| // Copyright 2024 Google LLC |
| // |
| // Licensed under the Apache License, Version 2.0 (the "License"); |
| // you may not use this file except in compliance with the License. |
| // You may obtain a copy of the License at |
| // |
| // http://www.apache.org/licenses/LICENSE-2.0 |
| // |
| // Unless required by applicable law or agreed to in writing, software |
| // distributed under the License is distributed on an "AS IS" BASIS, |
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| // See the License for the specific language governing permissions and |
| // limitations under the License. |
| |
| // Code generated by protoc-gen-go. DO NOT EDIT. |
| // versions: |
| // protoc-gen-go v1.33.0 |
| // protoc v4.25.3 |
| // source: google/cloud/aiplatform/v1/tuning_job.proto |
| |
| package aiplatformpb |
| |
| import ( |
| reflect "reflect" |
| sync "sync" |
| |
| _ "google.golang.org/genproto/googleapis/api/annotations" |
| status "google.golang.org/genproto/googleapis/rpc/status" |
| protoreflect "google.golang.org/protobuf/reflect/protoreflect" |
| protoimpl "google.golang.org/protobuf/runtime/protoimpl" |
| timestamppb "google.golang.org/protobuf/types/known/timestamppb" |
| ) |
| |
| const ( |
| // Verify that this generated code is sufficiently up-to-date. |
| _ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion) |
| // Verify that runtime/protoimpl is sufficiently up-to-date. |
| _ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20) |
| ) |
| |
| // Supported adapter sizes for tuning. |
| type SupervisedHyperParameters_AdapterSize int32 |
| |
| const ( |
| // Adapter size is unspecified. |
| SupervisedHyperParameters_ADAPTER_SIZE_UNSPECIFIED SupervisedHyperParameters_AdapterSize = 0 |
| // Adapter size 1. |
| SupervisedHyperParameters_ADAPTER_SIZE_ONE SupervisedHyperParameters_AdapterSize = 1 |
| // Adapter size 4. |
| SupervisedHyperParameters_ADAPTER_SIZE_FOUR SupervisedHyperParameters_AdapterSize = 2 |
| // Adapter size 8. |
| SupervisedHyperParameters_ADAPTER_SIZE_EIGHT SupervisedHyperParameters_AdapterSize = 3 |
| // Adapter size 16. |
| SupervisedHyperParameters_ADAPTER_SIZE_SIXTEEN SupervisedHyperParameters_AdapterSize = 4 |
| ) |
| |
| // Enum value maps for SupervisedHyperParameters_AdapterSize. |
| var ( |
| SupervisedHyperParameters_AdapterSize_name = map[int32]string{ |
| 0: "ADAPTER_SIZE_UNSPECIFIED", |
| 1: "ADAPTER_SIZE_ONE", |
| 2: "ADAPTER_SIZE_FOUR", |
| 3: "ADAPTER_SIZE_EIGHT", |
| 4: "ADAPTER_SIZE_SIXTEEN", |
| } |
| SupervisedHyperParameters_AdapterSize_value = map[string]int32{ |
| "ADAPTER_SIZE_UNSPECIFIED": 0, |
| "ADAPTER_SIZE_ONE": 1, |
| "ADAPTER_SIZE_FOUR": 2, |
| "ADAPTER_SIZE_EIGHT": 3, |
| "ADAPTER_SIZE_SIXTEEN": 4, |
| } |
| ) |
| |
| func (x SupervisedHyperParameters_AdapterSize) Enum() *SupervisedHyperParameters_AdapterSize { |
| p := new(SupervisedHyperParameters_AdapterSize) |
| *p = x |
| return p |
| } |
| |
| func (x SupervisedHyperParameters_AdapterSize) String() string { |
| return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x)) |
| } |
| |
| func (SupervisedHyperParameters_AdapterSize) Descriptor() protoreflect.EnumDescriptor { |
| return file_google_cloud_aiplatform_v1_tuning_job_proto_enumTypes[0].Descriptor() |
| } |
| |
| func (SupervisedHyperParameters_AdapterSize) Type() protoreflect.EnumType { |
| return &file_google_cloud_aiplatform_v1_tuning_job_proto_enumTypes[0] |
| } |
| |
| func (x SupervisedHyperParameters_AdapterSize) Number() protoreflect.EnumNumber { |
| return protoreflect.EnumNumber(x) |
| } |
| |
| // Deprecated: Use SupervisedHyperParameters_AdapterSize.Descriptor instead. |
