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		Accelerator
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		Generator
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		Train Step
		UpdatedOctober 30, 2025		
 Get weights shape by index
Description
Gets the shape of the weights of the layer selected by the index given as input.
 
			Input parameters
 Model in : model architecture.
 Model in : model architecture.
 Β index :Β integer,Β layer index.
Β index :Β integer,Β layer index.
Output parameters
 Model out : model architecture.
 Model out : model architecture.
 weight_shape : cluster
 weight_shape : cluster
 index : integer, index of layer.
 index : integer, index of layer.
 name : string, name of layer.
 name : string, name of layer.
 weights : array
 weights : array
 name : string, name of weight.
 name : string, name of weight.
 shape : array, shape of weight.
 shape : array, shape of weight.
 
			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 All Weights Shapeβ function
 
			1 – Define Graph
			We define the graph with one input and two Dense layers named Dense1 and Dense2.
2 – Set Function
We use the “Set All Random Weights” function to create random weights for all layers which have weights in the model.
3 – Get Function
We use the “Get All Weights Shape” function to get the weights shape of all layers that have them from the model.
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