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FLEXIBLE ACCELERATOR FOR SPARSE TENSORS (FAST) IN MACHINE LEARNING
FLEXIBLE ACCELERATOR FOR SPARSE TENSORS (FAST) IN MACHINE LEARNING
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机译:机器学习中稀疏张量(快速)的柔性加速器
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摘要
An apparatus includes a first tensor compute cluster configured to receive first input feature tensors, a second tensor compute cluster configured to receive second input feature tensors more sparse than the first input feature tensors, and a vector accelerator. The apparatus also includes circuitry configured to partition an input feature map into a plurality of input feature tensors based on a compression criteria and assign each of the plurality of input feature tensors to one of the first tensor compute cluster, the second tensor compute cluster, or the vector accelerator based upon at least one of parameters including a sparsity and an optimization parameter.
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