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[WebNN] Improve data type check of slice op #22988
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@Honry PTAL, thanks! |
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Thanks @shiyi9801, data type check is not rigorous in WebNN EP, especially for those ONNX ops that need to be supported by decomposed WebNN ops. This is a good starting.👍
Co-authored-by: Wanming Lin <[email protected]>
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👍
Hi @fdwr PTAL, thanks! |
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👍
/azp run ONNX Runtime Web CI Pipeline,Windows GPU CI Pipeline,Linux Android Emulator QNN CI Pipeline |
/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 |
/azp run Windows GPU CUDA CI Pipeline,Windows GPU DML CI Pipeline,Windows GPU Doc Gen CI Pipeline |
/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 |
Azure Pipelines successfully started running 2 pipeline(s). |
Azure Pipelines successfully started running 3 pipeline(s). |
Azure Pipelines successfully started running 4 pipeline(s). |
Azure Pipelines successfully started running 9 pipeline(s). |
/azp run Python format, orttraining-linux-ci-pipeline |
Azure Pipelines could not run because the pipeline triggers exclude this branch/path. |
The
...but I can't tell what's wrong o_o. https://github.com/microsoft/onnxruntime/actions/runs/12151097208/job/34052156380?pr=22988 All other tests passed. |
There is a trailing whitespace
so the linter clang-format complained🥲 Fixed it, please help approve again, thanks! @fdwr |
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👍
/azp run ONNX Runtime Web CI Pipeline,Windows GPU CI Pipeline,Linux Android Emulator QNN CI Pipeline |
/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 |
/azp run Windows GPU CUDA CI Pipeline,Windows GPU DML CI Pipeline,Windows GPU Doc Gen CI Pipeline |
/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 |
Azure Pipelines successfully started running 2 pipeline(s). |
Azure Pipelines successfully started running 3 pipeline(s). |
Azure Pipelines successfully started running 4 pipeline(s). |
Azure Pipelines successfully started running 9 pipeline(s). |
A follow-up of [[WebNN] Support negative steps for slice](microsoft#22871 (comment)). Slice op is emulated by reverse+slice when steps < 0 so `SliceOpBuilder::HasSupportedInputsImpl()` should also check the supported data types of reverse. --------- Co-authored-by: Wanming Lin <[email protected]>
A follow-up of [[WebNN] Support negative steps for slice](microsoft#22871 (comment)). Slice op is emulated by reverse+slice when steps < 0 so `SliceOpBuilder::HasSupportedInputsImpl()` should also check the supported data types of reverse. --------- Co-authored-by: Wanming Lin <[email protected]>
A follow-up of [[WebNN] Support negative steps for slice](microsoft#22871 (comment)). Slice op is emulated by reverse+slice when steps < 0 so `SliceOpBuilder::HasSupportedInputsImpl()` should also check the supported data types of reverse. --------- Co-authored-by: Wanming Lin <[email protected]>
A follow-up of [WebNN] Support negative steps for slice. Slice op is emulated by reverse+slice when steps < 0 so
SliceOpBuilder::HasSupportedInputsImpl()
should also check the supported data types of reverse.