[WebNN] Better int64 integration #23831
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This PR adds some workarounds to enable int64 support for some WebNN backends which don't support int64 data type. - Do not fallback ops that are specifically due to the int64 limitation. - Convert all int64 initializer and input values to int32 and handle potential overflow errors. - Register all int64 model intputs and outputs as int32 ml-tensor. - Handle ONNX ops that need intputs or outputs conversion between int64 and int32. e.g. ArgMax, ArgMin, Cast, etc. - Convert int64 output data back to int32. - Disallow int64 outputs as 'ml-tensor' preferredOutputLocation. Fixed microsoft#21401
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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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Azure Pipelines successfully started running 2 pipeline(s). |
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/azp run Windows GPU CUDA CI Pipeline,Windows GPU DML CI Pipeline,Windows GPU Doc Gen CI Pipeline, Win_TRT_Minimal_CUDA_Test_CI |
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Azure Pipelines successfully started running 4 pipeline(s). |
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This PR adds some workarounds to enable int64 support for some WebNN backends which don't support int64 data type.
Fixed #21401