DepthToSpace - version 1#

This page documents version 1 of operator DepthToSpace. See DepthToSpace for the latest version (since version 13).

  • Domain: ai.onnx

  • Since version: 1

DepthToSpace rearranges (permutes) data from depth into blocks of spatial data. This is the reverse transformation of SpaceToDepth. More specifically, this op outputs a copy of the input tensor where values from the depth dimension are moved in spatial blocks to the height and width dimensions.

Inputs

  • input (T): Input tensor of [N,C,H,W], where N is the batch axis, C is the channel or depth, H is the height and W is the width.

Outputs

  • output (T): Output tensor of [N, C/(blocksize * blocksize), H * blocksize, W * blocksize].

Attributes

  • blocksize (int): Blocks of [blocksize, blocksize] are moved.

Type Constraints

  • T: Constrain input and output types to all tensor types. Allowed types: tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8).