Web Machine Learning Working Group - Activity in 2021
No matches.
TR publications
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1 document published.
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Web Neural Network API published as a Working Draft. History of Web Neural Network API
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Past meetings
Participants
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1 participant joined.
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James Fletcher (British Broadcasting Corporation) joined.
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1 participant left.
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Anita Chen (Fraunhofer Gesellschaft) left.
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1 organization joined.
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British Broadcasting Corporation joined.
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GitHub
webmachinelearning/webnn
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6 issues opened.
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A conformance suite with disallowed intra-op examples would be helpful for hardening. webmachinelearning/webnn#244, by @quidity.
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op metadata that helps avoid implementation mistakes webmachinelearning/webnn#243, by @quidity.
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Guidelines/philosophy for new operations, including security principles webmachinelearning/webnn#242, by @quidity.
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General Security Questions webmachinelearning/webnn#241, by @quidity.
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Candidate Recommendation readiness tracker webmachinelearning/webnn#240, by @anssiko.
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Wide review tracker webmachinelearning/webnn#239, by @anssiko.
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5 issues received 8 new comments.
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Should restrict the sync APIs to only exist in Workers? webmachinelearning/webnn#229 (2 comments by @domenic, @RafaelCintron)
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Consider dilation parameter for calculating conv2d output shape webmachinelearning/webnn#222 (1 comment by @mingmingtasd)
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Use modern WebIDL and Infra standard conventions webmachinelearning/webnn#210 (1 comment by @anssiko)
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2 pull requests opened.
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Add Test Suite metadata webmachinelearning/webnn#238, by @anssiko.
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Add MLOperand and update MLOperator description webmachinelearning/webnn#237, by @anssiko.
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1 pull request merged.
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Add Test Suite metadata webmachinelearning/webnn#238.
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3 pull requests received 11 new comments.
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Update "Performance Adaptation" use case webmachinelearning/webnn#207 (5 comments by @anssiko, @spshin3)
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Add MLOperand and update MLOperator description webmachinelearning/webnn#237 (5 comments by @anssiko, @huningxin)
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webmachinelearning/webmachinelearning-ethics
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1 issue opened.
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Societal impact considerations webmachinelearning/webmachinelearning-ethics#3, by @anssiko.
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1 issue closed.
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Add boilerplate files webmachinelearning/webmachinelearning-ethics#1.
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1 issue received 1 new comment.
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Add a "human rights considerations" or similar section webmachinelearning/webmachinelearning-ethics#2 (1 comment by @anssiko)
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1 pull request opened.
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Add boilerplate files webmachinelearning/webmachinelearning-ethics#4, by @anssiko.
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1 pull request merged.
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Add boilerplate files webmachinelearning/webmachinelearning-ethics#4.
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TR publications
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2 documents published.
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Web Neural Network API published twice as a Working Draft. History of Web Neural Network API
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Past meetings
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1 meeting.
Participants
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2 participants joined.
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Daniel LaLiberte (Google LLC) joined.
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Honglin Yu (Google LLC) joined.
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GitHub
webmachinelearning/webnn
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9 issues opened.
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Include content filtering as use case webmachinelearning/webnn#236, by @humeranoor.
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Validate op arguments early to better support eager execution webmachinelearning/webnn#234, by @anssiko.
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Create a light-weight process to guide submitting new operator requests to WebNN webmachinelearning/webnn#231, by @anssiko.
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Should WebNN support async APIs? webmachinelearning/webnn#230, by @huningxin.
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Should restrict the sync APIs to only exist in Workers? webmachinelearning/webnn#229, by @huningxin.
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Support for LocalResponseNormalization (LRN) operation webmachinelearning/webnn#228, by @MarkGHX.
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Integration with real-time video processing webmachinelearning/webnn#226, by @dontcallmedom.
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Use tensor type for the padding rather than MLOperand webmachinelearning/webnn#224, by @mingmingtasd.
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Documenting implementation status webmachinelearning/webnn#223, by @anssiko.
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1 issue closed.
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Support `iohw` filterLayout for `conv2d` op webmachinelearning/webnn#212.
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8 issues received 20 new comments.
