[WebNN] Support SkipSimplifiedLayerNormalization op #23151
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The algorithm of SkipSimplifiedLayerNormalization is quite similar to the SimplifiedLayerNormalization, only different is SkipSimplifiedLayerNormalization provides an additional output used for caculating the sum of the input, skip and bias (if it exits). BTW, fix a bug in SimplifiedLayerNormalization, adding bias if it exits.
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onnxruntime/core/providers/webnn/builders/impl/normalization_op_builder.cc
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@fdwr, thanks for your comments, fixed in new commit, PTAL again. |
| @@ -89,7 +89,7 @@ operators and the supported opset domain/versions in **WebNN EP** by ONNX Runtim | |||
| | ScatterElements | ai.onnx(11-12, 13-15, 16-17, 18+) | scatterElements | ✗ | ✓ | Only supports 'reduction' == 'none' | | |||
| | ScatterND | ai.onnx(11-12, 13-15, 16-17, 18+) | scatterND | ✗ | ✓ | Only supports 'reduction' == 'none' | | |||
| | Shape | ai.onnx(7-12, 13-14, 15-18, 19-20, 21+) | slice | ✓ | ✓ | | | |||
| | SimplifiedLayerNormalization | com.microsoft(1+) | pow, reduceMean, add, sqrt, div, mul | ✓ | ✓ | | | |||
| | SimplifiedLayerNormalization | ai.onnx(1+) | pow, reduceMean, add, sqrt, div, mul | ✓ | ✓ | | | |||
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Is there an active ONNX CR for this? Otherwise SLN is Microsoft-specific (not an ONNX operator). https://github.com/onnx/onnx/blob/main/docs/Operators.md
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/azp run ONNX Runtime Web CI Pipeline,Windows GPU CI Pipeline,Linux Android Emulator QNN CI Pipeline |
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/azp run Linux CPU CI Pipeline,Linux CPU Minimal Build E2E CI Pipeline,Linux GPU CI Pipeline,Linux GPU TensorRT CI Pipeline,Linux OpenVINO CI Pipeline,Linux QNN CI Pipeline,MacOS CI Pipeline,Windows ARM64 QNN CI Pipeline,Windows CPU CI Pipeline |
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/azp run Windows GPU CUDA CI Pipeline,Windows GPU DML CI Pipeline,Windows GPU Doc Gen CI Pipeline |
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/azp run Windows GPU TensorRT CI Pipeline,onnxruntime-binary-size-checks-ci-pipeline,orttraining-linux-ci-pipeline,orttraining-linux-gpu-ci-pipeline,orttraining-ortmodule-distributed,Windows x64 QNN CI Pipeline,Big Models |
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Azure Pipelines successfully started running 2 pipeline(s). |
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Azure Pipelines successfully started running 3 pipeline(s). |
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Azure Pipelines successfully started running 4 pipeline(s). |
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Azure Pipelines successfully started running 9 pipeline(s). |
The algorithm of
SkipSimplifiedLayerNormalizationis quite similar to theSimplifiedLayerNormalization, only different isSkipSimplifiedLayerNormalizationprovides an additional output used for calculating the sum of the input, skip and bias (if it exits).BTW, fix a bug in
SimplifiedLayerNormalization, adding bias if it exits.