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公开(公告)号:US11823043B2
公开(公告)日:2023-11-21
申请号:US16688602
申请日:2019-11-19
摘要: Aspects described herein provide a method of processing data in a machine learning model, including: receiving first domain input data; transforming the first domain input data to second domain input data via a domain transformation function; providing the second domain input data to a first layer of a machine learning model; processing the second domain input data in the first layer of the machine learning model according to a set of layer weights; and outputting second domain output data from the first layer of the machine learning model.
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公开(公告)号:US12086636B2
公开(公告)日:2024-09-10
申请号:US17463393
申请日:2021-08-31
CPC分类号: G06F9/5027 , G06F8/433 , G06F8/445 , G06F9/4881
摘要: Certain aspects of the present disclosure provide techniques for generating execution schedules, comprising receiving a data flow graph for a process, where data flow graph comprises a plurality of nodes and a plurality of edge; generating a topological ordering for the data flow graph based at least in part on memory utilization of the process; generating a first modified topological ordering by inserting, into the topological ordering, one or more new nodes corresponding to memory access based on a predefined memory capacity; allocating units of memory in the memory based on the first modified topological ordering; and generating a second modified topological ordering by rearranging one or more nodes in the first modified topological ordering, where the second modified topological ordering enables increased parallel utilization of a plurality of hardware components.
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