.. _l-onnx-op-equal-d11-19:

Equal - 11 vs 19
================

Next section compares an older to a newer version of the same operator 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/Equal11
    +++ b/Equal19
    @@ -1 +1 @@
      Returns the tensor resulted from performing the equal logical operation
      elementwise on the input tensors A and B (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).
  
      ### Inputs
  
      - **A** (heterogeneous) - **T**:
  
        First input operand for the logical operator.
      - **B** (heterogeneous) - **T**:
  
        Second input operand for the logical operator.
  
      ### Outputs
  
      - **C** (heterogeneous) - **T1**:
  
        Result tensor.
  
      ### Type Constraints
  
    - * **T** in ( tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ):
    + * **T** in ( tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ):
    ?             ++++++++++++++++++                                                                                                                                 ++++++++++++++++
  
    -   Constrain input types to all numeric tensors.
    ?                                 ^  ^^^
    +   Constrain input types to all (non-complex) tensors.
    ?                                + ^^^^^ ++ ^^
      * **T1** in ( tensor(bool) ):
  
        Constrain output to boolean tensor.
    `;

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