Package com.google.cloud.aiplatform.v1

Interface PublisherModel.CallToAction.DeployOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
PublisherModel.CallToAction.Deploy, PublisherModel.CallToAction.Deploy.Builder
Enclosing class:
PublisherModel.CallToAction
public static interface PublisherModel.CallToAction.DeployOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • hasDedicatedResources

      boolean hasDedicatedResources()
       A description of resources that are dedicated to the DeployedModel,
 and that need a higher degree of manual configuration.
      .google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 5;
      Returns:
      Whether the dedicatedResources field is set.

    • getDedicatedResources

      DedicatedResources getDedicatedResources()
       A description of resources that are dedicated to the DeployedModel,
 and that need a higher degree of manual configuration.
      .google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 5;
      Returns:
      The dedicatedResources.

    • getDedicatedResourcesOrBuilder

      DedicatedResourcesOrBuilder getDedicatedResourcesOrBuilder()
       A description of resources that are dedicated to the DeployedModel,
 and that need a higher degree of manual configuration.
      .google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 5;

    • hasAutomaticResources

      boolean hasAutomaticResources()
       A description of resources that to large degree are decided by Vertex
 AI, and require only a modest additional configuration.
      .google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 6;
      Returns:
      Whether the automaticResources field is set.

    • getAutomaticResources

      AutomaticResources getAutomaticResources()
       A description of resources that to large degree are decided by Vertex
 AI, and require only a modest additional configuration.
      .google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 6;
      Returns:
      The automaticResources.

    • getAutomaticResourcesOrBuilder

      AutomaticResourcesOrBuilder getAutomaticResourcesOrBuilder()
       A description of resources that to large degree are decided by Vertex
 AI, and require only a modest additional configuration.
      .google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 6;

    • hasSharedResources

      boolean hasSharedResources()
       The resource name of the shared DeploymentResourcePool to deploy on.
 Format:
 `projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`
      string shared_resources = 7;
      Returns:
      Whether the sharedResources field is set.

    • getSharedResources

      String getSharedResources()
       The resource name of the shared DeploymentResourcePool to deploy on.
 Format:
 `projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`
      string shared_resources = 7;
      Returns:
      The sharedResources.

    • getSharedResourcesBytes

      com.google.protobuf.ByteString getSharedResourcesBytes()
       The resource name of the shared DeploymentResourcePool to deploy on.
 Format:
 `projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`
      string shared_resources = 7;
      Returns:
      The bytes for sharedResources.

    • getModelDisplayName

      String getModelDisplayName()
       Optional. Default model display name.
      string model_display_name = 1 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The modelDisplayName.

    • getModelDisplayNameBytes

      com.google.protobuf.ByteString getModelDisplayNameBytes()
       Optional. Default model display name.
      string model_display_name = 1 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The bytes for modelDisplayName.

    • hasLargeModelReference

      boolean hasLargeModelReference()
       Optional. Large model reference. When this is set, model_artifact_spec
 is not needed.
      .google.cloud.aiplatform.v1.LargeModelReference large_model_reference = 2 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      Whether the largeModelReference field is set.

    • getLargeModelReference

      LargeModelReference getLargeModelReference()
       Optional. Large model reference. When this is set, model_artifact_spec
 is not needed.
      .google.cloud.aiplatform.v1.LargeModelReference large_model_reference = 2 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The largeModelReference.

    • getLargeModelReferenceOrBuilder

      LargeModelReferenceOrBuilder getLargeModelReferenceOrBuilder()
       Optional. Large model reference. When this is set, model_artifact_spec
 is not needed.
      .google.cloud.aiplatform.v1.LargeModelReference large_model_reference = 2 [(.google.api.field_behavior) = OPTIONAL];

    • hasContainerSpec

      boolean hasContainerSpec()
       Optional. The specification of the container that is to be used when
 deploying this Model in Vertex AI. Not present for Large Models.
      .google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 3 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      Whether the containerSpec field is set.

    • getContainerSpec

      ModelContainerSpec getContainerSpec()
       Optional. The specification of the container that is to be used when
 deploying this Model in Vertex AI. Not present for Large Models.
      .google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 3 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The containerSpec.

    • getContainerSpecOrBuilder

      ModelContainerSpecOrBuilder getContainerSpecOrBuilder()
       Optional. The specification of the container that is to be used when
 deploying this Model in Vertex AI. Not present for Large Models.
      .google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 3 [(.google.api.field_behavior) = OPTIONAL];

    • getArtifactUri

      String getArtifactUri()
       Optional. The path to the directory containing the Model artifact and
 any of its supporting files.
      string artifact_uri = 4 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The artifactUri.

    • getArtifactUriBytes

      com.google.protobuf.ByteString getArtifactUriBytes()
       Optional. The path to the directory containing the Model artifact and
 any of its supporting files.
      string artifact_uri = 4 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The bytes for artifactUri.

    • hasDeployTaskName

      boolean hasDeployTaskName()
       Optional. The name of the deploy task (e.g., "text to image
 generation").
      optional string deploy_task_name = 10 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      Whether the deployTaskName field is set.

    • getDeployTaskName

      String getDeployTaskName()
       Optional. The name of the deploy task (e.g., "text to image
 generation").
      optional string deploy_task_name = 10 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The deployTaskName.

    • getDeployTaskNameBytes

      com.google.protobuf.ByteString getDeployTaskNameBytes()
       Optional. The name of the deploy task (e.g., "text to image
 generation").
      optional string deploy_task_name = 10 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The bytes for deployTaskName.

    • hasDeployMetadata

      boolean hasDeployMetadata()
       Optional. Metadata information about this deployment config.
      optional .google.cloud.aiplatform.v1.PublisherModel.CallToAction.Deploy.DeployMetadata deploy_metadata = 11 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      Whether the deployMetadata field is set.

    • getDeployMetadata

      PublisherModel.CallToAction.Deploy.DeployMetadata getDeployMetadata()
       Optional. Metadata information about this deployment config.
      optional .google.cloud.aiplatform.v1.PublisherModel.CallToAction.Deploy.DeployMetadata deploy_metadata = 11 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The deployMetadata.

    • getDeployMetadataOrBuilder

      PublisherModel.CallToAction.Deploy.DeployMetadataOrBuilder getDeployMetadataOrBuilder()
       Optional. Metadata information about this deployment config.
      optional .google.cloud.aiplatform.v1.PublisherModel.CallToAction.Deploy.DeployMetadata deploy_metadata = 11 [(.google.api.field_behavior) = OPTIONAL];

    • getTitle

      String getTitle()
       Required. The title of the regional resource reference.
      string title = 8 [(.google.api.field_behavior) = REQUIRED];
      Returns:
      The title.

    • getTitleBytes

      com.google.protobuf.ByteString getTitleBytes()
       Required. The title of the regional resource reference.
      string title = 8 [(.google.api.field_behavior) = REQUIRED];
      Returns:
      The bytes for title.

    • getPublicArtifactUri

      String getPublicArtifactUri()
       Optional. The signed URI for ephemeral Cloud Storage access to model
 artifact.
      string public_artifact_uri = 9 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The publicArtifactUri.

    • getPublicArtifactUriBytes

      com.google.protobuf.ByteString getPublicArtifactUriBytes()
       Optional. The signed URI for ephemeral Cloud Storage access to model
 artifact.
      string public_artifact_uri = 9 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The bytes for publicArtifactUri.

    • getPredictionResourcesCase

      PublisherModel.CallToAction.Deploy.PredictionResourcesCase getPredictionResourcesCase()