Web Machine Learning Community Group - Activity in 2021
No matches.
Participants
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1 participant joined.
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Andre Dantas (SAP SE) joined.
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1 organization joined.
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SAP SE joined.
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GitHub
webmachinelearning/webnn-native
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4 issues opened.
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[Base] Support gMock tests webmachinelearning/webnn-native#189, by @mingmingtasd.
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[DML] Using DirectMLX.h can't set roundingType or outputSizes for pool2d webmachinelearning/webnn-native#184, 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, by @mingmingtasd.
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[MLAS] experiment MLAS backend webmachinelearning/webnn-native#180, by @huningxin.
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1 issue closed.
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[MLAS] experiment MLAS backend webmachinelearning/webnn-native#180.
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1 issue received 1 new comment.
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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 @mingmingtasd)
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11 pull requests opened.
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Add instance class to control the lifetime of all contexts webmachinelearning/webnn-native#190, by @fujunwei.
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Support gMock tests webmachinelearning/webnn-native#188, by @mingmingtasd.
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Remove tracked thirdparty/gpgmm in github webmachinelearning/webnn-native#187, by @fujunwei.
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Rename Operator to FusionOperator in webnn.json webmachinelearning/webnn-native#186, by @fujunwei.
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Support roundingType and outputSizes for pool2d on OV/DML webmachinelearning/webnn-native#185, by @mingmingtasd.
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[IE/DML] Split conv2d to conv2d and convTranspose2d. webmachinelearning/webnn-native#182, by @miaobin.
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[Sample] Fix load Wasm file issue of Rnnosie. webmachinelearning/webnn-native#181, by @miaobin.
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[MLAS] add the initial implementation of MLAS backend webmachinelearning/webnn-native#179, by @huningxin.
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Add NNAPI backend support webmachinelearning/webnn-native#178, by @RavirajSitaram.
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Fixed incorrect unpackDir expression webmachinelearning/webnn-native#177, by @Honry.
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[DML] Enable Sigmoid and Add on DML without using DirectMLX.h webmachinelearning/webnn-native#176, by @mingmingtasd.
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4 pull requests merged.
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[MLAS] add the initial implementation of MLAS backend webmachinelearning/webnn-native#179.
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[Sample] Fix load Wasm file issue of Rnnosie. webmachinelearning/webnn-native#181.
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Fixed incorrect unpackDir expression webmachinelearning/webnn-native#177.
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[IE/DML] Change resample to resample2d. webmachinelearning/webnn-native#170.
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9 pull requests received 60 new comments.
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Add NNAPI backend support webmachinelearning/webnn-native#178 (40 comments by @fujunwei, @mingmingtasd, @RavirajSitaram, @Rjasuja)
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[IE/DML] Change resample to resample2d. webmachinelearning/webnn-native#170 (6 comments by @fujunwei, @miaobin)
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[MLAS] add the initial implementation of MLAS backend webmachinelearning/webnn-native#179 (2 comments by @huningxin)
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[IE/DML] Split conv2d to conv2d and convTranspose2d. webmachinelearning/webnn-native#182 (2 comments by @fujunwei, @miaobin)
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Fixed incorrect unpackDir expression webmachinelearning/webnn-native#177 (2 comments by @fujunwei, @Honry)
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[Sample] Fix load Wasm file issue of Rnnosie. webmachinelearning/webnn-native#181 (1 comment by @Honry)
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[DML] Enable Sigmoid and Add on DML without using DirectMLX.h webmachinelearning/webnn-native#176 (1 comment by @fujunwei)
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webmachinelearning/webnn-samples
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2 issues opened.
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python implementation webmachinelearning/webnn-samples#113, by @vishaldhull09.
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Unable to run the demos locally webmachinelearning/webnn-samples#112, by @shivaylamba.
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2 issues closed.
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python implementation webmachinelearning/webnn-samples#113.
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Unable to run the demos locally webmachinelearning/webnn-samples#112.
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2 issues received 5 new comments.
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Unable to run the demos locally webmachinelearning/webnn-samples#112 (4 comments by @Honry, @shivaylamba)
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2 pull requests opened.
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Split transposed convolution to convTranspose2d webmachinelearning/webnn-samples#116, by @Honry.
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Make sure video output is synchronous webmachinelearning/webnn-samples#115, by @Honry.
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2 pull requests received 2 new comments.
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Split transposed convolution to convTranspose2d webmachinelearning/webnn-samples#116 (1 comment by @Honry)
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webmachinelearning/test-data
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1 pull request opened.
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Revert "Update filter data of ConvTranspose for Fast Style Transfer nchw models." webmachinelearning/test-data#15, by @Honry.
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2 pull requests received 2 new comments.
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Revert "Update filter data of ConvTranspose for Fast Style Transfer nchw models." webmachinelearning/test-data#15 (1 comment by @Honry)
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Update filter data of ConvTranspose for Fast Style Transfer nchw models. webmachinelearning/test-data#12 (1 comment by @BruceDai)
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webmachinelearning/model-loader
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6 pull requests opened.
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Correct the order of contributors webmachinelearning/model-loader#21, by @yuhonglin.
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Add more contributors webmachinelearning/model-loader#20, by @yuhonglin.
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Add security consideration about isolation and CSP webmachinelearning/model-loader#19, by @yuhonglin.
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Sync the spec with explainer (pr 17) webmachinelearning/model-loader#18, by @yuhonglin.
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Update the interfaces to be TFJS-TFLite-like webmachinelearning/model-loader#17, by @yuhonglin.
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Add link to TFLite file spec webmachinelearning/model-loader#16, by @jbingham.
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6 pull requests merged.
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Correct the order of contributors webmachinelearning/model-loader#21.
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Add more contributors webmachinelearning/model-loader#20.
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Add security consideration about isolation and CSP webmachinelearning/model-loader#19.
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Sync the spec with explainer (pr 17) webmachinelearning/model-loader#18.
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Update the interfaces to be TFJS-TFLite-like webmachinelearning/model-loader#17.
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Add link to TFLite file spec webmachinelearning/model-loader#16.
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2 pull requests received 4 new comments.
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Add security consideration about isolation and CSP webmachinelearning/model-loader#19 (3 comments by @jbingham)
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webmachinelearning/meetings
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1 pull request opened.
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Scribe howto webmachinelearning/meetings#19, by @anssiko.
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1 pull request merged.
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Scribe howto webmachinelearning/meetings#19.
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1 pull request received 2 new comments.
webmachinelearning/webmachinelearning.github.io
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1 pull request opened.
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Fix grammar and typos webmachinelearning/webmachinelearning.github.io#17, by @anssiko.
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1 pull request merged.
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Fix grammar and typos webmachinelearning/webmachinelearning.github.io#17.
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GitHub
webmachinelearning/webnn-native
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4 issues opened.
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[DML] Implement Sigmoid and Add without using DirectMLX webmachinelearning/webnn-native#175, by @mingmingtasd.
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[DML] Use DirectML directly instead of the wrapper DirectMLX webmachinelearning/webnn-native#172, by @mingmingtasd.
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[DML] Split transposed convolution to convTranspose2d webmachinelearning/webnn-native#169, by @BruceDai.
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[IE] Split transposed convolution to convTranspose2d webmachinelearning/webnn-native#168, by @BruceDai.
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1 issue closed.
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[Base] Support output shape calculation webmachinelearning/webnn-native#157.
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1 issue received 1 new comment.
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[Base] Support output shape calculation webmachinelearning/webnn-native#157 (1 comment by @mingmingtasd)
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6 pull requests opened.
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Centralize webnn samples into one app webmachinelearning/webnn-native#174, by @Honry.
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Roll third_party/gpgmm/ d370f29db..7c81fae56 (114 commits) webmachinelearning/webnn-native#173, by @bbernhar.
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Support l2Pool2d webmachinelearning/webnn-native#171, by @mingmingtasd.
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[IE/DML] Change resample to resample2d. webmachinelearning/webnn-native#170, by @miaobin.
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[CI] Enable oneDNN backend. webmachinelearning/webnn-native#167, by @BruceDai.
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Add node.js electron example for RNNoise. webmachinelearning/webnn-native#166, by @miaobin.
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6 pull requests merged.
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Support l2Pool2d webmachinelearning/webnn-native#171.
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Centralize webnn samples into one app webmachinelearning/webnn-native#174.
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Roll third_party/gpgmm/ d370f29db..7c81fae56 (114 commits) webmachinelearning/webnn-native#173.
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Support calculating the output shape of all ops webmachinelearning/webnn-native#165.
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[CI] Enable oneDNN backend. webmachinelearning/webnn-native#167.
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Add node.js electron example for RNNoise. webmachinelearning/webnn-native#166.
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7 pull requests received 176 new comments.
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Support calculating the output shape of all ops webmachinelearning/webnn-native#165 (122 comments by @fujunwei, @huningxin, @mingmingtasd)
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[IE/DML] Change resample to resample2d. webmachinelearning/webnn-native#170 (27 comments by @fujunwei, @miaobin)
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Add node.js electron example for RNNoise. webmachinelearning/webnn-native#166 (14 comments by @fujunwei, @Honry, @miaobin)
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Centralize webnn samples into one app webmachinelearning/webnn-native#174 (2 comments by @fujunwei, @Honry)
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Roll third_party/gpgmm/ d370f29db..7c81fae56 (114 commits) webmachinelearning/webnn-native#173 (2 comments by @bbernhar, @fujunwei)
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webmachinelearning/webnn-samples
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5 pull requests opened.
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Reuse rest samples in Electron.js webmachinelearning/webnn-samples#109, by @Honry.
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Add the homepage webmachinelearning/webnn-samples#107, by @Honry.
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Show tf.js info and remove duplicated addWarning method webmachinelearning/webnn-samples#106, by @Honry.
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Remove full page cover webmachinelearning/webnn-samples#105, by @Honry.
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Update the code of RNNoise for node example. webmachinelearning/webnn-samples#103, by @miaobin.
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5 pull requests merged.
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Add the homepage webmachinelearning/webnn-samples#107.
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Show tf.js info and remove duplicated addWarning method webmachinelearning/webnn-samples#106.
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Remove full page cover webmachinelearning/webnn-samples#105.
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Improve UI to align with https://webmachinelearning.github.io/ webmachinelearning/webnn-samples#102.
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Update the code of RNNoise for node example. webmachinelearning/webnn-samples#103.
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5 pull requests received 11 new comments.
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Show tf.js info and remove duplicated addWarning method webmachinelearning/webnn-samples#106 (2 comments by @Honry)
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Improve UI to align with https://webmachinelearning.github.io/ webmachinelearning/webnn-samples#102 (1 comment by @ibelem)
webmachinelearning/model-loader
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2 issues opened.
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Web-standard ML model format webmachinelearning/model-loader#15, by @josephrocca.
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Use spec-prod to publish spec drafts webmachinelearning/model-loader#9, by @jyasskin.
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2 issues closed.
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Web-standard ML model format webmachinelearning/model-loader#15.
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Use spec-prod to publish spec drafts webmachinelearning/model-loader#9.
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3 issues received 11 new comments.
