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For the latest RETURNN, when using torch backend and SprintCacheDataset, I get this error.
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/datapipes/datapipe.py", line 179, in IterDataPipe.__reduce_ex__ line: return super().__reduce_ex__(*args, **kwargs) locals: super = <builtin> <class 'super'> __reduce_ex__ = <not found> args = <local> (4,) kwargs = <local> {} File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/datapipes/datapipe.py", line 354, in _DataPipeSerializationWrapper.__getstate__ line: value = pickle.dumps(self._datapipe) locals: value = <not found> pickle = <global> <module 'pickle' from '/usr/lib/python3.10/pickle.py'> pickle.dumps = <global> <built-in function dumps> self = <local> _IterDataPipeSerializationWrapper self._datapipe = <local> BatchingIterDataPipe TypeError: cannot pickle '_io.BufferedReader' object
The full error log and returnn config can be found here: https://gist.github.com/robin-p-schmitt/dca90f178d1bfc086f8faadb35211406
The text was updated successfully, but these errors were encountered:
albertz
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For the latest RETURNN, when using torch backend and SprintCacheDataset, I get this error.
The full error log and returnn config can be found here: https://gist.github.com/robin-p-schmitt/dca90f178d1bfc086f8faadb35211406
The text was updated successfully, but these errors were encountered: