:nosearch:

.. _op_ai_onnx_PRelu-9:

PRelu - version 9
=================

This page documents version **9** of operator **PRelu**. See :doc:`PRelu` for the latest version (since version 16).

- **Domain**: ``ai.onnx``
- **Since version**: 9

PRelu takes input data (Tensor ) and slope tensor as input, and produces one
output data (Tensor ) where the function ``f(x) = slope * x for x  = 0``., is applied to the data tensor elementwise.

**Inputs**

- **X** (*T*): Input tensor
- **slope** (*T*): Slope tensor. The shape of slope can be smaller than first input X; if so, its shape must be unidirectional broadcastable to X

**Outputs**

- **Y** (*T*): Output tensor (same size as X)

**Type Constraints**

- **T**: Constrain input and output types to float/int tensors.
  Allowed types: tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64).

Differences with previous version (7)
-------------------------------------

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

* old version: 7
* new version: 9
* breaking: no

**Type constraints:**

* changed 'T': added types: ['tensor(int32)', 'tensor(int64)', 'tensor(uint32)', 'tensor(uint64)']