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Web-standard ML model format webmachinelearning/model-loader#15 (4 comments by @jbingham, @josephrocca)
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Use spec-prod to publish spec drafts webmachinelearning/model-loader#9 (4 comments by @anssiko, @dontcallmedom, @jbingham)
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Is there any code that can be downloaded/imported? webmachinelearning/model-loader#5 (3 comments by @anssiko, @jbingham, @kirill-konshin)
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7 pull requests opened.
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Follow standard explainer template webmachinelearning/model-loader#14, by @jbingham.
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Update IDL and sample based on the latest explainer webmachinelearning/model-loader#13, by @anssiko.
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Make the sample code same as our plan in prototype webmachinelearning/model-loader#12, by @yuhonglin.
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Mark IDL interface as exposed in same globals as ML interface webmachinelearning/model-loader#11, by @dontcallmedom.
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Set up repo with automatic generation of HTML spec webmachinelearning/model-loader#10, by @dontcallmedom.
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Sync spec stub with the updated explainer webmachinelearning/model-loader#8, by @anssiko.
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Prepare for intent to prototype webmachinelearning/model-loader#7, by @jbingham.
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7 pull requests merged.
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Follow standard explainer template webmachinelearning/model-loader#14.
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Update IDL and sample based on the latest explainer webmachinelearning/model-loader#13.
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Make the sample code same as our plan in prototype webmachinelearning/model-loader#12.
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Set up repo with automatic generation of HTML spec webmachinelearning/model-loader#10.
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Mark IDL interface as exposed in same globals as ML interface webmachinelearning/model-loader#11.
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Prepare for intent to prototype webmachinelearning/model-loader#7.
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Sync spec stub with the updated explainer webmachinelearning/model-loader#8.
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5 pull requests received 19 new comments.
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Follow standard explainer template webmachinelearning/model-loader#14 (8 comments by @anssiko, @jbingham)
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Prepare for intent to prototype webmachinelearning/model-loader#7 (6 comments by @anssiko, @huningxin, @jbingham, @yuhonglin)
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Make the sample code same as our plan in prototype webmachinelearning/model-loader#12 (2 comments by @jbingham, @yuhonglin)
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Set up repo with automatic generation of HTML spec webmachinelearning/model-loader#10 (2 comments by @dontcallmedom, @jbingham)
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Update IDL and sample based on the latest explainer webmachinelearning/model-loader#13 (1 comment by @dontcallmedom)
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Participants
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1 participant joined.
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Joe Bowser (Adobe) joined.
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1 organization joined.
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Adobe joined.
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GitHub
webmachinelearning/webnn-samples
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1 issue closed.
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Style transfer fails after upgrading to latest webnn-polyfill webmachinelearning/webnn-samples#87.
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3 pull requests opened.
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Improve UI to align with https://webmachinelearning.github.io/ webmachinelearning/webnn-samples#102, by @Honry.
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Change resample to resample2d webmachinelearning/webnn-samples#101, by @Honry.
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Move devicePreference switch to UI webmachinelearning/webnn-samples#100, by @Honry.
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4 pull requests merged.
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Change resample to resample2d webmachinelearning/webnn-samples#101.
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Move devicePreference switch to UI webmachinelearning/webnn-samples#100.
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Use service worker to enable SharedArrayBuffer on GitHub page webmachinelearning/webnn-samples#97.
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Reuse the code of style transfer for node example webmachinelearning/webnn-samples#95.
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4 pull requests received 14 new comments.
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Improve UI to align with https://webmachinelearning.github.io/ webmachinelearning/webnn-samples#102 (5 comments by @Honry, @ibelem)
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Use service worker to enable SharedArrayBuffer on GitHub page webmachinelearning/webnn-samples#97 (4 comments by @Honry, @huningxin, @ibelem)
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Change resample to resample2d webmachinelearning/webnn-samples#101 (3 comments by @BruceDai, @Honry)
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webmachinelearning/webnn-native
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7 issues opened.
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[oneDNN] failed to build oneDNN backend webmachinelearning/webnn-native#163, by @huningxin.
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[Base] Support output shape calculation webmachinelearning/webnn-native#157, by @mingmingtasd.
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[DML] Change resample to resample2d webmachinelearning/webnn-native#156, by @BruceDai.
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[DML] Support 'roundingType' and 'outputSizes' options for pool2d operations webmachinelearning/webnn-native#155, by @BruceDai.
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[IE] Support 'roundingType' and 'outputSizes' options for pool2d operations webmachinelearning/webnn-native#154, by @BruceDai.
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[IE] Change resample to resample2d webmachinelearning/webnn-native#151, by @BruceDai.
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[node] support using DML backend for GPU and OpenVINO backend for CPU in one build webmachinelearning/webnn-native#147, by @huningxin.
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3 issues closed.
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[oneDNN] failed to build oneDNN backend webmachinelearning/webnn-native#163.
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[node] support using DML backend for GPU and OpenVINO backend for CPU in one build webmachinelearning/webnn-native#147.
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[DML] 28 failed tests for conv2d with transpose option webmachinelearning/webnn-native#144.
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14 pull requests opened.
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Support calculating the output shape of all ops webmachinelearning/webnn-native#165, by @mingmingtasd.
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[oneDNN] fix build issue webmachinelearning/webnn-native#164, by @huningxin.
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[CI] Using Python 3.8 for installation OpenVINO toolkit on Linux platform. webmachinelearning/webnn-native#162, by @BruceDai.
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Switch device preference from UI instead of url query webmachinelearning/webnn-native#161, by @Honry.
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Updated DEPS for Style Transer example. webmachinelearning/webnn-native#160, by @BruceDai.
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[CI] Use Python 3.8 for installation OpenVION toolkit on Windows platform webmachinelearning/webnn-native#159, by @BruceDai.
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Revert "[Node] Add the Op Split" webmachinelearning/webnn-native#158, by @fujunwei.
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Add element-wise unary ops webmachinelearning/webnn-native#153, by @mingmingtasd.
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Fix ci failure related to Split on DML webmachinelearning/webnn-native#152, by @mingmingtasd.
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Revert "Add all element-wise unary ops" webmachinelearning/webnn-native#150, by @fujunwei.
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Throw an exception about unimplemented operators on DML. webmachinelearning/webnn-native#149, by @miaobin.
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Support building both DirectML and OpenVINO backends webmachinelearning/webnn-native#148, by @huningxin.
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Bump webnn-samples to latest commit id webmachinelearning/webnn-native#146, by @Honry.
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Enable GPGMM for DML backend. webmachinelearning/webnn-native#145, by @bbernhar.
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13 pull requests merged.
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[Node] Add binding for op Gru webmachinelearning/webnn-native#141.
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[oneDNN] fix build issue webmachinelearning/webnn-native#164.
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[CI] Using Python 3.8 for installation OpenVINO toolkit on Linux platform. webmachinelearning/webnn-native#162.
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Switch device preference from UI instead of url query webmachinelearning/webnn-native#161.
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Add element-wise unary ops webmachinelearning/webnn-native#153.
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Support building both DirectML and OpenVINO backends webmachinelearning/webnn-native#148.
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Enable GPGMM for DML backend. webmachinelearning/webnn-native#145.
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Throw an exception about unimplemented operators on DML. webmachinelearning/webnn-native#149.
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Updated DEPS for Style Transer example. webmachinelearning/webnn-native#160.
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[CI] Use Python 3.8 for installation OpenVION toolkit on Windows platform webmachinelearning/webnn-native#159.
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Fix ci failure related to Split on DML webmachinelearning/webnn-native#152.
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Revert "Add all element-wise unary ops" webmachinelearning/webnn-native#150.
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Add all element-wise unary ops webmachinelearning/webnn-native#142.
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3 pull requests closed.
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Set output rank for squeeze op webmachinelearning/webnn-native#140.
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Revert "[Node] Add the Op Split" webmachinelearning/webnn-native#158.
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Bump webnn-samples to latest commit id webmachinelearning/webnn-native#146.
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14 pull requests received 82 new comments.
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Support calculating the output shape of all ops webmachinelearning/webnn-native#165 (20 comments by @fujunwei, @huningxin, @mingmingtasd)
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[Node] Add binding for op Gru webmachinelearning/webnn-native#141 (19 comments by @fujunwei, @miaobin)
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Enable GPGMM for DML backend. webmachinelearning/webnn-native#145 (16 comments by @bbernhar, @BruceDai, @fujunwei, @huningxin)
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Bump webnn-samples to latest commit id webmachinelearning/webnn-native#146 (6 comments by @fujunwei, @Honry)
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Support building both DirectML and OpenVINO backends webmachinelearning/webnn-native#148 (5 comments by @BruceDai, @fujunwei, @huningxin)
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Throw an exception about unimplemented operators on DML. webmachinelearning/webnn-native#149 (5 comments by @fujunwei, @miaobin)
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Updated DEPS for Style Transer example. webmachinelearning/webnn-native#160 (2 comments by @fujunwei, @Honry)
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Add all element-wise unary ops webmachinelearning/webnn-native#142 (2 comments by @BruceDai, @fujunwei)
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Switch device preference from UI instead of url query webmachinelearning/webnn-native#161 (1 comment by @Honry)
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Revert "Add all element-wise unary ops" webmachinelearning/webnn-native#150 (1 comment by @fujunwei)
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webmachinelearning/meetings
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1 issue received 4 new comments.
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WebML WG Virtual Meetings at TPAC 2021 webmachinelearning/meetings#18 (4 comments by @anssiko, @fujunwei, @huningxin)
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webmachinelearning/proposals
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1 issue opened.
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Supporting JAX-inspired WebML frameworks/libraries webmachinelearning/proposals#3, by @josephrocca.
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1 issue received 1 new comment.
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Supporting JAX-inspired WebML frameworks/libraries webmachinelearning/proposals#3 (1 comment by @anssiko)
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webmachinelearning/test-data
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1 pull request merged.
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Update filter data of ConvTranspose for Fast Style Transfer nchw models. webmachinelearning/test-data#12.
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1 pull request received 1 new comment.
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Update filter data of ConvTranspose for Fast Style Transfer nchw models. webmachinelearning/test-data#12 (1 comment by @huningxin)
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webmachinelearning/webmachinelearning.github.io
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1 pull request opened.
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Add more samples in webnn-samples-intro page webmachinelearning/webmachinelearning.github.io#16, by @ibelem.
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2 pull requests merged.
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[Color Accessibility] Improve the contrast for texts, links and buttons webmachinelearning/webmachinelearning.github.io#14.
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Add more samples in webnn-samples-intro page webmachinelearning/webmachinelearning.github.io#16.
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2 pull requests received 4 new comments.
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[Color Accessibility] Improve the contrast for texts, links and buttons webmachinelearning/webmachinelearning.github.io#14 (3 comments by @anssiko, @ibelem)
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Add more samples in webnn-samples-intro page webmachinelearning/webmachinelearning.github.io#16 (1 comment by @anssiko)
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Participants
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3 participants joined.
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Raviraj Pinnamaraju (Intel Corporation) joined.
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Mantaroh Yoshinaga joined.
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Fabiano Magalhaes joined.
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1 participant left.
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Sangwhan Moon left.
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GitHub
webmachinelearning/meetings
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1 issue opened.
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WebML WG Virtual Meetings at TPAC 2021 webmachinelearning/meetings#18, by @anssiko.
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1 issue received 4 new comments.
