Web Machine Learning Community Group - Activity in 2022
No matches.
Participants
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2 participants joined.
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Slimane Bah (Ecole Mohammadia d'Ingenieurs Rabat (EMI)) joined.
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Olu Niyi-Awosusi joined.
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1 organization joined.
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Ecole Mohammadia d'Ingenieurs Rabat (EMI) joined.
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GitHub
webmachinelearning/webnn-native
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2 pull requests received 2 new comments.
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webmachinelearning/webnn-native#382 (1 comment by @BruceDai)
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webmachinelearning/webnn-native#380 (1 comment by @BruceDai)
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webmachinelearning/webmachinelearning.github.io
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1 issue opened.
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Do we need "Comments" section for blog? webmachinelearning/webmachinelearning.github.io#35, by @ibelem.
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1 issue closed.
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Do we need "Comments" section for blog? webmachinelearning/webmachinelearning.github.io#35.
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1 issue received 2 new comments.
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Do we need "Comments" section for blog? webmachinelearning/webmachinelearning.github.io#35 (2 comments by @anssiko, @ibelem)
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2 pull requests opened.
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Add blog for webnn-polyfill webmachinelearning/webmachinelearning.github.io#34, by @Honry.
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UI tuning and add blog link back webmachinelearning/webmachinelearning.github.io#33, by @ibelem.
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2 pull requests merged.
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Add blog for webnn-polyfill webmachinelearning/webmachinelearning.github.io#34.
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UI tuning and add blog link back webmachinelearning/webmachinelearning.github.io#33.
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2 pull requests received 17 new comments.
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Add blog for webnn-polyfill webmachinelearning/webmachinelearning.github.io#34 (15 comments by @anssiko, @Honry, @ibelem)
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UI tuning and add blog link back webmachinelearning/webmachinelearning.github.io#33 (2 comments by @anssiko, @ibelem)
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webmachinelearning/webnn-baseline
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3 pull requests received 10 new comments.
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[WIP] generate test data for WebNN matmul tests of WPT webmachinelearning/webnn-baseline#23 (6 comments by @fdwr)
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[WIP]generate test data for WebNN slice tests of WPT webmachinelearning/webnn-baseline#26 (3 comments by @fdwr)
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[WIP]generate test data for WebNN reshape tests of WPT webmachinelearning/webnn-baseline#24 (1 comment by @fdwr)
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Participants
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2 participants joined.
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Amber Blue joined.
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Samuel Hsin (Alibaba Group) joined.
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GitHub
webmachinelearning/webnn-baseline
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1 issue opened.
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Support float16 webmachinelearning/webnn-baseline#27, by @BruceDai.
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5 pull requests opened.
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[WIP]generate test data for WebNN slice tests of WPT webmachinelearning/webnn-baseline#26, by @BruceDai.
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[WIP]generate test data for WebNN relu tests of WPT webmachinelearning/webnn-baseline#25, by @BruceDai.
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[WIP]generate test data for WebNN reshape tests of WPT webmachinelearning/webnn-baseline#24, by @BruceDai.
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[WIP] generate test data for WebNN matmul tests of WPT webmachinelearning/webnn-baseline#23, by @BruceDai.
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[WIP][tool] Add scripts to generate test data for WPT WebNN operations tests webmachinelearning/webnn-baseline#22, by @BruceDai.
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1 pull request received 16 new comments.
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[WIP][tool] Add scripts to generate test data for WPT WebNN operations tests webmachinelearning/webnn-baseline#22 (16 comments by @BruceDai, @fdwr)
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webmachinelearning/webnn-samples
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1 pull request opened.
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Fixed several bugs webmachinelearning/webnn-samples#155, by @Honry.
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2 pull requests merged.
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Fixed several bugs webmachinelearning/webnn-samples#155.
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Use WebNN async API webmachinelearning/webnn-samples#150.
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2 pull requests received 4 new comments.
webmachinelearning/webnn-native
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5 issues opened.
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Failure happened by CI of Node Binding (DirectMLX backend / Windows) webmachinelearning/webnn-native#376, by @BruceDai.
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Error happened when building DirectMLX backend with upgraded DirectML and GPGMM dependencies webmachinelearning/webnn-native#373, by @BruceDai.
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Failed to build MLAS backend with upgraded ONNX Runtime dependency webmachinelearning/webnn-native#372, by @BruceDai.
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Failed to build oneDNN backend with upgraded oneDNN dependency webmachinelearning/webnn-native#371, by @BruceDai.
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Regression happened when running end-end tests by XNNPACK backend with upgraded XNNPACK dependency webmachinelearning/webnn-native#370, by @BruceDai.
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1 issue closed.
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FP16 datatype support for chromium DML prototype webmachinelearning/webnn-native#359.
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1 issue received 2 new comments.
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Error happened when building DirectMLX backend with upgraded DirectML and GPGMM dependencies webmachinelearning/webnn-native#373 (2 comments by @BruceDai, @fujunwei)
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1 pull request opened.
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Fixed computed output shape of matmul op webmachinelearning/webnn-native#374, by @mingmingtasd.
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2 pull requests received 6 new comments.
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Fixed computed output shape of matmul op webmachinelearning/webnn-native#374 (5 comments by @BruceDai, @mingmingtasd)
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webmachinelearning/webnn-native#369 (1 comment by @anssiko)
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webmachinelearning/model-loader
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1 issue opened.
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Request rename MLDevicePreference to MLDeviceType to align with WebNN API webmachinelearning/model-loader#41, by @BruceDai.
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1 issue received 4 new comments.
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Make MLTensor strongly typed? webmachinelearning/model-loader#39 (4 comments by @huningxin, @wacky6)
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GitHub
webmachinelearning/webnn-native
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1 issue opened.
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FP16 datatype support for chromium DML prototype webmachinelearning/webnn-native#359, by @mingmingtasd.
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1 issue received 1 new comment.
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FP16 datatype support for chromium DML prototype webmachinelearning/webnn-native#359 (1 comment by @mingmingtasd)
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1 pull request merged.
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Optimize Auto roll CIs by updating PR's title and scheduling time. webmachinelearning/webnn-native#308.
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1 pull request received 1 new comment.
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Optimize Auto roll CIs by updating PR's title and scheduling time. webmachinelearning/webnn-native#308 (1 comment by @fujunwei)
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webmachinelearning/webnn-baseline
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11 issues opened.
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Implement softsign webmachinelearning/webnn-baseline#20, by @BruceDai.
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Implement softplus webmachinelearning/webnn-baseline#19, by @BruceDai.
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Implement resample2d webmachinelearning/webnn-baseline#18, by @BruceDai.
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Implement others reduction operations webmachinelearning/webnn-baseline#17, by @BruceDai.
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Implement l2Pool2d webmachinelearning/webnn-baseline#16, by @BruceDai.
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Implement pad webmachinelearning/webnn-baseline#15, by @BruceDai.
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Implement linear webmachinelearning/webnn-baseline#14, by @BruceDai.
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Implement instanceNormalization webmachinelearning/webnn-baseline#13, by @BruceDai.
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Implement hardSigmoid webmachinelearning/webnn-baseline#12, by @BruceDai.
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Implement hardSwish webmachinelearning/webnn-baseline#11, by @BruceDai.
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Implement convTranspose2d webmachinelearning/webnn-baseline#10, by @BruceDai.
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webmachinelearning/webmachinelearning.github.io
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1 pull request opened.
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Add face recognition and facial landmark samples webmachinelearning/webmachinelearning.github.io#31, by @Honry.
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1 pull request merged.
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Add face recognition and facial landmark samples webmachinelearning/webmachinelearning.github.io#31.
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1 pull request received 2 new comments.
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Add face recognition and facial landmark samples webmachinelearning/webmachinelearning.github.io#31 (2 comments by @Honry, @ibelem)
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Participants
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1 participant joined.
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João Souza Jr joined.
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1 participant left.
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João Souza Jr left.
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1 organization left.
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Instituto Atlântco left.
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GitHub
webmachinelearning/webnn-native
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1 issue closed.
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Auto rolling DEPS webmachinelearning/webnn-native#248.
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8 pull requests opened.
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Optimize Auto roll CIs by updating PR's title and scheduling time. webmachinelearning/webnn-native#308, by @BruceDai.
