tf.raw_ops.LRNGrad

Gradients for Local Response Normalization.

Compat aliases for migration

tf.compat.v1.raw_ops.LRNGrad

tf.raw_ops.LRNGrad(
    input_grads, input_image, output_image, depth_radius=5, bias=1, alpha=1,
    beta=0.5, name=None
)

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

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