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.. _op_ai_onnx_Reshape-13:

Reshape - version 13
====================

This page documents version **13** of operator **Reshape**. See :doc:`Reshape` for the latest version (since version 25).

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

Reshape the input tensor similar to numpy.reshape.

**Inputs**

- **data** (*T*): An input tensor.
- **shape** (*tensor(int64)*): Specified shape for output.

**Outputs**

- **reshaped** (*T*): Reshaped data.

**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).

Examples
--------

**test_cc_reshape_reordered**

.. code-block:: text

    Node:
      Reshape(data, shape) -> (reshaped)

.. code-block:: text

    Inputs:
      data: shape=(2, 3), dtype=float32
        [[1., 2., 3.],
         [4., 5., 6.]]
      shape: shape=(2,), dtype=int64
        [3, 2]

    Outputs:
      reshaped: shape=(3, 2), dtype=float32
        [[1., 2.],
         [3., 4.],
         [5., 6.]]