(l-onnx-doc-BitwiseXor)=

# BitwiseXor


(l-onnx-op-bitwisexor-18)=

## BitwiseXor - 18

### Version

- **name**: [BitwiseXor (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#BitwiseXor)
- **domain**: `main`
- **since_version**: `18`
- **function**: `False`
- **support_level**: `SupportType.COMMON`
- **shape inference**: `True`

This version of the operator has been available
**since version 18**.

### Summary

Returns the tensor resulting from performing the bitwise `xor` operation
elementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).

This operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [Broadcasting in ONNX](https://github.com/onnx/onnx/blob/main/docs/Broadcasting.md).

### Inputs

- **A** (heterogeneous) - **T**:

  First input operand for the bitwise operator.
- **B** (heterogeneous) - **T**:

  Second input operand for the bitwise operator.

### Outputs

- **C** (heterogeneous) - **T**:

  Result tensor.

### Type Constraints

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

  Constrain input to integer tensors.