Datasets:

---

zhuqiang

/

metapu

like 0

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 289, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 81, in _split_generators
                  first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 55, in _get_pipeline_from_tar
                  current_example[field_name] = cls.DECODERS[data_extension](current_example[field_name])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 318, in torch_loads
                  return torch.load(io.BytesIO(data), weights_only=True)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/torch/serialization.py", line 1516, in load
                  return _load(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/torch/serialization.py", line 2114, in _load
                  result = unpickler.load()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/torch/_weights_only_unpickler.py", line 532, in load
                  self.append(self.persistent_load(pid))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/torch/serialization.py", line 2078, in persistent_load
                  typed_storage = load_tensor(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/torch/serialization.py", line 2044, in load_tensor
                  wrap_storage = restore_location(storage, location)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/torch/serialization.py", line 698, in default_restore_location
                  result = fn(storage, location)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/torch/serialization.py", line 636, in _deserialize
                  device = _validate_device(location, backend_name)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/torch/serialization.py", line 605, in _validate_device
                  raise RuntimeError(
              RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 343, in get_dataset_split_names
                  info = get_dataset_config_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 294, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.