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WebML WG Virtual Meetings at TPAC 2021 webmachinelearning/meetings#18 (4 comments by @anssiko, @huningxin)
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webmachinelearning/webnn-samples
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2 issues opened.
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Change min and max values of clamp to float webmachinelearning/webnn-samples#88, by @mingmingtasd.
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Style transfer fails after upgrading to latest webnn-polyfill webmachinelearning/webnn-samples#87, by @Honry.
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1 issue closed.
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Change min and max values of clamp to float webmachinelearning/webnn-samples#88.
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2 issues received 3 new comments.
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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, @vishaldhull09)
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Style transfer fails after upgrading to latest webnn-polyfill webmachinelearning/webnn-samples#87 (1 comment by @Honry)
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8 pull requests opened.
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Use service worker to enable SharedArrayBuffer on GitHub page webmachinelearning/webnn-samples#97, by @Honry.
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Reuse the code of style transfer for node example webmachinelearning/webnn-samples#95, by @Honry.
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Add FPS panel webmachinelearning/webnn-samples#94, by @Honry.
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Add ResNet V2 50 NHWC sample webmachinelearning/webnn-samples#91, by @Honry.
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Updated minValue and maxValue of clamp to float scalar. webmachinelearning/webnn-samples#90, by @BruceDai.
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Change min and max values of clamp to float webmachinelearning/webnn-samples#89, by @Honry.
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Upgrade tfjs to 3.9.0 webmachinelearning/webnn-samples#85, by @Honry.
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5 pull requests merged.
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Add FPS panel webmachinelearning/webnn-samples#94.
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Change min and max values of clamp to float webmachinelearning/webnn-samples#89.
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Add ResNet V2 50 NHWC sample webmachinelearning/webnn-samples#91.
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Fixed nit webmachinelearning/webnn-samples#86.
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Upgrade tfjs to 3.9.0 webmachinelearning/webnn-samples#85.
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1 pull request closed.
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Updated minValue and maxValue of clamp to float scalar. webmachinelearning/webnn-samples#90.
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7 pull requests received 9 new comments.
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Updated minValue and maxValue of clamp to float scalar. webmachinelearning/webnn-samples#90 (2 comments by @BruceDai, @Honry)
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Reuse the code of style transfer for node example webmachinelearning/webnn-samples#95 (1 comment by @Honry)
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Change min and max values of clamp to float webmachinelearning/webnn-samples#89 (1 comment by @Honry)
webmachinelearning/webnn-native
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5 issues opened.
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[DML] 28 failed tests for conv2d with transpose option webmachinelearning/webnn-native#144, by @BruceDai.
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[Node.js] Tests for cos, sin, tan can't meet the tolerance requirement webmachinelearning/webnn-native#143, by @mingmingtasd.
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Unable to run webnn_end2end_tests.exe under third_party using webnn_enable_dml webmachinelearning/webnn-native#124, by @bbernhar.
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ReduceLogSum, ReduceLogSumExp, ReduceSumSquare are not supported on OV/NNAPI webmachinelearning/webnn-native#123, by @mingmingtasd.
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[Node] App crashed on Windows with TFLite WebNN delegate multi-threading build webmachinelearning/webnn-native#115, by @huningxin.
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12 issues closed.
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[OV] conv2d and pool2d tests crash for debug build webmachinelearning/webnn-native#67.
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Unable to run webnn_end2end_tests.exe under third_party using webnn_enable_dml webmachinelearning/webnn-native#124.
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[OV] build warnings of ngraph_c_api webmachinelearning/webnn-native#109.
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Refactor codes once a backend requires fusing clamp when creating graph webmachinelearning/webnn-native#89.
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[DML/IE] Re-implement and optimize clamp webmachinelearning/webnn-native#57.
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Enable checking whether the node is a constant node webmachinelearning/webnn-native#65.
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[DML] DML backend should not build ngraph_c_api webmachinelearning/webnn-native#83.
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[DML] ReduceMean can't support empty axes {} when keepDimensions == false webmachinelearning/webnn-native#19.
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[Node] App crashed on Windows with TFLite WebNN delegate multi-threading build webmachinelearning/webnn-native#115.
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[Examples] Use fused ops such as fused Conv2d/BatchNorm for C++ examples webmachinelearning/webnn-native#63.
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Failed to run mobilenetv2_nchw.js model tests through node.js binding webmachinelearning/webnn-native#104.
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Add node.js binding for fused activations webmachinelearning/webnn-native#99.
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-
10 issues received 12 new comments.
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[DML] 28 failed tests for conv2d with transpose option webmachinelearning/webnn-native#144 (3 comments by @huningxin, @miaobin, @mingmingtasd)
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[Node.js] Tests for cos, sin, tan can't meet the tolerance requirement webmachinelearning/webnn-native#143 (1 comment by @mingmingtasd)
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[OV] conv2d and pool2d tests crash for debug build webmachinelearning/webnn-native#67 (1 comment by @mingmingtasd)
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[node][DML] Failed to run TinyYolov2 model tests with assertion error. webmachinelearning/webnn-native#102 (1 comment by @BruceDai)
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Refactor codes once a backend requires fusing clamp when creating graph webmachinelearning/webnn-native#89 (1 comment by @mingmingtasd)
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[DML/IE] Re-implement and optimize clamp webmachinelearning/webnn-native#57 (1 comment by @mingmingtasd)
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Enable checking whether the node is a constant node webmachinelearning/webnn-native#65 (1 comment by @mingmingtasd)
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Unable to run webnn_end2end_tests.exe under third_party using webnn_enable_dml webmachinelearning/webnn-native#124 (1 comment by @bbernhar)
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[DML] ReduceMean can't support empty axes {} when keepDimensions == false webmachinelearning/webnn-native#19 (1 comment by @mingmingtasd)
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26 pull requests opened.
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Add all element-wise unary ops webmachinelearning/webnn-native#142, by @mingmingtasd.
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[Node] Add binding for op Gru webmachinelearning/webnn-native#141, by @miaobin.
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Set output rank for squeeze op webmachinelearning/webnn-native#140, by @fujunwei.
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[Node] add Op Slice and fix a error in Op Squeeze webmachinelearning/webnn-native#139, by @lionkunonly.
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Support Gru on DML backend webmachinelearning/webnn-native#138, by @miaobin.
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[Node] Add the Op Split webmachinelearning/webnn-native#137, by @lionkunonly.
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Generate model paths for end2end tests at build. webmachinelearning/webnn-native#136, by @bbernhar.
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Add style transfer example webmachinelearning/webnn-native#135, by @Honry.
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add Op Squeeze on Node.js webmachinelearning/webnn-native#134, by @lionkunonly.
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Support Slice on DML backend webmachinelearning/webnn-native#133, by @fujunwei.
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add the Op hardSwish on Node.js webmachinelearning/webnn-native#132, by @lionkunonly.
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Fix WebNN test only builds due to missing DirectML.dll. webmachinelearning/webnn-native#131, by @bbernhar.
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Define webnn_wire.json and generate client code webmachinelearning/webnn-native#130, by @fujunwei.
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Update commit id of third-party repos webmachinelearning/webnn-native#129, by @Honry.
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Fix build warnings of ngraph_c_api webmachinelearning/webnn-native#128, by @mingmingtasd.
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[Node] add Transpose Options for Conv2d webmachinelearning/webnn-native#127, by @lionkunonly.
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Require DML feature level when creating DML device. webmachinelearning/webnn-native#126, by @bbernhar.
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[IE] Kunliang/add slice webmachinelearning/webnn-native#125, by @lionkunonly.
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Enable devicePreference on Electron.js samples webmachinelearning/webnn-native#122, by @Honry.
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Re-implement clamp to use float min/max webmachinelearning/webnn-native#121, by @mingmingtasd.
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Support app package for reset samples webmachinelearning/webnn-native#120, by @Honry.
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Support several reduction ops webmachinelearning/webnn-native#119, by @mingmingtasd.
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Support hardSwish op webmachinelearning/webnn-native#118, by @fujunwei.
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Support split operation webmachinelearning/webnn-native#117, by @fujunwei.
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[Node] Revert the SharedArrayBuffer support webmachinelearning/webnn-native#116, by @huningxin.
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[OV] Only build ngraph c api with OpenVINO backend webmachinelearning/webnn-native#114, by @fujunwei.
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-
26 pull requests merged.
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Generate model paths for end2end tests at build. webmachinelearning/webnn-native#136.
-
[Node] Add the Op Split webmachinelearning/webnn-native#137.
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Support Slice on DML backend webmachinelearning/webnn-native#133.
-
Add style transfer example webmachinelearning/webnn-native#135.
-
[Node] add Op Slice and fix a error in Op Squeeze webmachinelearning/webnn-native#139.
-
Support Gru for IE webmachinelearning/webnn-native#88.
-
add Op Squeeze on Node.js webmachinelearning/webnn-native#134.
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add the Op hardSwish on Node.js webmachinelearning/webnn-native#132.
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[IE] Kunliang/add slice webmachinelearning/webnn-native#125.
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Fix WebNN test only builds due to missing DirectML.dll. webmachinelearning/webnn-native#131.
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Update commit id of third-party repos webmachinelearning/webnn-native#129.
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[Node] add Transpose Options for Conv2d webmachinelearning/webnn-native#127.
-
Fix build warnings of ngraph_c_api webmachinelearning/webnn-native#128.
-
Re-implement clamp to use float min/max webmachinelearning/webnn-native#121.
-
Enable devicePreference on Electron.js samples webmachinelearning/webnn-native#122.
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Require DML feature level when creating DML device. webmachinelearning/webnn-native#126.
-
Support several reduction ops webmachinelearning/webnn-native#119.
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Support Conv2dTranspose and GroupConv2dTranspose for IE webmachinelearning/webnn-native#112.
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Support app package for reset samples webmachinelearning/webnn-native#120.
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Support split operation webmachinelearning/webnn-native#117.
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Support app package for semantic segmentation sample webmachinelearning/webnn-native#113.
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Support hardSwish op webmachinelearning/webnn-native#118.
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[Node] Revert the SharedArrayBuffer support webmachinelearning/webnn-native#116.
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[OV] Only build ngraph c api with OpenVINO backend webmachinelearning/webnn-native#114.
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Add node.js binding for activations webmachinelearning/webnn-native#105.
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[Base] Support multiple outputs for split operation webmachinelearning/webnn-native#111.
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24 pull requests received 224 new comments.
