Function conv2dTranspose

Parameters

• x: TensorLike | T

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

• filter: TensorLike | Tensor4D

  The filter, rank 4, of shape [filterHeight, filterWidth, outDepth, inDepth]. inDepth must match inDepth in x.

• outputShape: [number, number, number] | [number, number, number, number]

  Output shape, of rank 4 or rank 3: [batch, height, width, outDepth]. If rank 3, batch of 1 is assumed.

• strides: number | [number, number]

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

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

  The type of padding algorithm used in the non-transpose version of the op.

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

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