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[s2s] 1 GPU test for run_distributed_eval

See original GitHub issue

Add test coverage for run_distributed_eval.py that can run on 1 GPU. The command:

python -m torch.distributed.launch --nproc_per_node=1 run_distributed_eval.py --model_name Helsinki-NLP/opus-mt-en-ro --save_dir opus_wmt_en_ro_gens --data_dir wmt_en_ro

works on 1 GPU.

After adding test coverage, we could try to improve API consistency between run_distributed_eval.py and run_eval.py .

Issue Analytics

State:
Created 3 years ago
Comments:5 (5 by maintainers)

Top GitHub Comments

1reaction

stas00commented, Nov 4, 2020

Bottom line - run with as many GPUs as available.

Thank you for clarifying.

0reactions

sshleifercommented, Nov 4, 2020

I thought 1 GPU test coverage would be runnable in current CI/by more users. But if much easier to test 2 gpu/easy to add test for 2 GPU that is great!

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