:nosearch:

.. _op_ai_onnx_PRelu-1:

PRelu - version 1
=================

This page documents version **1** of operator **PRelu**. See :doc:`PRelu` for the latest version (since version 16).

- **Domain**: ``ai.onnx``
- **Since version**: 1

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. If ``Slope`` is of size 1, the value is sharedacross different channels

**Outputs**

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

**Attributes**

- **consumed_inputs** (*int[]*): legacy optimization attribute.

**Type Constraints**

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