FSDP sample fails model validation

[shimomut]

When running FSDP sample app, it fails at the model evaluation with following error message.
As --validation_freq=500 is specified, it fails at 500th batch. By changing this configuration we can see the error sooner.

This error reproduced at least on HyperPod Slurm cluster with p5 x 4.

3: [rank3]: Traceback (most recent call last):
3: [rank3]:   File "/fsx/ubuntu/shimomut/smddp/awsome-distributed-training/3.test_cases/10.FSDP/./train.py", line 284, in <module>
3: [rank3]:     main(args)
3: [rank3]:   File "/fsx/ubuntu/shimomut/smddp/awsome-distributed-training/3.test_cases/10.FSDP/./train.py", line 269, in main
3: [rank3]:     train(model, 
3: [rank3]:     ^^^^^^^^^^^^
3: [rank3]:   File "/fsx/ubuntu/shimomut/smddp/awsome-distributed-training/3.test_cases/10.FSDP/./train.py", line 115, in train
3: [rank3]:     val_loss, val_ppl = eval_model(
3: [rank3]:                         ^^^^^^^^^^^
3: [rank3]:   File "/fsx/ubuntu/shimomut/smddp/awsome-distributed-training/3.test_cases/10.FSDP/./train.py", line 54, in eval_model
3: [rank3]:     for batch_idx, input_data in enumerate(dataloader):
3: [rank3]:                                  ^^^^^^^^^^^^^^^^^^^^^
3: [rank3]:   File "/fsx/ubuntu/shimomut/smddp/awsome-distributed-training/3.test_cases/10.FSDP/pt_fsdp/lib/python3.11/site-packages/torch/utils/data/dataloader.py", line 439, in __iter__
3: [rank3]:     return self._get_iterator()
3: [rank3]:            ^^^^^^^^^^^^^^^^^^^^
3: [rank3]:   File "/fsx/ubuntu/shimomut/smddp/awsome-distributed-training/3.test_cases/10.FSDP/pt_fsdp/lib/python3.11/site-packages/torch/utils/data/dataloader.py", line 387, in _get_iterator
3: [rank3]:     return _MultiProcessingDataLoaderIter(self)
3: [rank3]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
3: [rank3]:   File "/fsx/ubuntu/shimomut/smddp/awsome-distributed-training/3.test_cases/10.FSDP/pt_fsdp/lib/python3.11/site-packages/torch/utils/data/dataloader.py", line 1040, in __init__
3: [rank3]:     w.start()
3: [rank3]:   File "/fsx/ubuntu/shimomut/smddp/awsome-distributed-training/3.test_cases/10.FSDP/pt_fsdp/lib/python3.11/multiprocessing/process.py", line 121, in start
3: [rank3]:     self._popen = self._Popen(self)
3: [rank3]:                   ^^^^^^^^^^^^^^^^^
3: [rank3]:   File "/fsx/ubuntu/shimomut/smddp/awsome-distributed-training/3.test_cases/10.FSDP/pt_fsdp/lib/python3.11/multiprocessing/context.py", line 224, in _Popen
3: [rank3]:     return _default_context.get_context().Process._Popen(process_obj)
3: [rank3]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
3: [rank3]:   File "/fsx/ubuntu/shimomut/smddp/awsome-distributed-training/3.test_cases/10.FSDP/pt_fsdp/lib/python3.11/multiprocessing/context.py", line 281, in _Popen
3: [rank3]:     return Popen(process_obj)
3: [rank3]:            ^^^^^^^^^^^^^^^^^^
3: [rank3]:   File "/fsx/ubuntu/shimomut/smddp/awsome-distributed-training/3.test_cases/10.FSDP/pt_fsdp/lib/python3.11/multiprocessing/popen_fork.py", line 19, in __init__
3: [rank3]:     self._launch(process_obj)
3: [rank3]:   File "/fsx/ubuntu/shimomut/smddp/awsome-distributed-training/3.test_cases/10.FSDP/pt_fsdp/lib/python3.11/multiprocessing/popen_fork.py", line 66, in _launch
3: [rank3]:     self.pid = os.fork()
3: [rank3]:                ^^^^^^^^^
3: [rank3]: OSError: [Errno 12] Cannot allocate memory

[github-actions]

This issue is stale because it has been open for 30 days with no activity.

[shimomut]

Now this issue is happening not at evaluation phase, but at the initialization phase.