/external/tensorflow/tensorflow/python/keras/benchmarks/keras_examples_benchmarks/ |
D | mnist_irnn_benchmark_test.py | 72 optimizer=tf.keras.optimizers.RMSprop(learning_rate=self.learning_rate), 88 optimizer=tf.keras.optimizers.RMSprop(learning_rate=self.learning_rate), 104 optimizer=tf.keras.optimizers.RMSprop(learning_rate=self.learning_rate), 125 optimizer=tf.keras.optimizers.RMSprop(learning_rate=self.learning_rate),
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D | cifar10_cnn_benchmark_test.py | 81 optimizer=tf.keras.optimizers.RMSprop(learning_rate=0.0001, decay=1e-6), 98 optimizer=tf.keras.optimizers.RMSprop(learning_rate=0.0001, decay=1e-6), 115 optimizer=tf.keras.optimizers.RMSprop(learning_rate=0.0001, decay=1e-6), 137 optimizer=tf.keras.optimizers.RMSprop(learning_rate=0.0001, decay=1e-6),
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/external/tensorflow/tensorflow/python/keras/optimizer_v2/ |
D | rmsprop.py | 35 class RMSprop(optimizer_v2.OptimizerV2): class 138 super(RMSprop, self).__init__(name, **kwargs) 164 super(RMSprop, self)._prepare_local(var_device, var_dtype, apply_state) 287 super(RMSprop, self).set_weights(weights) 290 config = super(RMSprop, self).get_config() 302 RMSProp = RMSprop
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D | rmsprop_test.py | 118 opt = rmsprop.RMSprop( 199 opt = rmsprop.RMSprop( 273 opt = rmsprop.RMSprop( 337 sgd_op = rmsprop.RMSprop( 365 sgd_op = rmsprop.RMSprop( 399 opt = rmsprop.RMSprop( 473 opt = rmsprop.RMSprop(learning_rate, rho, momentum, epsilon) 511 opt = rmsprop.RMSprop(lr=1.0) 512 opt_2 = rmsprop.RMSprop(learning_rate=0.1, lr=1.0) 513 opt_3 = rmsprop.RMSprop(learning_rate=0.1) [all …]
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D | optimizer_v2_test.py | 782 opt_v1 = optimizer_v1.RMSprop() 783 opt_v2 = rmsprop.RMSprop() 1169 ('RMSprop', rmsprop.RMSprop, None), 1170 ('RMSprop_centered', rmsprop.RMSprop, dict(centered=True)), 1171 ('RMSprop_momentum', rmsprop.RMSprop, dict(momentum=0.5)), 1172 ('RMSprop_momentum_centered', rmsprop.RMSprop,
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/external/tensorflow/tensorflow/python/keras/engine/ |
D | training_generator_test.py | 105 optimizer=rmsprop.RMSprop(1e-3), 143 optimizer=rmsprop.RMSprop(1e-3), 206 optimizer=rmsprop.RMSprop(1e-3), 244 optimizer=rmsprop.RMSprop(1e-3), 287 rmsprop.RMSprop(0.001), 303 optimizer=rmsprop.RMSprop(1e-3), 400 model.compile(loss='mse', optimizer=rmsprop.RMSprop(1e-3)) 444 model.compile(rmsprop.RMSprop(0.001), 'binary_crossentropy') 456 model.compile(rmsprop.RMSprop(0.001), 'binary_crossentropy')
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D | training_eager_test.py | 83 optimizer = rmsprop.RMSprop(learning_rate=0.001) 155 optimizer = rmsprop.RMSprop(learning_rate=0.001) 179 model.compile(optimizer=rmsprop.RMSprop(learning_rate=0.001), 204 optimizer = rmsprop.RMSprop(learning_rate=0.001) 248 optimizer=rmsprop.RMSprop(learning_rate=0.001, **optimizer_kwargs), 269 optimizer=rmsprop.RMSprop(learning_rate=0.001, clipvalue=0.0), 291 optimizer=rmsprop.RMSprop(learning_rate=0.001),
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D | control_flow_test.py | 117 model.compile(rmsprop.RMSprop(0.001), loss='mse') 125 model.compile(rmsprop.RMSprop(0.001), loss='mse') 133 model.compile(rmsprop.RMSprop(0.001), loss='mse')
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D | base_layer_test.py | 103 model.compile(rmsprop.RMSprop(0.001), loss='mse') 116 model.compile(rmsprop.RMSprop(0.001), loss='mse') 135 model.compile(rmsprop.RMSprop(0.001), loss='mse') 170 model.compile(rmsprop.RMSprop(0.001), loss='mse') 186 model.compile(rmsprop.RMSprop(0.001), loss='mse') 207 model.compile(rmsprop.RMSprop(0.001), loss='mse') 232 model.compile(rmsprop.RMSprop(0.001), loss='mse') 395 model.compile(rmsprop.RMSprop(0.), 409 model.compile(rmsprop.RMSprop(0.),
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.keras.optimizers.-r-m-sprop.pbtxt | 1 path: "tensorflow.keras.optimizers.RMSprop" 3 is_instance: "<class \'tensorflow.python.keras.optimizer_v2.rmsprop.RMSprop\'>" 29 …None, keywords=kwargs, defaults=[\'0.001\', \'0.9\', \'0.0\', \'1e-07\', \'False\', \'RMSprop\'], "
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D | tensorflow.optimizers.-r-m-sprop.pbtxt | 1 path: "tensorflow.optimizers.RMSprop" 3 is_instance: "<class \'tensorflow.python.keras.optimizer_v2.rmsprop.RMSprop\'>" 29 …None, keywords=kwargs, defaults=[\'0.001\', \'0.9\', \'0.0\', \'1e-07\', \'False\', \'RMSprop\'], "
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D | tensorflow.optimizers.pbtxt | 32 name: "RMSprop"
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D | tensorflow.keras.optimizers.pbtxt | 32 name: "RMSprop"
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.keras.optimizers.-r-m-sprop.pbtxt | 1 path: "tensorflow.keras.optimizers.RMSprop" 3 is_instance: "<class \'tensorflow.python.keras.optimizer_v2.rmsprop.RMSprop\'>" 29 …None, keywords=kwargs, defaults=[\'0.001\', \'0.9\', \'0.0\', \'1e-07\', \'False\', \'RMSprop\'], "
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D | tensorflow.keras.optimizers.pbtxt | 32 name: "RMSprop"
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/external/tensorflow/tensorflow/python/keras/saving/ |
D | saved_model_experimental_test.py | 63 optimizer=rmsprop.RMSprop(lr=0.0001), 105 optimizer=rmsprop.RMSprop(lr=0.0001), 469 clone.compile(loss='mse', optimizer=optimizer_v1.RMSprop(lr=0.0001)) 498 clone.compile(loss='mse', optimizer=optimizer_v1.RMSprop(lr=0.0001))
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/external/tensorflow/tensorflow/python/keras/distribute/ |
D | custom_training_loop_models_test.py | 98 optimizer = keras.optimizer_v2.rmsprop.RMSprop() 136 optimizer = keras.optimizer_v2.rmsprop.RMSprop() 161 optimizer = keras.optimizer_v2.rmsprop.RMSprop() 193 optimizer = keras.optimizer_v2.rmsprop.RMSprop()
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D | optimizer_combinations.py | 70 "RmsPropKerasV2", lambda: rmsprop_keras_v2.RMSprop(0.001))
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D | mirrored_strategy_test.py | 102 optimizer = rmsprop.RMSprop(learning_rate=0.1)
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/external/tensorflow/tensorflow/python/keras/ |
D | optimizers.py | 70 'rmsprop': rmsprop_v2.RMSprop,
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D | optimizers_test.py | 122 self._test_optimizer(optimizer_v1.RMSprop()) 123 self._test_optimizer(optimizer_v1.RMSprop(decay=1e-3))
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D | models_test.py | 266 optimizer=keras.optimizer_v2.rmsprop.RMSprop(lr=0.01), 457 (optimizer_v1.RMSprop, keras.optimizer_v2.rmsprop.RMSprop))
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D | optimizer_v1.py | 235 class RMSprop(Optimizer): class 250 super(RMSprop, self).__init__(**kwargs) 298 base_config = super(RMSprop, self).get_config() 834 rmsprop = RMSprop
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/external/tensorflow/tensorflow/python/keras/layers/ |
D | cudnn_recurrent_test.py | 33 from tensorflow.python.keras.optimizer_v2.rmsprop import RMSprop 118 optimizer=RMSprop(learning_rate=0.001)) 151 optimizer=RMSprop(learning_rate=0.001),
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/external/tensorflow/tensorflow/compiler/xla/g3doc/tutorials/ |
D | autoclustering_xla.ipynb | 139 "[RMSprop](https://www.tensorflow.org/api_docs/python/tf/train/RMSPropOptimizer)\n", 154 " opt = tf.keras.optimizers.RMSprop(lr=0.0001, decay=1e-6)\n",
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