Web Machine Learning Working Group - Activity
No matches.
TR publications
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2 documents published.
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Web Neural Network API published twice as a Candidate Recommendation Draft. History of Web Neural Network API
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Past meetings
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1 meeting.
Participants
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1 participant joined.
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Dave Raggett (W3C) joined.
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3 participants left.
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Josi Rosenfeld (CleverThis, Inc.) left.
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Adnaan Nazir (CleverThis, Inc.) left.
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Aditya Chhabra (CleverThis, Inc.) left.
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GitHub
webmachinelearning/webnn
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2 issues opened.
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Direct Video Plane Access for WebNN webmachinelearning/webnn#961, by @bbernhar.
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Clarify finite/infinite classification at numerical tolerance boundaries webmachinelearning/webnn#960, by @matthargett.
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2 issues closed.
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Validate LSTM/GRU full-sequence output regardless of the `returnSequence` flag webmachinelearning/webnn#949.
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Proposal: STC-1.0 Tensor Container for Zero-Copy WebGPU/Wasm Loading and Cryptographic Provenance webmachinelearning/webnn#952.
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3 issues received 4 new comments.
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Proposal: STC-1.0 Tensor Container for Zero-Copy WebGPU/Wasm Loading and Cryptographic Provenance webmachinelearning/webnn#952 (2 comments by @anssiko, @sovereign-ecosystem)
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reduceLogSumExp reference decomposition contradicts conformance test; accuracy requirements missing webmachinelearning/webnn#947 (1 comment by @fdwr)
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conv2d: infer groups from input and filter shapes when not specified webmachinelearning/webnn#959 (1 comment by @fdwr)
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3 pull requests merged.
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Add low-precision floating point data types explainer webmachinelearning/webnn#938.
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Add stable decomposition clarification webmachinelearning/webnn#957.
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Enforce validation when creating an MLOperandDescriptor webmachinelearning/webnn#955.
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6 pull requests received 23 new comments.
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Add `bfloat16` and `float8e4m3` to the spec webmachinelearning/webnn#956 (11 comments by @fdwr, @mklimenko-nv)
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Add dynamic shape explainer webmachinelearning/webnn#945 (8 comments by @anssiko, @huningxin, @miaobin)
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Refactor device selection: Rename to computePolicy, remove accelerated, and add fallback webmachinelearning/webnn#923 (1 comment by @mingmingtasd)
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Add low-precision floating point data types explainer webmachinelearning/webnn#938 (1 comment by @huningxin)
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Enforce validation when creating an MLOperandDescriptor webmachinelearning/webnn#955 (1 comment by @shiyi9801)
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TR publications
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2 documents published.
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Web Neural Network API published twice as a Candidate Recommendation Draft. History of Web Neural Network API
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Past meetings
Participants
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1 participant joined.
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Rattan Priya Bhasin (Microsoft Corporation) joined.
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3 participants left.
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Kaushik Satpathy (Yahoo Holdings Inc.) left.
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ChangSeok Oh (ByteDance) left.
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Stephan Morris (See Me Please) left.
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1 organization left.
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Yahoo Holdings Inc. left.
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GitHub
webmachinelearning/webnn
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2 issues opened.
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conv2d: infer groups from input and filter shapes when not specified webmachinelearning/webnn#959, by @ibelem.
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MLTensor export to GPUBuffer with custom usages? webmachinelearning/webnn#954, by @mwyrzykowski.
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3 issues closed.
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A conformance suite with disallowed intra-op examples would be helpful for hardening. webmachinelearning/webnn#244.
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Mandate `output_channels % groups == 0` validation for conv2d webmachinelearning/webnn#925.
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`gather` should allow 0D output webmachinelearning/webnn#946.
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13 issues received 31 new comments.
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Composite operators / subgraphs webmachinelearning/webnn#907 (9 comments by @anssiko, @huningxin, @mwyrzykowski, @OlehZhyhinas, @snnn, @Yuhengwe1)
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Accumulation precision is unspecified for matmul/gemm and reduction operations webmachinelearning/webnn#948 (3 comments by @anssiko, @fdwr, @matthargett)
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MLTensor export to GPUBuffer with custom usages? webmachinelearning/webnn#954 (3 comments by @bbernhar, @fdwr, @mwyrzykowski)
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Validate LSTM/GRU full-sequence output regardless of the `returnSequence` flag webmachinelearning/webnn#949 (3 comments by @anssiko, @huningxin, @shiyi9801)
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Consider specify lower limit for conv2d/pool2d kernel sizes, dilations, strides webmachinelearning/webnn#928 (2 comments by @anssiko)
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Discrepancy in actual and expected output for subgraph test : batchNormalization options.axis=0 + gelu webmachinelearning/webnn#950 (2 comments by @fdwr, @matthargett)
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Allow 0 size dimensions (dimensions containing a 0 in the list of sizes, not a rank of 0 which is valid) webmachinelearning/webnn#391 (2 comments by @anssiko, @matthargett)
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reduceLogSumExp reference decomposition contradicts conformance test; accuracy requirements missing webmachinelearning/webnn#947 (2 comments by @anssiko, @matthargett)
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A conformance suite with disallowed intra-op examples would be helpful for hardening. webmachinelearning/webnn#244 (1 comment by @anssiko)
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Mandate `output_channels % groups == 0` validation for conv2d webmachinelearning/webnn#925 (1 comment by @anssiko)
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4 pull requests opened.
