Versioned name: LessEqual-1
Category: Comparison binary
Short description: LessEqual performs element-wise comparison operation with two given tensors applying broadcast rules specified in the auto_broadcast attribute.
OpenVINO description: This OP is as same as OpenVINO OP
Description: specifies rules used for auto-broadcasting of input tensors.
- Range of values:
none - no auto-broadcasting is allowed, all input shapes should match
numpy - numpy broadcasting rules, description is available in ONNX docs
Default value: “numpy”
1: A tensor of type T1 and arbitrary shape. Required.
2: A tensor of type T1 and arbitrary shape. Required.
1: The result of element-wise LessEqual operation applied to the input tensors. A tensor of type T2 and shape equal to broadcasted shape of two inputs.
T1: f32, f16, bf16.
Detailed description Before performing arithmetic operation, input tensors a and b are broadcasted if their shapes are different and auto_broadcast attribute is not none. Broadcasting is performed according to auto_broadcast value.
After broadcasting, LessEqual does the following with the input tensors a and b: