Searched refs:RMSProp (Results 1 – 18 of 18) sorted by relevance
/external/tensorflow/tensorflow/core/api_def/base_api/ |
D | api_def_RetrieveTPUEmbeddingCenteredRMSPropParameters.pbtxt | 7 Parameter parameters updated by the centered RMSProp optimization algorithm. 13 Parameter ms updated by the centered RMSProp optimization algorithm. 19 Parameter mom updated by the centered RMSProp optimization algorithm. 25 Parameter mg updated by the centered RMSProp optimization algorithm. 28 summary: "Retrieve centered RMSProp embedding parameters."
|
D | api_def_RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug.pbtxt | 7 Parameter parameters updated by the RMSProp optimization algorithm. 13 Parameter ms updated by the RMSProp optimization algorithm. 19 Parameter mom updated by the RMSProp optimization algorithm. 25 Parameter gradient_accumulators updated by the RMSProp optimization algorithm. 28 summary: "Retrieve RMSProp embedding parameters with debug support."
|
D | api_def_LoadTPUEmbeddingCenteredRMSPropParameters.pbtxt | 7 Value of parameters used in the centered RMSProp optimization algorithm. 13 Value of ms used in the centered RMSProp optimization algorithm. 19 Value of mom used in the centered RMSProp optimization algorithm. 25 Value of mg used in the centered RMSProp optimization algorithm. 28 summary: "Load centered RMSProp embedding parameters."
|
D | api_def_LoadTPUEmbeddingRMSPropParametersGradAccumDebug.pbtxt | 7 Value of parameters used in the RMSProp optimization algorithm. 13 Value of ms used in the RMSProp optimization algorithm. 19 Value of mom used in the RMSProp optimization algorithm. 25 Value of gradient_accumulators used in the RMSProp optimization algorithm. 28 summary: "Load RMSProp embedding parameters with debug support."
|
D | api_def_RetrieveTPUEmbeddingRMSPropParameters.pbtxt | 7 Parameter parameters updated by the RMSProp optimization algorithm. 13 Parameter ms updated by the RMSProp optimization algorithm. 19 Parameter mom updated by the RMSProp optimization algorithm. 22 summary: "Retrieve RMSProp embedding parameters."
|
D | api_def_LoadTPUEmbeddingRMSPropParameters.pbtxt | 7 Value of parameters used in the RMSProp optimization algorithm. 13 Value of ms used in the RMSProp optimization algorithm. 19 Value of mom used in the RMSProp optimization algorithm. 22 summary: "Load RMSProp embedding parameters."
|
D | api_def_ResourceSparseApplyCenteredRMSProp.pbtxt | 65 summary: "Update \'*var\' according to the centered RMSProp algorithm." 67 The centered RMSProp algorithm uses an estimate of the centered second moment 68 (i.e., the variance) for normalization, as opposed to regular RMSProp, which
|
D | api_def_ResourceApplyCenteredRMSProp.pbtxt | 65 summary: "Update \'*var\' according to the centered RMSProp algorithm." 67 The centered RMSProp algorithm uses an estimate of the centered second moment 68 (i.e., the variance) for normalization, as opposed to regular RMSProp, which
|
D | api_def_SparseApplyCenteredRMSProp.pbtxt | 71 summary: "Update \'*var\' according to the centered RMSProp algorithm." 73 The centered RMSProp algorithm uses an estimate of the centered second moment 74 (i.e., the variance) for normalization, as opposed to regular RMSProp, which
|
D | api_def_ApplyCenteredRMSProp.pbtxt | 71 summary: "Update \'*var\' according to the centered RMSProp algorithm." 73 The centered RMSProp algorithm uses an estimate of the centered second moment 74 (i.e., the variance) for normalization, as opposed to regular RMSProp, which
|
D | api_def_ApplyRMSProp.pbtxt | 59 summary: "Update \'*var\' according to the RMSProp algorithm."
|
D | api_def_ResourceApplyRMSProp.pbtxt | 53 summary: "Update \'*var\' according to the RMSProp algorithm."
|
D | api_def_ResourceSparseApplyRMSProp.pbtxt | 59 summary: "Update \'*var\' according to the RMSProp algorithm."
|
D | api_def_SparseApplyRMSProp.pbtxt | 65 summary: "Update \'*var\' according to the RMSProp algorithm."
|
/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.train.-r-m-s-prop-optimizer.pbtxt | 21 …s=None, keywords=None, defaults=[\'0.9\', \'0.0\', \'1e-10\', \'False\', \'False\', \'RMSProp\'], "
|
/external/tensorflow/tensorflow/core/kernels/ |
D | training_ops_test.cc | 295 static void RMSProp(int32 n, Graph** init_g, Graph** train_g) { in RMSProp() function 329 RMSProp(params, &init, &train); in BM_RMSProp()
|
/external/tensorflow/tensorflow/python/keras/optimizer_v2/ |
D | rmsprop.py | 302 RMSProp = RMSprop variable
|
/external/tensorflow/tensorflow/compiler/mlir/tensorflow/ir/ |
D | tf_generated_ops.td | 6433 let summary = "Load centered RMSProp embedding parameters."; 6444 …Arg<TF_Float32Tensor, [{Value of parameters used in the centered RMSProp optimization algorithm.}]… 6445 Arg<TF_Float32Tensor, [{Value of ms used in the centered RMSProp optimization algorithm.}]>:$ms, 6446 … Arg<TF_Float32Tensor, [{Value of mom used in the centered RMSProp optimization algorithm.}]>:$mom, 6447 Arg<TF_Float32Tensor, [{Value of mg used in the centered RMSProp optimization algorithm.}]>:$mg, 6681 let summary = "Load RMSProp embedding parameters."; 6692 …Arg<TF_Float32Tensor, [{Value of parameters used in the RMSProp optimization algorithm.}]>:$parame… 6693 Arg<TF_Float32Tensor, [{Value of ms used in the RMSProp optimization algorithm.}]>:$ms, 6694 Arg<TF_Float32Tensor, [{Value of mom used in the RMSProp optimization algorithm.}]>:$mom, 6707 let summary = "Load RMSProp embedding parameters with debug support."; [all …]
|