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Add stable decomposition clarification webmachinelearning/webnn#957, by @mklimenko-nv.
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Add `bfloat16` and `float8e4m3` to the spec webmachinelearning/webnn#956, by @mklimenko-nv.
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Enforce validation when creating an MLOperandDescriptor webmachinelearning/webnn#955, by @shiyi9801.
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Bugfix: Allow 0-D output for gather() webmachinelearning/webnn#953, by @huningxin.
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2 pull requests merged.
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Add initial WebNN-WebGPU Interop specification webmachinelearning/webnn#942.
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Bugfix: Allow 0-D output for gather() webmachinelearning/webnn#953.
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5 pull requests received 62 new comments.
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Add dynamic shape explainer webmachinelearning/webnn#945 (45 comments by @anssiko, @fdwr, @matthargett, @miaobin, @reillyeon, @theHamsta)
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Add initial WebNN-WebGPU Interop specification webmachinelearning/webnn#942 (10 comments by @anssiko, @bbernhar, @fdwr)
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Enforce validation when creating an MLOperandDescriptor webmachinelearning/webnn#955 (4 comments by @anssiko, @huningxin, @shiyi9801)
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Add low-precision floating point data types explainer webmachinelearning/webnn#938 (2 comments by @anssiko, @mklimenko-nv)
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TR publications
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1 document published.
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Web Neural Network API published as a Candidate Recommendation Draft. History of Web Neural Network API
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Past meetings
Participants
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5 participants joined.
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Rezvan Mahdavi Hezaveh (Google LLC) joined.
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Thomas Steiner (Google LLC) joined.
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Mikhail Klimenko (NVIDIA) joined.
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Jay Mok (PayPal) joined.
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Stephan Morris (See Me Please) joined.
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1 organization joined.
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See Me Please joined.
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GitHub
webmachinelearning/webnn
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6 issues opened.
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Proposal: STC-1.0 Tensor Container for Zero-Copy WebGPU/Wasm Loading and Cryptographic Provenance webmachinelearning/webnn#952, by @sovereign-ecosystem.
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Discrepancy in actual and expected output for subgraph test : batchNormalization options.axis=0 + gelu webmachinelearning/webnn#950, by @hthadicherla.
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Validate LSTM/GRU full-sequence output regardless of the `returnSequence` flag webmachinelearning/webnn#949, by @shiyi9801.
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Accumulation precision is unspecified for matmul/gemm and reduction operations webmachinelearning/webnn#948, by @mtavenrath.
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reduceLogSumExp reference decomposition contradicts conformance test; accuracy requirements missing webmachinelearning/webnn#947, by @mtavenrath.
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`gather` should allow 0D output webmachinelearning/webnn#946, by @Honry.
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7 issues received 8 new comments.
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Discrepancy in actual and expected output for subgraph test : batchNormalization options.axis=0 + gelu webmachinelearning/webnn#950 (1 comment by @adrastogi)
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reduceLogSumExp reference decomposition contradicts conformance test; accuracy requirements missing webmachinelearning/webnn#947 (1 comment by @fdwr)
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Accumulation precision is unspecified for matmul/gemm and reduction operations webmachinelearning/webnn#948 (1 comment by @fdwr)
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Validate LSTM/GRU full-sequence output regardless of the `returnSequence` flag webmachinelearning/webnn#949 (1 comment by @shiyi9801)
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Make zeroPoint optional for quantizeLinear and dequantizeLinear operations webmachinelearning/webnn#943 (1 comment by @fdwr)
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1 pull request opened.
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Add dynamic shape explainer webmachinelearning/webnn#945, by @miaobin.
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1 pull request merged.
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Add roundEven(), isNaN(), isInfinite() to Operators webmachinelearning/webnn#936.
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5 pull requests received 64 new comments.
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Add dynamic shape explainer webmachinelearning/webnn#945 (37 comments by @anssiko, @fdwr, @huningxin, @miaobin, @w3cbot)
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Add low-precision floating point data types explainer webmachinelearning/webnn#938 (17 comments by @anssiko, @fdwr, @huningxin, @mklimenko-nv)
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Add initial WebNN-WebGPU Interop specification webmachinelearning/webnn#942 (5 comments by @huningxin, @mwyrzykowski)
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Add roundEven(), isNaN(), isInfinite() to Operators webmachinelearning/webnn#936 (3 comments by @huningxin, @shubhamg13)
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fix reduceLogSumExp, softplus, and tanh decompositions to not overflow so easily webmachinelearning/webnn#916 (2 comments by @fdwr, @vmukhachev)
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