NVIDIA-Merlin / NVIDIA-Merlin/Transformers4Rec
RuntimeError: CUDF failure at: /__w/cudf/cudf/cpp/src/io/parquet/reader_impl_helpers.cpp:379: Invalid rowgroup index[BUG]
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Description
Tried to run the tutorial of transformers4rec and i got this error
RuntimeError Traceback (most recent call last)
in
/usr/local/lib/python3.10/dist-packages/transformers/trainer.py in evaluate(self, eval_dataset, ignore_keys, metric_key_prefix)
3005 self._memory_tracker.start()
3006
-> 3007 eval_dataloader = self.get_eval_dataloader(eval_dataset)
3008 start_time = time.time()
3009
16 frames
/usr/local/lib/python3.10/dist-packages/cudf/io/parquet.py in _read_parquet(filepaths_or_buffers, engine, columns, row_groups, use_pandas_metadata, *args, **kwargs)
819 f"following positional arguments: {list(args)}"
820 )
--> 821 return libparquet.read_parquet(
822 filepaths_or_buffers,
823 columns=columns,
parquet.pyx in cudf._lib.parquet.read_parquet()
parquet.pyx in cudf._lib.parquet.read_parquet()
RuntimeError: CUDF failure at: /__w/cudf/cudf/cpp/src/io/parquet/reader_impl_helpers.cpp:379: Invalid rowgroup index
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Research direction
Start by reproducing the Transformers4Rec tutorial and follow the traceback through transformers/trainer.py and cudf/io/parquet.py, focusing on the evaluation dataloader and parquet row-group handling. Done means the tutorial's evaluation step completes without the CUDF invalid-rowgroup error, with the failing dataset or compatibility cause identified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100