-
Support Gru for IE webmachinelearning/webnn-native#88 (67 comments by @fujunwei, @miaobin, @mingmingtasd)
-
[IE] Kunliang/add slice webmachinelearning/webnn-native#125 (27 comments by @fujunwei, @lionkunonly)
-
Support split operation webmachinelearning/webnn-native#117 (17 comments by @fujunwei, @huningxin, @miaobin, @mingmingtasd)
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Support Conv2dTranspose and GroupConv2dTranspose for IE webmachinelearning/webnn-native#112 (15 comments by @fujunwei, @miaobin, @mingmingtasd)
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Re-implement clamp to use float min/max webmachinelearning/webnn-native#121 (14 comments by @BruceDai, @fujunwei, @mingmingtasd)
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Support several reduction ops webmachinelearning/webnn-native#119 (10 comments by @fujunwei, @mingmingtasd)
-
[Node] Add the Op Split webmachinelearning/webnn-native#137 (9 comments by @BruceDai, @fujunwei, @lionkunonly)
-
Enable devicePreference on Electron.js samples webmachinelearning/webnn-native#122 (9 comments by @fujunwei, @Honry, @mingmingtasd)
-
Support Slice on DML backend webmachinelearning/webnn-native#133 (7 comments by @fujunwei, @huningxin)
-
[Node] add Op Slice and fix a error in Op Squeeze webmachinelearning/webnn-native#139 (7 comments by @BruceDai, @fujunwei, @lionkunonly)
-
Generate model paths for end2end tests at build. webmachinelearning/webnn-native#136 (6 comments by @bbernhar, @fujunwei)
-
Add node.js binding for activations webmachinelearning/webnn-native#105 (6 comments by @fujunwei, @huningxin, @mingmingtasd)
-
[Base] Support multiple outputs for split operation webmachinelearning/webnn-native#111 (6 comments by @fujunwei, @huningxin)
-
[Node] Add binding for op Gru webmachinelearning/webnn-native#141 (3 comments by @fujunwei, @mingmingtasd)
-
Support Gru on DML backend webmachinelearning/webnn-native#138 (3 comments by @fujunwei, @miaobin, @mingmingtasd)
-
add Op Squeeze on Node.js webmachinelearning/webnn-native#134 (3 comments by @fujunwei, @lionkunonly)
-
Support app package for semantic segmentation sample webmachinelearning/webnn-native#113 (3 comments by @fujunwei, @Honry)
-
Add all element-wise unary ops webmachinelearning/webnn-native#142 (2 comments by @BruceDai, @mingmingtasd)
-
Update commit id of third-party repos webmachinelearning/webnn-native#129 (2 comments by @fujunwei, @Honry)
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[Node] add Transpose Options for Conv2d webmachinelearning/webnn-native#127 (1 comment by @fujunwei)
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webmachinelearning/test-data
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3 pull requests opened.
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Add test data for ResNet50v2 NHWC model. webmachinelearning/test-data#14, by @BruceDai.
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Add test data for ResNet V2 50 webmachinelearning/test-data#13, by @Honry.
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Update filter data of ConvTranspose for Fast Style Transfer nchw models. webmachinelearning/test-data#12, by @BruceDai.
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2 pull requests merged.
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Add test data for ResNet50v2 NHWC model. webmachinelearning/test-data#14.
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Add test data for ResNet V2 50 webmachinelearning/test-data#13.
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2 pull requests received 4 new comments.
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Update filter data of ConvTranspose for Fast Style Transfer nchw models. webmachinelearning/test-data#12 (3 comments by @Honry, @huningxin)
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webmachinelearning/webmachinelearning.github.io
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1 pull request opened.
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[Color Accessibility] Improve the contrast for texts, links and buttons webmachinelearning/webmachinelearning.github.io#14, by @ibelem.
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Participants
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1 participant joined.
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Francisco Barbosa Junior joined.
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GitHub
webmachinelearning/webnn-native
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23 issues opened.
-
[OV] build warnings of ngraph_c_api webmachinelearning/webnn-native#109, by @huningxin.
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[Node] Invalid argument when passing SharedArrayBuffer as argument webmachinelearning/webnn-native#106, by @huningxin.
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Failed to run mobilenetv2_nchw.js model tests through node.js binding webmachinelearning/webnn-native#104, by @mingmingtasd.
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[node][DML] Failed to run TinyYolov2 model tests with assertion error. webmachinelearning/webnn-native#102, by @BruceDai.
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Implement WebNN specification in Chromium browser webmachinelearning/webnn-native#100, by @fujunwei.
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Add node.js binding for fused activations webmachinelearning/webnn-native#99, by @mingmingtasd.
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webnn_end2end_tests with webnn_enable_dml fail webmachinelearning/webnn-native#97, by @bbernhar.
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Refactor codes once a backend requires fusing clamp when creating graph webmachinelearning/webnn-native#89, by @mingmingtasd.
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[End2end] Gtest ASSERT_TRUE can't print error messages webmachinelearning/webnn-native#84, by @mingmingtasd.
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[DML] DML backend should not build ngraph_c_api webmachinelearning/webnn-native#83, by @mingmingtasd.
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[DML] Implement Op pow webmachinelearning/webnn-native#80, by @lionkunonly.
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[DML] Implement Op Min webmachinelearning/webnn-native#78, by @lionkunonly.
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[DML] Implement Op Max webmachinelearning/webnn-native#73, by @lionkunonly.
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[CI] enable Node.js build and test webmachinelearning/webnn-native#72, by @huningxin.
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Add tests for BatchNorm with fused activation. webmachinelearning/webnn-native#71, by @BruceDai.
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[DML] implement fused BatchNorm and Conv2d webmachinelearning/webnn-native#70, by @mingmingtasd.
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[OV] implement fused BatchNorm and Conv2d webmachinelearning/webnn-native#69, by @mingmingtasd.
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[OV] conv2d and pool2d tests crash for debug build webmachinelearning/webnn-native#67, by @huningxin.
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Enable checking whether the node is a constant node webmachinelearning/webnn-native#65, by @mingmingtasd.
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[Examples] Use fused ops such as fused Conv2d/BatchNorm for C++ examples webmachinelearning/webnn-native#63, by @mingmingtasd.
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[Python Generator] Initialize OperandBase* and OperatorBase to nullptr webmachinelearning/webnn-native#61, by @mingmingtasd.
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[DML/IE] Re-implement and optimize clamp webmachinelearning/webnn-native#57, by @mingmingtasd.
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[OV] Fail to build deeplab model with NHWC + OpenVino backend webmachinelearning/webnn-native#54, by @Honry.
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8 issues closed.
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[End2end] Gtest ASSERT_TRUE can't print error messages webmachinelearning/webnn-native#84.
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[Node] Invalid argument when passing SharedArrayBuffer as argument webmachinelearning/webnn-native#106.
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Enhance CI to check OpenVINO backend. webmachinelearning/webnn-native#31.
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webnn_end2end_tests with webnn_enable_dml fail webmachinelearning/webnn-native#97.
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[Python Generator] Initialize OperandBase* and OperatorBase to nullptr webmachinelearning/webnn-native#61.
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[OV] implement fused BatchNorm and Conv2d webmachinelearning/webnn-native#69.
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[DML] implement fused BatchNorm and Conv2d webmachinelearning/webnn-native#70.
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[DML] Implement Op Max webmachinelearning/webnn-native#73.
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9 issues received 22 new comments.
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[Python Generator] Initialize OperandBase* and OperatorBase to nullptr webmachinelearning/webnn-native#61 (8 comments by @fujunwei, @huningxin, @mingmingtasd)
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Enhance CI to check OpenVINO backend. webmachinelearning/webnn-native#31 (3 comments by @BruceDai, @huningxin)
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webnn_end2end_tests with webnn_enable_dml fail webmachinelearning/webnn-native#97 (3 comments by @bbernhar, @fujunwei)
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Failed to run mobilenetv2_nchw.js model tests through node.js binding webmachinelearning/webnn-native#104 (2 comments by @huningxin, @mingmingtasd)
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[OV] Fail to build deeplab model with NHWC + OpenVino backend webmachinelearning/webnn-native#54 (2 comments by @huningxin)
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[OV] implement fused BatchNorm and Conv2d webmachinelearning/webnn-native#69 (1 comment by @mingmingtasd)
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[DML] implement fused BatchNorm and Conv2d webmachinelearning/webnn-native#70 (1 comment by @mingmingtasd)
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Enable checking whether the node is a constant node webmachinelearning/webnn-native#65 (1 comment by @mingmingtasd)
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39 pull requests opened.
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Support app package for semantic segmentation sample webmachinelearning/webnn-native#113, by @Honry.
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Support Conv2dTranspose and GroupConv2dTranspose for IE webmachinelearning/webnn-native#112, by @miaobin.
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[Base] Support multiple outputs for split operation webmachinelearning/webnn-native#111, by @fujunwei.
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[Electron][Segmentation] support multi-threading wasm build webmachinelearning/webnn-native#110, by @huningxin.
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Fix issue to print out detailed error messages when failing to add ops webmachinelearning/webnn-native#108, by @mingmingtasd.
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[Node] Fix invalid argument error for SharedArrayBuffer webmachinelearning/webnn-native#107, by @huningxin.
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Add node.js binding for activations webmachinelearning/webnn-native#105, by @mingmingtasd.
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Add CI for Node Binding with WebNN native by OpenVINO backend on Windows platform. webmachinelearning/webnn-native#103, by @BruceDai.
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Refactor fused examples and model tests webmachinelearning/webnn-native#101, by @mingmingtasd.
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Support Squeeze operations webmachinelearning/webnn-native#98, by @fujunwei.
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Add CI for OpenVINO backend on Windows platform. webmachinelearning/webnn-native#96, by @BruceDai.
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Add bash script for testing by OpenVINO backend on Windows. webmachinelearning/webnn-native#95, by @BruceDai.
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Support fused C++ examples webmachinelearning/webnn-native#94, by @mingmingtasd.
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Updated two badges for DirectML backend with explicit "Windows" characters. webmachinelearning/webnn-native#93, by @BruceDai.
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Support optional object in webnn.json webmachinelearning/webnn-native#92, by @huningxin.
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Add CI for Node Binding with WebNN native by OpenVINO backend on Linux platform. webmachinelearning/webnn-native#91, by @BruceDai.
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Add CI for testing OpenVINO backend on Linux platform. webmachinelearning/webnn-native#90, by @BruceDai.
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Support Gru for IE webmachinelearning/webnn-native#88, by @miaobin.
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[DML] Support Max and Min operations webmachinelearning/webnn-native#87, by @fujunwei.
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Fix issue of node.js binding for ContextOptions webmachinelearning/webnn-native#86, by @mingmingtasd.
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Fix BUILD paths to third_party webmachinelearning/webnn-native#85, by @bbernhar.
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Add CI for Node Binding with WebNN native by DirectML backend. webmachinelearning/webnn-native#82, by @BruceDai.
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Updated node/package.json by adding "npm run report" webmachinelearning/webnn-native#81, by @BruceDai.
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[IE] add Op Pow and its node.js binding webmachinelearning/webnn-native#79, by @lionkunonly.
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[IE]Add the op Min and its node.js binding webmachinelearning/webnn-native#77, by @lionkunonly.
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Missing include for building tests webmachinelearning/webnn-native#76, by @bbernhar.
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Fix the build error on Linux webmachinelearning/webnn-native#75, by @lionkunonly.
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[IE] Transpose input for resample if the layout is NHWC webmachinelearning/webnn-native#74, by @fujunwei.
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Fix WebNN builds from conflicting with Dawn. webmachinelearning/webnn-native#68, by @bbernhar.
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[IE] Add Op Max and bind it to the Node.js webmachinelearning/webnn-native#66, by @lionkunonly.
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[Node] add the Op InstanceNorm webmachinelearning/webnn-native#64, by @lionkunonly.
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Implement activation functions as fused operators and support fused Conv2d/BatchNorm webmachinelearning/webnn-native#62, by @mingmingtasd.
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Update commit id for test-data and webnn-samples webmachinelearning/webnn-native#60, by @Honry.
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[Node] add the Op div webmachinelearning/webnn-native#59, by @lionkunonly.
