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#Android ndk versions apk
#Android ndk versions install
#Android ndk versions update
#Android ndk versions android
#Android ndk versions zip

Go to $SNPE_ROOT and run the following script to setup the SNPE SDK environment. Using the SNPE SDK with TFLite models requires a valid TFLite installation (see TFLite Setup.) ONNX_HOME: root directory of the TensorFlow installation provided Where $ONNX_DIR is the path to the ONNX installation. The location of the ONNX directory must be provided. Using the SNPE SDK with ONNX models requires a valid ONNX installation (see ONNX Setup.) TENSORFLOW_HOME: root directory of the TensorFlow installation provided SNPE_ROOT: root directory of the SNPE SDK installation The script sets up the following environment variables. Where $TENSORFLOW_DIR is the path to the TensorFlow installation. source bin/envsetup.sh -t $TENSORFLOW_DIR

The location of the TensorFlow directory must be provided. Using the SNPE SDK with TensorFlow models requires a valid TensorFlow installation (see TensorFlow Setup.) Where $CAFFE2_DIR is the path to the Caffe2 installation.ĬAFFE2_HOME: root directory of the Caffe2 installation you provided ($CAFFE2_DIR) The location of the Caffe2 directory must be provided. Using the SNPE SDK with Caffe2 models requires a valid Caffe2 installation. The script also updates PATH, LD_LIBRARY_PATH, and PYTHONPATH. The script sets up the following environment variables: SNPE_ROOT: root directory of the SNPE SDK installationĬAFFE_HOME: root directory of the Caffe installation you provided ($CAFFE_DIR) It is ok to use a different version of Caffe, including a version built from source. The SHA that the script checks for is the SHA that the SDK has been tested with. The script may show warnings about mismatched Caffe SHA. Where $CAFFE_DIR is the path to the Caffe installation. The location of the Caffe directory must be provided. Using the SNPE SDK with Caffe models requires a valid Caffe installation (see Caffe and Caffe2 Setup.) If the ANDROID_NDK_ROOT is not set the environment setup script will attempt to find the NDK path by searching for ndk-build.

#Android ndk versions android

For those platforms (for example which use aarch64-oe-linux-gcc8.2 toolchain), on which this library is not available on the device, it needs to be copied explicitly from SNPE SDK.īuilding the Native C++ Example ( Building Your First SNPE Native App) on Android requires the Android NDK installed with the ANDROID_NDK_ROOT exported as per the command below. On newer target devices, this is available in the platform SW in the library path. Libatomic.so.1 is required for Aarch64 Linux targets.

Aarch64 Linux Runtime Library Requirement.

$SNPE_ROOT refers to the directory path where the SNPE SDK is installed. Python package versions tested with the SNPE SDK are: source snpe-X.Y.Z/bin/check_python_depends.sh Run the python dependency checker to check the system for python package dependencies.

#Android ndk versions install

It will ask to install ones that are missing. Run the dependencies script to check the system for Ubuntu package dependencies.

#Android ndk versions zip

It refers to the release zip that is in use (eg. The directory the SDK is extracted to is referred to as $SNPE_ROOT. Instructions for setting up the SDK environment are as follows.Įxtract the SDK to a directory.

#Android ndk versions apk

(See Platform Runtime Libraries below).Īndroid SDK (SDK version 23 and build tools version 23.0.2) is optional and only required to build the Android APK that ships with the SDK.

SDK Android binaries built with clang require libc++_shared.so which is shipped with the SDK. $ sudo update-alternatives -config pythonĪndroid NDK (android-ndk-r17c-linux-x86) is optional and only required to build the native CPP example that ships with the SDK

#Android ndk versions update

Update alternative to select required python version $ sudo update-alternatives -install /usr/bin/python python /usr/bin/python3.6 2 $ sudo update-alternatives -install /usr/bin/python python /usr/bin/python2.7 1 It can be achieved using following steps :- Create list of alternatives for python "/usr/bin/python" and "python" should point to Python 3. Instructions for TensorFlow: TensorFlow Setup Instructions for Caffe: Caffe and Caffe2 Setup The SDK requires either Caffe, Caffe2, ONNX, PyTorch, TensorFlow or TFLite. If you wish to set up your own WSL2 environment, you can follow the instructions provided by Microsoft at We have also verified the SDK to work seamlessly on the Windows Subsystem for Linux(WSL2) environment version 1.1.3.0. The chapter walks through the setup of tools required for SNPE and the SDK installation.Ĭurrently the SNPE SDK development environment is limited to Ubuntu, specifically version 18.04.