configs/llama2/codellama_7B.yml b/configs/llama2/codellama_7B.yml new file mode 100644 index 000000000..be123ebee --- /dev/null +++ b/configs/llama2/codellama_7B.yml @@ -0,0 +1,31 @@ +{ + "pipe_parallel_size": 1, + "model_parallel_size": 1, + "make_vocab_size_divisible_by": 1, + + # model settings + "num_layers": 32, + "hidden_size": 4096, + "num_attention_heads": 32, + # Codellama was uptrained on 16k token sequence lengths + # with rotary_emb_base adjusted to 1_000_000. + "seq_length": 16384, + "max_position_embeddings": 16384, + "pos_emb": "rotary", + "rotary_pct": 1, + "rotary_emb_base": 1000000, + "no_weight_tying": true, + "gpt_j_residual": false, + "output_layer_parallelism": "column", + "norm": "rmsnorm", + "rms_norm_epsilon": 1.0e-5, + + "attention_config": [[["flash"], 32]], + + "scaled_upper_triang_masked_softmax_fusion": true, + "bias_gelu_fusion": false, + "use_bias_in_norms": false, + "use_bias_in_attn_linear": false, + "mlp_type": "llama", + "activation": "silu", +} diff --git a/configs/llemma/34B.yml b/configs/llemma/34B.yml new file mode 100644 index 000000000..bd72d7e23 --- /dev/null +++ b/configs/llemma/34B.yml @@ -0,0 +1,101 @@ +{ + "pipe_parallel_size": 0, + "model_parallel_size": 8, + "make_vocab_size_divisible_by": 1, + + # model settings + "num_layers": 48, + "hidden_size": 8192, + "num_attention_heads": 64, + "attention_type": "groupedquery", + "num_kv_heads": 8, + # NB: These rotary embedding and sequence length parameters + # May differ from CodeLlama configs. They match what we used for + # Llemma continued pretraining. See https://arxiv.org/abs/2310.10631 + # For detailed discussion + "seq_length": 4096, + "max_position_embeddings": 4096, + "pos_emb": "rotary", + "rotary_pct": 1, + "rotary_emb_base": 1000000, + "no_weight_tying": true, + "gpt_j_residual": false, + "output_layer_parallelism": "column", + "norm": "rmsnorm", + "rms_norm_epsilon": 1.0e-5, + + "attention_config": [[["flash"], 48]], + + "scaled_upper_triang_masked_softmax_fusion": true, + "bias_gelu_fusion": false, + "use_bias_in_norms": false, + "use_bias_in_attn_linear": false, + "mlp_type": "llama", + "activation": "silu", + + "optimizer": { + "type": "Adam", + "params": { + "lr": 0.00005, + "betas": [0.9, 0.95], + "eps": 1.0e-8 + } + }, + + "zero_optimization": { + "stage": 1, + "allgather_partitions": true, + "allgather_bucket_size": 1260000000, + "overlap_comm": true, + "reduce_scatter": true, + "reduce_bucket_size": 1260000000, + "contiguous_gradients": true, + "cpu_offload": false + }, + + # trained on 256 gpus + "train_micro_batch_size_per_gpu": 2, + "gradient_accumulation_steps": 16, + "data_impl": "mmap", + + "checkpoint_activations": true, + "checkpoint_num_layers": 1, + "partition_activations": true, + "synchronize_each_layer": true, + + "gradient_clipping": 1.0, + "weight_decay": 0.1, + "hidden_dropout": 0, + "attention_dropout": 0, + + "precision": "bfloat16", + "fp32_allreduce": true, + "bf16": { + "enabled": true + }, + "data_types": { + "grad_accum_dtype": "fp32" + }, + + "train_iters": 12000, + "lr_decay_iters": 12000, + "distributed_backend": "nccl", + "lr_decay_style": "cosine", + "min_lr": 1.65e-6, + "warmup": 0.042, # warmup for ~500 iters + "checkpoint_factor": 250, + "eval_interval": 250, + "eval_iters": 25, + + "log_interval": 1, + "steps_per_print": 1, + "wall_clock_breakdown": true, + + "tokenizer_type": "SPMTokenizer", + #"vocab-file": # use 'tokenizer.model' from Meta CodeLlama download + + # "load": "" # set to same as "save" to resume from intermediate finetuning step + #"load": MP=8 CodeLlama-34B checkpoint, converted from Meta CodeLlama download. + # When resuming from mid-finetuning run, change "load" to the same as save location. + "finetune": true, # set to false once resuming from intermediate finetuning step +} diff --git a/configs/llemma/7B.yml b/configs/llemma/7B.yml new file mode 100644 index 000000000..fb72c8c18 --- /dev/null +++ b/configs/llemma/7B.yml @@ -0,0 +1,100 @@ +{ + "pipe_parallel_size": 0, + "model_parallel_size": 2, + "make_vocab_size_divisible_by": 1, + + # model settings + "num_layers": 32, + "hidden_size": 4096, + "num_attention_heads": 32, + # NB: These rotary embedding and sequence length parameters + # May differ from CodeLlama configs. They match what we used for + # Llemma continued pretraining. See https://arxiv.org/abs/2310.10631 + # For detailed discussion + "seq_length": 4096, + "max_position_embeddings": 4096, + "pos_emb": "rotary", + "rotary_pct": 1, + "rotary_emb_base": 10000, + "no_weight_tying": true, + "gpt_j_residual": false, + "output_layer_parallelism": "column", + "norm": "rmsnorm", + "rms_norm_epsilon": 1.0e-5, + + "attention_config": [[["flash"], 32]], + + "scaled_upper_triang_masked_softmax_fusion": true, + "bias_gelu_fusion": false, + "use_bias_in_norms": false, + "use_bias_in_attn_linear": false, + "mlp_type": "llama", + "activation": "silu", + + "optimizer": { + "type": "Adam", + "params": { + "lr": 0.0001, + "betas": [0.9, 0.95], + "eps": 1.0e-8 + } + }, + + "zero_optimization": { + "stage": 1, + "allgather_partitions": true, + "allgather_bucket_size": 1260000000, + "overlap_comm": true, + "reduce_scatter": true, + "reduce_bucket_size": 1260000000, + "contiguous_gradients": true, + "cpu_offload": false + }, + + # trained on 256 gpus + "train_micro_batch_size_per_gpu": 4, + "gradient_accumulation_steps": 2, + "data_impl": "mmap", + + "checkpoint_activations": true, + "checkpoint_num_layers": 1, + "partition_activations": true, + "synchronize_each_layer": true, + + "gradient_clipping": 1.0, + "weight_decay": 0.1, + "hidden_dropout": 0, + "attention_dropout": 0, + + "precision": "bfloat16", + "fp32_allreduce": true, + "bf16": { + "enabled": true + }, + "data_types": { + "grad_accum_dtype": "fp32" + }, + + "train_iters": 48000, + "lr_decay_iters": 48000, + "distributed_backend": "nccl", + "lr_decay_style": "cosine", + "decay_lr_to": 0.033, + "warmup_iters": 500, + "checkpoint_factor": 500, + "eval_interval": 250, + "eval_iters": 50, + + "log_interval": 1, + "steps_per_print": 1, + "wall_clock_breakdown": true, + + "tokenizer_type": "SPMTokenizer", + "vocab-file": "codellama/tokenizer.model", # use tokenizer.model from Meta CodeLlama download + + "save": "/path/to/save/llema-replication", + #"load": "", # once run is started, to restart from intermediate ckpt use "load" = "save" + "load": "/path/to/converted/codellama_7b_weights_with_mp2", + + "finetune": true, # set to false once resuming from intermediate finetuning step +} diff --git a/configs/mistral/7B.yml b/configs/mistral/7B.yml new file mode 100644 index 000000000..67b7c6a52 --- /dev/null +++ b/configs/mistral/7B.yml @@ -0,0 +1,40 @@ +{ + "pipe_parallel_size": 1, + "model_parallel_size": 1, + "make_vocab_size_divisible_by": 1, + + # model settings + "num_layers": 32, + "hidden_size": 4096, + "intermediate_size": 14336, + "num_attention_heads": 32, + "num_kv_heads": 8, + "seq_length": 4096, + "sliding_window_width": 4096, + "max_position_embeddings": 131072, + "pos_emb": "rotary", + "rotary_pct": 1, + "rotary_emb_base": 10000, + "no_weight_tying": true, + "gpt_j_residual": false, + "output_layer_parallelism": "column", + "norm": "rmsnorm", + "rms_norm_epsilon": 1.0e-5, + + # Grouped Query Attention is supported for both default ("global") + # and Flash attention. However, we highly recommend the use of Flash attention + # to get FLOP + runtime speedups when using GQA, + # and sliding window attention is currently only supported by Flash attention. + "attention_config": [[["flash"], 32]], + + "scaled_upper_triang_masked_softmax_fusion": true, + "bias_gelu_fusion": false, + "use_bias_in_norms": false, + "use_bias_in_attn_linear": false, + "mlp_type": "llama", + "activation": "silu", + + "tokenizer_type": "SPMTokenizer", + #"vocab-file": ".../mistral-7B-v0.1/tokenizer.model", # use tokenizer.model from Mistral-7B-v0.1 direct download + +} diff --git a/megatron/model/flash_attention.py b/megatron/model/flash_attention.py deleted file mode 100644 index d446f0a51..000000000 --- a/megatron/model/flash_attention.py +++ /dev/null @@ -1,831 +0,0 @@ -# Based on: https://github.com/HazyResearch/flash-attention/blob/4a6eaa9f27df6fff7ffb2c24e894938a687dd870/flash_attn/flash_attn_interface.py - -import torch -import torch.nn as nn -import torch.nn.functional as F - -from flash_attn import flash_attn_triton -import flash_attn_2_cuda as flash_attn_cuda # For flash_attn version 2.1.1 - - -def flash_attn_unpadded_unpacked_func_triton( - q, k, v, bias=None, causal=False, softmax_scale=None -): - return flash_attn_triton.flash_attn_func(q, k, v, bias, causal, softmax_scale) - - -def _flash_attn_forward_cuda( - q, - k, - v, - out, - cu_seqlens_q, - cu_seqlens_k, - max_seqlen_q, - max_seqlen_k, - dropout_p, - softmax_scale, - causal, - return_softmax, - num_splits=0, - generator=None, -): - """ - num_splits: how much to parallelize over the seqlen_q dimension. num_splits=0 means - it will be set by an internal heuristic. We're exposing num_splits mostly for benchmarking. - Don't change it unless you know what you're doing. - """ - softmax_lse, *rest = flash_attn_cuda.fwd( - q, - k, - v, - out, - cu_seqlens_q, - cu_seqlens_k, - max_seqlen_q, - max_seqlen_k, - dropout_p, - softmax_scale, - False, - causal, - return_softmax, - num_splits, - generator, - ) - # if out.isnan().any() or softmax_lse.isnan().any(): - # breakpoint() - S_dmask = rest[0] if return_softmax else None - return out, softmax_lse, S_dmask - - -def _flash_attn_backward_cuda( - dout, - q, - k, - v, - out, - softmax_lse, - dq, - dk, - dv, - cu_seqlens_q, - cu_seqlens_k, - max_seqlen_q, - max_seqlen_k, - dropout_p, - softmax_scale, - causal, - num_splits=0, - generator=None, -): - """ - num_splits: whether to parallelize over the seqlen_k dimension (num_splits > 1) or - not (num_splits = 1). num_splits=0 means it will be set by an internal heuristic. - Any value above 1 will call the same kernel (i.e. num_splits=2 would call the same kernel - as num_splits=3), so effectively the choices are 0, 1, and 2. - This hyperparameter can be tuned for performance, but default value (heuristic) should work fine. - """ - _, _, _, softmax_d = flash_attn_cuda.bwd( - dout, - q, - k, - v, - out, - softmax_lse, - dq, - dk, - dv, - cu_seqlens_q, - cu_seqlens_k, - max_seqlen_q, - max_seqlen_k, - dropout_p, - softmax_scale, - False, - causal, - num_splits, - generator, - ) - # if dk.isnan().any() or dk.isnan().any() or dv.isnan().any() or softmax_d.isnan().any(): - # breakpoint() - return dq, dk, dv, softmax_d - - -class FlashAttnQKVPackedFunc(torch.autograd.Function): - @staticmethod - def forward( - ctx, - qkv, - cu_seqlens, - max_seqlen, - dropout_p, - softmax_scale, - causal, - return_softmax, - ): - # Save rng_state because the backward pass will regenerate the dropout mask - rng_state = torch.cuda.get_rng_state() if dropout_p > 0 else None - if softmax_scale is None: - softmax_scale = qkv.shape[-1] ** (-0.5) - out, softmax_lse, S_dmask = _flash_attn_forward_cuda( - qkv[:, 0], - qkv[:, 1], - qkv[:, 2], - torch.empty_like(qkv[:, 0]), - cu_seqlens, - cu_seqlens, - max_seqlen, - max_seqlen, - dropout_p, - softmax_scale, - causal=causal, - return_softmax=return_softmax, - ) - ctx.save_for_backward(qkv, out, softmax_lse, cu_seqlens, rng_state) - ctx.dropout_p = dropout_p - ctx.max_seqlen = max_seqlen - ctx.softmax_scale = softmax_scale - ctx.causal = causal - return out if not return_softmax else (out, softmax_lse, S_dmask) - - @staticmethod - def backward(ctx, dout, *args): - qkv, out, softmax_lse, cu_seqlens, rng_state = ctx.saved_tensors - if rng_state is not None: - cur_rng_state = torch.cuda.get_rng_state() - torch.cuda.set_rng_state(rng_state) - dqkv = torch.empty_like(qkv) - _flash_attn_backward_cuda( - dout, - qkv[:, 0], - qkv[:, 1], - qkv[:, 2], - out, - softmax_lse, - dqkv[:, 0], - dqkv[:, 1], - dqkv[:, 2], - cu_seqlens, - cu_seqlens, - ctx.max_seqlen, - ctx.max_seqlen, - ctx.dropout_p, - ctx.softmax_scale, - ctx.causal, - ) - if rng_state is not None: - torch.cuda.set_rng_state(cur_rng_state) - return dqkv, None, None, None, None, None, None - - -def flash_attn_unpadded_qkvpacked_func_cuda( - qkv, - cu_seqlens, - max_seqlen, - dropout_p, - softmax_scale=None, - causal=False, - return_attn_probs=False, -): - return FlashAttnQKVPackedFunc.apply( - qkv, cu_seqlens, max_seqlen, dropout_p, softmax_scale, causal, return_attn_probs - ) - - -class FlashAttnKVPackedFunc(torch.autograd.Function): - @staticmethod - def forward( - ctx, - q, - kv, - cu_seqlens_q, - cu_seqlens_k, - max_seqlen_q, - max_seqlen_k, - dropout_p, - softmax_scale, - causal, - return_softmax, - ): - # Save rng_state because the backward pass will regenerate the dropout mask - rng_state = torch.cuda.get_rng_state() if dropout_p > 0 else None - if softmax_scale is None: - softmax_scale = q.shape[-1] ** (-0.5) - out, softmax_lse, S_dmask = _flash_attn_forward_cuda( - q, - kv[:, 0], - kv[:, 1], - torch.empty_like(q), - cu_seqlens_q, - cu_seqlens_k, - max_seqlen_q, - max_seqlen_k, - dropout_p, - softmax_scale, - causal=causal, - return_softmax=return_softmax, - ) - ctx.save_for_backward( - q, kv, out, softmax_lse, cu_seqlens_q, cu_seqlens_k, rng_state - ) - ctx.dropout_p = dropout_p - ctx.max_seqlen_q = max_seqlen_q - ctx.max_seqlen_k = max_seqlen_k - ctx.softmax_scale = softmax_scale - ctx.causal = causal - return out if not return_softmax else (out, softmax_lse, S_dmask) - - @staticmethod - def backward(ctx, dout, *args): - ( - q, - kv, - out, - softmax_lse, - cu_seqlens_q, - cu_seqlens_k, - rng_state, - ) = ctx.saved_tensors - if rng_state is not None: - cur_rng_state = torch.cuda.get_rng_state() - torch.cuda.set_rng_state(rng_state) - dq = torch.empty_like(q) - dkv = torch.empty_like(kv) - _flash_attn_backward_cuda( - dout, - q, - kv[:, 0], - kv[:, 1], - out, - softmax_lse, - dq, - dkv[:, 0], - dkv[:, 1], - cu_seqlens_q, - cu_seqlens_k, - ctx.max_seqlen_q, - ctx.max_seqlen_k, - ctx.dropout_p, - ctx.softmax_scale, - ctx.causal, - ) - if rng_state is not None: - torch.cuda.set_rng_state(cur_rng_state) - return dq, dkv, None, None, None, None, None, None, None, None - - -def flash_attn_unpadded_kvpacked_func_cuda( - q, - kv, - cu_seqlens_q, - cu_seqlens_k, - max_seqlen_q, - max_seqlen_k, - dropout_p, - softmax_scale=None, - causal=False, - return_attn_probs=False, -): - """dropout_p should be set to 0.0 during evaluation - Arguments: - q: (total_q, nheads, headdim), where total_q = total number of query tokens in the batch. - kv: (total_k, 2, nheads, headdim), where total_k = total number of key tokens in the batch. - cu_seqlens_q: (batch_size + 1,), dtype torch.int32. The cumulative sequence lengths - of the sequences in the batch, used to index into q. - cu_seqlens_k: (batch_size + 1,), dtype torch.int32. The cumulative sequence lengths - of the sequences in the batch, used to index into kv. - max_seqlen_q: int. Maximum query sequence length in the batch. - max_seqlen_k: int. Maximum key sequence length in the batch. - dropout_p: float. Dropout probability. - softmax_scale: float. The scaling of QK^T before applying softmax. - Default to 1 / sqrt(headdim). - causal: bool. Whether to apply causal attention mask (e.g., for auto-regressive modeling). - return_attn_probs: bool. Whether to return the attention probabilities. This option is for - testing only. The returned probabilities are not guaranteed to be correct - (they might not have the right scaling). - Return: - out: (total, nheads, headdim). - softmax_lse [optional, if return_attn_probs=True]: (batch_size, nheads, seqlen). The - logsumexp of each row of the matrix QK^T * scaling (e.g., log of the softmax - normalization factor). - S_dmask [optional, if return_attn_probs=True]: (batch_size, nheads, seqlen, seqlen). - The output of softmax (possibly with different scaling). It also encodes the dropout - pattern (negative means that location was dropped, nonnegative means it was kept). - """ - return FlashAttnKVPackedFunc.apply( - q, - kv, - cu_seqlens_q, - cu_seqlens_k, - max_seqlen_q, - max_seqlen_k, - dropout_p, - softmax_scale, - causal, - return_attn_probs, - ) - - -class FlashAttnFunc(torch.autograd.Function): - @staticmethod - def forward( - ctx, - q, - k, - v, - cu_seqlens_q, - cu_seqlens_k, - max_seqlen_q, - max_seqlen_k, - dropout_p, - softmax_scale, - causal, - return_softmax, - ): - # Save rng_state because the backward pass will regenerate the dropout mask - rng_state = torch.cuda.get_rng_state() if dropout_p > 0 else None - if softmax_scale is None: - softmax_scale = q.shape[-1] ** (-0.5) - out, softmax_lse, S_dmask = _flash_attn_forward_cuda( - q, - k, - v, - torch.empty_like(q), - cu_seqlens_q, - cu_seqlens_k, - max_seqlen_q, - max_seqlen_k, - dropout_p, - softmax_scale, - causal=causal, - return_softmax=return_softmax, - ) - ctx.save_for_backward( - q, k, v, out, softmax_lse, cu_seqlens_q, cu_seqlens_k, rng_state - ) - ctx.dropout_p = dropout_p - ctx.max_seqlen_q = max_seqlen_q - ctx.max_seqlen_k = max_seqlen_k - ctx.softmax_scale = softmax_scale - ctx.causal = causal - return out if not return_softmax else (out, softmax_lse, S_dmask) - - @staticmethod - def backward(ctx, dout, *args): - ( - q, - k, - v, - out, - softmax_lse, - cu_seqlens_q, - cu_seqlens_k, - rng_state, - ) = ctx.saved_tensors - if rng_state is not None: - cur_rng_state = torch.cuda.get_rng_state() - torch.cuda.set_rng_state(rng_state) - dq, dk, dv = torch.empty_like(q), torch.empty_like(k), torch.empty_like(v) - _flash_attn_backward_cuda( - dout, - q, - k, - v, - out, - softmax_lse, - dq, - dk, - dv, - cu_seqlens_q, - cu_seqlens_k, - ctx.max_seqlen_q, - ctx.max_seqlen_k, - ctx.dropout_p, - ctx.softmax_scale, - ctx.causal, - ) - if rng_state is not None: - torch.cuda.set_rng_state(cur_rng_state) - return dq, dk, dv, None, None, None, None, None, None, None, None - - -def flash_attn_unpadded_func_cuda( - q, - k, - v, - cu_seqlens_q, - cu_seqlens_k, - max_seqlen_q, - max_seqlen_k, - dropout_p, - softmax_scale=None, - causal=False, - return_attn_probs=False, -): - """dropout_p should be set to 0.0 during evaluation - Arguments: - q: (total_q, nheads, headdim), where total_q = total number of query tokens in the batch. - k: (total_k, nheads, headdim), where total_k = total number of key tokens in the batch. - v: (total_k, nheads, headdim), where total_k = total number of key tokens in the batch. - cu_seqlens_q: (batch_size + 1,), dtype torch.int32. The cumulative sequence lengths - of the sequences in the batch, used to index into q. - cu_seqlens_k: (batch_size + 1,), dtype torch.int32. The cumulative sequence lengths - of the sequences in the batch, used to index into kv. - max_seqlen_q: int. Maximum query sequence length in the batch. - max_seqlen_k: int. Maximum key sequence length in the batch. - dropout_p: float. Dropout probability. - softmax_scale: float. The scaling of QK^T before applying softmax. - Default to 1 / sqrt(headdim). - causal: bool. Whether to apply causal attention mask (e.g., for auto-regressive modeling). - return_attn_probs: bool. Whether to return the attention probabilities. This option is for - testing only. The returned probabilities are not guaranteed to be correct - (they might not have the right scaling). - Return: - out: (total, nheads, headdim). - softmax_lse [optional, if return_attn_probs=True]: (batch_size, nheads, seqlen). The - logsumexp of each row of the matrix QK^T * scaling (e.g., log of the softmax - normalization factor). - S_dmask [optional, if return_attn_probs=True]: (batch_size, nheads, seqlen, seqlen). - The output of softmax (possibly with different scaling). It also encodes the dropout - pattern (negative means that location was dropped, nonnegative means it was kept). - """ - return FlashAttnFunc.apply( - q, - k, - v, - cu_seqlens_q, - cu_seqlens_k, - max_seqlen_q, - max_seqlen_k, - dropout_p, - softmax_scale, - causal, - return_attn_probs, - ) - - -# For flash-attention 2 integration -def _flash_attn_varlen_forward( - q, - k, - v, - cu_seqlens_q, - cu_seqlens_k, - max_seqlen_q, - max_seqlen_k, - dropout_p, - softmax_scale, - causal, - return_softmax, -): - maybe_contiguous = lambda x: x.contiguous() if x.stride(-1) != 1 else x - q, k, v = [maybe_contiguous(x) for x in (q, k, v)] - ( - out, - q, - k, - v, - out_padded, - softmax_lse, - S_dmask, - rng_state, - ) = flash_attn_cuda.varlen_fwd( - q, - k, - v, - None, - cu_seqlens_q, - cu_seqlens_k, - max_seqlen_q, - max_seqlen_k, - dropout_p, - softmax_scale, - False, - causal, - return_softmax, - None, - ) - # if out.isnan().any() or softmax_lse.isnan().any(): - # breakpoint() - return out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state - - -def _flash_attn_varlen_backward( - dout, - q, - k, - v, - out, - softmax_lse, - dq, - dk, - dv, - cu_seqlens_q, - cu_seqlens_k, - max_seqlen_q, - max_seqlen_k, - dropout_p, - softmax_scale, - causal, - rng_state=None, -): - maybe_contiguous = lambda x: x.contiguous() if x.stride(-1) != 1 else x - # dq, dk, dv are allocated by us so they should already be contiguous - dout, q, k, v, out = [maybe_contiguous(x) for x in (dout, q, k, v, out)] - dq, dk, dv, softmax_d, = flash_attn_cuda.varlen_bwd( - dout, - q, - k, - v, - out, - softmax_lse, - dq, - dk, - dv, - cu_seqlens_q, - cu_seqlens_k, - max_seqlen_q, - max_seqlen_k, - dropout_p, - softmax_scale, - False, - causal, - None, - rng_state, - ) - # if dk.isnan().any() or dk.isnan().any() or dv.isnan().any() or softmax_d.isnan().any(): - # breakpoint() - return dq, dk, dv, softmax_d - - -class FlashAttnVarlenQKVPackedFunc(torch.autograd.Function): - @staticmethod - def forward( - ctx, - qkv, - cu_seqlens, - max_seqlen, - dropout_p, - softmax_scale, - causal, - return_softmax, - ): - if softmax_scale is None: - softmax_scale = qkv.shape[-1] ** (-0.5) - ( - out, - q, - k, - v, - out_padded, - softmax_lse, - S_dmask, - rng_state, - ) = _flash_attn_varlen_forward( - qkv[:, 0], - qkv[:, 1], - qkv[:, 2], - cu_seqlens, - cu_seqlens, - max_seqlen, - max_seqlen, - dropout_p, - softmax_scale, - causal=causal, - return_softmax=return_softmax and dropout_p > 0, - ) - ctx.save_for_backward(q, k, v, out_padded, softmax_lse, cu_seqlens, rng_state) - ctx.dropout_p = dropout_p - ctx.max_seqlen = max_seqlen - ctx.softmax_scale = softmax_scale - ctx.causal = causal - return out if not return_softmax else (out, softmax_lse, S_dmask) - - @staticmethod - def backward(ctx, dout, *args): - q, k, v, out, softmax_lse, cu_seqlens, rng_state = ctx.saved_tensors - qkv_shape = q.shape[:-2] + (3, *q.shape[-2:]) - dqkv = torch.empty(qkv_shape, dtype=q.dtype, device=q.device) - _flash_attn_varlen_backward( - dout, - q, - k, - v, - out, - softmax_lse, - dqkv[:, 0], - dqkv[:, 1], - dqkv[:, 2], - cu_seqlens, - cu_seqlens, - ctx.max_seqlen, - ctx.max_seqlen, - ctx.dropout_p, - ctx.softmax_scale, - ctx.causal, - rng_state=rng_state, - ) - dqkv = dqkv[..., : dout.shape[-1]] # We could have padded the head dimension - return dqkv, None, None, None, None, None, None - - -def flash_attn_varlen_qkvpacked_func( - qkv, - cu_seqlens, - max_seqlen, - dropout_p=0.0, - softmax_scale=None, - causal=False, - return_attn_probs=False, -): - """dropout_p should be set to 0.0 during evaluation - If Q, K, V are already stacked into 1 tensor, this function will be faster than - calling flash_attn_varlen_func on Q, K, V since the backward pass avoids explicit concatenation - of the gradients of Q, K, V. - For multi-query and grouped-query attention (MQA/GQA), please see - flash_attn_varlen_kvpacked_func and flash_attn_varlen_func. - - Arguments: - qkv: (total, 3, nheads, headdim), where total = total number of tokens in the batch. - cu_seqlens: (batch_size + 1,), dtype torch.int32. The cumulative sequence lengths - of the sequences in the batch, used to index into qkv. - max_seqlen: int. Maximum sequence length in the batch. - dropout_p: float. Dropout probability. - softmax_scale: float. The scaling of QK^T before applying softmax. - Default to 1 / sqrt(headdim). - causal: bool. Whether to apply causal attention mask (e.g., for auto-regressive modeling). - return_attn_probs: bool. Whether to return the attention probabilities. This option is for - testing only. The returned probabilities are not guaranteed to be correct - (they might not have the right scaling). - Return: - out: (total, nheads, headdim). - softmax_lse [optional, if return_attn_probs=True]: (batch_size, nheads, seqlen). The - logsumexp of each row of the matrix QK^T * scaling (e.g., log of the softmax - normalization factor). - S_dmask [optional, if return_attn_probs=True]: (batch_size, nheads, seqlen, seqlen). - The output of softmax (possibly with different scaling). It also encodes the dropout - pattern (negative means that location was dropped, nonnegative means it was kept). - """ - return FlashAttnVarlenQKVPackedFunc.apply( - qkv, cu_seqlens, max_seqlen, dropout_p, softmax_scale, causal, return_attn_probs - ) - - -class FlashAttnVarlenKVPackedFunc(torch.autograd.Function): - @staticmethod - def forward( - ctx, - q, - kv, - cu_seqlens_q, - cu_seqlens_k, - max_seqlen_q, - max_seqlen_k, - dropout_p, - softmax_scale, - causal, - return_softmax, - ): - if softmax_scale is None: - softmax_scale = q.shape[-1] ** (-0.5) - ( - out, - q, - k, - v, - out_padded, - softmax_lse, - S_dmask, - rng_state, - ) = _flash_attn_varlen_forward( - q, - kv[:, 0], - kv[:, 1], - cu_seqlens_q, - cu_seqlens_k, - max_seqlen_q, - max_seqlen_k, - dropout_p, - softmax_scale, - causal=causal, - return_softmax=return_softmax and dropout_p > 0, - ) - ctx.save_for_backward( - q, k, v, out_padded, softmax_lse, cu_seqlens_q, cu_seqlens_k, rng_state - ) - ctx.dropout_p = dropout_p - ctx.max_seqlen_q = max_seqlen_q - ctx.max_seqlen_k = max_seqlen_k - ctx.softmax_scale = softmax_scale - ctx.causal = causal - return out if not return_softmax else (out, softmax_lse, S_dmask) - - @staticmethod - def backward(ctx, dout, *args): - ( - q, - k, - v, - out, - softmax_lse, - cu_seqlens_q, - cu_seqlens_k, - rng_state, - ) = ctx.saved_tensors - dq = torch.empty_like(q) - kv_shape = k.shape[:-2] + (2, *k.shape[-2:]) - dkv = torch.empty(kv_shape, dtype=k.dtype, device=k.device) - _flash_attn_varlen_backward( - dout, - q, - k, - v, - out, - softmax_lse, - dq, - dkv[:, 0], - dkv[:, 1], - cu_seqlens_q, - cu_seqlens_k, - ctx.max_seqlen_q, - ctx.max_seqlen_k, - ctx.dropout_p, - ctx.softmax_scale, - ctx.causal, - rng_state=rng_state, - ) - dq = dq[..., : dout.shape[-1]] # We could have padded the head dimension - dkv = dkv[..., : dout.shape[-1]] - return dq, dkv, None, None, None, None, None, None, None, None - - -def flash_attn_varlen_kvpacked_func( - q, - kv, - cu_seqlens_q, - cu_seqlens_k, - max_seqlen_q, - max_seqlen_k, - dropout_p=0.0, - softmax_scale=None, - causal=False, - return_attn_probs=False, -): - """dropout_p should be set to 0.0 during evaluation - If K, V are already stacked into 1 tensor, this function will be faster than - calling flash_attn_func on Q, K, V since the backward pass avoids explicit concatenation - of the gradients of K, V. - Supports multi-query and grouped-query attention (MQA/GQA) by passing in KV with fewer heads - than Q. Note that the number of heads in Q must be divisible by the number of heads in KV. - For example, if Q has 6 heads and K, V have 2 heads, head 0, 1, 2 of Q will attention to head - 0 of K, V, and head 3, 4, 5 of Q will attention to head 1 of K, V. - - If causal=True, the causal mask is aligned to the bottom right corner of the attention matrix. - For example, if seqlen_q = 2 and seqlen_k = 5, the causal mask (1 = keep, 0 = masked out) is: - 1 1 1 1 0 - 1 1 1 1 1 - If seqlen_q = 5 and seqlen_k = 2, the causal mask is: - 0 0 - 0 0 - 0 0 - 1 0 - 1 1 - If the row of the mask is all zero, the output will be zero. - - Arguments: - q: (total_q, nheads, headdim), where total_q = total number of query tokens in the batch. - kv: (total_k, 2, nheads_k, headdim), where total_k = total number of key tokens in the batch. - cu_seqlens_q: (batch_size + 1,), dtype torch.int32. The cumulative sequence lengths - of the sequences in the batch, used to index into q. - cu_seqlens_k: (batch_size + 1,), dtype torch.int32. The cumulative sequence lengths - of the sequences in the batch, used to index into kv. - max_seqlen_q: int. Maximum query sequence length in the batch. - max_seqlen_k: int. Maximum key sequence length in the batch. - dropout_p: float. Dropout probability. - softmax_scale: float. The scaling of QK^T before applying softmax. - Default to 1 / sqrt(headdim). - causal: bool. Whether to apply causal attention mask (e.g., for auto-regressive modeling). - return_attn_probs: bool. Whether to return the attention probabilities. This option is for - testing only. The returned probabilities are not guaranteed to be correct - (they might not have the right scaling). - Return: - out: (total, nheads, headdim). - softmax_lse [optional, if return_attn_probs=True]: (batch_size, nheads, seqlen). The - logsumexp of each row of the matrix QK^T * scaling (e.g., log of the softmax - normalization factor). - S_dmask [optional, if return_attn_probs=True]: (batch_size, nheads, seqlen, seqlen). - The output of softmax (possibly with different scaling). It also encodes the dropout - pattern (negative means that location was dropped, nonnegative means it was kept). - """ - return FlashAttnVarlenKVPackedFunc.apply( - q, - kv, - cu_seqlens_q, - cu_seqlens_k, - max_seqlen_q, - max_seqlen_k, - dropout_p, - softmax_scale, - causal, - return_attn_probs, - ) diff --git a/megatron/model/transformer.py b/megatron/model/transformer.py index 61ba3f3bf..85cfb6e2d 100644 --- a/megatron/model/transformer.py +++ b/megatron/model/transformer.py @@ -53,8 +53,10 @@ """ We use the following notation throughout this file: h: hidden size n: number of attention heads + kv: number of key or value heads p: number of model parallel partitions np: n/p + kvp: kv/p hp: h/p hn: h/n b: batch size @@ -164,8 +166,13 @@ def __init__( self.multiple_of = multiple_of - ff_dim = int(2 * neox_args.hidden_size * 4 / 3) - ff_dim = self.multiple_of * ((ff_dim + multiple_of - 1) // multiple_of) + # Allow custom intermediate size, e.g. for Mistral + if neox_args.intermediate_size is not None: + ff_dim = neox_args.intermediate_size + else: + ff_dim = int(2 * neox_args.hidden_size * 4 / 3) + ff_dim = self.multiple_of * ((ff_dim + multiple_of - 1) // multiple_of) + self.w1 = mpu.ColumnParallelLinear( neox_args=neox_args, input_size=neox_args.hidden_size, @@ -288,6 +295,7 @@ def __init__( neox_args.num_attention_heads, world_size ) self.pos_emb = neox_args.pos_emb + self.use_qk_layernorm = neox_args.use_qk_layernorm if self.use_qk_layernorm: norm, eps = get_norm(neox_args) @@ -299,15 +307,46 @@ def __init__( eps=eps, ) - # Strided linear layer. - self.query_key_value = mpu.ColumnParallelLinear( - neox_args=neox_args, - input_size=neox_args.hidden_size, - output_size=3 * neox_args.hidden_size, - gather_output=False, - init_method=init_method, - bias=neox_args.use_bias_in_attn_linear, - ) + self.sliding_window_width = neox_args.sliding_window_width + + if ( + not neox_args.num_kv_heads + or neox_args.num_kv_heads == neox_args.num_attention_heads + ): + self.gqa = False + else: + self.gqa = True + if self.gqa: + self.num_kv_heads_per_partition = mpu.divide( + neox_args.num_kv_heads, world_size + ) # we do not yet clone KV heads in MQA across TP ranks... + self.kv_hidden_size = ( + neox_args.num_kv_heads * self.hidden_size_per_attention_head + ) # how large the total hidden dim for each of K and V is + else: + self.num_kv_heads_per_partition = self.num_attention_heads_per_partition + self.kv_hidden_size = neox_args.hidden_size + + if not self.gqa: + # Strided linear layer. + self.query_key_value = mpu.ColumnParallelLinear( + neox_args=neox_args, + input_size=neox_args.hidden_size, + output_size=3 * neox_args.hidden_size, + gather_output=False, + init_method=init_method, + bias=neox_args.use_bias_in_attn_linear, + ) + else: + # QKV proj is smaller if we are using GQA / MQA + self.query_key_value = mpu.ColumnParallelLinear( + neox_args=neox_args, + input_size=neox_args.hidden_size, + output_size=neox_args.hidden_size + 2 * self.kv_hidden_size, + gather_output=False, + init_method=init_method, + bias=neox_args.use_bias_in_attn_linear, + ) coeff = None self.norm_factor = math.sqrt(self.hidden_size_per_attention_head) @@ -354,6 +393,10 @@ def __init__( self.attention_type = neox_args.attention_config[layer_number] self.use_flash_attention = self.attention_type == "flash" self.sparse = self.attention_type not in ("global", "flash") + + if self.gqa: + assert not self.sparse + if self.sparse: self.sparse_attn = configure_sparse_attention( neox_args, @@ -363,18 +406,21 @@ def __init__( ) else: if self.use_flash_attention: - from megatron.model.flash_attention import ( - # flash_attn_unpadded_qkvpacked_func_cuda, - # flash_attn_unpadded_kvpacked_func_cuda, - # Change of function names going from flash attention 1 -> flash attention 2 - flash_attn_varlen_qkvpacked_func, - flash_attn_varlen_kvpacked_func, - flash_attn_unpadded_unpacked_func_triton, + # we now use Flash Attention 2's provided interface. + # TODO: we no longer need to use flash_triton_fn since flash cuda supports alibi. + # consider adding OpenAI's more recent Flash-2 Triton kernel in future + # from https://github.com/openai/triton/blob/main/python/tutorials/06-fused-attention.py + from flash_attn.flash_attn_interface import ( + flash_attn_func, + flash_attn_varlen_func, + ) + from flash_attn.flash_attn_triton import ( + flash_attn_func as flash_attn_unpadded_unpacked_func_triton, ) self.flash_triton_fn = flash_attn_unpadded_unpacked_func_triton - self.flash_qkv_fn = flash_attn_varlen_qkvpacked_func - self.flash_kv_fn = flash_attn_varlen_kvpacked_func + self.flash_qkv_fn = flash_attn_func + self.flash_varlen_qkv_fn = flash_attn_varlen_func else: self.scale_mask_softmax = FusedScaleMaskSoftmax( input_in_fp16=self.fp16, @@ -417,13 +463,11 @@ def attention( query_layer.size(0), key_layer.size(0), ) - # [sq, b, np, hn] -> [sq, b * np, hn] query_layer = query_layer.view( output_size[2], output_size[0] * output_size[1], -1 ) key_layer = key_layer.view(output_size[3], output_size[0] * output_size[1], -1) - # preallocating result tensor: [b * np, sq, sk] matmul_result = torch.empty( output_size[0] * output_size[1], @@ -444,7 +488,6 @@ def attention( # change view to [b, np, sq, sk] attention_scores = matmul_result.view(*output_size) - # ================================================== # Update attention mask for inference. [b, np, sq, sk] # ================================================== @@ -519,10 +562,10 @@ def flash_attention(self, query_layer, key_layer, value_layer): # [sk, b, np, hn] -> [b, sk, np, hn] -> [b * sk, 1, np, hn] key_layer = key_layer.transpose(0, 1).reshape( - output_size[0] * output_size[3], 1, output_size[1], -1 + output_size[0], output_size[3], self.num_kv_heads_per_partition, -1 ) value_layer = value_layer.transpose(0, 1).reshape( - output_size[0] * output_size[3], 1, output_size[1], -1 + output_size[0], output_size[3], self.num_kv_heads_per_partition, -1 ) batch_size = output_size[0] @@ -545,51 +588,50 @@ def flash_attention(self, query_layer, key_layer, value_layer): device=key_layer.device, ) - if not self.training: - - # [sq, b, np, hn] -> [b * sq, np, hn] - query_layer = query_layer.transpose(0, 1).reshape( - output_size[0] * output_size[2], output_size[1], -1 - ) - - # Combined k/v into [b * sk, 2, np, hn]. - kv = torch.cat([key_layer, value_layer], dim=1) + # [sq, b, np, hn] -> [b, sq, np, hn] + query_layer = query_layer.transpose(0, 1).reshape( + output_size[0], output_size[2], output_size[1], -1 + ) - output = self.flash_kv_fn( - query_layer, - kv, + if not self.training: + q_shape = query_layer.shape + k_shape = key_layer.shape + v_shape = value_layer.shape + output = self.flash_varlen_qkv_fn( + query_layer.reshape( + (q_shape[0] * q_shape[1], q_shape[2], q_shape[3]) + ), + key_layer.reshape( + (k_shape[0] * k_shape[1], k_shape[2], k_shape[3]) + ), + value_layer.reshape( + (v_shape[0] * v_shape[1], v_shape[2], v_shape[3]) + ), cu_seqlens_q, cu_seqlens_k, max_seqlen_q, max_seqlen_k, - self.dropout_p if self.training else 0.0, softmax_scale=None, causal=True, + window_size=(self.sliding_window_width, -1) + if self.sliding_window_width is not None + else (-1, -1), ) - + output = output.reshape(q_shape) else: - - # [sq, b, np, hn] -> [b * sq, 1, np, hn] - query_layer = query_layer.transpose(0, 1).reshape( - output_size[0] * output_size[2], 1, output_size[1], -1 - ) - - # Combined q/k/v into [b * s, 3, np, hn]. - qkv = torch.cat([query_layer, key_layer, value_layer], dim=1) - output = self.flash_qkv_fn( - qkv, - cu_seqlens_q, - max_seqlen_q, + query_layer, + key_layer, + value_layer, self.dropout_p if self.training else 0.0, softmax_scale=None, causal=True, + window_size=(self.sliding_window_width, -1) + if self.sliding_window_width is not None + else (-1, -1), ) - # [b * sq, np, hn] -> [b, sq, np, hn] - matmul_result = output.view( - output_size[0], output_size[2], output.shape[1], output.shape[2] - ) + matmul_result = output # [b, sq, np, hn] -> [b, np, sq, hn] matmul_result = matmul_result.transpose(1, 2) @@ -631,6 +673,103 @@ def sparse_attention(self, query_layer, key_layer, value_layer, attention_mask): query_layer, key_layer, value_layer, attn_mask=attn_mask, rpe=rpe ) + def gqa_project(self, hidden_states, attention_mask, layer_past=None): + # QKV projection and separation into separate Q/K/V layers for GQA, + # where KV projections may be smaller than Q projection. + # the logic for this is explained in comments of this function + # detailing the intermediate sizes of tensors at each reshape. + + # pass through projection: [sq, b, h] --> [sq, b, ((np + 2 * kvp) * hn)] + mixed_x_layer, _ = self.query_key_value(hidden_states) + + # First: reshape so we have seqlen, batch, and num. query heads each as separate dims + # Final dim is not exactly head dim: the first (head dim) dims are query heads, + # The last (head dim * ratio of kv to q heads) each are the "k/v heads" + # (right now we treat like we have same num. heads, but smaller head dim) + + # [sq, b, ((np + 2 * kvp) * hn)] --> [sq, b, np, (hn * (1 + 2 * (kvp / np)))] + new_qkv_shape = ( + mixed_x_layer.shape[0], + mixed_x_layer.shape[1], + self.num_attention_heads_per_partition, + int( + self.hidden_size_per_attention_head + * ( + 1 + + 2 + * ( + self.num_kv_heads_per_partition + / self.num_attention_heads_per_partition + ) + ) + ), + ) + mixed_x_layer = mixed_x_layer.reshape(*new_qkv_shape) + + # Next: split our fake head dim. (last dim) so that the first (head dim) dimensions go to Q, + # the last smaller 2 * (head dim * kv to q head ratio) each divided between K and V separately + split_sizes = ( + self.hidden_size_per_attention_head, + int( + ( + self.num_kv_heads_per_partition + / self.num_attention_heads_per_partition + ) + * self.hidden_size_per_attention_head + ), + int( + ( + self.num_kv_heads_per_partition + / self.num_attention_heads_per_partition + ) + * self.hidden_size_per_attention_head + ), + ) + + # [sq, b, np, (hn * (1 + 2 * (kvp / np)))] --> 1 x [sq, b, np, hn] , 2 x [sq, b, np, (hn * (kvp / np))] + (query_layer, key_layer, value_layer) = [ + x.contiguous() + for x in torch.split( + mixed_x_layer, + split_sizes, + dim=mixed_x_layer.dim() - 1, + ) + ] + + # reshape K/V to proper output shape (last dim = correct full "real" head size again) + # 2 x [sq, b, np, (hn * (kvp / np))] --> 2 x [sq, b, kvp, hn] + new_kv_shape = ( + key_layer.size(0), + key_layer.size(1), + self.num_kv_heads_per_partition, + self.hidden_size_per_attention_head, + ) + + key_layer = key_layer.view(*new_kv_shape) + + value_layer = value_layer.view(*new_kv_shape) + + # if not using Flash attention, we repeat K/V heads to match Q head counts + if not self.use_flash_attention: + key_layer = torch.repeat_interleave( + key_layer, + repeats=int( + self.num_attention_heads_per_partition + // self.num_kv_heads_per_partition + ), + dim=2, + ) + value_layer = torch.repeat_interleave( + value_layer, + repeats=int( + self.num_attention_heads_per_partition + // self.num_kv_heads_per_partition + ), + dim=2, + ) + + return query_layer, key_layer, value_layer + def forward(self, hidden_states, attention_mask, layer_past=None): # hidden_states: [sq, b, h] @@ -639,20 +778,31 @@ def forward(self, hidden_states, attention_mask, layer_past=None): # Query, Key, and Value # ===================== - # Attention heads [sq, b, h] --> [sq, b, (np * 3 * hn)] - mixed_x_layer, _ = self.query_key_value(hidden_states) + if not self.gqa: + # QKV projection for MHA. - # [sq, b, (np * 3 * hn)] --> [sq, b, np, 3 * hn] - new_tensor_shape = mixed_x_layer.size()[:-1] + ( - self.num_attention_heads_per_partition, - 3 * self.hidden_size_per_attention_head, - ) - mixed_x_layer = mixed_x_layer.view(*new_tensor_shape) + # Attention heads [sq, b, h] --> [sq, b, (np * 3 * hn)] + mixed_x_layer, _ = self.query_key_value(hidden_states) - # [sq, b, np, 3 * hn] --> 3 [sq, b, np, hn] - (query_layer, key_layer, value_layer) = mpu.split_tensor_along_last_dim( - mixed_x_layer, 3 - ) + # [sq, b, (np * 3 * hn)] --> [sq, b, np, 3 * hn] + new_tensor_shape = mixed_x_layer.size()[:-1] + ( + self.num_attention_heads_per_partition, + 3 * self.hidden_size_per_attention_head, + ) + mixed_x_layer = mixed_x_layer.view(*new_tensor_shape) + + # [sq, b, np, 3 * hn] --> 3 [sq, b, np, hn] + (query_layer, key_layer, value_layer) = mpu.split_tensor_along_last_dim( + mixed_x_layer, 3 + ) + else: + # Grouped Query Attention (GQA) - specific logic for performing QKV proj + # and separating out Q, K, and V outputs. + + # output shapes: 1 x [sq, b, np, hn], 2 x [sq, b, kvp, hn] if using flash + query_layer, key_layer, value_layer = self.gqa_project( + hidden_states, attention_mask, layer_past=layer_past + ) # QK Normalization https://arxiv.org/abs/2302.05442 if self.use_qk_layernorm: diff --git a/megatron/neox_arguments/arguments.py b/megatron/neox_arguments/arguments.py index 2745287ed..7bca420cd 100644 --- a/megatron/neox_arguments/arguments.py +++ b/megatron/neox_arguments/arguments.py @@ -21,6 +21,8 @@ import copy import torch import argparse +from pkg_resources import packaging +from importlib.metadata import version from dataclasses import dataclass from typing import List, Dict @@ -388,6 +390,12 @@ def consume_deepy_args(cls, input_args=None): neox_args.wandb_group += "_" + wandb.util.generate_id() + if neox_args.sliding_window_width is not None: + _flash_version = packaging.version.Version(version("flash-attn")) + assert _flash_version >= packaging.version.Version( + "2.0.0" + ), f"Flash-Attention version ({str(_flash_version)}) must be >= 2.0.0 to support sliding window attention." + neox_args.print() return neox_args @@ -1057,6 +1065,26 @@ def calculate_derived(self): # Can't have a default value as an empty dict so need to set it here self.update_value("sparsity_config", {}) + # Multi-query or grouped-query attention settings + if self.num_kv_heads is not None: + # need KV heads <= query heads, and KV heads dividing query heads evenly + assert ( + self.num_attention_heads % self.num_kv_heads == 0 + ), "num_kv_heads must evenly divide num_attention_heads and be no greater than it" + + if self.num_kv_heads < self.num_attention_heads: + # GQA / MQA not compatible with sparse attention configurations + assert ( + not self.sparsity_config + ), "Sparse attention not compatible with GQA or MQA" + assert all( + (attn_type == "flash") or (attn_type == "global") + for attn_type in self.attention_config + ), "GQA / MQA currently only compatible with Flash or standard global Attention" + assert ( + self.num_kv_heads % self.model_parallel_size == 0 + ), "Number of KV heads must be at least model_parallel_size for now!" + # Adding equal dataset weights if none are provided if self.train_data_paths and (self.train_data_weights is None): self.train_data_weights = [1.0] * len(self.train_data_paths) diff --git a/megatron/neox_arguments/neox_args.py b/megatron/neox_arguments/neox_args.py index 7f3afffa5..76da42a43 100644 --- a/megatron/neox_arguments/neox_args.py +++ b/megatron/neox_arguments/neox_args.py @@ -105,9 +105,29 @@ class NeoXArgsModel(NeoXArgsTemplate): Transformer hidden size. """ + intermediate_size: int = None + """ + Transformer intermediate size. Currently only used for "mlp_type": "llama". + + If not passed, will be set to a reasonable default. + """ + num_attention_heads: int = None """ Number of transformer attention heads. + + If num_kv_heads is set, will control only number of query heads. + """ + + num_kv_heads: int = None + """ + Number of transformer key/value attention heads. + + If set to None or the same value as num_attention_heads, will perform multi-head attention (MHA). + If set to < num_attention_heads but > 1, will perform grouped-query attention (GQA) (https://arxiv.org/pdf/2305.13245.pdf) + If set to 1, will perform multi-query attention. + + Must be < num_attention_heads and divide num_attention_heads evenly. """ seq_length: int = None @@ -115,6 +135,11 @@ class NeoXArgsModel(NeoXArgsTemplate): Maximum sequence length to process. """ + sliding_window_width: int = None + """ + Width of the attention sliding window. Only supported with Flash Attention 2. + """ + max_position_embeddings: int = None """ Maximum number of position embeddings to use. This is the size of position embedding. diff --git a/megatron/training.py b/megatron/training.py index 216878678..a6c1a2de9 100644 --- a/megatron/training.py +++ b/megatron/training.py @@ -294,6 +294,7 @@ def _get_batch(neox_args, tokenizer, keys, data, datatype): data=tokens, eod_token=neox_args.tokenizer.eod, eod_mask_loss=neox_args.eod_mask_loss, + sliding_window_width=neox_args.sliding_window_width, ) # If `label` is present, any token < 0 (e.g., -100, the default for torch) skips the loss computation if "label" in data_b: diff --git a/megatron/utils.py b/megatron/utils.py index 777f32b7d..26b4439bd 100644 --- a/megatron/utils.py +++ b/megatron/utils.py @@ -64,7 +64,7 @@ def report_memory(name): print_rank_0(string) -def get_attn_mask(seq_length, device): +def get_attn_mask(seq_length, device, sliding_window_width): """ Get triangular attention mask for a given sequence length / device. """ @@ -72,6 +72,9 @@ def get_attn_mask(seq_length, device): mask = torch.tril(torch.ones((1, seq_length, seq_length), device=device)).view( 1, 1, seq_length, seq_length ) + # get rid of lower diagonals than the sliding window width, if a value was provided + if sliding_window_width is not None: + mask = torch.triu(mask, diagonal=-sliding_window_width) # convert to binary return mask < 0.5 @@ -81,6 +84,7 @@ def get_ltor_masks_and_position_ids( data, eod_token, eod_mask_loss=False, + sliding_window_width=None, ): """Build masks and position id for left to right model.""" @@ -91,6 +95,7 @@ def get_ltor_masks_and_position_ids( attention_mask = get_attn_mask( seq_length=seq_length, device=data.device, + sliding_window_width=sliding_window_width, ) # Loss mask. diff --git a/tests/unit/test_format_conversion_scripts.py b/tests/unit/test_format_conversion_scripts.py index 9c78c962d..e0801434c 100644 --- a/tests/unit/test_format_conversion_scripts.py +++ b/tests/unit/test_format_conversion_scripts.py @@ -1,12 +1,9 @@ import pytest -from tools.ckpts import convert_sequential_to_hf +from tools.ckpts import convert_neox_to_hf from tests.common import simulate_deepy_env, save_random_model from megatron.neox_arguments.neox_args import NeoXArgsTokenizer -# Test is failing; possibly we resolve by using the word embedding weights in the 'layer_00-model_00-model_states.pt' file? -@pytest.mark.xfail( - reason="Failing to find 'word_embeddings.weight' in state_dict['module'] from the 'mp_rank_00_model_states.pt' file" -) + def test_gpt_neox_to_huggingface(monkeypatch, tmpdir, tmp_path): # Generate random GPT-NEOX model, check we can convert to hf format model_dir = str(tmpdir) @@ -24,6 +21,4 @@ def test_gpt_neox_to_huggingface(monkeypatch, tmpdir, tmp_path): model_dir, ] overwrite_values = {"tokenizer_type": NeoXArgsTokenizer.tokenizer_type} - convert_sequential_to_hf.main( - input_args=script_args, overwrite_values=overwrite_values - ) + convert_neox_to_hf.main(input_args=script_args, overwrite_values=overwrite_values) diff --git a/tools/ckpts/convert_neox_to_hf.py b/tools/ckpts/convert_neox_to_hf.py index a9cd4277e..6ad67f208 100644 --- a/tools/ckpts/convert_neox_to_hf.py +++ b/tools/ckpts/convert_neox_to_hf.py @@ -246,11 +246,6 @@ def __init__(self, neox_config): } ) - if args["num_attention_heads"] != args["num_key_value_heads"]: - assert ( - False - ), "Got num_key_value_heads != num_attention_heads, but Grouped-Query Attention is not yet supported by NeoX." - if architecture == "mistral": # mistral-specific options args.update( @@ -671,12 +666,6 @@ def main(input_args=None, overwrite_values=None): "mistral", ], f"expected --architecture to be one of 'neox', 'mistral', 'llama', but got '{args.architecture}' !" - if args.architecture == "mistral": - # Mistral Support Coming Soon - assert ( - False - ), "Got num_key_value_heads != num_attention_heads, but Grouped-Query Attention is not yet supported by NeoX." - with open(args.config_file) as f: loaded_config = yaml.full_load(f) if overwrite_values: diff --git a/tools/ckpts/convert_raw_llama_weights_to_neox.py b/tools/ckpts/convert_raw_llama_weights_to_neox.py index 6fc9f8a7e..a28f1d0fb 100644 --- a/tools/ckpts/convert_raw_llama_weights_to_neox.py +++ b/tools/ckpts/convert_raw_llama_weights_to_neox.py @@ -73,9 +73,6 @@ def convert_model_pipeline( num_layers = params["n_layers"] num_heads = params["n_heads"] if "n_kv_heads" in params: - assert ( - False - ), "Found `n_kv_heads` != `n_heads` in checkpoint config. However, Grouped-Query Attention is not yet supported by NeoX" num_kv_heads = params["n_kv_heads"] else: num_kv_heads = num_heads @@ -165,7 +162,13 @@ def permute_rotary(w): rope_freqs = loaded[0]["layers.0.attention.inner_attention.rope.freqs"] helper.del_loaded("layers.0.attention.inner_attention.rope.freqs") elif "mistral" in model_size: - rope_freqs = None + # mistral does not include rope freqs in the distributed checkpoint, unlike llama. + # rather than making this buffer always non-persistent on the NeoX side, + # just create and save it for Mistral. + base = 10000.0 + rope_freqs = 1.0 / ( + base ** (torch.arange(0, dims_per_head, 2).float() / dims_per_head) + ) else: rope_freqs = loaded[0]["rope.freqs"] helper.del_loaded("rope.freqs") @@ -290,11 +293,7 @@ def permute_rotary(w): # Duplicated layers "input_layernorm.scale": input_layernorm, "post_attention_layernorm.scale": post_attention_layernorm, - **( - {"attention.rotary_emb.inv_freq": rope_freqs} - if "mistral" not in model_size - else {} - ), + "attention.rotary_emb.inv_freq": rope_freqs, }, layer_i=layer_i + 2, rank=out_rank, @@ -333,9 +332,6 @@ def convert_model_sequential( num_layers = params["n_layers"] num_heads = params["n_heads"] if "n_kv_heads" in params: - assert ( - False - ), "Found `n_kv_heads` != `n_heads` in checkpoint config. However, Grouped-Query Attention is not yet supported by NeoX" num_kv_heads = params["n_kv_heads"] else: num_kv_heads = num_heads @@ -417,7 +413,13 @@ def permute_rotary(w): rope_freqs = loaded[0]["layers.0.attention.inner_attention.rope.freqs"] helper.del_loaded("layers.0.attention.inner_attention.rope.freqs") elif "mistral" in model_size: - rope_freqs = None + # mistral does not include rope freqs in the distributed checkpoint, unlike llama. + # rather than making this buffer always non-persistent on the NeoX side, + # just create and save it for Mistral. + base = 10000.0 + rope_freqs = 1.0 / ( + base ** (torch.arange(0, dims_per_head, 2).float() / dims_per_head) + ) else: rope_freqs = loaded[0]["rope.freqs"] helper.del_loaded("rope.freqs") @@ -544,11 +546,7 @@ def permute_rotary(w): # Duplicated layers "input_layernorm.scale": input_layernorm, "post_attention_layernorm.scale": post_attention_layernorm, - **( - {"attention.rotary_emb.inv_freq": rope_freqs} - if "mistral" not in model_size - else {} - ), + "attention.rotary_emb.inv_freq": rope_freqs, }, layer_i=layer_i + 2, rank=out_rank, From 966380297a1ae7984f06249d4464537a59a508e5 Mon Sep 17 00:00:00 2001 From: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com> Date: Mon, 26 Feb 2024 11:23:10 -0500 Subject: [PATCH 53/99] [Bug?] Fix profiling argument names (#1155) * possibly fix profiling flag names * actually, profile_backward already exists * Update NeoXArgs docs automatically * neox_args.profile was also used some places, update that too * Update NeoXArgs docs automatically * profiling --> profile * Update NeoXArgs docs automatically * Revert neox_arguments.md changes * Update NeoXArgs docs automatically * Update gen_docs since __name__ only returns the Literal for string args with Python 3.10 * Update NeoXArgs docs automatically * Another update to preserve non-literals * Update NeoXArgs docs automatically * add union * Update NeoXArgs docs automatically * pre-commit * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions Co-authored-by: Quentin Anthony --- configs/gen_docs.py | 5 ++++- configs/neox_arguments.md | 43 +++++++++++++++++++++++++++++++++++---- megatron/training.py | 10 ++++----- 3 files changed, 48 insertions(+), 10 deletions(-) diff --git a/configs/gen_docs.py b/configs/gen_docs.py index 08431e6c6..1d8c5ba3b 100644 --- a/configs/gen_docs.py +++ b/configs/gen_docs.py @@ -31,7 +31,10 @@ def get_docs(module): field_name, field_def = cur field_type = field_def.type if hasattr(field_type, "__name__"): - field_type = field_type.__name__ + if field_type.__name__ == "Literal" or field_type.__name__ == "Union": + field_type = field_type + else: + field_type = str(field_type.__name__) else: field_type = str(field_type) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 287ad7b71..29db139d3 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 211e726 + Default = 6bb4e62 current git hash of repository @@ -277,12 +277,38 @@ Model Arguments +- **intermediate_size**: int + + Default = None + + Transformer intermediate size. Currently only used for "mlp_type": "llama". + + If not passed, will be set to a reasonable default. + + + - **num_attention_heads**: int Default = None Number of transformer attention heads. + If num_kv_heads is set, will control only number of query heads. + + + +- **num_kv_heads**: int + + Default = None + + Number of transformer key/value attention heads. + + If set to None or the same value as num_attention_heads, will perform multi-head attention (MHA). + If set to < num_attention_heads but > 1, will perform grouped-query attention (GQA) (https://arxiv.org/pdf/2305.13245.pdf) + If set to 1, will perform multi-query attention. + + Must be < num_attention_heads and divide num_attention_heads evenly. + - **seq_length**: int @@ -293,6 +319,14 @@ Model Arguments +- **sliding_window_width**: int + + Default = None + + Width of the attention sliding window. Only supported with Flash Attention 2. + + + - **max_position_embeddings**: int Default = None @@ -1024,7 +1058,7 @@ Text Generation arguments - **prompt_end**: str - Default = + Default = a single prompt's end. Defaults to newline @@ -1066,7 +1100,7 @@ Text Generation arguments - **eval_results_prefix**: str - Default = + Default = prefix to which to save evaluation results - final fp will be {eval_results_prefix}_eval_results_yy-mm-dd-HH-MM.json @@ -1810,7 +1844,7 @@ Args for deepspeed config Default = None - + @@ -2110,3 +2144,4 @@ Args for deepspeed runner (deepspeed.launcher.runner). Default = None Adds a `--account` to the DeepSpeed launch command. In DeeperSpeed this is passed on to the SlurmLauncher as well. Sometimes necessary for cluster rules, or so I've heard. + diff --git a/megatron/training.py b/megatron/training.py index a6c1a2de9..abea4b726 100644 --- a/megatron/training.py +++ b/megatron/training.py @@ -771,7 +771,7 @@ def train_step(neox_args, timers, data_iterator, model, optimizer, lr_scheduler) losses.append(loss) # Calculate gradients, reduce across processes, and clip. if ( - neox_args.profiling + neox_args.profile and neox_args.iteration >= neox_args.profile_step_start and neox_args.iteration <= neox_args.profile_step_stop ): @@ -786,14 +786,14 @@ def train_step(neox_args, timers, data_iterator, model, optimizer, lr_scheduler) ) timers("backward").stop() if ( - neox_args.profiling + neox_args.profile and neox_args.iteration >= neox_args.profile_step_start and neox_args.iteration <= neox_args.profile_step_stop ): torch.cuda.nvtx.range_pop() # Update parameters. if ( - neox_args.profiling + neox_args.profile and neox_args.iteration >= neox_args.profile_step_start and neox_args.iteration <= neox_args.profile_step_stop ): @@ -805,13 +805,13 @@ def train_step(neox_args, timers, data_iterator, model, optimizer, lr_scheduler) raise ValueError("Must be using deepspeed to run neox") timers("optimizer").stop() if ( - neox_args.profiling + neox_args.profile and neox_args.iteration >= neox_args.profile_step_start and neox_args.iteration <= neox_args.profile_step_stop ): torch.cuda.nvtx.range_pop() if ( - neox_args.profiling + neox_args.profile and neox_args.iteration >= neox_args.profile_step_start and neox_args.iteration <= neox_args.profile_step_stop and torch.distributed.get_rank() == 0 From 3c03fc7035dff0e16d46b76490ad8eb225eef51f Mon Sep 17 00:00:00 2001 From: jaimemcc <99298642+jaimemcc-intel@users.noreply.github.com> Date: Wed, 28 Feb 2024 18:53:24 -0800 Subject: [PATCH 54/99] Update cpu_ci.yml (#1159) * Update cpu_ci.yml Updating the workflow to point CPU workflow towards self hosted runner versus Github provided runners * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions --- .github/workflows/cpu_ci.yml | 3 ++- configs/neox_arguments.md | 2 +- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/.github/workflows/cpu_ci.yml b/.github/workflows/cpu_ci.yml index f61978163..9160fccab 100644 --- a/.github/workflows/cpu_ci.yml +++ b/.github/workflows/cpu_ci.yml @@ -4,7 +4,8 @@ on: "push" jobs: run-tests: - runs-on: ubuntu-latest + #runs-on: ubuntu-latest + runs-on: [ 'test', 'self-hosted' ] steps: - uses: actions/checkout@v3 diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 29db139d3..9a0511237 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 6bb4e62 + Default = 4ca9a8a current git hash of repository From 19596b048310d7402086f448e7aae3016da477d1 Mon Sep 17 00:00:00 2001 From: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com> Date: Sat, 2 Mar 2024 17:22:38 -0500 Subject: [PATCH 55/99] Improve argument validation for Flash-attn + SWA (#1162) * Improve argument validation for Flash-attn + SWA * Update NeoXArgs docs automatically * don't pass window_size if not necessary * Update NeoXArgs docs automatically * Update 7B.yml * Update NeoXArgs docs automatically * apply precommit * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions --- configs/mistral/7B.yml | 4 +++- configs/neox_arguments.md | 2 +- megatron/model/transformer.py | 17 +++++++++++------ megatron/neox_arguments/arguments.py | 14 +++++++------- 4 files changed, 22 insertions(+), 15 deletions(-) diff --git a/configs/mistral/7B.yml b/configs/mistral/7B.yml index 67b7c6a52..587fe5d36 100644 --- a/configs/mistral/7B.yml +++ b/configs/mistral/7B.yml @@ -9,7 +9,9 @@ "intermediate_size": 14336, "num_attention_heads": 32, "num_kv_heads": 8, - "seq_length": 4096, + # per Mistral, Mistral-7B-v0.1 was pretrained with 8192 seqlen + # and instruction tuned to 16384 seqlen, all with 4096 sliding window + "seq_length": 8192, "sliding_window_width": 4096, "max_position_embeddings": 131072, "pos_emb": "rotary", diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 9a0511237..be1fd7905 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 4ca9a8a + Default = 11a2e9b current git hash of repository diff --git a/megatron/model/transformer.py b/megatron/model/transformer.py index 85cfb6e2d..f039126b9 100644 --- a/megatron/model/transformer.py +++ b/megatron/model/transformer.py @@ -593,6 +593,15 @@ def flash_attention(self, query_layer, key_layer, value_layer): output_size[0], output_size[2], output_size[1], -1 ) + # only pass in window_size kwarg to flash-attn + # if we use Sliding Window Attention. + # Flash attn defaults to (-1,-1), or + # does not have this kwarg prior to v2.3.0 + extra_kwargs = ( + {"window_size": (self.sliding_window_width, -1)} + if self.sliding_window_width is not None + else {} + ) if not self.training: q_shape = query_layer.shape k_shape = key_layer.shape @@ -613,9 +622,7 @@ def flash_attention(self, query_layer, key_layer, value_layer): max_seqlen_k, softmax_scale=None, causal=True, - window_size=(self.sliding_window_width, -1) - if self.sliding_window_width is not None - else (-1, -1), + **extra_kwargs, ) output = output.reshape(q_shape) else: @@ -626,9 +633,7 @@ def flash_attention(self, query_layer, key_layer, value_layer): self.dropout_p if self.training else 0.0, softmax_scale=None, causal=True, - window_size=(self.sliding_window_width, -1) - if self.sliding_window_width is not None - else (-1, -1), + **extra_kwargs, ) matmul_result = output diff --git a/megatron/neox_arguments/arguments.py b/megatron/neox_arguments/arguments.py index 7bca420cd..ca68100a5 100644 --- a/megatron/neox_arguments/arguments.py +++ b/megatron/neox_arguments/arguments.py @@ -390,12 +390,6 @@ def consume_deepy_args(cls, input_args=None): neox_args.wandb_group += "_" + wandb.util.generate_id() - if neox_args.sliding_window_width is not None: - _flash_version = packaging.version.Version(version("flash-attn")) - assert _flash_version >= packaging.version.Version( - "2.0.0" - ), f"Flash-Attention version ({str(_flash_version)}) must be >= 2.0.0 to support sliding window attention." - neox_args.print() return neox_args @@ -1080,10 +1074,16 @@ def calculate_derived(self): assert all( (attn_type == "flash") or (attn_type == "global") for attn_type in self.attention_config - ), "GQA / MQA currently only compatible with Flash or standard global Attention" + ), "GQA / MQA currently only compatible with Flash or standard global/sliding window Attention" assert ( self.num_kv_heads % self.model_parallel_size == 0 ), "Number of KV heads must be at least model_parallel_size for now!" + # Flash attention version >=2.3.0 required to combine Flash + Sliding Window Attention + if self.sliding_window_width is not None and "flash" in self.attention_config: + _flash_version = packaging.version.Version(version("flash-attn")) + assert _flash_version >= packaging.version.Version( + "2.3.0" + ), f"Flash-Attention version ({str(_flash_version)}) must be >= 2.3.0 to support sliding window attention." # Adding equal dataset weights if none are provided if self.train_data_paths and (self.train_data_weights is None): From 119950c7faee46e7929baac8640c84aa9fda4d2b Mon Sep 17 00:00:00 2001 From: tf-nv <151943126+tf-nv@users.noreply.github.com> Date: Mon, 4 Mar 2024 17:32:09 +0100 Subject: [PATCH 56/99] Single node Pythia 14M training on ngc pytorch 24.02 container (#1170) * Pythia 14M training on ngc pytorch 24.02 container * pre-commit --------- Co-authored-by: Quentin Anthony --- Dockerfile | 36 ++------------------ configs/neox_arguments.md | 7 ++-- requirements/requirements-flashattention.txt | 2 +- 3 files changed, 7 insertions(+), 38 deletions(-) diff --git a/Dockerfile b/Dockerfile index 570c95f2a..6a83fc0d4 100644 --- a/Dockerfile +++ b/Dockerfile @@ -12,7 +12,7 @@ # See the License for the specific language governing permissions and # limitations under the License. -FROM nvidia/cuda:12.1.1-devel-ubuntu22.04 +FROM nvcr.io/nvidia/pytorch:24.02-py3 ENV DEBIAN_FRONTEND=noninteractive @@ -21,7 +21,7 @@ LABEL org.opencontainers.image.version = "2.0" LABEL org.opencontainers.image.authors = "contact@eleuther.ai" LABEL org.opencontainers.image.source = "https://www.github.com/eleutherai/gpt-neox" LABEL org.opencontainers.image.licenses = " Apache-2.0" -LABEL org.opencontainers.image.base.name="docker.io/nvidia/cuda:12.1.1-devel-ubuntu22.04" +LABEL org.opencontainers.image.base.name="nvcr.io/nvidia/pytorch:24.02-py3" #### System package (uses default Python 3 version in Ubuntu 20.04) RUN apt-get update -y && \ @@ -48,21 +48,6 @@ RUN mkdir /var/run/sshd && \ # Expose SSH port EXPOSE 22 -#### OPENMPI -ENV OPENMPI_BASEVERSION=4.1 -ENV OPENMPI_VERSION=${OPENMPI_BASEVERSION}.0 -RUN mkdir -p /build && \ - cd /build && \ - wget -q -O - https://download.open-mpi.org/release/open-mpi/v${OPENMPI_BASEVERSION}/openmpi-${OPENMPI_VERSION}.tar.gz | tar xzf - && \ - cd openmpi-${OPENMPI_VERSION} && \ - ./configure --prefix=/usr/local/openmpi-${OPENMPI_VERSION} && \ - make -j"$(nproc)" install && \ - ln -s /usr/local/openmpi-${OPENMPI_VERSION} /usr/local/mpi && \ - # Sanity check: - test -f /usr/local/mpi/bin/mpic++ && \ - cd ~ && \ - rm -rf /build - # Needs to be in docker PATH if compiling other items & bashrc PATH (later) ENV PATH=/usr/local/mpi/bin:${PATH} \ LD_LIBRARY_PATH=/usr/local/lib:/usr/local/mpi/lib:/usr/local/mpi/lib64:${LD_LIBRARY_PATH} @@ -88,29 +73,14 @@ RUN mkdir -p /home/mchorse/.ssh /job && \ echo 'export LD_LIBRARY_PATH=/usr/local/lib:/usr/local/mpi/lib:/usr/local/mpi/lib64:$LD_LIBRARY_PATH' >> /home/mchorse/.bashrc #### Python packages -RUN python -m pip install --no-cache-dir torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121 COPY requirements/* ./ RUN python -m pip install --no-cache-dir -r requirements.txt && pip install -r requirements-onebitadam.txt RUN python -m pip install -r requirements-sparseattention.txt RUN python -m pip install -r requirements-flashattention.txt RUN python -m pip install -r requirements-wandb.txt RUN python -m pip install protobuf==3.20.* -RUN python -m pip cache purge - -## Install APEX -# Detect the architecture and install Apex accordingly -RUN ARCH=$(uname -m) && \ - if [ "$ARCH" = "x86_64" ]; then \ - wget https://github.com/segyges/not-nvidia-apex/releases/download/jan-2024/apex-0.1-cp310-cp310-linux_x86_64.zip && \ - unzip ./apex-0.1-cp310-cp310-linux_x86_64.zip && \ - python -m pip install ./apex-0.1-cp310-cp310-linux_x86_64.whl; \ - else \ - # Install Apex directly from source for other architectures - python -m pip install -r requirements-apex-pip.txt && \ - python -m pip install -v --disable-pip-version-check --no-cache-dir --no-build-isolation --config-settings --global-option=--cpp_ext --config-settings --global-option=--cuda_ext git+https://github.com/NVIDIA/apex.git@141bbf1cf362d4ca4d94f4284393e91dda5105a5; \ - fi -COPY megatron/fused_kernels/ megatron/fused_kernels +COPY megatron/fused_kernels/ /megatron/fused_kernels WORKDIR /megatron/fused_kernels RUN python setup.py install diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index be1fd7905..edf7f83c5 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -1058,7 +1058,7 @@ Text Generation arguments - **prompt_end**: str - Default = + Default = a single prompt's end. Defaults to newline @@ -1100,7 +1100,7 @@ Text Generation arguments - **eval_results_prefix**: str - Default = + Default = prefix to which to save evaluation results - final fp will be {eval_results_prefix}_eval_results_yy-mm-dd-HH-MM.json @@ -1844,7 +1844,7 @@ Args for deepspeed config Default = None - + @@ -2144,4 +2144,3 @@ Args for deepspeed runner (deepspeed.launcher.runner). Default = None Adds a `--account` to the DeepSpeed launch command. In DeeperSpeed this is passed on to the SlurmLauncher as well. Sometimes necessary for cluster rules, or so I've heard. - diff --git a/requirements/requirements-flashattention.txt b/requirements/requirements-flashattention.txt index 8cebdaa50..a004e8075 100644 --- a/requirements/requirements-flashattention.txt +++ b/requirements/requirements-flashattention.txt @@ -1 +1 @@ -flash-attn==2.2.1 +flash-attn==2.5.6 From 7b8187aa8d3958e171c9839fbf371c8f6cf171f0 Mon Sep 17 00:00:00 2001 From: Colin Date: Mon, 4 Mar 2024 11:35:32 -0500 Subject: [PATCH 57/99] Remove unnecessary fp32/bf16 conversion (#1169) * feat: remove unnecessary bf16 conversions since no collective op is performed * pre-commit --------- Co-authored-by: Quentin Anthony --- megatron/mpu/mappings.py | 9 --------- 1 file changed, 9 deletions(-) diff --git a/megatron/mpu/mappings.py b/megatron/mpu/mappings.py index e09462eca..535fe6255 100644 --- a/megatron/mpu/mappings.py +++ b/megatron/mpu/mappings.py @@ -57,11 +57,6 @@ def _split(input_): if world_size == 1: return input_ - # Bf16 convert - dt = input_.dtype - if dt == torch.bfloat16 and get_fp32_allreduce(): - input_ = input_.float() - # Split along last dimension. input_list = split_tensor_along_last_dim(input_, world_size) @@ -69,10 +64,6 @@ def _split(input_): rank = get_model_parallel_rank() output = input_list[rank].contiguous() - # Bf16 convert - if dt == torch.bfloat16 and get_fp32_allreduce(): - output = output.bfloat16() - return output From 31cfe521336ed16448948f05b71d87650ddcb4d0 Mon Sep 17 00:00:00 2001 From: Quentin Anthony Date: Mon, 4 Mar 2024 11:45:22 -0500 Subject: [PATCH 58/99] Ignore markdown for pre-commit (#1171) * ignore markdown for pre-commit * only ignore end of file and trailing whitespace * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions --- .pre-commit-config.yaml | 3 ++- configs/neox_arguments.md | 9 +++++---- 2 files changed, 7 insertions(+), 5 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 0eaf9b13c..7de35027a 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -8,7 +8,7 @@ repos: - id: check-yaml - id: destroyed-symlinks - id: end-of-file-fixer - exclude: docs/CNAME + exclude: ^(docs/CNAME/|configs/neox_arguments.md) - id: fix-byte-order-marker - id: fix-encoding-pragma args: [--remove] @@ -16,6 +16,7 @@ repos: args: [--fix=lf] - id: requirements-txt-fixer - id: trailing-whitespace + exclude: ^(docs/CNAME/|configs/neox_arguments.md) - repo: https://gitlab.com/daverona/pre-commit/cpp rev: 0.8.0 hooks: diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index edf7f83c5..58764e1fb 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 11a2e9b + Default = b804ee8 current git hash of repository @@ -1058,7 +1058,7 @@ Text Generation arguments - **prompt_end**: str - Default = + Default = a single prompt's end. Defaults to newline @@ -1100,7 +1100,7 @@ Text Generation arguments - **eval_results_prefix**: str - Default = + Default = prefix to which to save evaluation results - final fp will be {eval_results_prefix}_eval_results_yy-mm-dd-HH-MM.json @@ -1844,7 +1844,7 @@ Args for deepspeed config Default = None - + @@ -2144,3 +2144,4 @@ Args for deepspeed runner (deepspeed.launcher.runner). Default = None Adds a `--account` to the DeepSpeed launch command. In DeeperSpeed this is passed on to the SlurmLauncher as well. Sometimes necessary for cluster rules, or so I've heard. + From e109bf5e068bd64bfd08e5ade4191a7ba3e796e3 Mon Sep 17 00:00:00 2001 From: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com> Date: Mon, 4 Mar 2024 11:50:07 -0500 Subject: [PATCH 59/99] Make rotary freqs buffer non-persistent (#1168) * make inv_freq non-persistent by default * Update NeoXArgs docs automatically * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions Co-authored-by: Quentin Anthony --- configs/neox_arguments.md | 14 ++++++++- megatron/model/positional_embeddings.py | 8 +++-- megatron/model/transformer.py | 1 + megatron/neox_arguments/neox_args.py | 9 ++++++ tools/ckpts/convert_neox_to_hf.py | 8 ----- .../convert_raw_llama_weights_to_neox.py | 30 ------------------- 6 files changed, 28 insertions(+), 42 deletions(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 58764e1fb..c7867c2cc 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = b804ee8 + Default = 2a3c4e1 current git hash of repository @@ -601,6 +601,18 @@ Model Arguments +- **rotary_save_freqs_buffer**: bool + + Default = False + + Used to control whether the `inv_freqs` buffer in rotary embeddings + will be stored in checkpoints (persistent=True) or not. + + Defaults to false, but is left configurable to maintain backward-compatibility + with GPT-NeoX checkpoints that were trained with this flag. + + + - **init_method**: typing.Literal['normal', 'scaled_normal', 'orthogonal', 'scaled_orthogonal', 'xavier_uniform', 'xavier_normal', 'wang_init', 'small_init'] Default = normal diff --git a/megatron/model/positional_embeddings.py b/megatron/model/positional_embeddings.py index 16cd22ad8..fcded9e96 100644 --- a/megatron/model/positional_embeddings.py +++ b/megatron/model/positional_embeddings.py @@ -36,10 +36,12 @@ def forward(self, x, seq_dim=1): class RotaryEmbedding(torch.nn.Module): - def __init__(self, dim, max_seq_len, base=10000, precision=torch.half): + def __init__( + self, dim, max_seq_len, base=10000, precision=torch.half, save_inv_freqs=False + ): super().