:nosearch:

.. _op_ai_onnx_Elu-6:

Elu - version 6
===============

This page documents version **6** of operator **Elu**. See :doc:`Elu` for the latest version (since version 22).

- **Domain**: ``ai.onnx``
- **Since version**: 6

Elu takes one input data (Tensor ) and produces one output data
(Tensor ) where the function ``f(x) = alpha * (exp(x) - 1.) for x  = 0``., is applied to the tensor elementwise.

**Inputs**

- **X** (*T*): Input tensor

**Outputs**

- **Y** (*T*): Output tensor

**Attributes**

- **alpha** (*float*): Coefficient of ELU.

**Type Constraints**

- **T**: Constrain input and output types to float tensors.
  Allowed types: tensor(double), tensor(float), tensor(float16).

Examples
--------

**test_cc_elu**

.. code-block:: text

    Node:
      Elu(X) -> (Y)
      Attributes:
        alpha = 2.0

.. code-block:: text

    Inputs:
      X: shape=(2, 3), dtype=float32
        [[-2. , -1. , -0.5],
         [ 0.5,  1. ,  2. ]]

    Outputs:
      Y: shape=(2, 3), dtype=float32
        [[-1.7293295 , -1.2642411 , -0.78693867],
         [ 0.5       ,  1.        ,  2.        ]]

**test_cc_elu_bfloat16**

.. code-block:: text

    Node:
      Elu(X) -> (Y)
      Attributes:
        alpha = 1.0

.. code-block:: text

    Inputs:
      X: shape=(2, 3), dtype=bfloat16
        [[-2, -1, -0.5],
         [0.5, 1, 2]]

    Outputs:
      Y: shape=(2, 3), dtype=bfloat16
        [[-0.863281, -0.632812, -0.392578],
         [0.5, 1, 2]]

**test_cc_elu_default**

.. code-block:: text

    Node:
      Elu(X) -> (Y)

.. code-block:: text

    Inputs:
      X: shape=(2, 3), dtype=float32
        [[-2. , -1. , -0.5],
         [ 0.5,  1. ,  2. ]]

    Outputs:
      Y: shape=(2, 3), dtype=float32
        [[-0.86466473, -0.63212055, -0.39346933],
         [ 0.5       ,  1.        ,  2.        ]]

**test_cc_elu_example**

.. code-block:: text

    Node:
      Elu(X) -> (Y)
      Attributes:
        alpha = 2.0

.. code-block:: text

    Inputs:
      X: shape=(3,), dtype=float32
        [-1.,  0.,  1.]

    Outputs:
      Y: shape=(3,), dtype=float32
        [-1.2642411,  0.       ,  1.       ]

**test_cc_elu_float16**

.. code-block:: text

    Node:
      Elu(X) -> (Y)
      Attributes:
        alpha = 2.0

.. code-block:: text

    Inputs:
      X: shape=(2, 3), dtype=float16
        [[-2. , -1. , -0.5],
         [ 0.5,  1. ,  2. ]]

    Outputs:
      Y: shape=(2, 3), dtype=float16
        [[-1.7295, -1.265 , -0.787 ],
         [ 0.5   ,  1.    ,  2.    ]]

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

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

* old version: 1
* new version: 6
* breaking: no