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Running on Python 2.7 #1
Comments
Hi! Regarding
|
Understood about tensorflow version.
I made the required changes and ran the script. Any ideas about this error?
===== Evaluate embeddings though SVM =====
Traceback (most recent call last):
File "results_validation/visualize_distribution.py", line 34, in <module>
notes = [get_notes_from_filepath(path) for path in handled_pathes]
File "results_validation/visualize_distribution.py", line 28, in get_notes_from_filepath
log_name = [l for l in all_logs if l.startswith(idx + '_')][0]
IndexError: list index out of range
btw - tflearn should probably be added to requirments.txt
… On Jun 28, 2017, at 1:33 AM, Illarion ***@***.***> wrote:
Hi!
Yes, unfortunately code was created with python 3.4+ and tensorflow 0.10.
First 5 issues points to tensorflow version, not python - at tensorflow 1.0 a lot of API were changed. I've not updated the code, because of not a lot of users. You may send a pull request if you want. Default tensorflow version mentioned in requirements.txt file.
Regarding os.makedirs(dir_name, exist_ok=True) - yes, such api was provided at Python 3 only. It can be replaced with few lines, as:
if not os.path.exists(dir_name):
os.makedirs(dir_name)
—
You are receiving this because you authored the thread.
Reply to this email directly, view it on GitHub <#1 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AC9i27FwQiM_RpA_ZjEE7naJT3z6Zy41ks5sIg_MgaJpZM4OHGnt>.
|
Does this look wrong?
…
0 [07:08<00:00, 20.63it/s]
rbm: train_layers_by_pairs__last_layer_binarized
Hamming: accuracy - 0, time consumption 141.291084051 seconds
Dot product: accuracy - 0, time consumption 0 seconds
...
autoencoder: new_initialized_model__without_Gaussian_noise
Hamming: accuracy - 0, time consumption 132.102096081 seconds
Dot product: accuracy - 0, time consumption 0 seconds
Results were saved to /tmp/find_similar_accuracy_results.csv
… On Jun 28, 2017, at 11:40 AM, David Laxer ***@***.***> wrote:
Understood about tensorflow version.
I made the required changes and ran the script. Any ideas about this error?
===== Evaluate embeddings though SVM =====
Traceback (most recent call last):
File "results_validation/visualize_distribution.py", line 34, in <module>
notes = [get_notes_from_filepath(path) for path in handled_pathes]
File "results_validation/visualize_distribution.py", line 28, in get_notes_from_filepath
log_name = [l for l in all_logs if l.startswith(idx + '_')][0]
IndexError: list index out of range
btw - tflearn should probably be added to requirments.txt
> On Jun 28, 2017, at 1:33 AM, Illarion ***@***.*** ***@***.***>> wrote:
>
> Hi!
> Yes, unfortunately code was created with python 3.4+ and tensorflow 0.10.
> First 5 issues points to tensorflow version, not python - at tensorflow 1.0 a lot of API were changed. I've not updated the code, because of not a lot of users. You may send a pull request if you want. Default tensorflow version mentioned in requirements.txt file.
>
> Regarding os.makedirs(dir_name, exist_ok=True) - yes, such api was provided at Python 3 only. It can be replaced with few lines, as:
>
> if not os.path.exists(dir_name):
> os.makedirs(dir_name)
> —
> You are receiving this because you authored the thread.
> Reply to this email directly, view it on GitHub <#1 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AC9i27FwQiM_RpA_ZjEE7naJT3z6Zy41ks5sIg_MgaJpZM4OHGnt>.
>
|
Yes, this is incorrect results. |
Here’s the full output.
Does anything else look wrong?