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Split Auto Roll DEPS CI into sub CIs. webmachinelearning/webnn-native#302, by @BruceDai.
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Enable GPGMM without requiring DEPS. webmachinelearning/webnn-native#300, by @bbernhar.
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Ignore .gclient_previous_sync_commits file. webmachinelearning/webnn-native#299, by @BruceDai.
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Roll GPGMM webmachinelearning/webnn-native#298, by @bbernhar.
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Enable GPGMM without DEPS. webmachinelearning/webnn-native#297, by @bbernhar.
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Add job names for checking to auto merge PRs by Auto rolling DEPS CI. webmachinelearning/webnn-native#296, by @BruceDai.
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Remove permissions settings in Auto roll CI by manually configuration. webmachinelearning/webnn-native#294, by @BruceDai.
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5 pull requests merged.
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Split Auto Roll DEPS CI into sub CIs. webmachinelearning/webnn-native#302.
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Enable GPGMM without requiring DEPS. webmachinelearning/webnn-native#300.
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Ignore .gclient_previous_sync_commits file. webmachinelearning/webnn-native#299.
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Add job names for checking to auto merge PRs by Auto rolling DEPS CI. webmachinelearning/webnn-native#296.
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Remove permissions settings in Auto roll CI by manually configuration. webmachinelearning/webnn-native#294.
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2 pull requests closed.
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Roll GPGMM webmachinelearning/webnn-native#298.
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Enable GPGMM without DEPS. webmachinelearning/webnn-native#297.
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4 pull requests received 10 new comments.
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Remove permissions settings in Auto roll CI by manually configuration. webmachinelearning/webnn-native#294 (1 comment by @anssiko)
webmachinelearning/proposals
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1 issue received 2 new comments.
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Add use case on “Content Filtering” in WebNN specifications webmachinelearning/proposals#4 (2 comments by @anssiko, @humeranoor)
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webmachinelearning/webmachinelearning.github.io
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1 pull request opened.
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Update webnn-samples.html webmachinelearning/webmachinelearning.github.io#30, by @anssiko.
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1 pull request merged.
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Update webnn-samples.html webmachinelearning/webmachinelearning.github.io#30.
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1 pull request received 2 new comments.
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Update webnn-samples.html webmachinelearning/webmachinelearning.github.io#30 (2 comments by @anssiko, @ibelem)
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webmachinelearning/webnn-samples
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1 issue received 1 new comment.
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Need Face detection and Face Recognition samples migrated to new Framework as old ones crashing in Live camera use case webmachinelearning/webnn-samples#143 (1 comment by @roshansullad)
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Participants
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1 participant joined.
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Rachit Sharma (IAB Technology Laboratory, Inc.) joined.
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1 organization joined.
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IAB Technology Laboratory, Inc. joined.
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GitHub
webmachinelearning/webnn-samples
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2 issues closed.
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Need Face detection and Face Recognition samples migrated to new Framework as old ones crashing in Live camera use case webmachinelearning/webnn-samples#143.
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Fast style transfer error webmachinelearning/webnn-samples#118.
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2 issues received 3 new comments.
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Need Face detection and Face Recognition samples migrated to new Framework as old ones crashing in Live camera use case webmachinelearning/webnn-samples#143 (1 comment by @Honry)
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4 pull requests opened.
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Add SIMD + threads info for WASM backend webmachinelearning/webnn-samples#153, by @Honry.
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Add face recognition sample webmachinelearning/webnn-samples#151, by @Honry.
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Use WebNN async API webmachinelearning/webnn-samples#150, by @Honry.
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Fixed checking for WebNN support webmachinelearning/webnn-samples#149, by @Honry.
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4 pull requests merged.
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Add face recognition sample webmachinelearning/webnn-samples#151.
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Add SIMD + threads info for WASM backend webmachinelearning/webnn-samples#153.
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Add facial landmark detection sample webmachinelearning/webnn-samples#146.
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Fixed checking for WebNN support webmachinelearning/webnn-samples#149.
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4 pull requests received 8 new comments.
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Add SIMD + threads info for WASM backend webmachinelearning/webnn-samples#153 (2 comments by @BruceDai, @Honry)
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Add facial landmark detection sample webmachinelearning/webnn-samples#146 (2 comments by @BruceDai, @Honry)
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Fixed checking for WebNN support webmachinelearning/webnn-samples#149 (2 comments by @Honry, @ibelem)
webmachinelearning/proposals
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1 issue opened.
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Add use case on “Content Filtering” in WebNN specifications webmachinelearning/proposals#4, by @humeranoor.
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1 issue received 2 new comments.
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Add use case on “Content Filtering” in WebNN specifications webmachinelearning/proposals#4 (2 comments by @anssiko, @humeranoor)
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webmachinelearning/webnn-native
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1 issue received 4 new comments.
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9 pull requests opened.
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Disable dml flag in Instance .cpp webmachinelearning/webnn-native#293, by @mingmingtasd.
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Add CI for DML backend webmachinelearning/webnn-native#292, by @mingmingtasd.
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Update README.md by removing DML information from CI status table webmachinelearning/webnn-native#291, by @mingmingtasd.
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Add CI to auto roll DEPS. webmachinelearning/webnn-native#290, by @BruceDai.
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Roll GPGMM webmachinelearning/webnn-native#289, by @bbernhar.
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Delete the implementation of DML backend and disable CI webmachinelearning/webnn-native#288, by @mingmingtasd.
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Create and initialize Device object: the first PR for rewriting DML backend webmachinelearning/webnn-native#287, by @mingmingtasd.
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Enable PIX Capture for debug builds. webmachinelearning/webnn-native#286, by @bbernhar.
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Refactor C++ examples webmachinelearning/webnn-native#285, by @mingmingtasd.
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8 pull requests merged.
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Add CI to auto roll DEPS. webmachinelearning/webnn-native#290.
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Update README.md by removing DML information from CI status table webmachinelearning/webnn-native#291.
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Disable dml flag in Instance .cpp webmachinelearning/webnn-native#293.
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Roll GPGMM webmachinelearning/webnn-native#289.
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Delete the implementation of DML backend and disable CI webmachinelearning/webnn-native#288.
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Enable PIX Capture for debug builds. webmachinelearning/webnn-native#286.
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Refactor C++ examples webmachinelearning/webnn-native#285.
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Add SuperResolution example and test webmachinelearning/webnn-native#284.
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2 pull requests closed.
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Add CI for DML backend webmachinelearning/webnn-native#292.
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Continue to refactor the dml backend webmachinelearning/webnn-native#280.
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1 pull request reopened.
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Update README.md by removing DML information from CI status table webmachinelearning/webnn-native#291, by @mingmingtasd.
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11 pull requests received 117 new comments.
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Create and initialize Device object: the first PR for rewriting DML backend webmachinelearning/webnn-native#287 (78 comments by @bbernhar, @fujunwei, @miaobin, @mingmingtasd)
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Continue to refactor the dml backend webmachinelearning/webnn-native#280 (10 comments by @bbernhar, @mingmingtasd)
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Add CI to auto roll DEPS. webmachinelearning/webnn-native#290 (5 comments by @bbernhar, @BruceDai, @fujunwei)
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Update README.md by removing DML information from CI status table webmachinelearning/webnn-native#291 (4 comments by @fujunwei, @mingmingtasd)
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Delete the implementation of DML backend and disable CI webmachinelearning/webnn-native#288 (3 comments by @BruceDai, @fujunwei, @mingmingtasd)
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Enable PIX Capture for debug builds. webmachinelearning/webnn-native#286 (3 comments by @bbernhar, @mingmingtasd)
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webmachinelearning/test-data
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1 pull request opened.
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Add weights files for FaceNet model webmachinelearning/test-data#18, by @Honry.
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1 pull request merged.
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Add weights files for FaceNet model webmachinelearning/test-data#18.
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1 pull request received 1 new comment.
webmachinelearning/meetings
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2 issues closed.
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WebML WG Virtual Meetings at TPAC 2021 webmachinelearning/meetings#18.
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WebML WG Hybrid Meeting at TPAC 2022 webmachinelearning/meetings#20.
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1 issue received 1 new comment.
Participants
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1 participant joined.
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Daniela Cialfi joined.
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3 participants left.
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Sitar Harel (Google LLC) left.
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Oleksandr Paraska (eyeo GmbH) left.
