died with <Signals.SIGKILL: 9>
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Description
The experiments on TACOS dataset is ok. But on activitynet dataset, there are some errors when preparing data. How can I fix it? Thanks!
2020-08-18 10:03:40,666 tan.trainer INFO: Preparing data, please wait...
Traceback (most recent call last):
File "/usr/lib/python3.6/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.6/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/usr/local/lib/python3.6/dist-packages/torch/distributed/launch.py", line 253, in
main()
File "/usr/local/lib/python3.6/dist-packages/torch/distributed/launch.py", line 249, in main
cmd=cmd)
subprocess.CalledProcessError: Command '['/usr/bin/python', '-u', '/home/.jupyter/ngsv/2dtan/train_net.py', '--local_rank=1', '--config-file', '/home/.jupyter/ngsv/2dtan/configs/2dtan_64x64_pool_k9l4_activitynet.yaml', 'OUTPUT_DIR', '/home/.jupyter/ngsv/2dtan/outputs/2dtan_64x64_pool_k9l4_activitynet']' died with .
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Research direction
Start with train_net.py and configs/2dtan_64x64_pool_k9l4_activitynet.yaml, then reproduce the ActivityNet preparation command shown in the traceback through torch.distributed.launch. Compare the successful TACOS run with the failing ActivityNet run and inspect the preparation stage. Done means ActivityNet data preparation and the training launch complete without SIGKILL.
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Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100