Function conv2d

Parameters

• x: 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.

• filter: Tensor4D | TensorLike

  The filter, rank 4, of shape [filterHeight, filterWidth, inDepth, outDepth].

• strides: number | [number, number]

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

• pad: number | "valid" | "same" | 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_docs/python/tf/nn/convolution

• Optional dataFormat: "NHWC" | "NCHW"

• Optional dilations: number | [number, number]

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

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

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