Enum googapis::google::cloud::aiplatform::v1beta1::deployed_model::PredictionResources

pub enum PredictionResources {
    DedicatedResources(DedicatedResources),
    AutomaticResources(AutomaticResources),
}

The prediction (for example, the machine) resources that the DeployedModel uses. The user is billed for the resources (at least their minimal amount) even if the DeployedModel receives no traffic. Not all Models support all resources types. See [Model.supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types].

Variants

DedicatedResources(DedicatedResources)

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

Tuple Fields of DedicatedResources

0: DedicatedResources

AutomaticResources(AutomaticResources)

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

Tuple Fields of AutomaticResources

0: AutomaticResources

Implementations

impl PredictionResources

pub fn encode<B>(&self, buf: &mut B) where
    B: BufMut, 

pub fn merge<B>(
    field: &mut Option<PredictionResources>,
    tag: u32,
    wire_type: WireType,
    buf: &mut B,
    ctx: DecodeContext
) -> Result<(), DecodeError> where
    B: Buf, 

pub fn encoded_len(&self) -> usize

Trait Implementations

impl Clone for PredictionResources

fn clone(&self) -> PredictionResources

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for PredictionResources

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq<PredictionResources> for PredictionResources

fn eq(&self, other: &PredictionResources) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &PredictionResources) -> bool

This method tests for !=.

impl StructuralPartialEq for PredictionResources