.. _op_ai_onnx_Reshape:

Reshape
=======

- **Domain**: ``ai.onnx``
- **Since version**: 25

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.

**Attributes**

- **allowzero** (*int*): (Optional) By default, when any value in the 'shape' input is equal to zero the corresponding dimension value is copied from the input tensor dynamically. allowzero=1 indicates that if any value in the 'shape' input is set to zero, the zero value is honored, similar to NumPy.

**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(float4e2m1), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(float8e8m0), tensor(int16), tensor(int2), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint2), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8).

Differences with previous version (13)
--------------------------------------

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

* old version: 13
* new version: 25
* breaking: no

**Attributes:**

* added 'allowzero': type=INT; required=False; default=0

**Type constraints:**

* changed 'T': added types: ['tensor(float4e2m1)', 'tensor(float8e4m3fn)', 'tensor(float8e4m3fnuz)', 'tensor(float8e5m2)', 'tensor(float8e5m2fnuz)', 'tensor(float8e8m0)', 'tensor(int2)', 'tensor(int4)', 'tensor(uint2)', 'tensor(uint4)']

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

- :doc:`Version 13 <Reshape-13>`