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Shwetank Dixit (eyeo GmbH) left.
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GitHub
webmachinelearning/webnn-native
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1 issue received 3 new comments.
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5 pull requests opened.
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Add SuperResolution example and test webmachinelearning/webnn-native#284, by @bbernhar.
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Manually roll webmachinelearning/test-data. webmachinelearning/webnn-native#283, by @bbernhar.
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Roll third_party/gpgmm/ 72f910e8d..61fcfcbd8 (143 commits) webmachinelearning/webnn-native#282, by @bbernhar.
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[WebNN-native/Node] support context-based compute graph. webmachinelearning/webnn-native#281, by @miaobin.
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Continue to refactor the dml backend webmachinelearning/webnn-native#280, by @mingmingtasd.
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4 pull requests merged.
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Manually roll webmachinelearning/test-data. webmachinelearning/webnn-native#283.
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Roll third_party/gpgmm/ 72f910e8d..61fcfcbd8 (143 commits) webmachinelearning/webnn-native#282.
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Fixed memory error for empty values in GraphIE.cpp AddConstantWithGraph webmachinelearning/webnn-native#279.
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Fix dml/dmlx memory leaks for C++ examples webmachinelearning/webnn-native#275.
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7 pull requests received 117 new comments.
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Continue to refactor the dml backend webmachinelearning/webnn-native#280 (78 comments by @bbernhar, @mingmingtasd)
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Add SuperResolution example and test webmachinelearning/webnn-native#284 (21 comments by @bbernhar, @fujunwei, @mingmingtasd)
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Fixed memory error for empty values in GraphIE.cpp AddConstantWithGraph webmachinelearning/webnn-native#279 (6 comments by @fujunwei, @mingmingtasd, @zesongw)
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[WebNN-native/Node] support context-based compute graph. webmachinelearning/webnn-native#281 (5 comments by @miaobin, @mingmingtasd)
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Roll third_party/gpgmm/ 72f910e8d..61fcfcbd8 (143 commits) webmachinelearning/webnn-native#282 (3 comments by @bbernhar, @fujunwei)
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Manually roll webmachinelearning/test-data. webmachinelearning/webnn-native#283 (2 comments by @bbernhar, @fujunwei)
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Fix dml/dmlx memory leaks for C++ examples webmachinelearning/webnn-native#275 (2 comments by @fujunwei, @mingmingtasd)
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webmachinelearning/test-data
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2 pull requests opened.
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Add Super Resolution Model webmachinelearning/test-data#17, by @bbernhar.
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Add weights files for facial landmark detection sample webmachinelearning/test-data#16, by @Honry.
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2 pull requests merged.
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Add Super Resolution Model webmachinelearning/test-data#17.
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Add weights files for facial landmark detection sample webmachinelearning/test-data#16.
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2 pull requests received 9 new comments.
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Add Super Resolution Model webmachinelearning/test-data#17 (6 comments by @bbernhar, @fujunwei, @ibelem)
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Add weights files for facial landmark detection sample webmachinelearning/test-data#16 (3 comments by @BruceDai, @Honry)
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webmachinelearning/model-loader
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1 issue received 2 new comments.
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1 pull request opened.
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Add w3c S&P self review webmachinelearning/model-loader#40, by @wacky6.
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1 pull request merged.
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Add w3c S&P self review webmachinelearning/model-loader#40.
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1 pull request received 1 new comment.
webmachinelearning/webnn-samples
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1 issue received 1 new comment.
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1 pull request opened.
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Add facial landmark detection sample webmachinelearning/webnn-samples#146, by @Honry.
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1 pull request received 1 new comment.
GitHub
webmachinelearning/webnn-native
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2 issues received 3 new comments.
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Discuss and design for the new DML backend webmachinelearning/webnn-native#192 (1 comment by @mingmingtasd)
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12 pull requests opened.
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Fixed memory error for empty values in GraphIE.cpp AddConstantWithGraph webmachinelearning/webnn-native#279, by @zesongw.
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(nnapi) Added support for zero input dimension for Gemm op webmachinelearning/webnn-native#278, by @vbenni.
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[DML] Add gru op for DML backend webmachinelearning/webnn-native#277, by @miaobin.
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Enable GPU memory trace dump webmachinelearning/webnn-native#276, by @bbernhar.
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Fix dml/dmlx memory leaks for C++ examples webmachinelearning/webnn-native#275, by @mingmingtasd.
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Roll third_party/gpgmm/ c32f9d37f..72f910e8d (229 commits) webmachinelearning/webnn-native#274, by @bbernhar.
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Refactor the DML backend webmachinelearning/webnn-native#273, by @mingmingtasd.
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Added nnapi op support for Mobilenetv2 model webmachinelearning/webnn-native#272, by @vbenni.
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[DML] Add convTranspose2d op for DML backend webmachinelearning/webnn-native#271, by @miaobin.
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Add CI for DML backend webmachinelearning/webnn-native#270, by @wangli69087.
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Add a new dml backend webmachinelearning/webnn-native#269, by @mingmingtasd.
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Revert "Add a new DirectML backend " webmachinelearning/webnn-native#268, by @fujunwei.
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11 pull requests merged.
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[DML] Add gru op for DML backend webmachinelearning/webnn-native#277.
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(nnapi) Added support for zero input dimension for Gemm op webmachinelearning/webnn-native#278.
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[DML] Add convTranspose2d op for DML backend webmachinelearning/webnn-native#271.
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Enable GPU memory trace dump webmachinelearning/webnn-native#276.
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Refactor the DML backend webmachinelearning/webnn-native#273.
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Roll third_party/gpgmm/ c32f9d37f..72f910e8d (229 commits) webmachinelearning/webnn-native#274.
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Added nnapi op support for Mobilenetv2 model webmachinelearning/webnn-native#272.
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Add CI for DML backend webmachinelearning/webnn-native#270.
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Add a new dml backend webmachinelearning/webnn-native#269.
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Use tensor policy to optimize nhwc performance webmachinelearning/webnn-native#265.
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Revert "Add a new DirectML backend " webmachinelearning/webnn-native#268.
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11 pull requests received 51 new comments.
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Fix dml/dmlx memory leaks for C++ examples webmachinelearning/webnn-native#275 (17 comments by @bbernhar, @mingmingtasd)
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[DML] Add gru op for DML backend webmachinelearning/webnn-native#277 (13 comments by @fujunwei, @miaobin, @mingmingtasd)
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[DML] Add convTranspose2d op for DML backend webmachinelearning/webnn-native#271 (8 comments by @miaobin, @mingmingtasd)
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Use tensor policy to optimize nhwc performance webmachinelearning/webnn-native#265 (3 comments by @fujunwei, @mingmingtasd)
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Add a new DirectML backend webmachinelearning/webnn-native#242 (3 comments by @fujunwei, @mingmingtasd)
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Fixed memory error for empty values in GraphIE.cpp AddConstantWithGraph webmachinelearning/webnn-native#279 (2 comments by @fujunwei)
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(nnapi) Added support for zero input dimension for Gemm op webmachinelearning/webnn-native#278 (1 comment by @fujunwei)
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Roll third_party/gpgmm/ c32f9d37f..72f910e8d (229 commits) webmachinelearning/webnn-native#274 (1 comment by @fujunwei)
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Added nnapi op support for Mobilenetv2 model webmachinelearning/webnn-native#272 (1 comment by @vbenni)
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webmachinelearning/meetings
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1 issue opened.
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WebML WG Hybrid Meeting at TPAC 2022 webmachinelearning/meetings#20, by @anssiko.
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webmachinelearning/webmachinelearning.github.io
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1 pull request opened.
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Redirect ethical-webmachinelearning -> webmachinelearning-ethics webmachinelearning/webmachinelearning.github.io#29, by @anssiko.
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1 pull request merged.
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Redirect ethical-webmachinelearning -> webmachinelearning-ethics webmachinelearning/webmachinelearning.github.io#29.
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webmachinelearning/model-loader
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2 issues opened.
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Make MLTensor strongly typed? webmachinelearning/model-loader#39, by @wacky6.
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Sync and ASync versions of function interfaces webmachinelearning/model-loader#38, by @yuhonglin.
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webmachinelearning/webnn-samples
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2 issues opened.
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Add Super Resolution sample webmachinelearning/webnn-samples#144, by @Honry.
