[WebNN EP] Update data type constraints for Reduction ops #20912
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guschmue
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Jun 6, 2024
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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 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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gyagp
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Jun 18, 2024
…20912) WebNN Spec adds missing 64-bit integers support for `reduceL1`, `reduceSum`, `reduceSumSquare` and `reduceProduct` ops at this [PR](webmachinelearning/webnn#695), which has already been implemented in Chromium. Update corresponding data type constraints in WebNN EP. Besides, WebNN CPU backend currently doesn't support `uint64` and `uint32` for these ops.
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WebNN Spec adds missing 64-bit integers support for
reduceL1,reduceSum,reduceSumSquareandreduceProductops at this PR, which has already been implemented in Chromium. Update corresponding data type constraints in WebNN EP.Besides, WebNN CPU backend currently doesn't support
uint64anduint32for these ops.