The input tensor. The 4-D input tensor is treated as a 3-D array of 1D vectors (along the last dimension), and each vector is normalized independently.
Optional depthRadius: numberThe number of adjacent channels in the 1D normalization window.
Optional bias: numberA constant bias term for the basis.
Optional alpha: numberA scale factor, usually positive.
Optional beta: numberAn exponent.
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Normalizes the activation of a local neighborhood across or within channels.