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Integration with real-time video processing webmachinelearning/webnn#226 (6 comments by @aboba, @anssiko, @huningxin)
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Documenting implementation status webmachinelearning/webnn#223 (4 comments by @anssiko, @dontcallmedom)
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Support output tensor in native memory format webmachinelearning/webnn#173 (3 comments by @wchao1115, @yuhonglin)
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Device selection with MLDevicePreference and MLPowerPreference webmachinelearning/webnn#169 (2 comments by @anssiko)
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Use tensor type for the padding rather than MLOperand webmachinelearning/webnn#224 (2 comments by @huningxin, @mingmingtasd)
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Consider dilation parameter for calculating conv2d output shape webmachinelearning/webnn#222 (1 comment by @huningxin)
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Should restrict the sync APIs to only exist in Workers? webmachinelearning/webnn#229 (1 comment by @dontcallmedom)
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4 pull requests opened.
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Typo fix implemenation -> implementation webmachinelearning/webnn#235, by @anssiko.
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Change the type of padding input to array webmachinelearning/webnn#233, by @huningxin.
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Fix output size calculation of conv2d and convTranspose2d webmachinelearning/webnn#232, by @huningxin.
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Add Ethical Considerations webmachinelearning/webnn#227, by @anssiko.
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3 pull requests merged.
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Typo fix implemenation -> implementation webmachinelearning/webnn#235.
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Add Ethical Considerations webmachinelearning/webnn#227.
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Split transposed convolution to convTranspose2d webmachinelearning/webnn#214.
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4 pull requests received 15 new comments.
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Add Ethical Considerations webmachinelearning/webnn#227 (8 comments by @anssiko, @dontcallmedom, @jyasskin)
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Change the type of padding input to array webmachinelearning/webnn#233 (5 comments by @anssiko, @dontcallmedom, @huningxin)
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Split transposed convolution to convTranspose2d webmachinelearning/webnn#214 (1 comment by @huningxin)
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webmachinelearning/webmachinelearning-ethics
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1 issue opened.
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Add a "human rights considerations" or similar section webmachinelearning/webmachinelearning-ethics#2, by @jyasskin.
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1 issue received 2 new comments.
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Add a "human rights considerations" or similar section webmachinelearning/webmachinelearning-ethics#2 (2 comments by @anssiko, @jyasskin)
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Past meetings
Participants
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5 participants joined.
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Dr. Humera Noor Minhas (W3C Invited Experts) joined.
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Tudor Mihai Avram (eyeo GmbH) joined.
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YUGUANG DENG (Baidu, Inc.) joined.
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Shuangyan Yue (Baidu, Inc.) joined.
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Raviraj Pinnamaraju (Intel Corporation) joined.
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2 organizations joined.
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eyeo GmbH joined.
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Baidu, Inc. joined.
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GitHub
webmachinelearning/webnn
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2 issues opened.
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Consider dilation parameter for calculating conv2d output shape webmachinelearning/webnn#222, by @mingmingtasd.
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Autograd / JAX webmachinelearning/webnn#218, by @josephrocca.
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1 issue closed.
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Autograd / JAX webmachinelearning/webnn#218.
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2 issues received 3 new comments.
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reduceLogSum, reduceLogSumExp, reduceSumSquare are not supported on OV/NNAPI webmachinelearning/webnn#209 (1 comment by @anssiko)
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3 pull requests opened.
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Update LICENSE.md to match WG Charter Licensing section webmachinelearning/webnn#221, by @anssiko.
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Update contribution guidelines for WG webmachinelearning/webnn#220, by @anssiko.
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3 pull requests merged.
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Update LICENSE.md to match WG Charter Licensing section webmachinelearning/webnn#221.
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Update contribution guidelines for WG webmachinelearning/webnn#220.
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CG -> WG webmachinelearning/webnn#219.
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3 pull requests received 11 new comments.
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Split transposed convolution to convTranspose2d webmachinelearning/webnn#214 (7 comments by @anssiko, @gramalingam, @huningxin, @wchao1115)
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Update "Performance Adaptation" use case webmachinelearning/webnn#207 (2 comments by @spshin3, @wchao1115)
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Update contribution guidelines for WG webmachinelearning/webnn#220 (2 comments by @anssiko, @dontcallmedom)
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webmachinelearning/webmachinelearning-ethics
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1 issue opened.
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Add boilerplate files webmachinelearning/webmachinelearning-ethics#1, by @anssiko.
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TR publications
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5 documents published.
