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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.