gcloud ai tensorboards create

NAME
gcloud ai tensorboards create - create a new Vertex AI Tensorboard
SYNOPSIS
gcloud ai tensorboards create --display-name=DISPLAY_NAME [--description=DESCRIPTION] [--labels=[KEY=VALUE,…]] [--region=REGION] [--kms-key=KMS_KEY : --kms-keyring=KMS_KEYRING --kms-location=KMS_LOCATION --kms-project=KMS_PROJECT] [GCLOUD_WIDE_FLAG …]
DESCRIPTION
Create a new Vertex AI Tensorboard.
EXAMPLES
To create a Tensorboard with the display name my tensorboard: 
gcloud ai tensorboards create --display-name="my tensorboard"

You may also provide a description: 

gcloud ai tensorboards create --description="my description"

You may also provide labels: 

gcloud ai tensorboards create --labels="label1=value1" --labels="label2=value2"
REQUIRED FLAGS
--display-name=DISPLAY_NAME
Display name of the tensorboard.
OPTIONAL FLAGS
--description=DESCRIPTION
Description of the tensorboard.
--labels=[KEY=VALUE,…]
List of label KEY=VALUE pairs to add.

Keys must start with a lowercase character and contain only hyphens (-), underscores (_), lowercase characters, and numbers. Values must contain only hyphens (-), underscores (_), lowercase characters, and numbers.

Region resource - Cloud region to create a Tensorboard. This represents a Cloud 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 --region on the command line with a fully specified name;
  • set the property ai/region with a fully specified name;
  • choose one from the prompted list of available regions with a fully specified name;
  • provide the argument --project on the command line;
  • set the property core/project.
--region=REGION
ID of the region or fully qualified identifier for the region.

To set the region attribute:

  • provide the argument --region on the command line;
  • set the property ai/region;
  • choose one from the prompted list of available regions.
Key resource - The Cloud KMS (Key Management Service) cryptokey that will be used to protect the tensorboard. The 'Vertex AI Service Agent' service account must hold permission 'Cloud KMS CryptoKey Encrypter/Decrypter'. The arguments in this group can be used to specify the attributes of this resource.
--kms-key=KMS_KEY
ID of the key or fully qualified identifier for the key.

To set the kms-key attribute:

  • provide the argument --kms-key on the command line.

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

--kms-keyring=KMS_KEYRING
The KMS keyring of the key.

To set the kms-keyring attribute:

  • provide the argument --kms-key on the command line with a fully specified name;
  • provide the argument --kms-keyring on the command line.
--kms-location=KMS_LOCATION
The Google Cloud location for the key.

To set the kms-location attribute:

  • provide the argument --kms-key on the command line with a fully specified name;
  • provide the argument --kms-location on the command line.
--kms-project=KMS_PROJECT
The Google Cloud project for the key.

To set the kms-project attribute:

  • provide the argument --kms-key on the command line with a fully specified name;
  • provide the argument --kms-project on the command line;
  • set the property core/project.
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
These variants are also available: 
gcloud alpha ai tensorboards create

gcloud beta ai tensorboards create