Environment Variables ===================== Global Configurations --------------------- * ``DGLDEFAULTDIR``: * Values: String (default=``"${HOME}/.dgl"``) * The directory to save the DGL configuration files. * ``DGL_LOG_DEBUG``: * Values: Set to ``"1"`` to enable debug level logging for DGL * Enable debug level logging for DGL Backend Options --------------- * ``DGLBACKEND``: * Values: String (default='pytorch') * The backend deep learning framework for DGL. * Choices: * 'pytorch': use PyTorch as the backend implementation. * 'tensorflow': use Apache TensorFlow as the backend implementation. * 'mxnet': use Apache MXNet as the backend implementation. Data Repository --------------- * ``DGL_REPO``: * Values: String (default='https://data.dgl.ai/') * The repository url to be used for DGL datasets and pre-trained models. * Suggested values: * 'https://data.dgl.ai/': DGL repo for Global Region. * 'https://dgl-data.s3.cn-north-1.amazonaws.com.cn/': DGL repo for Mainland China * ``DGL_DOWNLOAD_DIR``: * Values: String (default=``"${HOME}/.dgl"``) * The local directory to cache the downloaded data.