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Need Face detection and Face Recognition samples migrated to new Framework as old ones crashing in Live camera use case webmachinelearning/webnn-samples#143, by @roshansullad.
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Past meetings
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1 meeting.
GitHub
webmachinelearning/webnn-native
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1 issue closed.
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Build error with C++17 upgrade in ChromeOS webmachinelearning/webnn-native#243.
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1 issue received 1 new comment.
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Build error with C++17 upgrade in ChromeOS webmachinelearning/webnn-native#243 (1 comment by @vbenni)
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17 pull requests opened.
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Sync infrastructure with Dawn webmachinelearning/webnn-native#267, by @lisa0314.
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Add CI for building MLAS backend on Windows platform. webmachinelearning/webnn-native#266, by @BruceDai.
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Use tensor policy to optimize nhwc performance webmachinelearning/webnn-native#265, by @mingmingtasd.
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Disable test cases of l2pool2d webmachinelearning/webnn-native#264, by @mingmingtasd.
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Rename DML backend as DMLX backend webmachinelearning/webnn-native#263, by @mingmingtasd.
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Fix a error caused by refactor webmachinelearning/webnn-native#262, by @lisa0314.
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Add CI for testing WebNN XNNPACK backend on both Windows and Linux platforms webmachinelearning/webnn-native#261, by @BruceDai.
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[Sample] Support WebNN and Polyfill switch in one page webmachinelearning/webnn-native#260, by @Honry.
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Sync infranstructure with Dawn webmachinelearning/webnn-native#259, by @fujunwei.
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Add memory leak check CI for DirectML backend. webmachinelearning/webnn-native#258, by @BruceDai.
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Update memory leak checking. webmachinelearning/webnn-native#257, by @BruceDai.
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[Node] avoid creating instance per context webmachinelearning/webnn-native#256, by @huningxin.
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Upgrade DirectML version to 1.8.2(latest) webmachinelearning/webnn-native#255, by @mingmingtasd.
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[Base]Refactor WebNN to align with Dawn webmachinelearning/webnn-native#254, by @lisa0314.
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[DML] Support convTranpose2d for DML webmachinelearning/webnn-native#253, by @miaobin.
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[IE] Map the transpose option of Gemm to the parameters of MatMul. webmachinelearning/webnn-native#252, by @miaobin.
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Add ResNet50V2 Nhwc model tests webmachinelearning/webnn-native#251, by @mingmingtasd.
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17 pull requests merged.
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Add a new DirectML backend webmachinelearning/webnn-native#242.
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Add CI for building MLAS backend on Windows platform. webmachinelearning/webnn-native#266.
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Disable test cases of l2pool2d webmachinelearning/webnn-native#264.
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Add NNAPI backend support webmachinelearning/webnn-native#178.
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Rename DML backend as DMLX backend webmachinelearning/webnn-native#263.
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[DML] Support convTranpose2d for DML webmachinelearning/webnn-native#253.
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Add ResNet50V2 Nhwc model tests webmachinelearning/webnn-native#251.
-
Add CI for testing WebNN XNNPACK backend on both Windows and Linux platforms webmachinelearning/webnn-native#261.
-
Fix a error caused by refactor webmachinelearning/webnn-native#262.
-
[Sample] Support WebNN and Polyfill switch in one page webmachinelearning/webnn-native#260.
-
[Base]Refactor WebNN to align with Dawn webmachinelearning/webnn-native#254.
-
Add memory leak check CI for DirectML backend. webmachinelearning/webnn-native#258.
-
[Node] avoid creating instance per context webmachinelearning/webnn-native#256.
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[IE] Map the transpose option of Gemm to the parameters of MatMul. webmachinelearning/webnn-native#252.
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Upgrade DirectML version to 1.8.2(latest) webmachinelearning/webnn-native#255.
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Explicitly calculate the padding and output size of convTranspose2d. webmachinelearning/webnn-native#226.
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[XNNPACK] optimize the compute performance webmachinelearning/webnn-native#249.
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3 pull requests closed.
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Sync infranstructure with Dawn webmachinelearning/webnn-native#259.
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Revert "Revert "Add check memory leak for windows"" webmachinelearning/webnn-native#250.
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Update memory leak checking. webmachinelearning/webnn-native#257.
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-
18 pull requests received 102 new comments.
-
Rename DML backend as DMLX backend webmachinelearning/webnn-native#263 (17 comments by @BruceDai, @fujunwei, @mingmingtasd)
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[DML] Support convTranpose2d for DML webmachinelearning/webnn-native#253 (17 comments by @fujunwei, @miaobin, @mingmingtasd)
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Add ResNet50V2 Nhwc model tests webmachinelearning/webnn-native#251 (16 comments by @BruceDai, @fujunwei, @huningxin, @mingmingtasd)
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Use tensor policy to optimize nhwc performance webmachinelearning/webnn-native#265 (15 comments by @fujunwei, @mingmingtasd)
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Add a new DirectML backend webmachinelearning/webnn-native#242 (6 comments by @fujunwei, @mingmingtasd)
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Add CI for testing WebNN XNNPACK backend on both Windows and Linux platforms webmachinelearning/webnn-native#261 (5 comments by @BruceDai, @fujunwei, @lisa0314)
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Disable test cases of l2pool2d webmachinelearning/webnn-native#264 (4 comments by @BruceDai, @fujunwei, @mingmingtasd)
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Add NNAPI backend support webmachinelearning/webnn-native#178 (4 comments by @fujunwei, @ibelem, @mingmingtasd)
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[Sample] Support WebNN and Polyfill switch in one page webmachinelearning/webnn-native#260 (3 comments by @BruceDai, @fujunwei, @Honry)
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[XNNPACK] optimize the compute performance webmachinelearning/webnn-native#249 (3 comments by @fujunwei, @huningxin)
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Sync infranstructure with Dawn webmachinelearning/webnn-native#259 (2 comments by @fujunwei, @lisa0314)
-
[Base]Refactor WebNN to align with Dawn webmachinelearning/webnn-native#254 (2 comments by @fujunwei, @lisa0314)
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[IE] Map the transpose option of Gemm to the parameters of MatMul. webmachinelearning/webnn-native#252 (2 comments by @fujunwei, @miaobin)
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Explicitly calculate the padding and output size of convTranspose2d. webmachinelearning/webnn-native#226 (2 comments by @fujunwei, @miaobin)
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Add memory leak check CI for DirectML backend. webmachinelearning/webnn-native#258 (1 comment by @fujunwei)
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[Node] avoid creating instance per context webmachinelearning/webnn-native#256 (1 comment by @huningxin)
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Upgrade DirectML version to 1.8.2(latest) webmachinelearning/webnn-native#255 (1 comment by @fujunwei)
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webmachinelearning/model-loader
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1 issue opened.
-
Rough ETA/roadmap? webmachinelearning/model-loader#36, by @josephrocca.
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-
1 issue closed.
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Open question: how to version this API webmachinelearning/model-loader#25.
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1 issue reopened.
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Rough ETA/roadmap? webmachinelearning/model-loader#36, by @josephrocca.
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-
2 issues received 7 new comments.
-
Rough ETA/roadmap? webmachinelearning/model-loader#36 (5 comments by @jbingham, @josephrocca, @yuhonglin)
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Open question: how to version this API webmachinelearning/model-loader#25 (2 comments by @anssiko, @yuhonglin)
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1 pull request opened.
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Update IDL files webmachinelearning/model-loader#37, by @yuhonglin.
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1 pull request merged.
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Update IDL files webmachinelearning/model-loader#37.
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1 pull request received 3 new comments.
webmachinelearning/webmachinelearning.github.io
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1 pull request opened.
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Use the WebNN API spec TR version webmachinelearning/webmachinelearning.github.io#28, by @anssiko.
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1 pull request merged.
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Use the WebNN API spec TR version webmachinelearning/webmachinelearning.github.io#28.
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webmachinelearning/webnn-baseline
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1 pull request merged.
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Add WebNN baseline implementation for first-wave ops webmachinelearning/webnn-baseline#1.
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1 pull request received 1 new comment.
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Add WebNN baseline implementation for first-wave ops webmachinelearning/webnn-baseline#1 (1 comment by @anssiko)
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webmachinelearning/webnn-samples
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2 pull requests opened.
