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