我有一個mlflow託管在 上的伺服器aws，它s3在後台用於儲存。我正在嘗試運行一個lambda-function運行 python 腳本的腳本，該腳本訪問mlflow伺服器、載入pytorch模型、進行預測並完成。我的問題出現的程式碼是：
with open('./data/api_keys.json', 'r') as f:
API_KEYS = json.load(f)
os.environ['AWS_DEFAULT_REGION'] = API_KEYS['AWS_DEFAULT_REGION']
os.environ["AWS_ACCESS_KEY_ID"] = API_KEYS['AWS_ACCESS_KEY_ID']
os.environ["AWS_SECRET_ACCESS_KEY"] = API_KEYS['AWS_SECRET_ACCESS_KEY']
mlflow.set_tracking_uri(MLFLOW_TRACKING_URI)
model = mlflow.pytorch.load_model(MODEL_URI) # <---- error thrown here
回溯cloudwatch是：
File "/app/production_script.py", line 26, in <module>
model = mlflow.pytorch.load_model(MODEL_URI)
File "/usr/local/lib/python3.9/site-packages/mlflow/pytorch/__init__.py", line 693, in load_model
local_model_path = _download_artifact_from_uri(artifact_uri=model_uri)
File "/usr/local/lib/python3.9/site-packages/mlflow/tracking/artifact_utils.py", line 95, in _download_artifact_from_uri
return get_artifact_repository(artifact_uri=root_uri).download_artifacts(
File "/usr/local/lib/python3.9/site-packages/mlflow/store/artifact/artifact_repo.py", line 179, in download_artifacts
if self._is_directory(artifact_path):
File "/usr/local/lib/python3.9/site-packages/mlflow/store/artifact/artifact_repo.py", line 61, in _is_directory
listing = self.list_artifacts(artifact_path)
File "/usr/local/lib/python3.9/site-packages/mlflow/store/artifact/s3_artifact_repo.py", line 121, in list_artifacts
for result in results:
File "/usr/local/lib/python3.9/site-packages/botocore/paginate.py", line 269, in __iter__
response = self._make_request(current_kwargs)
File "/usr/local/lib/python3.9/site-packages/botocore/paginate.py", line 357, in _make_request
return self._method(**current_kwargs)
File "/usr/local/lib/python3.9/site-packages/botocore/client.py", line 530, in _api_call
return self._make_api_call(operation_name, kwargs)
File "/usr/local/lib/python3.9/site-packages/botocore/client.py", line 960, in _make_api_call
raise error_class(parsed_response, operation_name)
botocore.exceptions.ClientError: An error occurred (InvalidToken) when calling the ListObjectsV2 operation: The provided token is malformed or otherwise invalid.
根據文件,ListObjectsV2
每次請求都會傳回儲存桶中的部分或全部（最多 1,000 個）物件。
若要使用此操作，您必須具有儲存桶的 READ 存取權限。
若要在 AWS Identity and Access Management (IAM) 原則中使用此操作，您必須具有執行 s3:ListBucket 操作的權限。
在我policy為此定義的文件中lambda-function，我擁有託管儲存s3:ListBucket桶的權限。mlflow
歡迎任何有關如何解決此問題的想法。