我需要将文件从我的 Azure ML 工作区(笔记本文件夹)传输到存储容器。在 jupyter notebook 中试过这个;
import azureml.core
from azureml.core import Workspace, Datastore
import json
subscription_id = 'key1'
resource_group = 'rg_grp'
workspace_name = 'dev'
workspace = Workspace(subscription_id, resource_group, workspace_name)
# get the datastore to upload prepared data
datastore = Datastore.get(workspace, datastore_name='input') # using an existing mapped datastore in azure ML
# upload the local file from src_dir to the target_path in datastore
datastore.upload_files(['./folder1/output.csv'], relative_root='folder1', target_path='folder1', overwrite=True, show_progress=True)
一旦我运行要上传的代码块,我就会收到此错误消息,
UserErrorException: UserErrorException:
Message: './folder1/output.csv' does not point to a file. Please upload the file to cloud-first if running in a cloud notebook.
InnerException None
ErrorResponse
{
"error": {
"code": "UserError",
"message": "'./folder1/output.csv' does not point to a file. Please upload the file to cloud first if running in a cloud notebook."
}
}
CSV 文件已经在我的笔记本中。
任何帮助,将不胜感激
问候