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Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native

google-native.aiplatform/v1.Run

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Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native

    Creates a TensorboardRun. Auto-naming is currently not supported for this resource.

    Create Run Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new Run(name: string, args: RunArgs, opts?: CustomResourceOptions);
    @overload
def Run(resource_name: str,
        args: RunArgs,
        opts: Optional[ResourceOptions] = None)

@overload
def Run(resource_name: str,
        opts: Optional[ResourceOptions] = None,
        display_name: Optional[str] = None,
        experiment_id: Optional[str] = None,
        tensorboard_id: Optional[str] = None,
        tensorboard_run_id: Optional[str] = None,
        description: Optional[str] = None,
        etag: Optional[str] = None,
        labels: Optional[Mapping[str, str]] = None,
        location: Optional[str] = None,
        project: Optional[str] = None)
    func NewRun(ctx *Context, name string, args RunArgs, opts ...ResourceOption) (*Run, error)
    public Run(string name, RunArgs args, CustomResourceOptions? opts = null)
    public Run(String name, RunArgs args)
public Run(String name, RunArgs args, CustomResourceOptions options)

    type: google-native:aiplatform/v1:Run
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

    Parameters

    name string
    The unique name of the resource.
    args RunArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args RunArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args RunArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args RunArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args RunArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Constructor example

    The following reference example uses placeholder values for all input properties.

    var runResource = new GoogleNative.Aiplatform.V1.Run("runResource", new()
{
    DisplayName = "string",
    ExperimentId = "string",
    TensorboardId = "string",
    TensorboardRunId = "string",
    Description = "string",
    Etag = "string",
    Labels = 
    {
        { "string", "string" },
    },
    Location = "string",
    Project = "string",
});

    example, err := aiplatform.NewRun(ctx, "runResource", &aiplatform.RunArgs{
	DisplayName:      pulumi.String("string"),
	ExperimentId:     pulumi.String("string"),
	TensorboardId:    pulumi.String("string"),
	TensorboardRunId: pulumi.String("string"),
	Description:      pulumi.String("string"),
	Etag:             pulumi.String("string"),
	Labels: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	Location: pulumi.String("string"),
	Project:  pulumi.String("string"),
})

    var runResource = new Run("runResource", RunArgs.builder()
    .displayName("string")
    .experimentId("string")
    .tensorboardId("string")
    .tensorboardRunId("string")
    .description("string")
    .etag("string")
    .labels(Map.of("string", "string"))
    .location("string")
    .project("string")
    .build());

    run_resource = google_native.aiplatform.v1.Run("runResource",
    display_name="string",
    experiment_id="string",
    tensorboard_id="string",
    tensorboard_run_id="string",
    description="string",
    etag="string",
    labels={
        "string": "string",
    },
    location="string",
    project="string")

    const runResource = new google_native.aiplatform.v1.Run("runResource", {
    displayName: "string",
    experimentId: "string",
    tensorboardId: "string",
    tensorboardRunId: "string",
    description: "string",
    etag: "string",
    labels: {
        string: "string",
    },
    location: "string",
    project: "string",
});

    type: google-native:aiplatform/v1:Run
properties:
    description: string
    displayName: string
    etag: string
    experimentId: string
    labels:
        string: string
    location: string
    project: string
    tensorboardId: string
    tensorboardRunId: string

    Run Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

    The Run resource accepts the following input properties:

    DisplayName string
    User provided name of this TensorboardRun. This value must be unique among all TensorboardRuns belonging to the same parent TensorboardExperiment.
    ExperimentId string
    TensorboardId string
    TensorboardRunId string
    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-/.
    Description string
    Description of this TensorboardRun.
    Etag string
    Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
    Labels Dictionary<string, string>
    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.
    Location string
    Project string
    DisplayName string
    User provided name of this TensorboardRun. This value must be unique among all TensorboardRuns belonging to the same parent TensorboardExperiment.
    ExperimentId string
    TensorboardId string
    TensorboardRunId string
    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-/.
    Description string
    Description of this TensorboardRun.
    Etag string
    Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
    Labels map[string]string
    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.
    Location string
    Project string
    displayName String
    User provided name of this TensorboardRun. This value must be unique among all TensorboardRuns belonging to the same parent TensorboardExperiment.
    experimentId String
    tensorboardId String
    tensorboardRunId String
    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-/.
    description String
    Description of this TensorboardRun.
    etag String
    Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
    labels Map<String,String>
    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.
    location String
    project String
    displayName string
    User provided name of this TensorboardRun. This value must be unique among all TensorboardRuns belonging to the same parent TensorboardExperiment.
    experimentId string
    tensorboardId string
    tensorboardRunId string
    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-/.
    description string
    Description of this TensorboardRun.
    etag string
    Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
    labels {[key: string]: string}
    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.
    location string
    project string
    display_name str
    User provided name of this TensorboardRun. This value must be unique among all TensorboardRuns belonging to the same parent TensorboardExperiment.
    experiment_id str
    tensorboard_id str
    tensorboard_run_id str
    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-/.
    description str
    Description of this TensorboardRun.
    etag str
    Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
    labels Mapping[str, str]
    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.
    location str
    project str
    displayName String
    User provided name of this TensorboardRun. This value must be unique among all TensorboardRuns belonging to the same parent TensorboardExperiment.
    experimentId String
    tensorboardId String
    tensorboardRunId String
    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-/.
    description String
    Description of this TensorboardRun.
    etag String
    Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
    labels Map<String>
    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.
    location String
    project String

    Outputs

    All input properties are implicitly available as output properties. Additionally, the Run resource produces the following output properties:

    CreateTime string
    Timestamp when this TensorboardRun was created.
    Id string
    The provider-assigned unique ID for this managed resource.
    Name string
    Name of the TensorboardRun. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}
    UpdateTime string
    Timestamp when this TensorboardRun was last updated.
    CreateTime string
    Timestamp when this TensorboardRun was created.
    Id string
    The provider-assigned unique ID for this managed resource.
    Name string
    Name of the TensorboardRun. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}
    UpdateTime string
    Timestamp when this TensorboardRun was last updated.
    createTime String
    Timestamp when this TensorboardRun was created.
    id String
    The provider-assigned unique ID for this managed resource.
    name String
    Name of the TensorboardRun. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}
    updateTime String
    Timestamp when this TensorboardRun was last updated.
    createTime string
    Timestamp when this TensorboardRun was created.
    id string
    The provider-assigned unique ID for this managed resource.
    name string
    Name of the TensorboardRun. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}
    updateTime string
    Timestamp when this TensorboardRun was last updated.
    create_time str
    Timestamp when this TensorboardRun was created.
    id str
    The provider-assigned unique ID for this managed resource.
    name str
    Name of the TensorboardRun. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}
    update_time str
    Timestamp when this TensorboardRun was last updated.
    createTime String
    Timestamp when this TensorboardRun was created.
    id String
    The provider-assigned unique ID for this managed resource.
    name String
    Name of the TensorboardRun. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}
    updateTime String
    Timestamp when this TensorboardRun was last updated.

    Package Details

    Repository
    Google Cloud Native pulumi/pulumi-google-native
    License
    Apache-2.0
    google-native logo

    Google Cloud Native is in preview. Google Cloud Classic is fully supported.

    Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
    pulumi/pulumi-google-native