- NAME
-
- gcloud beta ai tensorboards create - create a new Vertex AI Tensorboard
- SYNOPSIS
-
-
gcloud beta 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
-
(BETA)
Create a new Vertex AI Tensorboard. - EXAMPLES
-
To create a Tensorboard with the display name
my tensorboard
:gcloud beta ai tensorboards create --display-name="my tensorboard"
You may also provide a description:
gcloud beta ai tensorboards create --description="my description"
You may also provide labels:
gcloud beta 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.
-
provide the argument
-
provide the argument
-
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.
-
provide the argument
--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.
-
provide the argument
--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.
-
provide the argument
--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
.
-
provide the argument
- 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 beta and might change without notice. These
variants are also available:
gcloud ai tensorboards create
gcloud alpha ai tensorboards create
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Last updated 2024-02-06 UTC.