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Web Neural Network API published 5 times as a Working Draft. History of Web Neural Network API
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Past meetings
GitHub
webmachinelearning/webnn
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4 issues opened.
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Support `iohw` filterLayout for `conv2d` op webmachinelearning/webnn#212, by @Honry.
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Define algorithms for dictionaries with lists as default values webmachinelearning/webnn#211, by @anssiko.
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Use modern WebIDL and Infra standard conventions webmachinelearning/webnn#210, by @anssiko.
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reduceLogSum, reduceLogSumExp, reduceSumSquare are not supported on OV/NNAPI webmachinelearning/webnn#209, by @mingmingtasd.
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7 issues closed.
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Request input layout and resize only on height and width for Resample webmachinelearning/webnn#200.
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Support for configuring rounding type in pooling operations webmachinelearning/webnn#198.
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The scales and sizes of MLResampleOptions can't be both empty webmachinelearning/webnn#192.
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TAG review webmachinelearning/webnn#89.
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Change the min and max value to attributes instead of operands webmachinelearning/webnn#203.
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Ergonomics of the JS examples webmachinelearning/webnn#139.
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Define a common term for logical tensor changes? webmachinelearning/webnn#150.
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7 issues received 11 new comments.
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Support output tensor in native memory format webmachinelearning/webnn#173 (3 comments by @anssiko, @huningxin, @wchao1115)
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reduceLogSum, reduceLogSumExp, reduceSumSquare are not supported on OV/NNAPI webmachinelearning/webnn#209 (2 comments by @mingmingtasd, @wchao1115)
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Support for configuring rounding type in pooling operations webmachinelearning/webnn#198 (2 comments by @huningxin, @wchao1115)
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Request input layout and resize only on height and width for Resample webmachinelearning/webnn#200 (1 comment by @wchao1115)
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webmachinelearning/webnn#138 (1 comment by @anssiko)
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webmachinelearning/webnn#139 (1 comment by @anssiko)
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webmachinelearning/webnn#150 (1 comment by @anssiko)
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3 pull requests opened.
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Split transposed convolution to convTranspose2d webmachinelearning/webnn#214, by @huningxin.
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Add TAG and PING to Acknowledgements webmachinelearning/webnn#213, by @anssiko.
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Support rounding type of pool2d operations webmachinelearning/webnn#208, by @huningxin.
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7 pull requests merged.
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Change resample to resample2d webmachinelearning/webnn#205.
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Support rounding type of pool2d operations webmachinelearning/webnn#208.
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Add default values of scales into resample op webmachinelearning/webnn#204.
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Add TAG and PING to Acknowledgements webmachinelearning/webnn#213.
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Change min and max values of clamp to float webmachinelearning/webnn#206.
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Link explainer to programming model overview webmachinelearning/webnn#201.
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Add introduction, note ML JS frameworks as primary consumers webmachinelearning/webnn#202.
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9 pull requests received 54 new comments.
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Change resample to resample2d webmachinelearning/webnn#205 (32 comments by @anssiko, @dontcallmedom, @gramalingam, @huningxin, @jbingham, @wchao1115)
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Support rounding type of pool2d operations webmachinelearning/webnn#208 (7 comments by @huningxin, @wchao1115)
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Add default values of scales into resample op webmachinelearning/webnn#204 (7 comments by @anssiko, @domenic, @dontcallmedom, @huningxin)
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Split transposed convolution to convTranspose2d webmachinelearning/webnn#214 (2 comments by @gramalingam, @huningxin)
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Add introduction, note ML JS frameworks as primary consumers webmachinelearning/webnn#202 (1 comment by @anssiko)
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TR publications
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1 document published.
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Web Neural Network API published as a Working Draft. History of Web Neural Network API
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Past meetings
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1 meeting.
GitHub
webmachinelearning/webnn
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2 issues opened.
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Change the min and max value to attributes instead of operands webmachinelearning/webnn#203, by @mingmingtasd.
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Request input layout and resize only on height and width for Resample webmachinelearning/webnn#200, by @fujunwei.
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2 issues closed.
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There is a spelling error in "during the model training phrase" webmachinelearning/webnn#194.
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A few nits to be addressed webmachinelearning/webnn#143.
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6 issues received 9 new comments.
