export ANDROID_NDK_ROOT=/home/local/android-ndk-r25c export PATH=${ANDROID_NDK_ROOT}:${PATH} /opt/qcom/aistack/qnn/2.20.0.240223/bin/envcheck -a## raw文件参考 /opt/qcom/aistack/qnn/2.20.0.240223/examples/Models/InceptionV3/github.com/gesanqiu/SNP qnn-net-run --backend ${QNN_SDK_ROO...
由于这里采用DIVOv2模型是导出成ONNX格式了,所以我们只需要ONNX的环境即可,对于其他格式的模型,比如PB、pt、tflite等也是有对于的工具支持,可以按照文档安装所需的版本。 chmod a+x ${QNN_SDK_ROOT}/bin/envcheck ${QNN_SDK_ROOT}/bin/envcheck -a 到目前为止,我们的Linux QNN SDK最基本的配置完成了。 2....
QNN(Qualcomm Neural Network, aka Qualcomm AI Engine Direct) SDK is verified to work with the following versions of the ML frameworks: TensorFlow: tf-1.15.0, or tf-2.10.1 TFLite: tflite-2.3.0 PyTorch: torch-1.13.1 ONNX: onnx-1.11.0 As a very compact/highly well-designed/highly ...
os.environ["QNN_SDK_ROOT"]=str(download_qnn_sdk()/"opt"/"qcom"/"aistack") run_subprocess(cmd="python -m olive.platform_sdk.qualcomm.configure --py_version 3.8 --sdk qnn",check=True) # install dependencies python_cmd="" ifplatform.system()=="Windows": ...
[INFO] QNN_SDK_ROOT: /xxx/xxx/qnn-2.13.2.230822 2.1.2 配置Python环境 新建Conda环境(推荐): conda create -n qnn python==3.8 conda activate qnn 自动安装依赖: ${QNN_SDK_ROOT}/bin/check-python-dependency 如果遇到Permission denied,需要把 ${QNN_SDK_ROOT}/bin路径下的文件赋予可执行权限: ...
1. 设置环境变量ANDROID_NDK_ROOT: $ export ANDROID_NDK_ROOT=<PATH-TO-NDK> export ANDROID_NDK_ROOT=/home/xxx/automotive_qnn_SDK/android-ndk-r19c-linux-x86_64/android-ndk-r19c/ 2. export QNN_SDK_ROOT=/home/xxx/automotive_qnn_SDK/qnn-v1.13.0.220510062245_36458/ ...