HARDWARE ACCELERATED NEURAL NETWORK SUBGRAPHS

HARDWARE ACCELERATED NEURAL NETWORK SUBGRAPHS

Technology related to hardware accelerated neural network subgraphs is disclosed. In one example of the disclosed technology, a method for compiling a neural network model is disclosed. The method includes identifying a subgraph of the neural network model to partition from the neural network model....

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: El Husseini, Ahmad Mahdi, Reinhardt, Steven K, Rapsang, Amanda Grace, van Megen, Friedel, Boehn, Christian
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:Technology related to hardware accelerated neural network subgraphs is disclosed. In one example of the disclosed technology, a method for compiling a neural network model is disclosed. The method includes identifying a subgraph of the neural network model to partition from the neural network model. An interface can be inserted between the neural network model and a partitioned version of the identified subgraph. The partitioned version can be adapted to be evaluated with a neural network accelerator. The identified subgraph can be compiled to the neural network accelerator to generate configuration information for the neural network accelerator. The neural network accelerator can be configured with the configuration information to provide an accelerated version of the subgraph.