tensorflow::ops::FusedBatchNormGradV2::Attrs

#include <nn_ops.h>

Optional attribute setters for FusedBatchNormGradV2.

Summary

Public functions
`DataFormat(StringPiece x)`	`TF_MUST_USE_RESULT Attrs` The data format for y_backprop, x, x_backprop.
`Epsilon(float x)`	`TF_MUST_USE_RESULT Attrs` A small float number added to the variance of x.
`IsTraining(bool x)`	`TF_MUST_USE_RESULT Attrs` A bool value to indicate the operation is for training (default) or inference.

StringPiece tensorflow::ops::FusedBatchNormGradV2::Attrs::data_format_ = "NHWC"

float tensorflow::ops::FusedBatchNormGradV2::Attrs::epsilon_ = 0.0001f

bool tensorflow::ops::FusedBatchNormGradV2::Attrs::is_training_ = true

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"

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

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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Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/cc/struct/tensorflow/ops/fused-batch-norm-grad-v2/attrs