Versioned name: LogicalXor-1

Category: Logical binary

Short description: LogicalXor performs element-wise logical XOR operation with two given tensors applying multi-directional broadcast rules.

OpenVINO description: This OP is as same as OpenVINO OP


  • auto_broadcast

    • Description: specifies rules used for auto-broadcasting of input tensors.

    • Range of values:
      • none - no auto-broadcasting is allowed, all input shapes must match,

      • numpy - numpy broadcasting rules, description is available in ONNX docs

    • Type: string

    • Default value: “numpy”

    • Required: no

Mathematical Formulation

\[o_{i} = a_{i} \oplus b_{i}\]


  • 1: A tensor of type T and arbitrary shape. Required.

  • 2: A tensor of type T and arbitrary shape. Required.


  • 1: The result of element-wise LogicalXor operation. A tensor of type T and the same shape equal to broadcasted shape of two inputs.


  • T: boolean.

Detailed description: Before performing logical operation, input tensors a and b are broadcasted if their shapes are different and auto_broadcast attributes is not none. Broadcasting is performed according to auto_broadcast value.