David-Laxers-MacBook-Pro:rbm_based_autoencoders_with_tensorflow davidlaxer$ ./run_all.sh
===== Train RBM =====
Train model by pair layers
Only last layer is binarized
Extracting /tmp/MNIST_data/train-images-idx3-ubyte.gz
Extracting /tmp/MNIST_data/train-labels-idx1-ubyte.gz
Extracting /tmp/MNIST_data/t10k-images-idx3-ubyte.gz
Extracting /tmp/MNIST_data/t10k-labels-idx1-ubyte.gz
Train layers pair 0 and 1 for 2 epochs
Training model no: 0
Initialize new variables
WARNING:tensorflow:From /Users/davidlaxer/anaconda/lib/python2.7/site-packages/tensorflow/python/util/tf_should_use.py:170: initialize_all_variables (from tensorflow.python.ops.variables) is deprecated and will be removed after 2017-03-02.
Instructions for updating:
Use `tf.global_variables_initializer` instead.
Epoch: 0, time consumption: 0:00:34.575373
Epoch: 1, time consumption: 0:00:33.535722
Train layers pair 1 and 2 for 2 epochs
Training model no: 0
Restore variables from previous run:
bias_0
bias_1
W_0_1
Initialize not restored variables:
W_1_2:0
bias_2:0
WARNING:tensorflow:From /Users/davidlaxer/anaconda/lib/python2.7/site-packages/tensorflow/python/util/tf_should_use.py:170: initialize_variables (from tensorflow.python.ops.variables) is deprecated and will be removed after 2017-03-02.
Instructions for updating:
Use `tf.variables_initializer` instead.
Epoch: 0, time consumption: 0:00:22.907593
Epoch: 1, time consumption: 0:00:22.378566
Train layers pair 2 and 3 for 2 epochs
Training model no: 0
Restore variables from previous run:
bias_0
bias_1
bias_2
W_0_1
W_1_2
Initialize not restored variables:
W_2_3:0
bias_3:0
WARNING:tensorflow:From /Users/davidlaxer/anaconda/lib/python2.7/site-packages/tensorflow/python/util/tf_should_use.py:170: initialize_variables (from tensorflow.python.ops.variables) is deprecated and will be removed after 2017-03-02.
Instructions for updating:
Use `tf.variables_initializer` instead.
Epoch: 0, time consumption: 0:00:19.697597
Epoch: 1, time consumption: 0:00:20.018516
Get embeddings for test set
Get embeddings for train set
===== Train AutoEncoder initialized from RBM =====
Extracting /tmp/MNIST_data/train-images-idx3-ubyte.gz
Extracting /tmp/MNIST_data/train-labels-idx1-ubyte.gz
Extracting /tmp/MNIST_data/t10k-images-idx3-ubyte.gz
Extracting /tmp/MNIST_data/t10k-labels-idx1-ubyte.gz
Such variables were created:
W_0_1:0: (784, 484)
bias_1:0: (484,)
W_1_2:0: (484, 196)
bias_2:0: (196,)
W_2_3:0: (196, 100)
bias_3:0: (100,)
W_3_4:0: (196, 100)
bias_4:0: (196,)
W_4_5:0: (484, 196)
bias_5:0: (484,)
W_5_6:0: (784, 484)
bias_6:0: (784,)
Training model no: 0
!!!RBM model save file .ckpt with run_no: 0 not exists!!!
===== Train AutoEncoder initialized with new variables =====
Extracting /tmp/MNIST_data/train-images-idx3-ubyte.gz
Extracting /tmp/MNIST_data/train-labels-idx1-ubyte.gz
Extracting /tmp/MNIST_data/t10k-images-idx3-ubyte.gz
Extracting /tmp/MNIST_data/t10k-labels-idx1-ubyte.gz
Such variables were created:
W_0_1:0: (784, 484)
bias_1:0: (484,)
W_1_2:0: (484, 196)
bias_2:0: (196,)
W_2_3:0: (196, 100)
bias_3:0: (100,)
W_3_4:0: (196, 100)
bias_4:0: (196,)
W_4_5:0: (484, 196)
bias_5:0: (484,)
W_5_6:0: (784, 484)
bias_6:0: (784,)
Training model no: 0
WARNING:tensorflow:From /Users/davidlaxer/anaconda/lib/python2.7/site-packages/tensorflow/python/util/tf_should_use.py:170: initialize_all_variables (from tensorflow.python.ops.variables) is deprecated and will be removed after 2017-03-02.