__init__() inv_freq = 1.0 / (base ** (torch.arange(0, dim, 2).float() / dim)) - self.register_buffer("inv_freq", inv_freq) + self.register_buffer("inv_freq", inv_freq, persistent=save_inv_freqs) self.seq_len_cached = None self.cos_cached = None self.sin_cached = None @@ -53,7 +55,7 @@ def __init__(self, dim, max_seq_len, base=10000, precision=torch.half): max_seq_len, precision, base ) - self.register_buffer("inv_freq", inv_freq) + self.register_buffer("inv_freq", inv_freq, persistent=save_inv_freqs) self.cos_cached = cos_cached self.sin_cached = sin_cached diff --git a/megatron/model/transformer.py b/megatron/model/transformer.py index f039126b9..d7c25c661 100644 --- a/megatron/model/transformer.py +++ b/megatron/model/transformer.py @@ -385,6 +385,7 @@ def __init__( base=neox_args.rotary_emb_base, max_seq_len=neox_args.seq_length, precision=neox_args.params_dtype, + save_inv_freqs=neox_args.rotary_save_freqs_buffer, ) else: self.rotary_emb = None diff --git a/megatron/neox_arguments/neox_args.py b/megatron/neox_arguments/neox_args.py index 76da42a43..4ea7f5a7e 100644 --- a/megatron/neox_arguments/neox_args.py +++ b/megatron/neox_arguments/neox_args.py @@ -330,6 +330,15 @@ class NeoXArgsModel(NeoXArgsTemplate): Base for rotary positional embedding """ + rotary_save_freqs_buffer: bool = False + """ + Used to control whether the `inv_freqs` buffer in rotary embeddings + will be stored in checkpoints (persistent=True) or not. + + Defaults to false, but is left configurable to maintain backward-compatibility + with GPT-NeoX checkpoints that were trained with this flag. + """ + init_method: Literal[ "normal", "scaled_normal", diff --git a/tools/ckpts/convert_neox_to_hf.py b/tools/ckpts/convert_neox_to_hf.py index 6ad67f208..1d3e2c1f0 100644 --- a/tools/ckpts/convert_neox_to_hf.py +++ b/tools/ckpts/convert_neox_to_hf.py @@ -520,14 +520,6 @@ def convert( ) # Just take one - if "attention.rotary_emb.inv_freq" in hf_layer.state_dict(): - state_dict["attention.rotary_emb.inv_freq"] = get_state( - loaded_tp_ranks, - "attention.rotary_emb.inv_freq", - layer_idx=layer_i + 2, - sequential=sequential, - )[0] - if "attention.bias" in hf_layer.state_dict(): state_dict["attention.bias"] = hf_layer.state_dict()["attention.bias"] if "attention.masked_bias" in hf_layer.state_dict(): diff --git a/tools/ckpts/convert_raw_llama_weights_to_neox.py b/tools/ckpts/convert_raw_llama_weights_to_neox.py index a28f1d0fb..b7435f010 100644 --- a/tools/ckpts/convert_raw_llama_weights_to_neox.py +++ b/tools/ckpts/convert_raw_llama_weights_to_neox.py @@ -158,20 +158,6 @@ def permute_rotary(w): pbar.update(1) # Layers - if model_size == "7B": - rope_freqs = loaded[0]["layers.0.attention.inner_attention.rope.freqs"] - helper.del_loaded("layers.0.attention.inner_attention.rope.freqs") - elif "mistral" in model_size: - # mistral does not include rope freqs in the distributed checkpoint, unlike llama. - # rather than making this buffer always non-persistent on the NeoX side, - # just create and save it for Mistral. - base = 10000.0 - rope_freqs = 1.0 / ( - base ** (torch.arange(0, dims_per_head, 2).float() / dims_per_head) - ) - else: - rope_freqs = loaded[0]["rope.freqs"] - helper.del_loaded("rope.freqs") for layer_i in range(num_layers): # Linear @@ -293,7 +279,6 @@ def permute_rotary(w): # Duplicated layers "input_layernorm.scale": input_layernorm, "post_attention_layernorm.scale": post_attention_layernorm, - "attention.rotary_emb.inv_freq": rope_freqs, }, layer_i=layer_i + 2, rank=out_rank, @@ -409,20 +394,6 @@ def permute_rotary(w): helper.del_loaded("output.weight") # Layers - if model_size == "7B": - rope_freqs = loaded[0]["layers.0.attention.inner_attention.rope.freqs"] - helper.del_loaded("layers.0.attention.inner_attention.rope.freqs") - elif "mistral" in model_size: - # mistral does not include rope freqs in the distributed checkpoint, unlike llama. - # rather than making this buffer always non-persistent on the NeoX side, - # just create and save it for Mistral. - base = 10000.0 - rope_freqs = 1.0 / ( - base ** (torch.arange(0, dims_per_head, 2).float() / dims_per_head) - ) - else: - rope_freqs = loaded[0]["rope.freqs"] - helper.del_loaded("rope.freqs") for layer_i in range(num_layers): # Linear @@ -546,7 +517,6 @@ def permute_rotary(w): # Duplicated layers "input_layernorm.scale": input_layernorm, "post_attention_layernorm.scale": post_attention_layernorm, - "attention.rotary_emb.inv_freq": rope_freqs, }, layer_i=layer_i + 2, rank=out_rank, From df8cf244be4b73d3c6d50cd610f4b1a57af0c678 Mon Sep 17 00:00:00 2001 From: Colin Date: Mon, 4 Mar 2024 11:58:16 -0500 Subject: [PATCH 60/99] Support Lion with Zero Optimizer (#1166) * feat: deepspeed zero lion support * feat: bump DeeperSpeed version to one that includes DeepSpeed FusedLion * feat: bump DeeperSpeed version to include pipeline logging fix * pre-commit --------- Co-authored-by: Quentin Anthony --- megatron/training.py | 13 +++++++++++-- requirements/requirements.txt | 2 +- 2 files changed, 12 insertions(+), 3 deletions(-) diff --git a/megatron/training.py b/megatron/training.py index abea4b726..aa7025c25 100644 --- a/megatron/training.py +++ b/megatron/training.py @@ -538,9 +538,18 @@ def get_optimizer(model, neox_args): **neox_args.optimizer["params"], ) elif neox_args.optimizer_type.lower() == "lion": - from .optimizers import Lion + # if we want the deepspeed zero lion...megatron lion will throw DeepSpeed Error + if neox_args.zero_optimization["stage"] != 0: + from deepspeed.ops.lion import FusedLion - optimizer = Lion( + lion_optimizer = FusedLion + # if not zero + else: + from .optimizers import Lion + + lion_optimizer = Lion + + optimizer = lion_optimizer( param_groups, weight_decay=neox_args.weight_decay, **neox_args.optimizer["params"], diff --git a/requirements/requirements.txt b/requirements/requirements.txt index 6247ece3d..538cc21f9 100644 --- a/requirements/requirements.txt +++ b/requirements/requirements.txt @@ -1,5 +1,5 @@ best_download -git+https://github.com/EleutherAI/DeeperSpeed.git@b9260436e7da3e297fc6bedfd27d9e69fbba6f5c#egg=deepspeed +git+https://github.com/EleutherAI/DeeperSpeed.git@02e2ebf7dee6aaab3d89094ed470a4609763c742#egg=deepspeed ftfy>=6.0.1 git+https://github.com/EleutherAI/lm_dataformat.git@4eec05349977071bf67fc072290b95e31c8dd836 huggingface_hub>=0.11.0 From 86758c350bff4a06beefe859b4a27a5bc930facf Mon Sep 17 00:00:00 2001 From: yang <7129+yang@users.noreply.github.com> Date: Wed, 6 Mar 2024 21:11:45 -0800 Subject: [PATCH 61/99] Add MoE (#1129) * Add DeepSpeed MoE Thanks to dayofthepenguin for extensive testing Closes https://github.com/EleutherAI/gpt-neox/issues/479 * Update NeoXArgs docs automatically * pre-commit * Update NeoXArgs docs automatically --------- Co-authored-by: Yang Zhang Co-authored-by: github-actions Co-authored-by: Quentin Anthony --- configs/125M-moe.yml | 103 ++++++++++++++++++++++++ configs/neox_arguments.md | 98 ++++++++++++++++++++++- megatron/model/transformer.py | 113 +++++++++++++++++++++------ megatron/model/utils.py | 14 +++- megatron/mpu/__init__.py | 3 + megatron/mpu/initialize.py | 32 ++++++++ megatron/mpu/layers.py | 8 +- megatron/neox_arguments/arguments.py | 9 ++- megatron/neox_arguments/neox_args.py | 60 ++++++++++++++ megatron/training.py | 25 +++++- 10 files changed, 434 insertions(+), 31 deletions(-) create mode 100644 configs/125M-moe.yml diff --git a/configs/125M-moe.yml b/configs/125M-moe.yml new file mode 100644 index 000000000..27ebf216b --- /dev/null +++ b/configs/125M-moe.yml @@ -0,0 +1,103 @@ +# GPT-2 pretraining setup +{ + # Have 4 experts per layer (every 2 layers by default) + # So with 12 layers total: + # 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 + # Experts would be in layers: + # 0, 2, 4, 6, 8, 10 + "num_experts": 4, + + # parallelism settings ( you will want to change these based on your cluster setup, ideally scheduling pipeline stages + # across the node boundaries ) + "pipe_parallel_size": 1, + "model_parallel_size": 1, + "moe_expert_parallel_size": 1, + + # model settings + "num_layers": 12, + "hidden_size": 768, + "num_attention_heads": 12, + "seq_length": 2048, + "max_position_embeddings": 2048, + "norm": "layernorm", + "pos_emb": "rotary", + "no_weight_tying": true, + "gpt_j_residual": false, + "output_layer_parallelism": "column", + + # these should provide some speedup but takes a while to build, set to true if desired + "scaled_upper_triang_masked_softmax_fusion": false, + "bias_gelu_fusion": false, + "rope_fusion": false, + + # init methods + "init_method": "small_init", + "output_layer_init_method": "wang_init", + + + # optimizer settings + "optimizer": { + "type": "Adam", + "params": { + "lr": 0.0006, + "betas": [0.9, 0.95], + "eps": 1.0e-8, + } + }, + "min_lr": 0.00006, + + # for all zero_optimization options, see https://www.deepspeed.ai/docs/config-json/#zero-optimizations-for-fp16-training + "zero_optimization": { + "stage": 1, + "allgather_partitions": True, + "allgather_bucket_size": 500000000, + "overlap_comm": True, + "reduce_scatter": True, + "reduce_bucket_size": 500000000, + "contiguous_gradients": True, + }, + + # batch / data settings + "train_micro_batch_size_per_gpu": 4, + "data_impl": "mmap", + + # activation checkpointing + "checkpoint_activations": true, + "checkpoint_num_layers": 1, + "partition_activations": true, + "synchronize_each_layer": true, + + # regularization + "gradient_clipping": 1.0, + "weight_decay": 0.1, + "hidden_dropout": 0.0, + "attention_dropout": 0.0, + + # precision settings + "fp16": { + "enabled": true, + "loss_scale": 0, + "loss_scale_window": 1000, + "hysteresis": 2, + "min_loss_scale": 1 + }, + + # misc. training settings + "train_iters": 320000, + "lr_decay_iters": 320000, + "distributed_backend": "nccl", + "lr_decay_style": "cosine", + "warmup": 0.01, + "checkpoint_factor": 10000, + "eval_interval": 1000, + "eval_iters": 10, + + # logging + "log_interval": 10, + "steps_per_print": 10, + "keep_last_n_checkpoints": 4, + "wall_clock_breakdown": true, + + # networking + "hostfile": "/mock_path" +} diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index c7867c2cc..5f2716455 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 2a3c4e1 + Default = ae06be5 current git hash of repository @@ -1007,6 +1007,14 @@ Parallelism Arguments +- **expert_interval**: int + + Default = 2 + + Have one MoE layer every expert_interval layers + + + ## NeoXArgsTemplate NeoXArgsTemplate() @@ -1128,6 +1136,94 @@ Text Generation arguments +- **moe_top_k**: int + + Default = 1 + + Activate top K experts in MoE + + + +- **use_tutel**: bool + + Default = False + + Use Tutel optimizations in MoE + + + +- **num_experts**: int + + Default = 1 + + Number of MoE experts + + + +- **moe_loss_coeff**: float + + Default = 0.1 + + Coefficient for MoE loss + + + +- **moe_train_capacity_factor**: float + + Default = 1.0 + + The capacity of the expert at train time + + + +- **moe_eval_capacity_factor**: float + + Default = 1.0 + + The capacity of the expert at eval time + + + +- **moe_min_capacity**: int + + Default = 4 + + The minimum capacity per expert regardless of the capacity_factor + + + +- **moe_token_dropping**: bool + + Default = True + + Whether to drop tokens when exceeding capacity + + + +- **create_moe_param_group**: bool + + Default = True + + Whether to create a separate parameter group for MoE parameters + + + +- **moe_use_residual**: bool + + Default = True + + Whether to use residual in MoE + + + +- **moe_expert_parallel_size**: int + + Default = 1 + + Number of parallel experts in MoE + + + ## NeoXArgsTokenizer Tokenizer Arguments diff --git a/megatron/model/transformer.py b/megatron/model/transformer.py index d7c25c661..b1be42943 100644 --- a/megatron/model/transformer.py +++ b/megatron/model/transformer.py @@ -43,6 +43,7 @@ bias_dropout_add_fused_inference, ) from megatron.model.utils import configure_sparse_attention +from deepspeed.moe.layer import MoE # flags required to enable jit fusion kernels torch._C._jit_set_profiling_mode(False) @@ -84,7 +85,13 @@ class ParallelMLP(nn.Module): """ def __init__( - self, neox_args, init_method, output_layer_init_method, parallel_output=False + self, + neox_args, + init_method, + output_layer_init_method, + parallel_output=False, + MOE=False, + MoE_mp_size=1, ): super().__init__() @@ -106,6 +113,8 @@ def __init__( gather_output=False, init_method=init_method, skip_bias_add=True, + MOE=MOE, + MoE_mp_size=MoE_mp_size, ) ff_dim_in = ff_dim // 2 if self.activation_type == "geglu" else ff_dim # Project back to h. @@ -115,8 +124,10 @@ def __init__( output_size=neox_args.hidden_size, input_is_parallel=True, init_method=output_layer_init_method, - skip_bias_add=True, parallel_output=parallel_output, + skip_bias_add=True, + MOE=MOE, + MoE_mp_size=MoE_mp_size, ) def forward(self, hidden_states): @@ -158,6 +169,8 @@ def __init__( output_layer_init_method, parallel_output=False, multiple_of=256, + MOE=False, + MoE_mp_size=1, ): super().__init__() @@ -181,6 +194,8 @@ def __init__( init_method=init_method, skip_bias_add=True, bias=False, + MOE=MOE, + MoE_mp_size=MoE_mp_size, ) self.w3 = mpu.ColumnParallelLinear( neox_args=neox_args, @@ -190,6 +205,8 @@ def __init__( init_method=init_method, skip_bias_add=True, bias=False, + MOE=MOE, + MoE_mp_size=MoE_mp_size, ) self.w2 = mpu.RowParallelLinear( neox_args=neox_args, @@ -200,6 +217,8 @@ def __init__( skip_bias_add=True, parallel_output=parallel_output, bias=False, + MOE=MOE, + MoE_mp_size=MoE_mp_size, ) def forward(self, hidden_states): @@ -956,22 +975,59 @@ def __init__( self.post_attention_layernorm = norm(neox_args.hidden_size, eps=eps) # MLP - if neox_args.mlp_type == "regular": - self.mlp = ParallelMLP( - neox_args=neox_args, - init_method=init_method, - output_layer_init_method=output_layer_init_method, - parallel_output=self.gpt_j_residual, - ) - elif neox_args.mlp_type == "llama": - self.mlp = LLaMAParallelMLP( - neox_args=neox_args, - init_method=init_method, - output_layer_init_method=output_layer_init_method, - parallel_output=self.gpt_j_residual, - ) + def get_mlp(mlp_type, **kw): + if mlp_type == "regular": + return ParallelMLP( + neox_args=neox_args, + init_method=init_method, + output_layer_init_method=output_layer_init_method, + parallel_output=self.gpt_j_residual, + **kw, + ) + elif mlp_type == "llama": + return LLaMAParallelMLP( + neox_args=neox_args, + init_method=init_method, + output_layer_init_method=output_layer_init_method, + parallel_output=self.gpt_j_residual, + **kw, + ) + else: + raise KeyError(mlp_type) + + self.num_experts = ( + neox_args.num_experts + if layer_number % neox_args.expert_interval == 0 + else 1 + ) + args = neox_args + if self.num_experts <= 1: + self.mlp = get_mlp(neox_args.mlp_type) else: - raise KeyError(neox_args.mlp_type) + from torch import distributed as dist + + if self.num_experts > dist.get_world_size(): + moe_mp_size = 1 + else: + moe_mp_size = dist.get_world_size() // self.num_experts + + self.mlp = MoE( + args.hidden_size, + get_mlp( + "regular", + MOE=True, + MoE_mp_size=moe_mp_size, + ), + num_experts=self.num_experts, + ep_size=args.moe_expert_parallel_size, + k=args.moe_top_k, + use_residual=args.moe_use_residual, + capacity_factor=args.moe_train_capacity_factor, + eval_capacity_factor=args.moe_eval_capacity_factor, + min_capacity=args.moe_min_capacity, + drop_tokens=args.moe_token_dropping, + use_tutel=args.use_tutel, + ) self.layer_past = None # used to cache k/v pairs in inference @@ -1069,12 +1125,22 @@ def forward(self, x, attention_mask, layer_past=None): ) # output = x + mlp(ln2(x)) - mlp_output, mlp_bias = self.mlp( - self.post_attention_layernorm(attention_output) + layernorm_output = self.post_attention_layernorm(attention_output) + moe_loss = torch.tensor( + 0.0, device=layernorm_output.device, dtype=layernorm_output.dtype ) + mlp_bias = torch.tensor( + 0.0, device=layernorm_output.device, dtype=layernorm_output.dtype + ) + + if self.num_experts == 1: + mlp_output, mlp_bias = self.mlp(layernorm_output) + else: + mlp_output, moe_loss, _ = self.mlp(layernorm_output) + mlp_bias = None # deepspeed.moe.layer.MoE.forward ignores the bias term with torch.enable_grad(): - if self.mlp_type == "llama": + if self.mlp_type == "llama" or self.num_experts > 1: # No dropout either assert mlp_bias is None output = mlp_output + attention_output @@ -1086,7 +1152,7 @@ def forward(self, x, attention_mask, layer_past=None): prob=self.hidden_dropout, ) - return output + return output, moe_loss class ParallelTransformerLayerPipe(ParallelTransformerLayer): @@ -1098,7 +1164,10 @@ def forward(self, args): ), "ParallelTransformerLayerPipe expects 2 arguments - hidden_states and attention_mask" hidden_states, attention_mask = args # we are returning just [hidden_states, mask] - return super().forward(hidden_states, attention_mask), attention_mask + output, moe_loss = super().forward(hidden_states, attention_mask) + # auxiliary output + self.last_moe_loss = moe_loss + return output, attention_mask class ParallelLinearPipe(ParallelLinear): diff --git a/megatron/model/utils.py b/megatron/model/utils.py index 990d9e69c..95a6c48c9 100644 --- a/megatron/model/utils.py +++ b/megatron/model/utils.py @@ -28,8 +28,12 @@ def get_params_for_weight_decay_optimization(module, neox_args): """Divide params into with-weight-decay and without-weight-decay groups. Layernorms and biases will have no weight decay but the rest will. """ - weight_decay_params = {"params": []} - no_weight_decay_params = {"params": [], "weight_decay": 0.0} + weight_decay_params = {"params": [], "name": "weight_decay_params"} + no_weight_decay_params = { + "params": [], + "weight_decay": 0.0, + "name": "no_weight_decay_params", + } for module_ in module.modules(): if any( [ @@ -162,6 +166,8 @@ def forward( ].contiguous() forward_input = (tokens, input_ids, attention_mask) + moe_losses = [] + def exec_range_func(start, end): """Helper function to be used with checkpoint() Adapted from torch.utils.checkpoint:checkpoint_sequential() @@ -173,6 +179,8 @@ def exec_func(*inputs): inputs = inputs[0] for idx, layer in enumerate(self.sequential[start:end]): inputs = layer(inputs) + if hasattr(layer, "last_moe_loss"): + moe_losses.append(layer.last_moe_loss) return inputs return exec_func @@ -200,7 +208,7 @@ def exec_func(*inputs): ) else: x = exec_range_func(start_idx, end_idx)(*x) - return x + return x, moe_losses def clear_cache(self): """ diff --git a/megatron/mpu/__init__.py b/megatron/mpu/__init__.py index 81e329e68..2365507d9 100644 --- a/megatron/mpu/__init__.py +++ b/megatron/mpu/__init__.py @@ -31,6 +31,9 @@ from .initialize import get_pipe_parallel_group from .initialize import get_pipe_parallel_rank from .initialize import get_pipe_parallel_world_size +from .initialize import get_tensor_model_parallel_group +from .initialize import get_tensor_model_parallel_rank +from .initialize import get_tensor_model_parallel_world_size from .initialize import get_io_parallel_group from .initialize import initialize_model_parallel from .initialize import model_parallel_is_initialized diff --git a/megatron/mpu/initialize.py b/megatron/mpu/initialize.py index aba33395b..19d231524 100644 --- a/megatron/mpu/initialize.py +++ b/megatron/mpu/initialize.py @@ -266,6 +266,38 @@ def get_pipe_parallel_world_size(): return torch.distributed.get_world_size(group=get_pipe_parallel_group()) +def set_tensor_model_parallel_world_size(world_size): + """Set the tensor model parallel size""" + set_model_parallel_world_size(world_size) + + +def get_tensor_model_parallel_group(): + """Get the tensor model parallel group the caller rank belongs to.""" + return get_model_parallel_group() + + +def get_tensor_model_parallel_src_rank(): + """Calculate the global rank corresponding to the first local rank + in the tensor model parallel group.""" + return get_model_parallel_rank() + + +# Needed for MOE. True tensor parallelism todo. +def get_tensor_model_parallel_world_size(): + """Return world size for the tensor model parallel group.""" + return get_model_parallel_world_size() + + +def set_tensor_model_parallel_rank(rank): + """Set tensor model parallel rank.""" + set_model_parallel_rank(rank) + + +def get_tensor_model_parallel_rank(): + """Return my rank for the tensor model parallel group.""" + return get_model_parallel_rank() + + def destroy_model_parallel(): """Set the groups to none.""" global _MODEL_PARALLEL_GROUP diff --git a/megatron/mpu/layers.py b/megatron/mpu/layers.py index 19dff0b5f..0d14806ac 100644 --- a/megatron/mpu/layers.py +++ b/megatron/mpu/layers.py @@ -413,6 +413,8 @@ def __init__( stride=1, keep_master_weight_for_test=False, skip_bias_add=False, + MOE=False, + MoE_mp_size=1, mup_rescale_parameters=False, ): super(ColumnParallelLinear, self).__init__() @@ -422,7 +424,7 @@ def __init__( self.output_size = output_size self.gather_output = gather_output # Divide the weight matrix along the last dimension. - world_size = get_model_parallel_world_size() + world_size = MoE_mp_size if MOE else get_model_parallel_world_size() self.output_size_per_partition = divide(output_size, world_size) self.skip_bias_add = skip_bias_add self.init_method = init_method @@ -605,6 +607,8 @@ def __init__( stride=1, keep_master_weight_for_test=False, skip_bias_add=False, + MOE=False, + MoE_mp_size=1, parallel_output=False, mup_rescale_parameters=False, ): @@ -615,7 +619,7 @@ def __init__( self.output_size = output_size self.input_is_parallel = input_is_parallel # Divide the weight matrix along the last dimension. - world_size = get_model_parallel_world_size() + world_size = MoE_mp_size if MOE else get_model_parallel_world_size() self.input_size_per_partition = divide(input_size, world_size) self.skip_bias_add = skip_bias_add self.parallel_output = parallel_output diff --git a/megatron/neox_arguments/arguments.py b/megatron/neox_arguments/arguments.py index ca68100a5..a5f47bb7c 100644 --- a/megatron/neox_arguments/arguments.py +++ b/megatron/neox_arguments/arguments.py @@ -1033,7 +1033,14 @@ def calculate_derived(self): # Update 'is pipe parallel' flag # if we set pipe_parallel_size to 0 or 1, GPT2ModelPipe.to_sequential() is called, and we run training with # the sequential model without the PipelineModule wrapper to avoid the overhead it incurs - self.update_value("is_pipe_parallel", self.pipe_parallel_size >= 1) + self.update_value( + "is_pipe_parallel", self.pipe_parallel_size > 1 and self.num_experts == 1 + ) + if self.num_experts > 1: + assert not ( + self.is_pipe_parallel or self.pipe_parallel_size > 1 + ), "MoE not supported with pipeline parallelism" + assert self.zero_optimization["stage"] != 3, "MoE not compatible with zero3" # Attention config if self.attention_config is None: diff --git a/megatron/neox_arguments/neox_args.py b/megatron/neox_arguments/neox_args.py index 4ea7f5a7e..0e951c811 100644 --- a/megatron/neox_arguments/neox_args.py +++ b/megatron/neox_arguments/neox_args.py @@ -83,6 +83,11 @@ class NeoXArgsParallelism(NeoXArgsTemplate): according to pipeline parallel size. """ + expert_interval: int = 2 + """ + Have one MoE layer every expert_interval layers + """ + @dataclass class NeoXArgsModel(NeoXArgsTemplate): @@ -1225,3 +1230,58 @@ class NeoXArgsTextgen(NeoXArgsTemplate): NOTE: Requires internet connection """ + + moe_top_k: int = 1 + """ + Activate top K experts in MoE + """ + + use_tutel: bool = False + """ + Use Tutel optimizations in MoE + """ + + num_experts: int = 1 + """ + Number of MoE experts + """ + + moe_loss_coeff: float = 0.1 + """ + Coefficient for MoE loss + """ + + moe_train_capacity_factor: float = 1.0 + """ + The capacity of the expert at train time + """ + + moe_eval_capacity_factor: float = 1.0 + """ + The capacity of the expert at eval time + """ + + moe_min_capacity: int = 4 + """ + The minimum capacity per expert regardless of the capacity_factor + """ + + moe_token_dropping: bool = True + """ + Whether to drop tokens when exceeding capacity + """ + + create_moe_param_group: bool = True + """ + Whether to create a separate parameter group for MoE parameters + """ + + moe_use_residual: bool = True + """ + Whether to use residual in MoE + """ + + moe_expert_parallel_size: int = 1 + """ + Number of parallel experts in MoE + """ diff --git a/megatron/training.py b/megatron/training.py index aa7025c25..98404c4ea 100644 --- a/megatron/training.py +++ b/megatron/training.py @@ -387,7 +387,13 @@ def forward_step( if neox_args.memory_profiling: torch.cuda.nvtx.range_push(f"Forward pass") - outputs = model((tokens, position_ids, attention_mask), neox_args=neox_args) + # Sequential returns moe_losses, but this is not yet supported by pipe parallel + maybe_tuple = model((tokens, position_ids, attention_mask), neox_args=neox_args) + if type(maybe_tuple) is tuple: + outputs, moe_losses = maybe_tuple + else: + outputs = maybe_tuple + moe_losses = [] if ( is_train and neox_args.curriculum_learning @@ -395,9 +401,14 @@ def forward_step( ): loss_mask = loss_mask[:, : neox_args.curriculum_seqlen].contiguous() labels = labels[:, : neox_args.curriculum_seqlen].contiguous() - loss = cross_entropy( + main_loss = cross_entropy( outputs, (labels, loss_mask), _fp16=neox_args.fp16_lm_cross_entropy ) + if neox_args.num_experts > 1: + moe_loss = neox_args.moe_loss_coeff * sum(m.item() for m in moe_losses) + else: + moe_loss = 0.0 + loss = main_loss + moe_loss if neox_args.memory_profiling: torch.cuda.nvtx.range_pop() if return_logits: @@ -489,6 +500,16 @@ def get_optimizer(model, neox_args): f'Configuring Optimizer type: {neox_args.optimizer_type} with params: {neox_args.optimizer["params"]}' ) + if neox_args.create_moe_param_group: + from deepspeed.moe.utils import ( + is_moe_param, + split_params_into_different_moe_groups_for_optimizer, + ) + + param_groups = split_params_into_different_moe_groups_for_optimizer( + param_groups + ) + # Add model parallel attribute if it is not set. for param_group in param_groups: for param in param_group["params"]: From 63b9fa19a66f48ac75bd01f6462a776a42a16d14 Mon Sep 17 00:00:00 2001 From: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com> Date: Fri, 8 Mar 2024 14:31:56 -0500 Subject: [PATCH 62/99] remove `best_download` as dependency (#1179) * Update requirements.txt * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions --- configs/neox_arguments.md | 2 +- requirements/requirements.txt | 1 - 2 files changed, 1 insertion(+), 2 deletions(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 5f2716455..6fa514117 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = ae06be5 + Default = e6c4b62 current git hash of repository diff --git a/requirements/requirements.txt b/requirements/requirements.txt index 538cc21f9..bb14909c1 100644 --- a/requirements/requirements.txt +++ b/requirements/requirements.txt @@ -1,4 +1,3 @@ -best_download git+https://github.com/EleutherAI/DeeperSpeed.git@02e2ebf7dee6aaab3d89094ed470a4609763c742#egg=deepspeed ftfy>=6.0.1 git+https://github.com/EleutherAI/lm_dataformat.git@4eec05349977071bf67fc072290b95e31c8dd836 From 90d4cb3ded365a5189ea6a26aabe3ec7ffc3cc8d Mon Sep 17 00:00:00 2001 From: Keita Watanabe Date: Sat, 9 Mar 2024 04:32:52 +0900 Subject: [PATCH 63/99] Fix documentation for --jsonl-keys argument of preprocess_data scripts (#1176) --- README.md | 2 +- tools/datasets/README.md | 2 +- tools/datasets/preprocess_data.py | 2 +- tools/datasets/preprocess_data_with_mask.py | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 721306c22..4f851e7d4 100644 --- a/README.md +++ b/README.md @@ -373,7 +373,7 @@ optional arguments: input data: --input INPUT Path to input jsonl files or lmd archive(s) - if using multiple archives, put them in a comma separated list --jsonl-keys JSONL_KEYS [JSONL_KEYS ...] - space separate listed of keys to extract from jsonl. Defa + space separate listed of keys to extract from jsonl. Default: text --num-docs NUM_DOCS Optional: Number of documents in the input data (if known) for an accurate progress bar. tokenizer: diff --git a/tools/datasets/README.md b/tools/datasets/README.md index 9b459e1e3..f8215959c 100644 --- a/tools/datasets/README.md +++ b/tools/datasets/README.md @@ -18,7 +18,7 @@ input data: --input INPUT Path to input jsonl files or lmd archive(s) - if using multiple archives, put them in a comma separated list --jsonl-keys JSONL_KEYS [JSONL_KEYS ...] - space separate listed of keys to extract from jsonl. Defa + space separate listed of keys to extract from jsonl. Default: text --num-docs NUM_DOCS Optional: Number of documents in the input data (if known) for an accurate progress bar. tokenizer: diff --git a/tools/datasets/preprocess_data.py b/tools/datasets/preprocess_data.py index 32e656ace..d7765e504 100644 --- a/tools/datasets/preprocess_data.py +++ b/tools/datasets/preprocess_data.py @@ -77,7 +77,7 @@ def get_args(input_args=None): "--jsonl-keys", nargs="+", default=["text"], - help="space separate listed of keys to extract from jsonl. Defa", + help="space separate listed of keys to extract from jsonl. Default: text", ) group.add_argument( "--num-docs", diff --git a/tools/datasets/preprocess_data_with_mask.py b/tools/datasets/preprocess_data_with_mask.py index ec2fddbe4..661092c03 100644 --- a/tools/datasets/preprocess_data_with_mask.py +++ b/tools/datasets/preprocess_data_with_mask.py @@ -166,7 +166,7 @@ def get_args(): "--jsonl-keys", nargs="+", default=["text"], - help="space separate listed of keys to extract from jsonl. Defa", + help="space separate listed of keys to extract from jsonl. Default: text", ) group.add_argument( "--mask-before-token", From 8c136425fac560a033a99e5165dc9acaf425a9a6 Mon Sep 17 00:00:00 2001 From: tf-nv <151943126+tf-nv@users.noreply.github.com> Date: Fri, 8 Mar 2024 20:40:23 +0100 Subject: [PATCH 64/99] clean up dockerfile: (#1175) - Eliminate already installed apt packages - sparse attn requirement lead to a triton downgrade - flash attn is already part of the ngc container (in another version that is compatible with TE) --- Dockerfile | 12 +++++------- 1 file changed, 5 insertions(+), 7 deletions(-) diff --git a/Dockerfile b/Dockerfile index 6a83fc0d4..c338bacec 100644 --- a/Dockerfile +++ b/Dockerfile @@ -26,11 +26,11 @@ LABEL org.opencontainers.image.base.name="nvcr.io/nvidia/pytorch:24.02-py3" #### System package (uses default Python 3 version in Ubuntu 20.04) RUN apt-get update -y && \ apt-get install -y \ - git python3-dev libpython3-dev python3-pip sudo pdsh \ - htop tmux zstd software-properties-common build-essential autotools-dev \ - nfs-common pdsh cmake g++ gcc curl wget vim less unzip htop iftop iotop ca-certificates ssh \ - rsync iputils-ping net-tools libcupti-dev libmlx4-1 infiniband-diags ibutils ibverbs-utils \ - rdmacm-utils perftest rdma-core nano && \ + python3-pip sudo pdsh \ + htop tmux zstd software-properties-common \ + nfs-common pdsh cmake htop iftop iotop ssh \ + iputils-ping net-tools libcupti-dev libmlx4-1 infiniband-diags ibutils \ + rdmacm-utils perftest rdma-core && \ update-alternatives --install /usr/bin/python python /usr/bin/python3 1 && \ update-alternatives --install /usr/bin/pip pip /usr/bin/pip3 1 && \ python -m pip install --upgrade pip && \ @@ -75,8 +75,6 @@ RUN mkdir -p /home/mchorse/.ssh /job && \ #### Python packages COPY requirements/* ./ RUN python -m pip install --no-cache-dir -r requirements.txt && pip install -r requirements-onebitadam.txt -RUN python -m pip install -r requirements-sparseattention.txt -RUN python -m pip install -r requirements-flashattention.txt RUN python -m pip install -r requirements-wandb.txt RUN python -m pip install protobuf==3.20.* From c1fa9949d27f83e5de3f7dc96ff2cd7a552d9b81 Mon Sep 17 00:00:00 2001 From: ffgcc <50454385+chaochen99@users.noreply.github.com> Date: Sat, 9 Mar 2024 03:51:20 +0800 Subject: [PATCH 65/99] When using kv cache and flash attention in conjunction, it's crucial to set the causal parameter of flash_varlen_qkv_fn to False. Failing to do so will lead to inaccurate results. (#1178) --- megatron/model/transformer.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/megatron/model/transformer.py b/megatron/model/transformer.py index b1be42943..06715fdbb 100644 --- a/megatron/model/transformer.py +++ b/megatron/model/transformer.py @@ -626,6 +626,7 @@ def flash_attention(self, query_layer, key_layer, value_layer): q_shape = query_layer.shape k_shape = key_layer.shape v_shape = value_layer.shape + is_causal = max_seqlen_q == max_seqlen_k output = self.flash_varlen_qkv_fn( query_layer.reshape( (q_shape[0] * q_shape[1], q_shape[2], q_shape[3]) @@ -641,7 +642,7 @@ def flash_attention(self, query_layer, key_layer, value_layer): max_seqlen_q, max_seqlen_k, softmax_scale=None, - causal=True, + causal=is_causal, **extra_kwargs, ) output = output.reshape(q_shape) From 1e7abe71740deb4ae51355afae3ad23e47f6d5ab Mon Sep 17 00:00:00 2001 From: yang <7129+yang@users.noreply.github.com> Date: Fri, 8 Mar 2024 15:52:45 -0800 Subject: [PATCH 66/99] Remove gas from Pythia configs (#1181) Fixes #1165 Co-authored-by: Yang Zhang --- configs/pythia/1-4B.yml | 1 - configs/pythia/14M.yml | 1 - configs/pythia/160M.yml | 1 - configs/pythia/31M.yml | 1 - configs/pythia/410M.yml | 1 - configs/pythia/70M.yml | 1 - 6 files changed, 6 deletions(-) diff --git a/configs/pythia/1-4B.yml b/configs/pythia/1-4B.yml index bfb8d4bc7..0176d0a78 100755 --- a/configs/pythia/1-4B.yml +++ b/configs/pythia/1-4B.yml @@ -43,7 +43,6 @@ }, "train_micro_batch_size_per_gpu": 16, - "gas": 1, "data_impl": "mmap", "num_workers": 1, diff --git a/configs/pythia/14M.yml b/configs/pythia/14M.yml index 41b11fcca..72314c7dd 100644 --- a/configs/pythia/14M.yml +++ b/configs/pythia/14M.yml @@ -47,7 +47,6 @@ # batch size (trained on 32 gpus) "train_micro_batch_size_per_gpu": 32, - "gas": 1, "data-impl": "mmap", "num_workers": 4, diff --git a/configs/pythia/160M.yml b/configs/pythia/160M.yml index 2f6abdef5..d5b12547f 100755 --- a/configs/pythia/160M.yml +++ b/configs/pythia/160M.yml @@ -43,7 +43,6 @@ }, "train_micro_batch_size_per_gpu": 32, - "gas": 1, "data_impl": "mmap", "num_workers": 1, diff --git a/configs/pythia/31M.yml b/configs/pythia/31M.yml index 82f8ed343..f450d12ad 100644 --- a/configs/pythia/31M.yml +++ b/configs/pythia/31M.yml @@ -47,7 +47,6 @@ # batch size (trained on 32 gpus) "train_micro_batch_size_per_gpu": 32, - "gas": 1, "data-impl": "mmap", "num_workers": 2, diff --git a/configs/pythia/410M.yml b/configs/pythia/410M.yml index 95afe9cd9..8d3c4e594 100755 --- a/configs/pythia/410M.yml +++ b/configs/pythia/410M.yml @@ -43,7 +43,6 @@ }, "train_micro_batch_size_per_gpu": 32, - "gas": 1, "data_impl": "mmap", "num_workers": 1, diff --git a/configs/pythia/70M.yml b/configs/pythia/70M.yml index a58553b4e..2cab2e70d 100755 --- a/configs/pythia/70M.yml +++ b/configs/pythia/70M.yml @@ -43,7 +43,6 @@ }, "train_micro_batch_size_per_gpu": 32, - "gas": 1, "data_impl": "mmap", "num_workers": 1, From 82ddc66887215f41386313888459b03970f78e4e Mon Sep 17 00:00:00 2001 From: yang <7129+yang@users.noreply.github.com> Date: Fri, 8 Mar 2024 15:55:13 -0800 Subject: [PATCH 67/99] Fix moe_loss in gpt_j_residual path (#1180) Fixes #1174 Co-authored-by: Yang Zhang --- megatron/model/transformer.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/megatron/model/transformer.py b/megatron/model/transformer.py index 06715fdbb..533f29813 100644 --- a/megatron/model/transformer.py +++ b/megatron/model/transformer.py @@ -1046,6 +1046,7 @@ def _get_bias_dropout(self): def forward(self, x, attention_mask, layer_past=None): layer_past = layer_past if layer_past is not None else self.layer_past bias_dropout_fn = self._get_bias_dropout() + moe_loss = torch.tensor(0.0, device=x.device, dtype=x.dtype) # x: [b, s, h] if self.gpt_j_residual: # pseudocode: @@ -1127,9 +1128,6 @@ def forward(self, x, attention_mask, layer_past=None): # output = x + mlp(ln2(x)) layernorm_output = self.post_attention_layernorm(attention_output) - moe_loss = torch.tensor( - 0.0, device=layernorm_output.device, dtype=layernorm_output.dtype - ) mlp_bias = torch.tensor( 0.0, device=layernorm_output.device, dtype=layernorm_output.dtype ) From 6809bbc3e882770beab207cb2b8c77b70a603772 Mon Sep 17 00:00:00 2001 From: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com> Date: Sun, 10 Mar 2024 13:58:21 -0400 Subject: [PATCH 68/99] Add Mamba Architecture (#1157) * initial mamba support (no kernels, no parallelism) * Mamba runs! Also, add flags for sel. scan and conv1d fused kernels * Update NeoXArgs docs automatically * add mamba_inner_fn ; try really hard to make A_log and D no-WD and stored in fp32 * cleanup print statements * Update NeoXArgs docs automatically * Update NeoXArgs docs automatically * add draft conversion script (tested working TP=1) * Update NeoXArgs docs automatically * Update NeoXArgs docs automatically * Update NeoXArgs docs automatically * update parallelism checks for mamba--partition activations works * add mamba requirements * clean up and better comment mamba code * clean up and better comment mamba code * update arg validation in mamba * more cleanup * add flag for fp32 Alog/D, add init_methods support for mamba * Update NeoXArgs docs automatically * update conversion script name, add docstring * name conversion script * Update NeoXArgs docs automatically * add demo configs * Update NeoXArgs docs automatically * Update NeoXArgs docs automatically * add arguments to control conv and (in,out)_proj biases in mamba separately * Update NeoXArgs docs automatically * make x_proj bias also controlled by flag * Update NeoXArgs docs automatically * pre-commit, add comments * Update NeoXArgs docs automatically * Add mamba import print * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions Co-authored-by: Quentin Anthony --- configs/mamba/mamba-1.4B.yml | 23 ++ configs/mamba/mamba-130M.yml | 23 ++ configs/mamba/mamba-2.8B.yml | 23 ++ configs/mamba/mamba-370M.yml | 23 ++ configs/mamba/mamba-790M.yml | 23 ++ configs/neox_arguments.md | 57 +++- megatron/model/gpt2_model.py | 23 +- megatron/model/init_functions.py | 24 +- megatron/model/mamba/__init__.py | 1 + megatron/model/mamba/mamba.py | 381 +++++++++++++++++++++++ megatron/model/norms.py | 3 +- megatron/model/utils.py | 7 +- megatron/neox_arguments/arguments.py | 9 + megatron/neox_arguments/neox_args.py | 36 ++- requirements/requirements-mamba.txt | 3 + tools/ckpts/convert_neox_to_mamba_ssm.py | 374 ++++++++++++++++++++++ 16 files changed, 1020 insertions(+), 13 deletions(-) create mode 100644 configs/mamba/mamba-1.4B.yml create mode 100644 configs/mamba/mamba-130M.yml create mode 100644 configs/mamba/mamba-2.8B.yml create mode 100644 configs/mamba/mamba-370M.yml create mode 100644 configs/mamba/mamba-790M.yml create mode 100644 megatron/model/mamba/__init__.py create mode 100644 megatron/model/mamba/mamba.py create mode 100644 requirements/requirements-mamba.txt create mode 100644 tools/ckpts/convert_neox_to_mamba_ssm.py diff --git a/configs/mamba/mamba-1.4B.yml b/configs/mamba/mamba-1.4B.yml new file mode 100644 index 000000000..2898a72fd --- /dev/null +++ b/configs/mamba/mamba-1.4B.yml @@ -0,0 +1,23 @@ +{ + # Parallelism is not yet supported for Mamba + "pipe_parallel_size": 0, + "model_parallel_size": 1, + + "num_layers": 48, + "hidden_size": 2048, + "num_attention_heads": 12, # ignored when using mamba + "seq_length": 2048, + "max_position_embeddings": 2048, + "output_layer_parallelism": "column", + "norm": "rmsnorm", + "rms_norm_epsilon": 1.0e-5, + + "attention_config": [[["mamba"], 48]], + + "mamba_selective_scan_fusion": true, + "mamba_causal_conv_fusion": true, + "mamba_inner_func_fusion": true, # supersedes scan or conv fusion + "activation": "silu", + + "output_layer_init_method": "single_residual_scaled_normal", +} diff --git a/configs/mamba/mamba-130M.yml b/configs/mamba/mamba-130M.yml new file mode 100644 index 000000000..d9a6ab92e --- /dev/null +++ b/configs/mamba/mamba-130M.yml @@ -0,0 +1,23 @@ +{ + # Parallelism is not yet supported for Mamba + "pipe_parallel_size": 0, + "model_parallel_size": 1, + + "num_layers": 24, + "hidden_size": 768, + "num_attention_heads": 12, # ignored when using mamba + "seq_length": 2048, + "max_position_embeddings": 2048, + "output_layer_parallelism": "column", + "norm": "rmsnorm", + "rms_norm_epsilon": 1.0e-5, + + "attention_config": [[["mamba"], 24]], + + "mamba_selective_scan_fusion": true, + "mamba_causal_conv_fusion": true, + "mamba_inner_func_fusion": true, # supersedes scan or conv fusion + "activation": "silu", + + "output_layer_init_method": "single_residual_scaled_normal", +} diff --git a/configs/mamba/mamba-2.8B.yml b/configs/mamba/mamba-2.8B.yml new file mode 100644 index 000000000..1aacb264b --- /dev/null +++ b/configs/mamba/mamba-2.8B.yml @@ -0,0 +1,23 @@ +{ + # Parallelism is not yet supported for Mamba + "pipe_parallel_size": 0, + "model_parallel_size": 1, + + "num_layers": 64, + "hidden_size": 2560, + "num_attention_heads": 12, # ignored when using mamba + "seq_length": 2048, + "max_position_embeddings": 2048, + "output_layer_parallelism": "column", + "norm": "rmsnorm", + "rms_norm_epsilon": 1.0e-5, + + "attention_config": [[["mamba"], 64]], + + "mamba_selective_scan_fusion": true, + "mamba_causal_conv_fusion": true, + "mamba_inner_func_fusion": true, # supersedes scan or conv fusion + "activation": "silu", + + "output_layer_init_method": "single_residual_scaled_normal", +} diff --git a/configs/mamba/mamba-370M.yml b/configs/mamba/mamba-370M.yml new file mode 100644 index 000000000..5e5a78cca --- /dev/null +++ b/configs/mamba/mamba-370M.yml @@ -0,0 +1,23 @@ +{ + # Parallelism is not yet supported for Mamba + "pipe_parallel_size": 0, + "model_parallel_size": 1, + + "num_layers": 48, + "hidden_size": 1024, + "num_attention_heads": 12, # ignored when using mamba + "seq_length": 2048, + "max_position_embeddings": 2048, + "output_layer_parallelism": "column", + "norm": "rmsnorm", + "rms_norm_epsilon": 1.0e-5, + + "attention_config": [[["mamba"], 64]], + + "mamba_selective_scan_fusion": true, + "mamba_causal_conv_fusion": true, + "mamba_inner_func_fusion": true, # supersedes scan or conv fusion + "activation": "silu", + + "output_layer_init_method": "single_residual_scaled_normal", +} diff --git a/configs/mamba/mamba-790M.yml b/configs/mamba/mamba-790M.yml new file mode 100644 index 000000000..fcd324d9d --- /dev/null +++ b/configs/mamba/mamba-790M.yml @@ -0,0 +1,23 @@ +{ + # Parallelism is not yet supported for Mamba + "pipe_parallel_size": 0, + "model_parallel_size": 1, + + "num_layers": 48, + "hidden_size": 1536, + "num_attention_heads": 12, # ignored when using mamba + "seq_length": 2048, + "max_position_embeddings": 2048, + "output_layer_parallelism": "column", + "norm": "rmsnorm", + "rms_norm_epsilon": 1.0e-5, + + "attention_config": [[["mamba"], 64]], + + "mamba_selective_scan_fusion": true, + "mamba_causal_conv_fusion": true, + "mamba_inner_func_fusion": true, # supersedes scan or conv fusion + "activation": "silu", + + "output_layer_init_method": "single_residual_scaled_normal", +} diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 6fa514117..825d4eb60 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = e6c4b62 + Default = 33f2842 current git hash of repository @@ -432,7 +432,7 @@ Model Arguments The first item in the list specifies the attention type(s), and should be a list of strings. The second item specifies the number of times to repeat those attention types in the full list. - attention type choices: [global, local, sparse_fixed, sparse_variable, bslongformer, bigbird, "gmlp", "amlp", "flash"] + attention type choices: [global, local, sparse_fixed, sparse_variable, bslongformer, bigbird, "gmlp", "amlp", "flash", "mamba"] So a 12 layer network with only global attention could be specified like: [[[`global`], 12]] @@ -613,7 +613,7 @@ Model Arguments -- **init_method**: typing.Literal['normal', 'scaled_normal', 'orthogonal', 'scaled_orthogonal', 'xavier_uniform', 'xavier_normal', 'wang_init', 'small_init'] +- **init_method**: typing.Literal['normal', 'scaled_normal', 'orthogonal', 'scaled_orthogonal', 'xavier_uniform', 'xavier_normal', 'wang_init', 'small_init', 'single_residual_scaled_normal'] Default = normal @@ -622,7 +622,7 @@ Model Arguments -- **output_layer_init_method**: typing.Literal['normal', 'scaled_normal', 'orthogonal', 'scaled_orthogonal', 'xavier_uniform', 'xavier_normal', 'wang_init', 'small_init'] +- **output_layer_init_method**: typing.Literal['normal', 'scaled_normal', 'orthogonal', 'scaled_orthogonal', 'xavier_uniform', 'xavier_normal', 'wang_init', 'small_init', 'single_residual_scaled_normal'] Default = scaled_normal @@ -705,6 +705,55 @@ Model Arguments +- **mamba_selective_scan_fusion**: bool + + Default = False + + Enable fused kernels for Mamba selective scan. + + + +- **mamba_causal_conv_fusion**: bool + + Default = False + + Enable fused kernels for Mamba causal Conv1d. + + + +- **mamba_inner_func_fusion**: bool + + Default = False + + Enable fused inner operator for Mamba. (Supersedes conv. and selective scan fusion flags, requires each of those kernels to be installed.) + + + +- **mamba_selective_fp32_params**: bool + + Default = True + + Keep selected parameters in fp32 for Mamba (A and D). + Requires https://github.com/EleutherAI/DeeperSpeed/pull/61 . + + + +- **mamba_use_bias_in_conv**: bool + + Default = True + + If false, conv1d in mamba block will not have bias term + + + +- **mamba_use_bias_in_linears**: bool + + Default = False + + Enable bias terms in mamba block up- and down- projections (in_proj and out_proj). + + + - **output_layer_parallelism**: typing.Literal['column'] Default = column diff --git a/megatron/model/gpt2_model.py b/megatron/model/gpt2_model.py index e083351cc..807faac75 100644 --- a/megatron/model/gpt2_model.py +++ b/megatron/model/gpt2_model.py @@ -37,6 +37,7 @@ ParallelLinear, ) from megatron.model.gmlp import GMLPBlock +from megatron.model.mamba import MambaResidualLayerPipe from megatron.model.word_embeddings import EmbeddingPipe, SoftEmbedding # Pipeline parallelism @@ -134,7 +135,11 @@ def __init__( if self.neox_args.checkpoint_activations else 0, partition_method=neox_args.pipe_partition_method, - checkpointable_layers=["GMLPBlock", "ParallelTransformerLayerPipe"], + checkpointable_layers=[ + "GMLPBlock", + "ParallelTransformerLayerPipe", + "MambaResidualLayerPipe", + ], ) def insert_layers( @@ -166,7 +171,11 @@ def insert_layers( topology=self.