Thierry Herrmann thierryherrmann
thierryherrmann
/ inspect_ckpt_1.py
Created
August 2, 2020 23:42
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| inspect_checkpoint(model_dir + '/variables/variables', print_values=True, | |
| variables=['model/layer_with_weights-0/bias/.OPTIMIZER_SLOT/opt/m/.ATTRIBUTES/VARIABLE_VALUE']) |
thierryherrmann
/ ckpt_out_2
Created
August 2, 2020 23:42
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| tensor : model/layer_with_weights-0/bias/.OPTIMIZER_SLOT/opt/m/.ATTRIBUTES/VARIABLE_VALUE (30,) | |
| [ 3.51306298e-05 3.61366037e-05 -3.67252505e-06 9.21028666e-04 | |
| 7.78463436e-04 2.24373052e-05 6.05550595e-04 7.36912712e-04 | |
| -4.31884764e-05 1.44443940e-04 1.24389135e-05 8.46692594e-04 | |
| 1.70874955e-05 3.72679904e-04 5.41794288e-05 6.08396949e-04 | |
| 1.95211032e-06 8.75406899e-04 9.23899701e-04 2.17679326e-06 | |
| 8.70055985e-04 6.87883934e-04 5.30559737e-06 5.81342028e-04 | |
| 2.78645912e-05 4.61369600e-05 7.27826264e-04 1.64074972e-05 | |
| -6.21771906e-05 1.15486218e-05] |
thierryherrmann
/ saved_model_cli
Created
August 2, 2020 23:46
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| signature_def['my_serve']: | |
| The given SavedModel SignatureDef contains the following input(s): | |
| inputs['X'] tensor_info: | |
| dtype: DT_FLOAT | |
| shape: (-1, 8) | |
| name: my_serve_X:0 | |
| The given SavedModel SignatureDef contains the following output(s): | |
| outputs['output_0'] tensor_info: | |
| dtype: DT_FLOAT | |
| shape: (-1, 1) |
thierryherrmann
/ save_untrained_and_reload.py
Created
August 2, 2020 23:48
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| # instantiate a new module and save it untrained | |
| module = CustomModule() | |
| save_module(module, model_dir) | |
| del module | |
| print('\n\n========== Reload module ===========') | |
| # the following works also if we reload in another python process | |
| model_dir = 'saved_model' |
thierryherrmann
/ inspect_module.py
Last active
August 2, 2020 23:49
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| print('type of reloaded module:', type(new_module)) | |
| print('type of instantiated module:', type(CustomModule())) | |
| print('my_train function:', new_module.my_train) | |
| print('__call__ function:', new_module.__call__) | |
| # demo a call to the module. (calls the __call__() method) | |
| print('sample prediction: ', new_module(X_train[0:1]).numpy()) |
thierryherrmann
/ inspect_module_out
Created
August 2, 2020 23:50
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| type of reloaded module: <class 'tensorflow.python.saved_model.load.Loader._recreate_base_user_object.<locals>._UserObject'> | |
| type of instantiated module: <class '__main__.CustomModule'> | |
| my_train function: <tensorflow.python.saved_model.function_deserialization.RestoredFunction object at 0x7fc1c5872390> | |
| __call__ function: <tensorflow.python.saved_model.function_deserialization.RestoredFunction object at 0x7fc1c58cbfd0> | |
| sample prediction: [[0.54084957]] |
thierryherrmann
/ train_reloaded.py
Created
August 2, 2020 23:51
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| loss_hist = train_module(new_module, train_dataset, valid_dataset) | |
| plot_loss(loss_hist) | |
| save_module(new_module, model_dir) |
thierryherrmann
/ inspect_ckpt_2.py
Created
August 2, 2020 23:52
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| inspect_checkpoint(model_dir + '/variables/variables', print_values=True, | |
| variables=['model/layer_with_weights-0/bias/.OPTIMIZER_SLOT/opt/m/.ATTRIBUTES/VARIABLE_VALUE']) |
thierryherrmann
/ ckpt_out_3
Created
August 2, 2020 23:53
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| tensor : model/layer_with_weights-0/bias/.OPTIMIZER_SLOT/opt/m/.ATTRIBUTES/VARIABLE_VALUE (30,) | |
| [ 1.3162548e-04 -1.0862495e-03 8.3323405e-04 8.4080239e-06 | |
| -1.6426330e-04 -9.0881845e-04 4.7971989e-04 -6.0352772e-06 | |
| -9.3550794e-04 -3.1544755e-03 5.4244534e-04 1.0909925e-03 | |
| 1.3340317e-03 -1.0700974e-03 3.7469756e-04 -1.5879219e-03 | |
| -2.1641832e-03 -1.7716389e-03 2.8458738e-04 -6.3899945e-04 | |
| -2.9655998e-03 -1.7114554e-03 -3.9885961e-03 2.6567639e-05 | |
| -3.6036890e-05 6.1224034e-04 -1.0181948e-03 1.6523007e-04 | |
| -4.8340447e-03 1.5539475e-03] |
thierryherrmann
/ reload_continue_train.py
Created
August 2, 2020 23:54
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| del new_module | |
| new_module_2 = tf.keras.models.load_model(model_dir) | |
| loss_hist = train_module(new_module_2, train_dataset, valid_dataset) | |
| plot_loss(loss_hist) | |
| save_module(new_module_2, model_dir) |