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Remove ResNet101 webmachinelearning/webnn-samples#142, by @Honry.
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Support webnn and polyfill switch in one page webmachinelearning/webnn-samples#141, by @Honry.
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2 pull requests merged.
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Remove ResNet101 webmachinelearning/webnn-samples#142.
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Support webnn and polyfill switch in one page webmachinelearning/webnn-samples#141.
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1 pull request closed.
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Make some improvements webmachinelearning/webnn-samples#138.
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3 pull requests received 8 new comments.
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Support webnn and polyfill switch in one page webmachinelearning/webnn-samples#141 (5 comments by @BruceDai, @Honry)
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Past meetings
-
1 meeting.
Participants
-
1 participant joined.
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Arvind Murching (Microsoft Corporation) joined.
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1 participant left.
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Joshue O'Connor (W3C) left.
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GitHub
webmachinelearning/webnn-native
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2 issues opened.
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Auto rolling DEPS webmachinelearning/webnn-native#248, by @bbernhar.
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Build error with C++17 upgrade in ChromeOS webmachinelearning/webnn-native#243, by @vbenni.
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3 issues closed.
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[DML] Enable precise DML memory debugging webmachinelearning/webnn-native#215.
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[DML] Using DirectMLX.h can't set roundingType or outputSizes for pool2d webmachinelearning/webnn-native#184.
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[DML] Upgrade DirectMLX to the latest version webmachinelearning/webnn-native#217.
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3 issues received 8 new comments.
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Build error with C++17 upgrade in ChromeOS webmachinelearning/webnn-native#243 (4 comments by @lisa0314, @vbenni)
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Auto rolling DEPS webmachinelearning/webnn-native#248 (3 comments by @bbernhar, @BruceDai, @fujunwei)
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[DML] Enable precise DML memory debugging webmachinelearning/webnn-native#215 (1 comment by @bbernhar)
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18 pull requests opened.
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Revert "Revert "Add check memory leak for windows"" webmachinelearning/webnn-native#250, by @fujunwei.
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[XNNPACK] optimize the compute performance webmachinelearning/webnn-native#249, by @huningxin.
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Fix residency management leak when device destructs. webmachinelearning/webnn-native#247, by @bbernhar.
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[XNNPACK] fix memory leak webmachinelearning/webnn-native#246, by @huningxin.
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Revert "Revert "Add check memory leak for windows"" webmachinelearning/webnn-native#245, by @fujunwei.
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Roll third_party/gpgmm/ c5cd36d84..c32f9d37f (63 commits) webmachinelearning/webnn-native#244, by @bbernhar.
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Add a new DirectML backend webmachinelearning/webnn-native#242, by @mingmingtasd.
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[XNNPACK] create pthreadpool per backend webmachinelearning/webnn-native#241, by @huningxin.
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[XNNPACK] upgrade to support MSVC static runtime lib webmachinelearning/webnn-native#240, by @huningxin.
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XNNPACK backend supports subgraph API webmachinelearning/webnn-native#239, by @huningxin.
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Break reference between Operand and Operater webmachinelearning/webnn-native#238, by @fujunwei.
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Upgrade DirectML version to 1.6.0 webmachinelearning/webnn-native#237, by @mingmingtasd.
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Revert "Add check memory leak for windows" webmachinelearning/webnn-native#236, by @fujunwei.
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Roll third_party/gpgmm/ 1e5ae0071..c5cd36d84 (181 commits) webmachinelearning/webnn-native#235, by @bbernhar.
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Link dawn library when building debug version chromium that is component build webmachinelearning/webnn-native#234, by @fujunwei.
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[Base] make ComputeImpl return MaybeError webmachinelearning/webnn-native#233, by @lisa0314.
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Enable webnn wire for CI test webmachinelearning/webnn-native#232, by @fujunwei.
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Upgrade to C++17 webmachinelearning/webnn-native#231, by @lisa0314.
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17 pull requests merged.
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Fix residency management leak when device destructs. webmachinelearning/webnn-native#247.
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[XNNPACK] fix memory leak webmachinelearning/webnn-native#246.
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Roll third_party/gpgmm/ c5cd36d84..c32f9d37f (63 commits) webmachinelearning/webnn-native#244.
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[XNNPACK] create pthreadpool per backend webmachinelearning/webnn-native#241.
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Upgrade DirectML version to 1.6.0 webmachinelearning/webnn-native#237.
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[XNNPACK] upgrade to support MSVC static runtime lib webmachinelearning/webnn-native#240.
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XNNPACK backend supports subgraph API webmachinelearning/webnn-native#239.
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Revert "Add check memory leak for windows" webmachinelearning/webnn-native#236.
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Break reference between Operand and Operater webmachinelearning/webnn-native#238.
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Link dawn library when building debug version chromium that is component build webmachinelearning/webnn-native#234.
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[Base] make ComputeImpl return MaybeError webmachinelearning/webnn-native#233.
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Add check memory leak for windows webmachinelearning/webnn-native#201.
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Roll third_party/gpgmm/ 1e5ae0071..c5cd36d84 (181 commits) webmachinelearning/webnn-native#235.
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Enable webnn wire for CI test webmachinelearning/webnn-native#232.
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Support GPUBuffer input type and ArrayBufferView webmachinelearning/webnn-native#228.
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Upgrade to C++17 webmachinelearning/webnn-native#231.
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Update DirectMLX.h to enhance support for pool2d webmachinelearning/webnn-native#229.
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2 pull requests closed.
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Revert "Revert "Add check memory leak for windows"" webmachinelearning/webnn-native#245.
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Implement DML backend to support first-wave ops webmachinelearning/webnn-native#225.
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21 pull requests received 86 new comments.
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Support GPUBuffer input type and ArrayBufferView webmachinelearning/webnn-native#228 (12 comments by @fujunwei, @huningxin)
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[Base] make ComputeImpl return MaybeError webmachinelearning/webnn-native#233 (11 comments by @fujunwei, @lisa0314)
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XNNPACK backend supports subgraph API webmachinelearning/webnn-native#239 (8 comments by @fujunwei, @huningxin)
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Upgrade DirectML version to 1.6.0 webmachinelearning/webnn-native#237 (6 comments by @fujunwei, @huningxin, @mingmingtasd)
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Revert "Add check memory leak for windows" webmachinelearning/webnn-native#236 (6 comments by @BruceDai, @huningxin)
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Add check memory leak for windows webmachinelearning/webnn-native#201 (5 comments by @BruceDai, @fujunwei, @wangli69087)
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Update DirectMLX.h to enhance support for pool2d webmachinelearning/webnn-native#229 (5 comments by @fujunwei, @mingmingtasd)
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Break reference between Operand and Operater webmachinelearning/webnn-native#238 (4 comments by @fujunwei, @huningxin)
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Enable webnn wire for CI test webmachinelearning/webnn-native#232 (4 comments by @fujunwei, @lisa0314)
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Add a new DirectML backend webmachinelearning/webnn-native#242 (3 comments by @fujunwei, @huningxin, @mingmingtasd)
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[XNNPACK] fix memory leak webmachinelearning/webnn-native#246 (3 comments by @BruceDai, @fujunwei, @huningxin)
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Explicitly calculate the padding and output size of convTranspose2d. webmachinelearning/webnn-native#226 (3 comments by @fujunwei, @miaobin)
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Fix residency management leak when device destructs. webmachinelearning/webnn-native#247 (2 comments by @bbernhar, @fujunwei)
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Roll third_party/gpgmm/ c5cd36d84..c32f9d37f (63 commits) webmachinelearning/webnn-native#244 (2 comments by @bbernhar, @fujunwei)
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Link dawn library when building debug version chromium that is component build webmachinelearning/webnn-native#234 (2 comments by @fujunwei)
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Roll third_party/gpgmm/ 1e5ae0071..c5cd36d84 (181 commits) webmachinelearning/webnn-native#235 (2 comments by @bbernhar)
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Revert "Revert "Add check memory leak for windows"" webmachinelearning/webnn-native#245 (1 comment by @fujunwei)
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Implement DML backend to support first-wave ops webmachinelearning/webnn-native#225 (1 comment by @mingmingtasd)
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[XNNPACK] create pthreadpool per backend webmachinelearning/webnn-native#241 (1 comment by @fujunwei)
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webmachinelearning/webnn-samples
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5 pull requests opened.