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Support for configuring rounding type in pooling operations webmachinelearning/webnn#198 (2 comments by @huningxin, @wchao1115)
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Change the min and max value to attributes instead of operands webmachinelearning/webnn#203 (2 comments by @huningxin, @mingmingtasd)
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Request input layout and resize only on height and width for Resample webmachinelearning/webnn#200 (2 comments by @BruceDai, @huningxin)
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There is a spelling error in "during the model training phrase" webmachinelearning/webnn#194 (1 comment by @anssiko)
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webmachinelearning/webnn#143 (1 comment by @anssiko)
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webmachinelearning/webnn#150 (1 comment by @anssiko)
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6 pull requests opened.
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Update "Performance Adaptation" use case webmachinelearning/webnn#207, by @spshin3.
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Change min and max values of clamp to float webmachinelearning/webnn#206, by @huningxin.
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Change resample to resample2d webmachinelearning/webnn#205, by @huningxin.
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Add default values of scales into resample op webmachinelearning/webnn#204, by @huningxin.
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Add introduction, note ML JS frameworks as primary consumers webmachinelearning/webnn#202, by @anssiko.
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Link explainer to programming model overview webmachinelearning/webnn#201, by @anssiko.
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1 pull request merged.
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Add overview subsection webmachinelearning/webnn#196.
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4 pull requests received 19 new comments.
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Add overview subsection webmachinelearning/webnn#196 (15 comments by @anssiko, @gramalingam, @huningxin, @wchao1115)
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TR publications
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1 document published.
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Web Neural Network API published as a Working Draft. History of Web Neural Network API
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GitHub
webmachinelearning/webnn
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5 issues opened.
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Support for configuring rounding type in pooling operations webmachinelearning/webnn#198, by @MarkGHX.
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There is a spelling error in "during the model training phrase" webmachinelearning/webnn#194, by @fujunwei.
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The scales and sizes of MLResampleOptions can't be both empty webmachinelearning/webnn#192, by @lisa0314.
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Makefile is missing to build the spec webmachinelearning/webnn#190, by @huningxin.
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Request for BatchToSpaceND and SpaceToBatchND ops webmachinelearning/webnn#189, by @Honry.
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4 issues closed.
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Request for HardSwish op webmachinelearning/webnn#181.
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String enum for activations webmachinelearning/webnn#138.
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Conv2d and BatchNorm should support optional fused activation function webmachinelearning/webnn#185.
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Makefile is missing to build the spec webmachinelearning/webnn#190.
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1 issue reopened.
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Should dilated pooling be supported webmachinelearning/webnn#180, by @huningxin.
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4 issues received 10 new comments.
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Should dilated pooling be supported webmachinelearning/webnn#180 (4 comments by @huningxin, @wchao1115)
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BatchNormalization should be an optional operation webmachinelearning/webnn#187 (2 comments by @pyu10055, @wchao1115)
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The scales and sizes of MLResampleOptions can't be both empty webmachinelearning/webnn#192 (1 comment by @lisa0314)
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5 pull requests opened.
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[Test] fix the build error webmachinelearning/webnn#197, by @huningxin.
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Add overview subsection webmachinelearning/webnn#196, by @gramalingam.
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Support hard-swish operation webmachinelearning/webnn#195, by @huningxin.
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Remove setOperand and add a note for MLOperator webmachinelearning/webnn#193, by @huningxin.
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Reinstate Makefile to help local testing webmachinelearning/webnn#191, by @dontcallmedom.
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3 pull requests merged.
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Support hard-swish operation webmachinelearning/webnn#195.
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Add activation functions as fused operators to BatchNorm and Conv2d webmachinelearning/webnn#188.
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Reinstate Makefile to help local testing webmachinelearning/webnn#191.
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2 pull requests closed.
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[Test] fix the build error webmachinelearning/webnn#197.
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Remove setOperand and add a note for MLOperator webmachinelearning/webnn#193.
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5 pull requests received 18 new comments.
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Add activation functions as fused operators to BatchNorm and Conv2d webmachinelearning/webnn#188 (8 comments by @gramalingam, @huningxin, @wchao1115)
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Remove setOperand and add a note for MLOperator webmachinelearning/webnn#193 (1 comment by @huningxin)
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TR publications
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1 document published.
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Web Neural Network API published as a First Public Working Draft. History of Web Neural Network API
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Past meetings
Participants
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1 participant joined.
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Philip Laszkowicz (W3C Invited Experts) joined.
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GitHub
webmachinelearning/webnn
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7 issues opened.
