com.google.cloud.aiplatform.v1beta1

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 Summary

Modifier and Type	Method and Description
String	getArtifactUri() Optional.
com.google.protobuf.ByteString	getArtifactUriBytes() Optional.
AutomaticResources	getAutomaticResources() A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.
AutomaticResourcesOrBuilder	getAutomaticResourcesOrBuilder() A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.
ModelContainerSpec	getContainerSpec() Optional.
ModelContainerSpecOrBuilder	getContainerSpecOrBuilder() Optional.
DedicatedResources	getDedicatedResources() A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.
DedicatedResourcesOrBuilder	getDedicatedResourcesOrBuilder() A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.
PublisherModel.CallToAction.Deploy.DeployMetadata	getDeployMetadata() Optional.
PublisherModel.CallToAction.Deploy.DeployMetadataOrBuilder	getDeployMetadataOrBuilder() Optional.
String	getDeployTaskName() Optional.
com.google.protobuf.ByteString	getDeployTaskNameBytes() Optional.
LargeModelReference	getLargeModelReference() Optional.
LargeModelReferenceOrBuilder	getLargeModelReferenceOrBuilder() Optional.
String	getModelDisplayName() Optional.
com.google.protobuf.ByteString	getModelDisplayNameBytes() Optional.
PublisherModel.CallToAction.Deploy.PredictionResourcesCase	getPredictionResourcesCase()
String	getPublicArtifactUri() Optional.
com.google.protobuf.ByteString	getPublicArtifactUriBytes() Optional.
String	getSharedResources() The resource name of the shared DeploymentResourcePool to deploy on.
com.google.protobuf.ByteString	getSharedResourcesBytes() The resource name of the shared DeploymentResourcePool to deploy on.
String	getTitle() Required.
com.google.protobuf.ByteString	getTitleBytes() Required.
boolean	hasAutomaticResources() A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.
boolean	hasContainerSpec() Optional.
boolean	hasDedicatedResources() A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.
boolean	hasDeployMetadata() Optional.
boolean	hasDeployTaskName() Optional.
boolean	hasLargeModelReference() Optional.
boolean	hasSharedResources() The resource name of the shared DeploymentResourcePool to deploy on.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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()