[webgpu] Optimize Expand - #23052
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Use components = 4 if possible.
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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 |
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Azure Pipelines successfully started running 4 pipeline(s). |
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Azure Pipelines successfully started running 3 pipeline(s). |
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Azure Pipelines successfully started running 9 pipeline(s). |
guschmue
approved these changes
Dec 10, 2024
ankitm3k
pushed a commit
to intel/onnxruntime
that referenced
this pull request
Dec 11, 2024
### Description <!-- Describe your changes. --> Use components = 4 if possible. This is the webgpu native implementation from microsoft#22752
ankitm3k
pushed a commit
to intel/onnxruntime
that referenced
this pull request
Dec 11, 2024
### Description <!-- Describe your changes. --> Use components = 4 if possible. This is the webgpu native implementation from microsoft#22752
ankitm3k
pushed a commit
to intel/onnxruntime
that referenced
this pull request
Dec 11, 2024
### Description <!-- Describe your changes. --> Use components = 4 if possible. This is the webgpu native implementation from microsoft#22752
tarekziade
pushed a commit
to tarekziade/onnxruntime
that referenced
this pull request
Jan 10, 2025
### Description <!-- Describe your changes. --> Use components = 4 if possible. This is the webgpu native implementation from microsoft#22752
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Description
Use components = 4 if possible.
This is the webgpu native implementation from #22752