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Make some improvements webmachinelearning/webnn-samples#138, by @Honry.
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Add webnn badge in page footer and ui update webmachinelearning/webnn-samples#137, by @ibelem.
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UI update for WebNN Samples and sub pages webmachinelearning/webnn-samples#136, by @ibelem.
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Revert "network performance - update the model file urls to amazon s3" webmachinelearning/webnn-samples#135, by @ibelem.
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network performance - update the model file urls to amazon s3 webmachinelearning/webnn-samples#134, by @ibelem.
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4 pull requests merged.
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Add webnn badge in page footer and ui update webmachinelearning/webnn-samples#137.
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UI update for WebNN Samples and sub pages webmachinelearning/webnn-samples#136.
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Revert "network performance - update the model file urls to amazon s3" webmachinelearning/webnn-samples#135.
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network performance - update the model file urls to amazon s3 webmachinelearning/webnn-samples#134.
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3 pull requests received 9 new comments.
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UI update for WebNN Samples and sub pages webmachinelearning/webnn-samples#136 (5 comments by @Honry, @ibelem)
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network performance - update the model file urls to amazon s3 webmachinelearning/webnn-samples#134 (2 comments by @Honry, @ibelem)
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webmachinelearning/webmachinelearning.github.io
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1 issue closed.
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Navigation webmachinelearning/webmachinelearning.github.io#12.
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4 pull requests opened.
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Update logo paths webmachinelearning/webmachinelearning.github.io#25, by @anssiko.
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Add a new subpage for Logos webmachinelearning/webmachinelearning.github.io#24, by @anssiko.
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Update Google Analytics for portal webmachinelearning/webmachinelearning.github.io#23, by @ibelem.
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5 pull requests merged.
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Svg logos webmachinelearning/webmachinelearning.github.io#26.
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Update logo paths webmachinelearning/webmachinelearning.github.io#25.
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Add a new subpage for Logos webmachinelearning/webmachinelearning.github.io#24.
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Update Google Analytics for portal webmachinelearning/webmachinelearning.github.io#23.
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Add logos webmachinelearning/webmachinelearning.github.io#21.
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3 pull requests received 8 new comments.
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Update logo paths webmachinelearning/webmachinelearning.github.io#25 (3 comments by @anssiko, @ibelem)
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Update Google Analytics for portal webmachinelearning/webmachinelearning.github.io#23 (3 comments by @anssiko, @belem)
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Add a new subpage for Logos webmachinelearning/webmachinelearning.github.io#24 (2 comments by @anssiko, @ibelem)
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webmachinelearning/model-loader
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2 issues received 3 new comments.
-
WebNN's WPT test seems blocking the CL submission of Model Loader API webmachinelearning/model-loader#31 (2 comments by @BruceDai, @yuhonglin)
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Past meetings
-
1 meeting.
Participants
-
1 participant joined.
-
Miki Hoshii joined.
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GitHub
webmachinelearning/webnn-native
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5 issues opened.
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Implement DirectML backend for Windows with 20 FP32 first-wave ops webmachinelearning/webnn-native#230, by @mingmingtasd.
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Add more end2end tests for concat op with input num > 2 webmachinelearning/webnn-native#224, by @mingmingtasd.
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[DML] Optimizations to improve DML memory utilization webmachinelearning/webnn-native#221, by @bbernhar.
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[DML] Failed to run some Gemm and Pool2d tests on debug version webmachinelearning/webnn-native#218, by @mingmingtasd.
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[DML] Upgrade DirectMLX to the latest version webmachinelearning/webnn-native#217, by @mingmingtasd.
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8 issues closed.
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Add more end2end tests for concat op with input num > 2 webmachinelearning/webnn-native#224.
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[DML] Failed to run some Gemm and Pool2d tests on debug version webmachinelearning/webnn-native#218.
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[DML] Support 'roundingType' and 'outputSizes' options for pool2d operations webmachinelearning/webnn-native#155.
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[IE] Support 'roundingType' and 'outputSizes' options for pool2d operations webmachinelearning/webnn-native#154.
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[DML] respect the power preference for adaptor selection webmachinelearning/webnn-native#200.
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[Base] Support gMock tests webmachinelearning/webnn-native#189.
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Typo issue for 'lower-power' in README files. webmachinelearning/webnn-native#213.
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[MLAS] build failure caused by recent code refactory webmachinelearning/webnn-native#211.
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6 issues received 6 new comments.
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[DML] Support 'roundingType' and 'outputSizes' options for pool2d operations webmachinelearning/webnn-native#155 (1 comment by @mingmingtasd)
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[IE] Support 'roundingType' and 'outputSizes' options for pool2d operations webmachinelearning/webnn-native#154 (1 comment by @mingmingtasd)
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[DML] respect the power preference for adaptor selection webmachinelearning/webnn-native#200 (1 comment by @mingmingtasd)
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Typo issue for 'lower-power' in README files. webmachinelearning/webnn-native#213 (1 comment by @mingmingtasd)
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[DML] Upgrade DirectMLX to the latest version webmachinelearning/webnn-native#217 (1 comment by @mingmingtasd)
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10 pull requests opened.
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Update DirectMLX.h to enhance support for pool2d webmachinelearning/webnn-native#229, by @mingmingtasd.
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Support GPUBuffer input type and ArrayBufferView webmachinelearning/webnn-native#228, by @fujunwei.
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Add more end2end tests for concat op with input num > 2 webmachinelearning/webnn-native#227, by @mingmingtasd.
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Explicitly calculate the padding and output size of convTranspose2d. webmachinelearning/webnn-native#226, by @miaobin.
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Implement DML backend to support first-wave ops webmachinelearning/webnn-native#225, by @mingmingtasd.
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Support powerPreference option for webnn-samples webmachinelearning/webnn-native#223, by @Honry.
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The tests in webnn-polyfill can run continuously without crash webmachinelearning/webnn-native#222, by @fujunwei.
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Add graph compute async api webmachinelearning/webnn-native#220, by @fujunwei.
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Fix Gemm issues on debug version webmachinelearning/webnn-native#219, by @mingmingtasd.
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Fix the concat issue when the number of inputs is greater than 2 webmachinelearning/webnn-native#216, by @mingmingtasd.
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10 pull requests merged.
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The tests in webnn-polyfill can run continuously without crash webmachinelearning/webnn-native#222.
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Add more end2end tests for concat op with input num > 2 webmachinelearning/webnn-native#227.
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Support powerPreference option for webnn-samples webmachinelearning/webnn-native#223.
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Add graph compute async api webmachinelearning/webnn-native#220.
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Fix Gemm issues on debug version webmachinelearning/webnn-native#219.
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Support Gru on DML backend webmachinelearning/webnn-native#138.
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Fix the concat issue when the number of inputs is greater than 2 webmachinelearning/webnn-native#216.
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Support gMock tests webmachinelearning/webnn-native#188.
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[MLAS] fix the build issue webmachinelearning/webnn-native#212.
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Fix compiled issue when building with chromium webmachinelearning/webnn-native#207.
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1 pull request reopened.
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Explicitly calculate the padding and output size of convTranspose2d. webmachinelearning/webnn-native#226, by @miaobin.
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10 pull requests received 45 new comments.
-
Update DirectMLX.h to enhance support for pool2d webmachinelearning/webnn-native#229 (10 comments by @fujunwei, @mingmingtasd)
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Explicitly calculate the padding and output size of convTranspose2d. webmachinelearning/webnn-native#226 (10 comments by @fujunwei, @miaobin)
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Fix Gemm issues on debug version webmachinelearning/webnn-native#219 (5 comments by @fujunwei, @mingmingtasd)
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Fix the concat issue when the number of inputs is greater than 2 webmachinelearning/webnn-native#216 (5 comments by @fujunwei, @huningxin, @mingmingtasd)
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The tests in webnn-polyfill can run continuously without crash webmachinelearning/webnn-native#222 (2 comments by @fujunwei)
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Support powerPreference option for webnn-samples webmachinelearning/webnn-native#223 (2 comments by @fujunwei, @Honry)
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Add more end2end tests for concat op with input num > 2 webmachinelearning/webnn-native#227 (1 comment by @BruceDai)
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webmachinelearning/webnn-samples
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1 pull request opened.
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Test samples by WebGPU bakcend for Arraybuffer. webmachinelearning/webnn-samples#132, by @BruceDai.
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2 pull requests merged.
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Add Google Analytics measurement (gtag) ID webmachinelearning/webnn-samples#125.
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Support powerPreference option via url param webmachinelearning/webnn-samples#130.
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webmachinelearning/model-loader
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10 issues opened.
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DevicePreference: "GPU" => "GpuRequired" and "GpuPreferred" webmachinelearning/model-loader#35, by @yuhonglin.
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Add performance/usage Hints webmachinelearning/model-loader#34, by @yuhonglin.
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Integration of media capture transform webmachinelearning/model-loader#33, by @yuhonglin.
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WebNN's WPT test seems blocking the CL submission of Model Loader API webmachinelearning/model-loader#31, by @yuhonglin.
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"default" v.s. "auto" in MLDevicePreference and MLPowerPreference webmachinelearning/model-loader#30, by @yuhonglin.
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Open Question: best name of the model loaded by this API webmachinelearning/model-loader#29, by @yuhonglin.
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Standard model format webmachinelearning/model-loader#28, by @jbingham.
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Open question: should we enable the user to explicitly control whether and what hardware accelerator is used? webmachinelearning/model-loader#27, by @yuhonglin.
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Open Question: Add async/streaming interface? webmachinelearning/model-loader#26, by @yuhonglin.
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Open question: how to version this API webmachinelearning/model-loader#25, by @yuhonglin.
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2 issues closed.
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Open Question: best name of the model loaded by this API webmachinelearning/model-loader#29.
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Is there any code that can be downloaded/imported? webmachinelearning/model-loader#5.
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9 issues received 19 new comments.
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WebNN's WPT test seems blocking the CL submission of Model Loader API webmachinelearning/model-loader#31 (4 comments by @huningxin, @yuhonglin)
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Open Question: best name of the model loaded by this API webmachinelearning/model-loader#29 (4 comments by @anssiko, @huningxin, @yuhonglin)
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"default" v.s. "auto" in MLDevicePreference and MLPowerPreference webmachinelearning/model-loader#30 (3 comments by @anssiko, @huningxin, @yuhonglin)
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Web-standard ML model format webmachinelearning/model-loader#15 (2 comments by @jbingham, @josephrocca)
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Open Question: Add async/streaming interface? webmachinelearning/model-loader#26 (1 comment by @yuhonglin)
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Is there any code that can be downloaded/imported? webmachinelearning/model-loader#5 (1 comment by @anssiko)
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1 pull request opened.
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spec: update MLModelLoaded to MLModel webmachinelearning/model-loader#32, by @wacky6.
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1 pull request merged.
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spec: update MLModelLoaded to MLModel webmachinelearning/model-loader#32.
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webmachinelearning/webmachinelearning.github.io
Past meetings
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1 meeting.
Participants
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3 participants joined.
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Yuvrajsingh Thakur (Hopin) joined.
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Saurabh Nandwana joined.
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xiaojun gu (Huawei) joined.
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1 participant left.
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Romain Beaumont (Criteo) left.
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1 organization joined.
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Hopin joined.
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GitHub
webmachinelearning/webnn-native
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6 issues opened.
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[DML] Enable precise DML memory debugging webmachinelearning/webnn-native#215, by @bbernhar.
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Typo issue for 'lower-power' in README files. webmachinelearning/webnn-native#213, by @BruceDai.
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[MLAS] build failure caused by recent code refactory webmachinelearning/webnn-native#211, by @huningxin.
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[CI] Recent CI failed on Windows platform webmachinelearning/webnn-native#209, by @BruceDai.
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"ML" prefix C API conflict with WebNN IDL definition webmachinelearning/webnn-native#208, by @fujunwei.
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[DML] respect the power preference for adaptor selection webmachinelearning/webnn-native#200, by @huningxin.
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3 issues closed.
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[CI] Recent CI failed on Windows platform webmachinelearning/webnn-native#209.
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"ML" prefix C API conflict with WebNN IDL definition webmachinelearning/webnn-native#208.
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Reduce WebNN/DML tensor memory usage due to misalignment. webmachinelearning/webnn-native#199.
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4 issues received 4 new comments.
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Typo issue for 'lower-power' in README files. webmachinelearning/webnn-native#213 (1 comment by @BruceDai)
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[CI] Recent CI failed on Windows platform webmachinelearning/webnn-native#209 (1 comment by @BruceDai)
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[DML] Using DirectMLX.h can't set roundingType or outputSizes for pool2d webmachinelearning/webnn-native#184 (1 comment by @mingmingtasd)
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Reduce WebNN/DML tensor memory usage due to misalignment. webmachinelearning/webnn-native#199 (1 comment by @bbernhar)
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10 pull requests opened.
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Fix the typo issue in readme webmachinelearning/webnn-native#214, by @mingmingtasd.
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[MLAS] fix the build issue webmachinelearning/webnn-native#212, by @huningxin.
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Use Windows Server 2019 environment for CI on Windows platform. webmachinelearning/webnn-native#210, by @BruceDai.
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Fix compiled issue when building with chromium webmachinelearning/webnn-native#207, by @fujunwei.
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Rename the prefix of C API from ML to WNN, namespace ml to wnn webmachinelearning/webnn-native#206, by @fujunwei.
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Enable DML leak detection. webmachinelearning/webnn-native#205, by @bbernhar.
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Update readme for selecting iGPU/dGPU webmachinelearning/webnn-native#204, by @mingmingtasd.
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Support selecting iGPU/dGPU on DML backend webmachinelearning/webnn-native#203, by @mingmingtasd.
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Roll third_party/gpgmm/ 7c81fae56..c52956998 (157 commits) webmachinelearning/webnn-native#202, by @bbernhar.
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Add check memory leak for windows webmachinelearning/webnn-native#201, by @wangli69087.
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8 pull requests merged.
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Fix the typo issue in readme webmachinelearning/webnn-native#214.
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Use Windows Server 2019 environment for CI on Windows platform. webmachinelearning/webnn-native#210.
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Rename the prefix of C API from ML to WNN, namespace ml to wnn webmachinelearning/webnn-native#206.
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Enable DML leak detection. webmachinelearning/webnn-native#205.
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Update readme for selecting iGPU/dGPU webmachinelearning/webnn-native#204.
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Support selecting iGPU/dGPU on DML backend webmachinelearning/webnn-native#203.
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Roll third_party/gpgmm/ 7c81fae56..c52956998 (157 commits) webmachinelearning/webnn-native#202.
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Define webnn_wire.json and generate client code webmachinelearning/webnn-native#130.
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10 pull requests received 48 new comments.
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Define webnn_wire.json and generate client code webmachinelearning/webnn-native#130 (28 comments by @fujunwei, @huningxin)
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Support selecting iGPU/dGPU on DML backend webmachinelearning/webnn-native#203 (5 comments by @fujunwei, @huningxin, @mingmingtasd)
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Fix the typo issue in readme webmachinelearning/webnn-native#214 (3 comments by @fujunwei, @mingmingtasd)
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Use Windows Server 2019 environment for CI on Windows platform. webmachinelearning/webnn-native#210 (3 comments by @BruceDai, @miaobin)
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Add check memory leak for windows webmachinelearning/webnn-native#201 (2 comments by @bbernhar, @fujunwei)
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Rename the prefix of C API from ML to WNN, namespace ml to wnn webmachinelearning/webnn-native#206 (1 comment by @fujunwei)
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Roll third_party/gpgmm/ 7c81fae56..c52956998 (157 commits) webmachinelearning/webnn-native#202 (1 comment by @fujunwei)
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webmachinelearning/webnn-samples
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1 pull request opened.
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Support powerPreference option via url param webmachinelearning/webnn-samples#130, by @Honry.
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1 pull request received 1 new comment.
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Support powerPreference option via url param webmachinelearning/webnn-samples#130 (1 comment by @Honry)
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webmachinelearning/webnn-baseline
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1 pull request received 5 new comments.
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Add WebNN baseline implementation for first-wave ops webmachinelearning/webnn-baseline#1 (5 comments by @anssiko, @dontcallmedom, @huningxin)
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webmachinelearning/model-loader
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1 issue opened.
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Open question: support for non-IEEE 754 float point types webmachinelearning/model-loader#23, by @wacky6.
