.. _op_ai_onnx_Greater-7:

Greater - version 7
===================

This page documents version **7** of operator **Greater**. See :doc:`Greater` for the latest version (since version 13).

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

Returns the tensor resulted from performing the ``Greater`` 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 float tensors.
  Allowed types: tensor(double), tensor(float), tensor(float16).
- **T1**: Constrain output to boolean tensor.
  Allowed types: tensor(bool).

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

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

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

**Documentation:**

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

.. code-block:: diff

    --- Greater v1
    +++ Greater v7
    @@ -1,7 +1,3 @@
     
     Returns the tensor resulted from performing the `Greater` 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).