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Support the devicePreference webmachinelearning/webnn-native#58, by @lionkunonly.
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Add operator into webnn.json and fix generator issue webmachinelearning/webnn-native#56, by @huningxin.
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Fix ienn cmake warning webmachinelearning/webnn-native#55, by @huningxin.
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add the powerPreference for CreateContext for node binding webmachinelearning/webnn-native#53, by @lionkunonly.
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Add node.js electron example for DeepLab webmachinelearning/webnn-native#52, by @Honry.
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36 pull requests merged.
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[Electron][Segmentation] support multi-threading wasm build webmachinelearning/webnn-native#110.
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Fix issue to print out detailed error messages when failing to add ops webmachinelearning/webnn-native#108.
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[Node] Fix invalid argument error for SharedArrayBuffer webmachinelearning/webnn-native#107.
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Add CI for Node Binding with WebNN native by OpenVINO backend on Windows platform. webmachinelearning/webnn-native#103.
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Refactor fused examples and model tests webmachinelearning/webnn-native#101.
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Support fused C++ examples webmachinelearning/webnn-native#94.
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Add CI for OpenVINO backend on Windows platform. webmachinelearning/webnn-native#96.
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Support Squeeze operations webmachinelearning/webnn-native#98.
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Add bash script for testing by OpenVINO backend on Windows. webmachinelearning/webnn-native#95.
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Support optional object in webnn.json webmachinelearning/webnn-native#92.
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Updated two badges for DirectML backend with explicit "Windows" characters. webmachinelearning/webnn-native#93.
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Add CI for Node Binding with WebNN native by OpenVINO backend on Linux platform. webmachinelearning/webnn-native#91.
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Add CI for testing OpenVINO backend on Linux platform. webmachinelearning/webnn-native#90.
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[IE] add Op Pow and its node.js binding webmachinelearning/webnn-native#79.
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Implement activation functions as fused operators and support fused Conv2d/BatchNorm webmachinelearning/webnn-native#62.
-
[DML] Support Max and Min operations webmachinelearning/webnn-native#87.
-
Fix issue of node.js binding for ContextOptions webmachinelearning/webnn-native#86.
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[IE]Add the op Min and its node.js binding webmachinelearning/webnn-native#77.
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Fix BUILD paths to third_party webmachinelearning/webnn-native#85.
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[IE] Add Op Max and bind it to the Node.js webmachinelearning/webnn-native#66.
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Add CI for Node Binding with WebNN native by DirectML backend. webmachinelearning/webnn-native#82.
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Updated node/package.json by adding "npm run report" webmachinelearning/webnn-native#81.
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[IE] Transpose input for resample if the layout is NHWC webmachinelearning/webnn-native#74.
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Missing include for building tests webmachinelearning/webnn-native#76.
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Fix the build error on Linux webmachinelearning/webnn-native#75.
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[Node] add the Op InstanceNorm webmachinelearning/webnn-native#64.
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Implement C API bridge of OpenVINIO/nGraph webmachinelearning/webnn-native#44.
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Fix WebNN builds from conflicting with Dawn. webmachinelearning/webnn-native#68.
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Update commit id for test-data and webnn-samples webmachinelearning/webnn-native#60.
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[Node] add the Op div webmachinelearning/webnn-native#59.
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Support the devicePreference webmachinelearning/webnn-native#58.
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add the powerPreference for CreateContext for node binding webmachinelearning/webnn-native#53.
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Add operator into webnn.json and fix generator issue webmachinelearning/webnn-native#56.
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Add node.js electron example for DeepLab webmachinelearning/webnn-native#52.
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Fix ienn cmake warning webmachinelearning/webnn-native#55.
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Add node.js binding for Resample op webmachinelearning/webnn-native#51.
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1 pull request reopened.
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Fix the build error on Linux webmachinelearning/webnn-native#75, by @fujunwei.
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24 pull requests received 220 new comments.
-
Implement activation functions as fused operators and support fused Conv2d/BatchNorm webmachinelearning/webnn-native#62 (88 comments by @fujunwei, @huningxin, @mingmingtasd)
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Support Gru for IE webmachinelearning/webnn-native#88 (26 comments by @fujunwei, @miaobin, @mingmingtasd)
-
Add node.js binding for activations webmachinelearning/webnn-native#105 (22 comments by @BruceDai, @fujunwei, @huningxin, @mingmingtasd)
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Fix issue of node.js binding for ContextOptions webmachinelearning/webnn-native#86 (10 comments by @fujunwei, @huningxin, @mingmingtasd)
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Support fused C++ examples webmachinelearning/webnn-native#94 (9 comments by @huningxin, @mingmingtasd)
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Implement C API bridge of OpenVINIO/nGraph webmachinelearning/webnn-native#44 (9 comments by @fujunwei, @huningxin)
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add the powerPreference for CreateContext for node binding webmachinelearning/webnn-native#53 (9 comments by @fujunwei, @huningxin, @lionkunonly)
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Add node.js electron example for DeepLab webmachinelearning/webnn-native#52 (7 comments by @fujunwei, @Honry, @huningxin, @mingmingtasd)
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Add CI for OpenVINO backend on Windows platform. webmachinelearning/webnn-native#96 (6 comments by @BruceDai, @huningxin)
-
[IE] Add Op Max and bind it to the Node.js webmachinelearning/webnn-native#66 (4 comments by @huningxin, @lionkunonly)
-
Support the devicePreference webmachinelearning/webnn-native#58 (4 comments by @fujunwei, @lionkunonly)
-
Fix issue to print out detailed error messages when failing to add ops webmachinelearning/webnn-native#108 (3 comments by @fujunwei, @mingmingtasd)
-
[IE] add Op Pow and its node.js binding webmachinelearning/webnn-native#79 (3 comments by @huningxin, @lionkunonly)
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[IE]Add the op Min and its node.js binding webmachinelearning/webnn-native#77 (3 comments by @fujunwei, @huningxin, @lionkunonly)
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[Electron][Segmentation] support multi-threading wasm build webmachinelearning/webnn-native#110 (2 comments by @Honry, @huningxin)
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Add CI for Node Binding with WebNN native by OpenVINO backend on Linux platform. webmachinelearning/webnn-native#91 (2 comments by @BruceDai, @huningxin)
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Fix BUILD paths to third_party webmachinelearning/webnn-native#85 (2 comments by @bbernhar, @fujunwei)
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[IE] Transpose input for resample if the layout is NHWC webmachinelearning/webnn-native#74 (2 comments by @fujunwei, @huningxin)
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Missing include for building tests webmachinelearning/webnn-native#76 (2 comments by @bbernhar, @fujunwei)
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[Node] add the Op InstanceNorm webmachinelearning/webnn-native#64 (2 comments by @huningxin, @lionkunonly)
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Support app package for semantic segmentation sample webmachinelearning/webnn-native#113 (1 comment by @Honry)
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Add bash script for testing by OpenVINO backend on Windows. webmachinelearning/webnn-native#95 (1 comment by @BruceDai)
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webmachinelearning/webnn-samples
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2 issues opened.
-
Use fused activation of conv2d and batchNormalization webmachinelearning/webnn-samples#74, 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, by @vishaldhull09.
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3 issues closed.
-
Add the RNNoise example webmachinelearning/webnn-samples#9.
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Allow to configure device preference webmachinelearning/webnn-samples#70.
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Use fused activation of conv2d and batchNormalization webmachinelearning/webnn-samples#74.
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2 issues received 6 new comments.
-
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 (4 comments by @anssiko, @Honry, @vishaldhull09)
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-
6 pull requests opened.
-
Update README.md webmachinelearning/webnn-samples#83, by @Honry.
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Correct usage of tf.dispose to fix memory leak webmachinelearning/webnn-samples#82, by @Honry.
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Add Rnnoise sample to README.md webmachinelearning/webnn-samples#80, by @Honry.
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Enable device preference config via url query string webmachinelearning/webnn-samples#78, by @Honry.
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Use fused activation of conv2d and batchNorm webmachinelearning/webnn-samples#76, by @huningxin.
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Update dir of weight files for nsnet2 webmachinelearning/webnn-samples#73, by @Honry.
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8 pull requests merged.
-
Update README.md webmachinelearning/webnn-samples#83.
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Correct usage of tf.dispose to fix memory leak webmachinelearning/webnn-samples#82.
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Add Rnnoise sample to README.md webmachinelearning/webnn-samples#80.
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Add RNNoise example webmachinelearning/webnn-samples#69.
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Enable device preference config via url query string webmachinelearning/webnn-samples#78.
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Use fused activation of conv2d and batchNorm webmachinelearning/webnn-samples#76.
-
Update dir of weight files for nsnet2 webmachinelearning/webnn-samples#73.
-
Reusing the code of semantic segmentation for node example webmachinelearning/webnn-samples#71.
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8 pull requests received 24 new comments.
-
Reusing the code of semantic segmentation for node example webmachinelearning/webnn-samples#71 (4 comments by @Honry, @huningxin)
-
Add Rnnoise sample to README.md webmachinelearning/webnn-samples#80 (3 comments by @Honry, @huningxin)
-
Enable device preference config via url query string webmachinelearning/webnn-samples#78 (3 comments by @Honry, @huningxin)
-
Use fused activation of conv2d and batchNorm webmachinelearning/webnn-samples#76 (2 comments by @Honry, @huningxin)
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webmachinelearning/webnn-samples#72 (1 comment by @huningxin)
Participants
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1 participant left.
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Mike O'Neill (Baycloud Systems) left.
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1 organization left.
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Baycloud Systems left.
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GitHub
webmachinelearning/test-data
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3 pull requests opened.
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Add weight files for RNNoise webmachinelearning/test-data#11, by @miaobin.
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Add descriptions of test data for TinyYolov2 nhwc model. webmachinelearning/test-data#10, by @BruceDai.
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Add test data for DeepLab V3 MoblieNet V2 examples webmachinelearning/test-data#9, by @Honry.
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3 pull requests merged.
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Add weight files for RNNoise webmachinelearning/test-data#11.
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Add test data for DeepLab V3 MoblieNet V2 examples webmachinelearning/test-data#9.
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Add descriptions of test data for TinyYolov2 nhwc model. webmachinelearning/test-data#10.
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2 pull requests received 4 new comments.
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Add test data for DeepLab V3 MoblieNet V2 examples webmachinelearning/test-data#9 (1 comment by @Honry)
webmachinelearning/webnn-native
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9 issues opened.
-
Implement activation functions as fused operators to BatchNorm, Conv2d, gru and gruCell webmachinelearning/webnn-native#49, by @huningxin.
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[Node.js][Example] Add an Electron.js example of Fast Style Transfer webmachinelearning/webnn-native#47, by @huningxin.
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[Node.js][Example] Add an Electron.js example of Semantic Segmentation webmachinelearning/webnn-native#46, by @huningxin.
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[unitTests] GraphValidationTest.BuildCallBackSuccess failed webmachinelearning/webnn-native#34, by @mingmingtasd.
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Enhance CI to check OpenVINO backend. webmachinelearning/webnn-native#31, by @BruceDai.
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[DML] ResNet NCHW model tests doesn't meet the tolerance requirement webmachinelearning/webnn-native#23, by @mingmingtasd.
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[IE] Failed to build IE backend with OpenVINO 2021.4 webmachinelearning/webnn-native#20, by @mingmingtasd.
