- 专利标题: Architecture to support tanh and sigmoid operations for inference acceleration in machine learning
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申请号: US17223921申请日: 2021-04-06
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公开(公告)号: US11966857B2公开(公告)日: 2024-04-23
- 发明人: Avinash Sodani , Ulf Hanebutte , Chia-Hsin Chen
- 申请人: Marvell Asia Pte, Ltd.
- 申请人地址: SG Singapore
- 专利权人: Marvell Asia Pte Ltd
- 当前专利权人: Marvell Asia Pte Ltd
- 当前专利权人地址: SG Singapore
- 主分类号: G06N5/04
- IPC分类号: G06N5/04 ; G06F9/50 ; G06F17/16 ; G06N20/00
摘要:
A processing unit to support inference acceleration for machine learning (ML) comprises an inline post processing unit configured to accept and maintain one or more lookup tables for performing a tanh and/or sigmoid operation/function. The inline post processing unit is further configured to accept data from a set of registers configured to maintain output from a processing block instead of streaming the data from an on-chip memory (OCM), perform the tanh and/or sigmoid operation on each element of the data from the processing block on a per-element basis via the one or more lookup tables, and stream post processing result of the per-element tanh and/or sigmoid operation back to the OCM after the tanh and/or sigmoid operation is complete.
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