• Normalizes the activation of a local neighborhood across or within channels.

    Type Parameters

    Parameters

    • x: TensorLike | T

      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: number

      The number of adjacent channels in the 1D normalization window.

    • Optional bias: number

      A constant bias term for the basis.

    • Optional alpha: number

      A scale factor, usually positive.

    • Optional beta: number

      An exponent.

    Returns T

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