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[DML] ReduceMean can't support empty axes {} when keepDimensions == false webmachinelearning/webnn-native#19, by @mingmingtasd.
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[IE] ReduceMean can't support empty axes {} when keepDimensions == false webmachinelearning/webnn-native#18, by @mingmingtasd.
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-
6 issues closed.
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Implement the ops for the first-wave vision models webmachinelearning/webnn-native#5.
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Implement the sync API and require pre-allocated output buffers webmachinelearning/webnn-native#12.
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[unitTests] GraphValidationTest.BuildCallBackSuccess failed webmachinelearning/webnn-native#34.
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[IE] Failed to build IE backend with OpenVINO 2021.4 webmachinelearning/webnn-native#20.
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Run webnn-polyfill JS tests via node.js binding webmachinelearning/webnn-native#6.
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[IE] ReduceMean can't support empty axes {} when keepDimensions == false webmachinelearning/webnn-native#18.
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6 issues received 6 new comments.
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[Node.js][Example] Add an Electron.js example of Fast Style Transfer webmachinelearning/webnn-native#47 (1 comment by @huningxin)
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Implement the ops for the first-wave vision models webmachinelearning/webnn-native#5 (1 comment by @huningxin)
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Implement the sync API and require pre-allocated output buffers webmachinelearning/webnn-native#12 (1 comment by @huningxin)
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[unitTests] GraphValidationTest.BuildCallBackSuccess failed webmachinelearning/webnn-native#34 (1 comment by @mingmingtasd)
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[IE] Failed to build IE backend with OpenVINO 2021.4 webmachinelearning/webnn-native#20 (1 comment by @mingmingtasd)
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Run webnn-polyfill JS tests via node.js binding webmachinelearning/webnn-native#6 (1 comment by @huningxin)
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28 pull requests opened.
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Add node.js binding for Resample op webmachinelearning/webnn-native#51, by @mingmingtasd.
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Add regression check into CI. webmachinelearning/webnn-native#50, by @BruceDai.
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Support device selection for C++ examples with -d option webmachinelearning/webnn-native#48, by @mingmingtasd.
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[IE/DML] Support element-wise div webmachinelearning/webnn-native#45, by @mingmingtasd.
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Implement C API bridge of OpenVINIO/nGraph webmachinelearning/webnn-native#44, by @fujunwei.
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Enable all end2end tests on CPU/GPU with -d option webmachinelearning/webnn-native#43, by @mingmingtasd.
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Fix format issue. webmachinelearning/webnn-native#42, by @BruceDai.
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Add clang format checking into CI. webmachinelearning/webnn-native#41, by @BruceDai.
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Fix the failure for specified output webmachinelearning/webnn-native#40, by @lionkunonly.
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[IE/DML]Implement InstanceNorm webmachinelearning/webnn-native#39, by @miaobin.
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Refactor C++ examples codes webmachinelearning/webnn-native#38, by @mingmingtasd.
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Support Tanh for IE/DML webmachinelearning/webnn-native#37, by @miaobin.
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Support device selection for IE/DML webmachinelearning/webnn-native#36, by @mingmingtasd.
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Implement sync api and pre-allocated buffer webmachinelearning/webnn-native#35, by @fujunwei.
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Add the electron object detection sample webmachinelearning/webnn-native#33, by @lionkunonly.
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Update CI badges. webmachinelearning/webnn-native#32, by @BruceDai.
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Support Sigmoid for IE/DML webmachinelearning/webnn-native#30, by @miaobin.
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[IE/DML]Implement InstanceNorm webmachinelearning/webnn-native#29, by @lisa0314.
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Add CI to build and test null and DML backend. webmachinelearning/webnn-native#28, by @BruceDai.
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[IE\DML]Implement sub op webmachinelearning/webnn-native#27, by @lisa0314.
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[IE/DML]Implement resample webmachinelearning/webnn-native#26, by @lisa0314.
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Refactor IE codes and upgrade OpenVINO to 2021.4 webmachinelearning/webnn-native#25, by @mingmingtasd.
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Support ResNet nchw/nhwc and refactor some codes webmachinelearning/webnn-native#24, by @mingmingtasd.
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add the Node.js Op reduceMean webmachinelearning/webnn-native#22, by @lionkunonly.
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Support Pad for IE/DML webmachinelearning/webnn-native#21, by @mingmingtasd.
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add the check for Constants of the type Uint32, Int8, Uint8 webmachinelearning/webnn-native#17, by @lionkunonly.
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Build ienn binary with ninja action webmachinelearning/webnn-native#16, by @fujunwei.
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[IE] Refactor Clamp implementation webmachinelearning/webnn-native#15, by @mingmingtasd.
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26 pull requests merged.
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[IE/DML] Support element-wise div webmachinelearning/webnn-native#45.
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Add regression check into CI. webmachinelearning/webnn-native#50.
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Support device selection for C++ examples with -d option webmachinelearning/webnn-native#48.
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Refactor C++ examples codes webmachinelearning/webnn-native#38.
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[IE/DML]Implement InstanceNorm webmachinelearning/webnn-native#39.
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Enable all end2end tests on CPU/GPU with -d option webmachinelearning/webnn-native#43.
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Fix format issue. webmachinelearning/webnn-native#42.
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Add clang format checking into CI. webmachinelearning/webnn-native#41.
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Implement sync api and pre-allocated buffer webmachinelearning/webnn-native#35.
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Support device selection for IE/DML webmachinelearning/webnn-native#36.
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Support Tanh for IE/DML webmachinelearning/webnn-native#37.
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Add the electron object detection sample webmachinelearning/webnn-native#33.
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Update CI badges. webmachinelearning/webnn-native#32.
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[IE/DML]Implement resample webmachinelearning/webnn-native#26.
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Add CI to build and test null and DML backend. webmachinelearning/webnn-native#28.
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Support Sigmoid for IE/DML webmachinelearning/webnn-native#30.
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[IE\DML]Implement sub op webmachinelearning/webnn-native#27.
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Refactor IE codes and upgrade OpenVINO to 2021.4 webmachinelearning/webnn-native#25.
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Support ResNet nchw/nhwc and refactor some codes webmachinelearning/webnn-native#24.
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Build ienn binary with ninja action webmachinelearning/webnn-native#16.
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Support Pad for IE/DML webmachinelearning/webnn-native#21.
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add the Node.js Op reduceMean webmachinelearning/webnn-native#22.
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[Node] define navigator.ml with webnn-native webmachinelearning/webnn-native#14.
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Support reduceMean for IE/DML webmachinelearning/webnn-native#13.
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add the check for Constants of the type Uint32, Int8, Uint8 webmachinelearning/webnn-native#17.
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[IE] Refactor Clamp implementation webmachinelearning/webnn-native#15.
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2 pull requests closed.
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Fix the failure for specified output webmachinelearning/webnn-native#40.
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[IE/DML]Implement InstanceNorm webmachinelearning/webnn-native#29.
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23 pull requests received 223 new comments.
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Implement sync api and pre-allocated buffer webmachinelearning/webnn-native#35 (49 comments by @fujunwei, @huningxin)
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Support device selection for IE/DML webmachinelearning/webnn-native#36 (21 comments by @fujunwei, @huningxin, @mingmingtasd, @wchao1115)
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[IE/DML]Implement resample webmachinelearning/webnn-native#26 (21 comments by @fujunwei, @huningxin, @lisa0314)
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Support Pad for IE/DML webmachinelearning/webnn-native#21 (16 comments by @fujunwei, @huningxin, @mingmingtasd)
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Enable all end2end tests on CPU/GPU with -d option webmachinelearning/webnn-native#43 (14 comments by @BruceDai, @fujunwei, @huningxin, @mingmingtasd)
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Add CI to build and test null and DML backend. webmachinelearning/webnn-native#28 (11 comments by @BruceDai, @huningxin)
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Build ienn binary with ninja action webmachinelearning/webnn-native#16 (11 comments by @fujunwei, @huningxin)
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Add the electron object detection sample webmachinelearning/webnn-native#33 (9 comments by @fujunwei, @lionkunonly)
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Support reduceMean for IE/DML webmachinelearning/webnn-native#13 (9 comments by @huningxin, @mingmingtasd)
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[Node] define navigator.ml with webnn-native webmachinelearning/webnn-native#14 (9 comments by @fujunwei, @huningxin)
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[IE/DML]Implement InstanceNorm webmachinelearning/webnn-native#39 (8 comments by @huningxin, @miaobin, @mingmingtasd)
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[IE/DML]Implement InstanceNorm webmachinelearning/webnn-native#29 (8 comments by @fujunwei, @huningxin, @lisa0314)
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Support ResNet nchw/nhwc and refactor some codes webmachinelearning/webnn-native#24 (6 comments by @fujunwei, @mingmingtasd)
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Add node.js binding for Resample op webmachinelearning/webnn-native#51 (5 comments by @Honry, @huningxin, @mingmingtasd)
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Refactor C++ examples codes webmachinelearning/webnn-native#38 (4 comments by @fujunwei, @huningxin, @mingmingtasd)
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Support Sigmoid for IE/DML webmachinelearning/webnn-native#30 (4 comments by @huningxin, @miaobin, @mingmingtasd)
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[IE] Refactor Clamp implementation webmachinelearning/webnn-native#15 (4 comments by @huningxin, @mingmingtasd)
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Fix the failure for specified output webmachinelearning/webnn-native#40 (2 comments by @huningxin, @lionkunonly)
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Refactor IE codes and upgrade OpenVINO to 2021.4 webmachinelearning/webnn-native#25 (2 comments by @fujunwei, @mingmingtasd)
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add the Node.js Op reduceMean webmachinelearning/webnn-native#22 (2 comments by @fujunwei, @lionkunonly)
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add the check for Constants of the type Uint32, Int8, Uint8 webmachinelearning/webnn-native#17 (2 comments by @huningxin, @lionkunonly)
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webmachinelearning/webnn-samples
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2 issues opened.
-
Allow to configure device preference webmachinelearning/webnn-samples#70, by @huningxin.
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Adapt to sync API and require pre-allocated output buffers webmachinelearning/webnn-samples#57, by @huningxin.
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4 issues closed.
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Add the semantic segmentation sample webmachinelearning/webnn-samples#53.
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Deployment fails due to PR #45 merge webmachinelearning/webnn-samples#50.
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Adapt to sync API and require pre-allocated output buffers webmachinelearning/webnn-samples#57.
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Add SSD model into object detection sample webmachinelearning/webnn-samples#52.
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2 issues received 2 new comments.
-
11 pull requests opened.
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Reusing the code of semantic segmentation for node example webmachinelearning/webnn-samples#71, by @Honry.
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Add RNNoise example webmachinelearning/webnn-samples#69, by @miaobin.
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Do warm up if run inference multiple times webmachinelearning/webnn-samples#68, by @Honry.
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Support setting more backends via url query string webmachinelearning/webnn-samples#66, by @Honry.
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Fixed unexpected error during model switch for Deeplab webmachinelearning/webnn-samples#65, by @Honry.
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Fixed unexpected error during model switch webmachinelearning/webnn-samples#63, by @Honry.
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Support reusing code of object detection webmachinelearning/webnn-samples#62, by @lionkunonly.
