Versioned name: GreaterEqual-1

Category: Comparison binary

Short description: GreaterEqual 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


  • auto_broadcast

    • 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

    • Type: string

    • Default value: “numpy”

    • Required: no


  • 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 GreaterEqual operation applied to the input tensors. A tensor of type T2 and shape equal to broadcasted shape of two inputs.


  • T1: f32, f16, bf16.

  • T2: boolean.

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, GreaterEqual does the following with the input tensors a and b:

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