Comments (2)
In my paper, I train the model on 4 P40 or 4 V100 GPUs.
Considering you might not have access to V100 GPU, I also test the code on one 1080ti GPU with the following command.
python -m torch.distributed.launch --nproc_per_node 1 train.py --workdir ~/datasets --cfg_file ./configs/scl_transformer_action_config.yml --logdir ~/tmp/scl_transformer_action_logs
It takes about 10 minutes for one epoch.
CPU info: Intel(R) Core(TM) i7-5930K CPU @ 3.50GHz. 12 Cores.
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Thanks!
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Related Issues (9)
- When loading the first evaluation model, the model architechture is mismatch with the checkpoint HOT 2
- torch.fx
- code confusion and inconsistent reproduction results HOT 3
- Problem downloading from Baidu HOT 1
- CARL embedding for single images
- Question on Performance Reporting
- ImportError: cannot import name 'notf' from 'tensorboard.compat'
- batchsize问题
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