Instructions for updating:
Use `tf.global_variables_initializer` instead.
Epoch: 0, time consumption: 0:00:38.965459
Epoch: 1, time consumption: 0:00:39.121245
Epoch: 2, time consumption: 0:00:40.023313
Epoch: 3, time consumption: 0:00:39.448177
Epoch: 4, time consumption: 0:00:38.664667
Epoch: 5, time consumption: 0:00:39.490704
Such variables were created:
W_0_1:0: (784, 484)
bias_1:0: (484,)
W_1_2:0: (484, 196)
bias_2:0: (196,)
W_2_3:0: (196, 100)
bias_3:0: (100,)
W_3_4:0: (196, 100)
bias_4:0: (196,)
W_4_5:0: (484, 196)
bias_5:0: (484,)
W_5_6:0: (784, 484)
bias_6:0: (784,)
Get embeddings for test set
Get embeddings for train set
===== Train AutoEncoder initialized from RBM without Gaussian noise=====
Extracting /tmp/MNIST_data/train-images-idx3-ubyte.gz
Extracting /tmp/MNIST_data/train-labels-idx1-ubyte.gz
Extracting /tmp/MNIST_data/t10k-images-idx3-ubyte.gz
Extracting /tmp/MNIST_data/t10k-labels-idx1-ubyte.gz
Such variables were created:
W_0_1:0: (784, 484)
bias_1:0: (484,)
W_1_2:0: (484, 196)
bias_2:0: (196,)
W_2_3:0: (196, 100)
bias_3:0: (100,)
W_3_4:0: (196, 100)
bias_4:0: (196,)
W_4_5:0: (484, 196)
bias_5:0: (484,)
W_5_6:0: (784, 484)
bias_6:0: (784,)
Training model no: 1
!!!RBM model save file .ckpt with run_no: 0 not exists!!!
===== Train AutoEncoder initialized with new variables without Gaussian noise =====
Extracting /tmp/MNIST_data/train-images-idx3-ubyte.gz
Extracting /tmp/MNIST_data/train-labels-idx1-ubyte.gz
Extracting /tmp/MNIST_data/t10k-images-idx3-ubyte.gz
Extracting /tmp/MNIST_data/t10k-labels-idx1-ubyte.gz
Such variables were created:
W_0_1:0: (784, 484)
bias_1:0: (484,)
W_1_2:0: (484, 196)
bias_2:0: (196,)
W_2_3:0: (196, 100)
bias_3:0: (100,)
W_3_4:0: (196, 100)
bias_4:0: (196,)
W_4_5:0: (484, 196)
bias_5:0: (484,)
W_5_6:0: (784, 484)
bias_6:0: (784,)
Training model no: 1
WARNING:tensorflow:From /Users/davidlaxer/anaconda/lib/python2.7/site-packages/tensorflow/python/util/tf_should_use.py:170: initialize_all_variables (from tensorflow.python.ops.variables) is deprecated and will be removed after 2017-03-02.
Instructions for updating:
Use `tf.global_variables_initializer` instead.
Epoch: 0, time consumption: 0:00:39.791340
Epoch: 1, time consumption: 0:00:41.863832
Epoch: 2, time consumption: 0:00:39.197791
Epoch: 3, time consumption: 0:00:38.405157
Epoch: 4, time consumption: 0:00:38.756205
Epoch: 5, time consumption: 0:00:39.403081
Such variables were created:
W_0_1:0: (784, 484)
bias_1:0: (484,)
W_1_2:0: (484, 196)
bias_2:0: (196,)
W_2_3:0: (196, 100)
bias_3:0: (100,)
W_3_4:0: (196, 100)
bias_4:0: (196,)
W_4_5:0: (484, 196)
bias_5:0: (484,)
W_5_6:0: (784, 484)
bias_6:0: (784,)
Get embeddings for test set
Get embeddings for train set
===== Display embeddings distribution from autoencoders(as background process) =====
===== Evaluate embeddings though SVM =====
Traceback (most recent call last):
File "results_validation/visualize_distribution.py", line 34, in <module>
notes = [get_notes_from_filepath(path) for path in handled_pathes]
File "results_validation/visualize_distribution.py", line 28, in get_notes_from_filepath
log_name = [l for l in all_logs if l.startswith(idx + '_')][0]
IndexError: list index out of range
Extracting /tmp/MNIST_data/train-images-idx3-ubyte.gz
Extracting /tmp/MNIST_data/train-labels-idx1-ubyte.gz
Extracting /tmp/MNIST_data/t10k-images-idx3-ubyte.gz
Extracting /tmp/MNIST_data/t10k-labels-idx1-ubyte.gz
Time cons: 206.56s, type: default mnist dataset
Accuracy: 0.44660
precision recall f1-score support
0 0.96 0.69 0.81 980
1 0.62 0.01 0.03 1135
2 0.73 0.30 0.42 1032
3 0.78 0.30 0.43 1010
4 0.78 0.41 0.54 982
5 0.50 0.38 0.43 892
6 0.76 0.75 0.76 958
7 0.74 0.33 0.45 1028
8 0.39 0.47 0.42 974
9 0.19 0.91 0.32 1009
avg / total 0.65 0.45 0.45 10000
…----------
Time cons: 41.23s, type: rbm: train_layers_by_pairs__last_layer_binarized
Accuracy: 0.42620
precision recall f1-score support
0 0.08 0.06 0.07 980
1 0.72 0.47 0.57 1135
2 0.46 0.40 0.42 1032
3 0.41 0.38 0.40 1010
4 0.40 0.31 0.35 982
5 0.28 0.32 0.30 892
6 0.59 0.85 0.70 958
7 0.72 0.63 0.67 1028
8 0.33 0.33 0.33 974
9 0.30 0.50 0.38 1009
avg / total 0.43 0.43 0.42 10000
----------
Time cons: 42.56s, type: autoencoder: new_initialized_model__with_Gaussian_noise
Accuracy: 0.09780
precision recall f1-score support
0 0.10 0.15 0.12 980
1 0.11 0.13 0.12 1135
2 0.10 0.10 0.10 1032
3 0.10 0.08 0.09 1010
4 0.08 0.05 0.06 982
5 0.08 0.09 0.08 892
6 0.12 0.08 0.10 958
7 0.09 0.08 0.08 1028
8 0.11 0.10 0.10 974
9 0.09 0.11 0.10 1009
avg / total 0.10 0.10 0.10 10000
----------
Time cons: 45.38s, type: autoencoder: new_initialized_model__without_Gaussian_noise
Accuracy: 0.08760
precision recall f1-score support
0 0.00 0.00 0.00 980
1 0.01 0.00 0.01 1135
2 0.00 0.00 0.00 1032
3 0.00 0.00 0.00 1010
4 0.00 0.00 0.00 982
5 0.06 0.29 0.10 892
6 0.03 0.01 0.01 958
7 0.00 0.00 0.00 1028
8 0.12 0.62 0.21 974
9 0.00 0.00 0.00 1009
avg / total 0.02 0.09 0.03 10000
----------
Results were saved to /tmp/svm_clusterizationn_test_results.csv
===== Evaluate embeddings though most similar accuracy
Extracting /tmp/MNIST_data/train-images-idx3-ubyte.gz
Extracting /tmp/MNIST_data/train-labels-idx1-ubyte.gz
Extracting /tmp/MNIST_data/t10k-images-idx3-ubyte.gz
Extracting /tmp/MNIST_data/t10k-labels-idx1-ubyte.gz
hamming_dist/default mnist dataset: 100%|█| 10000/10000 [16:57<00:00, 15.02it/s]
dot_product/default mnist dataset: 100%|█| 10000/10000 [1:08:26<00:00, 5.00it/s]
default mnist dataset
Hamming: accuracy - 0, time consumption 1017.47319913 seconds
Dot product: accuracy - 0, time consumption 0 seconds
