deepspeedai / deepspeedai/DeepSpeedExamples
How can I change the master_port when using deepspeed for multi-GPU on single node, i.e. localhost
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Description
When I use default command, it seems to use 29500 as master_port.
However, the master_port seems unchangable,even when I use "--master_port 29501" or change it using "deepspeed.init_distributed(dist_backend='nccl', distributed_port=config.master_port)"
error message:
[W1120 21:36:50.764587163 TCPStore.cpp:358] [c10d] TCP client failed to connect/validate to host 127.0.0.1:29500 - retrying (try=3, timeout=1800000ms, delay=1496ms): Connection reset by peer
Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:667 (most recent call first):
frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x96 (0x7fc06bba0446 in /data/wujiahao/anaconda3/envs/gpt/lib/python3.10/site-packages/torch/lib/libc10.so)
...
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Research direction
Start by reproducing the single-node multi-GPU launch with the default command, --master_port 29501, and deepspeed.init_distributed(distributed_port=config.master_port). Trace which entry point still connects to TCPStore at 127.0.0.1:29500; done when the configured port is used consistently and the connection succeeds.
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Assessment
- Tech stack
- python, pytorch
- Domain
- distributed-systems
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100