Reproducible ExecuTorch and Qualcomm QNN model export failure targeting the QCM6490/QCS6490 Hexagon HTP/NPU (e.g., Radxa Dragon board).
-
Updated
Jun 30, 2026
Reproducible ExecuTorch and Qualcomm QNN model export failure targeting the QCM6490/QCS6490 Hexagon HTP/NPU (e.g., Radxa Dragon board).
Reusable CV model edge deployment toolchain: PyTorch/TensorFlow → ONNX → RKNN/QNN, one-click quantization for Rockchip & Qualcomm NPU
Add a description, image, and links to the qnn-sdk topic page so that developers can more easily learn about it.
To associate your repository with the qnn-sdk topic, visit your repo's landing page and select "manage topics."