Methods and apparatus for tensor object support in machine learning workloads

The present disclosure relates to methods and devices for graphics processing including an apparatus, e.g., a GPU. The apparatus may modify at least one texture memory object to support a data structure for one or more tensor objects. The apparatus may also determine one or more supported memory lay...

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Bibliographische Detailangaben
Hauptverfasser:	KAMENETSKAYA, ELINA, CALIDAS, BALAJI, GRUBER, ANDREW EVAN, LI, LIANG, LEGER, JEFFREY, ZHANG, RUIHAO
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS
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Beschreibung
Zusammenfassung:	The present disclosure relates to methods and devices for graphics processing including an apparatus, e.g., a GPU. The apparatus may modify at least one texture memory object to support a data structure for one or more tensor objects. The apparatus may also determine one or more supported memory layouts for the one or more tensor objects based on the modified at least one texture memory object. Additionally, the apparatus may access data associated with the one or more tensor objects based on the one or more supported memory layouts, the data for each of the one or more tensor objects corresponding to at least one data instruction. The apparatus may also execute the at least one data instruction based on the accessed data associated with the one or more tensor objects.