TVM Monthly - Nov 2019

As discussed with TVM PMC, we would like to give a summary of the project per month, so people can get a better sense of what is going on in the community.

Feedback and suggestions are welcomed so that we can further improve the report.

Community

Two meetups were held in Bay Area and Shanghai . The slides are available here.

This forum grew healthily and got 103k pageviews, 3.3k user visits in the last month. The community welcomes the new reviewer Logan Weber (@weberlo).

Features and Improvements

In the previous month, the community has made good progress on several aspects. Here are a few highlights.

  • TensorCore support, with competitive performance compared to native libraries (cuBLAS, cuDNN) (#4105, #4353)
  • C++ RPC server for embedded devices without python runtime (#4281)
  • Explicitly manifest memory and tensor allocations in Relay. This is to enable future optimizations and transformations. (#3560)
  • Operator performance improvement (reduction ops #4158, batch matmul #4242)

We made the first Apache release Apache TVM (incubating) v0.6.

Compiler and VM Improvement

Quantization

Performance

Operator Support

User Interface and Frontend

Language, Runtime and Hardware Support

Documents, Test and Build

Bugfix

People Whose Pull Requests are Updated:

Note: The format is name(number of activities, area list). Disclaimer: number of activities do not directly correspond to the community’s view about the significance of contributions

anijain2305 (36), tqchen (18), sgrechanik-h (18), yzhliu (15), icemelon9 (11), FrozenGene (11), kevinthesun (8), co maniac (8), vinx13 (7), wweic (7), tmoreau89 (7), yongwww (7), cchung100m (7), liangfu (6), shoubhik (6), zhiics (5 ), eqy (5), t-vi (5), hcho3 (5), merrymercy (4), jroesch (4), apivovarov (4), hlu1 (4), alexgl-github (4), MarisaKi risame (3), srkreddy1238 (3), Laurawly (3), soiferj (3), jwfromm (3), petrex (3), jdavies-huawei (3), ZihengJiang ( 2), were (2), huajsj (2), inadob (2), zxy844288792 (2), csarofeen (2), makihiro (2), vmiheer (2), hgt312 (2), KimBi oInfoStudio (2), siju-samuel (1), masahi (1), nhynes (1), Huyuwei (1), vegaluisjose (1), lixiaoquan (1), weberlo (1 ), junrushao1994 (1), antinucleon (1), liangdzou (1), cbalint13 (1), imorinaga (1), yuruofeifei (1), u99127 (1), ki mishpatel (1), gemfield (1), Rasterer (1), tristan-arm (1), Hzfengsy (1), kice (1), jackwish (1), liaha (1), paddyh oran (1), bindog (1), jmorrill (1), mbarrett97 (1), ariwaranosai (1), ic (1), minminsun (1), lsy643 (1), tweej (1), trevor-m (1), XFPlus (1), abuccts (1), autumnqin (1), ekalda (1), jason-song-dev (1), PeikeLi (1), gittripley (1), zhuochenKIDD (1), ziyu-guo (1)

People Who Reviewed Pull Requests:

Note: The format is name(number of activities).

tqchen (139), zhiics (62), yzhliu (55), vinx13 (28), kevinthesun (26), FrozenGene (23), anijain2305 (20), tmoreau89 (20), merrymercy (18), icemelon9 (18), masahi (18), yongwww (18), jackwish (17), ZihengJiang (16), wweic (16), jro esch (14), soiferj (13), junrushao1994 (13), MarisaKirisame (12), Laurawly (8), ajtulloch (8), comaniac (8), u99127 (8), srkreddy1238 (7), kazum (7), liangfu (7), shoubhik (6), vegaluisjose (5), weberlo (5), cchung100m (5), jwfrom m (5), eqy (4), apivovarov (4), slyubomirsky (4), yidawang (4), cbalint13 (4), grwlf (4), broune (4), huajsj (3), p etrex (3), Huyuwei (2), antinucleon (2), xqdan (2), derisavi (2), Hzfengsy (2), reminisce (2), KimBioInfoStudio (2) , minminsun (2), siju-samuel (1), nhynes (1), PariksheetPinjari909 (1), mshawcroft (1), zhreshold (1), sgrechanik-h (1), t-vi (1), hcho3 (1), adityaatluri (1), denis0x0D (1), yinghai (1), altanh (1), umangyadav (1), lly-zero-one ( 1), kaitingwang (1), SWu (1), TaoLv (1), ZhennanQin (1), jmorrill (1), Leo-arm (1), zhuochenKIDD (1)

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