:nosearch:

.. _op_ai_onnx_LeakyRelu-6:

LeakyRelu - version 6
=====================

This page documents version **6** of operator **LeakyRelu**. See :doc:`LeakyRelu` for the latest version (since version 16).

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

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

**Inputs**

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

**Outputs**

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

**Attributes**

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

**Type Constraints**

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

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

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

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