Surface and SurfaceHolder. SurfaceFlinger and WindowManager. Hardware Composer HAL. OpenGL ES. Neural Networks. Audio Accessories. USB Headset. Custom Accessories. Sensors HAL. Context Hub Runtime Environment. Test Development Workflow. Instrumentation Tests. Native Tests. Android Test Station. Test Framework. This issue happens when the size of the model is larger than the available disk space and the model is not able to be downloaded.
Try an SKU with more disk space. Try to delete some unused role assignments in this subscription. You can check all role assignments in the Azure portal in the Access Control menu. To run the score. If your container could not start, this means scoring could not happen. Retry later or try deploying to a different region. Requests for resources must be less than or equal to limits. If you don't set limits, we set default values when you attach your compute to an Azure Machine Learning workspace.
You can check limits in the Azure portal or by using the az ml compute show command. After provisioning the compute resource, during deployment creation, Azure tries to pull the user container image from the workspace private Azure Container Registry ACR and mount the user model and code artifacts into the user container from the workspace storage account.
To pull blobs, Azure uses managed identities to access the storage account. If you created the associated endpoint with SystemAssigned, Azure role-based access control RBAC permission is automatically granted, and no further permissions are needed. If you created the associated endpoint with UserAssigned, the user's managed identity must have Storage blob data reader permission on the workspace storage account.
During this process, you can run into a few different issues depending on which stage the operation failed at:. For example, if image is testacr. Make sure model and code artifacts are registered to the same workspace as the deployment.
Use the show command to show details for a model or code artifact in a workspace. The error in this scenario is that this container is crashing when running, which means scoring can't happen. This error happens when:. This error occurs when Azure Resource Manager can't find a required resource. For example, you will receive this error if a storage account was referred to but cannot be found at the path on which it was specified. Dangling objects are not a problem.
But missing objects are. Add a comment. Active Oldest Votes. In order to solve the issue I followed these steps: Use the Bash script found here in order to detect a commit containing this missing blob. Improve this answer. Thanks a lot. This really helped.
Worked for me. In my case the file was there but empty, so the last command was not doing anything. I had to remove the file e. I got into this state after trying to revert a single file to a previous commit's state so I knew exactly what file I needed and skipped to step 4.
I have no clue what's going on but it worked, thanks! The accepted answer helped me to fix the problem. Reading your question, I got an idea from your first sentence: Because I've been rsyncing my git repo between various places I'm now stuck with a broken git repo.
And reading yours I got the following idea: TL;DR: In the end I did the Windows scan and fix thing as shown here , which actually pops up every single time I plug in any of my USB sticks and never did anything I found useful - until now. Sebu Sebu 2, 2 2 gold badges 14 14 silver badges 24 24 bronze badges. Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password. The legal characters and the names of months and days of the week are not case sensitive.
Fire at 12pm noon every day 0 15 10? Fire every minute starting at 2pm and ending at pm, every day 0 10,44 14? Fire at am on the last day of every month 0 15 10? Admin - Cleanup unused asset blobs PRO. Admin - Change repository blob store PRO. Admin - Log database table record counts PRO. NEW IN 3. Repository - Import external files PRO. Repository - Export assets PRO. Export to PDF. Fire every 5 minutes starting at 2pm and ending at pm, AND fire every 5 minutes starting at 6pm and ending at pm, every day.
Fire at am on every last Friday of every month during the years , , and Task Name. Task Id. Typically Scheduled. For those using an embedded H2 database, this task performs a full backup of the underlying config, security, and component databases - not blobstore content. Admin - Compact blob store. This task can be used to change a repository blob store. See Change repository blob store for more details.
Admin - Delete orphaned API keys. Admin - Export databases for backup. Admin - Execute script. Scripts can be provided in the Source field and have to be written using the Groovy programming language. These scripts can use the APIs of the repository manager to perform maintenance and other modification tasks. Admin - Remove a member from a blob store group. This task removes a blob store from a group.
Each blob within the removed store is written back to the group and then deleted from the removed blob store. Docker - Delete incomplete uploads. Docker - Delete unused manifests and images. This task will handle deletion of content that is no longer referenced, images that are no longer referenced by a tagged manifest and V1 layers that are no longer referenced by a tagged layer. Maven - Publish Maven Indexer files. The task publishes the indexer files for all or a specific Maven repository.
Maven - Unpublish Maven Indexer files. This task is the counterpart to the task Maven - Publish Maven Indexer files and can remove the indexer files.
Repair - Rebuild Maven repository metadata maven-metadata. This task rebuilds the maven-metadata. The Group Id , Artifact Id and Base Version parameters allow you to narrow down the section of the repository that will be repaired. Note that maven-metadata. This task should never be run on a regular basis, it should only be run manually in rare cases to repair a corrupted repository. Repair - Rebuild repository browse. This task rebuilds the tree browsing data based upon current information in the database.
Repair - Rebuild repository search. Repair - Reconcile component database from blob store. This can drastically reduce your recovery time.
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