__topology__, activation_checkpoint_interval=self.activation_checkpoint_interval, partition_method=self.neox_args.pipe_partition_method, - checkpointable_layers=["GMLPBlock", "ParallelTransformerLayerPipe"], + checkpointable_layers=[ + "GMLPBlock", + "ParallelTransformerLayerPipe", + "MambaResidualLayerPipe", + ], ) def init_specs(self): @@ -242,6 +251,16 @@ def init_specs(self): mask_fn=gpt2_attention_mask_func, ) ) + elif layer_type in ["mamba"]: + self.specs.append( + LayerSpec( + MambaResidualLayerPipe, + neox_args=self.neox_args, + init_method=self.init_method, + output_layer_init_method=self.output_layer_init_method, + layer_number=i, + ) + ) else: self.specs.append( LayerSpec( diff --git a/megatron/model/init_functions.py b/megatron/model/init_functions.py index ad8ebc05a..86a003dbd 100644 --- a/megatron/model/init_functions.py +++ b/megatron/model/init_functions.py @@ -38,10 +38,18 @@ def init_(tensor, use_mup=use_mup_outer): def scaled_init_method_normal( - sigma, num_layers, use_mup_outer=False, mup_init_scale=1.0 + sigma, + num_layers, + use_mup_outer=False, + mup_init_scale=1.0, + num_residuals_per_layer=2, ): - """Init method based on N(0, sigma/sqrt(2*num_layers).""" - std = sigma / math.sqrt(2.0 * num_layers) + """Init method based on N(0, sigma/sqrt(2*num_layers). + + Also allows for N(0, sigma/sqrt(x*num_layers)) where + x=number of residuals per layer (e.g. 1 for Mamba.) + """ + std = sigma / math.sqrt(num_residuals_per_layer * num_layers) def init_(tensor, use_mup=use_mup_outer): if use_mup: @@ -203,6 +211,16 @@ def _get(name): return small_init_init_method( args.hidden_size, args.use_mup, args.mup_init_scale ) + elif name == "single_residual_scaled_normal": + # mamba init uses scaled_normal but no need for 2 * num_layers + # since only one residual per layer + return scaled_init_method_normal( + args.init_method_std, + args.num_layers, + args.use_mup, + args.mup_init_scale, + num_residuals_per_layer=1, + ) else: raise NotImplementedError(f"Unknown init method {name}") diff --git a/megatron/model/mamba/__init__.py b/megatron/model/mamba/__init__.py new file mode 100644 index 000000000..b55311091 --- /dev/null +++ b/megatron/model/mamba/__init__.py @@ -0,0 +1 @@ +from .mamba import MambaResidualLayer, MambaResidualLayerPipe diff --git a/megatron/model/mamba/mamba.py b/megatron/model/mamba/mamba.py new file mode 100644 index 000000000..eedd19f40 --- /dev/null +++ b/megatron/model/mamba/mamba.py @@ -0,0 +1,381 @@ +import math + +import torch +import torch.nn as nn +import torch.nn.functional as F + +try: + from mamba_ssm.ops.selective_scan_interface import ( + selective_scan_ref, + selective_scan_fn, + mamba_inner_fn, + ) + from causal_conv1d import causal_conv1d_fn + import einops +except ModuleNotFoundError: + print( + "Unable to import Mamba kernels. Install them from our requirements/requirements-mamba.txt, or directly from https://github.com/state-spaces/mamba" + ) + pass + +from megatron.model.norms import get_norm + + +# Mamba layer, without parallelism. +class MambaBlock(nn.Module): + def __init__( + self, + neox_args, + init_method, + output_layer_init_method, + ): + super().__init__() + + self.neox_args = neox_args + + dtype = { + "fp16": torch.float16, + "bf16": torch.bfloat16, + "fp32": torch.float32, + }[neox_args.precision] + self.precision = dtype + factory_kwargs = {"device": torch.cuda.current_device(), "dtype": dtype} + + assert not ( + neox_args.mamba_use_bias_in_linears and neox_args.mamba_inner_func_fusion + ), "Mamba fused inner fn and bias in x_proj not compatible!" + + # set variables, mostly following mamba defaults + self.d_model = neox_args.hidden_size + self.d_state = 16 # state dimensions per channel + self.d_conv = 4 # convolution width + self.expand = 2 # linear projection expansion factors + self.d_inner = int(self.expand * self.d_model) + self.dt_rank = math.ceil(self.d_model / 16) # rank of dt / Delta parameter + self.dt_scale = 1.0 + + self.dt_init = "random" + self.dt_min, self.dt_max, self.dt_init_floor = 0.001, 0.1, 1e-4 + assert self.dt_init in ["constant", "random"] + + # up-projection. + self.in_proj = nn.Linear( + self.d_model, + self.d_inner * 2, + bias=neox_args.mamba_use_bias_in_linears, + **factory_kwargs, + ) + init_method(self.in_proj.weight) + + # convolution. + self.conv1d = nn.Conv1d( + in_channels=self.d_inner, + out_channels=self.d_inner, + bias=neox_args.mamba_use_bias_in_conv, + kernel_size=self.d_conv, + groups=self.d_inner, + padding=self.d_conv - 1, + **factory_kwargs, + ) + # Conv bias sometimes in 32-bit erroneously, when holding other parameters in fp32. + # Uncertain why + self.conv1d.to(self.precision) + + self.act_fn = F.silu # we do not allow for + + # x_proj corresponds to s_B(x), s_C(x), s_Delta(x) + # in https://arxiv.org/pdf/2312.00752.pdf Algorithm 2 + # (computes data-dependent B, C, Delta/dt) + self.x_proj = nn.Linear( + self.d_inner, + self.dt_rank + self.d_state * 2, + bias=neox_args.mamba_use_bias_in_linears, + **factory_kwargs, + ) + init_method(self.x_proj.weight) + + # up-project dt / Delta from dt_rank to d_inner + # dt_proj 's bias is a special case and I believe we should keep it turned on -- Alg. 2 in the Mamba paper (https://arxiv.org/abs/2312.00752) + # defines Delta as Delta = Tau_{Delta}(Parameter + s_{Delta}(x)) where s_{Delta}(x) = Broadcast_{D}(Linear_{1}(x)) + # or as they further explain in section 3.6 can be also s_{Delta}(x) = Linear_{D}(Linear_{R}(x)) where Linear_R + # is the delta portion of x_proj and Linear_D is the dt_proj weight. Then, the Parameter term from Alg. 2 can + # be viewed as the bias term in dt_proj, with a special initialization from https://arxiv.org/abs/2206.12037 + self.dt_proj = nn.Linear( + self.dt_rank, self.d_inner, bias=True, **factory_kwargs + ) + + # special init for dt_proj + dt_init_std = (self.dt_rank**-0.5) * self.dt_scale + if self.dt_init == "constant": + nn.init.constant_(self.dt_proj.weight, dt_init_std) + elif self.dt_init == "random": + nn.init.uniform_(self.dt_proj.weight, -dt_init_std, dt_init_std) + else: + raise NotImplementedError + + # more dt_proj init stuff. copied from https://github.com/state-spaces/mamba/blob/009bec5ee37f586844a3fc89c040a9c1a9d8badf/mamba_ssm/modules/mamba_simple.py#L91-L101 + dt = torch.exp( + torch.rand(self.d_inner, **factory_kwargs) + * (math.log(self.dt_max) - math.log(self.dt_min)) + + math.log(self.dt_min) + ).clamp(min=self.dt_init_floor) + # Inverse of softplus: https://github.com/pytorch/pytorch/issues/72759 + inv_dt = dt + torch.log(-torch.expm1(-dt)) + with torch.no_grad(): + self.dt_proj.bias.copy_(inv_dt) + + # initialize A . uses S4D real initialization + A = einops.repeat( + torch.arange( + 1, + self.d_state + 1, + dtype=torch.float32, + device=torch.cuda.current_device(), + ), + "n -> d n", + d=self.d_inner, + ).contiguous() + A_log = torch.log(A).to( + torch.float32 + ) # Keep in fp32, following https://github.com/state-spaces/mamba#precision and code comments + self.A_log = nn.Parameter(A_log) + self.A_log._no_weight_decay = ( + True # setting this attribute turns off weight decay for this param + ) + # setting this attribute prevents deeperspeed from casting this param to fp32 + # requires DeepersSpeed commit https://github.com/EleutherAI/DeeperSpeed/commit/6d097beccc4e3b0ac806c7d975f8c10d4689de26 or later + if self.neox_args.mamba_selective_fp32_params: + self.A_log._deepspeed_no_cast = True + + # D parameter + self.D = nn.Parameter( + torch.ones( + self.d_inner, device=torch.cuda.current_device(), dtype=torch.float32 + ) + ).to( + torch.float32 + ) # Keep in fp32, following https://github.com/state-spaces/mamba#precision and code comments + self.D._no_weight_decay = ( + True # setting this attribute turns off weight decay for this param + ) + # setting this attribute prevents deeperspeed from casting this param to fp32 + # requires DeeperSpeed commit https://github.com/EleutherAI/DeeperSpeed/commit/6d097beccc4e3b0ac806c7d975f8c10d4689de26 or later + if self.neox_args.mamba_selective_fp32_params: + self.D._deepspeed_no_cast = True + + # out down-projection + self.out_proj = nn.Linear( + self.d_inner, + self.d_model, + bias=neox_args.mamba_use_bias_in_linears, + **factory_kwargs, + ) + output_layer_init_method(self.out_proj.weight) + + def selective_scan( + self, + x, + dt, + A, + B, + C, + D, + z=None, + delta_bias=None, + delta_softplus=True, + ): + + if not self.neox_args.mamba_selective_scan_fusion: + y = selective_scan_ref( + u=x, + delta=dt, + A=A, + B=B, + C=C, + D=D, + z=z, + delta_bias=delta_bias, + delta_softplus=delta_softplus, + return_last_state=False, + ) + else: + y = selective_scan_fn( + x, + dt, + A, + B, + C, + D=D, + z=z, + delta_bias=delta_bias, + delta_softplus=delta_softplus, + return_last_state=False, + ) + + return y + + def forward(self, hidden_states): + """ """ + # TODO: support inference natively in neox. + # For now, we only handle training (parallel scan). + assert self.training, "Mamba in NeoX does not support inference!" + + # hidden_states: [sq, b, h] + seqlen, batch, dim = hidden_states.shape + + # first up: perform in_proj + xz = einops.rearrange( + self.in_proj.weight @ einops.rearrange(hidden_states, "l b d -> d (b l)"), + "d (b l) -> b d l", + l=seqlen, + ) + + if self.in_proj.bias is not None: + xz = xz + einops.rearrange(self.in_proj.bias.to(dtype=xz.dtype), "d -> d 1") + + A = -torch.exp(self.A_log.float()) # (d_inner, d_state) + + if self.neox_args.mamba_inner_func_fusion: + # ================= + # Fused mamba inner + # ================= + + # mamba provides a mamba_inner fn that computes the entire (post-in_proj) Mamba block. + # we want to use it if we can, as it saves memory and provides speedups. + # equivalent to use_fast_path=True in state-spaces/mamba. + out = mamba_inner_fn( + xz, + self.conv1d.weight, + # for some bizarre reason this becomes fp32 sometime after init, when A and D held in fp32. + # cast it manually if the bias exists + self.conv1d.bias.to(self.precision) + if self.conv1d.bias is not None + else self.conv1d.bias, + self.x_proj.weight, + self.dt_proj.weight, + self.out_proj.weight, + self.out_proj.bias, + A, + None, # B is input-dependent, will compute from x_proj + None, # C is input-dependent, will compute from x_proj + self.D.float(), + delta_bias=self.dt_proj.bias.float(), + delta_softplus=True, + ) + + out = einops.rearrange(out, "b l h -> l b h") + + return out + + x, z = xz.chunk(2, dim=1) + + # =========== + # Convolution + # =========== + + if not self.neox_args.mamba_causal_conv_fusion: + self.conv1d.to(self.precision) # required if keeping fp32 A_log, D + x = self.act_fn(self.conv1d(x)[..., :seqlen]) + else: + # Note: this requires silu as activation. + x = causal_conv1d_fn( + x=x, + weight=einops.rearrange(self.conv1d.weight, "d 1 w -> d w"), + bias=self.conv1d.bias.to(self.precision) + if self.conv1d.bias is not None + else self.conv1d.bias, + activation="silu", + ) + + # ============== + # SSM (S6) layer + # ============== + + # project: perform s_B, s_C, s_Delta projections + x_dbl = self.x_proj(einops.rearrange(x, "b d l -> (b l) d")) + # split into component dt, B, C + dt, B, C = torch.split( + x_dbl, [self.dt_rank, self.d_state, self.d_state], dim=-1 + ) + + # up-project Delta / dt + dt = self.dt_proj.weight @ dt.t() + dt = einops.rearrange(dt, "d (b l) -> b d l", l=seqlen) + + # rearrange B, C + B = einops.rearrange(B, "(b l) d_state -> b d_state l", l=seqlen).contiguous() + C = einops.rearrange(C, "(b l) d_state -> b d_state l", l=seqlen).contiguous() + + # perform selective scan. + y = self.selective_scan( + x, + dt, + A, + B, + C, + self.D.float(), + z=z, + delta_bias=self.dt_proj.bias.float(), + delta_softplus=True, + ) + + # =============== + # Down-Projection + # =============== + y = einops.rearrange(y, "b d l -> b l d") + + out = self.out_proj(y) + + out = einops.rearrange(out, "b l h -> l b h") + + return out + + +class MambaResidualLayer(nn.Module): + """ + Pre-norm Mamba Block with residual connection. No parallelism yet supported. + """ + + def __init__( + self, + neox_args, + init_method, + output_layer_init_method, + layer_number, + ): + super().__init__() + # TODO: allow for residual in fp32 if it helps? + self.layer_number = layer_number + + # TODO: Add support for triton RMSNorm fused kernel at https://github.com/state-spaces/mamba/blob/v1.2.0/mamba_ssm/ops/triton/layernorm.py + norm, eps = get_norm(neox_args) + + self.norm = norm(neox_args.hidden_size, eps=eps) + + self.mixer = MambaBlock( + neox_args=neox_args, + init_method=init_method, + output_layer_init_method=output_layer_init_method, + ) + + def forward(self, x, attention_mask=None, layer_past=None): + + # pseudocode: + # x = x + mixer(norm(x)) + residual = x + + hidden_states = self.mixer(self.norm(x)) + + return hidden_states + residual + + +class MambaResidualLayerPipe(MambaResidualLayer): + """Extends MambaResidualLayer to forward attention_mask through the pipeline. DeepSpeed requires this.""" + + def forward(self, args): + assert ( + len(args) == 2 + ), "MambaResidualLayerPipe expects 2 arguments - hidden_states and attention_mask" + hidden_states, attention_mask = args + # we are returning just [hidden_states, mask] + return super().forward(hidden_states, attention_mask), attention_mask diff --git a/megatron/model/norms.py b/megatron/model/norms.py index 4d01dde5a..8b06b177c 100644 --- a/megatron/model/norms.py +++ b/megatron/model/norms.py @@ -57,6 +57,7 @@ def __init__(self, dim, p=-1.0, eps=1e-8, bias=False): self.register_parameter("offset", self.offset) def forward(self, x): + dtype = x.dtype if self.p < 0.0 or self.p > 1.0: norm_x = x.norm(2, dim=-1, keepdim=True) d_x = self.d @@ -73,7 +74,7 @@ def forward(self, x): if self.bias: return self.scale * x_normed + self.offset - return self.scale * x_normed + return (self.scale * x_normed).to(dtype) class ScaleNorm(torch.nn.Module): diff --git a/megatron/model/utils.py b/megatron/model/utils.py index 95a6c48c9..c3da2ce8b 100644 --- a/megatron/model/utils.py +++ b/megatron/model/utils.py @@ -52,14 +52,17 @@ def get_params_for_weight_decay_optimization(module, neox_args): [ p for n, p in list(module_._parameters.items()) - if p is not None and n != "bias" + if p is not None + and n != "bias" + and not getattr(p, "_no_weight_decay", False) ] ) no_weight_decay_params["params"].extend( [ p for n, p in list(module_._parameters.items()) - if p is not None and n == "bias" + if p is not None + and (n == "bias" or getattr(p, "_no_weight_decay", False)) ] ) if neox_args.weight_decay == 0.0: diff --git a/megatron/neox_arguments/arguments.py b/megatron/neox_arguments/arguments.py index a5f47bb7c..7f5d89279 100644 --- a/megatron/neox_arguments/arguments.py +++ b/megatron/neox_arguments/arguments.py @@ -1060,6 +1060,15 @@ def calculate_derived(self): assert ( not self.partition_activations ), "GMLP Blocks are not compatible with partition activations" + if "mamba" in self.attention_config: + assert ( + not self.is_pipe_parallel and self.model_parallel_size == 1 + ), "Mamba not currently compatible with parallelism" + if isinstance(self.zero_stage, int): + assert self.zero_stage <= 2, "Zero stage 3 not compatible with Mamba" + assert ( + self.hidden_dropout == 0.0, + ), "Mamba does not yet have dropout implemented" # Sparsity config if self.sparsity_config is None: diff --git a/megatron/neox_arguments/neox_args.py b/megatron/neox_arguments/neox_args.py index 0e951c811..16d6456b4 100644 --- a/megatron/neox_arguments/neox_args.py +++ b/megatron/neox_arguments/neox_args.py @@ -36,6 +36,7 @@ "gmlp", "amlp", "flash", + "mamba", ] @@ -215,7 +216,7 @@ class NeoXArgsModel(NeoXArgsTemplate): The first item in the list specifies the attention type(s), and should be a list of strings. The second item specifies the number of times to repeat those attention types in the full list. - attention type choices: [global, local, sparse_fixed, sparse_variable, bslongformer, bigbird, "gmlp", "amlp", "flash"] + attention type choices: [global, local, sparse_fixed, sparse_variable, bslongformer, bigbird, "gmlp", "amlp", "flash", "mamba"] So a 12 layer network with only global attention could be specified like: [[[`global`], 12]] @@ -353,6 +354,7 @@ class NeoXArgsModel(NeoXArgsTemplate): "xavier_normal", "wang_init", "small_init", + "single_residual_scaled_normal", ] = "normal" """ Init function used on all layers except ff residual outputs - choose from @@ -368,6 +370,7 @@ class NeoXArgsModel(NeoXArgsTemplate): "xavier_normal", "wang_init", "small_init", + "single_residual_scaled_normal", ] = "scaled_normal" """ Init function used for ff residual outputs - choose from @@ -426,6 +429,37 @@ class NeoXArgsModel(NeoXArgsTemplate): 'init_range': float = 0.5 # if no init string is provided, initialize the soft prompt with a uniform distribution between -init_range and init_rang """ + mamba_selective_scan_fusion: bool = False + """ + Enable fused kernels for Mamba selective scan. + """ + + mamba_causal_conv_fusion: bool = False + """ + Enable fused kernels for Mamba causal Conv1d. + """ + + mamba_inner_func_fusion: bool = False + """ + Enable fused inner operator for Mamba. (Supersedes conv. and selective scan fusion flags, requires each of those kernels to be installed.) + """ + + mamba_selective_fp32_params: bool = True + """ + Keep selected parameters in fp32 for Mamba (A and D). + Requires https://github.com/EleutherAI/DeeperSpeed/pull/61 . + """ + + mamba_use_bias_in_conv: bool = True + """ + If false, conv1d in mamba block will not have bias term + """ + + mamba_use_bias_in_linears: bool = False + """ + Enable bias terms in mamba block up- and down- projections (in_proj and out_proj). + """ + # Output layer parallelism over the hidden dim is currently broken (https://github.com/EleutherAI/gpt-neox/issues/905) output_layer_parallelism: Literal["column"] = "column" diff --git a/requirements/requirements-mamba.txt b/requirements/requirements-mamba.txt new file mode 100644 index 000000000..09dfa1fb9 --- /dev/null +++ b/requirements/requirements-mamba.txt @@ -0,0 +1,3 @@ +causal_conv1d>=1.1.0 +einops +mamba_ssm>=1.2.0.post1 # required for untied embedding + unembedding layers diff --git a/tools/ckpts/convert_neox_to_mamba_ssm.py b/tools/ckpts/convert_neox_to_mamba_ssm.py new file mode 100644 index 000000000..386a79a57 --- /dev/null +++ b/tools/ckpts/convert_neox_to_mamba_ssm.py @@ -0,0 +1,374 @@ +import torch + +from convert_neox_to_hf import load_partitions, get_key, get_state + +from mamba_ssm.models.config_mamba import MambaConfig +from mamba_ssm.models.mixer_seq_simple import MambaLMHeadModel + + +import argparse +from typing import Literal +import yaml +from tqdm import tqdm + +import os +import sys + +sys.path.append( + os.path.abspath( + os.path.join(os.path.dirname(__file__), os.path.pardir, os.path.pardir) + ) +) +from megatron.tokenizer import build_tokenizer + +""" +Conversion utility for converting a Mamba model +trained in GPT-NeoX into the mamba_ssm package ckpt format. +""" +ARCH = { + "COLUMN_PARALLEL_LINEAR_KEYS": { + "mixer.in_proj.weight": "mixer.in_proj.weight", + # "mixer.in_proj.bias": "mixer.in_proj.bias", + }, + "ROW_PARALLEL_LINEAR_KEYS": { + "mixer.out_proj.weight": "mixer.out_proj.weight", + }, + "ROW_PARALLEL_BIAS_KEYS": { + # "mixer.out_proj.bias": "mixer.out_proj.bias", + }, + "NO_SHARD_KEYS": { + "mixer.A_log": "mixer.A_log", + "mixer.D": "mixer.D", + "mixer.x_proj.weight": "mixer.x_proj.weight", + "mixer.dt_proj.weight": "mixer.dt_proj.weight", + "mixer.dt_proj.bias": "mixer.dt_proj.bias", + "mixer.conv1d.weight": "mixer.conv1d.weight", + "mixer.conv1d.bias": "mixer.conv1d.bias", + }, + "NORM_KEYS": { + "norm.scale": "norm.weight", + # "norm.bias": "norm.bias", + }, + "FINAL_NORM_KEYS": { + "norm.scale": "weight", + # "norm.bias": "bias", + }, +} + + +def create_config(neox_config): + class TokenizerArgs: + # kinda hacky. + # this is to get something with the same interface as is used in build_tokenizer() + # without diving into loading a neox_args object or using argparse etc. + def __init__(self, neox_config): + self.make_vocab_size_divisible_by = get_key( + neox_config, "make-vocab-size-divisible-by", default=128 + ) + self.model_parallel_size = get_key(neox_config, "model-parallel-size") + self.vocab_file = get_key(neox_config, "vocab-file") + self.merge_file = get_key(neox_config, "merge-file") + self.tokenizer_type = get_key(neox_config, "tokenizer-type") + + self.rank = 0 + + args = TokenizerArgs(neox_config) + tokenizer = build_tokenizer(args) + try: # GPT2TokenizerFast raises NotImplementedError + pad_token = tokenizer.pad + except: + pad_token = ( + 1 # pad defaulting to 1. follows convention from GPT-NeoX-20b tokenizer + ) + norm_type = get_key(neox_config, "norm", "layernorm") + if norm_type == "rmsnorm": + use_rms_norm = True + else: + assert ( + norm_type == "layernorm" + ), "only layernorm or rmsnorm supported by mamba_ssm!" + use_rms_norm = False + return MambaConfig( + d_model=get_key(neox_config, "hidden_size"), + n_layer=get_key(neox_config, "num_layers"), + vocab_size=args.padded_vocab_size, + rms_norm=use_rms_norm, + residual_in_fp32=False, + fused_add_norm=True, + # shouldn't really matter? we didn't train with it but should be equiv. + # it's faster though + # pad_vocab_size_multiple_of=get_key(neox_config, "make_vocab_size_divisible_by", 128), + tie_embeddings=not get_key( + neox_config, "no_weight_tying", False + ), # requires newer mamba_ssm>=1.2.0.post1 + ) + + +def convert( + input_checkpoint_path, + loaded_config, + output_checkpoint_path, + sequential: bool = True, + precision: Literal["auto", "fp16", "bf16", "fp32"] = "auto", +): + + mamba_config = create_config(loaded_config) + + if precision == "auto": + print("Auto-detecting precision to save model into...") + # save model in FP16 if Deepspeed fp16 was used in config, else 32 bit + fp16 = get_key(loaded_config, "fp16") + + if fp16: + try: + # current behavior is to pass "fp16": {"enabled": true}, when using upstream Deepspeed + if fp16["enabled"]: + dtype = torch.float16 + print("Saving weights in fp16 precision...") + except: + try: + # attempt to access bf16 dict in yaml file, if fp16 not enabled + bf16 = get_key(loaded_config, "bf16") + if bf16: + dtype = torch.bfloat16 + print("Saving weights in bf16 precision...") + except: + dtype = torch.float + print( + "Model not trained in fp16 / bf16 mixed precision, saving weights in fp32..." + ) + else: + name_to_dtype = { + "bf16": torch.bfloat16, + "fp16": torch.float16, + "fp32": torch.float, + } + print(f"Saving model into specified {precision} precision...") + dtype = name_to_dtype[precision] + + mamba_model = MambaLMHeadModel( + config=mamba_config, + device="cuda" if torch.cuda.is_available() else "cpu", + dtype=torch.float, + ) # dtype) + + mp_partitions = get_key(loaded_config, "model-parallel-size") + + # Sequential saves all model states from an MP rank in one file. + # so we only load the MP ranks only once and index into them with get_state(). + # for the pipeline-parallel case (pipeline-parallel-size >= 1), + # we must load the correct layer's states at each step. + # (this does mean that less memory is required for PP conversion.) + loaded_tp_ranks = load_partitions( + input_checkpoint_path, mp_partitions, layer_idx=0, sequential=sequential + ) + + mamba_model.backbone.embedding.load_state_dict( + { + "weight": torch.cat( + get_state( + loaded_tp_ranks, + "word_embeddings.weight", + layer_idx=0, + sequential=sequential, + ), + dim=0, + ) + } + ) + + for layer_i in tqdm(range(get_key(loaded_config, "num-layers"))): + + layer = mamba_model.backbone.layers[layer_i] + + if not sequential: + # in the non-sequential case, must load from each layer individually. + # use layer index + 2 bc of embed layer and a dummy _pre_transformer_block, which are "layers 0 and 1" + loaded_tp_ranks = load_partitions( + input_checkpoint_path, + mp_partitions, + layer_idx=layer_i + 2, + sequential=sequential, + ) + + state_dict = {} + + for key, hf_key in ARCH["ROW_PARALLEL_LINEAR_KEYS"].items(): # ROW_PARALLEL + state_dict[hf_key] = torch.cat( + get_state( + loaded_tp_ranks, key, layer_idx=layer_i + 2, sequential=sequential + ), + dim=1, + ) + + # average layernorm stats over mp ranks + for key, hf_key in ARCH["NORM_KEYS"].items(): + state_dict[hf_key] = sum( + get_state( + loaded_tp_ranks, key, layer_idx=layer_i + 2, sequential=sequential + ) + ) / len(loaded_tp_ranks) + + # LinearWithTPMerge + for key, hf_key in ARCH["COLUMN_PARALLEL_LINEAR_KEYS"].items(): + state_dict[hf_key] = torch.cat( + get_state( + loaded_tp_ranks, key, layer_idx=layer_i + 2, sequential=sequential + ), + dim=0, + ) + + # LinearWithTPSplitBias + for key, hf_key in ARCH["ROW_PARALLEL_BIAS_KEYS"].items(): + state_dict[hf_key] = sum( + get_state( + loaded_tp_ranks, key, layer_idx=layer_i + 2, sequential=sequential + ) + ) + + # Average params which aren't sharded across ranks. + # they should be the same across ranks, so should be fine + for key, hf_key in ARCH["NO_SHARD_KEYS"].items(): + state_dict[hf_key] = sum( + get_state( + loaded_tp_ranks, key, layer_idx=layer_i + 2, sequential=sequential + ) + ) / len(loaded_tp_ranks) + + layer.load_state_dict(state_dict) + + if not sequential: + loaded_tp_ranks = load_partitions( + input_checkpoint_path, + mp_partitions, + get_key(loaded_config, "num-layers") + 3, + sequential=sequential, + ) + + norm_state_dict = {} + for key, hf_key in ARCH["FINAL_NORM_KEYS"].items(): + norm_state_dict[hf_key] = sum( + get_state( + loaded_tp_ranks, + key, + layer_idx=get_key(loaded_config, "num-layers") + 3, + sequential=sequential, + ) + ) / len(loaded_tp_ranks) + + final_layer_norm = mamba_model.backbone.norm_f + + final_layer_norm.load_state_dict(norm_state_dict) + + if not sequential: + loaded_tp_ranks = load_partitions( + input_checkpoint_path, + mp_partitions, + get_key(loaded_config, "num-layers") + 4, + sequential=sequential, + ) + + lm_head = mamba_model.lm_head + + lm_head.load_state_dict( + { + "weight": torch.cat( + get_state( + loaded_tp_ranks, + "final_linear.weight", + layer_idx=get_key(loaded_config, "num-layers") + 4, + sequential=sequential, + ), + dim=0, + ), + } + ) + + del loaded_tp_ranks + + return mamba_model + + +def main(input_args=None, overwrite_values=None): + + parser = argparse.ArgumentParser( + description="Merge MP partitions and convert to HF Model." + ) + parser.add_argument( + "--input_dir", + type=str, + help="Path to NeoX checkpoint, e.g. /path/to/model/global_step143000", + ) + parser.add_argument( + "--config_file", + type=str, + help="Path to config file for the input NeoX checkpoint.", + ) + parser.add_argument( + "--output_dir", + type=str, + help="Output dir, where to save the HF Model, tokenizer, and configs", + ) + parser.add_argument( + "--precision", + type=str, + default="auto", + help="What precision to save the model into. Defaults to auto, which auto-detects which 16-bit dtype to save into, or falls back to fp32.", + ) + parser.add_argument( + "--no_save_tokenizer", + action="store_true", + help="Whether to skip saving the tokenizer alongside a model.", + ) + parser.add_argument( + "--architecture", + type=str, + default="neox", + help="What HF model class type to export into.", + ) + args = parser.parse_args(input_args) + + # validate arguments + assert args.precision in [ + "auto", + "fp16", + "bf16", + "fp32", + ], f"expected --precision to be one of 'auto', 'fp16', 'bf16', 'fp32' but got '{args.precision}' !" + + with open(args.config_file) as f: + loaded_config = yaml.full_load(f) + if overwrite_values: + loaded_config.update(overwrite_values) + + # Determine the checkpoint format of the model. + # DeepSpeed saves models wrapped in a PipelineModule differently from those not. + # PipelineModule models are saved as per-layer state dicts per TP shard, + # while Sequential model state dicts are saved all together in one mp_rank_xx_model_states.pt + # file per tensor/model parallel shard. + pipeline_world_size = get_key(loaded_config, "pipe-parallel-size", 1) + if pipeline_world_size == 0: + sequential = True + print( + f"Detected 'pipe-parallel-size' of {pipeline_world_size}, assuming model is saved as Sequential..." + ) + else: + sequential = False + print( + f"Detected 'pipe-parallel-size' of {pipeline_world_size}, assuming model is saved as PipelineModule..." + ) + + model = convert( + args.input_dir, + loaded_config, + args.output_dir, + sequential=sequential, + precision=args.precision, + ) + + model.save_pretrained(args.output_dir) + + +if __name__ == "__main__": + + main() From 03186decef022dc35e6adee1a66619968812e0a9 Mon Sep 17 00:00:00 2001 From: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com> Date: Tue, 12 Mar 2024 21:33:28 -0400 Subject: [PATCH 69/99] Switch to using Cuda Flash Attn for Alibi (#1183) * add cuda support for flash attn w/ alibi, warn of deprecation of triton * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions --- configs/neox_arguments.md | 2 +- megatron/model/transformer.py | 63 ++++++++++++++++++---------- megatron/neox_arguments/arguments.py | 14 +++++-- 3 files changed, 51 insertions(+), 28 deletions(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 825d4eb60..1cf60302d 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 33f2842 + Default = fdac107 current git hash of repository diff --git a/megatron/model/transformer.py b/megatron/model/transformer.py index 533f29813..c6bf619f8 100644 --- a/megatron/model/transformer.py +++ b/megatron/model/transformer.py @@ -21,6 +21,8 @@ import torch import torch.nn.functional as F import torch.nn as nn +from pkg_resources import packaging +from importlib.metadata import version from .norms import get_norm from megatron import mpu @@ -412,6 +414,14 @@ def __init__( self.rope_fusion = neox_args.rope_fusion self.attention_type = neox_args.attention_config[layer_number] self.use_flash_attention = self.attention_type == "flash" + self.use_triton = ( + self.use_flash_attention + and self.pos_emb == "alibi" + and ( + not packaging.version.Version(version("flash-attn")) + >= packaging.version.Version("2.4.0.post1") + ) + ) self.sparse = self.attention_type not in ("global", "flash") if self.gqa: @@ -578,7 +588,7 @@ def flash_attention(self, query_layer, key_layer, value_layer): key_layer.size(0), ) - if self.pos_emb != "alibi": + if self.use_flash_attention and not self.use_triton: # [sk, b, np, hn] -> [b, sk, np, hn] -> [b * sk, 1, np, hn] key_layer = key_layer.transpose(0, 1).reshape( @@ -588,33 +598,13 @@ def flash_attention(self, query_layer, key_layer, value_layer): output_size[0], output_size[3], self.num_kv_heads_per_partition, -1 ) - batch_size = output_size[0] - max_seqlen_q = output_size[2] - max_seqlen_k = output_size[3] - - cu_seqlens_q = torch.arange( - 0, - (batch_size + 1) * max_seqlen_q, - step=max_seqlen_q, - dtype=torch.int32, - device=query_layer.device, - ) - - cu_seqlens_k = torch.arange( - 0, - (batch_size + 1) * max_seqlen_k, - step=max_seqlen_k, - dtype=torch.int32, - device=key_layer.device, - ) - # [sq, b, np, hn] -> [b, sq, np, hn] query_layer = query_layer.transpose(0, 1).reshape( output_size[0], output_size[2], output_size[1], -1 ) - # only pass in window_size kwarg to flash-attn - # if we use Sliding Window Attention. + # only pass in window_size or alibi_slopes kwarg + # if we use Sliding Window Attention / AliBi. # Flash attn defaults to (-1,-1), or # does not have this kwarg prior to v2.3.0 extra_kwargs = ( @@ -622,7 +612,32 @@ def flash_attention(self, query_layer, key_layer, value_layer): if self.sliding_window_width is not None else {} ) + if self.pos_emb == "alibi": + extra_kwargs["alibi_slopes"] = self.alibi_embed.slopes.to( + query_layer.device + ).to(torch.float32) + if not self.training: + batch_size = output_size[0] + max_seqlen_q = output_size[2] + max_seqlen_k = output_size[3] + + cu_seqlens_q = torch.arange( + 0, + (batch_size + 1) * max_seqlen_q, + step=max_seqlen_q, + dtype=torch.int32, + device=query_layer.device, + ) + + cu_seqlens_k = torch.arange( + 0, + (batch_size + 1) * max_seqlen_k, + step=max_seqlen_k, + dtype=torch.int32, + device=key_layer.device, + ) + q_shape = query_layer.shape k_shape = key_layer.shape v_shape = value_layer.shape @@ -662,6 +677,8 @@ def flash_attention(self, query_layer, key_layer, value_layer): matmul_result = matmul_result.transpose(1, 2) else: + # we still use Triton if using AliBi with flash-attn<2.4.0.post1. + # [sq, b, np, hn] -> [b, sq, np, hn] sq = query_layer.size(0) b = query_layer.size(1) diff --git a/megatron/neox_arguments/arguments.py b/megatron/neox_arguments/arguments.py index 7f5d89279..f06374e5d 100644 --- a/megatron/neox_arguments/arguments.py +++ b/megatron/neox_arguments/arguments.py @@ -1095,11 +1095,17 @@ def calculate_derived(self): self.num_kv_heads % self.model_parallel_size == 0 ), "Number of KV heads must be at least model_parallel_size for now!" # Flash attention version >=2.3.0 required to combine Flash + Sliding Window Attention - if self.sliding_window_width is not None and "flash" in self.attention_config: + if "flash" in self.attention_config: _flash_version = packaging.version.Version(version("flash-attn")) - assert _flash_version >= packaging.version.Version( - "2.3.0" - ), f"Flash-Attention version ({str(_flash_version)}) must be >= 2.3.0 to support sliding window attention." + if self.sliding_window_width is not None: + assert _flash_version >= packaging.version.Version( + "2.3.0" + ), f"Flash-Attention version ({str(_flash_version)}) must be >= 2.3.0 to support sliding window attention." + if self.pos_emb == "alibi": + if not _flash_version >= packaging.version.Version("2.4.0.post1"): + print( + f"Warning: Flash-Attention version ({str(_flash_version)}) must be >= 2.4.0.post1 to support AliBi. Falling back to flash-attn triton backend, but version 2.4.0.post1 or later will be required in future." + ) # Adding equal dataset weights if none are provided if self.train_data_paths and (self.train_data_weights is None): From 277141ebc37f59dac7ff9efa758cd425eed7c101 Mon Sep 17 00:00:00 2001 From: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com> Date: Fri, 15 Mar 2024 10:43:03 -0400 Subject: [PATCH 70/99] Mamba + Tensor Parallel Support (#1184) * TP works! * merge TP mamba changes with most current MambaLayer * cleanup TP, confirmed working still * make shapes with TP>1 work with conversion * tested and PP works, so no need for assert blocking it in arguments * update comment * Update NeoXArgs docs automatically * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions Co-authored-by: Quentin Anthony --- configs/neox_arguments.md | 2 +- megatron/model/gpt2_model.py | 8 +- megatron/model/mamba/__init__.py | 5 +- megatron/model/mamba/mamba.py | 106 ++++++++++++++--------- megatron/neox_arguments/arguments.py | 3 - tools/ckpts/convert_neox_to_mamba_ssm.py | 35 +++----- 6 files changed, 84 insertions(+), 75 deletions(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 1cf60302d..8b301cf8b 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = fdac107 + Default = f70c54d current git hash of repository diff --git a/megatron/model/gpt2_model.py b/megatron/model/gpt2_model.py index 807faac75..9c86d98d3 100644 --- a/megatron/model/gpt2_model.py +++ b/megatron/model/gpt2_model.py @@ -37,7 +37,7 @@ ParallelLinear, ) from megatron.model.gmlp import GMLPBlock -from megatron.model.mamba import MambaResidualLayerPipe +from megatron.model.mamba import ParallelMambaResidualLayerPipe from megatron.model.word_embeddings import EmbeddingPipe, SoftEmbedding # Pipeline parallelism @@ -138,7 +138,7 @@ def __init__( checkpointable_layers=[ "GMLPBlock", "ParallelTransformerLayerPipe", - "MambaResidualLayerPipe", + "ParallelMambaResidualLayerPipe", ], ) @@ -174,7 +174,7 @@ def insert_layers( checkpointable_layers=[ "GMLPBlock", "ParallelTransformerLayerPipe", - "MambaResidualLayerPipe", + "ParallelMambaResidualLayerPipe", ], ) @@ -254,7 +254,7 @@ def init_specs(self): elif layer_type in ["mamba"]: self.specs.append( LayerSpec( - MambaResidualLayerPipe, + ParallelMambaResidualLayerPipe, neox_args=self.neox_args, init_method=self.init_method, output_layer_init_method=self.output_layer_init_method, diff --git a/megatron/model/mamba/__init__.py b/megatron/model/mamba/__init__.py index b55311091..a024707ad 100644 --- a/megatron/model/mamba/__init__.py +++ b/megatron/model/mamba/__init__.py @@ -1 +1,4 @@ -from .mamba import MambaResidualLayer, MambaResidualLayerPipe +from .mamba import ( + ParallelMambaResidualLayer, + ParallelMambaResidualLayerPipe, +) diff --git a/megatron/model/mamba/mamba.py b/megatron/model/mamba/mamba.py index eedd19f40..d5d6b336f 100644 --- a/megatron/model/mamba/mamba.py +++ b/megatron/model/mamba/mamba.py @@ -19,10 +19,10 @@ pass from megatron.model.norms import