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
Static Methods
public static final Descriptors.Descriptor getDescriptor()
Returns
Methods
public AutomaticResources.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Returns
Overrides
public AutomaticResources build()
Returns
public AutomaticResources buildPartial()
Returns
public AutomaticResources.Builder clear()
Returns
Overrides
public AutomaticResources.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Returns
Overrides
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)
Parameter
Returns
Overrides
public AutomaticResources.Builder clone()
Returns
Overrides
public AutomaticResources getDefaultInstanceForType()
Returns
public Descriptors.Descriptor getDescriptorForType()
Returns
Overrides
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()
Returns
Overrides
public final boolean isInitialized()
Returns
Overrides
public AutomaticResources.Builder mergeFrom(AutomaticResources other)
Parameter
Returns
public AutomaticResources.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Overrides
Exceptions
public AutomaticResources.Builder mergeFrom(Message other)
Parameter
Returns
Overrides
public final AutomaticResources.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Returns
Overrides
public AutomaticResources.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Returns
Overrides
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.
|
Returns
public AutomaticResources.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Returns
Overrides
public final AutomaticResources.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Returns
Overrides
