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

Graiphic · 2025-10-30

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

5D

Description

Retrieve Mono 5D Output Data (Bool, Int/UInt, Float, or String) (Training Session). Type : polymorphic.

Input parameters

Training in : object, training session.

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).