权限错误： [错误 13] 权限被拒绝： '/.cache' - 构建 docker 映像时出错

Question

C:UsersJinu AugustineDocumentsSolidaridad 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聊天机器人构建docker映像时遇到以下错误。我能够构建docker镜像，但当我尝试运行镜像时，会出现以下错误。Im为NLP使用句子转换器，并使用基于bert的nli均值标记作为nli模型。不知道怎么了。

Answer 1

在您的终端中

mkdir ./.cache

添加您的代码

os.environ['SENTENCE_TRANSFORMERS_HOME'] = './.cache'

Answer 2

问题是有一个可写的目录路径来下载预训练的模型。

PenceTransformers Lib使用两种方式读取这个缓存目录路径(预训练模型下载的目录(：-

1. 在文件PenceTransformer.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env。var到您有写访问权限的目录。

2. 如果环境。var.SENTENCE_TRANSFORMERS_HOME未设置，它使用pytorch获取其缓存目录。Pytorch默认情况下将<HOME>./cache(请参见此处(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/notset。当您ssh到docker容器时，如果没有/home/username目录，pytorch默认会提供/.cache目录(请参阅此处(。您可以使用以上两种方法来覆盖此路径。

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