.. _op_ai_onnx_Tile:

Tile
====

- **Domain**: ``ai.onnx``
- **Since version**: 13

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(bfloat16), 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).

Examples
--------

**test_cc_shape_inference_resize_tile**

.. code-block:: text

    Node:
      Tile(resized_out, repeats) -> (tile_out)

.. code-block:: text

    Inputs:
      resized_out: shape=(10, 6), dtype=float32
        [[ 1.,  2.,  3.,  4.,  5.,  6.],
         [ 7.,  8.,  9., 10., 11., 12.],
         [13., 14., 15., 16., 17., 18.],
         [19., 20., 21., 22., 23., 24.],
         [25., 26., 27., 28., 29., 30.],
         [31., 32., 33., 34., 35., 36.],
         [37., 38., 39., 40., 41., 42.],
         [43., 44., 45., 46., 47., 48.],
         [49., 50., 51., 52., 53., 54.],
         [55., 56., 57., 58., 59., 60.]]

    Outputs:
      tile_out: shape=(10, 6), dtype=float32
        [[ 1.,  3.,  5.,  1.,  3.,  5.],
         [13., 15., 17., 13., 15., 17.],
         [25., 27., 29., 25., 27., 29.],
         [37., 39., 41., 37., 39., 41.],
         [49., 51., 53., 49., 51., 53.],
         [ 1.,  3.,  5.,  1.,  3.,  5.],
         [13., 15., 17., 13., 15., 17.],
         [25., 27., 29., 25., 27., 29.],
         [37., 39., 41., 37., 39., 41.],
         [49., 51., 53., 49., 51., 53.]]

**test_cc_tile_1d**

.. code-block:: text

    Node:
      Tile(x, y) -> (z)

.. code-block:: text

    Inputs:
      x: shape=(3,), dtype=float32
        [1., 2., 3.]
      y: shape=(1,), dtype=int64
        [3]

    Outputs:
      z: shape=(9,), dtype=float32
        [1., 2., 3., 1., 2., 3., 1., 2., 3.]

**test_cc_tile_precomputed**

.. code-block:: text

    Node:
      Tile(x, y) -> (z)

.. code-block:: text

    Inputs:
      x: shape=(2, 2), dtype=float32
        [[0., 1.],
         [2., 3.]]
      y: shape=(2,), dtype=int64
        [2, 2]

    Outputs:
      z: shape=(4, 4), dtype=float32
        [[0., 1., 0., 1.],
         [2., 3., 2., 3.],
         [0., 1., 0., 1.],
         [2., 3., 2., 3.]]

**test_cc_tile_repeats_one**

.. code-block:: text

    Node:
      Tile(x, y) -> (z)

.. code-block:: text

    Inputs:
      x: shape=(2, 2), dtype=float32
        [[1., 2.],
         [3., 4.]]
      y: shape=(2,), dtype=int64
        [1, 1]

    Outputs:
      z: shape=(2, 2), dtype=float32
        [[1., 2.],
         [3., 4.]]

Differences with previous version (6)
-------------------------------------

**SchemaDiff**: ``Tile`` (domain ``'ai.onnx'``)

* old version: 6
* new version: 13
* breaking: no

**Type constraints:**

* changed 'T': added types: ['tensor(bfloat16)']

Version History
---------------

- :doc:`Version 6 <Tile-6>`