# frozen_string_literal: true
# Generated by the protocol buffer compiler.  DO NOT EDIT!
# source: google/cloud/aiplatform/v1/machine_resources.proto

require 'google/protobuf'

require 'google/api/field_behavior_pb'
require 'google/cloud/aiplatform/v1/accelerator_type_pb'
require 'google/cloud/aiplatform/v1/reservation_affinity_pb'


descriptor_data = "\n2google/cloud/aiplatform/v1/machine_resources.proto\x12\x1agoogle.cloud.aiplatform.v1\x1a\x1fgoogle/api/field_behavior.proto\x1a\x31google/cloud/aiplatform/v1/accelerator_type.proto\x1a\x35google/cloud/aiplatform/v1/reservation_affinity.proto\"\x81\x02\n\x0bMachineSpec\x12\x19\n\x0cmachine_type\x18\x01 \x01(\tB\x03\xe0\x41\x05\x12J\n\x10\x61\x63\x63\x65lerator_type\x18\x02 \x01(\x0e\x32+.google.cloud.aiplatform.v1.AcceleratorTypeB\x03\xe0\x41\x05\x12\x19\n\x11\x61\x63\x63\x65lerator_count\x18\x03 \x01(\x05\x12\x19\n\x0ctpu_topology\x18\x04 \x01(\tB\x03\xe0\x41\x05\x12U\n\x14reservation_affinity\x18\x05 \x01(\x0b\x32/.google.cloud.aiplatform.v1.ReservationAffinityB\x06\xe0\x41\x05\xe0\x41\x01\"\xb0\x02\n\x12\x44\x65\x64icatedResources\x12\x45\n\x0cmachine_spec\x18\x01 \x01(\x0b\x32\'.google.cloud.aiplatform.v1.MachineSpecB\x06\xe0\x41\x02\xe0\x41\x05\x12!\n\x11min_replica_count\x18\x02 \x01(\x05\x42\x06\xe0\x41\x02\xe0\x41\x05\x12\x1e\n\x11max_replica_count\x18\x03 \x01(\x05\x42\x03\xe0\x41\x05\x12#\n\x16required_replica_count\x18\t \x01(\x05\x42\x03\xe0\x41\x01\x12X\n\x18\x61utoscaling_metric_specs\x18\x04 \x03(\x0b\x32\x31.google.cloud.aiplatform.v1.AutoscalingMetricSpecB\x03\xe0\x41\x05\x12\x11\n\x04spot\x18\x05 \x01(\x08\x42\x03\xe0\x41\x01\"T\n\x12\x41utomaticResources\x12\x1e\n\x11min_replica_count\x18\x01 \x01(\x05\x42\x03\xe0\x41\x05\x12\x1e\n\x11max_replica_count\x18\x02 \x01(\x05\x42\x03\xe0\x41\x05\"\xa5\x01\n\x17\x42\x61tchDedicatedResources\x12\x45\n\x0cmachine_spec\x18\x01 \x01(\x0b\x32\'.google.cloud.aiplatform.v1.MachineSpecB\x06\xe0\x41\x02\xe0\x41\x05\x12#\n\x16starting_replica_count\x18\x02 \x01(\x05\x42\x03\xe0\x41\x05\x12\x1e\n\x11max_replica_count\x18\x03 \x01(\x05\x42\x03\xe0\x41\x05\"/\n\x11ResourcesConsumed\x12\x1a\n\rreplica_hours\x18\x01 \x01(\x01\x42\x03\xe0\x41\x03\"=\n\x08\x44iskSpec\x12\x16\n\x0e\x62oot_disk_type\x18\x01 \x01(\t\x12\x19\n\x11\x62oot_disk_size_gb\x18\x02 \x01(\x05\"=\n\x12PersistentDiskSpec\x12\x11\n\tdisk_type\x18\x01 \x01(\t\x12\x14\n\x0c\x64isk_size_gb\x18\x02 \x01(\x03\"L\n\x08NfsMount\x12\x13\n\x06server\x18\x01 \x01(\tB\x03\xe0\x41\x02\x12\x11\n\x04path\x18\x02 \x01(\tB\x03\xe0\x41\x02\x12\x18\n\x0bmount_point\x18\x03 \x01(\tB\x03\xe0\x41\x02\"A\n\x15\x41utoscalingMetricSpec\x12\x18\n\x0bmetric_name\x18\x01 \x01(\tB\x03\xe0\x41\x02\x12\x0e\n\x06target\x18\x02 \x01(\x05\".\n\x10ShieldedVmConfig\x12\x1a\n\x12\x65nable_secure_boot\x18\x01 \x01(\x08\x42\xd3\x01\n\x1e\x63om.google.cloud.aiplatform.v1B\x15MachineResourcesProtoP\x01Z>cloud.google.com/go/aiplatform/apiv1/aiplatformpb;aiplatformpb\xaa\x02\x1aGoogle.Cloud.AIPlatform.V1\xca\x02\x1aGoogle\\Cloud\\AIPlatform\\V1\xea\x02\x1dGoogle::Cloud::AIPlatform::V1b\x06proto3"

pool = Google::Protobuf::DescriptorPool.generated_pool

begin
  pool.add_serialized_file(descriptor_data)
rescue TypeError
  # Compatibility code: will be removed in the next major version.
  require 'google/protobuf/descriptor_pb'
  parsed = Google::Protobuf::FileDescriptorProto.decode(descriptor_data)
  parsed.clear_dependency
  serialized = parsed.class.encode(parsed)
  file = pool.add_serialized_file(serialized)
  warn "Warning: Protobuf detected an import path issue while loading generated file #{__FILE__}"
  imports = [
    ["google.cloud.aiplatform.v1.ReservationAffinity", "google/cloud/aiplatform/v1/reservation_affinity.proto"],
  ]
  imports.each do |type_name, expected_filename|
    import_file = pool.lookup(type_name).file_descriptor
    if import_file.name != expected_filename
      warn "- #{file.name} imports #{expected_filename}, but that import was loaded as #{import_file.name}"
    end
  end
  warn "Each proto file must use a consistent fully-qualified name."
  warn "This will become an error in the next major version."
end

module Google
  module Cloud
    module AIPlatform
      module V1
        MachineSpec = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.MachineSpec").msgclass
        DedicatedResources = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.DedicatedResources").msgclass
        AutomaticResources = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.AutomaticResources").msgclass
        BatchDedicatedResources = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.BatchDedicatedResources").msgclass
        ResourcesConsumed = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.ResourcesConsumed").msgclass
        DiskSpec = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.DiskSpec").msgclass
        PersistentDiskSpec = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.PersistentDiskSpec").msgclass
        NfsMount = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.NfsMount").msgclass
        AutoscalingMetricSpec = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.AutoscalingMetricSpec").msgclass
        ShieldedVmConfig = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.ShieldedVmConfig").msgclass
      end
    end
  end
end
