5D — Deep Learning Toolkit / Runtime / Output / Training / Multi

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

5D

Description

Retrieve a 5D output tensor (Bool, Int/UInt, Float, or String) from a list of outputs, using its index (Training Session). Type : polymorphic.

Input parameters

Training in : object, training session.
index : integer, defines the position of the output within the data array. It corresponds to the index assigned to the output when it is created (via the index parameter).

Output parameters

Training out : object, training session.
5D Output Data : array, 5D array of data with any type : integers (signed/unsigned), floats, doubles, booleans, or strings.

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).