Method, product, and apparatus for a machine learning process leveraging input sparsity on a pixel by pixel basis
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United States of America Patent
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Jun 13, 2023
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app pub date -
Jun 30, 2020
filing date -
Jun 30, 2020
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Abstract
An approach includes a method, product, and apparatus for dynamically removing sparse data on a pixel by pixel basis. In some embodiments, a machine learning processing job is received. The machine learning processing job is then executed on a pixel by pixel basis by selecting non-zero data values for input into a systolic array, wherein sparse data is not selected for input into the systolic array. Subsequently, a message is generated that provides an indication of whether the execution completed successfully. In some embodiments, the machine learning processing job comprises at least a plurality of multiply and accumulate operations. In some embodiments, at least one data value equal to zero for the machine learning processing job is not input into a systolic array. In some embodiments, a plurality of weights are input into a plurality of columns for each cycle.
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