get_norm +from megatron import mpu - -# Mamba layer, without parallelism. -class MambaBlock(nn.Module): +# Mamba sublayer, with tensor parallelism +class ParallelMambaBlock(nn.Module): def __init__( self, neox_args, @@ -58,22 +58,33 @@ def __init__( self.dt_min, self.dt_max, self.dt_init_floor = 0.001, 0.1, 1e-4 assert self.dt_init in ["constant", "random"] + # TP-specific setup + world_size = mpu.get_model_parallel_world_size() + self.d_inner_per_rank = mpu.divide(self.d_inner, world_size) + + if neox_args.mamba_inner_func_fusion and world_size > 1: + # as with gpt-j residual, we must manually reduce output from final proj + # across TP ranks, since it is not done by fused mamba_inner_fn . + self.reduce = mpu.mappings.reduce_from_model_parallel_region + # up-projection. - self.in_proj = nn.Linear( - self.d_model, - self.d_inner * 2, + self.in_proj = mpu.ColumnParallelLinear( + neox_args=neox_args, + input_size=self.d_model, + output_size=self.d_inner * 2, + gather_output=False, + init_method=init_method, + skip_bias_add=not neox_args.mamba_use_bias_in_linears, bias=neox_args.mamba_use_bias_in_linears, - **factory_kwargs, ) - init_method(self.in_proj.weight) - # convolution. + # convolution (parallelized across d_inner) self.conv1d = nn.Conv1d( - in_channels=self.d_inner, - out_channels=self.d_inner, + in_channels=self.d_inner_per_rank, + out_channels=self.d_inner_per_rank, bias=neox_args.mamba_use_bias_in_conv, kernel_size=self.d_conv, - groups=self.d_inner, + groups=self.d_inner_per_rank, padding=self.d_conv - 1, **factory_kwargs, ) @@ -81,27 +92,30 @@ def __init__( # Uncertain why self.conv1d.to(self.precision) - self.act_fn = F.silu # we do not allow for + self.act_fn = F.silu # we do not allow for other activation fns # x_proj corresponds to s_B(x), s_C(x), s_Delta(x) # in https://arxiv.org/pdf/2312.00752.pdf Algorithm 2 # (computes data-dependent B, C, Delta/dt) - self.x_proj = nn.Linear( - self.d_inner, - self.dt_rank + self.d_state * 2, + self.x_proj = mpu.RowParallelLinear( + neox_args=neox_args, + input_size=self.d_inner, + output_size=self.dt_rank + self.d_state * 2, + input_is_parallel=True, + init_method=init_method, + skip_bias_add=not neox_args.mamba_use_bias_in_linears, + parallel_output=True, bias=neox_args.mamba_use_bias_in_linears, - **factory_kwargs, ) - init_method(self.x_proj.weight) # up-project dt / Delta from dt_rank to d_inner - # dt_proj 's bias is a special case and I believe we should keep it turned on -- Alg. 2 in the Mamba paper (https://arxiv.org/abs/2312.00752) + # dt_proj 's bias is a special case and should be kept always turned on -- Alg. 2 in the Mamba paper (https://arxiv.org/abs/2312.00752) # defines Delta as Delta = Tau_{Delta}(Parameter + s_{Delta}(x)) where s_{Delta}(x) = Broadcast_{D}(Linear_{1}(x)) # or as they further explain in section 3.6 can be also s_{Delta}(x) = Linear_{D}(Linear_{R}(x)) where Linear_R # is the delta portion of x_proj and Linear_D is the dt_proj weight. Then, the Parameter term from Alg. 2 can # be viewed as the bias term in dt_proj, with a special initialization from https://arxiv.org/abs/2206.12037 self.dt_proj = nn.Linear( - self.dt_rank, self.d_inner, bias=True, **factory_kwargs + self.dt_rank, self.d_inner_per_rank, bias=True, **factory_kwargs ) # special init for dt_proj @@ -115,7 +129,7 @@ def __init__( # more dt_proj init stuff. copied from https://github.com/state-spaces/mamba/blob/009bec5ee37f586844a3fc89c040a9c1a9d8badf/mamba_ssm/modules/mamba_simple.py#L91-L101 dt = torch.exp( - torch.rand(self.d_inner, **factory_kwargs) + torch.rand(self.d_inner_per_rank, **factory_kwargs) * (math.log(self.dt_max) - math.log(self.dt_min)) + math.log(self.dt_min) ).clamp(min=self.dt_init_floor) @@ -133,7 +147,7 @@ def __init__( device=torch.cuda.current_device(), ), "n -> d n", - d=self.d_inner, + d=self.d_inner_per_rank, ).contiguous() A_log = torch.log(A).to( torch.float32 @@ -150,7 +164,9 @@ def __init__( # D parameter self.D = nn.Parameter( torch.ones( - self.d_inner, device=torch.cuda.current_device(), dtype=torch.float32 + self.d_inner_per_rank, + device=torch.cuda.current_device(), + dtype=torch.float32, ) ).to( torch.float32 @@ -163,14 +179,20 @@ def __init__( if self.neox_args.mamba_selective_fp32_params: self.D._deepspeed_no_cast = True - # out down-projection - self.out_proj = nn.Linear( - self.d_inner, - self.d_model, + # out down-projection. + # use "single_residual_scaled_normal" + # for output_layer_init_method + # to perform gpt-2 style scaled init as done in Mamba paper. + self.out_proj = mpu.RowParallelLinear( + neox_args=neox_args, + input_size=self.d_inner, + output_size=self.d_model, + input_is_parallel=True, + init_method=output_layer_init_method, + skip_bias_add=not neox_args.mamba_use_bias_in_linears, bias=neox_args.mamba_use_bias_in_linears, - **factory_kwargs, + parallel_output=False, ) - output_layer_init_method(self.out_proj.weight) def selective_scan( self, @@ -224,14 +246,8 @@ def forward(self, hidden_states): seqlen, batch, dim = hidden_states.shape # first up: perform in_proj - xz = einops.rearrange( - self.in_proj.weight @ einops.rearrange(hidden_states, "l b d -> d (b l)"), - "d (b l) -> b d l", - l=seqlen, - ) - - if self.in_proj.bias is not None: - xz = xz + einops.rearrange(self.in_proj.bias.to(dtype=xz.dtype), "d -> d 1") + xz, _ = self.in_proj(hidden_states) + xz = einops.rearrange(xz, "l b d -> b d l") A = -torch.exp(self.A_log.float()) # (d_inner, d_state) @@ -262,6 +278,12 @@ def forward(self, hidden_states): delta_bias=self.dt_proj.bias.float(), delta_softplus=True, ) + if getattr(self, "reduce", None): + # manually reduce after mamba_inner_fn + # to collect outputs from different TP ranks. + # handled by running self.out_proj(y) below + # so only needed here. + out = self.reduce(out) out = einops.rearrange(out, "b l h -> l b h") @@ -292,7 +314,7 @@ def forward(self, hidden_states): # ============== # project: perform s_B, s_C, s_Delta projections - x_dbl = self.x_proj(einops.rearrange(x, "b d l -> (b l) d")) + x_dbl, _ = self.x_proj(einops.rearrange(x, "b d l -> (b l) d")) # split into component dt, B, C dt, B, C = torch.split( x_dbl, [self.dt_rank, self.d_state, self.d_state], dim=-1 @@ -324,14 +346,14 @@ def forward(self, hidden_states): # =============== y = einops.rearrange(y, "b d l -> b l d") - out = self.out_proj(y) + out, _ = self.out_proj(y) out = einops.rearrange(out, "b l h -> l b h") return out -class MambaResidualLayer(nn.Module): +class ParallelMambaResidualLayer(nn.Module): """ Pre-norm Mamba Block with residual connection. No parallelism yet supported. """ @@ -352,7 +374,7 @@ def __init__( self.norm = norm(neox_args.hidden_size, eps=eps) - self.mixer = MambaBlock( + self.mixer = ParallelMambaBlock( neox_args=neox_args, init_method=init_method, output_layer_init_method=output_layer_init_method, @@ -369,7 +391,7 @@ def forward(self, x, attention_mask=None, layer_past=None): return hidden_states + residual -class MambaResidualLayerPipe(MambaResidualLayer): +class ParallelMambaResidualLayerPipe(ParallelMambaResidualLayer): """Extends MambaResidualLayer to forward attention_mask through the pipeline. DeepSpeed requires this.""" def forward(self, args): diff --git a/megatron/neox_arguments/arguments.py b/megatron/neox_arguments/arguments.py index f06374e5d..bf6e3f3e8 100644 --- a/megatron/neox_arguments/arguments.py +++ b/megatron/neox_arguments/arguments.py @@ -1061,9 +1061,6 @@ def calculate_derived(self): not self.partition_activations ), "GMLP Blocks are not compatible with partition activations" if "mamba" in self.attention_config: - assert ( - not self.is_pipe_parallel and self.model_parallel_size == 1 - ), "Mamba not currently compatible with parallelism" if isinstance(self.zero_stage, int): assert self.zero_stage <= 2, "Zero stage 3 not compatible with Mamba" assert ( diff --git a/tools/ckpts/convert_neox_to_mamba_ssm.py b/tools/ckpts/convert_neox_to_mamba_ssm.py index 386a79a57..f87b36954 100644 --- a/tools/ckpts/convert_neox_to_mamba_ssm.py +++ b/tools/ckpts/convert_neox_to_mamba_ssm.py @@ -27,24 +27,26 @@ """ ARCH = { "COLUMN_PARALLEL_LINEAR_KEYS": { + # these require concat across dim=0 "mixer.in_proj.weight": "mixer.in_proj.weight", # "mixer.in_proj.bias": "mixer.in_proj.bias", + "mixer.A_log": "mixer.A_log", + "mixer.D": "mixer.D", + "mixer.conv1d.weight": "mixer.conv1d.weight", + "mixer.conv1d.bias": "mixer.conv1d.bias", + "mixer.dt_proj.weight": "mixer.dt_proj.weight", + "mixer.dt_proj.bias": "mixer.dt_proj.bias", }, "ROW_PARALLEL_LINEAR_KEYS": { + # these require concat across dim=1 "mixer.out_proj.weight": "mixer.out_proj.weight", + "mixer.x_proj.weight": "mixer.x_proj.weight", }, "ROW_PARALLEL_BIAS_KEYS": { + # these require summing across ranks + # "mixer.x_proj.bias": "mixer.x_proj.bias", # "mixer.out_proj.bias": "mixer.out_proj.bias", }, - "NO_SHARD_KEYS": { - "mixer.A_log": "mixer.A_log", - "mixer.D": "mixer.D", - "mixer.x_proj.weight": "mixer.x_proj.weight", - "mixer.dt_proj.weight": "mixer.dt_proj.weight", - "mixer.dt_proj.bias": "mixer.dt_proj.bias", - "mixer.conv1d.weight": "mixer.conv1d.weight", - "mixer.conv1d.bias": "mixer.conv1d.bias", - }, "NORM_KEYS": { "norm.scale": "norm.weight", # "norm.bias": "norm.bias", @@ -226,15 +228,6 @@ def convert( ) ) - # Average params which aren't sharded across ranks. - # they should be the same across ranks, so should be fine - for key, hf_key in ARCH["NO_SHARD_KEYS"].items(): - state_dict[hf_key] = sum( - get_state( - loaded_tp_ranks, key, layer_idx=layer_i + 2, sequential=sequential - ) - ) / len(loaded_tp_ranks) - layer.load_state_dict(state_dict) if not sequential: @@ -320,12 +313,6 @@ def main(input_args=None, overwrite_values=None): action="store_true", help="Whether to skip saving the tokenizer alongside a model.", ) - parser.add_argument( - "--architecture", - type=str, - default="neox", - help="What HF model class type to export into.", - ) args = parser.parse_args(input_args) # validate arguments From 7267a74b4893529d87a084a1d8001126aa669a28 Mon Sep 17 00:00:00 2001 From: Lang Xu <59843980+R0n12@users.noreply.github.com> Date: Tue, 19 Mar 2024 17:32:54 -0400 Subject: [PATCH 71/99] [ZeRO-3] Partitioned init with `deepspeed.zero.Init()` (#1190) * added ds zero.Init() to get_model * Clean up conditional with block * pre-commit --------- Co-authored-by: Quentin Anthony --- megatron/training.py | 17 ++++++++++------- 1 file changed, 10 insertions(+), 7 deletions(-) diff --git a/megatron/training.py b/megatron/training.py index 98404c4ea..a0e408694 100644 --- a/megatron/training.py +++ b/megatron/training.py @@ -24,6 +24,7 @@ import math import sys +from contextlib import nullcontext import torch import deepspeed @@ -426,13 +427,15 @@ def get_model(neox_args, use_cache=False): # If mup isn't being used anyways, this has no effect. old_use_mup = neox_args.use_mup neox_args.use_mup = False - model = GPT2ModelPipe( - neox_args=neox_args, - num_tokentypes=0, - parallel_output=True, - topology=mpu.get_topology(), - use_cache=use_cache, - ) + + with deepspeed.zero.Init() if neox_args.zero_stage == 3 else nullcontext() as gs: + model = GPT2ModelPipe( + neox_args=neox_args, + num_tokentypes=0, + parallel_output=True, + topology=mpu.get_topology(), + use_cache=use_cache, + ) ### soft prompt tuning stuff ### if neox_args.soft_prompt_tuning is not None and neox_args.soft_prompt_tuning.get( From e6b5261398f23ab7d73137ac55e74cb7d78ebd79 Mon Sep 17 00:00:00 2001 From: edouardoyallon Date: Tue, 26 Mar 2024 11:27:14 -0400 Subject: [PATCH 72/99] Small typo in the README --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 4f851e7d4..ac806acca 100644 --- a/README.md +++ b/README.md @@ -415,7 +415,7 @@ python tools/datasets/preprocess_data.py \ You would then run training with the following settings added to your configuration file: ```yaml - "data-path": "data/mydataset/mydataset", + "data-path": "data/mydataset_text_document", ``` # Training and Finetuning From 1960b66c37b0b5a11c06a76e29961b1547616a70 Mon Sep 17 00:00:00 2001 From: Stella Biderman Date: Tue, 26 Mar 2024 15:42:49 -0400 Subject: [PATCH 73/99] Added more papers --- README.md | 31 +++++++++++++++++++++---------- 1 file changed, 21 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index ac806acca..ef6b844a1 100644 --- a/README.md +++ b/README.md @@ -11,7 +11,7 @@ This repository records [EleutherAI](https://www.eleuther.ai)'s library for trai GPT-NeoX leverages many of the same features and technologies as the popular Megatron-DeepSpeed library but with substantially increased usability and novel optimizations. Major features include: * Distributed training with ZeRO and 3D parallelism -* A wide variety of systems and hardwares, including launching via Slurm, MPI, and the IBM Job Step Manager, and has been run at scale on [AWS](https://aws.amazon.com/), [CoreWeave](https://www.coreweave.com/), [ORNL Summit](https://www.olcf.ornl.gov/summit/), [ORNL Frontier](https://www.olcf.ornl.gov/frontier/), [LUMI](https://www.lumi-supercomputer.eu/), and others. +* A wide variety of systems and hardwares, including launching via Slurm, MPI, and the IBM Job Step Manager, and has been run at scale on [AWS](https://aws.amazon.com/), [CoreWeave](https://www.coreweave.com/), Oak Ridge's [Summit](https://www.olcf.ornl.gov/summit/) and [Frontier](https://www.olcf.ornl.gov/frontier/), [Pacific Northwest National Laboratory](https://hpc.pnl.gov/index.shtml), Argonne's [Polaris](https://docs.alcf.anl.gov/polaris/data-science-workflows/applications/gpt-neox/), [LUMI](https://www.lumi-supercomputer.eu/), and more. * Cutting edge architectural innovations including rotary and alibi positional embeddings, parallel feedforward attention layers, and flash attention. * Predefined configurations for popular architectures including Pythia, PaLM, Falcon, and LLaMA 1 \& 2 * Curriculum Learning @@ -610,25 +610,32 @@ EleutherAI and our collaborators have used it in the following publications: - Kshitij Gupta, Benjamin Thérien, Adam Ibrahim, Mats Leon Richter, **Quentin Anthony**, Eugene Belilovsky, Irina Rish, and Timothée Lesort. "[Continual Pre-Training of Large Language Models: How to re-warm your model?](https://arxiv.org/abs/2308.04014)" In _Workshop on Efficient Systems for Foundation Models @ ICML_, 2023. - **Zhangir Azerbayev**, **Hailey Schoelkopf**, Keiran Paster, Marco Dos Santos, Stephen McAleer, Albert Q Jiang, Jia Deng, **Stella Biderman**, and Sean Welleck. "[Llemma: An open language model for mathematics]([https://arxiv.org/abs/2308.04014](https://arxiv.org/abs/2310.10631))" In _Math-AI Workshop @ NeurIPS_, 2023. - Alexander Havrilla, Maksym Zhuravinskyi, Duy Phung, Aman Tiwari, Jonathan Tow, **Stella Biderman**, **Quentin Anthony**, and **Louis Castricato**. "[trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback](https://aclanthology.org/2023.emnlp-main.530/)." In _Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing_, 2023. + - **Quentin Anthony**, **Jacob Hatef**, Deepak Narayanan, **Stella Biderman**, Stas Bekman, Junqi Yin, Aamir Shafi, Hari Subramoni, and Dhabaleswar Panda. "[The Case for Co-Designing Model Architectures with Hardware](https://arxiv.org/abs/2401.14489)." In _arXiv preprint_, 2024. + - Adam Ibrahim, Benjamin Thérien, Kshitij Gupta, Mats L. Richter, **Quentin Anthony**, Timothée Lesort, Eugene Belilovsky, Irina Rish. "[Simple and Scalable Strategies to Continually Pre-train Large Language Models](https://arxiv.org/abs/2403.08763)." In _arXiv preprint_, 2024. + - Junqi Yin, Avishek Bose, Guojing Cong, Isaac Lyngaas, **Quentin Anthony**. "[Comparative Study of Large Language Model Architectures on Frontier](https://arxiv.org/abs/2402.00691)." In _arXiv preprint_, 2024. The following publications by other research groups use this library: -- Ta-Chung Chi, Ting-Han Fan, Peter J. Ramadge, and Alexander Rudnicky. "[KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation](https://arxiv.org/abs/2205.09921)." In *Advances in Neural Information Processing Systems* 35 (2022). +- Ta-Chung Chi, Ting-Han Fan, Peter J. Ramadge, and Alexander Rudnicky. "[KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation](https://arxiv.org/abs/2205.09921)." In *Advances in Neural Information Processing Systems* 35, 2022. - Sameera Horawalavithana, Ellyn Ayton, Shivam Sharma, Scott Howland, Megha Subramanian, Scott Vasquez, Robin Cosbey, Maria Glenski, and Svitlana Volkova. "[Foundation Models of Scientific Knowledge for Chemistry: Opportunities, Challenges and Lessons Learned](https://aclanthology.org/2022.bigscience-1.12/)." In *Proceedings of the ACL Workshop on Challenges \& Perspectives in Creating Large Language Models*, 2022. - Sophia Kolak, Ruben Martins, Claire Le Goues, and Vincent J. Hellendoorn. "[Patch Generation with Language Models: Feasibility and Scaling Behavior](https://par.nsf.gov/biblio/10340618)"." In *Proceedings of the Deep Learning for Code Workshop at ICLR*, 2022. - Frank F. Xu, Uri Alon, Graham Neubig, and Vincent J. Hellendoorn. "[A Systematic Evaluation of Large Language Models of Code](https://arxiv.org/abs/2202.13169)." In *Proceedings of the ICLR Workshop on Deep Learning For Code*, 2022. -- Eghbal A. Hosseini, Martin A. Schrimpf, Yian Zhang, Samuel Bowman, Noga Zaslavsky, and Evelina Fedorenko. "[Artificial neural network language models align neurally and behaviorally with humans even after a developmentally realistic amount of training.](https://www.biorxiv.org/content/10.1101/2022.10.04.510681)" _BioRxiv_, 2022. - Byung-Doh Oh and William Schuler. "[Transformer-Based LM Surprisal Predicts Human Reading Times Best with About Two Billion Training Tokens](https://arxiv.org/abs/2304.11389)." In *Findings of the Association for Computational Linguistics*, 2023. - Ta-Chung Chi, Ting-Han Fan, Alexander Rudnicky, and Peter Ramadge. "[Dissecting Transformer Length Extrapolation via the Lens of Receptive Field Analysis](https://aclanthology.org/2023.acl-long.756/)." In _Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)_, pp. 13522-13537, 2023. -- Ta-Chung Chi, Ting-Han Fan, Li-Wei Chen, Alexander Rudnicky, and Peter Ramadge. "[Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings](https://aclanthology.org/2023.acl-short.102/)." In _Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)_, pp. 13522-13537 (2023). +- Ta-Chung Chi, Ting-Han Fan, Li-Wei Chen, Alexander Rudnicky, and Peter Ramadge. "[Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings](https://aclanthology.org/2023.acl-short.102/)." In _Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)_, pp. 13522-13537, 2023. - Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, and Jun Wang. "[ChessGPT: Bridging Policy Learning and Language Modeling.](https://arxiv.org/abs/2306.09200)" _arXiv preprint arXiv:2306.09200_, 2023. - Orion Walker Dollar, Sameera Horawalavithana, Scott Vasquez, W. James Pfaendtner, and Svitlana Volkova. "[MolJET: Multimodal Joint Embedding Transformer for Conditional de novo Molecular Design and Multi-Property Optimization.](https://openreview.net/pdf?id=7UudBVsIrr)" _preprint under review_, 2023. - Jean Kaddour and Qi Liu. "[Text Data Augmentation in Low-Resource Settings via Fine-Tuning of Large Language Models](https://arxiv.org/abs/2310.01119)." _arXiv:2310.01119_, 2023. - Alon Albalak, Liangming Pan, Colin Raffel, and William Yang Wang. "[Efficient Online Data Mixing For Language Model Pre-Training](https://arxiv.org/abs/2312.02406)." In _NeurIPS Workshop on R0-FoMo: Robustness of Few-shot and Zero-shot Learning in Large Foundation Models_, 2023. -- Eghbal A. Hosseini and Evelina Fedorenko. "[Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language](https://www.biorxiv.org/content/10.1101/2023.11.05.564832v1)." _bioRxiv_, 2023. -- Junqi Yin, Sajal Dash, Feiyi Wang, and Mallikarjun Shankar. "[FORGE: Pre-Training Open Foundation Models for Science](https://dl.acm.org/doi/abs/10.1145/3581784.3613215). _Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis_, 1-13, 2023. -- Jean Kaddour and Qi Liu. "[Text Data Augmentation in Low-Resource Settings via Fine-Tuning of Large Language Models](https://arxiv.org/abs/2310.01119)." _arXiv preprint arXiv:2310.01119_, 2023. -- Peng Di, Jianguo Li, Hang Yu, Wei Jiang, Wenting Cai, Yang Cao, Chaoyu Chen, Dajun Chen, Hongwei Chen, Liang Chen, Gang Fan, Jie Gong, Zi Gong, Wen Hu, Tingting Guo, Zhichao Lei, Ting Li, Zheng Li, Ming Liang, Cong Liao, Bingchang Liu, Jiachen Liu, Zhiwei Liu, Shaojun Lu, Min Shen, Guangpei Wang, Huan Wang, Zhi Wang, Zhaogui Xu, Jiawei Yang, Qing Ye, Gehao Zhang, Yu Zhang, Zelin Zhao, Xunjin Zheng, Hailian Zhou, Lifu Zhu, and Xianying Zhu. "[CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model](https://arxiv.org/abs/2310.06266)." _arXiv preprint arXiv:2310.06266_, 2023. -- Nikitha Rao, Kush Jain, Uri Alon, Claire Le Goues, and Vincent J Hellendoorn. "[CAT-LM Training Language Models on Aligned Code And Tests](https://arxiv.org/abs/2310.01602)." _38th IEEE/ACM International Conference on Automated Software Engineering (ASE)_, pp. 409-420. IEEE, 2023. +- Eghbal A. Hosseini and Evelina Fedorenko. "[Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language](https://www.biorxiv.org/content/10.1101/2023.11.05.564832v1)." In _Neural Information Processing Systems_, 2023. +- Junqi Yin, Sajal Dash, Feiyi Wang, and Mallikarjun Shankar. "[FORGE: Pre-Training Open Foundation Models for Science](https://dl.acm.org/doi/abs/10.1145/3581784.3613215). In _Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis_, 1-13, 2023. +- Jean Kaddour and Qi Liu. "[Text Data Augmentation in Low-Resource Settings via Fine-Tuning of Large Language Models](https://arxiv.org/abs/2310.01119)." In _arXiv preprint arXiv:2310.01119_, 2023. +- Peng Di, Jianguo Li, Hang Yu, Wei Jiang, Wenting Cai, Yang Cao, Chaoyu Chen, Dajun Chen, Hongwei Chen, Liang Chen, Gang Fan, Jie Gong, Zi Gong, Wen Hu, Tingting Guo, Zhichao Lei, Ting Li, Zheng Li, Ming Liang, Cong Liao, Bingchang Liu, Jiachen Liu, Zhiwei Liu, Shaojun Lu, Min Shen, Guangpei Wang, Huan Wang, Zhi Wang, Zhaogui Xu, Jiawei Yang, Qing Ye, Gehao Zhang, Yu Zhang, Zelin Zhao, Xunjin Zheng, Hailian Zhou, Lifu Zhu, and Xianying Zhu. "[CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model](https://arxiv.org/abs/2310.06266)." In _arXiv preprint arXiv:2310.06266_, 2023. +- Nikitha Rao, Kush Jain, Uri Alon, Claire Le Goues, and Vincent J Hellendoorn. "[CAT-LM Training Language Models on Aligned Code And Tests](https://arxiv.org/abs/2310.01602)." In _38th IEEE/ACM International Conference on Automated Software Engineering (ASE)_, pp. 409-420. IEEE, 2023. +- Pratyush Patel, Esha Choukse, Chaojie Zhang, Íñigo Goiri, Brijesh Warrier, Nithish Mahalingam, Ricardo Bianchini. "[POLCA: Power Oversubscription in LLM Cloud Providers](https://arxiv.org/abs/2308.12908)." In _arXiv preprint_, 2023. +- Junqi Yin, Sajal Dash, John Gounley, Feiyi Wang, and Georgia Tourassi. "[Evaluation of pre-training large language models on leadership-class supercomputers](https://link.springer.com/article/10.1007/s11227-023-05479-7)." In _the Journal of Supercomputing_ 79, no. 18, 2023. +- Tal Kadosh, Niranjan Hasabnis, Vy A. Vo, Nadav Schneider, Neva Krien, Mihai Capota, Abdul Wasay, Nesreen Ahmed, Ted Willke, Guy Tamir, Yuval Pinter, Timothy Mattson, and Gal Oren. "[Domain-Specific Code Language Models: Unraveling the Potential for HPC Codes and Tasks](https://arxiv.org/abs/2312.13322)." In _arXiv preprint_, 2023. +- Eghbal A. Hosseini, Martin A. Schrimpf, Yian Zhang, Samuel Bowman, Noga Zaslavsky, and Evelina Fedorenko. "[Artificial neural network language models align neurally and behaviorally with humans even after a developmentally realistic amount of training.](https://www.biorxiv.org/content/10.1101/2022.10.04.510681)" In _Neurobiology of Language_, 2024. +- Xiongye Xiao, Chenyu Zhou, Heng Ping, Defu Cao, Yaxing Li, Yizhuo Zhou, Shixuan Li, and Paul Bogdan. "[Exploring Neuron Interactions and Emergence in LLMs: From the Multifractal Analysis Perspective](https://arxiv.org/abs/2402.09099)." In _arXiv preprint_, 2024. ## Models The following models were trained using this library: @@ -640,7 +647,6 @@ The following models were trained using this library: - Together.ai's [RedPajama-INCITE (3B and 7B)](https://together.ai/blog/redpajama-models-v1) - Carnegie Mellon University's [proofGPT (1.3B and 6.7B)](https://huggingface.co/hoskinson-center/proofGPT-v0.1-6.7B) - Dampish's [StellarX (2.8B and 4B)](https://huggingface.co/Dampish/StellarX-4B-V0.2) -- Oak Ridge National Lab's [FORGE (26B)](https://github.com/at-aaims/forge) ### Non-English LLMs - EleutherAI's [Polyglot-Ko (1.3B through 12.8B)](https://github.com/EleutherAI/polyglot) (Korean) @@ -658,6 +664,11 @@ The following models were trained using this library: - StabilityAI's [StableCode (1.3B)](https://stability.ai/blog/stablecode-llm-generative-ai-coding) and [StableCode-Completion-Alpha (3B)](https://stability.ai/blog/stablecode-llm-generative-ai-coding) - CodeFuse AI's [CodeFuse (13B)](https://huggingface.co/codefuse-ai/CodeFuse-13B) +### AI for Science +- Oak Ridge National Lab's [FORGE (26B)](https://github.com/at-aaims/forge) +- Oak Ridge National Lab and EleutherAI's [Unnamed Material Science Domain Models (7B)](https://github.com/at-aaims/forge) +- Pacific Northwest National Lab's [MolJet (undisclosed size)](https://openreview.net/pdf?id=7UudBVsIrr) + ### Other Modalities - University College London's [ChessGPT-3B](https://huggingface.co/Waterhorse/chessgpt-base-v1) - Gretel's [Text-to-Table (3B)](https://huggingface.co/gretelai/text2table) From 361665867458a047ebec4fb034ab2e167641d5f8 Mon Sep 17 00:00:00 2001 From: Stella Biderman Date: Tue, 26 Mar 2024 15:53:39 -0400 Subject: [PATCH 74/99] Update README.md --- README.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/README.md b/README.md index ef6b844a1..7b7bf1739 100644 --- a/README.md +++ b/README.md @@ -634,8 +634,10 @@ The following publications by other research groups use this library: - Pratyush Patel, Esha Choukse, Chaojie Zhang, Íñigo Goiri, Brijesh Warrier, Nithish Mahalingam, Ricardo Bianchini. "[POLCA: Power Oversubscription in LLM Cloud Providers](https://arxiv.org/abs/2308.12908)." In _arXiv preprint_, 2023. - Junqi Yin, Sajal Dash, John Gounley, Feiyi Wang, and Georgia Tourassi. "[Evaluation of pre-training large language models on leadership-class supercomputers](https://link.springer.com/article/10.1007/s11227-023-05479-7)." In _the Journal of Supercomputing_ 79, no. 18, 2023. - Tal Kadosh, Niranjan Hasabnis, Vy A. Vo, Nadav Schneider, Neva Krien, Mihai Capota, Abdul Wasay, Nesreen Ahmed, Ted Willke, Guy Tamir, Yuval Pinter, Timothy Mattson, and Gal Oren. "[Domain-Specific Code Language Models: Unraveling the Potential for HPC Codes and Tasks](https://arxiv.org/abs/2312.13322)." In _arXiv preprint_, 2023. +- Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Jindong Li, Kang Sun, and Yi Zeng. "[Astrocyte-Enabled Advancements in Spiking Neural Networks for Large Language Modeling](https://arxiv.org/abs/2312.07625)." In _arXiv preprint_, 2023. - Eghbal A. Hosseini, Martin A. Schrimpf, Yian Zhang, Samuel Bowman, Noga Zaslavsky, and Evelina Fedorenko. "[Artificial neural network language models align neurally and behaviorally with humans even after a developmentally realistic amount of training.](https://www.biorxiv.org/content/10.1101/2022.10.04.510681)" In _Neurobiology of Language_, 2024. - Xiongye Xiao, Chenyu Zhou, Heng Ping, Defu Cao, Yaxing Li, Yizhuo Zhou, Shixuan Li, and Paul Bogdan. "[Exploring Neuron Interactions and Emergence in LLMs: From the Multifractal Analysis Perspective](https://arxiv.org/abs/2402.09099)." In _arXiv preprint_, 2024. +- Zhiyuan Zeng, Qipeng Guo, Zhaoye Fei, Zhangyue Yin, Yunhua Zhou, Linyang Li, Tianxiang Sun, Hang Yan, Dahua Lin, and Xipeng Qiu. "[Turn Waste into Worth: Rectifying Top-k Router of MoE](https://arxiv.org/abs/2402.12399)." In _arXiv preprint_, 2024. ## Models The following models were trained using this library: @@ -647,6 +649,7 @@ The following models were trained using this library: - Together.ai's [RedPajama-INCITE (3B and 7B)](https://together.ai/blog/redpajama-models-v1) - Carnegie Mellon University's [proofGPT (1.3B and 6.7B)](https://huggingface.co/hoskinson-center/proofGPT-v0.1-6.7B) - Dampish's [StellarX (2.8B and 4B)](https://huggingface.co/Dampish/StellarX-4B-V0.2) +- Chinese Academy of Sciences's [AstroSNN (1.5B)](https://arxiv.org/abs/2312.07625) ### Non-English LLMs - EleutherAI's [Polyglot-Ko (1.3B through 12.8B)](https://github.com/EleutherAI/polyglot) (Korean) From 977448ef8e4a4fb6d7b7014f383beca1e34b6a18 Mon Sep 17 00:00:00 2001 From: jaimemcc <99298642+jaimemcc-intel@users.noreply.github.com> Date: Mon, 1 Apr 2024 09:21:45 -0700 Subject: [PATCH 75/99] making PR triggered CPU test for changes to megatron (#1195) * making PR triggered CPU test for changes to megatron * Update NeoXArgs docs automatically * pre-commit * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions Co-authored-by: Quentin Anthony --- .github/workflows/cpu_ci_on_pr.yml | 69 ++++++++++++++++++++++++++++++ configs/neox_arguments.md | 2 +- 2 files changed, 70 insertions(+), 1 deletion(-) create mode 100644 .github/workflows/cpu_ci_on_pr.yml diff --git a/.github/workflows/cpu_ci_on_pr.yml b/.github/workflows/cpu_ci_on_pr.yml new file mode 100644 index 000000000..645fc5845 --- /dev/null +++ b/.github/workflows/cpu_ci_on_pr.yml @@ -0,0 +1,69 @@ +name: "Pull Request CPU Tests" + +on: + pull_request: + paths: # job only triggers when the PR changes files under megatron directory + - "megatron/**" + +jobs: + run-tests: + runs-on: [ 'test', 'self-hosted' ] + steps: + - name: Checkout Repo + uses: actions/checkout@v4 + + - name: Install Python + uses: actions/setup-python@v4 + with: + python-version: "3.8" + cache: "pip" + cache-dependency-path: "**/requirements*.txt" + + - name: Upgrade Pip + run: python -m pip install --upgrade pip + + - name: Set up Docker repository # this should possibly be done by the worker before the job starts in the interest of execution time? + run: | + # Add Docker's official GPG key: + sudo apt-get update -y + sudo apt-get install ca-certificates curl -y + sudo install -m 0755 -d /etc/apt/keyrings + sudo curl -fsSL https://download.docker.com/linux/ubuntu/gpg -o /etc/apt/keyrings/docker.asc + sudo chmod a+r /etc/apt/keyrings/docker.asc + + # Add the repository to Apt sources: + echo \ + "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc] https://download.docker.com/linux/ubuntu \ + $(. /etc/os-release && echo "$VERSION_CODENAME") stable" | \ + sudo tee /etc/apt/sources.list.d/docker.list > /dev/null + sudo apt-get update + - name: Docker installation # this should possibly be done by the worker before the job starts in the interest of execution time? + run: | + sudo apt-get install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin -y + sudo docker run hello-world + - name: Prepare data + run: | + python prepare_data.py -d ./data + - name: Remove previous container + run: | + if docker ps -a | grep -q "$CONTAINER"; then + echo "Container already exists, deleting it..." + docker rm -f $CONTAINER + fi + - name: Create container + run: | + export NEOX_DATA_PATH='./data/enwik8' + export NEOX_CHECKPOINT_PATH='/mnt/sda/checkpoints' #todo: where do I get this? + docker compose run -d --build --name $CONTAINER gpt-neox tail -f /dev/null + - name: Install test requirements + run: | + docker exec $CONTAINER pip install -r /workspace/requirements-dev.txt + - name: Execute CPU tests 1 + run: | + docker exec $CONTAINER sh -c "cd gpt-neox && pytest tests -m cpu" + - name: Execute CPU tests 2 + run: | + docker exec $CONTAINER sh -c "cd gpt-neox && PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python pytest tests -m cpu" + - name: Generate report + run: | + docker exec $CONTAINER python -m http.server --directory htmlcov 8000 diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 8b301cf8b..f0ea55eeb 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = f70c54d + Default = 11a5537 current git hash of repository From 51a7de987f0fff21c59446fffa44c4987df03bb1 Mon Sep 17 00:00:00 2001 From: Lang Xu <59843980+R0n12@users.noreply.github.com> Date: Mon, 1 Apr 2024 12:32:55 -0400 Subject: [PATCH 76/99] [AMD] Supporting fused kernels build using JIT (#1188) * initial JIT load functions * passing neox_arge to load() as optional for easy testing * modified headers for correct copyright statements --- megatron/fused_kernels/__init__.py | 144 +++++++++++++++++- .../scaled_masked_softmax_cuda.cu | 2 + ...scaled_upper_triang_masked_softmax_cuda.cu | 2 + megatron/initialize.py | 1 + tests/model/test_fused_kernels.py | 4 + 5 files changed, 149 insertions(+), 4 deletions(-) diff --git a/megatron/fused_kernels/__init__.py b/megatron/fused_kernels/__init__.py index f6ac063ce..1e4c9efac 100644 --- a/megatron/fused_kernels/__init__.py +++ b/megatron/fused_kernels/__init__.py @@ -1,3 +1,6 @@ +# Copyright (c) 2024, EleutherAI +# This file is based on code by the authors denoted below and has been modified from its original version. +# # Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); @@ -11,14 +14,15 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. +# +# This file has been modified from its original version +# import os import pathlib import subprocess - -from pathlib import Path - -srcpath = Path(__file__).parent.absolute() +import torch +from torch.utils import cpp_extension # Setting this param to a list has a problem of generating different # compilation commands (with different order of architectures) and @@ -28,6 +32,138 @@ os.environ["TORCH_CUDA_ARCH_LIST"] = "" +def load(neox_args=None): + + # Check if cuda 11 is installed for compute capability 8.0 + cc_flag = [] + if torch.version.hip is None: + _, bare_metal_major, bare_metal_minor = _get_cuda_bare_metal_version( + cpp_extension.CUDA_HOME + ) + if int(bare_metal_major) >= 11: + cc_flag.append("-gencode") + cc_flag.append("arch=compute_80,code=sm_80") + if int(bare_metal_minor) >= 1: + cc_flag.append("-gencode") + cc_flag.append("arch=compute_86,code=sm_86") + if int(bare_metal_minor) >= 4: + cc_flag.append("-gencode") + cc_flag.append("arch=compute_87,code=sm_87") + if int(bare_metal_minor) >= 8: + cc_flag.append("-gencode") + cc_flag.append("arch=compute_89,code=sm_89") + if int(bare_metal_major) >= 12: + cc_flag.append("-gencode") + cc_flag.append("arch=compute_90,code=sm_90") + + # Build path + srcpath = pathlib.Path(__file__).parent.absolute() + buildpath = srcpath / "build" + _create_build_dir(buildpath) + + # Determine verbosity + verbose = True if neox_args is None else (neox_args.rank == 0) + + # Helper function to build the kernels. + def _cpp_extention_load_helper( + name, sources, extra_cuda_flags, extra_include_paths + ): + if torch.version.hip is not None: + extra_cuda_cflags = ["-O3"] + extra_cuda_flags + cc_flag + else: + extra_cuda_cflags = ( + ["-O3", "-gencode", "arch=compute_70,code=sm_70", "--use_fast_math"] + + extra_cuda_flags + + cc_flag + ) + + return cpp_extension.load( + name=name, + sources=sources, + build_directory=buildpath, + extra_cflags=[ + "-O3", + ], + extra_cuda_cflags=extra_cuda_cflags, + extra_include_paths=extra_include_paths, + verbose=verbose, + ) + + # ============== + # Fused softmax. + # ============== + + if torch.version.hip is not None: + extra_include_paths = [os.path.abspath(srcpath)] + else: + extra_include_paths = [] + + if torch.version.hip is not None: + extra_cuda_flags = [ + "-D__HIP_NO_HALF_OPERATORS__=1", + "-D__HIP_NO_HALF_CONVERSIONS__=1", + ] + else: + extra_cuda_flags = [ + "-U__CUDA_NO_HALF_OPERATORS__", + "-U__CUDA_NO_HALF_CONVERSIONS__", + "--expt-relaxed-constexpr", + "--expt-extended-lambda", + ] + + # Upper triangular softmax. + sources = [ + srcpath / "scaled_upper_triang_masked_softmax.cpp", + srcpath / "scaled_upper_triang_masked_softmax_cuda.cu", + ] + scaled_upper_triang_masked_softmax_cuda = _cpp_extention_load_helper( + "scaled_upper_triang_masked_softmax_cuda", + sources, + extra_cuda_flags, + extra_include_paths, + ) + # Masked softmax. + sources = [ + srcpath / "scaled_masked_softmax.cpp", + srcpath / "scaled_masked_softmax_cuda.cu", + ] + scaled_masked_softmax_cuda = _cpp_extention_load_helper( + "scaled_masked_softmax_cuda", sources, extra_cuda_flags, extra_include_paths + ) + # fused rope + sources = [ + srcpath / "fused_rotary_positional_embedding.cpp", + srcpath / "fused_rotary_positional_embedding_cuda.cu", + ] + fused_rotary_positional_embedding_cuda = _cpp_extention_load_helper( + "fused_rotary_positional_embedding_cuda", + sources, + extra_cuda_flags, + extra_include_paths, + ) + + +def _get_cuda_bare_metal_version(cuda_dir): + raw_output = subprocess.check_output( + [cuda_dir + "/bin/nvcc", "-V"], universal_newlines=True + ) + output = raw_output.split() + release_idx = output.index("release") + 1 + release = output[release_idx].split(".") + bare_metal_major = release[0] + bare_metal_minor = release[1][0] + + return raw_output, bare_metal_major, bare_metal_minor + + +def _create_build_dir(buildpath): + try: + os.mkdir(buildpath) + except OSError: + if not os.path.isdir(buildpath): + print(f"Creation of the build directory {buildpath} failed") + + def load_fused_kernels(): try: import scaled_upper_triang_masked_softmax_cuda diff --git a/megatron/fused_kernels/scaled_masked_softmax_cuda.cu b/megatron/fused_kernels/scaled_masked_softmax_cuda.cu index 26c2d1820..7479713ec 100644 --- a/megatron/fused_kernels/scaled_masked_softmax_cuda.cu +++ b/megatron/fused_kernels/scaled_masked_softmax_cuda.cu @@ -18,7 +18,9 @@ #include #include #include +#ifndef __HIP_PLATFORM_HCC__ #include +#endif #include #include #include "scaled_masked_softmax.h" diff --git a/megatron/fused_kernels/scaled_upper_triang_masked_softmax_cuda.cu b/megatron/fused_kernels/scaled_upper_triang_masked_softmax_cuda.cu index 99a52abd5..475c16833 100644 --- a/megatron/fused_kernels/scaled_upper_triang_masked_softmax_cuda.cu +++ b/megatron/fused_kernels/scaled_upper_triang_masked_softmax_cuda.cu @@ -18,7 +18,9 @@ #include #include #include +#ifndef __HIP_PLATFORM_HCC__ #include +#endif #include #include #include "scaled_upper_triang_masked_softmax.h" diff --git a/megatron/initialize.py b/megatron/initialize.py index 72779b094..29afe7f9a 100644 --- a/megatron/initialize.py +++ b/megatron/initialize.py @@ -59,6 +59,7 @@ def finish_mpu_init(): or neox_args.scaled_masked_softmax_fusion or neox_args.rope_fusion ): + fused_kernels.load(neox_args) fused_kernels.load_fused_kernels() if neox_args.lazy_mpu_init: diff --git a/tests/model/test_fused_kernels.py b/tests/model/test_fused_kernels.py index b8cb34d1b..cc458bf4a 100644 --- a/tests/model/test_fused_kernels.py +++ b/tests/model/test_fused_kernels.py @@ -22,6 +22,7 @@ from transformers import BertTokenizer, GPT2Tokenizer from transformers.models.bert.modeling_bert import BertModel from transformers.models.gpt2.modeling_gpt2 import GPT2Model +from megatron.fused_kernels import load import transformers transformers.logging.set_verbosity( @@ -33,6 +34,7 @@ reason="ModuleNotFoundError: No module named 'scaled_masked_softmax_cuda'" ) def test_load_fused_kernels(): + load() try: import scaled_masked_softmax_cuda import scaled_upper_triang_masked_softmax_cuda @@ -47,6 +49,7 @@ def test_load_fused_kernels(): @pytest.mark.xfail(reason="SystemExit: None") def test_fused_softmax(): + load() from megatron.model.fused_softmax import FusedScaleMaskSoftmax, SoftmaxFusionTypes from megatron.model.gpt2_model import ( gpt2_attention_mask_func as attention_mask_func, @@ -149,6 +152,7 @@ def test_fused_softmax(): @pytest.mark.xfail(reason="SystemExit: None") def test_fused_upper_triangle_mask_softmax(): + load() from megatron.model.gpt2_model import ( gpt2_attention_mask_func as attention_mask_func, ) From 01657aa243aed07701660a2dd486434349daa72e Mon Sep 17 00:00:00 2001 From: Lang Xu <59843980+R0n12@users.noreply.github.com> Date: Mon, 1 Apr 2024 12:36:47 -0400 Subject: [PATCH 77/99] [ZeRO-3] Ensured passing neox deepspeed_config when using partitioned init (#1191) * added ds zero.Init() to get_model * Clean up conditional with block * pre-commit * ensured deepspeed configs are passed to init --------- Co-authored-by: Quentin Anthony --- megatron/training.