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.. _op_ai_onnx_Tile-6:

Tile - version 6
================

This page documents version **6** of operator **Tile**. See :doc:`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).