.. _op_ai_onnx_Selu:

Selu
====

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

Selu takes one input data (Tensor ) and produces one output data
(Tensor ) where the scaled exponential linear unit function,
``y = gamma * (alpha * e^x - alpha) for x   0``,
is applied to the tensor elementwise.

**Inputs**

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

**Outputs**

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

**Attributes**

- **alpha** (*float*): Coefficient of SELU default to 1.67326319217681884765625 (i.e., float32 approximation of 1.6732632423543772848170429916717).
- **gamma** (*float*): Coefficient of SELU default to 1.05070102214813232421875 (i.e., float32 approximation of 1.0507009873554804934193349852946).

**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**: ``Selu`` (domain ``'ai.onnx'``)

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

**Type constraints:**

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

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

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