.. _op_ai_onnx_Elu:

Elu
===

- **Domain**: ``ai.onnx``
- **Since version**: 22

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(bfloat16), tensor(double), tensor(float), tensor(float16).

Differences with previous version (6)
-------------------------------------

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

* old version: 6
* new version: 22
* breaking: no

**Type constraints:**

* changed 'T': added types: ['tensor(bfloat16)']

Version History
---------------

- :doc:`Version 6 <Elu-6>`
- :doc:`Version 1 <Elu-1>`