PRelu - version 9#

This page documents version 9 of operator PRelu. See 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)’]