import * as pulumi from "@pulumi/pulumi"; /** * Creates a TensorboardRun. * Auto-naming is currently not supported for this resource. */ export declare class Run extends pulumi.CustomResource { /** * Get an existing Run resource's state with the given name, ID, and optional extra * properties used to qualify the lookup. * * @param name The _unique_ name of the resulting resource. * @param id The _unique_ provider ID of the resource to lookup. * @param opts Optional settings to control the behavior of the CustomResource. */ static get(name: string, id: pulumi.Input, opts?: pulumi.CustomResourceOptions): Run; /** * Returns true if the given object is an instance of Run. This is designed to work even * when multiple copies of the Pulumi SDK have been loaded into the same process. */ static isInstance(obj: any): obj is Run; /** * Timestamp when this TensorboardRun was created. */ readonly createTime: pulumi.Output; /** * Description of this TensorboardRun. */ readonly description: pulumi.Output; /** * User provided name of this TensorboardRun. This value must be unique among all TensorboardRuns belonging to the same parent TensorboardExperiment. */ readonly displayName: pulumi.Output; /** * Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens. */ readonly etag: pulumi.Output; readonly experimentId: pulumi.Output; /** * The labels with user-defined metadata to organize your TensorboardRuns. This field will be used to filter and visualize Runs in the Tensorboard UI. For example, a Vertex AI training job can set a label aiplatform.googleapis.com/training_job_id=xxxxx to all the runs created within that job. An end user can set a label experiment_id=xxxxx for all the runs produced in a Jupyter notebook. These runs can be grouped by a label value and visualized together in the Tensorboard UI. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one TensorboardRun (System labels are excluded). See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable. */ readonly labels: pulumi.Output<{ [key: string]: string; }>; readonly location: pulumi.Output; /** * Name of the TensorboardRun. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}` */ readonly name: pulumi.Output; readonly project: pulumi.Output; readonly tensorboardId: pulumi.Output; /** * Required. The ID to use for the Tensorboard run, which becomes the final component of the Tensorboard run's resource name. This value should be 1-128 characters, and valid characters are `/a-z-/`. */ readonly tensorboardRunId: pulumi.Output; /** * Timestamp when this TensorboardRun was last updated. */ readonly updateTime: pulumi.Output; /** * Create a Run resource with the given unique name, arguments, and options. * * @param name The _unique_ name of the resource. * @param args The arguments to use to populate this resource's properties. * @param opts A bag of options that control this resource's behavior. */ constructor(name: string, args: RunArgs, opts?: pulumi.CustomResourceOptions); } /** * The set of arguments for constructing a Run resource. */ export interface RunArgs { /** * Description of this TensorboardRun. */ description?: pulumi.Input; /** * User provided name of this TensorboardRun. This value must be unique among all TensorboardRuns belonging to the same parent TensorboardExperiment. */ displayName: pulumi.Input; /** * Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens. */ etag?: pulumi.Input; experimentId: pulumi.Input; /** * The labels with user-defined metadata to organize your TensorboardRuns. This field will be used to filter and visualize Runs in the Tensorboard UI. For example, a Vertex AI training job can set a label aiplatform.googleapis.com/training_job_id=xxxxx to all the runs created within that job. An end user can set a label experiment_id=xxxxx for all the runs produced in a Jupyter notebook. These runs can be grouped by a label value and visualized together in the Tensorboard UI. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one TensorboardRun (System labels are excluded). See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable. */ labels?: pulumi.Input<{ [key: string]: pulumi.Input; }>; location?: pulumi.Input; project?: pulumi.Input; tensorboardId: pulumi.Input; /** * Required. The ID to use for the Tensorboard run, which becomes the final component of the Tensorboard run's resource name. This value should be 1-128 characters, and valid characters are `/a-z-/`. */ tensorboardRunId: pulumi.Input; }