Google Cloud Ai Platform V1 Client - Class Deploy (1.0.0-RC1)

Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class Deploy.

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

Generated from protobuf message google.cloud.aiplatform.v1.PublisherModel.CallToAction.Deploy

Namespace

Google \ Cloud \ AIPlatform \ V1 \ PublisherModel \ CallToAction

Methods

__construct

Constructor.

Parameters
Name	Description
`data`	`array` Optional. Data for populating the Message object.
`↳ dedicated_resources`	`Google\Cloud\AIPlatform\V1\DedicatedResources` A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.
`↳ automatic_resources`	`Google\Cloud\AIPlatform\V1\AutomaticResources` A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.
`↳ shared_resources`	`string` The resource name of the shared DeploymentResourcePool to deploy on. Format: `projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`
`↳ model_display_name`	`string` Optional. Default model display name.
`↳ large_model_reference`	`Google\Cloud\AIPlatform\V1\LargeModelReference` Optional. Large model reference. When this is set, model_artifact_spec is not needed.
`↳ container_spec`	`Google\Cloud\AIPlatform\V1\ModelContainerSpec` Optional. The specification of the container that is to be used when deploying this Model in Vertex AI. Not present for Large Models.
`↳ artifact_uri`	`string` Optional. The path to the directory containing the Model artifact and any of its supporting files.
`↳ deploy_task_name`	`string` Optional. The name of the deploy task (e.g., "text to image generation").
`↳ title`	`string` Required. The title of the regional resource reference.
`↳ public_artifact_uri`	`string` Optional. The signed URI for ephemeral Cloud Storage access to model artifact.

getDedicatedResources

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

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\DedicatedResources\|null`

hasDedicatedResources

setDedicatedResources

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

Parameter
Name	Description
`var`	`Google\Cloud\AIPlatform\V1\DedicatedResources`

Returns
Type	Description
`$this`

getAutomaticResources

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

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\AutomaticResources\|null`

hasAutomaticResources

setAutomaticResources

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

Parameter
Name	Description
`var`	`Google\Cloud\AIPlatform\V1\AutomaticResources`

Returns
Type	Description
`$this`

getSharedResources

The resource name of the shared DeploymentResourcePool to deploy on.

Format: projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}

Returns
Type	Description
`string`

hasSharedResources

setSharedResources

The resource name of the shared DeploymentResourcePool to deploy on.

Format: projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}

Parameter
Name	Description
`var`	`string`

Returns
Type	Description
`$this`

getModelDisplayName

Optional. Default model display name.

Returns
Type	Description
`string`

setModelDisplayName

Optional. Default model display name.

Parameter
Name	Description
`var`	`string`

Returns
Type	Description
`$this`

getLargeModelReference

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

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\LargeModelReference\|null`

hasLargeModelReference

clearLargeModelReference

setLargeModelReference

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

Parameter
Name	Description
`var`	`Google\Cloud\AIPlatform\V1\LargeModelReference`

Returns
Type	Description
`$this`

getContainerSpec

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

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\ModelContainerSpec\|null`

hasContainerSpec

clearContainerSpec

setContainerSpec

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

Parameter
Name	Description
`var`	`Google\Cloud\AIPlatform\V1\ModelContainerSpec`

Returns
Type	Description
`$this`

getArtifactUri

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

Returns
Type	Description
`string`

setArtifactUri

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

Parameter
Name	Description
`var`	`string`

Returns
Type	Description
`$this`

getDeployTaskName

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

Returns
Type	Description
`string`

hasDeployTaskName

clearDeployTaskName

setDeployTaskName

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

Parameter
Name	Description
`var`	`string`

Returns
Type	Description
`$this`

getTitle

Required. The title of the regional resource reference.

Returns
Type	Description
`string`

setTitle

Required. The title of the regional resource reference.

Parameter
Name	Description
`var`	`string`

Returns
Type	Description
`$this`

getPublicArtifactUri

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

Returns
Type	Description
`string`

setPublicArtifactUri

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

Parameter
Name	Description
`var`	`string`

Returns
Type	Description
`$this`

getPredictionResources

Returns
Type	Description
`string`