gcloud alpha ai tensorboard-time-series create - create a new Vertex AI Tensorboard time series
gcloud alpha ai tensorboard-time-series create (TENSORBOARD_RUN : --region=REGION --tensorboard-experiment-id=TENSORBOARD_EXPERIMENT_ID --tensorboard-id=TENSORBOARD_ID) --display-name=DISPLAY_NAME --type=TYPE [--description=DESCRIPTION] [--plugin-data=PLUGIN_DATA] [--plugin-name=PLUGIN_NAME] [GCLOUD_WIDE_FLAG ...]
(ALPHA) Create a new Vertex AI Tensorboard time series.
- Tensorboard run resource - The Tensorboard run to create a Tensorboard time
series. 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_run 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_RUN
ID of the tensorboard_run or fully qualified identifier for the tensorboard_run. To set the name attribute:
provide the argument tensorboard_run 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_run. To set the region attribute:
provide the argument tensorboard_run 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.
- --tensorboard-experiment-id=TENSORBOARD_EXPERIMENT_ID
ID of the tensorboard experiment for the tensorboard_run. To set the tensorboard-experiment-id attribute:
provide the argument tensorboard_run on the command line with a fully specified name;
provide the argument --tensorboard-experiment-id on the command line.
- --tensorboard-id=TENSORBOARD_ID
ID of the tensorboard for the tensorboard_run. To set the tensorboard-id attribute:
provide the argument tensorboard_run on the command line with a fully specified name;
provide the argument --tensorboard-id on the command line.
- --display-name=DISPLAY_NAME
Display name of the tensorboard-time-series.
- --type=TYPE
Value type of the tensorboard-time-series. TYPE must be one of:
- blob-sequence
Used for tensorboard-time-series that is a list of blob sequences. E.g. set of sample images with labels over epochs/time.
- scalar
Used for tensorboard-time-series that is a list of scalars. E.g. accuracy of a model over epochs/time.
- tensor
Used for tensorboard-time-series that is a list of tensors. E.g. histograms of weights of layer in a model over epoch/time.
- --description=DESCRIPTION
Description of the tensorboard-time-series.
- --plugin-data=PLUGIN_DATA
Plugin data of the tensorboard-time-series.
- --plugin-name=PLUGIN_NAME
Plugin name of the tensorboard-time-series.
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.
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. This variant is also available:
$ gcloud beta ai tensorboard-time-series create