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Add semantic segmentation example webmachinelearning/webnn-samples#61, by @Honry.
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Enable test-data submodule webmachinelearning/webnn-samples#60, by @Honry.
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Make test-data as submodule to improve the load time of weight files webmachinelearning/webnn-samples#59, by @Honry.
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Adapt samples to sync API and require pre-allocated output buffers webmachinelearning/webnn-samples#58, by @Honry.
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10 pull requests merged.
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Do warm up if run inference multiple times webmachinelearning/webnn-samples#68.
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Support setting more backends via url query string webmachinelearning/webnn-samples#66.
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Fixed unexpected error during model switch for Deeplab webmachinelearning/webnn-samples#65.
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Fixed unexpected error during model switch webmachinelearning/webnn-samples#63.
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Add semantic segmentation example webmachinelearning/webnn-samples#61.
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Support reusing code of object detection webmachinelearning/webnn-samples#62.
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Enable test-data submodule webmachinelearning/webnn-samples#60.
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Make test-data as submodule to improve the load time of weight files webmachinelearning/webnn-samples#59.
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Adapt samples to sync API and require pre-allocated output buffers webmachinelearning/webnn-samples#58.
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Add SSD MobileNet V1 coco examples webmachinelearning/webnn-samples#55.
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11 pull requests received 57 new comments.
-
Add RNNoise example webmachinelearning/webnn-samples#69 (19 comments by @Honry, @huningxin, @miaobin)
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Adapt samples to sync API and require pre-allocated output buffers webmachinelearning/webnn-samples#58 (17 comments by @Honry, @huningxin)
-
Support reusing code of object detection webmachinelearning/webnn-samples#62 (7 comments by @Honry, @huningxin, @lionkunonly)
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Fixed unexpected error during model switch webmachinelearning/webnn-samples#63 (5 comments by @Honry, @huningxin, @ibelem)
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Make test-data as submodule to improve the load time of weight files webmachinelearning/webnn-samples#59 (2 comments by @Honry, @mingmingtasd)
-
Reusing the code of semantic segmentation for node example webmachinelearning/webnn-samples#71 (1 comment by @Honry)
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Do warm up if run inference multiple times webmachinelearning/webnn-samples#68 (1 comment by @Honry)
-
Support setting more backends via url query string webmachinelearning/webnn-samples#66 (1 comment by @Honry)
-
Fixed unexpected error during model switch for Deeplab webmachinelearning/webnn-samples#65 (1 comment by @Honry)
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Participants
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2 participants joined.
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Honglin Yu (Google LLC) joined.
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Kamalesh Palanisamy joined.
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2 participants left.
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James Darpinian (Google LLC) left.
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Nick Kreeger (Google LLC) left.
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GitHub
webmachinelearning/webnn-native
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1 issue opened.
-
Implement the sync API and require pre-allocated output buffers webmachinelearning/webnn-native#12, by @huningxin.
-
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1 issue received 1 new comment.
-
Implement the ops for the first-wave vision models webmachinelearning/webnn-native#5 (1 comment by @huningxin)
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-
4 pull requests opened.
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[Node] define navigator.ml with webnn-native webmachinelearning/webnn-native#14, by @fujunwei.
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Support reduceMean for IE/DML webmachinelearning/webnn-native#13, by @mingmingtasd.
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Add WebNN-native binding for Node.js to expose WebNN JavaScript API webmachinelearning/webnn-native#11, by @fujunwei.
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Add oneDNN/XNNPACK backend and support MobileNet/SqueezeNet model webmachinelearning/webnn-native#10, by @fujunwei.
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2 pull requests merged.
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Add WebNN-native binding for Node.js to expose WebNN JavaScript API webmachinelearning/webnn-native#11.
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Add oneDNN/XNNPACK backend and support MobileNet/SqueezeNet model webmachinelearning/webnn-native#10.
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3 pull requests received 43 new comments.
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Add WebNN-native binding for Node.js to expose WebNN JavaScript API webmachinelearning/webnn-native#11 (20 comments by @BruceDai, @fujunwei, @huningxin)
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Add oneDNN/XNNPACK backend and support MobileNet/SqueezeNet model webmachinelearning/webnn-native#10 (12 comments by @anssiko, @BruceDai, @fujunwei, @huningxin)
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Support reduceMean for IE/DML webmachinelearning/webnn-native#13 (11 comments by @fujunwei, @mingmingtasd)
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webmachinelearning/webnn-samples
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2 issues opened.
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Add the semantic segmentation sample webmachinelearning/webnn-samples#53, by @huningxin.
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Add SSD model into object detection sample webmachinelearning/webnn-samples#52, by @huningxin.
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2 issues closed.
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[Gemm] only support 2d tensor webmachinelearning/webnn-samples#47.
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Add the TinyYOLO example webmachinelearning/webnn-samples#8.
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3 issues received 7 new comments.
-
Add SSD model into object detection sample webmachinelearning/webnn-samples#52 (3 comments by @Honry)
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Add the semantic segmentation sample webmachinelearning/webnn-samples#53 (2 comments by @Honry, @huningxin)
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[Gemm] only support 2d tensor webmachinelearning/webnn-samples#47 (2 comments by @fujunwei, @huningxin)
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-
1 pull request opened.
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Add SSD MobileNet V1 coco examples webmachinelearning/webnn-samples#55, by @Honry.
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2 pull requests merged.
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Support reusing code of image_classification webmachinelearning/webnn-samples#49.
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Add Tiny Yolov2 samples webmachinelearning/webnn-samples#51.
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3 pull requests received 18 new comments.
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Support reusing code of image_classification webmachinelearning/webnn-samples#49 (11 comments by @Honry, @huningxin, @mingmingtasd)
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webmachinelearning/test-data
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2 pull requests opened.
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Add weight files for SSD MobileNet V1 coco model webmachinelearning/test-data#8, by @Honry.
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Added test data for ResNet models and TinyYolov2 models. webmachinelearning/test-data#7, by @BruceDai.
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2 pull requests merged.
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Added test data for ResNet models and TinyYolov2 models. webmachinelearning/test-data#7.
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Add weight files for SSD MobileNet V1 coco model webmachinelearning/test-data#8.
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1 pull request received 1 new comment.
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Add weight files for SSD MobileNet V1 coco model webmachinelearning/test-data#8 (1 comment by @Honry)
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webmachinelearning/webmachinelearning.github.io
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1 issue opened.
-
Navigation webmachinelearning/webmachinelearning.github.io#12, by @anssiko.
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-
9 pull requests opened.
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Update WebNN feature highlights webmachinelearning/webmachinelearning.github.io#11, by @anssiko.
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Fix index page link webnn -> webnn-intro webmachinelearning/webmachinelearning.github.io#10, by @anssiko.
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Fix webnn-samples link webmachinelearning/webmachinelearning.github.io#9, by @anssiko.
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Update community section webmachinelearning/webmachinelearning.github.io#7, by @anssiko.
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Update navigation to fix namespace clash with existing webnn-samples webmachinelearning/webmachinelearning.github.io#6, by @anssiko.
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Update navigation to fix namespace clash with existing webnn repo webmachinelearning/webmachinelearning.github.io#5, by @anssiko.
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Add logo for the Bikeshed spec template webmachinelearning/webmachinelearning.github.io#4, by @anssiko.
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Add new Web Machine Learning website webmachinelearning/webmachinelearning.github.io#2, by @ibelem.
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9 pull requests merged.
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Update WebNN feature highlights webmachinelearning/webmachinelearning.github.io#11.
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Fix index page link webnn -> webnn-intro webmachinelearning/webmachinelearning.github.io#10.
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Fix webnn-samples link webmachinelearning/webmachinelearning.github.io#9.
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Tweak CSS webmachinelearning/webmachinelearning.github.io#8.
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Update community section webmachinelearning/webmachinelearning.github.io#7.
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Update navigation to fix namespace clash with existing webnn-samples webmachinelearning/webmachinelearning.github.io#6.
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Update navigation to fix namespace clash with existing webnn repo webmachinelearning/webmachinelearning.github.io#5.
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Add logo for the Bikeshed spec template webmachinelearning/webmachinelearning.github.io#4.
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Add new Web Machine Learning website webmachinelearning/webmachinelearning.github.io#2.
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2 pull requests received 2 new comments.
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Update navigation to fix namespace clash with existing webnn repo webmachinelearning/webmachinelearning.github.io#5 (1 comment by @ibelem)
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Add new Web Machine Learning website webmachinelearning/webmachinelearning.github.io#2 (1 comment by @anssiko)
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webmachinelearning/meetings
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1 pull request opened.
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Add webnn-native PR into the agenda webmachinelearning/meetings#17, by @huningxin.
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1 pull request merged.
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Add webnn-native PR into the agenda webmachinelearning/meetings#17.
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1 pull request received 1 new comment.
GitHub
webmachinelearning/webnn-samples
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2 issues opened.
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Deployment fails due to PR #45 merge webmachinelearning/webnn-samples#50, by @huningxin.
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[Gemm] only support 2d tensor webmachinelearning/webnn-samples#47, by @fujunwei.
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1 issue closed.
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Add the ResNet example webmachinelearning/webnn-samples#7.
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1 issue received 1 new comment.
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5 pull requests opened.
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Add Tiny Yolov2 samples webmachinelearning/webnn-samples#51, by @Honry.
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Support reusing code of image_classification webmachinelearning/webnn-samples#49, by @mingmingtasd.
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Fixed gemm with 2-D optional third input in mobilenetv2 nchw model. webmachinelearning/webnn-samples#48, by @BruceDai.
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Support ES6 module to reuse example code webmachinelearning/webnn-samples#46, by @mingmingtasd.
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Add ResNet example webmachinelearning/webnn-samples#45, by @Honry.
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3 pull requests merged.
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Add ResNet example webmachinelearning/webnn-samples#45.
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Fixed autoPad issue of conv2d op for SqueezeNet nhwc model and MobileNetv2 nhwc model. webmachinelearning/webnn-samples#42.
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Support ES6 module to reuse example code webmachinelearning/webnn-samples#46.
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1 pull request closed.
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Fixed gemm with 2-D optional third input in mobilenetv2 nchw model. webmachinelearning/webnn-samples#48.
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5 pull requests received 31 new comments.
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Support reusing code of image_classification webmachinelearning/webnn-samples#49 (10 comments by @Honry, @huningxin, @mingmingtasd)
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Support ES6 module to reuse example code webmachinelearning/webnn-samples#46 (6 comments by @Honry, @mingmingtasd)
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Fixed gemm with 2-D optional third input in mobilenetv2 nchw model. webmachinelearning/webnn-samples#48 (3 comments by @BruceDai, @huningxin)
webmachinelearning/test-data
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2 pull requests opened.
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Add weight files for tiny-yolov2 webmachinelearning/test-data#6, by @Honry.
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Add .npy weight files for resnet webmachinelearning/test-data#5, by @Honry.
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2 pull requests merged.
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Add weight files for tiny-yolov2 webmachinelearning/test-data#6.
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Add .npy weight files for resnet webmachinelearning/test-data#5.
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2 pull requests received 3 new comments.
Participants
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2 participants joined.
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Josue Bustos joined.
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Alexandre Gilotte (Criteo) joined.
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GitHub
webmachinelearning/test-data
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4 pull requests opened.
