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Currently, there are two solutions to isolating IAM users: Solution 1: Delete the modelarts:notebook:listAllNotebooks permission. Solution 2: Use workspaces. As an enterprise user, you can submit the request for enabling the workspace function to your technical support.
Table 1 Operations and risks Object Operation Risk Severity Solution Cluster Upgrade, modify, hibernate, or delete clusters.
(Delete the angle brackets.) commitId=<Commit ID> mkdir -p /home/ma-user/.vscode-server/bin/$commitId tar -zxvf vscode-server-linux-x64.tar.gz -C /home/ma-user/.vscode-server/bin/$commitId --strip=1 chmod 750 -R /home/ma-user/.vscode-server/bin/$commitId Close VS Code and open it
Call the API for deleting authorization to delete the authorization of a specified user or all users. Request body: URI: DELETE https://{endpoint}/v2/{project_id}/authorizations?
You can view, search for, add, modify, and delete tags of a resource pool. You can add up to 20 tags.
You are advised to go to the OBS console and delete the stored data and OBS buckets to stop billing. Parent topic: Billing FAQs
To delete nodes in batches, select the target nodes and click Delete above the node list, enter DELETE in the displayed dialog box, and click OK. For a yearly/monthly resource pool whose resources are not expired, click Unsubscribe in the Operation column.
Deleting a Node Pool If there are multiple node pools, you can delete one. To do so, click Delete in the Operation column. Confirm the associated resources and jobs that will be affected, click Delete, enter DELETE, and click OK.
You can use either of these methods to solve the problem: Delete the /home/ma-user/.ssh directory when creating the image. You do not need to set up SSH; it is automatically generated when the notebook starts.
PutObject obs:object:PutObject obs:bucket:ListAllMyBuckets √ √ Querying Details About a Dataset GET /v2/{project_id}/datasets/{dataset_id} modelarts:dataset:get N/A √ √ Modifying a Dataset PUT /v2/{project_id}/datasets/{dataset_id} modelarts:dataset:update N/A √ √ Deleting a Dataset DELETE
Delete the IPython kernel of the virtual environment. jupyter kernelspec uninstall my-py3-tensorflow-env Delete the virtual environment. conda env remove -n my-env Parent topic: ModelArts Standard Notebook
Move the data in the checkpoints folder to the new folder and delete the checkpoints folder in the root directory. mv checkpoints/* xxx rm -r checkpoints Parent topic: Other Faults
In this case, delete the VPC peering connection and try again. Parent topic: Training Jobs Created in a Dedicated Resource Pool
Note that synchronizing a data source will delete the files deleted from OBS from the dataset. Exercise caution when performing this operation. Create a dataset. Upload images to any OBS directory.
Click the Endpoint tab and choose More > Delete in the Operation column of the target endpoint. In the displayed dialog box, confirm the information, enter DELETE, and click OK. After the endpoint is deleted, it is not displayed in the Endpoint tab.
Delete an OBS file.
Solution Use either of the following methods to resolve this issue: Check the CSV file and delete the lines with extra columns.
job is being initialized. 2 JOBSTAT_IMAGE_CREATING: The job image is being created. 3 JOBSTAT_IMAGE_FAILED: Failed to create the job image. 4 JOBSTAT_SUBMIT_TRYING: The job is being submitted. 5 JOBSTAT_SUBMIT_FAILED: Failed to submit the job. 6 JOBSTAT_DELETE_FAILED: Failed to delete
job is being initialized. 2 JOBSTAT_IMAGE_CREATING: The job image is being created. 3 JOBSTAT_IMAGE_FAILED: Failed to create the job image. 4 JOBSTAT_SUBMIT_TRYING: The job is being submitted. 5 JOBSTAT_SUBMIT_FAILED: Failed to submit the job. 6 JOBSTAT_DELETE_FAILED: Failed to delete
How Do I Delete Images from a Dataset in ModelArts? What Do I Do If Images in a Dataset Cannot Be Displayed?
