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Describe the bug
I see "RuntimeError: Address already in use" error message if I try to run two multi-gpu training session (using ddp) at the same time.
To Reproduce
Run two multi-gpu training session at the same time.
Expected behavior
Able to run two multi-gpu training session at the same time.
Screenshots
Desktop (please complete the following information):
OS: Ubuntu 18.04
Pytorch 1.3.0
CUDA 10.1
The text was updated successfully, but these errors were encountered:
you have to set master_port yourself if running 2 ddp sessions on the same machien at the same time. This is a PyTorch limitation. in all the other ddp settings you wouldn’t have to worry about this.
Describe the bug
I see "RuntimeError: Address already in use" error message if I try to run two multi-gpu training session (using ddp) at the same time.
To Reproduce
Run two multi-gpu training session at the same time.
Expected behavior
Able to run two multi-gpu training session at the same time.
Screenshots

Desktop (please complete the following information):
The text was updated successfully, but these errors were encountered: