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.. _op_ai_onnx_Squeeze-11:

Squeeze - version 11
====================

This page documents version **11** of operator **Squeeze**. See :doc:`Squeeze` for the latest version (since version 25).

- **Domain**: ``ai.onnx``
- **Since version**: 11

Remove single-dimensional entries from the shape of a tensor.
Takes a  parameter ``axes`` with a list of axes to squeeze.
If ``axes`` is not provided, all the single dimensions will be removed from
the shape. If an axis is selected with shape entry not equal to one, an error is raised.

**Inputs**

- **data** (*T*): Tensors with at least max(dims) dimensions.

**Outputs**

- **squeezed** (*T*): Reshaped tensor with same data as input.

**Attributes**

- **axes** (*int[]*): List of integers indicating the dimensions to squeeze. Negative value means counting dimensions from the back. Accepted range is [-r, r-1] where r = rank(data).

**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).

Differences with previous version (1)
-------------------------------------

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

* old version: 1
* new version: 11
* breaking: no