.. _l-onnx-doc-Affine:

======
Affine
======

.. contents::
    :local:


.. _l-onnx-op-affine-1:

Affine - 1
==========

**Version**

* **name**: `Affine (GitHub) <https://github.com/onnx/onnx/blob/main/docs/Operators.md#Affine>`_
* **domain**: **main**
* **since_version**: **1**
* **function**:
* **support_level**:
* **shape inference**:

This version of the operator has been available
**since version 1**.

**Summary**

Affine takes one input data (Tensor<T>) and produces one output data
(Tensor<T>) where the affine function, y = alpha * x + beta,
is applied to the tensor elementwise.

**Attributes**

* **alpha**:
  Value of alpha Default value is ``?``.
* **beta**:
  Value of beta Default value is ``?``.

**Inputs**

* **X** (heterogeneous) - **T**:
  1D input tensor

**Outputs**

* **Y** (heterogeneous) - **T**:
  1D output tensor

**Examples**