Question

C:\Users\Jinu Augustine\Documents\Solidaridad FAQ Bot>docker run 4145b1589e68
2020-08-21 15:46:25 INFO     rasa_sdk.endpoint  - Starting action endpoint server...
2020-08-21 15:46:25 INFO     transformers.file_utils  - PyTorch version 1.6.0 available.
2020-08-21 15:46:26 INFO     root  - Load pretrained SentenceTransformer: bert-base-nli-mean-tokens
2020-08-21 15:46:26 INFO     root  - Did not find a '/' or '\' in the name. Assume to download model from server.
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/local/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "/app/rasa_sdk/__main__.py", line 34, in <module>
    main()
  File "/app/rasa_sdk/__main__.py", line 30, in main
    main_from_args(cmdline_args)
  File "/app/rasa_sdk/__main__.py", line 21, in main_from_args
    args.auto_reload,
  File "/app/rasa_sdk/endpoint.py", line 137, in run
    action_package_name, cors_origins=cors_origins, auto_reload=auto_reload
  File "/app/rasa_sdk/endpoint.py", line 80, in create_app
    executor.register_package(action_package_name)
  File "/app/rasa_sdk/executor.py", line 249, in register_package
    self._import_submodules(package)
  File "/app/rasa_sdk/executor.py", line 205, in _import_submodules
    package = self._import_module(package)
  File "/app/rasa_sdk/executor.py", line 226, in _import_module
    module = importlib.import_module(name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
  File "<frozen importlib._bootstrap>", line 983, in _find_and_load
  File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 677, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 728, in exec_module
  File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
  File "/app/actions.py", line 151, in <module>
    encode_standard_question(sentence_transformer_select,pretrained_model)
  File "/app/actions.py", line 135, in encode_standard_question
    bc = SentenceTransformer(pretrained_model)
  File "/opt/venv/lib/python3.7/site-packages/sentence_transformers/SentenceTransformer.py", line 48, in __init__
    os.makedirs(model_path, exist_ok=True)
  File "/usr/local/lib/python3.7/os.py", line 213, in makedirs
    makedirs(head, exist_ok=exist_ok)
  File "/usr/local/lib/python3.7/os.py", line 213, in makedirs
    makedirs(head, exist_ok=exist_ok)
  File "/usr/local/lib/python3.7/os.py", line 213, in makedirs
    makedirs(head, exist_ok=exist_ok)
  File "/usr/local/lib/python3.7/os.py", line 223, in makedirs
    mkdir(name, mode)
PermissionError: [Errno 13] Permission denied: '/.cache'

我在尝试为rasa chatbot构建docker映像时遇到以下错误。我能够构建docker映像，但是当我尝试运行该映像时，会发生以下错误。我对NLP使用句子转换器，并使用bert-base-nli-mean-tokens作为nli模型。不知道怎么了。

Answer 1

问题在于有一个可写的目录路径来下载预训练模型。

SentenceTransformers Lib 使用 2 种方式读取此缓存目录路径（下载预训练模型的目录）：-

在文件 SentenceTransformer.py#L55 中，它检查环境变量 SENTENCE_TRANSFORMERS_HOME 是否设置正确。所以你可以设置这个环境。 var 到您具有写入权限的目录。
如果环境。变种SENTENCE_TRANSFORMERS_HOME 未设置，它使用 pytorch 获取其缓存目录。 Pytorch 默认将 <HOME>./cache（请参阅 here）作为缓存目录，但您可以通过设置环境变量 TORCH_HOME 来覆盖此选择。

现在，在您的情况下，它正在写入 /.cache 目录，这可能是因为用户为 docker 设置了/未设置。当你ssh到docker容器时，如果没有/home/username目录，pytorch默认给出/.cache目录（See here）。您可以使用以上 2 种方式来覆盖此路径。

例如，您可以将 env 值传递为：SENTENCE_TRANSFORMERS_HOME=./.config python train.py

PermissionError：[Errno 13]权限被拒绝：'/.cache'-构建docker映像时发生错误

1 个答案: