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/external/tensorflow/tensorflow/python/keras/optimizer_v2/
Drmsprop.py34 class RMSprop(optimizer_v2.OptimizerV2): class
107 super(RMSprop, self).__init__(name, **kwargs)
133 super(RMSprop, self)._prepare_local(var_device, var_dtype, apply_state)
255 super(RMSprop, self).set_weights(weights)
258 config = super(RMSprop, self).get_config()
270 RMSProp = RMSprop
Drmsprop_test.py118 opt = rmsprop.RMSprop(
198 opt = rmsprop.RMSprop(
271 opt = rmsprop.RMSprop(
334 sgd_op = rmsprop.RMSprop(
361 sgd_op = rmsprop.RMSprop(
395 opt = rmsprop.RMSprop(
469 opt = rmsprop.RMSprop(learning_rate, rho, momentum, epsilon)
507 opt = rmsprop.RMSprop(lr=1.0)
508 opt_2 = rmsprop.RMSprop(learning_rate=0.1, lr=1.0)
509 opt_3 = rmsprop.RMSprop(learning_rate=0.1)
[all …]
Doptimizer_v2_test.py724 opt_v1 = optimizers.RMSprop()
725 opt_v2 = rmsprop.RMSprop()
1108 ('RMSprop', rmsprop.RMSprop, None),
1109 ('RMSprop_centered', rmsprop.RMSprop, dict(centered=True)),
1110 ('RMSprop_momentum', rmsprop.RMSprop, dict(momentum=0.5)),
1111 ('RMSprop_momentum_centered', rmsprop.RMSprop,
/external/tensorflow/tensorflow/python/keras/engine/
Dtraining_generator_test.py102 optimizer=rmsprop.RMSprop(1e-3),
140 optimizer=rmsprop.RMSprop(1e-3),
205 optimizer=rmsprop.RMSprop(1e-3),
244 optimizer=rmsprop.RMSprop(1e-3),
289 rmsprop.RMSprop(0.001),
306 optimizer=rmsprop.RMSprop(1e-3),
429 model.compile(loss='mse', optimizer=rmsprop.RMSprop(1e-3))
473 model.compile(rmsprop.RMSprop(0.001), 'binary_crossentropy')
485 model.compile(rmsprop.RMSprop(0.001), 'binary_crossentropy')
Dcontrol_flow_test.py117 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')
Dtraining_eager_test.py86 optimizer = rmsprop.RMSprop(learning_rate=0.001)
159 optimizer = rmsprop.RMSprop(learning_rate=0.001)
184 model.compile(optimizer=rmsprop.RMSprop(learning_rate=0.001),
211 optimizer = rmsprop.RMSprop(learning_rate=0.001)
250 optimizer=rmsprop.RMSprop(learning_rate=0.001),
271 optimizer=rmsprop.RMSprop(learning_rate=0.001),
Dbase_layer_test.py90 model.compile(rmsprop.RMSprop(0.001), loss='mse')
100 model.compile(rmsprop.RMSprop(0.001), loss='mse')
112 model.compile(rmsprop.RMSprop(0.001), loss='mse')
151 model.compile(rmsprop.RMSprop(0.001), loss='mse')
167 model.compile(rmsprop.RMSprop(0.001), loss='mse')
188 model.compile(rmsprop.RMSprop(0.001), loss='mse')
214 model.compile(rmsprop.RMSprop(0.001), loss='mse')
414 model.compile(rmsprop.RMSprop(0.),
428 model.compile(rmsprop.RMSprop(0.),
1505 model.compile(rmsprop.RMSprop(0.001), loss='mse')
/external/tensorflow/tensorflow/tools/api/golden/v1/
Dtensorflow.keras.optimizers.-r-m-sprop.pbtxt1 path: "tensorflow.keras.optimizers.RMSprop"
3 is_instance: "<class \'tensorflow.python.keras.optimizer_v2.rmsprop.RMSprop\'>"
17 …None, keywords=kwargs, defaults=[\'0.001\', \'0.9\', \'0.0\', \'1e-07\', \'False\', \'RMSprop\'], "
Dtensorflow.keras.optimizers.pbtxt32 name: "RMSprop"
/external/tensorflow/tensorflow/tools/api/golden/v2/
Dtensorflow.keras.optimizers.-r-m-sprop.pbtxt1 path: "tensorflow.keras.optimizers.RMSprop"
3 is_instance: "<class \'tensorflow.python.keras.optimizer_v2.rmsprop.RMSprop\'>"
17 …None, keywords=kwargs, defaults=[\'0.001\', \'0.9\', \'0.0\', \'1e-07\', \'False\', \'RMSprop\'], "
Dtensorflow.optimizers.-r-m-sprop.pbtxt1 path: "tensorflow.optimizers.RMSprop"
3 is_instance: "<class \'tensorflow.python.keras.optimizer_v2.rmsprop.RMSprop\'>"
17 …None, keywords=kwargs, defaults=[\'0.001\', \'0.9\', \'0.0\', \'1e-07\', \'False\', \'RMSprop\'], "
Dtensorflow.optimizers.pbtxt32 name: "RMSprop"
Dtensorflow.keras.optimizers.pbtxt32 name: "RMSprop"
/external/tensorflow/tensorflow/python/keras/saving/
Dsaved_model_experimental_test.py66 optimizer=rmsprop.RMSprop(lr=0.0001),
111 optimizer=rmsprop.RMSprop(lr=0.0001),
475 clone.compile(loss='mse', optimizer=keras.optimizers.RMSprop(lr=0.0001))
504 clone.compile(loss='mse', optimizer=keras.optimizers.RMSprop(lr=0.0001))
Dhdf5_format_test.py346 optimizer=keras.optimizers.RMSprop(lr=0.0001),
359 optimizer=keras.optimizers.RMSprop(lr=0.0001),
394 optimizer=keras.optimizer_v2.rmsprop.RMSprop(lr=0.0001),
443 optimizer=keras.optimizers.RMSprop(lr=0.0001),
493 class CustomOp(keras.optimizers.RMSprop):
531 optimizer=keras.optimizers.RMSprop(lr=0.0001),
832 model.optimizer = keras.optimizer_v2.rmsprop.RMSprop(lr=0.0001)
/external/tensorflow/tensorflow/python/keras/
Doptimizers_test.py125 self._test_optimizer(keras.optimizers.RMSprop())
126 self._test_optimizer(keras.optimizers.RMSprop(decay=1e-3))
Doptimizers.py223 class RMSprop(Optimizer): class
238 super(RMSprop, self).__init__(**kwargs)
282 base_config = super(RMSprop, self).get_config()
772 rmsprop = RMSprop
806 'rmsprop': rmsprop_v2.RMSprop,
Dmodels_test.py413 (keras.optimizers.RMSprop,
414 keras.optimizer_v2.rmsprop.RMSprop)))
/external/tensorflow/tensorflow/python/keras/layers/
Dcudnn_recurrent_test.py31 from tensorflow.python.keras.optimizer_v2.rmsprop import RMSprop
117 optimizer=RMSprop(learning_rate=0.001))
150 optimizer=RMSprop(learning_rate=0.001),
/external/tensorflow/tensorflow/compiler/xla/g3doc/tutorials/
Dautoclustering_xla.ipynb139 "[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",
/external/tensorflow/tensorflow/python/distribute/
Dstrategy_combinations.py185 "RmsPropKerasV2", lambda: rmsprop_keras_v2.RMSprop(0.001))
Dcustom_training_loop_test.py756 optimizer = keras.optimizer_v2.rmsprop.RMSprop()
799 optimizer = keras.optimizer_v2.rmsprop.RMSprop()
830 optimizer = keras.optimizer_v2.rmsprop.RMSprop()
/external/tensorflow/tensorflow/python/keras/tests/
Dcustom_training_loop_test.py116 optimizer = keras.optimizer_v2.rmsprop.RMSprop()
/external/tensorflow/tensorflow/python/keras/utils/
Dmulti_gpu_utils_test.py194 optimizer=keras.optimizers.RMSprop(lr=0.0001, decay=1e-6),
/external/tensorflow/tensorflow/lite/g3doc/r1/convert/
Dpython_api.md128 optimizer=tf.keras.optimizers.RMSprop(lr=0.0001),

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