tf.raw_ops.LRNGrad

Gradients for Local Response Normalization.

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Compat aliases for migration

See Migration guide for more details.

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.