Function computeDilation2DInfo

Parameters

• inputShape: [number, number, number, number]

  Input tensor shape is of the following dimensions: [batch, height, width, inChannels].

• filterShape: [number, number, number]

  The filter shape is of the following dimensions: [filterHeight, filterWidth, depth].

• strides: number | [number, number]

  The strides of the sliding window for each dimension of the input tensor: [strideHeight, strideWidth]. If strides is a single number, then strideHeight == strideWidth.

• pad: number | "same" | "valid"

  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 1*1x1.
  • For more info, see this guide: https://www.tensorflow.org/api_docs/python/tf/nn/convolution

• dataFormat: "NHWC"

  The data format of the input and output data. Defaults to 'NHWC'.

• dilations: number | [number, number]

  The dilation rates: [dilationHeight, dilationWidth]. Defaults to [1, 1]. If dilations is a single number, then dilationHeight == dilationWidth.