gcloud alpha ai tensorboards delete

NAME
gcloud alpha ai tensorboards delete - delete an existing Vertex AI Tensorboard
SYNOPSIS
gcloud alpha ai tensorboards delete (TENSORBOARD : --region=REGION) [GCLOUD_WIDE_FLAG …]
DESCRIPTION
(ALPHA) Delete an existing Vertex AI Tensorboard.
EXAMPLES
To delete a Tensorboard 12345 in region us-central1 and project my-project: 
gcloud alpha ai tensorboards delete projects/my-project/locations/us-central1/tensorboards/12345

Or with flags: 

gcloud alpha ai tensorboards delete 12345
POSITIONAL ARGUMENTS
Tensorboard resource - The tensorboard to delete. The arguments in this group can be used to specify the attributes of this resource. (NOTE) Some attributes are not given arguments in this group but can be set in other ways.

To set the project attribute:

  • provide the argument tensorboard on the command line with a fully specified name;
  • provide the argument --project on the command line;
  • set the property core/project.

This must be specified.

TENSORBOARD
ID of the tensorboard or fully qualified identifier for the tensorboard.

To set the name attribute:

  • provide the argument tensorboard on the command line.

This positional argument must be specified if any of the other arguments in this group are specified.

--region=REGION
Cloud region for the tensorboard.

To set the region attribute:

  • provide the argument tensorboard on the command line with a fully specified name;
  • provide the argument --region on the command line;
  • set the property ai/region;
  • choose one from the prompted list of available regions.
GCLOUD WIDE FLAGS
These flags are available to all commands: --access-token-file, --account, --billing-project, --configuration, --flags-file, --flatten, --format, --help, --impersonate-service-account, --log-http, --project, --quiet, --trace-token, --user-output-enabled, --verbosity.

Run $ gcloud help for details.

NOTES
This command is currently in alpha and might change without notice. If this command fails with API permission errors despite specifying the correct project, you might be trying to access an API with an invitation-only early access allowlist. These variants are also available: 
gcloud ai tensorboards delete
 
gcloud beta ai tensorboards delete