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BatchNormalization should be an optional operation webmachinelearning/webnn#187, by @pyu10055.
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Conv2d and BatchNorm should support optional fused activation function webmachinelearning/webnn#185, by @wchao1115.
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Request for argMax op webmachinelearning/webnn#184, by @Honry.
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Request for HardSwish op webmachinelearning/webnn#181, by @Honry.
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Should dilated pooling be supported webmachinelearning/webnn#180, by @fujunwei.
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[admin] Renaming the default branch from master to main webmachinelearning/webnn#177, by @anssiko.
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Related WebGPU Security and Privacy Considerations webmachinelearning/webnn#175, by @anssiko.
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2 issues closed.
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Create plan for how to move forward with Inference API webmachinelearning/webnn#51.
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[admin] Renaming the default branch from master to main webmachinelearning/webnn#177.
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10 issues received 14 new comments.
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Conv2d and BatchNorm should support optional fused activation function webmachinelearning/webnn#185 (5 comments by @huningxin, @wchao1115)
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webmachinelearning/webnn#138 (1 comment by @wchao1115)
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BatchNormalization should be an optional operation webmachinelearning/webnn#187 (1 comment by @wchao1115)
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webmachinelearning/webnn#51 (1 comment by @anssiko)
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[admin] Renaming the default branch from master to main webmachinelearning/webnn#177 (1 comment by @dontcallmedom)
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webmachinelearning/webnn#85 (1 comment by @anssiko)
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webmachinelearning/webnn#119 (1 comment by @anssiko)
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webmachinelearning/webnn#156 (1 comment by @huningxin)
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6 pull requests opened.
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Add activation functions as fused operators to BatchNorm and Conv2d webmachinelearning/webnn#188, by @wchao1115.
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Scope dl highlight to body of spec webmachinelearning/webnn#186, by @dontcallmedom.
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Set up for automatic publication using Echidna webmachinelearning/webnn#183, by @dontcallmedom.
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Add a new application use case webmachinelearning/webnn#182, by @spshin3.
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Adapt repo & spec for WG adoption webmachinelearning/webnn#178, by @dontcallmedom.
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Use supported GH action to auto-publish bikeshed build webmachinelearning/webnn#176, by @dontcallmedom.
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6 pull requests merged.
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Add a new application use case webmachinelearning/webnn#182.
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Scope dl highlight to body of spec webmachinelearning/webnn#186.
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Set up for automatic publication using Echidna webmachinelearning/webnn#183.
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Adapt repo & spec for WG adoption webmachinelearning/webnn#178.
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Use supported GH action to auto-publish bikeshed build webmachinelearning/webnn#176.
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Support sync API and require pre-allocated output buffers webmachinelearning/webnn#174.
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6 pull requests received 30 new comments.
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Support sync API and require pre-allocated output buffers webmachinelearning/webnn#174 (13 comments by @anssiko, @huningxin, @pyu10055, @wchao1115)
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Add activation functions as fused operators to BatchNorm and Conv2d webmachinelearning/webnn#188 (8 comments by @huningxin, @wchao1115)
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Adapt repo & spec for WG adoption webmachinelearning/webnn#178 (3 comments by @anssiko, @dontcallmedom)
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Use supported GH action to auto-publish bikeshed build webmachinelearning/webnn#176 (1 comment by @anssiko)
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webmachinelearning/webnn#179 (1 comment by @anssiko)
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Participants
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11 participants joined.
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Wolfgang Maass (German Research Center for Artificial Intelligence (DFKI) Gmbh) joined.
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Kai Ninomiya (Google LLC) joined.
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Jon Napper (Google LLC) joined.
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Ping Yu (Google LLC) joined.
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Jonathan Bingham (Google LLC) joined.
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Yang Gu (Microsoft Corporation) joined.
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Barbara Hochgesang (Intel Corporation) joined.
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Dapeng(Max) Liu (Alibaba Group) joined.
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Geunhyung Kim (Sharing Economy Association of Korea (SEAK)) joined.
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Michael Prorock (Tradeverifyd) joined.
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Rachel Yager (W3C Invited Experts) joined.
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4 organizations joined.
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Google LLC joined.
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Gooroomee Inc. joined.
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Tradeverifyd joined.
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Wikimedia Foundation joined.
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GitHub
webmachinelearning/webnn
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4 issues opened.
