Implement distributed training using Kubernetes #77
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Todo: set up eleuther docker hub account and make pipeline for building containers |
amannm
reviewed
Jan 23, 2021
amannm
reviewed
Jan 23, 2021
| image: leogao2/deepspeed_eleuther | ||
| ports: | ||
| - name: sshd | ||
| containerPort: 2222 |
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shouldn't this be 22 as suggested by the EXPOSE at https://github.com/coreweave/cuda-ssh-server/blob/master/Dockerfile#L37 ?
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That's what I had thought as well, but Leo and I tested it and it seems to work with 2222. Not sure why / what difference it makes though.
leogao2
changed the title
StellaAthena
approved these changes
Jan 23, 2021
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Distributed training should work without any problems now.
To use:
./deploy_k8s.sh- this should create all of the containers necessary and drop you in a shell. Optional: change number of nodes in kubernetes/deploy_k8s.yml to however many you wantdeepspeed --hostfile=hosts train_enwik8.py --deepspeed --deepspeed_config configs/deepspeed_zero2.json) in the shell. Make sure to include--hostfile=hosts.