(l-onnx-doc-CastLike)=

# CastLike


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

## CastLike - 23

### Version

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

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

### Summary

The operator casts the elements of a given input tensor (the first input) to
the same data type as the elements of the second input tensor.
See documentation of the Cast operator for further details.

### Attributes

* **saturate - INT** (default is `'1'`):

  The parameter defines how the conversion behaves if an input value is out of range of the destination type. It only applies for float 8 conversion (float8e4m3fn, float8e4m3fnuz, float8e5m2, float8e5m2fnuz). It is true by default. Please refer to operator Cast description for further details.

### Inputs

- **input** (heterogeneous) - **T1**:

  Input tensor to be cast.
- **target_type** (heterogeneous) - **T2**:

  The (first) input tensor will be cast to produce a tensor of the same type as this (second input) tensor.

### Outputs

- **output** (heterogeneous) - **T2**:

  Output tensor produced by casting the first input tensor to have the same type as the second input tensor.

### Type Constraints

* **T1** in ( `tensor(bfloat16)`, `tensor(bool)`, `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 types. Casting from complex is not supported.
* **T2** in ( `tensor(bfloat16)`, `tensor(bool)`, `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 output types. Casting to complex is not supported.

```{toctree}
text_diff_CastLike_21_23
```

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

## CastLike - 21

### Version

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

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

### Summary

The operator casts the elements of a given input tensor (the first input) to
the same data type as the elements of the second input tensor.
See documentation of the Cast operator for further details.

### Attributes

* **saturate - INT** (default is `'1'`):

  The parameter defines how the conversion behaves if an input value is out of range of the destination type. It only applies for float 8 conversion (float8e4m3fn, float8e4m3fnuz, float8e5m2, float8e5m2fnuz). It is true by default. Please refer to operator Cast description for further details.

### Inputs

- **input** (heterogeneous) - **T1**:

  Input tensor to be cast.
- **target_type** (heterogeneous) - **T2**:

  The (first) input tensor will be cast to produce a tensor of the same type as this (second input) tensor.

### Outputs

- **output** (heterogeneous) - **T2**:

  Output tensor produced by casting the first input tensor to have the same type as the second input tensor.

### Type Constraints

* **T1** in ( `tensor(bfloat16)`, `tensor(bool)`, `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 types. Casting from complex is not supported.
* **T2** in ( `tensor(bfloat16)`, `tensor(bool)`, `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 output types. Casting to complex is not supported.

```{toctree}
text_diff_CastLike_19_23
text_diff_CastLike_19_21
```

(l-onnx-op-castlike-19)=

## CastLike - 19

### Version

- **name**: [CastLike (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#CastLike)
- **domain**: `main`
- **since_version**: `19`
- **function**: `True`
- **support_level**: `SupportType.COMMON`
- **shape inference**: `True`

This version of the operator has been available
**since version 19**.

### Summary

The operator casts the elements of a given input tensor (the first input) to
the same data type as the elements of the second input tensor.
See documentation of the Cast operator for further details.

### Attributes

* **saturate - INT** (default is `'1'`):

  The parameter defines how the conversion behaves if an input value is out of range of the destination type. It only applies for float 8 conversion (float8e4m3fn, float8e4m3fnuz, float8e5m2, float8e5m2fnuz). It is true by default. Please refer to operator Cast description for further details.

### Inputs

- **input** (heterogeneous) - **T1**:

  Input tensor to be cast.
- **target_type** (heterogeneous) - **T2**:

  The (first) input tensor will be cast to produce a tensor of the same type as this (second input) tensor.

### Outputs

- **output** (heterogeneous) - **T2**:

  Output tensor produced by casting the first input tensor to have the same type as the second input tensor.

### Type Constraints

* **T1** in ( `tensor(bfloat16)`, `tensor(bool)`, `tensor(double)`, `tensor(float)`, `tensor(float16)`, `tensor(float8e4m3fn)`, `tensor(float8e4m3fnuz)`, `tensor(float8e5m2)`, `tensor(float8e5m2fnuz)`, `tensor(int16)`, `tensor(int32)`, `tensor(int64)`, `tensor(int8)`, `tensor(string)`, `tensor(uint16)`, `tensor(uint32)`, `tensor(uint64)`, `tensor(uint8)` ):

  Constrain input types. Casting from complex is not supported.
* **T2** in ( `tensor(bfloat16)`, `tensor(bool)`, `tensor(double)`, `tensor(float)`, `tensor(float16)`, `tensor(float8e4m3fn)`, `tensor(float8e4m3fnuz)`, `tensor(float8e5m2)`, `tensor(float8e5m2fnuz)`, `tensor(int16)`, `tensor(int32)`, `tensor(int64)`, `tensor(int8)`, `tensor(string)`, `tensor(uint16)`, `tensor(uint32)`, `tensor(uint64)`, `tensor(uint8)` ):

  Constrain output types. Casting to complex is not supported.

```{toctree}
text_diff_CastLike_15_23
text_diff_CastLike_15_21
text_diff_CastLike_15_19
```

(l-onnx-op-castlike-15)=

## CastLike - 15

### Version

- **name**: [CastLike (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#CastLike)
- **domain**: `main`
- **since_version**: `15`
- **function**: `True`
- **support_level**: `SupportType.COMMON`
- **shape inference**: `True`

This version of the operator has been available
**since version 15**.

### Summary

The operator casts the elements of a given input tensor (the first input) to
the same data type as the elements of the second input tensor.
See documentation of the Cast operator for further details.

### Inputs

- **input** (heterogeneous) - **T1**:

  Input tensor to be cast.
- **target_type** (heterogeneous) - **T2**:

  The (first) input tensor will be cast to produce a tensor of the same type as this (second input) tensor.

### Outputs

- **output** (heterogeneous) - **T2**:

  Output tensor produced by casting the first input tensor to have the same type as the second input tensor.

### Type Constraints

* **T1** in ( `tensor(bfloat16)`, `tensor(bool)`, `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 types. Casting from complex is not supported.
* **T2** in ( `tensor(bfloat16)`, `tensor(bool)`, `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 output types. Casting to complex is not supported.