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Support output tensor in native memory format webmachinelearning/webnn#173, by @huningxin.
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The third input of gemm op should support broadcasting webmachinelearning/webnn#171, by @huningxin.
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Device selection with MLDevicePreference and MLPowerPreference webmachinelearning/webnn#169, by @anssiko.
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Add models to the spec appendix webmachinelearning/webnn#165, by @anssiko.
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3 issues closed.
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The third input of gemm op should support broadcasting webmachinelearning/webnn#171.
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Security and privacy considerations webmachinelearning/webnn#122.
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Isomorphic JS story, worker scope exposure? webmachinelearning/webnn#142.
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5 issues received 10 new comments.
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webmachinelearning/webnn#138 (1 comment by @anssiko)
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webmachinelearning/webnn#139 (1 comment by @anssiko)
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5 pull requests opened.
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Support sync API and require pre-allocated output buffers webmachinelearning/webnn#174, by @huningxin.
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Support broadcasting for gemm webmachinelearning/webnn#172, by @huningxin.
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Add initial Security and Privacy Considerations sections webmachinelearning/webnn#170, by @anssiko.
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Support download data asynchronously webmachinelearning/webnn#166, by @huningxin.
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Grammar fix webmachinelearning/webnn#164, by @anssiko.
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5 pull requests merged.
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Support broadcasting for gemm webmachinelearning/webnn#172.
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Add initial Security and Privacy Considerations sections webmachinelearning/webnn#170.
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Expose interfaces to DedicatedWorker webmachinelearning/webnn#163.
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Grammar fix webmachinelearning/webnn#164.
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Add support for device selection webmachinelearning/webnn#162.
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1 pull request closed.
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Support download data asynchronously webmachinelearning/webnn#166.
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5 pull requests received 32 new comments.
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Support download data asynchronously webmachinelearning/webnn#166 (25 comments by @anssiko, @huningxin, @wchao1115)
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Add initial Security and Privacy Considerations sections webmachinelearning/webnn#170 (1 comment by @wchao1115)
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Lifecycle
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1 charter started.
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Chartered until 6 April 2023. Participants had to rejoin under this charter.
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Participants
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1 chair appointed.
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Anssi Kostiainen became a chair.
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1 Team contact appointed.
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Dominique Hazaël-Massieux became a Team contact.
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17 participants joined.
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Wenhe Li (W3C Invited Experts) joined.
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Romain Beaumont (Criteo) joined.
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Daniela Ushizima (Lawrence Berkeley National Laboratory) joined.
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元彦 曹 (Alibaba Group) joined.
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Ganesan Ramalingam (Microsoft Corporation) joined.
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Rafael Cintron (Microsoft Corporation) joined.
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Chai Chaoweeraprasit (Microsoft Corporation) joined.
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Georg Rehm (German Research Center for Artificial Intelligence (DFKI) Gmbh) joined.
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Serge Chávez-Feria (Universidad Politécnica de Madrid) joined.
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Ningxin Hu (Intel Corporation) joined.
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Anssi Kostiainen (Intel Corporation) joined.
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Rohit Ravindra Hegde (Fraunhofer Gesellschaft) joined.
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Anita Chen (Fraunhofer Gesellschaft) joined.
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Sungpil Shin (Electronics and Telecommunications Research Institute (ETRI)) joined.
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Wonsuk Lee (Electronics and Telecommunications Research Institute (ETRI)) joined.
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Kangchan Lee (Electronics and Telecommunications Research Institute (ETRI)) joined.
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Dominique Hazaël-Massieux (W3C) joined.
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9 organizations joined.
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Criteo joined.
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Lawrence Berkeley National Laboratory joined.
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Alibaba Group joined.
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Microsoft Corporation joined.
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German Research Center for Artificial Intelligence (DFKI) Gmbh joined.
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Universidad Politécnica de Madrid joined.
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Intel Corporation joined.
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Fraunhofer Gesellschaft joined.
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Electronics and Telecommunications Research Institute (ETRI) joined.
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GitHub
webmachinelearning/webnn
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5 issues received 8 new comments.
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webmachinelearning/webnn#142 (1 comment by @anssiko)
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webmachinelearning/webnn#145 (1 comment by @sandandsnow)
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webmachinelearning/webnn#139 (1 comment by @anssiko)
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1 pull request received 32 new comments.