.. _op_ai_onnx_Equal-7:

Equal - version 7
=================

This page documents version **7** of operator **Equal**. See :doc:`Equal` for the latest version (since version 19).

- **Domain**: ``ai.onnx``
- **Since version**: 7

Returns the tensor resulted from performing the ``Equal`` logical operation
elementwise on the input tensors ``A`` and ``B`` (with Numpy-style broadcasting support).

**Inputs**

- **A** (*T*): First input operand for the logical operator.
- **B** (*T*): Second input operand for the logical operator.

**Outputs**

- **C** (*T1*): Result tensor.

**Type Constraints**

- **T**: Constrain input to integral tensors.
  Allowed types: tensor(bool), tensor(int32), tensor(int64).
- **T1**: Constrain output to boolean tensor.
  Allowed types: tensor(bool).

Differences with previous version (1)
-------------------------------------

**SchemaDiff**: ``Equal`` (domain ``'ai.onnx'``)

* old version: 1
* new version: 7
* breaking: no

**Documentation:**

* line similarity: 0.40 (+1/-5 lines)

.. code-block:: diff

    --- Equal v1
    +++ Equal v7
    @@ -1,7 +1,3 @@
     
     Returns the tensor resulted from performing the `Equal` logical operation
    -elementwise on the input tensors `A` and `B`.
    -
    -If broadcasting is enabled, the right-hand-side argument will be broadcasted
    -to match the shape of left-hand-side argument. See the doc of `Add` for a
    -detailed description of the broadcasting rules.
    +elementwise on the input tensors `A` and `B` (with Numpy-style broadcasting support).