gcloud alpha ai-platform models set-iam-policy - set the IAM policy for a model
gcloud alpha ai-platform models set-iam-policy MODEL POLICY_FILE [--region=REGION] [GCLOUD_WIDE_FLAG ...]
(ALPHA) Sets the IAM policy for the given model as defined in a JSON or YAML file.
See https://cloud.google.com/iam/docs/managing-policies for details of the policy file format and contents.
The following command will read am IAM policy defined in a JSON file 'policy.json' and set it for the model my_model:
$ gcloud alpha ai-platform models set-iam-policy my_model policy.json
- Model resource - The AI Platform model to set IAM policy for. 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 model 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.
- MODEL
ID of the model or fully qualified identifier for the model. To set the name attribute:
provide the argument model on the command line.
- POLICY_FILE
Path to a local JSON or YAML formatted file containing a valid policy.
The output of the get-iam-policy command is a valid file, as is any JSON or YAML file conforming to the structure of a Policy https://cloud.google.com/iam/reference/rest/v1/Policy.
- --region=REGION
Google Cloud region of the regional endpoint to use for this command. For the global endpoint, the region needs to be specified as global.
Learn more about regional endpoints and see a list of available regions: https://cloud.google.com/ai-platform/prediction/docs/regional-endpoints
REGION must be one of: global, asia-east1, asia-northeast1, asia-southeast1, australia-southeast1, europe-west1, europe-west2, europe-west3, europe-west4, northamerica-northeast1, us-central1, us-east1, us-east4, us-west1.
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. These variants are also available:
$ gcloud ai-platform models set-iam-policy
$ gcloud beta ai-platform models set-iam-policy