MeanTensor

Public technical reference documentation from Graiphic. For current SOTA installation and toolkit guides, visit the documentation center.

Description

Computes the element-wise mean of the given tensors. Type : polymorphic.

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Input parameters

tensor1 : array, values of the first tensor.
tensor2 : array, values of the second tensor.

Output parameters

mean_tensor : float, result.

Calculation

The MeanTensor function calculates the element-by-element average of two tensors with the same shape.

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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

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