Environment Variables¶
Global Configurations¶
DGLDEFAULTDIR
:Values: String (default=``”${HOME}/.dgl”``)
The directory to save the DGL configuration files.
Backend Options¶
DGLBACKEND
:Values: String (default=’pytorch’)
The backend deep learning framework for DGL.
- Choices:
‘pytorch’: use PyTorch as the backend implementation.
‘tensorflow’: use Apache TensorFlow as the backend implementation.
‘mxnet’: use Apache MXNet as the backend implementation.
Data Repository¶
DGL_REPO
:Values: String (default=’https://data.dgl.ai/’)
The repository url to be used for DGL datasets and pre-trained models.
- Suggested values:
‘https://data.dgl.ai/’: DGL repo for Global Region.
‘https://dgl-data.s3.cn-north-1.amazonaws.com.cn/’: DGL repo for Mainland China
DGL_DOWNLOAD_DIR
:Values: String (default=``”${HOME}/.dgl”``)
The local directory to cache the downloaded data.
Intel CPU Performance Options¶
DGL_CPU_INTEL_KERNEL_ENABLED
:Values: int (default=‘0’)
Use dynamic cpu kernels.
Suggested values: 1
DGL_CPU_INTEL_KERNEL_LOG
:Values: int (default=‘0’)
Show diagnostic message (debug mode).
Suggested values: 1