[WIP][RFC] Required changes for integration with TorchTitan #82
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Summary: We are not going to land this PR, this PR may be further divided into several PRs. Test Plan: Reviewers: Subscribers: Tasks: Tags:
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**Summary** This is a WIP TorchFT integration PR. **Current Issues** This doesn't work at this moment as there are hanged groups when a new group joins. **Issue 1:** ~Group 0 and group 1 will hang during the first `should_commit` after group 1 applying the pending state_dict from group 0.~ Fixed with: pytorch/torchft#83 **Issue 2:** ~Group 0 and group 1 will pass the `should_commit` but group 0 needs healing which is wrong and the healing process will cause another hang.~ Fixed with: pytorch/torchft#83 **Issue 3:** The byproduct of issue 1 and issue 2: group 1 will continue to print out ``` [rank0]:devgpu051:76838:80357 [0] misc/socket.cc:50 NCCL WARN socketProgress: Connection closed by remote peer devgpu051.cln3.svc.fbinfra.net<33618> ``` ***How to reproduce?*** Using the following the steps in `Reproduce steps` to run 2 groups. Then kill any of the group after both start training. Remember to apply pytorch/torchft#83. **Issue 4:** When there are 3 groups, everyone requests the state dict every step. ***How to reproduce?*** Using the `Reproduce steps` to run 2 groups, then add another group by modifying the command. **Reproduce steps:** 1. Patch TorchFT with pytorch/torchft#82 2. Execute lighthouse 3. Execute the following command in one terminal: ``` TORCHFT_MANAGER_PORT=29520 REPLICA_GROUP_ID=0 CUDA_VISIBLE_DEVICES=0,1 NGPU=2 ./run_llama_train.sh --training.data_parallel_shard_degree=2 --experimental.enable_torchft --experimental.ft_replica_group_id=0 ``` 4. Wait 10 seconds, execute following command in another terminal: ``` TORCHFT_MANAGER_PORT=29522 REPLICA_GROUP_ID=1 CUDA_VISIBLE_DEVICES=2,3 NGPU=2 ./run_llama_train.sh --training.data_parallel_shard_degree=2 --experimental.enable_torchft --experimental.ft_replica_group_id=1 ``` [ghstack-poisoned]
fegin
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Jan 31, 2025
**Summary** This is a WIP TorchFT integration PR. **Current Issues** This doesn't work at this moment as there are hanged groups when a new group joins. **Issue 1:** ~Group 0 and group 1 will hang during the first `should_commit` after group 1 applying the pending state_dict from group 0.~ Fixed with: pytorch/torchft#83 **Issue 2:** ~Group 0 and group 1 will pass the `should_commit` but group 0 needs healing which is wrong and the healing process will cause another hang.~ Fixed with: pytorch/torchft#83 **Issue 3:** The byproduct of issue 1 and issue 2: group 1 will continue to print out ``` [rank0]:devgpu051:76838:80357 [0] misc/socket.cc:50 NCCL WARN socketProgress: Connection closed by remote peer devgpu051.cln3.svc.fbinfra.net<33618> ``` ***How to reproduce?*** Using the following the steps in `Reproduce steps` to run 2 groups. Then kill any of the group after both start training. Remember to apply pytorch/torchft#83. **Issue 4:** When there are 3 groups, everyone requests the state dict every step. ***How to reproduce?*** Using the `Reproduce steps` to run 2 groups, then add another group by modifying the command. **Reproduce steps:** 1. Patch TorchFT with pytorch/torchft#82 2. Execute lighthouse 3. Execute the following command in one terminal: ``` TORCHFT_MANAGER_PORT=29520 REPLICA_GROUP_ID=0 CUDA_VISIBLE_DEVICES=0,1 NGPU=2 ./run_llama_train.sh --training.data_parallel_shard_degree=2 --experimental.enable_torchft --experimental.ft_replica_group_id=0 ``` 4. Wait 10 seconds, execute following command in another terminal: ``` TORCHFT_MANAGER_PORT=29522 REPLICA_GROUP_ID=1 CUDA_VISIBLE_DEVICES=2,3 NGPU=2 ./run_llama_train.sh --training.data_parallel_shard_degree=2 --experimental.enable_torchft --experimental.ft_replica_group_id=1 ``` [ghstack-poisoned]
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Summary:
We are not going to land this PR, this PR may be further divided into several PRs.