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UpdatedOctober 30, 2025

Get all training status

Description

Gets for all layers contained in the model the state of the boolean “training_status”. If the boolean is “True”, then a layer backward is performed.

Input parameters

 

Model in : model architecture.

Output parameters

 

Model out : model architecture.

training_status_array : array

index : integer, index of layer.
name : string, name of layer.
Β training_status : boolean, returns the training status.

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).

Using the β€œGet All Train Status” function

1 – Define Graph

We define the graph with one input and two Dense layers named Dense1 and Dense2 parameterized in different ways.

2 – Get Function

We use the “Get All Train Status” function to get the value of the “training?” parameter for all layers of the model.

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