Interface PublisherModel.CallToAction.DeployOrBuilder (3.23.0)

public static interface PublisherModel.CallToAction.DeployOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getArtifactUri()

public abstract 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
TypeDescription
String

The artifactUri.

getArtifactUriBytes()

public abstract 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
TypeDescription
ByteString

The bytes for artifactUri.

getAutomaticResources()

public abstract 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.v1beta1.AutomaticResources automatic_resources = 6;

Returns
TypeDescription
AutomaticResources

The automaticResources.

getAutomaticResourcesOrBuilder()

public abstract 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.v1beta1.AutomaticResources automatic_resources = 6;

Returns
TypeDescription
AutomaticResourcesOrBuilder

getContainerSpec()

public abstract 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.v1beta1.ModelContainerSpec container_spec = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
ModelContainerSpec

The containerSpec.

getContainerSpecOrBuilder()

public abstract 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.v1beta1.ModelContainerSpec container_spec = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
ModelContainerSpecOrBuilder

getDedicatedResources()

public abstract DedicatedResources getDedicatedResources()

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

.google.cloud.aiplatform.v1beta1.DedicatedResources dedicated_resources = 5;

Returns
TypeDescription
DedicatedResources

The dedicatedResources.

getDedicatedResourcesOrBuilder()

public abstract DedicatedResourcesOrBuilder getDedicatedResourcesOrBuilder()

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

.google.cloud.aiplatform.v1beta1.DedicatedResources dedicated_resources = 5;

Returns
TypeDescription
DedicatedResourcesOrBuilder

getLargeModelReference()

public abstract LargeModelReference getLargeModelReference()

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

.google.cloud.aiplatform.v1beta1.LargeModelReference large_model_reference = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
LargeModelReference

The largeModelReference.

getLargeModelReferenceOrBuilder()

public abstract LargeModelReferenceOrBuilder getLargeModelReferenceOrBuilder()

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

.google.cloud.aiplatform.v1beta1.LargeModelReference large_model_reference = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
LargeModelReferenceOrBuilder

getModelDisplayName()

public abstract String getModelDisplayName()

Optional. Default model display name.

string model_display_name = 1 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
String

The modelDisplayName.

getModelDisplayNameBytes()

public abstract ByteString getModelDisplayNameBytes()

Optional. Default model display name.

string model_display_name = 1 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
ByteString

The bytes for modelDisplayName.

getPredictionResourcesCase()

public abstract PublisherModel.CallToAction.Deploy.PredictionResourcesCase getPredictionResourcesCase()
Returns
TypeDescription
PublisherModel.CallToAction.Deploy.PredictionResourcesCase

getSharedResources()

public abstract 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
TypeDescription
String

The sharedResources.

getSharedResourcesBytes()

public abstract 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
TypeDescription
ByteString

The bytes for sharedResources.

getTitle()

public abstract String getTitle()

Required. The title of the regional resource reference.

string title = 8 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
String

The title.

getTitleBytes()

public abstract ByteString getTitleBytes()

Required. The title of the regional resource reference.

string title = 8 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
ByteString

The bytes for title.

hasAutomaticResources()

public abstract 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.v1beta1.AutomaticResources automatic_resources = 6;

Returns
TypeDescription
boolean

Whether the automaticResources field is set.

hasContainerSpec()

public abstract 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.v1beta1.ModelContainerSpec container_spec = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
boolean

Whether the containerSpec field is set.

hasDedicatedResources()

public abstract boolean hasDedicatedResources()

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

.google.cloud.aiplatform.v1beta1.DedicatedResources dedicated_resources = 5;

Returns
TypeDescription
boolean

Whether the dedicatedResources field is set.

hasLargeModelReference()

public abstract boolean hasLargeModelReference()

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

.google.cloud.aiplatform.v1beta1.LargeModelReference large_model_reference = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
boolean

Whether the largeModelReference field is set.

hasSharedResources()

public abstract 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
TypeDescription
boolean

Whether the sharedResources field is set.