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/TensorFlow 2.3

tf.raw_ops.LRNGrad

Gradients for Local Response Normalization.

Args
input_grads A Tensor. Must be one of the following types: half, bfloat16, float32. 4-D with shape [batch, height, width, channels].
input_image A Tensor. Must have the same type as input_grads. 4-D with shape [batch, height, width, channels].
output_image A Tensor. Must have the same type as input_grads. 4-D with shape [batch, height, width, channels].
depth_radius An optional int. Defaults to 5. A depth radius.
bias An optional float. Defaults to 1. An offset (usually > 0 to avoid dividing by 0).
alpha An optional float. Defaults to 1. A scale factor, usually positive.
beta An optional float. Defaults to 0.5. An exponent.
name A name for the operation (optional).
Returns
A Tensor. Has the same type as input_grads.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/LRNGrad