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/megatron/training.py b/megatron/training.py index a0e408694..1ee5d256d 100644 --- a/megatron/training.py +++ b/megatron/training.py @@ -428,7 +428,9 @@ def get_model(neox_args, use_cache=False): old_use_mup = neox_args.use_mup neox_args.use_mup = False - with deepspeed.zero.Init() if neox_args.zero_stage == 3 else nullcontext() as gs: + with deepspeed.zero.Init( + config_dict_or_path=neox_args.deespeed_config + ) if neox_args.zero_stage == 3 else nullcontext() as gs: model = GPT2ModelPipe( neox_args=neox_args, num_tokentypes=0, From 703d02ff42e5a333cf1708254c37b10d4451bf18 Mon Sep 17 00:00:00 2001 From: Quentin Anthony Date: Wed, 24 Apr 2024 10:14:09 -0400 Subject: [PATCH 78/99] Fix flash config for llama2/70B.yml config (#1206) --- configs/llama2/70B.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/configs/llama2/70B.yml b/configs/llama2/70B.yml index 286a1b568..615ae5d68 100644 --- a/configs/llama2/70B.yml +++ b/configs/llama2/70B.yml @@ -20,7 +20,7 @@ "norm": "rmsnorm", "rms_norm_epsilon": 1.0e-5, - "attention_config": [[["flash"], 48]], + "attention_config": [[["flash"], 80]], "scaled_upper_triang_masked_softmax_fusion": true, "bias_gelu_fusion": false, From 838d5bfc3c5b0c03c9037c5fe72e4fa8ebf00c6a Mon Sep 17 00:00:00 2001 From: Stella Biderman Date: Thu, 25 Apr 2024 14:31:28 -0400 Subject: [PATCH 79/99] Fixes a weird typo (#1207) * Fixes a weird typo * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions --- configs/neox_arguments.md | 2 +- megatron/training.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index f0ea55eeb..8bc184720 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 11a5537 + Default = 4e37645 current git hash of repository diff --git a/megatron/training.py b/megatron/training.py index 1ee5d256d..4ce5994a5 100644 --- a/megatron/training.py +++ b/megatron/training.py @@ -429,7 +429,7 @@ def get_model(neox_args, use_cache=False): neox_args.use_mup = False with deepspeed.zero.Init( - config_dict_or_path=neox_args.deespeed_config + config_dict_or_path=neox_args.deepspeed_config ) if neox_args.zero_stage == 3 else nullcontext() as gs: model = GPT2ModelPipe( neox_args=neox_args, From 9d9d7c8f5255fe261386bbcf0be6705644a982aa Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Sat, 4 May 2024 13:13:24 -0400 Subject: [PATCH 80/99] Bump transformers from 4.36.0 to 4.38.0 in /requirements (#1199) Bumps [transformers](https://github.com/huggingface/transformers) from 4.36.0 to 4.38.0. - [Release notes](https://github.com/huggingface/transformers/releases) - [Commits](https://github.com/huggingface/transformers/compare/v4.36.0...v4.38.0) --- updated-dependencies: - dependency-name: transformers dependency-type: direct:production ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- requirements/requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements/requirements.txt b/requirements/requirements.txt index bb14909c1..a051200b5 100644 --- a/requirements/requirements.txt +++ b/requirements/requirements.txt @@ -12,4 +12,4 @@ sentencepiece six tiktoken>=0.1.2 tokenizers>=0.12.1 -transformers==4.36.0 +transformers==4.38.0 From 06e5f0c2fe3b61d54496c0545ce4afbe4099120c Mon Sep 17 00:00:00 2001 From: jaimemcc <99298642+jaimemcc-intel@users.noreply.github.com> Date: Sat, 4 May 2024 10:14:26 -0700 Subject: [PATCH 81/99] Jaimemcc intel/ci composite cpu tests (#1205) * split PR and CPU tests into separate work; adjust references to env variables in workflow * tweaking to pull compose file from CPU test dir * adding post-cleanup for portability; adding workflow_dispatch to test * fixing mapping * forgot shell declaration in composite run * make sure all steps run even if first CPU tests fail * adding workflow dispatch to manually call workflow; removing httpserver * Update NeoXArgs docs automatically * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions Co-authored-by: Quentin Anthony --- .github/workflows/cpu_ci_dispatch.yml | 20 ++++++ .github/workflows/cpu_ci_on_pr.yml | 64 ++---------------- configs/neox_arguments.md | 2 +- tests/cpu_tests/action.yml | 96 +++++++++++++++++++++++++++ tests/cpu_tests/docker-compose.yml | 21 ++++++ 5 files changed, 144 insertions(+), 59 deletions(-) create mode 100644 .github/workflows/cpu_ci_dispatch.yml create mode 100644 tests/cpu_tests/action.yml create mode 100644 tests/cpu_tests/docker-compose.yml diff --git a/.github/workflows/cpu_ci_dispatch.yml b/.github/workflows/cpu_ci_dispatch.yml new file mode 100644 index 000000000..b1d108b3b --- /dev/null +++ b/.github/workflows/cpu_ci_dispatch.yml @@ -0,0 +1,20 @@ +name: "Workflow Dispatch CPU Tests" + +on: + workflow_dispatch: + inputs: + ref: + description: 'Target ref / SHA to run tests against' + required: true + default: 'main' + +jobs: + run-tests: + runs-on: [ 'test', 'self-hosted' ] + steps: + - name: Checkout Repository + uses: actions/checkout@v4 + - name: Run CPU tests + uses: ./tests/cpu_tests + with: + target_test_ref: ${{ inputs.ref }} diff --git a/.github/workflows/cpu_ci_on_pr.yml b/.github/workflows/cpu_ci_on_pr.yml index 645fc5845..971640c18 100644 --- a/.github/workflows/cpu_ci_on_pr.yml +++ b/.github/workflows/cpu_ci_on_pr.yml @@ -9,61 +9,9 @@ jobs: run-tests: runs-on: [ 'test', 'self-hosted' ] steps: - - name: Checkout Repo - uses: actions/checkout@v4 - - - name: Install Python - uses: actions/setup-python@v4 - with: - python-version: "3.8" - cache: "pip" - cache-dependency-path: "**/requirements*.txt" - - - name: Upgrade Pip - run: python -m pip install --upgrade pip - - - name: Set up Docker repository # this should possibly be done by the worker before the job starts in the interest of execution time? - run: | - # Add Docker's official GPG key: - sudo apt-get update -y - sudo apt-get install ca-certificates curl -y - sudo install -m 0755 -d /etc/apt/keyrings - sudo curl -fsSL https://download.docker.com/linux/ubuntu/gpg -o /etc/apt/keyrings/docker.asc - sudo chmod a+r /etc/apt/keyrings/docker.asc - - # Add the repository to Apt sources: - echo \ - "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc] https://download.docker.com/linux/ubuntu \ - $(. /etc/os-release && echo "$VERSION_CODENAME") stable" | \ - sudo tee /etc/apt/sources.list.d/docker.list > /dev/null - sudo apt-get update - - name: Docker installation # this should possibly be done by the worker before the job starts in the interest of execution time? - run: | - sudo apt-get install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin -y - sudo docker run hello-world - - name: Prepare data - run: | - python prepare_data.py -d ./data - - name: Remove previous container - run: | - if docker ps -a | grep -q "$CONTAINER"; then - echo "Container already exists, deleting it..." - docker rm -f $CONTAINER - fi - - name: Create container - run: | - export NEOX_DATA_PATH='./data/enwik8' - export NEOX_CHECKPOINT_PATH='/mnt/sda/checkpoints' #todo: where do I get this? - docker compose run -d --build --name $CONTAINER gpt-neox tail -f /dev/null - - name: Install test requirements - run: | - docker exec $CONTAINER pip install -r /workspace/requirements-dev.txt - - name: Execute CPU tests 1 - run: | - docker exec $CONTAINER sh -c "cd gpt-neox && pytest tests -m cpu" - - name: Execute CPU tests 2 - run: | - docker exec $CONTAINER sh -c "cd gpt-neox && PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python pytest tests -m cpu" - - name: Generate report - run: | - docker exec $CONTAINER python -m http.server --directory htmlcov 8000 + - name: Checkout Repository + uses: actions/checkout@v4 + - name: Run CPU tests + uses: ./tests/cpu_tests + with: + target_test_ref: ${{ github.event.pull_request.base.sha }} diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 8bc184720..686a358ab 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 4e37645 + Default = 47c93fb current git hash of repository diff --git a/tests/cpu_tests/action.yml b/tests/cpu_tests/action.yml new file mode 100644 index 000000000..a7847d1ec --- /dev/null +++ b/tests/cpu_tests/action.yml @@ -0,0 +1,96 @@ +name: Composite CPU Test Run +inputs: + target_test_ref: + description: 'Target ref to checkout and run CPU tests on' + required: true + type: string +runs: + using: composite + steps: + - uses: actions/checkout@v4 + with: + ref: ${{ inputs.target_test_ref }} + - name: Install Python + uses: actions/setup-python@v4 + with: + python-version: "3.8" + cache: "pip" + cache-dependency-path: "**/requirements*.txt" + - name: Upgrade Pip + shell: bash + run: python -m pip install --upgrade pip + - name: Set up Docker repository + shell: bash + run: | + # Add Docker's official GPG key: + sudo apt-get update -y + sudo apt-get install ca-certificates curl -y + sudo install -m 0755 -d /etc/apt/keyrings + sudo curl -fsSL https://download.docker.com/linux/ubuntu/gpg -o /etc/apt/keyrings/docker.asc + sudo chmod a+r /etc/apt/keyrings/docker.asc + # Add the repository to Apt sources: + echo \ + "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc] https://download.docker.com/linux/ubuntu \ + $(. /etc/os-release && echo "$VERSION_CODENAME") stable" | \ + sudo tee /etc/apt/sources.list.d/docker.list > /dev/null + sudo apt-get update + - name: Docker installation + shell: bash + run: | + sudo apt-get install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin -y + sudo docker run hello-world + - name: Prepare data + shell: bash + run: | + python prepare_data.py -d ./data + - name: Remove previous container + shell: bash + run: | + if docker ps -a | grep -q "$CONTAINER"; then + echo "Container already exists, deleting it..." + docker rm -f $CONTAINER + fi + env: + CONTAINER: gpt-neox-${{ inputs.target_test_ref }} + - name: Create container + shell: bash + run: | + mv docker-compose.yml .docker-compose.yml + cp tests/cpu_tests/docker-compose.yml . + export NEOX_DATA_PATH='./data/enwik8' + export NEOX_CHECKPOINT_PATH='/mnt/sda/checkpoints' #todo: where do I get this? + docker compose run -d --build --name $CONTAINER gpt-neox tail -f /dev/null + env: + CONTAINER: gpt-neox-${{ inputs.target_test_ref }} + - name: Install test requirements + shell: bash + run: | + docker exec $CONTAINER pip install -r /workspace/requirements-dev.txt + env: + CONTAINER: gpt-neox-${{ inputs.target_test_ref }} + - name: Execute CPU tests 1 + shell: bash + run: | + docker exec $CONTAINER sh -c "cd gpt-neox && pytest tests -m cpu" + env: + CONTAINER: gpt-neox-${{ inputs.target_test_ref }} + - name: Execute CPU tests 2 + if: always() + shell: bash + run: | + docker exec $CONTAINER sh -c "cd gpt-neox && PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python pytest tests -m cpu" + env: + CONTAINER: gpt-neox-${{ inputs.target_test_ref }} +# - name: Generate report +# shell: bash +# if: always() +# run: | +# docker exec $CONTAINER python -m http.server --directory htmlcov 8000 # this may not work with AWS - should perhaps pass back as an artifact for Github to use instead. +# env: +# CONTAINER: gpt-neox-${{ inputs.target_test_ref }} + - name: Remove CPU docker-compose + shell: bash + if: always() + run: | + rm docker-compose.yml + mv .docker-compose.yml docker-compose.yml diff --git a/tests/cpu_tests/docker-compose.yml b/tests/cpu_tests/docker-compose.yml new file mode 100644 index 000000000..8b2924346 --- /dev/null +++ b/tests/cpu_tests/docker-compose.yml @@ -0,0 +1,21 @@ +version: '3' # slightly different to make sure CPU tests run without nvidia device +services: + gpt-neox: + command: nvidia-smi dmon + image: gpt-neox + build: + context: . + dockerfile: Dockerfile + shm_size: 1g + ulimits: + memlock: + soft: -1 + hard: -1 + logging: + options: + max-size: "100m" + max-file: "3" + volumes: + - ${NEOX_DATA_PATH}:/home/mchorse/data + - ${NEOX_CHECKPOINT_PATH}:/home/mchorse/chk + - .:/home/mchorse/gpt-neox From 916c88357fdbee5107574da156585addd17b31bb Mon Sep 17 00:00:00 2001 From: yang <7129+yang@users.noreply.github.com> Date: Sat, 4 May 2024 11:25:27 -0700 Subject: [PATCH 82/99] Add megablocks dropless MoE (#1192) * Add megablocks dropless MoE * pre-commit --------- Co-authored-by: Yang Zhang Co-authored-by: Quentin Anthony --- README.md | 75 +++++++++++ configs/125M-dmoe.yml | 101 ++++++++++++++ configs/125M-moe.yml | 16 +-- megatron/data/helpers.cpp | 12 +- megatron/model/megablocks_utils.py | 34 +++++ megatron/model/transformer.py | 169 +++++++++++++++++++++--- megatron/neox_arguments/arguments.py | 6 +- megatron/neox_arguments/neox_args.py | 30 ++++- megatron/training.py | 62 ++++++++- tools/ckpts/convert_hf_to_sequential.py | 2 +- 10 files changed, 464 insertions(+), 43 deletions(-) create mode 100644 configs/125M-dmoe.yml create mode 100644 megatron/model/megablocks_utils.py diff --git a/README.md b/README.md index 7b7bf1739..e7f61bf20 100644 --- a/README.md +++ b/README.md @@ -52,6 +52,7 @@ Prior to 3/9/2023, GPT-NeoX relied on [DeeperSpeed](https://github.com/EleutherA + [Containerized Setup](#containerized-setup) * [Usage](#usage) - [Configuration](#configuration) + * [Mixture of Experts](#mixture-of-experts) - [Datasets](#datasets) * [Preconfigured Datasets](#preconfigured-datasets) * [Using Custom Data](#using-custom-data) @@ -322,6 +323,80 @@ These files are generally complete, but non-optimal. For example, depending on y For a more detailed guide to the features available and how to configure them, see [the configuration README](configs/README.md), and for documentation of every possible argument, see [configs/neox_arguments.md](configs/neox_arguments.md). +## Mixture of Experts + +GPT-NeoX includes multiple expert implementations for MoE. To select between them, specify `moe_type` of `megablocks` (default) or `deepspeed`. + +Both are based on the DeepSpeed MoE parallelism framework, which supports tensor-expert-data parallelism. +Both allow you to toggle between token-dropping and dropless (default, and this is what Megablocks was designed for). +Sinkhorn routing to come soon! + +For an example of a basic complete configuration, see configs/125M-dmoe.yml (for Megablocks dropless) or configs/125M-moe.yml. + +Most MoE related configuration arguments are prefixed with `moe`. Some common configuration parameters and their defaults are as follows: + +``` +moe_type: megablocks +moe_num_experts: 1 # 1 disables MoE. 8 is a reasonable value. +moe_loss_coeff: 0.1 +expert_interval: 2 # See details below +enable_expert_tensor_parallelism: false # See details below +moe_expert_parallel_size: 1 # See details below +moe_token_dropping: false +``` + +DeepSpeed can be further configured with the following: + +``` +moe_top_k: 1 +moe_min_capacity: 4 +moe_train_capacity_factor: 1.0 # Setting to 1.0 +moe_eval_capacity_factor: 1.0 # Setting to 1.0 +``` + +One MoE layer is present every `expert_interval` transformer layers including the first, so with 12 layers total: + +``` +0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 +``` + +Experts would be in these layers: + +``` +0, 2, 4, 6, 8, 10 +``` + +By default, we use expert-data parallelism, so any available tensor parallelism (`model_parallel_size`) will be used for expert routing. For instance, given the following: + +``` +expert_parallel_size: 4 +model_parallel_size: 2 # aka tensor parallelism +``` + +With 32 GPUs, the behavior will be look like: + +- In non-expert layers: + - Tensor parallelism is 2. (There are 32 / 2 = 16 such tensor parallel groups, each of size 2.) + - Data parallelism implicitly becomes 32 / 2 = 16. +- In expert layers: + - There is no tensor parallelism. + - Expert parallelism is 4. (There are 32 / 4 = 8 expert parallel groups, each of size 4.) + - Data parallelism implicitly becomes 32 / 4 = 8. Some cross-node token routing happens as a result of this redivision of data parallelism between 16 and 8. To avoid it, ensure that `expert_parallel_size == model_parallel_size`. + +Setting `enable_expert_tensor_parallelism` enables tensor-expert-data (TED) parallelism. The way to interpret the above would then be: + +- In non-expert layers: same as before. +- In expert layers: + - Tensor parallelism is 2. (There are 32 / 2 = 16 tensor parallel groups, each of size 2.) + - Expert parallelism is 4. (There are 32 / 4 = 8 expert parallel groups, each of size 4.) + - Data parallelism implicitly becomes 32 / (2 * 4) = 4. Again, cross-node token routing happens. To avoid, ensure `expert_parallel_size == 1` or `model_parallel_size == 1`. + +So note that DP must be divisible by (MP * EP). For more details, see the [TED paper]. + +Pipeline parallelism is not yet supported - coming soon! + +[TED paper]: https://arxiv.org/abs/2303.06318 + # Datasets ## Preconfigured Datasets diff --git a/configs/125M-dmoe.yml b/configs/125M-dmoe.yml new file mode 100644 index 000000000..229191b4d --- /dev/null +++ b/configs/125M-dmoe.yml @@ -0,0 +1,101 @@ +# GPT-2 pretraining setup +{ + # See README for MoE config docs! + "moe_type": "megablocks", + "moe_token_dropping": false, + # Have 4 experts per layer (every 2 layers by default) + "moe_num_experts": 4, + # parallelism settings + "enable_expert_tensor_parallelism": true, + "pipe_parallel_size": 1, # not yet supported for MoE + "model_parallel_size": 1, + "moe_expert_parallel_size": 1, + + # model settings + "num_layers": 12, + "hidden_size": 768, + "num_attention_heads": 12, + "seq_length": 2048, + "max_position_embeddings": 2048, + "norm": "layernorm", + "pos_emb": "rotary", + "no_weight_tying": true, + "gpt_j_residual": false, + "output_layer_parallelism": "column", + + # these should provide some speedup but takes a while to build, set to true if desired + "scaled_upper_triang_masked_softmax_fusion": false, + "bias_gelu_fusion": false, + "rope_fusion": false, + + # init methods + "init_method": "small_init", + "output_layer_init_method": "wang_init", + + + # optimizer settings + "optimizer": { + "type": "Adam", + "params": { + "lr": 0.0006, + "betas": [0.9, 0.95], + "eps": 1.0e-8, + } + }, + "min_lr": 0.00006, + + # for all zero_optimization options, see https://www.deepspeed.ai/docs/config-json/#zero-optimizations-for-fp16-training + "zero_optimization": { + "stage": 0, + "allgather_partitions": True, + "allgather_bucket_size": 500000000, + "overlap_comm": True, + "reduce_scatter": True, + "reduce_bucket_size": 500000000, + "contiguous_gradients": True, + }, + + # batch / data settings + "train_micro_batch_size_per_gpu": 4, + "data_impl": "mmap", + + # activation checkpointing + "checkpoint_activations": true, + "checkpoint_num_layers": 1, + "partition_activations": true, + "synchronize_each_layer": true, + + # regularization + "gradient_clipping": 1.0, + "weight_decay": 0.1, + "hidden_dropout": 0.0, + "attention_dropout": 0.0, + + # precision settings + "fp16": { + "enabled": true, + "loss_scale": 0, + "loss_scale_window": 1000, + "hysteresis": 2, + "min_loss_scale": 1 + }, + + # misc. training settings + "train_iters": 320000, + "lr_decay_iters": 320000, + "distributed_backend": "nccl", + "lr_decay_style": "cosine", + "warmup": 0.01, + "checkpoint_factor": 10000, + "eval_interval": 1000, + "eval_iters": 10, + + # logging + "log_interval": 10, + "steps_per_print": 10, + "keep_last_n_checkpoints": 4, + "wall_clock_breakdown": true, + + # networking + "hostfile": "/mock_path" +} diff --git a/configs/125M-moe.yml b/configs/125M-moe.yml index 27ebf216b..1d08d78a4 100644 --- a/configs/125M-moe.yml +++ b/configs/125M-moe.yml @@ -1,15 +1,13 @@ # GPT-2 pretraining setup { + # See README for MoE config docs! + "moe_type": "deepspeed", + "moe_token_dropping": true, # Have 4 experts per layer (every 2 layers by default) - # So with 12 layers total: - # 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 - # Experts would be in layers: - # 0, 2, 4, 6, 8, 10 - "num_experts": 4, - - # parallelism settings ( you will want to change these based on your cluster setup, ideally scheduling pipeline stages - # across the node boundaries ) - "pipe_parallel_size": 1, + "moe_num_experts": 4, + # parallelism settings + "enable_expert_tensor_parallelism": true, + "pipe_parallel_size": 1, # not yet supported for MoE "model_parallel_size": 1, "moe_expert_parallel_size": 1, diff --git a/megatron/data/helpers.cpp b/megatron/data/helpers.cpp index 9b062b050..aca290854 100644 --- a/megatron/data/helpers.cpp +++ b/megatron/data/helpers.cpp @@ -428,9 +428,9 @@ py::array build_mapping_impl(const py::array_t& docs_, } } // for (auto sent_index=sent_index_first; ... - } // if (num_remain_sent > 1) { - } // for (int doc=0; doc < num_docs; ++doc) { - } // for (int epoch=0; epoch < num_epochs; ++epoch) { + } // if (num_remain_sent > 1) { + } // for (int doc=0; doc < num_docs; ++doc) { + } // for (int epoch=0; epoch < num_epochs; ++epoch) { if (!second) { if (verbose) { @@ -660,9 +660,9 @@ py::array build_blocks_mapping_impl(const py::array_t& docs_, num_sent = 0; } } // for (auto sent_index=sent_index_first; ... - } // if (num_remain_sent > 1) { - } // for (int doc=0; doc < num_docs; ++doc) { - } // for (int epoch=0; epoch < num_epochs; ++epoch) { + } // if (num_remain_sent > 1) { + } // for (int doc=0; doc < num_docs; ++doc) { + } // for (int epoch=0; epoch < num_epochs; ++epoch) { if (!second) { if (verbose) { diff --git a/megatron/model/megablocks_utils.py b/megatron/model/megablocks_utils.py new file mode 100644 index 000000000..6f94b2b2c --- /dev/null +++ b/megatron/model/megablocks_utils.py @@ -0,0 +1,34 @@ +"""Adapter to expose MegaBlocks package, if available.""" + +try: + import megablocks +except ImportError: + megablocks = None + + +def megablocks_is_available(): + return megablocks is not None + + +def assert_megablocks_is_available(): + assert ( + megablocks_is_available() + ), "MegaBlocks not available. Please run `pip install megablocks`." + + +moe = megablocks.layers.moe if megablocks_is_available() else None +dmoe = megablocks.layers.dmoe if megablocks_is_available() else None +arguments = megablocks.layers.arguments if megablocks_is_available() else None + + +def as_megablocks_args(neox_args): + import copy + + tmp = copy.copy(neox_args) + delattr(tmp, "mlp_type") + tmp.mlp_type = "mlp" + args = arguments.from_megatron(tmp) + args.moe_lbl_in_fp32 = True + args.fp16 = neox_args.precision == "fp16" + args.moe_loss_weight = neox_args.moe_loss_coeff + return args diff --git a/megatron/model/transformer.py b/megatron/model/transformer.py index c6bf619f8..c154b09f4 100644 --- a/megatron/model/transformer.py +++ b/megatron/model/transformer.py @@ -26,6 +26,7 @@ from .norms import get_norm from megatron import mpu +from megatron.model import megablocks_utils from megatron.model.fused_softmax import FusedScaleMaskSoftmax from megatron.model.activations import get_activation from megatron.model.utils import exists, get_fusion_type @@ -276,6 +277,55 @@ def forward(self, hidden_states): return self.final_linear(hidden_states) +class _MegablocksAdapter(nn.Module): + def __init__( + self, neox_args, layer_cls, init_method, output_layer_init_method, ep_group + ): + super().__init__() + megablocks_utils.assert_megablocks_is_available() + args = megablocks_utils.as_megablocks_args(neox_args) + args.device = torch.cuda.current_device() + args.init_method = init_method + args.output_layer_init_method = output_layer_init_method + + # NOTE: Shard the MoE layers over the data parallel group. Expert + # parallel sharding and data parallel sharding could be decoupled + # by extending the optimizer to handle data parallel reductions for + # MoE and non-MoE parameters separately. + if args.moe_expert_model_parallelism: + args.expert_parallel_group = ep_group + + if neox_args.moe_glu: + args.mlp_type = "glu" + + self.moe = layer_cls(args) + + def forward(self, x): + return self.moe.forward(x) + + +class MbMoE(_MegablocksAdapter): + def __init__(self, neox_args, init_method, output_layer_init_method, ep_group): + super().__init__( + neox_args, + megablocks_utils.moe.MoE, + init_method, + output_layer_init_method, + ep_group, + ) + + +class dMoE(_MegablocksAdapter): + def __init__(self, neox_args, init_method, output_layer_init_method, ep_group): + super().__init__( + neox_args, + megablocks_utils.dmoe.dMoE, + init_method, + output_layer_init_method, + ep_group, + ) + + class ParallelSelfAttention(nn.Module): """Parallel self-attention layer abstract class. @@ -958,6 +1008,7 @@ def __init__( super().__init__() self.layer_number = layer_number + self.neox_args = neox_args norm, eps = get_norm(neox_args) @@ -970,6 +1021,7 @@ def __init__( self.gpt_j_residual = neox_args.gpt_j_residual self.gpt_j_tied = neox_args.gpt_j_tied self.mlp_type = neox_args.mlp_type + self.moe_type = neox_args.moe_type if self.gpt_j_residual: self.reduce = mpu.mappings.reduce_from_model_parallel_region @@ -1014,7 +1066,7 @@ def get_mlp(mlp_type, **kw): raise KeyError(mlp_type) self.num_experts = ( - neox_args.num_experts + neox_args.moe_num_experts if layer_number % neox_args.expert_interval == 0 else 1 ) @@ -1029,23 +1081,87 @@ def get_mlp(mlp_type, **kw): else: moe_mp_size = dist.get_world_size() // self.num_experts - self.mlp = MoE( - args.hidden_size, - get_mlp( - "regular", - MOE=True, - MoE_mp_size=moe_mp_size, - ), - num_experts=self.num_experts, - ep_size=args.moe_expert_parallel_size, - k=args.moe_top_k, - use_residual=args.moe_use_residual, - capacity_factor=args.moe_train_capacity_factor, - eval_capacity_factor=args.moe_eval_capacity_factor, - min_capacity=args.moe_min_capacity, - drop_tokens=args.moe_token_dropping, - use_tutel=args.use_tutel, - ) + if neox_args.moe_type == "deepspeed": + self.mlp = MoE( + args.hidden_size, + get_mlp( + "regular", + MOE=True, + MoE_mp_size=moe_mp_size, + ), + num_experts=self.num_experts, + ep_size=args.moe_expert_parallel_size, + k=args.moe_top_k, + use_residual=args.moe_use_residual, + capacity_factor=args.moe_train_capacity_factor, + eval_capacity_factor=args.moe_eval_capacity_factor, + min_capacity=args.moe_min_capacity, + drop_tokens=args.moe_token_dropping, + use_tutel=args.use_tutel, + enable_expert_tensor_parallelism=args.enable_expert_tensor_parallelism, + ) + elif neox_args.moe_type == "megablocks": + + def integrate_megablocks_with_ds_expert_parallelism(): + # We make megablocks work with DS parallelism. + # + # We fool DS into accepting these MoE parameters as its own DS MoE params, + # which makes things work with the underlying expert parallelism, + # including TED parallelism. + # + # Effectively, we want to: + # + # - Make DS's data parallel gradient all-reduction skip these params. + # - But make these params participate in the expert parallel all-reduction! + # + # Further background: + # + # Normally, with the original megablocks demo codebase, it + # only supports 1 copy of any expert throughout + # the network, since it uses EP group = DP group. + # + # First, we trigger DS initialization of the MoE expert parallel groups and internal state. + throwaway = MoE( + args.hidden_size, + get_mlp( + "regular", + MOE=True, + MoE_mp_size=moe_mp_size, + ), + num_experts=self.num_experts, + ep_size=args.moe_expert_parallel_size, + k=args.moe_top_k, + use_residual=args.moe_use_residual, + capacity_factor=args.moe_train_capacity_factor, + eval_capacity_factor=args.moe_eval_capacity_factor, + min_capacity=args.moe_min_capacity, + drop_tokens=args.moe_token_dropping, + use_tutel=args.use_tutel, + enable_expert_tensor_parallelism=args.enable_expert_tensor_parallelism, + ) + throwaway.set_deepspeed_parallelism() + + ep_group = throwaway.deepspeed_moe.ep_group + if args.moe_token_dropping: + self.mlp = MbMoE( + neox_args, init_method, output_layer_init_method, ep_group + ) + else: + self.mlp = dMoE( + neox_args, init_method, output_layer_init_method, ep_group + ) + + # Next, we trick DS into seeing these as its own MoE params. + for param in self.mlp.parameters(): + if getattr(param, "expert_model_parallel", None) is not None: + # is_moe_param looks for this attr. + param.allreduce = False + param.group_name = throwaway.expert_group_name + + integrate_megablocks_with_ds_expert_parallelism() + + else: + raise KeyError(neox_args.moe_type) self.layer_past = None # used to cache k/v pairs in inference @@ -1152,11 +1268,22 @@ def forward(self, x, attention_mask, layer_past=None): if self.num_experts == 1: mlp_output, mlp_bias = self.mlp(layernorm_output) else: - mlp_output, moe_loss, _ = self.mlp(layernorm_output) - mlp_bias = None # deepspeed.moe.layer.MoE.forward ignores the bias term + if self.moe_type == "deepspeed": + mlp_output, moe_loss, _ = self.mlp(layernorm_output) + mlp_bias = ( + None # deepspeed.moe.layer.MoE.forward ignores the bias term + ) + elif self.moe_type == "megablocks": + mlp_output, mlp_bias = self.mlp(layernorm_output) + else: + raise KeyError(self.moe_type) with torch.enable_grad(): - if self.mlp_type == "llama" or self.num_experts > 1: + if ( + self.mlp_type == "llama" + or self.num_experts > 1 + and self.moe_type == "deepspeed" + ): # No dropout either assert mlp_bias is None output = mlp_output + attention_output diff --git a/megatron/neox_arguments/arguments.py b/megatron/neox_arguments/arguments.py index bf6e3f3e8..d96c48af3 100644 --- a/megatron/neox_arguments/arguments.py +++ b/megatron/neox_arguments/arguments.py @@ -1034,13 +1034,15 @@ def calculate_derived(self): # if we set pipe_parallel_size to 0 or 1, GPT2ModelPipe.to_sequential() is called, and we run training with # the sequential model without the PipelineModule wrapper to avoid the overhead it incurs self.update_value( - "is_pipe_parallel", self.pipe_parallel_size > 1 and self.num_experts == 1 + "is_pipe_parallel", + self.pipe_parallel_size > 1 and self.moe_num_experts == 1, ) - if self.num_experts > 1: + if self.moe_num_experts > 1: assert not ( self.is_pipe_parallel or self.pipe_parallel_size > 1 ), "MoE not supported with pipeline parallelism" assert self.zero_optimization["stage"] != 3, "MoE not compatible with zero3" + assert self.mlp_type == "regular", "MoE not compatible with LLaMA" # Attention config if self.attention_config is None: diff --git a/megatron/neox_arguments/neox_args.py b/megatron/neox_arguments/neox_args.py index 16d6456b4..8a216a25b 100644 --- a/megatron/neox_arguments/neox_args.py +++ b/megatron/neox_arguments/neox_args.py @@ -1275,7 +1275,7 @@ class NeoXArgsTextgen(NeoXArgsTemplate): Use Tutel optimizations in MoE """ - num_experts: int = 1 + moe_num_experts: int = 1 """ Number of MoE experts """ @@ -1300,7 +1300,7 @@ class NeoXArgsTextgen(NeoXArgsTemplate): The minimum capacity per expert regardless of the capacity_factor """ - moe_token_dropping: bool = True + moe_token_dropping: bool = False """ Whether to drop tokens when exceeding capacity """ @@ -1319,3 +1319,29 @@ class NeoXArgsTextgen(NeoXArgsTemplate): """ Number of parallel experts in MoE """ + + moe_type: str = "megablocks" + """ + Either `deepspeed` or `megablocks` + """ + + moe_glu: bool = False + """ + Use gated linear units in MoE + """ + + moe_lbl_in_fp32: bool = False + """ + Whether to compute the load balancing loss in fp32. + """ + + moe_jitter_eps: float = None + """ + Coefficient for MoE routing jitter. Jitter is + not used if set to None + """ + + enable_expert_tensor_parallelism: bool = False + """ + Enable expert tensor parallelism + """ diff --git a/megatron/training.py b/megatron/training.py index 4ce5994a5..6a4e843ab 100644 --- a/megatron/training.py +++ b/megatron/training.py @@ -365,6 +365,56 @@ def get_batch_sequential(forward_input, neox_args): return (forward_input[0], forward_input[1], attention_mask) +def average_losses_across_data_parallel_group(losses): + """Reduce a tensor of losses across all GPUs.""" + averaged_losses = torch.cat([loss.clone().detach().view(1) for loss in losses]) + torch.distributed.all_reduce(averaged_losses, group=mpu.get_data_parallel_group()) + averaged_losses = averaged_losses / torch.distributed.get_world_size( + group=mpu.get_data_parallel_group() + ) + + return averaged_losses + + +def mb_moe_loss_func(args, loss_mask, output_tensor=None): + from megatron.model import megablocks_utils + from megatron.model.megablocks_utils import moe + + # NOTE: For pipeline parallelism this function will be run on the + # non-final stages to calculate load balancing loss contribution + # for the MoE layers within the stage. For these cases, output_tensor + # will be None. + loss, loss_dict = (None, {}) + if False: + assert output_tensor is not None + loss, loss_dict = loss_func(loss_mask, output_tensor) + assert loss.numel() == 1 + + # NOTE: If recompute is enabled we will collect duplicate load + # balancing loss contributions. Prune these before calculating + # the load balancing loss. + if args.checkpoint_activations: + # Ignore load balancing loss contributions compute during + # the forward pass if recompute is turned on. + load_balancing_loss_data = moe.get_load_balancing_loss() + if args.num_layers * 2 == len(load_balancing_loss_data): + load_balancing_loss_data = load_balancing_loss_data[args.num_layers :] + moe.clear_load_balancing_loss() + for x in load_balancing_loss_data: + moe.save_load_balancing_loss(x) + + # Compute the load balancing loss for all MoE layers. + megablocks_args = args = megablocks_utils.as_megablocks_args(args) + lbl = moe.batched_load_balancing_loss(megablocks_args) + moe.clear_load_balancing_loss() + + # Average the load balancing loss across data parallel + # replicas and save for logging. + averaged_lbl = average_losses_across_data_parallel_group([lbl]) + loss_dict["load balancing loss"] = averaged_lbl[0] + return averaged_lbl, loss_dict + + def forward_step( data_iterator, model, neox_args, timers, return_logits=False, is_train=False ): @@ -405,8 +455,13 @@ def forward_step( main_loss = cross_entropy( outputs, (labels, loss_mask), _fp16=neox_args.fp16_lm_cross_entropy ) - if neox_args.num_experts > 1: - moe_loss = neox_args.moe_loss_coeff * sum(m.item() for m in moe_losses) + if neox_args.moe_num_experts > 1: + if neox_args.moe_type == "deepspeed": + moe_loss = neox_args.moe_loss_coeff * sum(m.item() for m in moe_losses) + elif neox_args.moe_type == "megablocks": + moe_loss = mb_moe_loss_func(neox_args, loss_mask, outputs)[0] + else: + raise ValueError(f"Unsupported moe_type: {neox_args.moe_type}") else: moe_loss = 0.0 loss = main_loss + moe_loss @@ -710,6 +765,9 @@ def setup_model_and_optimizer(neox_args, use_cache=False, iteration=None): # config_params=neox_args.deepspeed_config, mpu=mpu if not neox_args.is_pipe_parallel else None, ) + if neox_args.moe_num_experts > 1 and neox_args.moe_type == "megablocks": + # We need to additionally set this flag to ensure DS parallelism properly handles this foreign MoE. + model.has_moe_layers = True model.total_params = get_total_params(model.module) print_rank_0(f' > total params: {"{:,}".format(model.total_params)}') diff --git a/tools/ckpts/convert_hf_to_sequential.py b/tools/ckpts/convert_hf_to_sequential.py index 5a5f3bbad..c53f28391 100644 --- a/tools/ckpts/convert_hf_to_sequential.py +++ b/tools/ckpts/convert_hf_to_sequential.py @@ -526,7 +526,7 @@ def get_non_existing_dir(tmp_dir): dist_init_required=False, model_parameters=None, config_params=neox_args.deepspeed_config, - mpu=mpu if not neox_args.is_pipe_parallel else None, + mpu=mpu, ) if os.environ.get("OMPI_COMM_WORLD_RANK", "1") == "0": From c8149592d936c3a23ecff4c0092d33bd6c64fab5 Mon Sep 17 00:00:00 2001 From: Joshua Vendrow Date: Sat, 4 May 2024 14:52:36 -0400 Subject: [PATCH 83/99] Fix bug in tools/ckpts/convert_neox_to_hf.py for setting intermediate_size (#1209) In tools/ckpts/convert_neox_to_hf.py, for neox architecture the 'intermediate_size' argument is not explicitly set, so it defaults to 24576 from: https://github.com/huggingface/transformers/blob/9fe3f585bb4ea29f209dc705d269fbe292e1128f/src/transformers/models/gpt_neox/configuration_gpt_neox.py#L48 Proposed solution: set intermediate-size to 4 * hidden-size --- tools/ckpts/convert_neox_to_hf.