Invention Grant
- Patent Title: Hybrid non-uniform convolution transform engine for deep learning applications
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Application No.: US15841733Application Date: 2017-12-14
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Publication No.: US10755169B2Publication Date: 2020-08-25
- Inventor: Pei-Kuei Tsung , Chien-Hung Lin , Yao-Sheng Wang , Po-Yu Chen
- Applicant: MediaTek Inc.
- Applicant Address: TW Hsinchu
- Assignee: MediaTek Inc.
- Current Assignee: MediaTek Inc.
- Current Assignee Address: TW Hsinchu
- Agent Tong J. Lee
- Main IPC: G06N3/063
- IPC: G06N3/063 ; G06F17/15 ; G06N3/04 ; G06N3/08 ; G06F7/544 ; G06F7/48

Abstract:
A system performs convolution operations based on an analysis of the input size. The input includes data elements and filter weights. The system includes multiple processing elements. Each processing element includes multipliers and adders, with more of the adders than the multipliers. According to at least the analysis result which indicates whether the input size matches a predetermined size, the system is operative to select a first mode or a second mode. In the first mode, a greater number of the adders than the multipliers are enabled for each processing element to multiply transformed input and to perform an inverse transformation. In the second mode, an equal number of the adders and the multipliers are enabled for each processing element to multiply-and-accumulate the input. One or more of the multipliers are shared by the first mode and the second mode.
Public/Granted literature
- US20190114536A1 HYBRID NON-UNIFORM CONVOLUTION TRANSFORM ENGINE FOR DEEP LEARNING APPLICATIONS Public/Granted day:2019-04-18
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