Intel Corporation
TECHNIQUES TO DETECT FUSIBLE OPERATORS WITH MACHINE LEARNING
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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