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.

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