dmlc--dgl
Konstantinos Vandikas
eca9b8ef08
* allow for configuring default_dir * allow for using DGLDEFAULTDIR environment variable * Update env_var.rst Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com> Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
43 行
1.4 KiB
ReStructuredText
43 行
1.4 KiB
ReStructuredText
Environment Variables
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=====================
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Global Configurations
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---------------------
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* ``DGLDEFAULTDIR``:
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* Values: String (default=``"${HOME}/.dgl"``)
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* The directory to save the DGL configuration files.
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Backend Options
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---------------
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* ``DGLBACKEND``:
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* Values: String (default='pytorch')
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* The backend deep learning framework for DGL.
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* Choices:
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* 'pytorch': use PyTorch as the backend implementation.
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* 'tensorflow': use Apache TensorFlow as the backend implementation.
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* 'mxnet': use Apache MXNet as the backend implementation.
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Data Repository
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---------------
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* ``DGL_REPO``:
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* Values: String (default='https://data.dgl.ai/')
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* The repository url to be used for DGL datasets and pre-trained models.
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* Suggested values:
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* 'https://data.dgl.ai/': DGL repo for Global Region.
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* 'https://dgl-data.s3.cn-north-1.amazonaws.com.cn/': DGL repo for Mainland China
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* ``DGL_DOWNLOAD_DIR``:
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* Values: String (default=``"${HOME}/.dgl"``)
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* The local directory to cache the downloaded data.
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Intel CPU Performance Options
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---------------
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* ``DGL_CPU_INTEL_KERNEL_ENABLED``:
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* Values: int (default='0')
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* Use dynamic cpu kernels.
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* Suggested values: 1
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* ``DGL_CPU_INTEL_KERNEL_LOG``:
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* Values: int (default='0')
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* Show diagnostic message (debug mode).
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* Suggested values: 1
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