| func (SupervisedHyperParameters_AdapterSize) EnumDescriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_tuning_job_proto_rawDescGZIP(), []int{5, 0} |
| } |
| |
| // Represents a TuningJob that runs with Google owned models. |
| type TuningJob struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Types that are assignable to SourceModel: |
| // |
| // *TuningJob_BaseModel |
| SourceModel isTuningJob_SourceModel `protobuf_oneof:"source_model"` |
| // Types that are assignable to TuningSpec: |
| // |
| // *TuningJob_SupervisedTuningSpec |
| TuningSpec isTuningJob_TuningSpec `protobuf_oneof:"tuning_spec"` |
| // Output only. Identifier. Resource name of a TuningJob. Format: |
| // `projects/{project}/locations/{location}/tuningJobs/{tuning_job}` |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| // Optional. The display name of the |
| // [TunedModel][google.cloud.aiplatform.v1.Model]. The name can be up to |
| // 128 characters long and can consist of any UTF-8 characters. |
| TunedModelDisplayName string `protobuf:"bytes,2,opt,name=tuned_model_display_name,json=tunedModelDisplayName,proto3" json:"tuned_model_display_name,omitempty"` |
| // Optional. The description of the |
| // [TuningJob][google.cloud.aiplatform.v1.TuningJob]. |
| Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"` |
| // Output only. The detailed state of the job. |
| State JobState `protobuf:"varint,6,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.JobState" json:"state,omitempty"` |
| // Output only. Time when the |
| // [TuningJob][google.cloud.aiplatform.v1.TuningJob] was created. |
| CreateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"` |
| // Output only. Time when the |
| // [TuningJob][google.cloud.aiplatform.v1.TuningJob] for the first time |
| // entered the `JOB_STATE_RUNNING` state. |
| StartTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"` |
| // Output only. Time when the TuningJob entered any of the following |
| // [JobStates][google.cloud.aiplatform.v1.JobState]: `JOB_STATE_SUCCEEDED`, |
| // `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`, `JOB_STATE_EXPIRED`. |
| EndTime *timestamppb.Timestamp `protobuf:"bytes,9,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"` |
| // Output only. Time when the |
| // [TuningJob][google.cloud.aiplatform.v1.TuningJob] was most recently |
| // updated. |
| UpdateTime *timestamppb.Timestamp `protobuf:"bytes,10,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"` |
| // Output only. Only populated when job's state is `JOB_STATE_FAILED` or |
| // `JOB_STATE_CANCELLED`. |
| Error *status.Status `protobuf:"bytes,11,opt,name=error,proto3" json:"error,omitempty"` |
| // Optional. The labels with user-defined metadata to organize |
| // [TuningJob][google.cloud.aiplatform.v1.TuningJob] and generated resources |
| // such as [Model][google.cloud.aiplatform.v1.Model] and |
| // [Endpoint][google.cloud.aiplatform.v1.Endpoint]. |
| // |
| // Label keys and values can be no longer than 64 characters |
| // (Unicode codepoints), can only contain lowercase letters, numeric |
| // characters, underscores and dashes. International characters are allowed. |
| // |
| // See https://goo.gl/xmQnxf for more information and examples of labels. |
| Labels map[string]string `protobuf:"bytes,12,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"` |
| // Output only. The Experiment associated with this |
| // [TuningJob][google.cloud.aiplatform.v1.TuningJob]. |
| Experiment string `protobuf:"bytes,13,opt,name=experiment,proto3" json:"experiment,omitempty"` |
| // Output only. The tuned model resources assiociated with this |
