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SYSTEMS AND METHODS FOR COMPRESSING, DECOMPRESSING, AND PROCESSING DATA FOR USE BY MACHINE LEARNING MODELS

发明专利审中
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20权利要求 · 3 独立
§ Ⅰ

卷宗概要

发明人

Ali Shafiee Ardestani; Kyong Ho Lee; Harshit Khaitan; Rawan Naous; Sruthikesh Surineni

IPC 分类

G6F 12/2

CPC 分类

G6F12/23G6F12/207G6F2212/1044

Systems and methods for tensor cache compression and/or decompression are disclosed. An example method includes receiving a tensor or dynamically generated data. The example method includes compressing the tensor (or the dynamically generated data) by applying a compression scheme to values of the tensor (or dynamically generated data). The example method also includes storing a compressed tensor into a tensor cache (or compressed dynamically generated data into a respective cache). The example method includes reading the compressed tensor from the tensor cache (or the compressed dynamically generated data from the respective cache), and decompressing the compressed tensor (or compressed dynamically generated data) by applying a decompression scheme to values of the compressed tensor (or compressed dynamically generated data). The example method further includes forwarding a decompressed tensor (or decompressed dynamically generated data) to a compute unit.

原文(中文)

Systems and methods for tensor cache compression and/or decompression are disclosed. An example method includes receiving a tensor or dynamically generated data. The example method includes compressing the tensor (or the dynamically generated data) by applying a compression scheme to values of the tensor (or dynamically generated data). The example method also includes storing a compressed tensor into a tensor cache (or compressed dynamically generated data into a respective cache). The example method includes reading the compressed tensor from the tensor cache (or the compressed dynamically generated data from the respective cache), and decompressing the compressed tensor (or compressed dynamically generated data) by applying a decompression scheme to values of the compressed tensor (or compressed dynamically generated data). The example method further includes forwarding a decompressed tensor (or decompressed dynamically generated data) to a compute unit.