Added QNN EP for ARM64 builds. #41
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Not ready for review since the exported projects are not great yet... I'm not sure what to do there... |
nmetulev
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Nov 27, 2024
AIDevGallery/Samples/ModelsDefinitions/embeddings.modelgroup.json
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@azchohfi, I made few changes to address my initial comments, please take a look. In addition, the exported projects still need work to include ORT.QNN instead of ORT.DML. Also, the execution provider in the exported project defaults to CPU even if NPU is selected in the app. Once this is added, I would be good to merge this in |
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Not sure why the build is not showing up as executed here. It is passing. |
zateutsch
approved these changes
Dec 13, 2024
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| else if (hardwareAccelerator == HardwareAccelerator.QNN) | ||
| { | ||
| Dictionary<string, string> options = new() | ||
| { | ||
| { "backend_path", "QnnHtp.dll" }, | ||
| { "htp_performance_mode", "high_performance" }, | ||
| { "htp_graph_finalization_optimization_mode", "3" } | ||
| }; | ||
| _sessionOptions.AppendExecutionProvider("QNN", options); | ||
| _chunkSize = 8; | ||
| } |
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Should be removed if we're not doing NPU for all-Mini
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