Navigate to $SNPE_ROOT and run the following script to set up the SDK’s environment for Caffe2: source bin/envsetup.sh -f $CAFFE2_DIRwhere $CAFFE2_DIR is the path to the Caffe2 installation. It is ok to use a different version of Caffe, including a version built from source, so this warning can be ignored. The SHA that the script checks for is the SHA that the SDK has been tested with. The script may show warnings about a mismatched Caffe SHA. Navigate to $SNPE_ROOT and run the following script to set up the SDK’s environment for Caffe: source bin/envsetup.sh -c $CAFFE_DIRwhere $CAFFE_DIR is the path to the Caffe installation. Set up your SDK’s environment based on your chosen ML framework:.Note: set ANDROID_NDK_ROOT to the location of your Android Studio installation. Initialize the Qualcomm Neural Processing SDK environment: cd ~/snpe-sdk/Įxport ANDROID_NDK_ROOT=~/Android/Sdk/ndk-bundle.Verify that the Python dependencies are installed: source ~/snpe-sdk/bin/check_python_depends.sh.
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Verify that all dependencies are installed: ~/snpe-sdk/bin/dependencies.sh.
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#OLD ANDROID SDK DOWNLOAD INSTALL#
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zip file to an appropriate location (e.g., ~/snpe-sdk). Download the latest version of the SDK.Follow the steps below to set up the SDK on Ubuntu 18.04: This step allows the SDK to work with the Caffe, TensorFlow, ONNX, and TensorFlow Lite frameworks via Python APIs.