hamming_dist/rbm: train_layers_by_pairs__last_layer_binarized: 0%| | 0/10000 [hamming_dist/rbm: train_layers_by_pairs__last_layer_binarized: 0%| | 10/10000 hamming_dist/rbm: train_layers_by_pairs__last_layer_binarized: 0%| | 19/10000 hamming_dist/rbm: train_layers_by_pairs__last_layer_binarized: 0%| | 30/10000 hamming_dist/rbm: train_layers_by_pairs__last_layer_binarized: 0%| | 42/10000 hamming_dist/rbm: train_layers_by_pairs__last_layer_binarized: 0%| | 50/10000 hamming_dist/rbm: train_layers_by_pairs__last_layer_binarized: 1%| | 58/10000 hamming_dist/rbm: train_layers_by_pairs__last_layer_binarized: 1%| | 65/10000 hamming_dist/rbm: train_layers_by_pairs__last_layer_binarized: 1%| | 72/10000 hamming_dist/rbm: train_layers_by_pairs__last_layer_binarized: 1%| | 79/10000 hamming_dist/rbm: train_layers_by_pairs__last_layer_binarized: 1%| | 86/10000 hamming_dist/rbm: train_layers_by_pairs__last_layer_binarized: 1%| | 92/10000 hamming_dist/rbm: train_layers_by_pairs__last_layer_binarized: 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It seems that first RBM training pass. After autoencoders try to initialize from saved RBM, but tensorflow have another API/names for saves and two training of the autoencoders are failed. |
And after all there are some troubles with names of stored tensor/variables |
So, this error means the RBM training phase didn’t save the model properly?
…> !!!RBM model save file .ckpt with run_no: 0 not exists!!!
On Jun 28, 2017, at 1:01 PM, Illarion ***@***.***> wrote:
And after all there are some troubles with names of stored tensor/variables
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No, this means that RBM was trained/saved as expected. Now it saved as |
Is this the issue you alluded to with the contents/format of the checkpoint file?
tensorflow/tensorflow#3967
… On Jun 28, 2017, at 1:24 PM, Illarion ***@***.***> wrote:
No, this means that RBM was trained/saved as expected. Now it saved as model.ckpt.index file. So you can just add 'index' at the end of this line.
But later this lines in the autoencoder will fail, because tensorflow change once again naming convetions for saved layers inside checkpoint.
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And this one ...
https://github.com/tensorflow/tensorflow/blob/e0344f1e7ceff9c192369000d244c4ca47d7a1cc/tensorflow/python/tools/inspect_checkpoint.py
… On Jun 28, 2017, at 1:24 PM, Illarion ***@***.***> wrote:
No, this means that RBM was trained/saved as expected. Now it saved as model.ckpt.index file. So you can just add 'index' at the end of this line.
But later this lines in the autoencoder will fail, because tensorflow change once again naming convetions for saved layers inside checkpoint.
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Yes, the second link may help in the debugging |
I installed a python 3.4 virtual environment, installed tdqm, installed tensorflow 1.1.0 notes,accuracy,prec,f_score,recall autoencoder: new_initialized_model__without_Gaussian_noise Results were saved to /tmp/find_similar_accuracy_results.csv |
No, at least you should not have negative loss |
I am trying to run this code on Python 2.7. Is this a big mistake?
Here's some issues I encountered:
https://stackoverflow.com/questions/41066244/tensorflow-module-object-has-no-attribute-scalar-summary
How should I deal with os.makedirs(settings.STATIC_ROOT, exist_ok=True) in Python 2.7?
try:
os.makedirs(settings.STATIC_ROOT)
except OSError as e:
if e.errno != errno.EEXIST:
raise
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