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/tools/ckpts/convert_neox_to_hf.py b/tools/ckpts/convert_neox_to_hf.py index 1d3e2c1f0..35812383e 100644 --- a/tools/ckpts/convert_neox_to_hf.py +++ b/tools/ckpts/convert_neox_to_hf.py @@ -277,6 +277,11 @@ def __init__(self, neox_config): ), "use_parallel_residual": get_key(neox_config, "gpt-j-residual", False), "layer_norm_eps": get_key(neox_config, "layernorm-epsilon", 1e-5), + "intermediate_size": get_key( + neox_config, + "intermediate-size", + 4 * get_key(neox_config, "hidden-size"), + ), } ) hf_config = GPTNeoXConfig(**args) From 4bc667031d82e5690882ef16be9edad09d469a8d Mon Sep 17 00:00:00 2001 From: Jacob Hatef <74274091+jahatef@users.noreply.github.com> Date: Sun, 5 May 2024 20:10:30 -0400 Subject: [PATCH 84/99] add rwkv support (#1198) * add rwkv support * Update init_functions.py * rwkv model files * configs * kernels * Cleanup * Update 760M.yml * remove preffn and mishglu * Update NeoXArgs docs automatically * Add RWKV parallelism assertions * Update NeoXArgs docs automatically * pre-commit and config cleanup * Update NeoXArgs docs automatically * rwkv logging * Update NeoXArgs docs automatically * Add rwkv version dirname, make hdim 3.5x * pre-commit * Update NeoXArgs docs automatically * fix bug and set batch size to 32 * Update NeoXArgs docs automatically --------- Co-authored-by: Quentin Anthony Co-authored-by: github-actions --- configs/neox_arguments.md | 8 +- configs/rwkv/170M.yml | 102 +++++++ megatron/logging.py | 39 ++- megatron/model/gpt2_model.py | 10 + megatron/model/rwkv/__init__.py | 0 megatron/model/rwkv/v6/__init__.py | 1 + megatron/model/rwkv/v6/cuda/wkv6_cuda.cu | 270 ++++++++++++++++ megatron/model/rwkv/v6/cuda/wkv6_op.cpp | 95 ++++++ megatron/model/rwkv/v6/rwkv.py | 357 ++++++++++++++++++++++ megatron/neox_arguments/arguments.py | 9 + megatron/neox_arguments/deepspeed_args.py | 4 +- megatron/neox_arguments/neox_args.py | 3 +- tests/cpu_tests/action.yml | 2 +- 13 files changed, 882 insertions(+), 18 deletions(-) create mode 100644 configs/rwkv/170M.yml create mode 100644 megatron/model/rwkv/__init__.py create mode 100644 megatron/model/rwkv/v6/__init__.py create mode 100644 megatron/model/rwkv/v6/cuda/wkv6_cuda.cu create mode 100644 megatron/model/rwkv/v6/cuda/wkv6_op.cpp create mode 100644 megatron/model/rwkv/v6/rwkv.py diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 686a358ab..c8e1492ae 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 47c93fb + Default = 6fb840e current git hash of repository @@ -432,7 +432,7 @@ Model Arguments The first item in the list specifies the attention type(s), and should be a list of strings. The second item specifies the number of times to repeat those attention types in the full list. - attention type choices: [global, local, sparse_fixed, sparse_variable, bslongformer, bigbird, "gmlp", "amlp", "flash", "mamba"] + attention type choices: [global, local, sparse_fixed, sparse_variable, bslongformer, bigbird, "gmlp", "amlp", "flash", "mamba", "rwkv"] So a 12 layer network with only global attention could be specified like: [[[`global`], 12]] @@ -1965,7 +1965,9 @@ Args for deepspeed config Default = None - Configuration for using bfloat16 floating-point format as an alternative to FP16. BFLOAT16 requires hardware support (e.g., NVIDIA A100). Dictionary options as described in Deepspeed documentation: https://www.deepspeed.ai/docs/config-json/#bfloat16-training-options + Configuration for using bfloat16 floating-point format as an alternative to FP16. BFLOAT16 requires hardware support (e.g., NVIDIA A100). + + Dictionary options as described in Deepspeed documentation: https://www.deepspeed.ai/docs/config-json/#bfloat16-training-options diff --git a/configs/rwkv/170M.yml b/configs/rwkv/170M.yml new file mode 100644 index 000000000..11311f441 --- /dev/null +++ b/configs/rwkv/170M.yml @@ -0,0 +1,102 @@ +{ + # Parallelism is not yet supported for rwkv + "pipe_parallel_size": 1, + "model_parallel_size": 1, + + "num_layers": 12, + "hidden_size": 768, + "num_attention_heads": 12, # head_size = dim_att / num_attention_heads. + # head_size is 64 for all rwkv models + "seq_length": 512, + "max_position_embeddings": 2048, + "output_layer_parallelism": "column", + "norm": "rmsnorm", + "rms_norm_epsilon": 1.0e-5, + "train_micro_batch_size_per_gpu": 32, + + "attention_config": [[["rwkv"], 12]], + + "activation": "silu", + + # model settings + + #"pos_emb": "rotary", + "rotary_pct": 0.25, + "no_weight_tying": true, + "gpt_j_residual": true, + + # these should provide some speedup but takes a while to build, set to true if desired + "scaled_upper_triang_masked_softmax_fusion": false, + "bias_gelu_fusion": false, + "rope_fusion": false, + "layernorm_fusion": false, + + + # init methods + "init_method": "small_init", + "output_layer_init_method": "wang_init", + + # optimizer settings + "optimizer": { + "type": "Adam", + "params": { + "lr": 0.0008, + "betas": [0.9, 0.95], + "eps": 1.0e-8, + } + }, + "min_lr": 0.00008, + + # for all zero_optimization options, see https://www.deepspeed.ai/docs/config-json/#zero-optimizations-for-fp16-training + "zero_optimization": { + "stage": 1, + "allgather_partitions": True, + "allgather_bucket_size": 500000000, + "overlap_comm": True, + "reduce_scatter": True, + "reduce_bucket_size": 500000000, + "contiguous_gradients": True, + }, + + # batch / data settings + "data_impl": "mmap", + "num_workers": 1, + + # activation checkpointing + "checkpoint_activations": true, + "checkpoint_num_layers": 1, + "partition_activations": true, + "synchronize_each_layer": true, + + # regularization + "gradient_clipping": 1.0, + "weight_decay": 0.1, + "hidden_dropout": 0, + "attention_dropout": 0, + + # precision settings + "bf16": { + "bf16": true, + "enabled": true, + "loss_scale": 0, + "loss_scale_window": 1000, + "initial_scale_power": 12, + "hysteresis": 2, + "min_loss_scale": 1, + }, + + # misc. training settings + "train_iters": 500, + "lr_decay_iters": 500, + "distributed_backend": "nccl", + "lr_decay_style": "constant", + "warmup": 0.01, + "checkpoint_factor": 100, + "eval_interval": 100000, + "eval_iters": 10, + + # logging + "log_interval": 10, + "steps_per_print": 10, + "wall_clock_breakdown": true, +} diff --git a/megatron/logging.py b/megatron/logging.py index 6c9b7915e..247aeb1b5 100644 --- a/megatron/logging.py +++ b/megatron/logging.py @@ -92,19 +92,34 @@ def get_flops(neox_args, iter_time_s) -> float: hidden_size = neox_args.hidden_size num_layers = neox_args.num_layers ckpt_activations_factor = 4 if neox_args.checkpoint_activations else 3 - flops_per_iteration = ( - 24 - * ckpt_activations_factor - * batch_size - * seq_len - * num_layers - * (hidden_size**2) - * ( - 1.0 - + (seq_len / (6.0 * hidden_size)) - + (vocab_size / (16.0 * num_layers * hidden_size)) + if "rwkv" in neox_args.attention_config: + num_heads = neox_args.num_attention_heads + + flops_per_iteration = ( + batch_size + * seq_len + * ( + 78 * hidden_size * hidden_size * num_layers + + 84 * hidden_size * num_layers + + 16 * hidden_size + + 12 * hidden_size * vocab_size + + 18 * hidden_size * hidden_size * num_layers / num_heads + ) + ) + else: + flops_per_iteration = ( + 24 + * ckpt_activations_factor + * batch_size + * seq_len + * num_layers + * (hidden_size**2) + * ( + 1.0 + + (seq_len / (6.0 * hidden_size)) + + (vocab_size / (16.0 * num_layers * hidden_size)) + ) ) - ) return flops_per_iteration / (iter_time_s * world_size) diff --git a/megatron/model/gpt2_model.py b/megatron/model/gpt2_model.py index 9c86d98d3..9e643874a 100644 --- a/megatron/model/gpt2_model.py +++ b/megatron/model/gpt2_model.py @@ -37,6 +37,7 @@ ParallelLinear, ) from megatron.model.gmlp import GMLPBlock +from megatron.model.rwkv.v6 import RWKVResidualLayerPipe from megatron.model.mamba import ParallelMambaResidualLayerPipe from megatron.model.word_embeddings import EmbeddingPipe, SoftEmbedding @@ -175,6 +176,7 @@ def insert_layers( "GMLPBlock", "ParallelTransformerLayerPipe", "ParallelMambaResidualLayerPipe", + "RWKVResidualLayerPipe", ], ) @@ -251,6 +253,14 @@ def init_specs(self): mask_fn=gpt2_attention_mask_func, ) ) + elif layer_type == "rwkv": + self.specs.append( + LayerSpec( + RWKVResidualLayerPipe, + neox_args=self.neox_args, + layer_number=i, + ) + ) elif layer_type in ["mamba"]: self.specs.append( LayerSpec( diff --git a/megatron/model/rwkv/__init__.py b/megatron/model/rwkv/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/megatron/model/rwkv/v6/__init__.py b/megatron/model/rwkv/v6/__init__.py new file mode 100644 index 000000000..c0d8d4ba1 --- /dev/null +++ b/megatron/model/rwkv/v6/__init__.py @@ -0,0 +1 @@ +from .rwkv import RWKVResidualLayerPipe, RWKVResidualLayer diff --git a/megatron/model/rwkv/v6/cuda/wkv6_cuda.cu b/megatron/model/rwkv/v6/cuda/wkv6_cuda.cu new file mode 100644 index 000000000..2b228e90f --- /dev/null +++ b/megatron/model/rwkv/v6/cuda/wkv6_cuda.cu @@ -0,0 +1,270 @@ +#include +#include +#include "ATen/ATen.h" +typedef at::BFloat16 bf16; + +template +__global__ void kernel_forward(const int B, + const int T, + const int C, + const int H, + const F* __restrict__ const _r, + const F* __restrict__ const _k, + const F* __restrict__ const _v, + const float* __restrict__ _w, + const F* __restrict__ _u, + F* __restrict__ const _y) +{ + const int b = blockIdx.x / H; + const int h = blockIdx.x % H; + const int i = threadIdx.x; + _u += h * _N_; + + __shared__ float r[_N_], k[_N_], u[_N_], w[_N_]; + float state[_N_] = {0}; + + __syncthreads(); + u[i] = float(_u[i]); + __syncthreads(); + + for (int t = b * T * C + h * _N_ + i; t < (b + 1) * T * C + h * _N_ + i; t += C) { + __syncthreads(); + w[i] = exp(_w[t]); + r[i] = float(_r[t]); + k[i] = float(_k[t]); + __syncthreads(); + + const float v = float(_v[t]); + float y = 0; + +#pragma unroll + for (int j = 0; j < _N_; j += 4) { + const float4& r_ = (float4&)(r[j]); + const float4& k_ = (float4&)(k[j]); + const float4& w_ = (float4&)(w[j]); + const float4& u_ = (float4&)(u[j]); + float4& s = (float4&)(state[j]); + float4 x; + + x.x = k_.x * v; + x.y = k_.y * v; + x.z = k_.z * v; + x.w = k_.w * v; + + y += r_.x * (u_.x * x.x + s.x); + y += r_.y * (u_.y * x.y + s.y); + y += r_.z * (u_.z * x.z + s.z); + y += r_.w * (u_.w * x.w + s.w); + + s.x = s.x * w_.x + x.x; + s.y = s.y * w_.y + x.y; + s.z = s.z * w_.z + x.z; + s.w = s.w * w_.w + x.w; + } + _y[t] = F(y); + } +} + +template +__global__ void kernel_backward_111(const int B, + const int T, + const int C, + const int H, + const F* __restrict__ const _r, + const F* __restrict__ const _k, + const F* __restrict__ const _v, + const float* __restrict__ _w, + const F* __restrict__ _u, + const F* __restrict__ const _gy, + F* __restrict__ const _gr, + F* __restrict__ const _gk, + F* __restrict__ const _gv, + F* __restrict__ const _gu) +{ + const int b = blockIdx.x / H; + const int h = blockIdx.x % H; + const int i = threadIdx.x; + _u += h * _N_; + + __shared__ float u_[_N_]; + __shared__ float r[_N_], k[_N_], v[_N_], w_[_N_], gy[_N_]; + __syncthreads(); + u_[i] = float(_u[i]); + __syncthreads(); + + const float u = u_[i]; + + float state[_N_] = {0}, scccc[_N_] = {0}, sdddd[_N_] = {0}; + + const int t_0 = b * T * C + h * _N_ + i; + const int t_T_1 = t_0 + (T - 1) * C; + const int t_T = t_0 + T * C; + + float gu = 0; + for (int t = t_0; t < t_T; t += C) { + __syncthreads(); + v[i] = float(_v[t]); + gy[i] = float(_gy[t]); + __syncthreads(); + + const float k = float(_k[t]); + const float w = exp(_w[t]); + float gr = 0, gu_ = 0; + +#pragma unroll + for (int j = 0; j < _N_; j++) { + float& s = state[j]; + float x = k * v[j]; + + gr += (u * x + s) * gy[j]; + gu_ += x * gy[j]; + s = s * w + x; + } + _gr[t] = F(gr); + gu += float(_r[t]) * gu_; + } + _gu[b * C + h * _N_ + i] = F(gu); + + for (int t = t_T_1; t >= t_0; t -= C) { + __syncthreads(); + v[i] = float(_v[t]); + gy[i] = float(_gy[t]); + __syncthreads(); + + const float rr = float(_r[t]); + const float w = exp(_w[t]); + float gk = 0; + +#pragma unroll + for (int j = 0; j < _N_; j++) { + float& s = scccc[j]; + float x = rr * gy[j]; + + gk += (u * x + s) * v[j]; + s = x + s * w; + } + _gk[t] = F(gk); + } + + for (int t = t_T_1; t >= t_0; t -= C) { + __syncthreads(); + r[i] = float(_r[t]); + k[i] = float(_k[t]); + w_[i] = exp(_w[t]); + __syncthreads(); + + const float gyy = float(_gy[t]); + float gv = 0; + +#pragma unroll + for (int j = 0; j < _N_; j++) { + float& s = sdddd[j]; + float x = gyy * r[j]; + + gv += (u_[j] * x + s) * k[j]; + s = x + s * w_[j]; + } + _gv[t] = F(gv); + } +} + +template +__global__ void kernel_backward_222(const int B, + const int T, + const int C, + const int H, + const F* __restrict__ const _r, + const F* __restrict__ const _k, + const F* __restrict__ const _v, + const float* __restrict__ _w, + const F* __restrict__ _u, + const F* __restrict__ const _gy, + F* __restrict__ const _gw) +{ + const int b = blockIdx.x / H; + const int h = blockIdx.x % H; + const int i = threadIdx.x; + + __shared__ float v[_N_], gy[_N_]; + float saaaa[_N_] = {0}, sbbbb[_T_ - 2] = {0}, scccc[_N_] = {0}; + + const int t_0 = b * T * C + h * _N_ + i; + const int t_1 = t_0 + C; + const int t_2 = t_0 + 2 * C; + const int t_T_1 = t_0 + (T - 1) * C; + + for (int t = t_T_1; t > t_1; t -= C) { + __syncthreads(); + gy[i] = float(_gy[t]); + v[i] = float(_v[t - 2 * C]); + __syncthreads(); + + const float r = float(_r[t]); + const float w = exp(_w[t - C]); + float sum = 0.0f; + +#pragma unroll + for (int j = 0; j < _N_; j++) { + float& s = saaaa[j]; + float x = r * gy[j]; + s = (s + x) * w; + sum += s * v[j]; + } + sbbbb[(t - t_2) / C] = sum * float(_k[t - 2 * C]); + } + + float sss = sbbbb[0]; + _gw[t_0] = 0; + _gw[t_1] = F(sss * _w[t_1]); + + for (int t = t_2; t < t_T_1; t += C) { + __syncthreads(); + gy[i] = float(_gy[t]); + v[i] = float(_v[t - 2 * C]); + __syncthreads(); + + const float w = exp(_w[t - C]); + const float k = float(_k[t - 2 * C]); + float sum = 0.0f; + +#pragma unroll + for (int j = 0; j < _N_; j++) { + float& s = scccc[j]; + float x = k * v[j]; + s = (s + x) * w; + sum += s * gy[j]; + } + sss += sbbbb[(t - t_1) / C] - (sum * float(_r[t])); + _gw[t] = F(sss * _w[t]); + } + _gw[t_T_1] = 0; +} + +void cuda_forward(int B, int T, int C, int H, bf16* r, bf16* k, bf16* v, float* w, bf16* u, bf16* y) +{ + assert(H * _N_ == C); + assert(_N_ % 4 == 0); + kernel_forward<<>>(B, T, C, H, r, k, v, w, u, y); +} + +void cuda_backward(int B, + int T, + int C, + int H, + bf16* r, + bf16* k, + bf16* v, + float* w, + bf16* u, + bf16* gy, + bf16* gr, + bf16* gk, + bf16* gv, + bf16* gw, + bf16* gu) +{ + assert(H * _N_ == C); + assert(_N_ % 4 == 0); + kernel_backward_111<<>>(B, T, C, H, r, k, v, w, u, gy, gr, gk, gv, gu); + kernel_backward_222<<>>(B, T, C, H, r, k, v, w, u, gy, gw); +} diff --git a/megatron/model/rwkv/v6/cuda/wkv6_op.cpp b/megatron/model/rwkv/v6/cuda/wkv6_op.cpp new file mode 100644 index 000000000..385b47487 --- /dev/null +++ b/megatron/model/rwkv/v6/cuda/wkv6_op.cpp @@ -0,0 +1,95 @@ +#include +#include "ATen/ATen.h" +typedef at::BFloat16 bf16; + +void cuda_forward(int B, + int T, + int C, + int H, + bf16* r, + bf16* k, + bf16* v, + float* w, + bf16* u, + bf16* y); +void cuda_backward(int B, + int T, + int C, + int H, + bf16* r, + bf16* k, + bf16* v, + float* w, + bf16* u, + bf16* gy, + bf16* gr, + bf16* gk, + bf16* gv, + bf16* gw, + bf16* gu); + +void forward(int64_t B, + int64_t T, + int64_t C, + int64_t H, + torch::Tensor& r, + torch::Tensor& k, + torch::Tensor& v, + torch::Tensor& w, + torch::Tensor& u, + torch::Tensor& y) +{ + cuda_forward(B, + T, + C, + H, + r.data_ptr(), + k.data_ptr(), + v.data_ptr(), + w.data_ptr(), + u.data_ptr(), + y.data_ptr()); +} +void backward(int64_t B, + int64_t T, + int64_t C, + int64_t H, + torch::Tensor& r, + torch::Tensor& k, + torch::Tensor& v, + torch::Tensor& w, + torch::Tensor& u, + torch::Tensor& gy, + torch::Tensor& gr, + torch::Tensor& gk, + torch::Tensor& gv, + torch::Tensor& gw, + torch::Tensor& gu) +{ + cuda_backward(B, + T, + C, + H, + r.data_ptr(), + k.data_ptr(), + v.data_ptr(), + w.data_ptr(), + u.data_ptr(), + gy.data_ptr(), + gr.data_ptr(), + gk.data_ptr(), + gv.data_ptr(), + gw.data_ptr(), + gu.data_ptr()); +} +PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) +{ + m.def("forward", &forward, "wkv6 forward"); + m.def("backward", &backward, "wkv6 backward"); +} + +TORCH_LIBRARY(wkv6, m) +{ + m.def("forward", forward); + m.def("backward", backward); +} diff --git a/megatron/model/rwkv/v6/rwkv.py b/megatron/model/rwkv/v6/rwkv.py new file mode 100644 index 000000000..5d4e0d144 --- /dev/null +++ b/megatron/model/rwkv/v6/rwkv.py @@ -0,0 +1,357 @@ +######################################################################################################## +# The RWKV Language Model - https://github.com/BlinkDL/RWKV-LM +######################################################################################################## + +import os, math, gc, importlib +import torch +import torch.nn as nn +from torch.nn import functional as F +from torch.utils.cpp_extension import load + + +class WKV(torch.autograd.Function): + """ + WKV block, using cuda kernel. + """ + + @staticmethod + def forward(ctx, B, T, C, H, r, k, v, w, u): + with torch.no_grad(): + assert r.dtype == torch.bfloat16 + assert k.dtype == torch.bfloat16 + assert v.dtype == torch.bfloat16 + assert w.dtype == torch.bfloat16 + assert u.dtype == torch.bfloat16 + ctx.B = B + ctx.T = T + ctx.C = C + ctx.H = H + assert r.is_contiguous() + assert k.is_contiguous() + assert v.is_contiguous() + assert w.is_contiguous() + assert u.is_contiguous() + ew = (-torch.exp(w.float())).contiguous() + ctx.save_for_backward(r, k, v, ew, u) + y = torch.empty( + (B, T, C), + device=r.device, + dtype=torch.bfloat16, + memory_format=torch.contiguous_format, + ) # .uniform_(-100, 100) + wkv_cuda.forward(B, T, C, H, r, k, v, ew, u, y) + return y + + @staticmethod + def backward(ctx, gy): + with torch.no_grad(): + assert gy.dtype == torch.bfloat16 + B = ctx.B + T = ctx.T + C = ctx.C + H = ctx.H + assert gy.is_contiguous() + r, k, v, ew, u = ctx.saved_tensors + gr = torch.empty( + (B, T, C), + device=gy.device, + requires_grad=False, + dtype=torch.bfloat16, + memory_format=torch.contiguous_format, + ) # .uniform_(-100, 100) + gk = torch.empty( + (B, T, C), + device=gy.device, + requires_grad=False, + dtype=torch.bfloat16, + memory_format=torch.contiguous_format, + ) # .uniform_(-100, 100) + gv = torch.empty( + (B, T, C), + device=gy.device, + requires_grad=False, + dtype=torch.bfloat16, + memory_format=torch.contiguous_format, + ) # .uniform_(-100, 100) + gw = torch.empty( + (B, T, C), + device=gy.device, + requires_grad=False, + dtype=torch.bfloat16, + memory_format=torch.contiguous_format, + ) # .uniform_(-100, 100) + gu = torch.empty( + (B, C), + device=gy.device, + requires_grad=False, + dtype=torch.bfloat16, + memory_format=torch.contiguous_format, + ) # .uniform_(-100, 100) + wkv_cuda.backward(B, T, C, H, r, k, v, ew, u, gy, gr, gk, gv, gw, gu) + gu = torch.sum(gu, 0).view(H, C // H) + return (None, None, None, None, gr, gk, gv, gw, gu) + + +def RUN_CUDA_RWKV(B, T, C, H, r, k, v, w, u): + return WKV.apply(B, T, C, H, r, k, v, w, u) + + +# RWKV6 time mix +class RWKV_TimeMix(nn.Module): + """ + Time Mixing Layer + The RWKV substitute for attention. + TODO: fix jit compiling. + """ + + def __init__(self, neox_args, layer_number): + super().__init__() + self.neox_args = neox_args + self.layer_number = layer_number + + with torch.no_grad(): + ratio_0_to_1 = layer_number / (neox_args.num_layers - 1) # 0 to 1 + ratio_1_to_almost0 = 1.0 - (layer_number / neox_args.num_layers) # 1 to ~0 + ddd = torch.ones(1, 1, neox_args.hidden_size) + for i in range(neox_args.hidden_size): + ddd[0, 0, i] = i / neox_args.hidden_size + + # fancy time_mix + self.time_maa_x = nn.Parameter(1.0 - torch.pow(ddd, ratio_1_to_almost0)) + self.time_maa_w = nn.Parameter(1.0 - torch.pow(ddd, ratio_1_to_almost0)) + self.time_maa_k = nn.Parameter(1.0 - torch.pow(ddd, ratio_1_to_almost0)) + self.time_maa_v = nn.Parameter( + 1.0 - (torch.pow(ddd, ratio_1_to_almost0) + 0.3 * ratio_0_to_1) + ) + self.time_maa_r = nn.Parameter( + 1.0 - torch.pow(ddd, 0.5 * ratio_1_to_almost0) + ) + self.time_maa_g = nn.Parameter( + 1.0 - torch.pow(ddd, 0.5 * ratio_1_to_almost0) + ) + + TIME_MIX_EXTRA_DIM = 32 # generate TIME_MIX for w,k,v,r,g + self.time_maa_w1 = nn.Parameter( + torch.zeros(neox_args.hidden_size, TIME_MIX_EXTRA_DIM * 5).uniform_( + -1e-4, 1e-4 + ) + ) + self.time_maa_w2 = nn.Parameter( + torch.zeros(5, TIME_MIX_EXTRA_DIM, neox_args.hidden_size).uniform_( + -1e-4, 1e-4 + ) + ) + + # fancy time_decay + decay_speed = torch.ones(neox_args.dim_att) + for n in range(neox_args.dim_att): + decay_speed[n] = -6 + 5 * (n / (neox_args.dim_att - 1)) ** ( + 0.7 + 1.3 * ratio_0_to_1 + ) + self.time_decay = nn.Parameter(decay_speed.reshape(1, 1, neox_args.dim_att)) + + TIME_DECAY_EXTRA_DIM = 64 + self.time_decay_w1 = nn.Parameter( + torch.zeros(neox_args.hidden_size, TIME_DECAY_EXTRA_DIM).uniform_( + -1e-4, 1e-4 + ) + ) + self.time_decay_w2 = nn.Parameter( + torch.zeros(TIME_DECAY_EXTRA_DIM, neox_args.dim_att).uniform_( + -1e-4, 1e-4 + ) + ) + + tmp = torch.zeros(neox_args.dim_att) + for n in range(neox_args.dim_att): + zigzag = ((n + 1) % 3 - 1) * 0.1 + tmp[n] = ratio_0_to_1 * (1 - (n / (neox_args.dim_att - 1))) + zigzag + + self.time_faaaa = nn.Parameter( + tmp.reshape(neox_args.num_attention_heads, neox_args.head_size) + ) + + self.time_shift = nn.ZeroPad2d((0, 0, 1, -1)) + self.receptance = nn.Linear( + neox_args.hidden_size, neox_args.dim_att, bias=False + ) + self.key = nn.Linear(neox_args.hidden_size, neox_args.dim_att, bias=False) + + self.value = nn.Linear(neox_args.hidden_size, neox_args.dim_att, bias=False) + self.output = nn.Linear(neox_args.dim_att, neox_args.hidden_size, bias=False) + self.gate = nn.Linear(neox_args.hidden_size, neox_args.dim_att, bias=False) + self.ln_x = nn.GroupNorm( + neox_args.num_attention_heads, neox_args.dim_att, eps=(1e-5) * (8**2) + ) + + def jit_func(self, x): + B, T, C = x.size() + + xx = self.time_shift(x) - x + + xxx = x + xx * self.time_maa_x + xxx = torch.tanh(xxx @ self.time_maa_w1).view(B * T, 5, -1).transpose(0, 1) + xxx = torch.bmm(xxx, self.time_maa_w2).view(5, B, T, -1) + mw, mk, mv, mr, mg = xxx.unbind(dim=0) + + xw = x + xx * (self.time_maa_w + mw) + xk = x + xx * (self.time_maa_k + mk) + xv = x + xx * (self.time_maa_v + mv) + xr = x + xx * (self.time_maa_r + mr) + xg = x + xx * (self.time_maa_g + mg) + + r = self.receptance(xr) + k = self.key(xk) + v = self.value(xv) + g = F.silu(self.gate(xg)) + + ww = torch.tanh(xw @ self.time_decay_w1) @ self.time_decay_w2 + w = self.time_decay + ww + + return r, k, v, g, w + + def jit_func_2(self, x, g): + B, T, C = x.size() + x = x.view(B * T, C) + + x = self.ln_x(x).view(B, T, C) + x = self.output(x * g) + return x + + def forward(self, x): + B, T, C = x.size() + H = self.neox_args.num_attention_heads + + r, k, v, g, w = self.jit_func(x) + x = RUN_CUDA_RWKV(B, T, C, H, r, k, v, w, u=self.time_faaaa) + + return self.jit_func_2(x, g) + + +class RWKV_ChannelMix(nn.Module): + """ + Channel Mix layer. The ffn in RWKV + """ + + def __init__(self, neox_args, layer_number): + super().__init__() + self.neox_args = neox_args + self.layer_number = layer_number + self.time_shift = nn.ZeroPad2d((0, 0, 1, -1)) + + with torch.no_grad(): # fancy init of time_mix + ratio_1_to_almost0 = 1.0 - (layer_number / neox_args.num_layers) # 1 to ~0 + ddd = torch.ones(1, 1, neox_args.hidden_size) + for i in range(neox_args.hidden_size): + ddd[0, 0, i] = i / neox_args.hidden_size + self.time_maa_k = nn.Parameter(1.0 - torch.pow(ddd, ratio_1_to_almost0)) + self.time_maa_r = nn.Parameter(1.0 - torch.pow(ddd, ratio_1_to_almost0)) + + self.key = nn.Linear(neox_args.hidden_size, neox_args.dim_ffn, bias=False) + self.receptance = nn.Linear( + neox_args.hidden_size, neox_args.hidden_size, bias=False + ) + self.value = nn.Linear(neox_args.dim_ffn, neox_args.hidden_size, bias=False) + + def forward(self, x): + xx = self.time_shift(x) - x + xk = x + xx * self.time_maa_k + xr = x + xx * self.time_maa_r + + k = self.key(xk) + k = torch.relu(k) ** 2 + kv = self.value(k) + return torch.sigmoid(self.receptance(xr)) * kv + + +class RWKVResidualLayer(nn.Module): + """ + RWKV layer definition + """ + + def __init__(self, neox_args, layer_number): + super().__init__() + self.neox_args = neox_args + self.layer_number = layer_number + self.fp16 = neox_args.precision == "fp16" + self.bf16 = neox_args.precision == "bfloat16" + if not hasattr(neox_args, "dim_att"): + neox_args.dim_att = neox_args.hidden_size + if not hasattr(neox_args, "dim_ffn"): + # Make hidden size 3.5x. Round to nearest multiple of 32 until we add hdim rounding logic + neox_args.dim_ffn = int((neox_args.hidden_size * 3.5) // 32 * 32) + assert neox_args.hidden_size % 32 == 0 + assert neox_args.dim_att % 32 == 0 + assert neox_args.dim_ffn % 32 == 0 + self.neox_args.head_size = neox_args.dim_att // neox_args.num_attention_heads + self.head_size = self.neox_args.head_size + self.num_attention_heads = neox_args.num_attention_heads + assert neox_args.dim_att % self.num_attention_heads == 0 + + if neox_args.attention_dropout > 0: + self.drop0 = nn.Dropout(p=neox_args.attention_dropout) + + self.ln1 = nn.LayerNorm(neox_args.hidden_size) + self.ln2 = nn.LayerNorm(neox_args.hidden_size) + + self.att = RWKV_TimeMix(neox_args, layer_number) + + self.ffn = RWKV_ChannelMix(neox_args, layer_number) + + if neox_args.attention_dropout > 0: + self.drop0 = nn.Dropout(p=neox_args.attention_dropout) + if neox_args.hidden_dropout > 0: + self.drop1 = nn.Dropout(p=neox_args.hidden_dropout) + + if layer_number == 0: + global wkv_cuda + """ + Load cuda kernel at runtime. The kernel uses run time variables to build, ideally it should not. + """ + wkv_cuda = load( + name="wkv6", + sources=[ + "megatron/model/rwkv/v6/cuda/wkv6_op.cpp", + f"megatron/model/rwkv/v6/cuda/wkv6_cuda.cu", + ], + verbose=True, + extra_cuda_cflags=[ + "-res-usage", + "--use_fast_math", + "-O3", + "-Xptxas -O3", + "--extra-device-vectorization", + f"-D_N_={self.neox_args.head_size}", + f"-D_T_={self.neox_args.seq_length}", + ], + ) + + def forward(self, x): + neox_args = self.neox_args + B, T, C = x.size() + if self.layer_number == 0: + x = self.ln1(x) + + if self.neox_args.attention_dropout == 0: + x = x + self.att(self.ln1(x)) + else: + x = self.drop0(x + self.att(self.ln1(x))) + + if self.neox_args.hidden_dropout == 0: + x = x + self.ffn(self.ln2(x)) + else: + x = self.drop1(x + self.ffn(self.ln2(x))) + + return x + + +class RWKVResidualLayerPipe(RWKVResidualLayer): + """ + RWKV Pipeline Layer + """ + + def forward(self, args): + assert len(args) == 2 + hidden_states, mask = args + neox_args = self.neox_args + return super().forward(hidden_states), mask diff --git a/megatron/neox_arguments/arguments.py b/megatron/neox_arguments/arguments.py index d96c48af3..ff4f4bc21 100644 --- a/megatron/neox_arguments/arguments.py +++ b/megatron/neox_arguments/arguments.py @@ -1068,6 +1068,15 @@ def calculate_derived(self): assert ( self.hidden_dropout == 0.0, ), "Mamba does not yet have dropout implemented" + if "rwkv" in self.attention_config: + assert ( + not self.is_pipe_parallel and self.model_parallel_size == 1 + ), "RWKV not currently compatible with parallelism" + if isinstance(self.zero_stage, int): + assert self.zero_stage <= 2, "Zero stage 3 not compatible with RWKV" + assert ( + self.hidden_dropout == 0.0, + ), "RWKV does not yet have dropout implemented" # Sparsity config if self.sparsity_config is None: diff --git a/megatron/neox_arguments/deepspeed_args.py b/megatron/neox_arguments/deepspeed_args.py index 708a5f5b1..270e67f8c 100644 --- a/megatron/neox_arguments/deepspeed_args.py +++ b/megatron/neox_arguments/deepspeed_args.py @@ -100,7 +100,9 @@ class NeoXArgsDeepspeedConfig(NeoXArgsTemplate): bf16: dict = None """ - Configuration for using bfloat16 floating-point format as an alternative to FP16. BFLOAT16 requires hardware support (e.g., NVIDIA A100). Dictionary options as described in Deepspeed documentation: https://www.deepspeed.ai/docs/config-json/#bfloat16-training-options + Configuration for using bfloat16 floating-point format as an alternative to FP16. BFLOAT16 requires hardware support (e.g., NVIDIA A100). + + Dictionary options as described in Deepspeed documentation: https://www.deepspeed.ai/docs/config-json/#bfloat16-training-options """ # ---Automatic Mixed Precision (AMP) Training Options--- diff --git a/megatron/neox_arguments/neox_args.py b/megatron/neox_arguments/neox_args.py index 8a216a25b..febefb3c2 100644 --- a/megatron/neox_arguments/neox_args.py +++ b/megatron/neox_arguments/neox_args.py @@ -36,6 +36,7 @@ "gmlp", "amlp", "flash", + "rwkv", "mamba", ] @@ -216,7 +217,7 @@ class NeoXArgsModel(NeoXArgsTemplate): The first item in the list specifies the attention type(s), and should be a list of strings. The second item specifies the number of times to repeat those attention types in the full list. - attention type choices: [global, local, sparse_fixed, sparse_variable, bslongformer, bigbird, "gmlp", "amlp", "flash", "mamba"] + attention type choices: [global, local, sparse_fixed, sparse_variable, bslongformer, bigbird, "gmlp", "amlp", "flash", "mamba", "rwkv"] So a 12 layer network with only global attention could be specified like: [[[`global`], 12]] diff --git a/tests/cpu_tests/action.yml b/tests/cpu_tests/action.yml index a7847d1ec..f8180605f 100644 --- a/tests/cpu_tests/action.yml +++ b/tests/cpu_tests/action.yml @@ -5,7 +5,7 @@ inputs: required: true type: string runs: - using: composite + using: composite steps: - uses: actions/checkout@v4 with: From 49cd41f7f1fb6b0fb34fdc3a648dbe4db8cc92e8 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 13 May 2024 11:27:14 -0400 Subject: [PATCH 85/99] Bump jinja2 from 3.1.3 to 3.1.4 in /requirements (#1211) Bumps [jinja2](https://github.com/pallets/jinja) from 3.1.3 to 3.1.4. - [Release notes](https://github.com/pallets/jinja/releases) - [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst) - [Commits](https://github.com/pallets/jinja/compare/3.1.3...3.1.4) --- updated-dependencies: - dependency-name: jinja2 dependency-type: direct:production ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- requirements/requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements/requirements.txt b/requirements/requirements.txt index a051200b5..501edf345 100644 --- a/requirements/requirements.txt +++ b/requirements/requirements.txt @@ -2,7 +2,7 @@ git+https://github.com/EleutherAI/DeeperSpeed.git@02e2ebf7dee6aaab3d89094ed470a4 ftfy>=6.0.1 git+https://github.com/EleutherAI/lm_dataformat.git@4eec05349977071bf67fc072290b95e31c8dd836 huggingface_hub>=0.11.0 -jinja2==3.1.3 +jinja2==3.1.4 lm_eval>=0.4.0,<=0.4.1 mpi4py>=3.0.3 numpy>=1.22.0 From d037756332ea226358314c489347ad677b363af1 Mon Sep 17 00:00:00 2001 From: Jacob Hatef <74274091+jahatef@users.noreply.github.com> Date: Thu, 16 May 2024 10:20:44 -0400 Subject: [PATCH 86/99] Run document update again (#1216) * misc changes to neox_args * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions --- configs/neox_arguments.md | 47 ++++++++++++++++++++++++++++++++++++--- 1 file changed, 44 insertions(+), 3 deletions(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index c8e1492ae..dd10a0e09 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 6fb840e + Default = 8d175ed current git hash of repository @@ -1201,7 +1201,7 @@ Text Generation arguments -- **num_experts**: int +- **moe_num_experts**: int Default = 1 @@ -1243,7 +1243,7 @@ Text Generation arguments - **moe_token_dropping**: bool - Default = True + Default = False Whether to drop tokens when exceeding capacity @@ -1273,6 +1273,47 @@ Text Generation arguments +- **moe_type**: str + + Default = megablocks + + Either `deepspeed` or `megablocks` + + + +- **moe_glu**: bool + + Default = False + + Use gated linear units in MoE + + + +- **moe_lbl_in_fp32**: bool + + Default = False + + Whether to compute the load balancing loss in fp32. + + + +- **moe_jitter_eps**: float + + Default = None + + Coefficient for MoE routing jitter. Jitter is + not used if set to None + + + +- **enable_expert_tensor_parallelism**: bool + + Default = False + + Enable expert tensor parallelism + + + ## NeoXArgsTokenizer Tokenizer Arguments From 153e732f7df9676d33d97f07f5e2009ae7b1b2a4 Mon Sep 17 00:00:00 2001 From: Jacob Hatef <74274091+jahatef@users.noreply.github.com> Date: Tue, 21 May 2024 18:34:53 -0400 Subject: [PATCH 87/99] Rwkv pipeline parallelism (#1221) * misc changes to neox_args * allow rwkv pp * Update NeoXArgs docs automatically * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions Co-authored-by: Quentin Anthony --- configs/neox_arguments.md | 2 +- megatron/neox_arguments/arguments.py | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index dd10a0e09..48c03f15a 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 8d175ed + Default = 0d5992f current git hash of repository diff --git a/megatron/neox_arguments/arguments.py b/megatron/neox_arguments/arguments.py index ff4f4bc21..98a444ea4 100644 --- a/megatron/neox_arguments/arguments.py +++ b/megatron/neox_arguments/arguments.py @@ -1070,8 +1070,8 @@ def calculate_derived(self): ), "Mamba does not yet have dropout implemented" if "rwkv" in self.attention_config: assert ( - not self.is_pipe_parallel and self.model_parallel_size == 1 - ), "RWKV not currently compatible with parallelism" + self.model_parallel_size == 1 + ), "RWKV not currently compatible with model parallelism" if isinstance(self.zero_stage, int): assert self.zero_stage <= 2, "Zero stage 3 not compatible with RWKV" assert ( From 2746d43ede314e74fd3bda818d6a044ac3c71b9b Mon Sep 17 00:00:00 2001 From: Colin Date: Tue, 21 May 2024 18:36:21 -0400 Subject: [PATCH 88/99] Add Torch Profiler Support (#1226) * format: flagged on pre-commit * feat: add pytorch profiling * Update NeoXArgs docs automatically * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions Co-authored-by: Quentin Anthony --- README.md | 11 ++++++++++- configs/neox_arguments.md | 2 +- images/pytorch_profiling.png | Bin 0 -> 89473 bytes megatron/data/helpers.cpp | 12 ++++++------ megatron/training.py | 22 ++++++++++++++++++++++ 5 files changed, 39 insertions(+), 8 deletions(-) create mode 100644 images/pytorch_profiling.png diff --git a/README.md b/README.md index e7f61bf20..e11122f5e 100644 --- a/README.md +++ b/README.md @@ -640,7 +640,7 @@ If you need to supply a hostfile for use with the MPI-based DeepSpeed launcher, # Profiling -We support profiling with Nsight Systems and PyTorch Memory Profiling. +We support profiling with Nsight Systems, the PyTorch Profiler, and PyTorch Memory Profiling. ## Nsight Systems Profiling @@ -656,6 +656,15 @@ The generated output file can then by viewed with the Nsight Systems GUI: ![Alt text](images/nsight_profiling.png) +## PyTorch Profiling + +To use the built-in PyTorch profiler, set config options `profile`, `profile_step_start`, and `profile_step_stop`. + +The PyTorch profiler will save traces to your `tensorboard` log directory. You can view these traces within +TensorBoard by following the steps [here](https://pytorch.org/tutorials/intermediate/tensorboard_profiler_tutorial.html). + +![Alt text](images/pytorch_profiling.png) + ## PyTorch Memory Profiling To use PyTorch Memory Profiling, set config options `memory_profiling` and `memory_profiling_path`. diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 48c03f15a..1dbb4dd8a 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 0d5992f + Default = b68ba6d current git hash of repository diff --git a/images/pytorch_profiling.png b/images/pytorch_profiling.png new file mode 100644 index 0000000000000000000000000000000000000000..e85324dc694d7c11e922a0cdc54f38d364f99d59 GIT binary patch literal 89473 zcmZ^~Wk8hc_XUa~AkrZn(nvQ$E8QX8-QCSdH%JH!skC%ShcrXOfPhGMch`OOob$W? z5BK^-X6B72_Fg;IdLoq-rO;jxy@G>-Lz9sf{{ROE{{jx~S?^0k;2ZgI;a|XiFI+`s 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z*)v8`MOYHf2jb-X2_N8FcXbHASTsA>Aga&l>6wJEfq(}Te0OczeLI3~& literal 0 HcmV?d00001 diff --git a/megatron/data/helpers.cpp b/megatron/data/helpers.cpp index aca290854..9b062b050 100644 --- a/megatron/data/helpers.cpp +++ b/megatron/data/helpers.cpp @@ -428,9 +428,9 @@ py::array build_mapping_impl(const py::array_t& docs_, } } // for (auto sent_index=sent_index_first; ... - } // if (num_remain_sent > 1) { - } // for (int doc=0; doc < num_docs; ++doc) { - } // for (int epoch=0; epoch < num_epochs; ++epoch) { + } // if (num_remain_sent > 1) { + } // for (int doc=0; doc < num_docs; ++doc) { + } // for (int epoch=0; epoch < num_epochs; ++epoch) { if (!second) { if (verbose) { @@ -660,9 +660,9 @@ py::array build_blocks_mapping_impl(const py::array_t& docs_, num_sent = 0; } } // for (auto sent_index=sent_index_first; ... - } // if (num_remain_sent > 1) { - } // for (int doc=0; doc < num_docs; ++doc) { - } // for (int epoch=0; epoch < num_epochs; ++epoch) { + } // if (num_remain_sent > 1) { + } // for (int doc=0; doc < num_docs; ++doc) { + } // for (int epoch=0; epoch < num_epochs; ++epoch) { if (!second) { if (verbose) { diff --git a/megatron/training.py b/megatron/training.py index 6a4e843ab..3265680c5 100644 --- a/megatron/training.py +++ b/megatron/training.py @@ -970,7 +970,28 @@ def train( # to monitor if we've skipped many iterations in a row and trigger an early exit overflow_monitor = OverflowMonitor(optimizer) + + if neox_args.profile: + schedule = torch.profiler.schedule( + wait=neox_args.profile_step_start, + warmup=1, + active=neox_args.profile_step_stop - neox_args.profile_step_start, + ) + prof = torch.profiler.profile( + schedule=schedule, + on_trace_ready=torch.profiler.tensorboard_trace_handler( + neox_args.tensorboard_dir + ), + record_shapes=True, + profile_memory=True, + with_flops=True, + with_modules=True, + with_stack=True, + ) + prof.start() while iteration < neox_args.train_iters: + if neox_args.profile: + prof.step() if neox_args.profile and iteration == neox_args.profile_step_start: torch.cuda.cudart().cudaProfilerStart() loss_dict, skipped_iter = train_step( @@ -983,6 +1004,7 @@ def train( ) if neox_args.profile and iteration == neox_args.profile_step_stop: torch.cuda.cudart().cudaProfilerStop() + prof.stop() iteration += 1 neox_args.iteration = iteration if neox_args.precision == "fp16": From 1d557086119553f261ea53bb5c3e4ecf4d2ec5e3 Mon Sep 17 00:00:00 2001 From: Lang Xu <59843980+R0n12@users.noreply.github.com> Date: Tue, 21 May 2024 18:37:57 -0400 Subject: [PATCH 89/99] fixed fused_rope naming in JIT + added readme for amd support (#1224) --- README.md | 11 ++++++++++- megatron/fused_kernels/__init__.py | 6 +++--- tests/model/test_fused_kernels.py | 4 +--- 3 files changed, 14 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index e11122f5e..e63a59f28 100644 --- a/README.md +++ b/README.md @@ -96,7 +96,6 @@ To install the remaining basic dependencies, run: pip install -r requirements/requirements.txt pip install -r requirements/requirements-wandb.txt # optional, if logging using WandB pip install -r requirements/requirements-tensorboard.txt # optional, if logging via tensorboard -python ./megatron/fused_kernels/setup.py install # optional, if using fused kernels ``` from the repository root. @@ -106,6 +105,16 @@ from the repository root. +### Fused Kernels +We now support AMD GPUs (MI100, MI250X) through JIT fused-kernel compilation. Fused kernels will be built and loaded as needed. To avoid waiting during job launching, you can also do the following for manual pre-build: + +```python +python +from megatron.fused_kernels import load +load() +``` +This will automatically adapts building process over different GPU vendors (AMD, NVIDIA) without platform specific code changes. To further test fused kernels using `pytest`, use `pytest tests/model/test_fused_kernels.py` + ### Flash Attention To use [Flash-Attention](https://github.com/HazyResearch/flash-attention), install the additional dependencies in `./requirements/requirements-flashattention.txt` and set the attention type in your configuration accordingly (see [configs](./configs/)). This can provide significant speed-ups over regular attention on certain GPU architectures, including Ampere GPUs (such as A100s); see the repository for more details. diff --git a/megatron/fused_kernels/__init__.py b/megatron/fused_kernels/__init__.py index 1e4c9efac..3694e964b 100644 --- a/megatron/fused_kernels/__init__.py +++ b/megatron/fused_kernels/__init__.py @@ -135,8 +135,8 @@ def _cpp_extention_load_helper( srcpath / "fused_rotary_positional_embedding.cpp", srcpath / "fused_rotary_positional_embedding_cuda.cu", ] - fused_rotary_positional_embedding_cuda = _cpp_extention_load_helper( - "fused_rotary_positional_embedding_cuda", + fused_rotary_positional_embedding = _cpp_extention_load_helper( + "fused_rotary_positional_embedding", sources, extra_cuda_flags, extra_include_paths, @@ -174,7 +174,7 @@ def load_fused_kernels(): print(e) print("=" * 100) print( - f"ERROR: Fused kernels configured but not properly installed. Please run `pip install {str(srcpath)}` to install them" + f"ERROR: Fused kernels configured but not properly installed. Please run `from megatron.fused_kernels import load()` then `load()` to load them correctly" ) print("=" * 100) exit() diff --git a/tests/model/test_fused_kernels.py b/tests/model/test_fused_kernels.py index cc458bf4a..125eb6c52 100644 --- a/tests/model/test_fused_kernels.py +++ b/tests/model/test_fused_kernels.py @@ -30,9 +30,7 @@ ) -@pytest.mark.xfail( - reason="ModuleNotFoundError: No module named 'scaled_masked_softmax_cuda'" -) +@pytest.mark.xfail(reason="SystemExit: None") def test_load_fused_kernels(): load() try: From d3d59f2f1ff9b104ff024965b7519d757c955c40 Mon Sep 17 00:00:00 2001 From: yang <7129+yang@users.noreply.github.com> Date: Tue, 21 May 2024 15:39:08 -0700 Subject: [PATCH 90/99] Small tidying (#1222) * Tolerate no fused kernels * Fix requirements file syntax * Update NeoXArgs docs automatically * Update NeoXArgs docs automatically --------- Co-authored-by: Yang Zhang Co-authored-by: github-actions Co-authored-by: Quentin Anthony --- configs/neox_arguments.md | 2 +- megatron/model/norms.py | 7 +++++-- requirements/requirements.txt | 4 ++-- 3 files changed, 8 insertions(+), 5 deletions(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 1dbb4dd8a..c6d369524 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = b68ba6d + Default = 1b85a2f current git hash of repository diff --git a/megatron/model/norms.py b/megatron/model/norms.py index 8b06b177c..dda44659f 100644 --- a/megatron/model/norms.py +++ b/megatron/model/norms.py @@ -14,7 +14,6 @@ import torch from torch.nn import LayerNorm as LayerNorm -from .fused_layer_norm import MixedFusedLayerNorm def get_norm(neox_args): @@ -23,7 +22,11 @@ def get_norm(neox_args): eps = neox_args.rms_norm_epsilon elif neox_args.norm == "layernorm": eps = neox_args.layernorm_epsilon - norm = MixedFusedLayerNorm if neox_args.layernorm_fusion else LayerNorm + if neox_args.layernorm_fusion: + from .fused_layer_norm import MixedFusedLayerNorm + norm = MixedFusedLayerNorm + else: + norm = LayerNorm elif neox_args.norm == "scalenorm": eps = neox_args.scalenorm_epsilon norm = ScaleNorm diff --git a/requirements/requirements.txt b/requirements/requirements.txt index 501edf345..3ac92598a 100644 --- a/requirements/requirements.txt +++ b/requirements/requirements.txt @@ -1,6 +1,6 @@ -git+https://github.com/EleutherAI/DeeperSpeed.git@02e2ebf7dee6aaab3d89094ed470a4609763c742#egg=deepspeed +deepspeed@git+https://github.com/EleutherAI/DeeperSpeed.git@02e2ebf7dee6aaab3d89094ed470a4609763c742#egg=deepspeed ftfy>=6.0.1 -git+https://github.com/EleutherAI/lm_dataformat.git@4eec05349977071bf67fc072290b95e31c8dd836 +lm_dataformat@git+https://github.com/EleutherAI/lm_dataformat.git@4eec05349977071bf67fc072290b95e31c8dd836 huggingface_hub>=0.11.0 jinja2==3.1.4 lm_eval>=0.4.0,<=0.4.1 From dfc6722f2ab0e3efb65ce5b49449a2a8b14a26b7 Mon Sep 17 00:00:00 2001 From: Stella Biderman Date: Sun, 26 May 2024 17:46:02 -0400 Subject: [PATCH 91/99] Fix markdown formatting error (#1217) * Update README.md * Update NeoXArgs docs automatically * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions Co-authored-by: Quentin Anthony --- configs/README.md | 2 +- configs/neox_arguments.