mirror of
https://github.com/imjasonh/gcloud-help
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112 lines
4.2 KiB
Text
112 lines
4.2 KiB
Text
NAME
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gcloud ai tensorboards create - create a new Vertex AI Tensorboard
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SYNOPSIS
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gcloud ai tensorboards create --display-name=DISPLAY_NAME
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[--description=DESCRIPTION] [--labels=[KEY=VALUE,...]]
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[--region=REGION]
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[--kms-key=KMS_KEY : --kms-keyring=KMS_KEYRING
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--kms-location=KMS_LOCATION --kms-project=KMS_PROJECT]
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[GCLOUD_WIDE_FLAG ...]
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DESCRIPTION
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Create a new Vertex AI Tensorboard.
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EXAMPLES
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To create a Tensorboard with the display name my tensorboard:
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$ gcloud ai tensorboards create --display-name="my tensorboard"
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You may also provide a description:
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$ gcloud ai tensorboards create --description="my description"
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You may also provide labels:
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$ gcloud ai tensorboards create --labels="label1=value1" \
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--labels="label2=value2"
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REQUIRED FLAGS
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--display-name=DISPLAY_NAME
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Display name of the tensorboard.
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OPTIONAL FLAGS
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--description=DESCRIPTION
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Description of the tensorboard.
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--labels=[KEY=VALUE,...]
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List of label KEY=VALUE pairs to add.
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Keys must start with a lowercase character and contain only hyphens
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(-), underscores (_), lowercase characters, and numbers. Values must
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contain only hyphens (-), underscores (_), lowercase characters, and
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numbers.
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Region resource - Cloud region to create a Tensorboard. This represents a
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Cloud resource. (NOTE) Some attributes are not given arguments in this
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group but can be set in other ways. To set the project attribute:
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◆ provide the argument --region on the command line with a fully
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specified name;
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◆ set the property ai/region with a fully specified name;
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◆ choose one from the prompted list of available regions with a fully
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specified name;
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◆ provide the argument --project on the command line;
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◆ set the property core/project.
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--region=REGION
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ID of the region or fully qualified identifier for the region. To set
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the region attribute:
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▸ provide the argument --region on the command line;
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▸ set the property ai/region;
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▸ choose one from the prompted list of available regions.
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Key resource - The Cloud KMS (Key Management Service) cryptokey that will
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be used to protect the tensorboard. The 'Vertex AI Service Agent' service
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account must hold permission 'Cloud KMS CryptoKey Encrypter/Decrypter'.
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The arguments in this group can be used to specify the attributes of this
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resource.
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--kms-key=KMS_KEY
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ID of the key or fully qualified identifier for the key. To set the
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kms-key attribute:
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▸ provide the argument --kms-key on the command line.
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This flag argument must be specified if any of the other arguments in
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this group are specified.
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--kms-keyring=KMS_KEYRING
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The KMS keyring of the key. To set the kms-keyring attribute:
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▸ provide the argument --kms-key on the command line with a fully
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specified name;
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▸ provide the argument --kms-keyring on the command line.
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--kms-location=KMS_LOCATION
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The Google Cloud location for the key. To set the kms-location
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attribute:
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▸ provide the argument --kms-key on the command line with a fully
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specified name;
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▸ provide the argument --kms-location on the command line.
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--kms-project=KMS_PROJECT
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The Google Cloud project for the key. To set the kms-project
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attribute:
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▸ provide the argument --kms-key on the command line with a fully
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specified name;
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▸ provide the argument --kms-project on the command line;
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▸ set the property core/project.
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GCLOUD WIDE FLAGS
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These flags are available to all commands: --access-token-file, --account,
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--billing-project, --configuration, --flags-file, --flatten, --format,
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--help, --impersonate-service-account, --log-http, --project, --quiet,
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--trace-token, --user-output-enabled, --verbosity.
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Run $ gcloud help for details.
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NOTES
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These variants are also available:
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$ gcloud alpha ai tensorboards create
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$ gcloud beta ai tensorboards create
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