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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		
 2D
Description
Retrieve Mono 2D Output Data (Bool, Int/UInt, Float, or String) (Training Session). Type : polymorphic.
 
			Input parameters
 Β Training inΒ :Β object,Β training session.
Β Training inΒ :Β object,Β training session.
Output parameters
 Β Training outΒ :Β object,Β training session.
Β Training outΒ :Β object,Β training session. Β 2D Output Data : array,Β 2D array of data with any type : integers (signed/unsigned), floats, doubles, booleans, or strings.β
Β 2D Output Data : array,Β 2D array of data with any type : integers (signed/unsigned), floats, doubles, booleans, or strings.β
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).
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