Why does wandb not always save my errors to the logs? (the ones usually printed to stdout, stderr)

W&B Help
1

Sometimes I have errors and they are not logged to the logs area in wandb. Why? How do I debug it. Current bug output:

Traceback (most recent call last):aded
  File "/lfs/ampere9/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py", line 286, in hf_raise_for_status
    response.raise_for_status()
  File "/lfs/ampere9/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/site-packages/requests/models.py", line 1021, in raise_for_status
    raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 500 Server Error: Internal Server Error for url: https://huggingface.co/datasets/allenai/c4/resolve/1ddc917116b730e1859edef32896ec5c16be51d0/en/c4-validation.00005-of-00008.json.gz

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/lfs/ampere9/0/brando9/beyond-scale-language-data-diversity/src/training/train.py", line 336, in <module>
    main()
  File "/lfs/ampere9/0/brando9/beyond-scale-language-data-diversity/src/training/train.py", line 326, in main
    train()
  File "/lfs/ampere9/0/brando9/beyond-scale-language-data-diversity/src/training/train.py", line 314, in train
    metrics = eval_hf_with_subsample('c4', 'en', 'validation', model, tokenizer, block_size, output_dir, max_eval_samples=None)
  File "/afs/cs.stanford.edu/u/brando9/beyond-scale-language-data-diversity/src/training/utils.py", line 393, in eval_hf_with_subsample
    metrics = eval_hf(trainer, path, name, split,)
  File "/afs/cs.stanford.edu/u/brando9/beyond-scale-language-data-diversity/src/training/utils.py", line 366, in eval_hf
    metrics = trainer.evaluate()
  File "/lfs/ampere9/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/site-packages/transformers/trainer.py", line 3095, in evaluate
    output = eval_loop(
  File "/lfs/ampere9/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/site-packages/transformers/trainer.py", line 3274, in evaluation_loop
    for step, inputs in enumerate(dataloader):
  File "/lfs/ampere9/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/site-packages/accelerate/data_loader.py", line 687, in __iter__
    next_batch, next_batch_info = self._fetch_batches(main_iterator)
  File "/lfs/ampere9/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/site-packages/accelerate/data_loader.py", line 608, in _fetch_batches
    batches.append(next(iterator))
  File "/lfs/ampere9/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 630, in __next__
    data = self._next_data()
  File "/lfs/ampere9/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 674, in _next_data
    data = self._dataset_fetcher.fetch(index)  # may raise StopIteration
  File "/lfs/ampere9/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/site-packages/torch/utils/data/_utils/fetch.py", line 32, in fetch
    data.append(next(self.dataset_iter))
  File "/lfs/ampere9/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/site-packages/datasets/iterable_dataset.py", line 1384, in __iter__
    for key, example in ex_iterable:
  File "/lfs/ampere9/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/site-packages/datasets/iterable_dataset.py", line 679, in __iter__
    yield from self._iter()
  File "/lfs/ampere9/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/site-packages/datasets/iterable_dataset.py", line 694, in _iter
    for key, example in iterator:
  File "/lfs/ampere9/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/site-packages/datasets/iterable_dataset.py", line 679, in __iter__
    yield from self._iter()
  File "/lfs/ampere9/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/site-packages/datasets/iterable_dataset.py", line 701, in _iter
    key_examples_list = [(key, example)] + list(iterator_batch)
  File "/lfs/ampere9/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/site-packages/datasets/iterable_dataset.py", line 1115, in __iter__
    for key, example in self.ex_iterable:
  File "/lfs/ampere9/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/site-packages/datasets/iterable_dataset.py", line 234, in __iter__
    yield from self.generate_examples_fn(**self.kwargs)
  File "/lfs/ampere9/0/brando9/.cache/huggingface/modules/datasets_modules/datasets/c4/df532b158939272d032cc63ef19cd5b83e9b4d00c922b833e4cb18b2e9869b01/c4.py", line 89, in _generate_examples
    for line in f:
  File "/lfs/ampere9/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/gzip.py", line 314, in read1
    return self._buffer.read1(size)
  File "/lfs/ampere9/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/_compression.py", line 68, in readinto
    data = self.read(len(byte_view))
  File "/lfs/ampere9/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/gzip.py", line 494, in read
    buf = self._fp.read(io.DEFAULT_BUFFER_SIZE)
  File "/lfs/ampere9/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/gzip.py", line 97, in read
    self.file.read(size-self._length+read)
  File "/lfs/ampere9/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/site-packages/datasets/download/streaming_download_manager.py", line 341, in read_with_retries
    out = read(*args, **kwargs)
  File "/lfs/ampere9/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/site-packages/fsspec/spec.py", line 1856, in read
    out = self.cache._fetch(self.loc, self.loc + length)
  File "/lfs/ampere9/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/site-packages/fsspec/caching.py", line 189, in _fetch
    self.cache = self.fetcher(start, end)  # new block replaces old
  File "/lfs/ampere9/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/site-packages/huggingface_hub/hf_file_system.py", line 626, in _fetch_range
    hf_raise_for_status(r)
  File "/lfs/ampere9/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py", line 333, in hf_raise_for_status
    raise HfHubHTTPError(str(e), response=response) from e
huggingface_hub.utils._errors.HfHubHTTPError: 500 Server Error: Internal Server Error for url: https://huggingface.co/datasets/allenai/c4/resolve/1ddc917116b730e1859edef32896ec5c16be51d0/en/c4-validation.00005-of-00008.json.gz (Request ID: Root=1-65c03190-35f1fa9d7f5d30b40b16db01;957ab364-e4b5-4e1c-8be5-01c349ffce28)

Internal Error - We're working hard to fix this as soon as possible!

thanks in advance!

2

Hi @brando , thanks for reporting. This is a known issue where the output.log that wandb saves does not match the stdout / stderr output. Our sdk team is planning to address this in the near future. I’ve added this ticket to the queue for reminder to provide an update once the fix is released.

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