Struct GoogleCloudAiplatformV1PublisherModelCallToActionDeploy

pub struct GoogleCloudAiplatformV1PublisherModelCallToActionDeploy {
    pub dedicated_resources: Option<GoogleCloudAiplatformV1DedicatedResources>,
    pub artifact_uri: Option<String>,
    pub automatic_resources: Option<GoogleCloudAiplatformV1AutomaticResources>,
    pub model_display_name: Option<String>,
    pub shared_resources: Option<String>,
    pub title: Option<String>,
    pub deploy_task_name: Option<String>,
    pub public_artifact_uri: Option<String>,
    pub large_model_reference: Option<GoogleCloudAiplatformV1LargeModelReference>,
    pub deploy_metadata: Option<GoogleCloudAiplatformV1PublisherModelCallToActionDeployDeployMetadata>,
    pub container_spec: Option<GoogleCloudAiplatformV1ModelContainerSpec>,
}

Model metadata that is needed for UploadModel or DeployModel/CreateEndpoint requests.

This type is not used in any activity, and only used as part of another schema.

Fields

dedicated_resources: Option<GoogleCloudAiplatformV1DedicatedResources>

A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.

artifact_uri: Option<String>

Optional. The path to the directory containing the Model artifact and any of its supporting files.

automatic_resources: Option<GoogleCloudAiplatformV1AutomaticResources>

A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.

model_display_name: Option<String>

Optional. Default model display name.

shared_resources: Option<String>

The resource name of the shared DeploymentResourcePool to deploy on. Format: projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}

title: Option<String>

Required. The title of the regional resource reference.

deploy_task_name: Option<String>

Optional. The name of the deploy task (e.g., “text to image generation”).

public_artifact_uri: Option<String>

Optional. The signed URI for ephemeral Cloud Storage access to model artifact.

large_model_reference: Option<GoogleCloudAiplatformV1LargeModelReference>

Optional. Large model reference. When this is set, model_artifact_spec is not needed.

deploy_metadata: Option<GoogleCloudAiplatformV1PublisherModelCallToActionDeployDeployMetadata>

Optional. Metadata information about this deployment config.

container_spec: Option<GoogleCloudAiplatformV1ModelContainerSpec>

Optional. The specification of the container that is to be used when deploying this Model in Vertex AI. Not present for Large Models.

Trait Implementations

impl Clone for GoogleCloudAiplatformV1PublisherModelCallToActionDeploy

fn clone(&self) -> GoogleCloudAiplatformV1PublisherModelCallToActionDeploy

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for GoogleCloudAiplatformV1PublisherModelCallToActionDeploy

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for GoogleCloudAiplatformV1PublisherModelCallToActionDeploy

fn default() -> GoogleCloudAiplatformV1PublisherModelCallToActionDeploy

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GoogleCloudAiplatformV1PublisherModelCallToActionDeploy

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GoogleCloudAiplatformV1PublisherModelCallToActionDeploy

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Part for GoogleCloudAiplatformV1PublisherModelCallToActionDeploy