public static final class AutomaticResources.Builder extends GeneratedMessageV3.Builder<AutomaticResources.Builder> implements AutomaticResourcesOrBuilder
A description of resources that to large degree are decided by Vertex AI,
and require only a modest additional configuration.
Each Model supporting these resources documents its specific guidelines.
Protobuf type google.cloud.aiplatform.v1beta1.AutomaticResources
Methods
public AutomaticResources.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
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public AutomaticResources build()
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public AutomaticResources buildPartial()
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public AutomaticResources.Builder clear()
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public AutomaticResources.Builder clearField(Descriptors.FieldDescriptor field)
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public AutomaticResources.Builder clearMaxReplicaCount()
Immutable. The 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, a no upper bound for scaling under heavy
traffic will be assume, though Vertex AI may be unable to scale beyond
certain replica number.
int32 max_replica_count = 2 [(.google.api.field_behavior) = IMMUTABLE];
public AutomaticResources.Builder clearMinReplicaCount()
Immutable. The minimum number of replicas this DeployedModel will be always deployed
on. If traffic against it increases, it may dynamically be deployed onto
more replicas up to max_replica_count, and as traffic decreases, some
of these extra replicas may be freed.
If the requested value is too large, the deployment will error.
int32 min_replica_count = 1 [(.google.api.field_behavior) = IMMUTABLE];
public AutomaticResources.Builder clearOneof(Descriptors.OneofDescriptor oneof)
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public AutomaticResources.Builder clone()
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public AutomaticResources getDefaultInstanceForType()
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public static final Descriptors.Descriptor getDescriptor()
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public Descriptors.Descriptor getDescriptorForType()
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public int getMaxReplicaCount()
Immutable. The 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, a no upper bound for scaling under heavy
traffic will be assume, though Vertex AI may be unable to scale beyond
certain replica number.
int32 max_replica_count = 2 [(.google.api.field_behavior) = IMMUTABLE];
| Type | Description |
| int | The maxReplicaCount.
|
public int getMinReplicaCount()
Immutable. The minimum number of replicas this DeployedModel will be always deployed
on. If traffic against it increases, it may dynamically be deployed onto
more replicas up to max_replica_count, and as traffic decreases, some
of these extra replicas may be freed.
If the requested value is too large, the deployment will error.
int32 min_replica_count = 1 [(.google.api.field_behavior) = IMMUTABLE];
| Type | Description |
| int | The minReplicaCount.
|
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
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public final boolean isInitialized()
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public AutomaticResources.Builder mergeFrom(AutomaticResources other)
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public AutomaticResources.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
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Exceptions
public AutomaticResources.Builder mergeFrom(Message other)
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public final AutomaticResources.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
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public AutomaticResources.Builder setField(Descriptors.FieldDescriptor field, Object value)
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public AutomaticResources.Builder setMaxReplicaCount(int value)
Immutable. The 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, a no upper bound for scaling under heavy
traffic will be assume, though Vertex AI may be unable to scale beyond
certain replica number.
int32 max_replica_count = 2 [(.google.api.field_behavior) = IMMUTABLE];
| Name | Description |
| value | int
The maxReplicaCount to set.
|
Returns
public AutomaticResources.Builder setMinReplicaCount(int value)
Immutable. The minimum number of replicas this DeployedModel will be always deployed
on. If traffic against it increases, it may dynamically be deployed onto
more replicas up to max_replica_count, and as traffic decreases, some
of these extra replicas may be freed.
If the requested value is too large, the deployment will error.
int32 min_replica_count = 1 [(.google.api.field_behavior) = IMMUTABLE];
| Name | Description |
| value | int
The minReplicaCount to set.
|
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public AutomaticResources.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
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public final AutomaticResources.Builder setUnknownFields(UnknownFieldSet unknownFields)
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