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tensorflow::ops::FusedBatchNormGradV2::Attrs
#include <nn_ops.h>
Optional attribute setters for FusedBatchNormGradV2.
Summary
Public functions
|
DataFormat(StringPiece x)
|
The data format for y_backprop, x, x_backprop.
|
Epsilon(float x)
|
A small float number added to the variance of x.
|
IsTraining(bool x)
|
A bool value to indicate the operation is for training (default) or inference.
|
Public attributes
StringPiece tensorflow::ops::FusedBatchNormGradV2::Attrs::data_format_ = "NHWC"
epsilon_
float tensorflow::ops::FusedBatchNormGradV2::Attrs::epsilon_ = 0.0001f
is_training_
bool tensorflow::ops::FusedBatchNormGradV2::Attrs::is_training_ = true
Public functions
TF_MUST_USE_RESULT Attrs tensorflow::ops::FusedBatchNormGradV2::Attrs::DataFormat(
StringPiece x
)
The data format for y_backprop, x, x_backprop.
Either "NHWC" (default) or "NCHW".
Defaults to "NHWC"
Epsilon
TF_MUST_USE_RESULT Attrs tensorflow::ops::FusedBatchNormGradV2::Attrs::Epsilon(
float x
)
A small float number added to the variance of x.
Defaults to 0.0001
IsTraining
TF_MUST_USE_RESULT Attrs tensorflow::ops::FusedBatchNormGradV2::Attrs::IsTraining(
bool x
)
A bool value to indicate the operation is for training (default) or inference.
Defaults to true
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Last updated 2020-04-20 UTC.
[null,null,["Last updated 2020-04-20 UTC."],[],[],null,["# tensorflow::ops::FusedBatchNormGradV2::Attrs Struct Reference\n\ntensorflow::ops::FusedBatchNormGradV2::Attrs\n============================================\n\n`#include \u003cnn_ops.h\u003e`\n\nOptional attribute setters for [FusedBatchNormGradV2](/versions/r1.15/api_docs/cc/class/tensorflow/ops/fused-batch-norm-grad-v2#classtensorflow_1_1ops_1_1_fused_batch_norm_grad_v2).\n\nSummary\n-------\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------------------------------------------|---------------|\n| [data_format_](#structtensorflow_1_1ops_1_1_fused_batch_norm_grad_v2_1_1_attrs_1a5c7e5651428b698cd994fc8a81d33908)` = \"NHWC\"` | `StringPiece` |\n| [epsilon_](#structtensorflow_1_1ops_1_1_fused_batch_norm_grad_v2_1_1_attrs_1a3ec2c53bad089cfc23146de77cbc3666)` = 0.0001f` | `float` |\n| [is_training_](#structtensorflow_1_1ops_1_1_fused_batch_norm_grad_v2_1_1_attrs_1afb0be5403a6c70a701ec4192098aa58e)` = true` | `bool` |\n\n| ### Public functions ||\n|-----------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [DataFormat](#structtensorflow_1_1ops_1_1_fused_batch_norm_grad_v2_1_1_attrs_1a91225bbb0dc8413eafb12acd0e862616)`(StringPiece x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/fused-batch-norm-grad-v2/attrs#structtensorflow_1_1ops_1_1_fused_batch_norm_grad_v2_1_1_attrs) The data format for y_backprop, x, x_backprop. |\n| [Epsilon](#structtensorflow_1_1ops_1_1_fused_batch_norm_grad_v2_1_1_attrs_1a9afb73d357cab1d8204b4f0ade6e5362)`(float x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/fused-batch-norm-grad-v2/attrs#structtensorflow_1_1ops_1_1_fused_batch_norm_grad_v2_1_1_attrs) A small float number added to the variance of x. |\n| [IsTraining](#structtensorflow_1_1ops_1_1_fused_batch_norm_grad_v2_1_1_attrs_1aae977c700d666da2b88a0777b191145a)`(bool x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/fused-batch-norm-grad-v2/attrs#structtensorflow_1_1ops_1_1_fused_batch_norm_grad_v2_1_1_attrs) A bool value to indicate the operation is for training (default) or inference. |\n\nPublic attributes\n-----------------\n\n### data_format_\n\n```scdoc\nStringPiece tensorflow::ops::FusedBatchNormGradV2::Attrs::data_format_ = \"NHWC\"\n``` \n\n### epsilon_\n\n```scdoc\nfloat tensorflow::ops::FusedBatchNormGradV2::Attrs::epsilon_ = 0.0001f\n``` \n\n### is_training_\n\n```scdoc\nbool tensorflow::ops::FusedBatchNormGradV2::Attrs::is_training_ = true\n``` \n\nPublic functions\n----------------\n\n### DataFormat\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::FusedBatchNormGradV2::Attrs::DataFormat(\n StringPiece x\n)\n``` \nThe data format for y_backprop, x, x_backprop.\n\nEither \"NHWC\" (default) or \"NCHW\".\n\nDefaults to \"NHWC\" \n\n### Epsilon\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::FusedBatchNormGradV2::Attrs::Epsilon(\n float x\n)\n``` \nA small float number added to the variance of x.\n\nDefaults to 0.0001 \n\n### IsTraining\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::FusedBatchNormGradV2::Attrs::IsTraining(\n bool x\n)\n``` \nA bool value to indicate the operation is for training (default) or inference.\n\nDefaults to true"]]