| // [TuningJob][google.cloud.aiplatform.v1.TuningJob]. |
| TunedModel *TunedModel `protobuf:"bytes,14,opt,name=tuned_model,json=tunedModel,proto3" json:"tuned_model,omitempty"` |
| // Output only. The tuning data statistics associated with this |
| // [TuningJob][google.cloud.aiplatform.v1.TuningJob]. |
| TuningDataStats *TuningDataStats `protobuf:"bytes,15,opt,name=tuning_data_stats,json=tuningDataStats,proto3" json:"tuning_data_stats,omitempty"` |
| } |
| |
| func (x *TuningJob) Reset() { |
| *x = TuningJob{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[0] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *TuningJob) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*TuningJob) ProtoMessage() {} |
| |
| func (x *TuningJob) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[0] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use TuningJob.ProtoReflect.Descriptor instead. |
| func (*TuningJob) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_tuning_job_proto_rawDescGZIP(), []int{0} |
| } |
| |
| func (m *TuningJob) GetSourceModel() isTuningJob_SourceModel { |
| if m != nil { |
| return m.SourceModel |
| } |
| return nil |
| } |
| |
| func (x *TuningJob) GetBaseModel() string { |
| if x, ok := x.GetSourceModel().(*TuningJob_BaseModel); ok { |
| return x.BaseModel |
| } |
| return "" |
| } |
| |
| func (m *TuningJob) GetTuningSpec() isTuningJob_TuningSpec { |
| if m != nil { |
| return m.TuningSpec |
| } |
| return nil |
| } |
| |
| func (x *TuningJob) GetSupervisedTuningSpec() *SupervisedTuningSpec { |
| if x, ok := x.GetTuningSpec().(*TuningJob_SupervisedTuningSpec); ok { |
| return x.SupervisedTuningSpec |
| } |
| return nil |
| } |
| |
| func (x *TuningJob) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| func (x *TuningJob) GetTunedModelDisplayName() string { |
| if x != nil { |
| return x.TunedModelDisplayName |
| } |
| return "" |
| } |
| |
| func (x *TuningJob) GetDescription() string { |
| if x != nil { |
| return x.Description |
| } |
| return "" |
| } |
| |
| func (x *TuningJob) GetState() JobState { |
| if x != nil { |
| return x.State |
| } |
| return JobState_JOB_STATE_UNSPECIFIED |
| } |
| |
| func (x *TuningJob) GetCreateTime() *timestamppb.Timestamp { |
| if x != nil { |
| return x.CreateTime |
| } |
| return nil |
| } |
| |
| func (x *TuningJob) GetStartTime() *timestamppb.Timestamp { |
| if x != nil { |
| return x.StartTime |
| } |
| return nil |
| } |
| |
| func (x *TuningJob) GetEndTime() *timestamppb.Timestamp { |
| if x != nil { |
| return x.EndTime |
| } |
| return nil |
| } |
| |
| func (x *TuningJob) GetUpdateTime() *timestamppb.Timestamp { |
| if x != nil { |
| return x.UpdateTime |
| } |
| return nil |
| } |
| |
| func (x *TuningJob) GetError() *status.Status { |
| if x != nil { |
| return x.Error |
| } |
| return nil |
| } |
| |
| func (x *TuningJob) GetLabels() map[string]string { |
| if x != nil { |
| return x.Labels |
| } |
| return nil |
| } |
| |
| func (x *TuningJob) GetExperiment() string { |
| if x != nil { |
| return x.Experiment |
| } |
| return "" |
| } |
| |
| func (x *TuningJob) GetTunedModel() *TunedModel { |
| if x != nil { |
| return x.TunedModel |
| } |
| return nil |
| } |
| |
| func (x *TuningJob) GetTuningDataStats() *TuningDataStats { |
| if x != nil { |
| return x.TuningDataStats |
| } |
| return nil |
| } |
| |
| type isTuningJob_SourceModel interface { |
| isTuningJob_SourceModel() |
| } |
| |
| type TuningJob_BaseModel struct { |
| // Model name for tuning, e.g., "gemini-1.0-pro-002". |
| BaseModel string `protobuf:"bytes,4,opt,name=base_model,json=baseModel,proto3,oneof"` |
| } |
