# tensorplay.nn.functional.local_response_norm

Source: https://www.tensorplay.cn/docs/generated/tensorplay.nn.functional.local_response_norm.html

# tensorplay.nn.functional.local_response_norm

tensorplay.nn.functional.local_response_norm(input: TensorBase, size: [int](https://docs.python.org/3/library/functions.html#int), alpha: [float](https://docs.python.org/3/library/functions.html#float) = 0.0001, beta: [float](https://docs.python.org/3/library/functions.html#float) = 0.75, k: [float](https://docs.python.org/3/library/functions.html#float) = 1.0) → TensorBase[[source]](../_modules/tensorplay/nn/functional.html#local_response_norm)

Apply local response normalization over an input signal.

The input signal is composed of several input planes, where channels
occupy the second dimension. Normalization is applied across channels.

See LocalResponseNorm for details.