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1 issue received 1 new comment.
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Open question: support for non-IEEE 754 float point types webmachinelearning/model-loader#23 (1 comment by @josephrocca)
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1 pull request opened.
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Add 'default' option to MLDevicePreference and MLPowerPreference webmachinelearning/model-loader#24, by @wonsuk73.
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Past meetings
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1 meeting.
Participants
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1 participant joined.
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Wentao Kong (Alibaba Group) joined.
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2 participants left.
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Luca Iaconelli left.
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Wentao Kong (Alibaba Group) left.
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GitHub
webmachinelearning/webnn-baseline
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1 pull request opened.
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Add WebNN baseline implementation for first-wave ops webmachinelearning/webnn-baseline#1, by @huningxin.
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1 pull request received 1 new comment.
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Add WebNN baseline implementation for first-wave ops webmachinelearning/webnn-baseline#1 (1 comment by @dontcallmedom)
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webmachinelearning/webmachinelearning.github.io
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2 pull requests opened.
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Update Google Analytics measurement (gtag) ID webmachinelearning/webmachinelearning.github.io#19, by @ibelem.
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Add Meeting Calendars webmachinelearning/webmachinelearning.github.io#18, by @anssiko.
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2 pull requests merged.
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Update Google Analytics measurement (gtag) ID webmachinelearning/webmachinelearning.github.io#19.
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Add Meeting Calendars webmachinelearning/webmachinelearning.github.io#18.
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webmachinelearning/webnn-samples
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2 issues opened.
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Run semantic segmentation sample on full GPU pipeline webmachinelearning/webnn-samples#124, by @huningxin.
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Fast style transfer error webmachinelearning/webnn-samples#118, by @dirkk0.
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1 issue closed.
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hi i want to use webnn for noise supression in my application. could someone guide me how to start and any sample code or anything helpfull webmachinelearning/webnn-samples#81.
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2 issues received 4 new comments.
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Run semantic segmentation sample on full GPU pipeline webmachinelearning/webnn-samples#124 (2 comments by @huningxin)
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hi i want to use webnn for noise supression in my application. could someone guide me how to start and any sample code or anything helpfull webmachinelearning/webnn-samples#81 (2 comments by @Honry, @miaobin)
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1 pull request opened.
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Add Google Analytics measurement (gtag) ID webmachinelearning/webnn-samples#125, by @ibelem.
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3 pull requests merged.
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Make sure video output is synchronous webmachinelearning/webnn-samples#115.
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Split transposed convolution to convTranspose2d webmachinelearning/webnn-samples#116.
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Reuse rest samples in Electron.js webmachinelearning/webnn-samples#109.
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2 pull requests received 7 new comments.
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Split transposed convolution to convTranspose2d webmachinelearning/webnn-samples#116 (4 comments by @BruceDai, @Honry)
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Make sure video output is synchronous webmachinelearning/webnn-samples#115 (3 comments by @Honry, @huningxin, @ibelem)
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webmachinelearning/webnn-native
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3 issues opened.
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Reduce WebNN/DML tensor memory usage due to misalignment. webmachinelearning/webnn-native#199, by @bbernhar.
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WebNN-Native does not build using latest Chromium/Dawn DEPS under Third Party. webmachinelearning/webnn-native#196, by @bbernhar.
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Discuss and design for the new DML backend webmachinelearning/webnn-native#192, by @mingmingtasd.
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4 issues closed.
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WebNN-Native does not build using latest Chromium/Dawn DEPS under Third Party. webmachinelearning/webnn-native#196.
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[DML] Use DirectML directly instead of the wrapper DirectMLX webmachinelearning/webnn-native#172.
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[DML] Implement Sigmoid and Add without using DirectMLX webmachinelearning/webnn-native#175.
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[Gpgmm] The third_party/gpgmm is always modified on windows but I actually haven't modified it. webmachinelearning/webnn-native#183.
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3 issues received 7 new comments.
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WebNN-Native does not build using latest Chromium/Dawn DEPS under Third Party. webmachinelearning/webnn-native#196 (5 comments by @bbernhar, @fujunwei, @huningxin)
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[DML] Use DirectML directly instead of the wrapper DirectMLX webmachinelearning/webnn-native#172 (1 comment by @mingmingtasd)
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[Gpgmm] The third_party/gpgmm is always modified on windows but I actually haven't modified it. webmachinelearning/webnn-native#183 (1 comment by @fujunwei)
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6 pull requests opened.
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Fix Graph::AddGemm from variable shadowing. webmachinelearning/webnn-native#198, by @bbernhar.
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Fix the issue of no space in CI webmachinelearning/webnn-native#197, by @BruceDai.
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Support MLAS backend webmachinelearning/webnn-native#195, by @huningxin.
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Remove -Wreturn-std-move-in-c++11 webmachinelearning/webnn-native#194, by @bbernhar.
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Fix GN generation failure when building WebNN's common target from \\third_party. webmachinelearning/webnn-native#193, by @bbernhar.
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Revert "[MLAS] add the initial implementation of MLAS backend" webmachinelearning/webnn-native#191, by @huningxin.
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10 pull requests merged.
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[IE/DML] Split conv2d to conv2d and convTranspose2d. webmachinelearning/webnn-native#182.
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Support roundingType and outputSizes for pool2d on OV/DML webmachinelearning/webnn-native#185.
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Fix Graph::AddGemm from variable shadowing. webmachinelearning/webnn-native#198.
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Fix the issue of no space in CI webmachinelearning/webnn-native#197.
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Support MLAS backend webmachinelearning/webnn-native#195.
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Remove -Wreturn-std-move-in-c++11 webmachinelearning/webnn-native#194.
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Fix GN generation failure when building WebNN's common target from \\third_party. webmachinelearning/webnn-native#193.
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Add instance class to control the lifetime of all contexts webmachinelearning/webnn-native#190.
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Remove tracked thirdparty/gpgmm in github webmachinelearning/webnn-native#187.
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Revert "[MLAS] add the initial implementation of MLAS backend" webmachinelearning/webnn-native#191.
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2 pull requests closed.
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Rename Operator to FusionOperator in webnn.json webmachinelearning/webnn-native#186.
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[DML] Enable Sigmoid and Add on DML without using DirectMLX.h webmachinelearning/webnn-native#176.
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14 pull requests received 47 new comments.
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Support roundingType and outputSizes for pool2d on OV/DML webmachinelearning/webnn-native#185 (10 comments by @fujunwei, @mingmingtasd)
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[IE/DML] Split conv2d to conv2d and convTranspose2d. webmachinelearning/webnn-native#182 (9 comments by @fujunwei, @miaobin)
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Support MLAS backend webmachinelearning/webnn-native#195 (5 comments by @BruceDai, @fujunwei, @huningxin)
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Add instance class to control the lifetime of all contexts webmachinelearning/webnn-native#190 (4 comments by @fujunwei, @huningxin)
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Remove tracked thirdparty/gpgmm in github webmachinelearning/webnn-native#187 (4 comments by @fujunwei, @mingmingtasd)
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Fix Graph::AddGemm from variable shadowing. webmachinelearning/webnn-native#198 (3 comments by @bbernhar, @fujunwei)
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[MLAS] add the initial implementation of MLAS backend webmachinelearning/webnn-native#179 (3 comments by @fujunwei, @huningxin)
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Remove -Wreturn-std-move-in-c++11 webmachinelearning/webnn-native#194 (2 comments by @bbernhar, @fujunwei)
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Fix GN generation failure when building WebNN's common target from \\third_party. webmachinelearning/webnn-native#193 (2 comments by @bbernhar, @fujunwei)
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Define webnn_wire.json and generate client code webmachinelearning/webnn-native#130 (1 comment by @fujunwei)
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Rename Operator to FusionOperator in webnn.json webmachinelearning/webnn-native#186 (1 comment by @fujunwei)
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Revert "[MLAS] add the initial implementation of MLAS backend" webmachinelearning/webnn-native#191 (1 comment by @fujunwei)
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webmachinelearning/model-loader
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1 issue opened.
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Consider using Permission Policy to control feature availability webmachinelearning/model-loader#22, by @wacky6.
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webmachinelearning/test-data
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1 pull request merged.
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Revert "Update filter data of ConvTranspose for Fast Style Transfer nchw models." webmachinelearning/test-data#15.
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