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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
		UpdatedJune 8, 2023		
 MeanTensor
Description
Computes the element-wise mean of the given tensors. Type : polymorphic.

Input parameters
 Β tensor1 : array, values of the first tensor.
Β tensor1 : array, values of the first tensor. Β tensor2 : array, values of the second tensor.
Β tensor2 : array, values of the second tensor.
Output parameters
 mean_tensor : float, result.
 mean_tensor : float, result.
Calculation
The MeanTensor function calculates the element-by-element average of two tensors with the same shape.
 
			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).
Easy to use
 
			Table of Contents