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/configs/README.md b/configs/README.md index d8ae81739..e14274b56 100644 --- a/configs/README.md +++ b/configs/README.md @@ -9,7 +9,7 @@ Below is an example configuration `.yaml` to train a ~160M parameter GPT model. For a detailed list of all the arguments available for neox, see [neox_arguments.md](neox_arguments.md) -Note: yaml arguments may be formatted with either '-' or '_'. The standard separator used is a '_' as shown in the example configurations below. However, the use of '-' as a separator may be deprecated in the future. +Note: yaml arguments may be formatted with either '-' or '\_'. The standard separator used is a '\_' as shown in the example configurations below. However, the use of '-' as a separator may be deprecated in the future. ```yaml # GPT-3 pretraining setup { diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index c6d369524..306a0da5d 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 1b85a2f + Default = a3fb470 current git hash of repository From b5c0afe42851dc4878aaa1b56021dc71b3ee435d Mon Sep 17 00:00:00 2001 From: Jacob Hatef <74274091+jahatef@users.noreply.github.com> Date: Tue, 4 Jun 2024 13:22:14 -0400 Subject: [PATCH 92/99] add workflow_dispatch to gh actions pr so we can run on command (#1233) * add workflow_dispatch to gh actions pr so we can run on command * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions --- .github/workflows/pull_request.yml | 2 +- configs/neox_arguments.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/pull_request.yml b/.github/workflows/pull_request.yml index 3213718df..a2b1a2fc2 100644 --- a/.github/workflows/pull_request.yml +++ b/.github/workflows/pull_request.yml @@ -1,6 +1,6 @@ name: Pull Request -on: [pull_request] +on: [pull_request, workflow_dispatch] jobs: pre-commit: diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 306a0da5d..c60d1e15f 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = a3fb470 + Default = 516169c current git hash of repository From 4a34e0a565f19a8578210654afcb3bb835fcc35e Mon Sep 17 00:00:00 2001 From: jaimemcc <99298642+jaimemcc-intel@users.noreply.github.com> Date: Wed, 5 Jun 2024 15:26:54 -0700 Subject: [PATCH 93/99] init changes to README (#1232) * init changes to README * Update NeoXArgs docs automatically * Update README.md * Update NeoXArgs docs automatically * Update README.md * Update NeoXArgs docs automatically * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions Co-authored-by: Quentin Anthony --- configs/neox_arguments.md | 2 +- tests/README.md | 77 ++++++++++++++++++++++++++++++++++++++- 2 files changed, 77 insertions(+), 2 deletions(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index c60d1e15f..f6c3ecde3 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 516169c + Default = 7aa0074 current git hash of repository diff --git a/tests/README.md b/tests/README.md index 316096cc5..390a52898 100644 --- a/tests/README.md +++ b/tests/README.md @@ -32,7 +32,7 @@ pytest --forked tests/model/test_model_generation.py Some tests can run on cpu only. These are marked with the decorator @pytest.mark.cpu. The test cases for cpu can be run with: -```` +``` pytest tests -m cpu ``` @@ -49,3 +49,78 @@ if You see this kind of error: RuntimeError: Cannot re-initialize CUDA in forked subprocess. To use CUDA with multiprocessing, you must use the 'spawn' start method ``` It usually means that you used some pytorch.cuda function before the test creates the processes. However just importing `from torch.utils import cpp_extension` can also trigger this. + + +## CPU Test Integration + +Tests can be run against physical CPUs through GitHub Actions. To have tests run on the physical CPU test, here is generally how the CI should be written: + +### runs-on + +The CI needs to be written to target the CPU Github Action runner. The jobs that need to run on CPU should use the hardware runner's labels: +```yaml +jobs: + cpu-test-job: + runs-on: [ 'self-hosted', 'aws', 'test'] # these labels tell GitHub to execute on the runner with the 'aws' and 'test' labels +``` + +### Software dependencies + +Hardware tests that need python and docker should install them as part of the test execution to make sure the tests run as expected: +```yaml +steps: + # sample syntax to setup python with pip + - uses: actions/setup-python@v4 + with: + python-version: "3.8" + cache: "pip" + + # sample setup of docker (there's no official Docker setup action) + - name: Docker setup + run: | # taken from Docker's installation page: https://docs.docker.com/engine/install/ubuntu/ + # Add Docker's official GPG key: + sudo apt-get update + sudo apt-get install ca-certificates curl + sudo install -m 0755 -d /etc/apt/keyrings + sudo curl -fsSL https://download.docker.com/linux/ubuntu/gpg -o /etc/apt/keyrings/docker.asc + sudo chmod a+r /etc/apt/keyrings/docker.asc + # Add the repository to Apt sources: + echo \ + "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc] https://download.docker.com/linux/ubuntu \ + $(. /etc/os-release && echo "$VERSION_CODENAME") stable" | \ + sudo tee /etc/apt/sources.list.d/docker.list > /dev/null + sudo apt-get update + sudo apt-get install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin -y +``` + +Any other software dependencies should be assumed to be missing and installed as part of the CI. + +### Using Docker image + +Using the Docker image and running tests in a container is recommended to resolve environment issues. There is a modified docker-compose.yml in tests/cpu_tests directory that is recommended to be used for CPU tests: + +```bash +cp tests/cpu_tests/docker-compose.yml . +# export any env variables here that should be used: +export NEOX_DATA_PATH='./data/enwik8' +docker compose run -d --build --name $CONTAINER gpt-neox tail -f /dev/null +# then can set up and run tests in the container using docker exec +docker exec $CONTAINER pip install -r /workspace/requirements-dev.txt +# etc. +# please clean up the container as part of the CI: +docker rm $CONTAINER +``` + +At the time of writing there is no built-in method to provide an offline-built Docker image to `jobs..container`. + +### Using existing CPU test CI + +There is an existing CPU test workflow that can be included in existing CI: + +```yaml +steps: + - name: Run CPU Tests + uses: + target_test_ref: $GITHUB_REF # replace with the ref/SHA that the tests should be run on + # have a look at the reusable workflow here: https://github.com/EleutherAI/gpt-neox/blob/main/tests/cpu_tests/action.yml +``` From 90a6cdb35f11d3a1892da4cb242c6a2576bcfb6a Mon Sep 17 00:00:00 2001 From: dmahan93 <44207705+dmahan93@users.noreply.github.com> Date: Thu, 6 Jun 2024 20:24:49 -0500 Subject: [PATCH 94/99] fix summed biases not being divided by mp size (#1220) --- tools/ckpts/convert_hf_to_sequential.py | 15 +++++++++++++-- 1 file changed, 13 insertions(+), 2 deletions(-) diff --git a/tools/ckpts/convert_hf_to_sequential.py b/tools/ckpts/convert_hf_to_sequential.py index c53f28391..55cfc6517 100644 --- a/tools/ckpts/convert_hf_to_sequential.py +++ b/tools/ckpts/convert_hf_to_sequential.py @@ -119,16 +119,27 @@ def shard_sequential_mp(num_mp_ranks, sequential): ranks = {x: dict() for x in range(num_mp_ranks)} for k, v in sequential.items(): if reduce( + np.logical_or, + [ + x in k + for x in [ + "dense_4h_to_h.bias", + "attention.dense.bias", + ] + ], + ): + # Divide by tp_size since they get added together + for x in range(num_mp_ranks): + ranks[x][k] = v / num_mp_ranks + elif reduce( np.logical_or, [ x in k for x in [ "layernorm", "rotary_emb", - "dense_4h_to_h.bias", "norm.weight", "norm.bias", - "attention.dense.bias", ] ], ): From 2382bd4a6bfd0ec7199e1b7876cd8c457029e8e1 Mon Sep 17 00:00:00 2001 From: yang <7129+yang@users.noreply.github.com> Date: Thu, 6 Jun 2024 18:27:01 -0700 Subject: [PATCH 95/99] Fix changed behavior of pipe_parallel (#1219) * Fix changed behavior of pipe_parallel * Update NeoXArgs docs automatically * Update NeoXArgs docs automatically * Update NeoXArgs docs automatically --------- Co-authored-by: Yang Zhang Co-authored-by: github-actions Co-authored-by: Quentin Anthony --- configs/neox_arguments.md | 2 +- megatron/neox_arguments/arguments.py | 17 ++++------------- 2 files changed, 5 insertions(+), 14 deletions(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index f6c3ecde3..7a56e361e 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 7aa0074 + Default = 8451671 current git hash of repository diff --git a/megatron/neox_arguments/arguments.py b/megatron/neox_arguments/arguments.py index 98a444ea4..9cad02c43 100644 --- a/megatron/neox_arguments/arguments.py +++ b/megatron/neox_arguments/arguments.py @@ -180,7 +180,6 @@ def from_ymls(cls, paths_to_yml_files: List[str], overwrite_values: Dict = None) config_files = dict() # iterate of all to be loaded yaml files for conf_file_name in paths_to_yml_files: - # load file with open(conf_file_name) as conf_file: conf = yaml.load(conf_file, Loader=yaml.FullLoader) @@ -477,7 +476,6 @@ def get_extra_deepspeed_args(self): return extra_ds_args def get_deepspeed_main_args(self): - args_list = list() if self.autotuning_run is not None: @@ -796,14 +794,11 @@ def calculate_batch_parameters( # either none of the three parameters are provided or just gradient_accumulation_step is provided else: - assert ( - False - ), "Either train_batch_size or train_micro_batch_size_per_gpu needs to be provided" + assert False, "Either train_batch_size or train_micro_batch_size_per_gpu needs to be provided" return int(train_batch), int(micro_batch), int(grad_acc) @staticmethod def check_batch_parameters(dp_world_size, train_batch, micro_batch, grad_acc): - assert ( train_batch > 0 ), f"Train batch size: {train_batch} has to be greater than 0" @@ -1033,10 +1028,7 @@ def calculate_derived(self): # Update 'is pipe parallel' flag # if we set pipe_parallel_size to 0 or 1, GPT2ModelPipe.to_sequential() is called, and we run training with # the sequential model without the PipelineModule wrapper to avoid the overhead it incurs - self.update_value( - "is_pipe_parallel", - self.pipe_parallel_size > 1 and self.moe_num_experts == 1, - ) + self.update_value("is_pipe_parallel", self.pipe_parallel_size >= 1) if self.moe_num_experts > 1: assert not ( self.is_pipe_parallel or self.pipe_parallel_size > 1 @@ -1106,8 +1098,8 @@ def calculate_derived(self): if "flash" in self.attention_config: _flash_version = packaging.version.Version(version("flash-attn")) if self.sliding_window_width is not None: - assert _flash_version >= packaging.version.Version( - "2.3.0" + assert ( + _flash_version >= packaging.version.Version("2.3.0") ), f"Flash-Attention version ({str(_flash_version)}) must be >= 2.3.0 to support sliding window attention." if self.pos_emb == "alibi": if not _flash_version >= packaging.version.Version("2.4.0.post1"): @@ -1234,7 +1226,6 @@ def validate_values(self): # Parameters sharing does not work with torch DDP. if (self.num_unique_layers is not None) and (self.num_layers is not None): - if not (self.num_unique_layers <= self.num_layers): error_message = ( self.__class__.__name__ From 4c426da8b6149e2313bc6e00584531f004cfe457 Mon Sep 17 00:00:00 2001 From: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com> Date: Thu, 6 Jun 2024 21:37:48 -0400 Subject: [PATCH 96/99] Conversion script bugfixes (#1218) * update is_pipe_parallel logic ; handle tied-embeddings case correctly * Update NeoXArgs docs automatically * revert PP to be consistent * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions Co-authored-by: Quentin Anthony --- configs/neox_arguments.md | 2 +- tools/ckpts/convert_neox_to_hf.py | 65 ++++++++++++++++++++++--------- 2 files changed, 48 insertions(+), 19 deletions(-) diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index 7a56e361e..c884afd97 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 8451671 + Default = 714b299 current git hash of repository diff --git a/tools/ckpts/convert_neox_to_hf.py b/tools/ckpts/convert_neox_to_hf.py index 35812383e..f4e0ccf9f 100644 --- a/tools/ckpts/convert_neox_to_hf.py +++ b/tools/ckpts/convert_neox_to_hf.py @@ -580,30 +580,59 @@ def convert( # Load output embedding if not sequential: - loaded_tp_ranks = load_partitions( - input_checkpoint_path, - mp_partitions, - get_key(loaded_config, "num-layers") + 4, - sequential=sequential, - ) + if get_key(loaded_config, "no-weight-tying", False): + # if we have trained input + output embedding layers without tied weights + loaded_tp_ranks = load_partitions( + input_checkpoint_path, + mp_partitions, + get_key(loaded_config, "num-layers") + 4, + sequential=sequential, + ) + else: + # in this case, output embedding layer and input embedding layer are tied. + # load + save the input embed weights into the output embedding layer's place. + loaded_tp_ranks = load_partitions( + input_checkpoint_path, + mp_partitions, + layer_idx=0, + sequential=sequential, + ) # output embedding / LM head if architecture == "neox": # name of lm head / final linear proj varies lm_head = hf_model.embed_out else: lm_head = hf_model.lm_head - lm_head.load_state_dict( - { - "weight": torch.cat( - get_state( - loaded_tp_ranks, - "final_linear.weight", - layer_idx=get_key(loaded_config, "num-layers") + 4, - sequential=sequential, + + if get_key(loaded_config, "no-weight-tying", False): + # save the (untied) final linear into LM head for HF + lm_head.load_state_dict( + { + "weight": torch.cat( + get_state( + loaded_tp_ranks, + "final_linear.weight", + layer_idx=get_key(loaded_config, "num-layers") + 4, + sequential=sequential, + ), + dim=0, ), - dim=0, - ), - } - ) + } + ) + else: + # embedding layers are tied. transpose input layer and save + lm_head.load_state_dict( + { + "weight": torch.cat( + get_state( + loaded_tp_ranks, + "word_embeddings.weight", + layer_idx=0, + sequential=sequential, + ), + dim=0, + ), + } + ) del loaded_tp_ranks From 2608972a4957553bf6556044c8faf0bc28bcdafc Mon Sep 17 00:00:00 2001 From: Jacob Hatef <74274091+jahatef@users.noreply.github.com> Date: Wed, 19 Jun 2024 16:57:53 -0400 Subject: [PATCH 97/99] fix python version and pytest install (#1234) * fix python version and pytest install * Update NeoXArgs docs automatically * python3 * Update NeoXArgs docs automatically * pip not pip3 * Update NeoXArgs docs automatically * python3 pip * Update NeoXArgs docs automatically * python3 -m pip * Update NeoXArgs docs automatically * Update NeoXArgs docs automatically * Update NeoXArgs docs automatically * add docker setup to workflow * Update NeoXArgs docs automatically * python setup * Update NeoXArgs docs automatically * python setup v2 * Update NeoXArgs docs automatically * python setup v3 * python setup v3 * Update NeoXArgs docs automatically * python setup v3 * Update NeoXArgs docs automatically * python setup v3 * Update NeoXArgs docs automatically * python setup v3 * Update NeoXArgs docs automatically * python setup v3 * python setup v3 * Update NeoXArgs docs automatically * python setup v3 * Update NeoXArgs docs automatically * python setup v3 * Update NeoXArgs docs automatically * python setup v3 * Update NeoXArgs docs automatically * python setup v3 * Update NeoXArgs docs automatically * python setup v3 * Update NeoXArgs docs automatically * python setup v3 * Update NeoXArgs docs automatically * python setup v3 * Update NeoXArgs docs automatically * python setup v3 * Update NeoXArgs docs automatically * python setup v3 * Update NeoXArgs docs automatically * Update NeoXArgs docs automatically * Add hash back to deep speed version * Update NeoXArgs docs automatically --------- Co-authored-by: github-actions Co-authored-by: Quentin Anthony --- .github/workflows/pull_request.yml | 14 ++++++++++++-- configs/neox_arguments.md | 2 +- requirements/requirements.txt | 4 ++-- 3 files changed, 15 insertions(+), 5 deletions(-) diff --git a/.github/workflows/pull_request.yml b/.github/workflows/pull_request.yml index a2b1a2fc2..99f7f988d 100644 --- a/.github/workflows/pull_request.yml +++ b/.github/workflows/pull_request.yml @@ -9,7 +9,7 @@ jobs: - uses: actions/checkout@v2 - uses: actions/setup-python@v4 with: - python-version: 3.10 + python-version: "3.10.14" cache: "pip" cache-dependency-path: "**/requirements*.txt" # Need the right version of clang-format @@ -43,7 +43,17 @@ jobs: runs-on: self-hosted steps: - uses: actions/checkout@v2 + - uses: actions/setup-python@v4 + with: + python-version: "3.10.13" + cache-dependency-path: "**/requirements*.txt" - name: prepare data - run: python prepare_data.py + run: python3 prepare_data.py + - name: install pytest + run: python3 -m pip install pytest pytest-forked pyyaml requests wandb + - name: install torch + run: python3 -m pip install torch + - name: install requirements + run: pip install -r requirements/requirements.txt - name: Run Tests run: pytest --forked tests diff --git a/configs/neox_arguments.md b/configs/neox_arguments.md index c884afd97..1e67685ed 100644 --- a/configs/neox_arguments.md +++ b/configs/neox_arguments.md @@ -111,7 +111,7 @@ Logging Arguments - **git_hash**: str - Default = 714b299 + Default = 455446c current git hash of repository diff --git a/requirements/requirements.txt b/requirements/requirements.txt index 3ac92598a..b5a84674b 100644 --- a/requirements/requirements.txt +++ b/requirements/requirements.txt @@ -1,11 +1,11 @@ deepspeed@git+https://github.com/EleutherAI/DeeperSpeed.git@02e2ebf7dee6aaab3d89094ed470a4609763c742#egg=deepspeed ftfy>=6.0.1 -lm_dataformat@git+https://github.com/EleutherAI/lm_dataformat.git@4eec05349977071bf67fc072290b95e31c8dd836 huggingface_hub>=0.11.0 jinja2==3.1.4 +lm_dataformat@git+https://github.com/EleutherAI/lm_dataformat.git@4eec05349977071bf67fc072290b95e31c8dd836 lm_eval>=0.4.0,<=0.4.1 mpi4py>=3.0.3 -numpy>=1.22.0 +numpy<2.0 pybind11>=2.6.2 regex sentencepiece From 0e5f6db140819d80cd480d54c63cdc1aa5b818e3 Mon Sep 17 00:00:00 2001 From: dmahan93 <44207705+dmahan93@users.noreply.github.com> Date: Tue, 25 Jun 2024 14:30:02 -0500 Subject: [PATCH 98/99] Add a chat data preprocessing script (#1239) * Add a chat data preprocessing script * add EOT at end of a chat * update README.md * apply pre-commit --------- Co-authored-by: Quentin Anthony --- .github/workflows/pull_request.yml | 2 +- megatron/data/helpers.cpp | 12 +- megatron/model/norms.py | 1 + megatron/neox_arguments/arguments.py | 8 +- tools/datasets/README.md | 51 +++ .../preprocess_data_with_chat_template.py | 348 ++++++++++++++++++ 6 files changed, 412 insertions(+), 10 deletions(-) create mode 100644 tools/datasets/preprocess_data_with_chat_template.py diff --git a/.github/workflows/pull_request.yml b/.github/workflows/pull_request.yml index 99f7f988d..53be528ae 100644 --- a/.github/workflows/pull_request.yml +++ b/.github/workflows/pull_request.yml @@ -52,7 +52,7 @@ jobs: - name: install pytest run: python3 -m pip install pytest pytest-forked pyyaml requests wandb - name: install torch - run: python3 -m pip install torch + run: python3 -m pip install torch - name: install requirements run: pip install -r requirements/requirements.txt - name: Run Tests diff --git a/megatron/data/helpers.cpp b/megatron/data/helpers.cpp index 9b062b050..aca290854 100644 --- a/megatron/data/helpers.cpp +++ b/megatron/data/helpers.cpp @@ -428,9 +428,9 @@ py::array build_mapping_impl(const py::array_t& docs_, } } // for (auto sent_index=sent_index_first; ... - } // if (num_remain_sent > 1) { - } // for (int doc=0; doc < num_docs; ++doc) { - } // for (int epoch=0; epoch < num_epochs; ++epoch) { + } // if (num_remain_sent > 1) { + } // for (int doc=0; doc < num_docs; ++doc) { + } // for (int epoch=0; epoch < num_epochs; ++epoch) { if (!second) { if (verbose) { @@ -660,9 +660,9 @@ py::array build_blocks_mapping_impl(const py::array_t& docs_, num_sent = 0; } } // for (auto sent_index=sent_index_first; ... - } // if (num_remain_sent > 1) { - } // for (int doc=0; doc < num_docs; ++doc) { - } // for (int epoch=0; epoch < num_epochs; ++epoch) { + } // if (num_remain_sent > 1) { + } // for (int doc=0; doc < num_docs; ++doc) { + } // for (int epoch=0; epoch < num_epochs; ++epoch) { if (!second) { if (verbose) { diff --git a/megatron/model/norms.py b/megatron/model/norms.py index dda44659f..19e1aeae6 100644 --- a/megatron/model/norms.py +++ b/megatron/model/norms.py @@ -24,6 +24,7 @@ def get_norm(neox_args): eps = neox_args.layernorm_epsilon if neox_args.layernorm_fusion: from .fused_layer_norm import MixedFusedLayerNorm + norm = MixedFusedLayerNorm else: norm = LayerNorm diff --git a/megatron/neox_arguments/arguments.py b/megatron/neox_arguments/arguments.py index 9cad02c43..054689eda 100644 --- a/megatron/neox_arguments/arguments.py +++ b/megatron/neox_arguments/arguments.py @@ -794,7 +794,9 @@ def calculate_batch_parameters( # either none of the three parameters are provided or just gradient_accumulation_step is provided else: - assert False, "Either train_batch_size or train_micro_batch_size_per_gpu needs to be provided" + assert ( + False + ), "Either train_batch_size or train_micro_batch_size_per_gpu needs to be provided" return int(train_batch), int(micro_batch), int(grad_acc) @staticmethod @@ -1098,8 +1100,8 @@ def calculate_derived(self): if "flash" in self.attention_config: _flash_version = packaging.version.Version(version("flash-attn")) if self.sliding_window_width is not None: - assert ( - _flash_version >= packaging.version.Version("2.3.0") + assert _flash_version >= packaging.version.Version( + "2.3.0" ), f"Flash-Attention version ({str(_flash_version)}) must be >= 2.3.0 to support sliding window attention." if self.pos_emb == "alibi": if not _flash_version >= packaging.version.Version("2.4.0.post1"): diff --git a/tools/datasets/README.md b/tools/datasets/README.md index f8215959c..af3009a23 100644 --- a/tools/datasets/README.md +++ b/tools/datasets/README.md @@ -93,6 +93,57 @@ output data: --dataset-impl {lazy,cached,mmap} Dataset implementation to use. Default: mmap +runtime: + --workers WORKERS Number of worker processes to launch + --log-interval LOG_INTERVAL + Interval between progress updates +``` +## `preprocess_data_with_chat_template.py` +Similar, but uses huggingface's [chat templates](https://huggingface.co/docs/transformers/main/en/chat_templating) to +tokenize the data to support multiturn and more complicated use cases. + +N.B. If using this, you **must** specify your data when training/finetuning with the following configs +```json +"train_data_paths": ["train_documents"], +"test_data_paths": ["test_documents"], +"valid_data_paths": ["test_documents"], +"label_data_paths": ["label_documents"] +``` + +the `"data_path"` option will not work with `"label_data_paths"`. + + +``` +usage: preprocess_data_with_chat_template.py [-h] --input INPUT [--jsonl-keys JSONL_KEYS [JSONL_KEYS ...]] [--no-mask] + [--generation-role GENERATION_ROLE] [--only-last] [--num-docs NUM_DOCS] + --tokenizer-path TOKENIZER_PATH [--ftfy] --output-prefix OUTPUT_PREFIX + [--dataset-impl {lazy,cached,mmap}] [--workers WORKERS] + [--log-interval LOG_INTERVAL] + +options: + -h, --help show this help message and exit + +input data: + --input INPUT Path to input jsonl files or lmd archive(s) - if using multiple archives, put them in a comma separated list + --jsonl-keys JSONL_KEYS [JSONL_KEYS ...] + space separate listed of keys to extract from jsonl. Default: text + --no-mask If set, this will not mask any tokens in the input data. + --generation-role GENERATION_ROLE + The role of the model generating the chat, usually 'assistant'. Default: assistant + --only-last If set, this will mask everything except the last turn in the chat. + --num-docs NUM_DOCS Optional: Number of documents in the input data (if known) for an accurate progress bar. + +tokenizer: + --tokenizer-path TOKENIZER_PATH + Path to HF Tokenizer. + --ftfy Use ftfy to clean text + +output data: + --output-prefix OUTPUT_PREFIX + Path to binary output file without suffix + --dataset-impl {lazy,cached,mmap} + Dataset implementation to use. Default: mmap + runtime: --workers WORKERS Number of worker processes to launch --log-interval LOG_INTERVAL diff --git a/tools/datasets/preprocess_data_with_chat_template.py b/tools/datasets/preprocess_data_with_chat_template.py new file mode 100644 index 000000000..81770deff --- /dev/null +++ b/tools/datasets/preprocess_data_with_chat_template.py @@ -0,0 +1,348 @@ +# Copyright (c) 2024, EleutherAI +# This file is based on code by the authors denoted below and has been modified from its original version. +# +# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +A script for processing a dataset such that chat templates are utilized in the creation of the data. +These are then used to perform instruction/chat model finetunes (for example, finetuning a model on only the assistant +portions of a chatml dataset). + +This follows the same output format as 'preprocess_data_with_mask.py' but using chat templates to generate the data. +This way we can support multiturn chat data in the finetuning process. instead of relying on a single turn of data. + +To run this script, first edit `tools/datasets/corpora.py` such that the command to call + `tools/datasets/preprocess_data_with_chat_template.py` is as follows: + +``` +cmd = f"python tools/datasets/preprocess_data_with_with_chat_template.py \ + --input {jsonl_filepath} \ + --output-prefix {parent_folder}/{self.name} \ + --tokenizer-path {hf-tokenizer} \ + --jsonl-keys {jsonl_keys} \ + --dataset-impl mmap \ + --workers {self.num_workers} " + +if self.only_last: + cmd += f"--only-last " + +if self.no_mask: + cmd += f"--no-mask " +``` + +Then, specify +``` +"train_data_paths": ["/path/to/dataset/name_text_document"], +"label_data_paths": ["/path/to/dataset/name_label_document"] +``` +in your YML config. This will then allow for finetuning on the data with loss masks set appropriately. + +""" + +import argparse +import multiprocessing +import os +import sys + +import lm_dataformat as lmd +import numpy as np + +sys.path.append( + os.path.abspath( + os.path.join(os.path.dirname(__file__), os.path.pardir, os.path.pardir) + ) +) + +import time +import tqdm +import jsonlines + +from megatron.data import indexed_dataset +from threading import Semaphore +from typing import List, Dict, Tuple +from transformers import AutoTokenizer, PreTrainedTokenizer + + +def build_chat( + chat: List[Dict[str, str]], + generation_role: str, + apply_mask: bool, + tokenizer: PreTrainedTokenizer, + only_last_turn: bool = False, +) -> Tuple[List[int], List[int]]: + """ + Build a chat from a list of dictionaries. Each dictionary should have a "role" and "content" key, this follows the + Chat Template from https://huggingface.co/docs/transformers/main/en/chat_templating + + :param chat: A list of dictionaries with "role" and "content" keys + :param generation_role: The role of the model generating the chat, usually "assistant" + :param apply_mask: Whether to apply a loss mask to the chat, if False, all tokens will be included in the loss + :param tokenizer: A HF tokenizer + :param only_last_turn: Whether to only include the last turn in the chat, needed for some fine-tuning tasks + """ + tokens = [] + mask = [] + if apply_mask is False: + tokens = tokenizer.apply_chat_template(chat) + mask = tokens + return tokens, mask + for i, turn in enumerate(chat): + add_gen = ( + False if i == len(chat) - 1 else chat[i + 1]["role"] == generation_role + ) + chat_tokens = tokenizer.apply_chat_template( + chat[: i + 1], add_generation_prompt=add_gen + ) + # remove previous stuff... + tokens.extend(chat_tokens) + if only_last_turn and (i != len(chat) - 1): + mask.extend([-100] * len(chat_tokens)) + elif apply_mask and (turn["role"] != generation_role): + mask.extend([-100] * len(chat_tokens)) + else: + mask.extend(chat_tokens) + if tokenizer.eos_token_id is not None: + mask.append(tokenizer.eos_token_id if mask[-1] != -100 else -100) + tokens.append(tokenizer.eos_token_id) + return tokens, mask + + +class Encoder(object): + def __init__(self, args): + self.args = args + + def initializer(self): + # Use Encoder class as a container for global data + Encoder.tokenizer = AutoTokenizer.from_pretrained(self.args.tokenizer_path) + + def encode(self, text): + ids = {} + for key in self.args.jsonl_keys: + text_ids, label_ids = build_chat( + text[key], + self.args.generation_role, + not self.args.no_mask, + Encoder.tokenizer, + self.args.only_last, + ) + ids[key] = (text_ids, label_ids) + return ids, len(text) + + +def get_args(): + parser = argparse.ArgumentParser() + group = parser.add_argument_group(title="input data") + group.add_argument( + "--input", + type=str, + required=True, + help="Path to input jsonl files or lmd archive(s) - if using multiple archives, put them in a comma separated " + "list", + ) + group.add_argument( + "--jsonl-keys", + nargs="+", + default=["conversation"], + help="space separate listed of keys to extract from jsonl. Default: text", + ) + group.add_argument( + "--no-mask", + help="If set, this will not mask any tokens in the input data.", + action="store_true", + ) + group.add_argument( + "--generation-role", + type=str, + default="assistant", + help="The role of the model generating the chat, usually 'assistant'. Default: assistant", + ) + group.add_argument( + "--only-last", + help="If set, this will mask everything except the last turn in the chat.", + action="store_true", + ) + group.add_argument( + "--num-docs", + default=None, + help="Optional: Number of documents in the input data (if known) for an accurate progress bar.", + type=int, + ) + group = parser.add_argument_group(title="tokenizer") + group.add_argument( + "--tokenizer-path", + type=str, + required=True, + help="Path to HF Tokenizer.", + ) + group.add_argument("--ftfy", action="store_true", help="Use ftfy to clean text") + group = parser.add_argument_group(title="output data") + group.add_argument( + "--output-prefix", + type=str, + required=True, + help="Path to binary output file without suffix", + ) + group.add_argument( + "--dataset-impl", + type=str, + default="mmap", + choices=["lazy", "cached", "mmap"], + help="Dataset implementation to use. Default: mmap", + ) + + group = parser.add_argument_group(title="runtime") + group.add_argument( + "--workers", type=int, default=1, help="Number of worker processes to launch" + ) + group.add_argument( + "--log-interval", + type=int, + default=100, + help="Interval between progress updates", + ) + args = parser.parse_args() + args.keep_empty = False + + # some default/dummy values for the tokenizer + args.rank = 0 + args.make_vocab_size_divisible_by = 128 + args.model_parallel_size = 1 + + return args + + +def yield_from_files(fnames: list, semaphore): + """ + Iterator over input documents using lm_dataformat. Should be able to handle jsons / texts / + other compressed formats. Also filters out empty documents. + + :param fnames: list of filenames + """ + + def yielder(fname, semaphore): + with open(fname, encoding="utf-8") as f: + reader = jsonlines.Reader(f) + for f in reader: + semaphore.acquire() + yield f + + for fname in fnames: + semaphore.acquire() + + yield from yielder(fname, semaphore) + + +def main(): + args = get_args() + encoder = Encoder(args) + tokenizer = AutoTokenizer.from_pretrained(args.tokenizer_path) + print(f"Vocab size: {tokenizer.vocab_size}") + print(f"Output prefix: {args.output_prefix}") + + # build a semaphore object to stop `yield_from_files` from getting ahead of encoder.encode and + # hence building up memory + semaphore = Semaphore(10000 + args.workers) + + # use multiprocessing to iterate over input documents + fin = yield_from_files(args.input.split(","), semaphore) + + if args.workers > 1: + pool = multiprocessing.Pool(args.workers, initializer=encoder.initializer) + encoded_docs = pool.imap(encoder.encode, fin, chunksize=25) + else: + encoder.initializer() + encoded_docs = (encoder.encode(doc) for doc in fin) + + # make a dataset builder for each key in args.jsonl_keys + # each key will output to a different file beginning with args.output_prefix + output_bin_files = {} + output_idx_files = {} + builders = {} + for key in args.jsonl_keys: + output_bin_files[key] = "{}_{}_{}.bin".format( + args.output_prefix, key, "document" + ) + output_idx_files[key] = "{}_{}_{}.idx".format( + args.output_prefix, key, "document" + ) + builders[key] = indexed_dataset.make_builder( + output_bin_files[key], + impl=args.dataset_impl, + vocab_size=tokenizer.vocab_size, + ) + builders[key]._dtype = np.int32 + if not args.no_mask: + assert ( + key + "_label" not in args.jsonl_keys + ), "label should not be included as it will be generated according to the mask." + key += "_label" + output_bin_files[key] = "{}_{}_{}.bin".format( + args.output_prefix, key, "document" + ) + output_idx_files[key] = "{}_{}_{}.idx".format( + args.output_prefix, key, "document" + ) + builders[key] = indexed_dataset.make_builder( + output_bin_files[key], + impl=args.dataset_impl, + vocab_size=tokenizer.vocab_size, + ) + builders[key]._dtype = np.int32 + + # actually do tokenization + proc_start = time.time() + total_bytes_processed = 0 + pbar = tqdm.tqdm() + for i, (doc, bytes_processed) in enumerate(encoded_docs, start=1): + total_bytes_processed += bytes_processed + + # release semaphore so `yield_from_files` can add another file to the buffer + semaphore.release() + + # add each tokenized document / sentence + for key, conv in doc.items(): + tokens = conv[0] + token_mask = conv[1] + builders[key].add_item(np.array(tokens, dtype=builders[key].dtype)) + builders[key + "_label"].add_item( + np.array(token_mask, dtype=builders[key + "_label"].dtype) + ) + # add indx... + builders[key].end_document() + builders[key + "_label"].end_document() + if i == 1: + print("key: ", key) + print("tokens: ", tokens) + print("token_mask: ", token_mask) + # log progress + if i % args.log_interval == 0: + current = time.time() + elapsed = current - proc_start + mbs = total_bytes_processed / elapsed / 1024 / 1024 + pbar.set_description( + f"Processed {i}{'' if args.num_docs is None else '/' + str(args.num_docs)} documents ({i / elapsed} docs/s, {mbs} MB/s)." + ) + if i != 0: + pbar.update(args.log_interval) + + # save output file + update_keys = args.jsonl_keys + for key in update_keys: + builders[key].finalize(output_idx_files[key]) + builders[key + "_label"].finalize(output_idx_files[key + "_label"]) + + +if __name__ == "__main__": + main() From 1cee5b7c7074302de4867ad5cac3f1ea26f7a7d7 Mon Sep 17 00:00:00 2001 From: Sebastian Raschka Date: Fri, 28 Jun 2024 11:21:46 -0500 Subject: [PATCH 99/99] Fix paper reference in init_functions.py (#1241) --- megatron/model/init_functions.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/megatron/model/init_functions.py b/megatron/model/init_functions.py index 86a003dbd..8a0b8e251 100644 --- a/megatron/model/init_functions.py +++ b/megatron/model/init_functions.py @@ -145,7 +145,7 @@ def init_(tensor, use_mup=use_mup_outer): def small_init_init_method(dim, use_mup_outer=False, mup_init_scale=1.0): """Fills the input Tensor with values according to the method described in Transformers without Tears: Improving - the Normalization of Self-Attention - Nguyen, T. & Salazar, J. (2010), using a normal distribution.""" + the Normalization of Self-Attention - Nguyen, T. & Salazar, J. (2019), using a normal distribution.""" std = math.sqrt(2 / (5 * dim)) def init_(tensor, use_mup=use_mup_outer):