Function pool

Parameters

• input: TensorLike | T

  The input tensor, of rank 4 or rank 3 of shape [batch, height, width, inChannels]. If rank 3, batch of 1 is assumed.

• windowShape: number | [number, number]

  The filter size: [filterHeight, filterWidth]. If filterSize is a single number, then filterHeight == filterWidth.

• poolingType: "avg" | "max"

  The type of pooling, either 'max' or 'avg'.

• pad: number | "same" | "valid" | ExplicitPadding

  The type of padding algorithm:

  • same and stride 1: output will be of same size as input, regardless of filter size.
  • valid: output will be smaller than input if filter is larger than 1x1.
  • For more info, see this guide: https://www.tensorflow.org/api_guides/python/nn#Convolution

• Optional dilations: number | [number, number]

  The dilation rates: [dilationHeight, dilationWidth] in which we sample input values across the height and width dimensions in dilated pooling. Defaults to [1, 1]. If dilationRate is a single number, then dilationHeight == dilationWidth. If it is greater than 1, then all values of strides must be 1.

• Optional strides: number | [number, number]

  The strides of the pooling: [strideHeight, strideWidth]. If strides is a single number, then strideHeight == strideWidth.

• Optional dimRoundingMode: "floor" | "round" | "ceil"

  A string from: 'ceil', 'round', 'floor'. If none is provided, it will default to truncate.