Function conv3d

Parameters

• x: TensorLike | T

  The input tensor, of rank 5 or rank 4, of shape [batch, depth, height, width, channels]. If rank 4, batch of 1 is assumed.

• filter: TensorLike | Tensor5D

  The filter, rank 5, of shape [filterDepth, filterHeight, filterWidth, inChannels, outChannels]. inChannels must match between input and filter.

• strides: number | [number, number, number]

  The strides of the convolution: [strideDepth, strideHeight, strideWidth].

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

• Optional dataFormat: "NDHWC" | "NCDHW"

• Optional dilations: number | [number, number, number]

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