Class VertexAiDeploymentResourcePoolDedicatedResources.Jsii$Proxy
- java.lang.Object
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- software.amazon.jsii.JsiiObject
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- com.hashicorp.cdktf.providers.google.vertex_ai_deployment_resource_pool.VertexAiDeploymentResourcePoolDedicatedResources.Jsii$Proxy
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- All Implemented Interfaces:
VertexAiDeploymentResourcePoolDedicatedResources,software.amazon.jsii.JsiiSerializable
- Enclosing interface:
- VertexAiDeploymentResourcePoolDedicatedResources
@Stability(Stable) @Internal public static final class VertexAiDeploymentResourcePoolDedicatedResources.Jsii$Proxy extends software.amazon.jsii.JsiiObject implements VertexAiDeploymentResourcePoolDedicatedResources
An implementation forVertexAiDeploymentResourcePoolDedicatedResources
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Nested Class Summary
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Nested classes/interfaces inherited from class software.amazon.jsii.JsiiObject
software.amazon.jsii.JsiiObject.InitializationMode
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Nested classes/interfaces inherited from interface com.hashicorp.cdktf.providers.google.vertex_ai_deployment_resource_pool.VertexAiDeploymentResourcePoolDedicatedResources
VertexAiDeploymentResourcePoolDedicatedResources.Builder, VertexAiDeploymentResourcePoolDedicatedResources.Jsii$Proxy
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Constructor Summary
Constructors Modifier Constructor Description protectedJsii$Proxy(VertexAiDeploymentResourcePoolDedicatedResources.Builder builder)Constructor that initializes the object based on literal property values passed by theVertexAiDeploymentResourcePoolDedicatedResources.Builder.protectedJsii$Proxy(software.amazon.jsii.JsiiObjectRef objRef)Constructor that initializes the object based on values retrieved from the JsiiObject.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description com.fasterxml.jackson.databind.JsonNode$jsii$toJson()booleanequals(Object o)ObjectgetAutoscalingMetricSpecs()autoscaling_metric_specs block.VertexAiDeploymentResourcePoolDedicatedResourcesMachineSpecgetMachineSpec()machine_spec block.NumbergetMaxReplicaCount()The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases.NumbergetMinReplicaCount()The minimum number of machine replicas this DeployedModel will be always deployed on.inthashCode()
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Constructor Detail
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Jsii$Proxy
protected Jsii$Proxy(software.amazon.jsii.JsiiObjectRef objRef)
Constructor that initializes the object based on values retrieved from the JsiiObject.- Parameters:
objRef- Reference to the JSII managed object.
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Jsii$Proxy
protected Jsii$Proxy(VertexAiDeploymentResourcePoolDedicatedResources.Builder builder)
Constructor that initializes the object based on literal property values passed by theVertexAiDeploymentResourcePoolDedicatedResources.Builder.
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Method Detail
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getMachineSpec
public final VertexAiDeploymentResourcePoolDedicatedResourcesMachineSpec getMachineSpec()
Description copied from interface:VertexAiDeploymentResourcePoolDedicatedResourcesmachine_spec block.Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_deployment_resource_pool#machine_spec VertexAiDeploymentResourcePool#machine_spec}
- Specified by:
getMachineSpecin interfaceVertexAiDeploymentResourcePoolDedicatedResources
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getMinReplicaCount
public final Number getMinReplicaCount()
Description copied from interface:VertexAiDeploymentResourcePoolDedicatedResourcesThe minimum number of machine replicas this DeployedModel will be always deployed on.This value must be greater than or equal to 1. If traffic against the DeployedModel increases, it may dynamically be deployed onto more replicas, and as traffic decreases, some of these extra replicas may be freed. Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_deployment_resource_pool#min_replica_count VertexAiDeploymentResourcePool#min_replica_count}
- Specified by:
getMinReplicaCountin interfaceVertexAiDeploymentResourcePoolDedicatedResources
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getAutoscalingMetricSpecs
public final Object getAutoscalingMetricSpecs()
Description copied from interface:VertexAiDeploymentResourcePoolDedicatedResourcesautoscaling_metric_specs block.Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_deployment_resource_pool#autoscaling_metric_specs VertexAiDeploymentResourcePool#autoscaling_metric_specs}
- Specified by:
getAutoscalingMetricSpecsin interfaceVertexAiDeploymentResourcePoolDedicatedResources
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getMaxReplicaCount
public final Number getMaxReplicaCount()
Description copied from interface:VertexAiDeploymentResourcePoolDedicatedResourcesThe maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases.If the requested value is too large, the deployment will error, but if deployment succeeds then the ability to scale the model to that many replicas is guaranteed (barring service outages). If traffic against the DeployedModel increases beyond what its replicas at maximum may handle, a portion of the traffic will be dropped. If this value is not provided, will use min_replica_count as the default value. The value of this field impacts the charge against Vertex CPU and GPU quotas. Specifically, you will be charged for max_replica_count * number of cores in the selected machine type) and (max_replica_count * number of GPUs per replica in the selected machine type). Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_deployment_resource_pool#max_replica_count VertexAiDeploymentResourcePool#max_replica_count}
- Specified by:
getMaxReplicaCountin interfaceVertexAiDeploymentResourcePoolDedicatedResources
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$jsii$toJson
@Internal public com.fasterxml.jackson.databind.JsonNode $jsii$toJson()
- Specified by:
$jsii$toJsonin interfacesoftware.amazon.jsii.JsiiSerializable
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