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### Description Preview: https://adrianlizarraga.github.io/onnxruntime/docs/execution-providers/QNN-ExecutionProvider.html#running-a-model-with-qnn-eps-htp-backend-python - Adds QNN EP documentation: - Create a quantized QDQ model using python quantization utilities - Run quantized QDQ model on Windows ARM64 using python ORT APIs. - Updates QNN EP provider options - Adds list of supported ONNX operators - Provides instructions for using the new arm64 python wheel ### Motivation and Context The aim is to make it easier for users to try QNN EP. |
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| .. | ||
| community-maintained | ||
| add-execution-provider.md | ||
| Azure-ExecutionProvider.md | ||
| CoreML-ExecutionProvider.md | ||
| CUDA-ExecutionProvider.md | ||
| DirectML-ExecutionProvider.md | ||
| index.md | ||
| MIGraphX-ExecutionProvider.md | ||
| NNAPI-ExecutionProvider.md | ||
| oneDNN-ExecutionProvider.md | ||
| OpenVINO-ExecutionProvider.md | ||
| QNN-ExecutionProvider.md | ||
| ROCm-ExecutionProvider.md | ||
| TensorRT-ExecutionProvider.md | ||
| Vitis-AI-ExecutionProvider.md | ||
| Xnnpack-ExecutionProvider.md | ||