.. _l-onnx-op-add-d13-14:

Add - 13 vs 14
==============

Next section compares an older to a newer version of the same operator 
after both definition are converted into markdown text.
Green means an addition to the newer version, red means a deletion.
Anything else is unchanged.

.. raw:: html


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    --- a/Add13
    +++ b/Add14
    @@ -1 +1 @@
      Performs element-wise binary addition (with Numpy-style broadcasting support).
  
      This operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [Broadcasting in ONNX](https://github.com/onnx/onnx/blob/main/docs/Broadcasting.md).
    + 
    + (Opset 14 change): Extend supported types to include uint8, int8, uint16, and int16.
  
      ### Inputs
  
      - **A** (heterogeneous) - **T**:
  
        First operand.
      - **B** (heterogeneous) - **T**:
  
        Second operand.
  
      ### Outputs
  
      - **C** (heterogeneous) - **T**:
  
        Result, has same element type as two inputs
  
      ### Type Constraints
  
    - * **T** in ( tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) ):
    + * **T** in ( tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ):
    ?                                                                                          +++++++++++++++                           ++++++++++++++++++++++++++++++                       +++++++++++++++
  
    -   Constrain input and output types to high-precision numeric tensors.?                                       ^^^^^^^^^^^^^^
    +   Constrain input and output types to all numeric tensors.?                                       ^^^

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