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[js/webgpu] Optimize ConvTranspose #22774
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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 |
Azure Pipelines successfully started running 1 pipeline(s). |
/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 could not run because the pipeline triggers exclude this branch/path. |
/azp run Windows GPU CUDA CI Pipeline,Windows GPU DML CI Pipeline,Windows GPU Doc Gen CI Pipeline |
Azure Pipelines successfully started running 1 pipeline(s). |
Azure Pipelines could not run because the pipeline triggers exclude this branch/path. |
BUG microsoft#22031 The overall time of ConvTranspose in Demucs model becomes 517.41 ms from 1415.65 ms on my iGPUs.
BUG #22031 The overall time of ConvTranspose in Demucs model becomes 517.41 ms from 1415.65 ms on my iGPUs.
BUG microsoft#22031 The overall time of ConvTranspose in Demucs model becomes 517.41 ms from 1415.65 ms on my iGPUs.
BUG microsoft#22031 The overall time of ConvTranspose in Demucs model becomes 517.41 ms from 1415.65 ms on my iGPUs.
BUG #22031
The overall time of ConvTranspose in Demucs model becomes 517.41 ms from 1415.65 ms on my iGPUs.