Comments (2)
Hi @gaow0007, AdaptDL uses multiple processes to run distributed training, similar to PyTorch's DistributedDataParallel. Assuming you have two machines, the first command should be run on the first machine (node-0), and the second command should be run on the second machine (node-1).
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Thanks a lot.
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Related Issues (20)
- "CUDA error: invalid resource handle" on Standalone Training HOT 1
- The meaning of progress HOT 5
- Running the AdaptDL training process as something other than Process 1 causes checkpointing to fail.
- Problems encountered during the installation of AdaptDL Helm Chart HOT 2
- [Pollux, Reproducibility, Inquiry] Are dataset-fetching mechanisms broken? HOT 3
- hello_world can not run HOT 7
- Integrating with PyTorch Lightning HOT 1
- Large system overheads of AdaptDL HOT 6
- A few problems when reproducing the benchmark HOT 4
- Progress in validation
- Problem when installing adaptdl scheduler HOT 9
- Strange outputs when running dcgan example
- what does _get_cluster_sizes function mean HOT 1
- Problem when provision EKS cluster
- Keyerror occurs when auto-scaling happens in AdpatDL scheduler
- Version of Pytorch and Cuda
- Cann't access to tensorboard when mnist_tensorboard.py is running
- submit hello_world occurs "ImagePullBackOff " HOT 3
- hello_world submitted by adaptdl cannot go into `Running` state in Docker Desktop for Mac HOT 1
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