/external/tensorflow/tensorflow/core/api_def/base_api/ |
D | api_def_RetrieveTPUEmbeddingMDLAdagradLightParameters.pbtxt | 7 Parameter parameters updated by the MDL Adagrad Light optimization algorithm. 13 Parameter accumulators updated by the MDL Adagrad Light optimization algorithm. 19 Parameter weights updated by the MDL Adagrad Light optimization algorithm. 25 Parameter benefits updated by the MDL Adagrad Light optimization algorithm. 28 summary: "Retrieve MDL Adagrad Light embedding parameters."
|
D | api_def_LoadTPUEmbeddingMDLAdagradLightParameters.pbtxt | 7 Value of parameters used in the MDL Adagrad Light optimization algorithm. 13 Value of accumulators used in the MDL Adagrad Light optimization algorithm. 19 Value of weights used in the MDL Adagrad Light optimization algorithm. 25 Value of benefits used in the MDL Adagrad Light optimization algorithm. 28 summary: "Load MDL Adagrad Light embedding parameters."
|
D | api_def_RetrieveTPUEmbeddingAdagradParametersGradAccumDebug.pbtxt | 7 Parameter parameters updated by the Adagrad optimization algorithm. 13 Parameter accumulators updated by the Adagrad optimization algorithm. 19 Parameter gradient_accumulators updated by the Adagrad optimization algorithm. 22 summary: "Retrieve Adagrad embedding parameters with debug support."
|
D | api_def_RetrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug.pbtxt | 7 Parameter parameters updated by the proximal Adagrad optimization algorithm. 13 Parameter accumulators updated by the proximal Adagrad optimization algorithm. 19 Parameter gradient_accumulators updated by the proximal Adagrad optimization algorithm. 22 summary: "Retrieve proximal Adagrad embedding parameters with debug support."
|
D | api_def_LoadTPUEmbeddingProximalAdagradParametersGradAccumDebug.pbtxt | 7 Value of parameters used in the proximal Adagrad optimization algorithm. 13 Value of accumulators used in the proximal Adagrad optimization algorithm. 19 Value of gradient_accumulators used in the proximal Adagrad optimization algorithm. 22 summary: "Load proximal Adagrad embedding parameters with debug support."
|
D | api_def_LoadTPUEmbeddingAdagradParametersGradAccumDebug.pbtxt | 7 Value of parameters used in the Adagrad optimization algorithm. 13 Value of accumulators used in the Adagrad optimization algorithm. 19 Value of gradient_accumulators used in the Adagrad optimization algorithm. 22 summary: "Load Adagrad embedding parameters with debug support."
|
D | api_def_RetrieveTPUEmbeddingAdagradParameters.pbtxt | 7 Parameter parameters updated by the Adagrad optimization algorithm. 13 Parameter accumulators updated by the Adagrad optimization algorithm. 16 summary: "Retrieve Adagrad embedding parameters."
|
D | api_def_RetrieveTPUEmbeddingProximalAdagradParameters.pbtxt | 7 Parameter parameters updated by the proximal Adagrad optimization algorithm. 13 Parameter accumulators updated by the proximal Adagrad optimization algorithm. 16 summary: "Retrieve proximal Adagrad embedding parameters."
|
D | api_def_LoadTPUEmbeddingAdagradParameters.pbtxt | 7 Value of parameters used in the Adagrad optimization algorithm. 13 Value of accumulators used in the Adagrad optimization algorithm. 16 summary: "Load Adagrad embedding parameters."
|
D | api_def_LoadTPUEmbeddingProximalAdagradParameters.pbtxt | 7 Value of parameters used in the proximal Adagrad optimization algorithm. 13 Value of accumulators used in the proximal Adagrad optimization algorithm. 16 summary: "Load proximal Adagrad embedding parameters."
