Versioned name: Add-1

Category: Arithmetic

Short description: Add performs element-wise addition 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 should match

      • numpy - numpy broadcasting rules, aligned with ONNX Broadcasting. Description is available in ONNX docs.

    • Type: string

    • Default value: “numpy”

    • Required: no


  • 1: A tensor of type T. Required.

    • Type: T

  • 2: A tensor of type T. Required.

    • Type: T


  • 1: The result of element-wise addition operation.

    • Type: T


  • T: f32, f16, bf16.

  • Note: Inputs and outputs have the same data type denoted by T. For example, if input is f32 tensor, then all other tensors have f32 data type.

Detailed description:

Before performing arithmetic operation, input tensors a and b are broadcast if their shapes are different and auto_broadcast attributes is not none. Broadcasting is performed according to auto_broadcast value.

After broadcasting Add does the following with the input tensors a and b:

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