# frozen_string_literal: true # Generated by the protocol buffer compiler. DO NOT EDIT! # source: google/cloud/aiplatform/v1/tuning_job.proto require 'google/protobuf' require 'google/api/field_behavior_pb' require 'google/api/resource_pb' require 'google/cloud/aiplatform/v1/content_pb' require 'google/cloud/aiplatform/v1/encryption_spec_pb' require 'google/cloud/aiplatform/v1/job_state_pb' require 'google/protobuf/timestamp_pb' require 'google/rpc/status_pb' descriptor_data = "\n+google/cloud/aiplatform/v1/tuning_job.proto\x12\x1agoogle.cloud.aiplatform.v1\x1a\x1fgoogle/api/field_behavior.proto\x1a\x19google/api/resource.proto\x1a(google/cloud/aiplatform/v1/content.proto\x1a\x30google/cloud/aiplatform/v1/encryption_spec.proto\x1a*google/cloud/aiplatform/v1/job_state.proto\x1a\x1fgoogle/protobuf/timestamp.proto\x1a\x17google/rpc/status.proto\"\xae\x08\n\tTuningJob\x12\x14\n\nbase_model\x18\x04 \x01(\tH\x00\x12R\n\x16supervised_tuning_spec\x18\x05 \x01(\x0b\x32\x30.google.cloud.aiplatform.v1.SupervisedTuningSpecH\x01\x12\x14\n\x04name\x18\x01 \x01(\tB\x06\xe0\x41\x08\xe0\x41\x03\x12%\n\x18tuned_model_display_name\x18\x02 \x01(\tB\x03\xe0\x41\x01\x12\x18\n\x0b\x64\x65scription\x18\x03 \x01(\tB\x03\xe0\x41\x01\x12\x38\n\x05state\x18\x06 \x01(\x0e\x32$.google.cloud.aiplatform.v1.JobStateB\x03\xe0\x41\x03\x12\x34\n\x0b\x63reate_time\x18\x07 \x01(\x0b\x32\x1a.google.protobuf.TimestampB\x03\xe0\x41\x03\x12\x33\n\nstart_time\x18\x08 \x01(\x0b\x32\x1a.google.protobuf.TimestampB\x03\xe0\x41\x03\x12\x31\n\x08\x65nd_time\x18\t \x01(\x0b\x32\x1a.google.protobuf.TimestampB\x03\xe0\x41\x03\x12\x34\n\x0bupdate_time\x18\n \x01(\x0b\x32\x1a.google.protobuf.TimestampB\x03\xe0\x41\x03\x12&\n\x05\x65rror\x18\x0b \x01(\x0b\x32\x12.google.rpc.StatusB\x03\xe0\x41\x03\x12\x46\n\x06labels\x18\x0c \x03(\x0b\x32\x31.google.cloud.aiplatform.v1.TuningJob.LabelsEntryB\x03\xe0\x41\x01\x12=\n\nexperiment\x18\r \x01(\tB)\xe0\x41\x03\xfa\x41#\n!aiplatform.googleapis.com/Context\x12@\n\x0btuned_model\x18\x0e \x01(\x0b\x32&.google.cloud.aiplatform.v1.TunedModelB\x03\xe0\x41\x03\x12K\n\x11tuning_data_stats\x18\x0f \x01(\x0b\x32+.google.cloud.aiplatform.v1.TuningDataStatsB\x03\xe0\x41\x03\x12\x43\n\x0f\x65ncryption_spec\x18\x10 \x01(\x0b\x32*.google.cloud.aiplatform.v1.EncryptionSpec\x1a-\n\x0bLabelsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01:\x80\x01\xea\x41}\n#aiplatform.googleapis.com/TuningJob\x12?projects/{project}/locations/{location}/tuningJobs/{tuning_job}*\ntuningJobs2\ttuningJobB\x0e\n\x0csource_modelB\r\n\x0btuning_spec\"\x82\x01\n\nTunedModel\x12\x36\n\x05model\x18\x01 \x01(\tB\'\xe0\x41\x03\xfa\x41!\n\x1f\x61iplatform.googleapis.com/Model\x12<\n\x08\x65ndpoint\x18\x02 \x01(\tB*\xe0\x41\x03\xfa\x41$\n\"aiplatform.googleapis.com/Endpoint\"\xf2\x02\n#SupervisedTuningDatasetDistribution\x12\x10\n\x03sum\x18\x01 \x01(\x03\x42\x03\xe0\x41\x03\x12\x19\n\x0c\x62illable_sum\x18\t \x01(\x03\x42\x03\xe0\x41\x03\x12\x10\n\x03min\x18\x02 \x01(\x01\x42\x03\xe0\x41\x03\x12\x10\n\x03max\x18\x03 \x01(\x01\x42\x03\xe0\x41\x03\x12\x11\n\x04mean\x18\x04 \x01(\x01\x42\x03\xe0\x41\x03\x12\x13\n\x06median\x18\x05 \x01(\x01\x42\x03\xe0\x41\x03\x12\x0f\n\x02p5\x18\x06 \x01(\x01\x42\x03\xe0\x41\x03\x12\x10\n\x03p95\x18\x07 \x01(\x01\x42\x03\xe0\x41\x03\x12\x63\n\x07\x62uckets\x18\x08 \x03(\x0b\x32M.google.cloud.aiplatform.v1.SupervisedTuningDatasetDistribution.DatasetBucketB\x03\xe0\x41\x03\x1aJ\n\rDatasetBucket\x12\x12\n\x05\x63ount\x18\x01 \x01(\x01\x42\x03\xe0\x41\x03\x12\x11\n\x04left\x18\x02 \x01(\x01\x42\x03\xe0\x41\x03\x12\x12\n\x05right\x18\x03 \x01(\x01\x42\x03\xe0\x41\x03\"\xcc\x05\n\x19SupervisedTuningDataStats\x12)\n\x1ctuning_dataset_example_count\x18\x01 \x01(\x03\x42\x03\xe0\x41\x03\x12)\n\x1ctotal_tuning_character_count\x18\x02 \x01(\x03\x42\x03\xe0\x41\x03\x12-\n\x1etotal_billable_character_count\x18\x03 \x01(\x03\x42\x05\x18\x01\xe0\x41\x03\x12\'\n\x1atotal_billable_token_count\x18\t \x01(\x03\x42\x03\xe0\x41\x03\x12\x1e\n\x11tuning_step_count\x18\x04 \x01(\x03\x42\x03\xe0\x41\x03\x12k\n\x1duser_input_token_distribution\x18\x05 \x01(\x0b\x32?.google.cloud.aiplatform.v1.SupervisedTuningDatasetDistributionB\x03\xe0\x41\x03\x12l\n\x1euser_output_token_distribution\x18\x06 \x01(\x0b\x32?.google.cloud.aiplatform.v1.SupervisedTuningDatasetDistributionB\x03\xe0\x41\x03\x12s\n%user_message_per_example_distribution\x18\x07 \x01(\x0b\x32?.google.cloud.aiplatform.v1.SupervisedTuningDatasetDistributionB\x03\xe0\x41\x03\x12G\n\x15user_dataset_examples\x18\x08 \x03(\x0b\x32#.google.cloud.aiplatform.v1.ContentB\x03\xe0\x41\x03\x12%\n\x1dtotal_truncated_example_count\x18\n \x01(\x03\x12!\n\x19truncated_example_indices\x18\x0b \x03(\x03\"\x85\x01\n\x0fTuningDataStats\x12]\n\x1csupervised_tuning_data_stats\x18\x01 \x01(\x0b\x32\x35.google.cloud.aiplatform.v1.SupervisedTuningDataStatsH\x00\x42\x13\n\x11tuning_data_stats\"\xc7\x02\n\x19SupervisedHyperParameters\x12\x18\n\x0b\x65poch_count\x18\x01 \x01(\x03\x42\x03\xe0\x41\x01\x12%\n\x18learning_rate_multiplier\x18\x02 \x01(\x01\x42\x03\xe0\x41\x01\x12\\\n\x0c\x61\x64\x61pter_size\x18\x03 \x01(\x0e\x32\x41.google.cloud.aiplatform.v1.SupervisedHyperParameters.AdapterSizeB\x03\xe0\x41\x01\"\x8a\x01\n\x0b\x41\x64\x61pterSize\x12\x1c\n\x18\x41\x44\x41PTER_SIZE_UNSPECIFIED\x10\x00\x12\x14\n\x10\x41\x44\x41PTER_SIZE_ONE\x10\x01\x12\x15\n\x11\x41\x44\x41PTER_SIZE_FOUR\x10\x02\x12\x16\n\x12\x41\x44\x41PTER_SIZE_EIGHT\x10\x03\x12\x18\n\x14\x41\x44\x41PTER_SIZE_SIXTEEN\x10\x04\"\xb4\x01\n\x14SupervisedTuningSpec\x12!\n\x14training_dataset_uri\x18\x01 \x01(\tB\x03\xe0\x41\x02\x12#\n\x16validation_dataset_uri\x18\x02 \x01(\tB\x03\xe0\x41\x01\x12T\n\x10hyper_parameters\x18\x03 \x01(\x0b\x32\x35.google.cloud.aiplatform.v1.SupervisedHyperParametersB\x03\xe0\x41\x01\x42\xcc\x01\n\x1e\x63om.google.cloud.aiplatform.v1B\x0eTuningJobProtoP\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.protobuf.Timestamp", "google/protobuf/timestamp.proto"], ["google.rpc.Status", "google/rpc/status.proto"], ["google.cloud.aiplatform.v1.EncryptionSpec", "google/cloud/aiplatform/v1/encryption_spec.proto"], ["google.cloud.aiplatform.v1.Content", "google/cloud/aiplatform/v1/content.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 TuningJob = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.TuningJob").msgclass TunedModel = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.TunedModel").msgclass SupervisedTuningDatasetDistribution = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.SupervisedTuningDatasetDistribution").msgclass SupervisedTuningDatasetDistribution::DatasetBucket = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.SupervisedTuningDatasetDistribution.DatasetBucket").msgclass SupervisedTuningDataStats = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.SupervisedTuningDataStats").msgclass TuningDataStats = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.TuningDataStats").msgclass SupervisedHyperParameters = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.SupervisedHyperParameters").msgclass SupervisedHyperParameters::AdapterSize = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.SupervisedHyperParameters.AdapterSize").enummodule SupervisedTuningSpec = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.SupervisedTuningSpec").msgclass end end end end