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53 changes: 53 additions & 0 deletions
53
...pc/configs/ch_PP-OCRv2_rec_PACT/train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,53 @@ | ||
| ===========================train_params=========================== | ||
| model_name:ch_PPOCRv2_rec_PACT | ||
| python:python3.7 | ||
| gpu_list:0|0,1 | ||
| Global.use_gpu:True|True | ||
| Global.auto_cast:amp | ||
| Global.epoch_num:lite_train_lite_infer=3|whole_train_whole_infer=300 | ||
| Global.save_model_dir:./output/ | ||
| Train.loader.batch_size_per_card:lite_train_lite_infer=16|whole_train_whole_infer=128 | ||
| Global.pretrained_model:null | ||
| train_model_name:latest | ||
| train_infer_img_dir:./inference/rec_inference | ||
| null:null | ||
| ## | ||
| trainer:pact_train | ||
| norm_train:null | ||
| pact_train:deploy/slim/quantization/quant.py -c test_tipc/configs/ch_PP-OCRv2_rec/ch_PP-OCRv2_rec_distillation.yml -o | ||
| fpgm_train:null | ||
| distill_train:null | ||
| null:null | ||
| null:null | ||
| ## | ||
| ===========================eval_params=========================== | ||
| eval:null | ||
| null:null | ||
| ## | ||
| ===========================infer_params=========================== | ||
| Global.save_inference_dir:./output/ | ||
| Global.checkpoints: | ||
| norm_export:null | ||
| quant_export:deploy/slim/quantization/export_model.py -c test_tipc/configs/ch_PP-OCRv2_rec/ch_PP-OCRv2_rec_distillation.yml -o | ||
| fpgm_export: null | ||
| distill_export:null | ||
| export1:null | ||
| export2:null | ||
| inference_dir:Student | ||
| infer_model:./inference/ch_PP-OCRv2_rec_slim_quant_infer | ||
| infer_export:null | ||
| infer_quant:True | ||
| inference:tools/infer/predict_rec.py | ||
| --use_gpu:True|False | ||
| --enable_mkldnn:True|False | ||
| --cpu_threads:1|6 | ||
| --rec_batch_num:1|6 | ||
| --use_tensorrt:False|True | ||
| --precision:fp32|int8 | ||
| --rec_model_dir: | ||
| --image_dir:./inference/rec_inference | ||
| null:null | ||
| --benchmark:True | ||
| null:null | ||
| ===========================infer_benchmark_params========================== | ||
| random_infer_input:[{float32,[3,32,320]}] |
2 changes: 1 addition & 1 deletion
2
...bile_V2.0_det_FPGM/train_infer_python.txt → ...bile_v2.0_det_FPGM/train_infer_python.txt
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53 changes: 53 additions & 0 deletions
53
...s/ch_ppocr_mobile_v2.0_det_FPGM/train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,53 @@ | ||
| ===========================train_params=========================== | ||
| model_name:ch_ppocr_mobile_v2.0_det_FPGM | ||
| python:python3.7 | ||
| gpu_list:0|0,1 | ||
| Global.use_gpu:True|True | ||
| Global.auto_cast:amp | ||
| Global.epoch_num:lite_train_lite_infer=5|whole_train_whole_infer=300 | ||
| Global.save_model_dir:./output/ | ||
| Train.loader.batch_size_per_card:lite_train_lite_infer=2|whole_train_whole_infer=4 | ||
| Global.pretrained_model:null | ||
| train_model_name:latest | ||
| train_infer_img_dir:./train_data/icdar2015/text_localization/ch4_test_images/ | ||
| null:null | ||
| ## | ||
| trainer:fpgm_train | ||
| norm_train:null | ||
| pact_train:null | ||
| fpgm_train:deploy/slim/prune/sensitivity_anal.py -c configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml -o Global.pretrained_model=./pretrain_models/det_mv3_db_v2.0_train/best_accuracy | ||
| distill_train:null | ||
| null:null | ||
| null:null | ||
| ## | ||
| ===========================eval_params=========================== | ||
| eval:null | ||
| null:null | ||
| ## | ||
| ===========================infer_params=========================== | ||
| Global.save_inference_dir:./output/ | ||
| Global.checkpoints: | ||
| norm_export:null | ||
| quant_export:null | ||
| fpgm_export:deploy/slim/prune/export_prune_model.py -c configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml -o | ||
| distill_export:null | ||
| export1:null | ||
| export2:null | ||
| inference_dir:null | ||
| train_model:null | ||
| infer_export:null | ||
| infer_quant:False | ||
| inference:tools/infer/predict_det.py | ||
| --use_gpu:True|False | ||
| --enable_mkldnn:True|False | ||
| --cpu_threads:1|6 | ||
| --rec_batch_num:1 | ||
| --use_tensorrt:False|True | ||
| --precision:fp32|fp16|int8 | ||
| --det_model_dir: | ||
| --image_dir:./inference/ch_det_data_50/all-sum-510/ | ||
| null:null | ||
| --benchmark:True | ||
| null:null | ||
| ===========================infer_benchmark_params========================== | ||