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Add weight and test data files webmachinelearning/test-data#4, by @Honry.
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Add weights sub-folder specific for weight files webmachinelearning/test-data#3, by @Honry.
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Update README.md webmachinelearning/test-data#2, by @anssiko.
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Migrate weights files from webnn-samples webmachinelearning/test-data#1, by @Honry.
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4 pull requests merged.
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Add weight and test data files webmachinelearning/test-data#4.
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Add weights sub-folder specific for weight files webmachinelearning/test-data#3.
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Migrate weights files from webnn-samples webmachinelearning/test-data#1.
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Update README.md webmachinelearning/test-data#2.
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3 pull requests received 14 new comments.
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Migrate weights files from webnn-samples webmachinelearning/test-data#1 (11 comments by @Honry, @huningxin)
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Add weights sub-folder specific for weight files webmachinelearning/test-data#3 (1 comment by @Honry)
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webmachinelearning/webnn-samples
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2 issues opened.
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Update the code according to spec change webmachinelearning/webnn-samples#35, by @huningxin.
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Upgrade github actions and add dependabot webmachinelearning/webnn-samples#33, by @huningxin.
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5 issues closed.
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Add the MobileNet example webmachinelearning/webnn-samples#6.
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Add the SqueezeNet example webmachinelearning/webnn-samples#5.
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Update the code according to spec change webmachinelearning/webnn-samples#35.
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Upgrade github actions and add dependabot webmachinelearning/webnn-samples#33.
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Add the style transfer example webmachinelearning/webnn-samples#25.
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1 issue received 1 new comment.
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9 pull requests opened.
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Fixed autoPad issue of conv2d op for SqueezeNet nhwc model and MobileNetv2 nhwc model. webmachinelearning/webnn-samples#42, by @BruceDai.
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Add 'numRuns' parameter to run the inference multiple times webmachinelearning/webnn-samples#41, by @Honry.
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Update test-data url webmachinelearning/webnn-samples#40, by @Honry.
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Use weight files from test-data repo webmachinelearning/webnn-samples#39, by @Honry.
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Update LeNet reference link webmachinelearning/webnn-samples#38, by @Honry.
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Add image classification examples webmachinelearning/webnn-samples#37, by @Honry.
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Adapted samples to latest WebNN spec webmachinelearning/webnn-samples#36, by @Honry.
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Upgrade github actions and add dependabot webmachinelearning/webnn-samples#34, by @Honry.
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Update style transfer sample link webmachinelearning/webnn-samples#32, by @Honry.
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9 pull requests merged.
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Add 'numRuns' parameter to run the inference multiple times webmachinelearning/webnn-samples#41.
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Update test-data url webmachinelearning/webnn-samples#40.
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Use weight files from test-data repo webmachinelearning/webnn-samples#39.
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Update LeNet reference link webmachinelearning/webnn-samples#38.
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Add image classification examples webmachinelearning/webnn-samples#37.
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Adapted samples to latest WebNN spec webmachinelearning/webnn-samples#36.
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Upgrade github actions and add dependabot webmachinelearning/webnn-samples#34.
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Update style transfer sample link webmachinelearning/webnn-samples#32.
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Add style transfer example webmachinelearning/webnn-samples#31.
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8 pull requests received 59 new comments.
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Add image classification examples webmachinelearning/webnn-samples#37 (45 comments by @anssiko, @BruceDai, @Honry, @huningxin)
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Add 'numRuns' parameter to run the inference multiple times webmachinelearning/webnn-samples#41 (2 comments by @BruceDai, @Honry)
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webmachinelearning/webnn-native
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1 issue opened.
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Implement the changes/additions of ops for style transfer models webmachinelearning/webnn-native#8, by @huningxin.
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1 issue closed.
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Implement the MLContext, MLGraphBuilder and MLGraph webmachinelearning/webnn-native#7.
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1 pull request opened.
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Implement new spec api webmachinelearning/webnn-native#9, by @fujunwei.
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2 pull requests merged.
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Implement new spec api webmachinelearning/webnn-native#9.
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Fix depot_tools installation steps for Windows webmachinelearning/webnn-native#4.
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2 pull requests received 15 new comments.
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Fix depot_tools installation steps for Windows webmachinelearning/webnn-native#4 (2 comments by @huningxin, @wchao1115)
webmachinelearning/model-loader
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1 pull request opened.
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Build with the latest Bikeshed version webmachinelearning/model-loader#6, by @anssiko.
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1 pull request merged.
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Build with the latest Bikeshed version webmachinelearning/model-loader#6.
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1 pull request received 1 new comment.
webmachinelearning/charter
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1 pull request opened.
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Rename coordination webmachinelearning/charter#8, by @anssiko.
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1 pull request merged.
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Rename coordination webmachinelearning/charter#8.
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webmachinelearning/webmachinelearning.github.io
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1 pull request opened.
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Integrate WG to the landing page webmachinelearning/webmachinelearning.github.io#1, by @anssiko.
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1 pull request merged.
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Integrate WG to the landing page webmachinelearning/webmachinelearning.github.io#1.
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Participants
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7 participants joined.
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Lionel Basdevant (Criteo) joined.
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Sitar Harel (Google LLC) joined.
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Romain Beaumont (Criteo) joined.
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Zachary Whitley joined.
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Sam Bhattacharyya joined.
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Eliana Mejia joined.
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Piyush Chauhan joined.
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2 organizations joined.
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Criteo joined.
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Vectorly joined.
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GitHub
webmachinelearning/webnn-samples
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1 issue opened.
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Enhance to run LeNet sample by multi times, and show median execution time. webmachinelearning/webnn-samples#29, by @BruceDai.
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1 issue closed.
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Enhance to run LeNet sample by multi times, and show median execution time. webmachinelearning/webnn-samples#29.
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2 issues received 8 new comments.
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Add the style transfer example webmachinelearning/webnn-samples#25 (7 comments by @anssiko, @Honry, @huningxin)
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Enhance to run LeNet sample by multi times, and show median execution time. webmachinelearning/webnn-samples#29 (1 comment by @BruceDai)
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3 pull requests opened.
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Add style transfer example webmachinelearning/webnn-samples#31, by @Honry.
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[lenet] Enhance to run LeNet Sample by multi times. webmachinelearning/webnn-samples#30, by @BruceDai.
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Fix nsnet2 failure webmachinelearning/webnn-samples#28, by @huningxin.
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2 pull requests merged.
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[lenet] Enhance to run LeNet Sample by multi times. webmachinelearning/webnn-samples#30.
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Fix nsnet2 failure webmachinelearning/webnn-samples#28.
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3 pull requests received 43 new comments.
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Add style transfer example webmachinelearning/webnn-samples#31 (35 comments by @BruceDai, @Honry, @huningxin)
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[lenet] Enhance to run LeNet Sample by multi times. webmachinelearning/webnn-samples#30 (6 comments by @BruceDai, @huningxin)
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webmachinelearning/webnn-native
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5 issues opened.
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Implement the MLContext, MLGraphBuilder and MLGraph webmachinelearning/webnn-native#7, by @huningxin.
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Run webnn-polyfill JS tests via node.js binding webmachinelearning/webnn-native#6, by @huningxin.
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Implement the ops for the first-wave vision models webmachinelearning/webnn-native#5, by @huningxin.
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DML device wrapper should be a DEPS webmachinelearning/webnn-native#3, by @huningxin.
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ienn should be a DEPS webmachinelearning/webnn-native#2, by @huningxin.
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2 pull requests opened.
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Fix depot_tools installation steps for Windows webmachinelearning/webnn-native#4, by @huningxin.
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Add the initial implementation webmachinelearning/webnn-native#1, by @huningxin.
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1 pull request merged.
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Add the initial implementation webmachinelearning/webnn-native#1.
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2 pull requests received 39 new comments.
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Add the initial implementation webmachinelearning/webnn-native#1 (38 comments by @anssiko, @huningxin, @Kangz, @pyu10055, @wchao1115)
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Fix depot_tools installation steps for Windows webmachinelearning/webnn-native#4 (1 comment by @huningxin)
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webmachinelearning/proposals
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1 issue received 3 new comments.
webmachinelearning/model-loader
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1 issue received 1 new comment.
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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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Participants
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1 participant left.
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Caroline Burle (NIC.br - Brazilian Network Information Center) left.
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GitHub
webmachinelearning/webnn-samples
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1 issue opened.
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Add the style transfer example webmachinelearning/webnn-samples#25, by @huningxin.
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1 issue received 1 new comment.
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2 pull requests opened.
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Add the github actions for gh-pages deployment webmachinelearning/webnn-samples#27, by @huningxin.
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Optimize the nsnet2 example for explainer usage webmachinelearning/webnn-samples#26, by @huningxin.
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2 pull requests merged.
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Add the github actions for gh-pages deployment webmachinelearning/webnn-samples#27.
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Optimize the nsnet2 example for explainer usage webmachinelearning/webnn-samples#26.
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2 pull requests received 7 new comments.
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Add the github actions for gh-pages deployment webmachinelearning/webnn-samples#27 (6 comments by @BruceDai, @huningxin)
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Optimize the nsnet2 example for explainer usage webmachinelearning/webnn-samples#26 (1 comment by @huningxin)
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webmachinelearning/model-loader
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1 issue opened.
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Is there any code that can be downloaded/imported? webmachinelearning/model-loader#5, by @kirill-konshin.
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1 issue received 7 new comments.
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Is there any code that can be downloaded/imported? webmachinelearning/model-loader#5 (7 comments by @anssiko, @huningxin, @kirill-konshin)
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webmachinelearning/proposals
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1 issue received 5 new comments.
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Operation-specific APIs webmachinelearning/proposals#2 (5 comments by @huningxin, @jbingham, @pyu10055, @wchao1115)
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Participants
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1 participant joined.
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Taimur Khan joined.
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1 participant left.
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Siyang Liu (Baidu, Inc.) left.
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GitHub
webmachinelearning/webnn-samples
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1 issue closed.
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Add the NSNet example webmachinelearning/webnn-samples#10.
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2 issues received 3 new comments.
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Inconsistent ”Could not get context for WebGL version 2” error message webmachinelearning/webnn-samples#21 (2 comments by @anssiko, @gauravdhra)
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2 pull requests opened.
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Add the link of nsnet2 example into README.md webmachinelearning/webnn-samples#24, by @huningxin.
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Deploy NSNet2 sample to gh-pages webmachinelearning/webnn-samples#23, by @huningxin.
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3 pull requests merged.
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Add the link of nsnet2 example into README.md webmachinelearning/webnn-samples#24.
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Deploy NSNet2 sample to gh-pages webmachinelearning/webnn-samples#23.
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Add NSNet2 sample webmachinelearning/webnn-samples#22.
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3 pull requests received 5 new comments.
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Add the link of nsnet2 example into README.md webmachinelearning/webnn-samples#24 (1 comment by @huningxin)
webmachinelearning/proposals
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2 issues received 10 new comments.
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Data processing proposal webmachinelearning/proposals#1 (8 comments by @anssiko, @gramalingam, @WenheLI)
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webmachinelearning/meetings
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1 pull request opened.
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Add github issue link of webnn-native topic webmachinelearning/meetings#16, by @huningxin.
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1 pull request merged.
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Add github issue link of webnn-native topic webmachinelearning/meetings#16.
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