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		Accelerator
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		Constant
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		Generator
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		Full Train Step
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		Eval Step
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		Train Step
		UpdatedOctober 30, 2025		
 Get training status by name
Description
Gets the boolean βtraining_statusβ of layer selected by name given as input. If the boolean is βTrueβ, then a layer backward is performed.
 
			Input parameters
 Model in : model architecture.
 Model in : model architecture.
 Β name :Β string,Β layer name.
Β name :Β string,Β layer name.
Output parameters
 Model out : model architecture.
 Model out : model architecture.
 training_status : cluster
 training_status : cluster
 index : integer, index of layer.
 index : integer, index of layer.
 name : string, name of layer.
 name : string, name of layer.
 Β training_status :Β boolean,Β returns the training status.
Β training_status :Β boolean,Β 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 βGet Train Status by nameβ 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 Train Status by name” function to get the value of the “training?” parameter of layer named Dense2.
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