tensorflow::ops::LRN::Attrs

#include <nn_ops.h>

Optional attribute setters for LRN.

Summary

Public functions
`Alpha(float x)`	`TF_MUST_USE_RESULT Attrs` A scale factor, usually positive.
`Beta(float x)`	`TF_MUST_USE_RESULT Attrs` An exponent.
`Bias(float x)`	`TF_MUST_USE_RESULT Attrs` An offset (usually positive to avoid dividing by 0).
`DepthRadius(int64 x)`	`TF_MUST_USE_RESULT Attrs` 0-D.

float tensorflow::ops::LRN::Attrs::alpha_ = 1.0f

float tensorflow::ops::LRN::Attrs::beta_ = 0.5f

float tensorflow::ops::LRN::Attrs::bias_ = 1.0f

int64 tensorflow::ops::LRN::Attrs::depth_radius_ = 5

TF_MUST_USE_RESULT Attrs tensorflow::ops::LRN::Attrs::Alpha(
  float x
)

A scale factor, usually positive.

Defaults to 1

TF_MUST_USE_RESULT Attrs tensorflow::ops::LRN::Attrs::Beta(
  float x
)

An exponent.

Defaults to 0.5

TF_MUST_USE_RESULT Attrs tensorflow::ops::LRN::Attrs::Bias(
  float x
)

An offset (usually positive to avoid dividing by 0).

Defaults to 1

TF_MUST_USE_RESULT Attrs tensorflow::ops::LRN::Attrs::DepthRadius(
  int64 x
)

0-D.

Half-width of the 1-D normalization window.

Defaults to 5

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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/l-r-n/attrs