Hey Everyone,
I am following the instructions for Lab 1, and haven’t made any changes to the code that is provided but getting an error saying that “No module named ‘torch._C’”. The error is occurring in Section 2 (Summarize Dialogue without Prompt Engineering) when I am trying to run the following code:
model_name='google/flan-t5-base'
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
Does anyone know what it could be/ how to resolve it?
Attached is error log:
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
/opt/conda/lib/python3.7/site-packages/transformers/utils/import_utils.py in _get_module(self, module_name)
1125 try:
-> 1126 return importlib.import_module("." + module_name, self.__name__)
1127 except Exception as e:
/opt/conda/lib/python3.7/importlib/__init__.py in import_module(name, package)
126 level += 1
--> 127 return _bootstrap._gcd_import(name[level:], package, level)
128
/opt/conda/lib/python3.7/importlib/_bootstrap.py in _gcd_import(name, package, level)
/opt/conda/lib/python3.7/importlib/_bootstrap.py in _find_and_load(name, import_)
/opt/conda/lib/python3.7/importlib/_bootstrap.py in _find_and_load_unlocked(name, import_)
/opt/conda/lib/python3.7/importlib/_bootstrap.py in _load_unlocked(spec)
/opt/conda/lib/python3.7/importlib/_bootstrap_external.py in exec_module(self, module)
/opt/conda/lib/python3.7/importlib/_bootstrap.py in _call_with_frames_removed(f, *args, **kwds)
/opt/conda/lib/python3.7/site-packages/transformers/models/t5/modeling_t5.py in <module>
24 import torch
---> 25 from torch import nn
26 from torch.nn import CrossEntropyLoss
/opt/conda/lib/python3.7/site-packages/torch/nn/__init__.py in <module>
----> 1 from .modules import * # noqa: F403
2 from .parameter import (
3 Parameter as Parameter,
/opt/conda/lib/python3.7/site-packages/torch/nn/modules/__init__.py in <module>
----> 1 from .module import Module
2 from .linear import Identity, Linear, Bilinear, LazyLinear
3 from .conv import Conv1d, Conv2d, Conv3d, \
/opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py in <module>
7 import torch
----> 8 from ..parameter import Parameter
9 import torch.utils.hooks as hooks
/opt/conda/lib/python3.7/site-packages/torch/nn/parameter.py in <module>
1 import torch
----> 2 from torch._C import _disabled_torch_function_impl
3 from collections import OrderedDict
ModuleNotFoundError: No module named 'torch._C'
The above exception was the direct cause of the following exception:
RuntimeError Traceback (most recent call last)
<ipython-input-6-7ddda4075fb6> in <module>
1 model_name='google/flan-t5-base'
2
----> 3 model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
/opt/conda/lib/python3.7/site-packages/transformers/models/auto/auto_factory.py in from_pretrained(cls, pretrained_model_name_or_path, *model_args, **kwargs)
468 )
469 elif type(config) in cls._model_mapping.keys():
--> 470 model_class = _get_model_class(config, cls._model_mapping)
471 return model_class.from_pretrained(
472 pretrained_model_name_or_path, *model_args, config=config, **hub_kwargs, **kwargs
/opt/conda/lib/python3.7/site-packages/transformers/models/auto/auto_factory.py in _get_model_class(config, model_mapping)
358
359 def _get_model_class(config, model_mapping):
--> 360 supported_models = model_mapping[type(config)]
361 if not isinstance(supported_models, (list, tuple)):
362 return supported_models
/opt/conda/lib/python3.7/site-packages/transformers/models/auto/auto_factory.py in __getitem__(self, key)
600 if model_type in self._model_mapping:
601 model_name = self._model_mapping[model_type]
--> 602 return self._load_attr_from_module(model_type, model_name)
603
604 # Maybe there was several model types associated with this config.
/opt/conda/lib/python3.7/site-packages/transformers/models/auto/auto_factory.py in _load_attr_from_module(self, model_type, attr)
614 if module_name not in self._modules:
615 self._modules[module_name] = importlib.import_module(f".{module_name}", "transformers.models")
--> 616 return getattribute_from_module(self._modules[module_name], attr)
617
618 def keys(self):
/opt/conda/lib/python3.7/site-packages/transformers/models/auto/auto_factory.py in getattribute_from_module(module, attr)
559 if isinstance(attr, tuple):
560 return tuple(getattribute_from_module(module, a) for a in attr)
--> 561 if hasattr(module, attr):
562 return getattr(module, attr)
563 # Some of the mappings have entries model_type -> object of another model type. In that case we try to grab the
/opt/conda/lib/python3.7/site-packages/transformers/utils/import_utils.py in __getattr__(self, name)
1114 value = self._get_module(name)
1115 elif name in self._class_to_module.keys():
-> 1116 module = self._get_module(self._class_to_module[name])
1117 value = getattr(module, name)
1118 else:
/opt/conda/lib/python3.7/site-packages/transformers/utils/import_utils.py in _get_module(self, module_name)
1129 f"Failed to import {self.__name__}.{module_name} because of the following error (look up to see its"
1130 f" traceback):\n{e}"
-> 1131 ) from e
1132
1133 def __reduce__(self):
RuntimeError: Failed to import transformers.models.t5.modeling_t5 because of the following error (look up to see its traceback):
No module named 'torch._C'