|
D | api_def_ResourceApplyProximalAdagrad.pbtxt | 46 summary: "Update \'*var\' and \'*accum\' according to FOBOS with Adagrad learning rate."
|
D | api_def_ApplyProximalAdagrad.pbtxt | 52 summary: "Update \'*var\' and \'*accum\' according to FOBOS with Adagrad learning rate."
|
/external/tensorflow/tensorflow/python/keras/optimizer_v2/ |
D | adagrad_test.py | 84 ada_opt = adagrad.Adagrad(learning_rate) 135 ada_opt = adagrad.Adagrad(learning_rate, decay=decay) 181 ada_opt = adagrad.Adagrad(lr_schedule) 222 sgd_op = adagrad.Adagrad(1.0).minimize(loss, var_list=[var0]) 247 ada_opt = adagrad.Adagrad(learning_rate) 286 ada_opt = adagrad.Adagrad(learning_rate) 331 repeated_update = adagrad.Adagrad(3.0).apply_gradients( 333 aggregated_update = adagrad.Adagrad(3.0).apply_gradients( 356 update_op_repeated = adagrad.Adagrad(2.0).minimize( 358 update_op_aggregated = adagrad.Adagrad(2.0).minimize( [all …]
|
D | adagrad.py | 35 class Adagrad(optimizer_v2.OptimizerV2): class 97 super(Adagrad, self).__init__(name, **kwargs) 117 super(Adagrad, self).set_weights(weights) 173 config = super(Adagrad, self).get_config()
|
/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.optimizers.-adagrad.pbtxt | 1 path: "tensorflow.optimizers.Adagrad" 3 is_instance: "<class \'tensorflow.python.keras.optimizer_v2.adagrad.Adagrad\'>" 17 … \'name\'], varargs=None, keywords=kwargs, defaults=[\'0.001\', \'0.1\', \'1e-07\', \'Adagrad\'], "
|
D | tensorflow.keras.optimizers.-adagrad.pbtxt | 1 path: "tensorflow.keras.optimizers.Adagrad" 3 is_instance: "<class \'tensorflow.python.keras.optimizer_v2.adagrad.Adagrad\'>" 17 … \'name\'], varargs=None, keywords=kwargs, defaults=[\'0.001\', \'0.1\', \'1e-07\', \'Adagrad\'], "
|
D | tensorflow.optimizers.pbtxt | 8 name: "Adagrad"
|
D | tensorflow.keras.optimizers.pbtxt | 8 name: "Adagrad"
|
D | tensorflow.estimator.-d-n-n-regressor.pbtxt | 24 …\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'Adagrad\', \'<function re…
|
/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.keras.optimizers.-adagrad.pbtxt | 1 path: "tensorflow.keras.optimizers.Adagrad" 3 is_instance: "<class \'tensorflow.python.keras.optimizer_v2.adagrad.Adagrad\'>" 17 … \'name\'], varargs=None, keywords=kwargs, defaults=[\'0.001\', \'0.1\', \'1e-07\', \'Adagrad\'], "
|
D | tensorflow.keras.optimizers.pbtxt | 8 name: "Adagrad"
|
D | tensorflow.train.-adagrad-optimizer.pbtxt | 21 …se_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'0.1\', \'False\', \'Adagrad\'], "
|
/external/tensorflow/tensorflow/contrib/keras/api/keras/optimizers/ |
D | __init__.py | 23 from tensorflow.python.keras.optimizers import Adagrad
|
/external/tensorflow/tensorflow/python/keras/ |
D | optimizers_test.py | 115 self._test_optimizer(keras.optimizers.Adagrad()) 116 self._test_optimizer(keras.optimizers.Adagrad(decay=1e-3))
|
D | optimizers.py | 291 class Adagrad(Optimizer): class 312 super(Adagrad, self).__init__(**kwargs) 353 base_config = super(Adagrad, self).get_config() 777 adagrad = Adagrad 805 'adagrad': adagrad_v2.Adagrad,
|