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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
Get all inputs layers shape
Description
Gets the input form of the model.
 
			Input parameters
 Model in : model architecture.
 Model in : model architecture.
Output parameters
 Model out : model architecture.
 Model out : model architecture.
 input : cluster
 input : cluster
 name : string, name of layer.
 name : string, name of layer. index : integer, index of layer.
 index : integer, index of layer. input_order : integer, order of entry.
 input_order : integer, order of entry. Β input_shape : array, size of the input.
Β input_shape : array, size of the input.
 
			 input_array : array
 input_array : array
 name : string, name of layer.
 name : string, name of layer. index : integer, index of layer.
 index : integer, index of layer. input_order : integer, order of entry.
 input_order : integer, order of entry. Β input_shape : array, size of the input.
Β input_shape : array, size of the input.
 
			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 Input Layer Shapeβ function
 
			1 – Define Graph
We define two graphs with two dense layers each and an input of different size.
2 – Merge Function
We use the “Merge” function to merge the two graphs.
3 – Get Function
We use the function “Get All Input Layer Shape” to get the input(s) form of the model.
