What are DGL’s officially supported operators for Graph partitioning and distributed training on Kubernetes? Found the reference of GitHub - Qihoo360/dgl-operator: The DGL Operator makes it easy to run Deep Graph Library (DGL) graph neural network training on Kubernetes in almost all the documentations (updated almost 3 years ago). Is it the only option?
Have you checked the tutorial about set-up for distributed training: dgl/examples/distributed/graphsage at master · dmlc/dgl · GitHub ? We don’t have native support for k8s.
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