Tile - version 6#

This page documents version 6 of operator Tile. See Tile for the latest version (since version 13).

  • Domain: ai.onnx

  • Since version: 6

Constructs a tensor by tiling a given tensor. This is the same as function tile in Numpy, but no broadcast. For example A = [[1, 2], [3, 4]], B = [1, 2], tile(A, B) = [[1, 2, 1, 2], [3, 4, 3, 4]]

Inputs

  • input (T): Input tensor of any shape.

  • repeats (T1): 1D int64 tensor of the same length as input’s dimension number, includes numbers of repeated copies along input’s dimensions.

Outputs

  • output (T): Output tensor of the same dimensions and type as tensor input. output_dim[i] = input_dim[i] * repeats[i]

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).

  • T1: Constrain repeat’s type to int64 tensors. Allowed types: tensor(int64).