(l-onnx-doc-Squeeze)=

# Squeeze


(l-onnx-op-squeeze-23)=

## Squeeze - 23

### Version

- **name**: [Squeeze (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Squeeze)
- **domain**: `main`
- **since_version**: `23`
- **function**: `False`
- **support_level**: `SupportType.COMMON`
- **shape inference**: `True`

This version of the operator has been available
**since version 23**.

### Summary

Remove single-dimensional entries from the shape of a tensor.
Takes an input `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

Between 1 and 2 inputs.

- **data** (heterogeneous) - **T**:

  Tensors with at least max(dims) dimensions.
- **axes** (optional, heterogeneous) - **tensor(int64)**:

  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).

### Outputs

- **squeezed** (heterogeneous) - **T**:

  Reshaped tensor with same data as input.

### Type Constraints

* **T** in ( `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(int16)`, `tensor(int32)`, `tensor(int4)`, `tensor(int64)`, `tensor(int8)`, `tensor(string)`, `tensor(uint16)`, `tensor(uint32)`, `tensor(uint4)`, `tensor(uint64)`, `tensor(uint8)` ):

  Constrain input and output types to all tensor types up to IRv11.

```{toctree}
text_diff_Squeeze_21_23
```

(l-onnx-op-squeeze-21)=

## Squeeze - 21

### Version

- **name**: [Squeeze (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Squeeze)
- **domain**: `main`
- **since_version**: `21`
- **function**: `False`
- **support_level**: `SupportType.COMMON`
- **shape inference**: `True`

This version of the operator has been available
**since version 21**.

### Summary

Remove single-dimensional entries from the shape of a tensor.
Takes an input `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

Between 1 and 2 inputs.

- **data** (heterogeneous) - **T**:

  Tensors with at least max(dims) dimensions.
- **axes** (optional, heterogeneous) - **tensor(int64)**:

  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).

### Outputs

- **squeezed** (heterogeneous) - **T**:

  Reshaped tensor with same data as input.

### Type Constraints

* **T** in ( `tensor(bfloat16)`, `tensor(bool)`, `tensor(complex128)`, `tensor(complex64)`, `tensor(double)`, `tensor(float)`, `tensor(float16)`, `tensor(float8e4m3fn)`, `tensor(float8e4m3fnuz)`, `tensor(float8e5m2)`, `tensor(float8e5m2fnuz)`, `tensor(int16)`, `tensor(int32)`, `tensor(int4)`, `tensor(int64)`, `tensor(int8)`, `tensor(string)`, `tensor(uint16)`, `tensor(uint32)`, `tensor(uint4)`, `tensor(uint64)`, `tensor(uint8)` ):

  Constrain input and output types to all tensor types up to IRv10.

```{toctree}
text_diff_Squeeze_13_23
text_diff_Squeeze_13_21
```

(l-onnx-op-squeeze-13)=

## Squeeze - 13

### Version

- **name**: [Squeeze (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Squeeze)
- **domain**: `main`
- **since_version**: `13`
- **function**: `False`
- **support_level**: `SupportType.COMMON`
- **shape inference**: `True`

This version of the operator has been available
**since version 13**.

### Summary

Remove single-dimensional entries from the shape of a tensor.
Takes an input `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

Between 1 and 2 inputs.

- **data** (heterogeneous) - **T**:

  Tensors with at least max(dims) dimensions.
- **axes** (optional, heterogeneous) - **tensor(int64)**:

  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).

### Outputs

- **squeezed** (heterogeneous) - **T**:

  Reshaped tensor with same data as input.

### Type Constraints

* **T** in ( `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)` ):

  Constrain input and output types to all tensor types.

```{toctree}
text_diff_Squeeze_11_23
text_diff_Squeeze_11_21
text_diff_Squeeze_11_13
```

(l-onnx-op-squeeze-11)=

## Squeeze - 11

### Version

- **name**: [Squeeze (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Squeeze)
- **domain**: `main`
- **since_version**: `11`
- **function**: `False`
- **support_level**: `SupportType.COMMON`
- **shape inference**: `True`

This version of the operator has been available
**since version 11**.

### Summary

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.

### Attributes

* **axes - INTS** :

  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).

### Inputs

- **data** (heterogeneous) - **T**:

  Tensors with at least max(dims) dimensions.

### Outputs

- **squeezed** (heterogeneous) - **T**:

  Reshaped tensor with same data as input.

### Type Constraints

* **T** in ( `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)` ):

  Constrain input and output types to all tensor types.

```{toctree}
text_diff_Squeeze_1_23
text_diff_Squeeze_1_21
text_diff_Squeeze_1_13
text_diff_Squeeze_1_11
```

(l-onnx-op-squeeze-1)=

## Squeeze - 1

### Version

- **name**: [Squeeze (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Squeeze)
- **domain**: `main`
- **since_version**: `1`
- **function**: `False`
- **support_level**: `SupportType.COMMON`
- **shape inference**: `True`

This version of the operator has been available
**since version 1**.

### Summary

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.

### Attributes

* **axes - INTS** :

  List of non-negative integers, indicate the dimensions to squeeze.

### Inputs

- **data** (heterogeneous) - **T**:

  Tensors with at least max(dims) dimensions.

### Outputs

- **squeezed** (heterogeneous) - **T**:

  Reshaped tensor with same data as input.

### Type Constraints

* **T** in ( `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)` ):

  Constrain input and output types to all tensor types.