| /external/tensorflow/tensorflow/python/keras/saving/ |
| D | hdf5_format_test.py | 77 model.save_weights(no_extension_path, save_format='tf')
86 model.save_weights(h5_path)
95 model.save_weights(no_extension_path, save_format='hdf5')
249 model.save_weights(h5_path)
780 model.save_weights(prefix)
797 model.save_weights(prefix, save_format='tensorflow')
798 model.save_weights(prefix, save_format='tensorflow', overwrite=True)
801 model.save_weights(prefix, save_format='tensorflow', overwrite=False)
819 model.save_weights(fname)
833 model.save_weights(prefix, save_format='tensorflow')
[all …]
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| D | saved_model.py | 141 model.save_weights(checkpoint_prefix, save_format='tf', overwrite=True)
291 clone.save_weights(checkpoint_path, save_format='tf', overwrite=True)
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| /external/tensorflow/tensorflow/python/training/tracking/ |
| D | data_structures_test.py | 98 model.save_weights(save_path)
443 model.save_weights(save_path)
503 model.save_weights(save_path)
513 model.save_weights(save_path)
525 model.save_weights(save_path)
546 model.save_weights(save_path)
556 model.save_weights(save_path)
565 model.save_weights(save_path)
574 model.save_weights(save_path)
583 model.save_weights(save_path)
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| /external/tensorflow/tensorflow/contrib/distribute/python/ |
| D | keras_utils_test.py | 504 model.save_weights(weights_file)
528 model.save_weights(weights_file)
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| /external/tensorflow/tensorflow/python/keras/ |
| D | model_subclassing_test.py | 400 model.save_weights(tf_format_name)
403 model.save_weights(hdf5_format_name)
819 model.save_weights(tf_format_name)
822 model.save_weights(hdf5_format_name)
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| D | callbacks.py | 881 self.model.save_weights(filepath, overwrite=True)
892 self.model.save_weights(filepath, overwrite=True)
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| D | models_test.py | 301 model.save_weights(save_prefix)
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.keras.models.-model.pbtxt | 261 name: "save_weights"
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| D | tensorflow.keras.-model.pbtxt | 261 name: "save_weights"
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| D | tensorflow.keras.-sequential.pbtxt | 278 name: "save_weights"
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| D | tensorflow.keras.layers.-linear-model.pbtxt | 266 name: "save_weights"
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| D | tensorflow.keras.models.-sequential.pbtxt | 278 name: "save_weights"
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.keras.models.-model.pbtxt | 261 name: "save_weights"
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| D | tensorflow.keras.-model.pbtxt | 261 name: "save_weights"
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| D | tensorflow.keras.-sequential.pbtxt | 278 name: "save_weights"
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| D | tensorflow.keras.models.-sequential.pbtxt | 278 name: "save_weights"
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| /external/tensorflow/tensorflow/python/keras/layers/ |
| D | cudnn_recurrent_test.py | 341 source_model.save_weights(fname)
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| D | gru_v2_test.py | 212 model.save_weights(h5_path)
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| D | lstm_v2_test.py | 502 model.save_weights(h5_path)
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| /external/tensorflow/tensorflow/python/keras/engine/ |
| D | training.py | 2715 def save_weights(self, filepath, overwrite=True, save_format=None): member in DistributedCallbackModel
2716 self._replicated_model.save_weights(filepath, overwrite=overwrite,
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| D | network.py | 1321 def save_weights(self, filepath, overwrite=True, save_format=None): member in Network
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| /external/tensorflow/tensorflow/contrib/eager/python/examples/workshop/ |
| D | 3_inspecting.ipynb | 240 …ragile, so for new code we recommend the object-based `tf.keras.Model.save_weights` or `tf.train.C…
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| /external/tensorflow/tensorflow/contrib/tpu/python/tpu/ |
| D | keras_support.py | 2128 def save_weights(self, *args, **kw): member in KerasTPUModel
2129 return self.sync_to_cpu().save_weights(*args, **kw)
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| /external/tensorflow/ |
| D | RELEASE.md | 427 * `tf.keras.Model.save_weights` now saves in TensorFlow format by default.
|