Logging on slurm stopped working

[kumuji]

🐛 Bug

Logging and checkpoint saving stopped working for me when I run experiments via slurm system.
I am using log keys in return functions: training_epoch_end/validation_epoch_end.
Version 0.7.6 works.

To Reproduce

Steps to reproduce the behaviour:

1. Define Tensorboard logger
2. Run training using slurm system sbatch ...
3. No logs.

Code sample

Expected behaviour

Environment

• PyTorch 1.4.0:
• PyTorch-lightning 0.8.1,
• Linux,
• Python 3.7.6,
• CUDA/cuDNN 10.1, 7.6.5,

[github-actions]

Hi! thanks for your contribution!, great first issue!

[sebamenabar]

Hi, I think I'm having the same problem, running locally logs work correctly (I'm sending to comet), but when I run on a cluster through slurm using sbatch or srun, the experiments in comet are created, but none of the logging works.

Edit: Downgraded to 0.7.6 and it works.

[ExpectationMax]

I think this might be due to an issue due to how the rank id is set, I'm not totally sure, but it could have occurred here: #2231
I guess it's due to a malfunction with rank_zero_only, sucht that the gated code is never executed.
See also comment in #2278 (comment)

[kumuji]

If you want a quick fix, just remove this line. (Dirty solution)

[williamFalcon]

Fixed by #2339

Please run from master or 0.8.2 on June 25