LogicalXor
LogicalXor#
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
Attributes:
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
Inputs
1: A tensor of type T and arbitrary shape. Required.
2: A tensor of type T and arbitrary shape. Required.
Outputs
1: The result of element-wise LogicalXor operation. A tensor of type T and the same shape equal to broadcasted shape of two inputs.
Types
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.