| random_infer_input:[{float32,[3,640,640]}];[{float32,[3,960,960]}] |
53 changes: 53 additions & 0 deletions
53
...s/ch_ppocr_mobile_v2.0_det_PACT/train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,53 @@ | ||
| ===========================train_params=========================== | ||
| model_name:ch_ppocr_mobile_v2.0_det_PACT | ||
| python:python3.7 | ||
| gpu_list:0|0,1 | ||
| Global.use_gpu:True|True | ||
| Global.auto_cast:amp | ||
| Global.epoch_num:lite_train_lite_infer=20|whole_train_whole_infer=300 | ||
| Global.save_model_dir:./output/ | ||
| Train.loader.batch_size_per_card:lite_train_lite_infer=2|whole_train_whole_infer=4 | ||
| Global.pretrained_model:null | ||
| train_model_name:latest | ||
| train_infer_img_dir:./train_data/icdar2015/text_localization/ch4_test_images/ | ||
| null:null | ||
| ## | ||
| trainer:pact_train | ||
| norm_train:null | ||
| pact_train:deploy/slim/quantization/quant.py -c configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml -o | ||
| fpgm_train:null | ||
| distill_train:null | ||
| null:null | ||
| null:null | ||
| ## | ||
| ===========================eval_params=========================== | ||
| eval:null | ||
| null:null | ||
| ## | ||
| ===========================infer_params=========================== | ||
| Global.save_inference_dir:./output/ | ||
| Global.checkpoints: | ||
| norm_export:null | ||
| quant_export:deploy/slim/quantization/export_model.py -c configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml -o | ||
| fpgm_export:null | ||
| distill_export:null | ||
| export1:null | ||
| export2:null | ||
| inference_dir:null | ||
| train_model:./inference/ch_ppocr_mobile_v2.0_det_prune_infer/ | ||
| infer_export:null | ||
| infer_quant:False | ||
| inference:tools/infer/predict_det.py | ||
| --use_gpu:True|False | ||
| --enable_mkldnn:True|False | ||
| --cpu_threads:1|6 | ||
| --rec_batch_num:1 | ||
| --use_tensorrt:False|True | ||
| --precision:fp32|fp16|int8 | ||
| --det_model_dir: | ||
| --image_dir:./inference/ch_det_data_50/all-sum-510/ | ||
| null:null | ||
| --benchmark:True | ||
| null:null | ||
| ===========================infer_benchmark_params========================== | ||
| random_infer_input:[{float32,[3,640,640]}];[{float32,[3,960,960]}] |
53 changes: 53 additions & 0 deletions
53
...s/ch_ppocr_mobile_v2.0_rec_PACT/train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,53 @@ | ||
| ===========================train_params=========================== | ||
| model_name:ch_ppocr_mobile_v2.0_rec_PACT | ||
| python:python3.7 | ||
| gpu_list:0 | ||
| Global.use_gpu:True|True | ||
| Global.auto_cast:amp | ||
| Global.epoch_num:lite_train_lite_infer=1|whole_train_whole_infer=300 | ||
| Global.save_model_dir:./output/ | ||
| Train.loader.batch_size_per_card:lite_train_lite_infer=128|whole_train_whole_infer=128 | ||
| Global.checkpoints:null | ||
| train_model_name:latest | ||
| train_infer_img_dir:./train_data/ic15_data/test/word_1.png | ||
| null:null | ||
| ## | ||
| trainer:pact_train | ||
| norm_train:null | ||
| pact_train:deploy/slim/quantization/quant.py -c test_tipc/configs/ch_ppocr_mobile_v2.0_rec_PACT/rec_chinese_lite_train_v2.0.yml -o | ||
| fpgm_train:null | ||
| distill_train:null | ||
| null:null | ||
| null:null | ||
| ## | ||
| ===========================eval_params=========================== | ||
| eval:null | ||
| null:null | ||
| ## | ||
| ===========================infer_params=========================== | ||
| Global.save_inference_dir:./output/ | ||
| Global.checkpoints: | ||
| norm_export:null | ||
| quant_export:deploy/slim/quantization/export_model.py -c test_tipc/configs/ch_ppocr_mobile_v2.0_rec_PACT/rec_chinese_lite_train_v2.0.yml -o | ||
| fpgm_export:null | ||
| distill_export:null | ||
| export1:null | ||
| export2:null | ||
| inference_dir:null | ||
| infer_model:./inference/ch_ppocr_mobile_v2.0_rec_slim_infer/ | ||
| infer_export:null | ||
| infer_quant:False | ||
| inference:tools/infer/predict_rec.py --rec_char_dict_path=./ppocr/utils/ppocr_keys_v1.txt --rec_image_shape="3,32,100" | ||
| --use_gpu:True|False | ||
| --enable_mkldnn:True|False | ||
| --cpu_threads:1|6 | ||
| --rec_batch_num:1|6 | ||
| --use_tensorrt:False|True | ||
| --precision:fp32|int8 | ||
| --rec_model_dir: | ||
| --image_dir:./inference/rec_inference | ||
| --save_log_path:./test/output/ | ||
| --benchmark:True | ||
| null:null | ||
| ===========================infer_benchmark_params========================== | ||
| random_infer_input:[{float32,[3,32,320]}] |