Forum
Login
Register

Welcome to our Support Center
UpdatedNovember 3, 2025

PReLU 2D

Description

Gets the weights of the PReLU2D selected by the index. Type : polymorphic.

 

Input parameters

 

Β Model in :Β model architecture.
Β index :Β integer,Β index of layer.

 

Output parameters

 

Β Model out :Β model architecture.

Β weights_info : cluster

Β index :Β integer,Β index of layer.
Β name :Β string,Β name of layer.
Β weights : cluster

Β alpha :Β array,Β 1D values. alpha = [input_dim].

Dimension

  • alpha = [input_dim]

Its size depends on the input of theΒ PReLUΒ layer.
For example, if the layer has an entry [batch_size = 10, input_dim = 5] then alpha will have a size [input_dim = 5].
The size can also depend on the β€œshared_axis” parameter that you set to theΒ PReLUΒ layer. Each axis specified in this param is represented by a 1 in the weights.
For example, if you set the parameter with the values [1], alpha will have a size [1].

Example

All these exemples are snippets PNG, you can drop these Snippet onto the block diagram and get the depicted code added to your VI (Do not forget to install Deep Learning library to run it).

Table of Contents