Interface PublisherModel.CallToAction.DeployOrBuilder (3.79.0)

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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
Type	Description
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
Type	Description
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
Type	Description
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
Type	Description
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
Type	Description
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
Type	Description
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
Type	Description
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
Type	Description
DedicatedResourcesOrBuilder

getDeployMetadata()

public abstract PublisherModel.CallToAction.Deploy.DeployMetadata getDeployMetadata()

Optional. Metadata information about this deployment config.

optional .google.cloud.aiplatform.v1beta1.PublisherModel.CallToAction.Deploy.DeployMetadata deploy_metadata = 11 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
PublisherModel.CallToAction.Deploy.DeployMetadata	The deployMetadata.

getDeployMetadataOrBuilder()

public abstract PublisherModel.CallToAction.Deploy.DeployMetadataOrBuilder getDeployMetadataOrBuilder()

Optional. Metadata information about this deployment config.

optional .google.cloud.aiplatform.v1beta1.PublisherModel.CallToAction.Deploy.DeployMetadata deploy_metadata = 11 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
PublisherModel.CallToAction.Deploy.DeployMetadataOrBuilder

getDeployTaskName()

public abstract 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
Type	Description
String	The deployTaskName.

getDeployTaskNameBytes()

public abstract 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
Type	Description
ByteString	The bytes for deployTaskName.

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
Type	Description
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
Type	Description
LargeModelReferenceOrBuilder

getModelDisplayName()

public abstract String getModelDisplayName()

Optional. Default model display name.

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

Returns
Type	Description
String	The modelDisplayName.

getModelDisplayNameBytes()

public abstract ByteString getModelDisplayNameBytes()

Optional. Default model display name.

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

Returns
Type	Description
ByteString	The bytes for modelDisplayName.

getPredictionResourcesCase()

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

Returns
Type	Description
PublisherModel.CallToAction.Deploy.PredictionResourcesCase

getPublicArtifactUri()

public abstract 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
Type	Description
String	The publicArtifactUri.

getPublicArtifactUriBytes()

public abstract 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
Type	Description
ByteString	The bytes for publicArtifactUri.

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
Type	Description
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
Type	Description
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
Type	Description
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
Type	Description
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
Type	Description
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
Type	Description
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
Type	Description
boolean	Whether the dedicatedResources field is set.

hasDeployMetadata()

public abstract boolean hasDeployMetadata()

Optional. Metadata information about this deployment config.

optional .google.cloud.aiplatform.v1beta1.PublisherModel.CallToAction.Deploy.DeployMetadata deploy_metadata = 11 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the deployMetadata field is set.

hasDeployTaskName()

public abstract 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
Type	Description
boolean	Whether the deployTaskName 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
Type	Description
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
Type	Description
boolean	Whether the sharedResources field is set.