Intel Corporation
TECHNIQUES TO DETECT FUSIBLE OPERATORS WITH MACHINE LEARNING

Last updated:

Abstract:

Various embodiments are generally directed to techniques to detect fusible operators with machine learning, such as by evaluating a set of operators in a graph of a machine learning model to identify fusion candidates comprising subgraphs of the graph with two or more operators to combine, for instance. Some embodiments are particularly directed to utilizing a machine learning classifier to evaluate fusion candidates using a set of features of the fusion candidate.

Status:
Application
Type:

Utility

Filling date:

28 Jan 2019

Issue date:

11 Nov 2021