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[WebNN] Improve the util function of creating WebNN constant MLOperand #22935

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merged 3 commits into from
Dec 4, 2024

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Honry
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@Honry Honry commented Nov 25, 2024

Merge the util functions to create or retrieve:

  • A WebNN constant MLOperand filled with the specified value, data type, and shape.
  • A WebNN scalar constant MLOperand with the specified value and data type.

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Honry commented Nov 25, 2024

@fdwr, @guschmue, @miaobin, PTAL, thanks!

fdwr
fdwr previously approved these changes Nov 27, 2024
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Two minor comments, else LGTM.

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fdwr commented Nov 27, 2024

/azp run ONNX Runtime Web CI Pipeline,Windows GPU CI Pipeline,Linux Android Emulator QNN CI Pipeline

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fdwr commented Nov 27, 2024

/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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fdwr commented Nov 27, 2024

/azp run Windows GPU CUDA CI Pipeline,Windows GPU DML CI Pipeline,Windows GPU Doc Gen CI Pipeline

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fdwr commented Nov 27, 2024

/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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fdwr
fdwr previously approved these changes Dec 3, 2024
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👍

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fdwr commented Dec 3, 2024

/azp run ONNX Runtime Web CI Pipeline,Windows GPU CI Pipeline,Linux Android Emulator QNN CI Pipeline

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fdwr commented Dec 3, 2024

/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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fdwr commented Dec 3, 2024

/azp run Windows GPU CUDA CI Pipeline,Windows GPU DML CI Pipeline,Windows GPU Doc Gen CI Pipeline

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fdwr commented Dec 3, 2024

/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 9 pipeline(s).

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fdwr commented Dec 4, 2024

/azp run ONNX Runtime Web CI Pipeline,Windows GPU CI Pipeline,Linux Android Emulator QNN CI Pipeline

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fdwr commented Dec 4, 2024

/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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fdwr commented Dec 4, 2024

/azp run Windows GPU CUDA CI Pipeline,Windows GPU DML CI Pipeline,Windows GPU Doc Gen CI Pipeline

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fdwr commented Dec 4, 2024

/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 9 pipeline(s).

@fdwr fdwr merged commit cacd97d into microsoft:main Dec 4, 2024
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ankitm3k pushed a commit to intel/onnxruntime that referenced this pull request Dec 11, 2024
microsoft#22935)

Merge the util functions to create or retrieve:
- A WebNN constant MLOperand filled with the specified value, data type,
and shape.
- A WebNN scalar constant MLOperand with the specified value and data
type.
ankitm3k pushed a commit to intel/onnxruntime that referenced this pull request Dec 11, 2024
microsoft#22935)

Merge the util functions to create or retrieve:
- A WebNN constant MLOperand filled with the specified value, data type,
and shape.
- A WebNN scalar constant MLOperand with the specified value and data
type.
ankitm3k pushed a commit to intel/onnxruntime that referenced this pull request Dec 11, 2024
microsoft#22935)

Merge the util functions to create or retrieve:
- A WebNN constant MLOperand filled with the specified value, data type,
and shape.
- A WebNN scalar constant MLOperand with the specified value and data
type.
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2 participants