Get all training status

Deep Learning Toolkit / Architecture / Get & Set / Get / Layer / Training Status

All

Public technical reference documentation from Graiphic. For current SOTA installation and toolkit guides, visit the documentation center.

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.
Documentation illustration (illustration unavailable in the archive).

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.
Documentation illustration (illustration unavailable in the archive). training_status : boolean, returns the training status.

Documentation illustration (illustration unavailable in the archive).

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 “Get All Train Status” function

Documentation illustration (illustration unavailable in the archive).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.