Uncaught RuntimeError in import_utils.py line 1865

[sanity]

Aider version: 0.77.0
Python version: 3.10.12
Platform: Linux-6.8.0-55-generic-x86_64-with-glibc2.39
Python implementation: CPython
Virtual environment: No
OS: Linux 6.8.0-55-generic (64bit)
Git version: git version 2.43.0

An uncaught exception occurred:

Traceback (most recent call last):
  File "import_utils.py", line 1863, in _get_module
    return importlib.import_module("." + module_name, self.__name__)
  File "__init__.py", line 126, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1050, in _gcd_import
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 883, in exec_module
  File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
  File "configuration_timm_wrapper.py", line 25, in <module>
    from timm.data import ImageNetInfo, infer_imagenet_subset
  File "__init__.py", line 2, in <module>
    from .layers import is_scriptable, is_exportable, set_scriptable, set_exportable
  File "__init__.py", line 7, in <module>
    from .classifier import ClassifierHead, create_classifier, NormMlpClassifierHead
  File "classifier.py", line 15, in <module>
    from .create_norm import get_norm_layer
  File "create_norm.py", line 14, in <module>
    from torchvision.ops.misc import FrozenBatchNorm2d
ModuleNotFoundError: No module named 'torchvision'

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

Traceback (most recent call last):
  File "aider", line 8, in <module>
    sys.exit(main())
  File "main.py", line 1078, in main
    coder.run()
  File "base_coder.py", line 856, in run
    self.run_one(user_message, preproc)
  File "base_coder.py", line 897, in run_one
    message = self.preproc_user_input(user_message)
  File "base_coder.py", line 886, in preproc_user_input
    return self.commands.run(inp)
  File "commands.py", line 268, in run
    return self.do_run(command, rest_inp)
  File "commands.py", line 240, in do_run
    return cmd_method(args)
  File "commands.py", line 1056, in cmd_help
    self.help = Help()
  File "help.py", line 139, in __init__
    Settings.embed_model = HuggingFaceEmbedding(model_name="BAAI/bge-small-en-v1.5")
  File "base.py", line 155, in __init__
    model = SentenceTransformer(
  File "SentenceTransformer.py", line 308, in __init__
    modules, self.module_kwargs = self._load_sbert_model(
  File "SentenceTransformer.py", line 1739, in _load_sbert_model
    module = module_class(model_name_or_path, cache_dir=cache_folder, backend=self.backend, **kwargs)
  File "Transformer.py", line 81, in __init__
    self._load_model(model_name_or_path, config, cache_dir, backend, is_peft_model, **model_args)
  File "Transformer.py", line 181, in _load_model
    self.auto_model = AutoModel.from_pretrained(
  File "auto_factory.py", line 543, in from_pretrained
    has_local_code = type(config) in cls._model_mapping.keys()
  File "auto_factory.py", line 780, in keys
    mapping_keys = [
  File "auto_factory.py", line 781, in <listcomp>
    self._load_attr_from_module(key, name)
  File "auto_factory.py", line 777, in _load_attr_from_module
    return getattribute_from_module(self._modules[module_name], attr)
  File "auto_factory.py", line 693, in getattribute_from_module
    if hasattr(module, attr):
  File "import_utils.py", line 1851, in __getattr__
    module = self._get_module(self._class_to_module[name])
  File "import_utils.py", line 1865, in _get_module
    raise RuntimeError(
RuntimeError: Failed to import transformers.models.timm_wrapper.configuration_timm_wrapper because of the following error (look up to see its traceback):
No module named 'torchvision'