Interface ResourcePoolOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
ResourcePool, ResourcePool.Builder

@Generated public interface ResourcePoolOrBuilder extends com.google.protobuf.MessageOrBuilder
  • Method Details

    • getId

      String getId()
       Immutable. The unique ID in a PersistentResource for referring to this
       resource pool. User can specify it if necessary. Otherwise, it's generated
       automatically.
       
      string id = 1 [(.google.api.field_behavior) = IMMUTABLE];
      Returns:
      The id.
    • getIdBytes

      com.google.protobuf.ByteString getIdBytes()
       Immutable. The unique ID in a PersistentResource for referring to this
       resource pool. User can specify it if necessary. Otherwise, it's generated
       automatically.
       
      string id = 1 [(.google.api.field_behavior) = IMMUTABLE];
      Returns:
      The bytes for id.
    • hasMachineSpec

      boolean hasMachineSpec()
       Required. Immutable. The specification of a single machine.
       
      .google.cloud.aiplatform.v1.MachineSpec machine_spec = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
      Returns:
      Whether the machineSpec field is set.
    • getMachineSpec

      MachineSpec getMachineSpec()
       Required. Immutable. The specification of a single machine.
       
      .google.cloud.aiplatform.v1.MachineSpec machine_spec = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
      Returns:
      The machineSpec.
    • getMachineSpecOrBuilder

      MachineSpecOrBuilder getMachineSpecOrBuilder()
       Required. Immutable. The specification of a single machine.
       
      .google.cloud.aiplatform.v1.MachineSpec machine_spec = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
    • hasReplicaCount

      boolean hasReplicaCount()
       Optional. The total number of machines to use for this resource pool.
       
      optional int64 replica_count = 3 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      Whether the replicaCount field is set.
    • getReplicaCount

      long getReplicaCount()
       Optional. The total number of machines to use for this resource pool.
       
      optional int64 replica_count = 3 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The replicaCount.
    • hasDiskSpec

      boolean hasDiskSpec()
       Optional. Disk spec for the machine in this node pool.
       
      .google.cloud.aiplatform.v1.DiskSpec disk_spec = 4 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      Whether the diskSpec field is set.
    • getDiskSpec

      DiskSpec getDiskSpec()
       Optional. Disk spec for the machine in this node pool.
       
      .google.cloud.aiplatform.v1.DiskSpec disk_spec = 4 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The diskSpec.
    • getDiskSpecOrBuilder

      DiskSpecOrBuilder getDiskSpecOrBuilder()
       Optional. Disk spec for the machine in this node pool.
       
      .google.cloud.aiplatform.v1.DiskSpec disk_spec = 4 [(.google.api.field_behavior) = OPTIONAL];
    • getUsedReplicaCount

      long getUsedReplicaCount()
       Output only. The number of machines currently in use by training jobs for
       this resource pool. Will replace idle_replica_count.
       
      int64 used_replica_count = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The usedReplicaCount.
    • hasAutoscalingSpec

      boolean hasAutoscalingSpec()
       Optional. Optional spec to configure GKE or Ray-on-Vertex autoscaling
       
      .google.cloud.aiplatform.v1.ResourcePool.AutoscalingSpec autoscaling_spec = 7 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      Whether the autoscalingSpec field is set.
    • getAutoscalingSpec

      ResourcePool.AutoscalingSpec getAutoscalingSpec()
       Optional. Optional spec to configure GKE or Ray-on-Vertex autoscaling
       
      .google.cloud.aiplatform.v1.ResourcePool.AutoscalingSpec autoscaling_spec = 7 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The autoscalingSpec.
    • getAutoscalingSpecOrBuilder

      ResourcePool.AutoscalingSpecOrBuilder getAutoscalingSpecOrBuilder()
       Optional. Optional spec to configure GKE or Ray-on-Vertex autoscaling
       
      .google.cloud.aiplatform.v1.ResourcePool.AutoscalingSpec autoscaling_spec = 7 [(.google.api.field_behavior) = OPTIONAL];