| |
| func (*TuningJob_BaseModel) isTuningJob_SourceModel() {} |
| |
| type isTuningJob_TuningSpec interface { |
| isTuningJob_TuningSpec() |
| } |
| |
| type TuningJob_SupervisedTuningSpec struct { |
| // Tuning Spec for Supervised Fine Tuning. |
| SupervisedTuningSpec *SupervisedTuningSpec `protobuf:"bytes,5,opt,name=supervised_tuning_spec,json=supervisedTuningSpec,proto3,oneof"` |
| } |
| |
| func (*TuningJob_SupervisedTuningSpec) isTuningJob_TuningSpec() {} |
| |
| // The Model Registry Model and Online Prediction Endpoint assiociated with |
| // this [TuningJob][google.cloud.aiplatform.v1.TuningJob]. |
| type TunedModel struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Output only. The resource name of the TunedModel. Format: |
| // `projects/{project}/locations/{location}/models/{model}`. |
| Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"` |
| // Output only. A resource name of an Endpoint. Format: |
| // `projects/{project}/locations/{location}/endpoints/{endpoint}`. |
| Endpoint string `protobuf:"bytes,2,opt,name=endpoint,proto3" json:"endpoint,omitempty"` |
| } |
| |
| func (x *TunedModel) Reset() { |
| *x = TunedModel{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[1] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *TunedModel) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*TunedModel) ProtoMessage() {} |
| |
| func (x *TunedModel) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[1] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use TunedModel.ProtoReflect.Descriptor instead. |
| func (*TunedModel) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_tuning_job_proto_rawDescGZIP(), []int{1} |
| } |
| |
| func (x *TunedModel) GetModel() string { |
| if x != nil { |
| return x.Model |
| } |
| return "" |
| } |
| |
| func (x *TunedModel) GetEndpoint() string { |
| if x != nil { |
| return x.Endpoint |
| } |
| return "" |
| } |
| |
| // Dataset distribution for Supervised Tuning. |
| type SupervisedTuningDatasetDistribution struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Output only. Sum of a given population of values. |
| Sum int64 `protobuf:"varint,1,opt,name=sum,proto3" json:"sum,omitempty"` |
| // Output only. The minimum of the population values. |
| Min float64 `protobuf:"fixed64,2,opt,name=min,proto3" json:"min,omitempty"` |
| // Output only. The maximum of the population values. |
| Max float64 `protobuf:"fixed64,3,opt,name=max,proto3" json:"max,omitempty"` |
| // Output only. The arithmetic mean of the values in the population. |
| Mean float64 `protobuf:"fixed64,4,opt,name=mean,proto3" json:"mean,omitempty"` |
| // Output only. The median of the values in the population. |
| Median float64 `protobuf:"fixed64,5,opt,name=median,proto3" json:"median,omitempty"` |
| // Output only. The 5th percentile of the values in the population. |
| P5 float64 `protobuf:"fixed64,6,opt,name=p5,proto3" json:"p5,omitempty"` |
| // Output only. The 95th percentile of the values in the population. |
| P95 float64 `protobuf:"fixed64,7,opt,name=p95,proto3" json:"p95,omitempty"` |
| // Output only. Defines the histogram bucket. |
| Buckets []*SupervisedTuningDatasetDistribution_DatasetBucket `protobuf:"bytes,8,rep,name=buckets,proto3" json:"buckets,omitempty"` |
| } |
| |
| func (x *SupervisedTuningDatasetDistribution) Reset() { |
| *x = SupervisedTuningDatasetDistribution{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[2] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *SupervisedTuningDatasetDistribution) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*SupervisedTuningDatasetDistribution) ProtoMessage() {} |
| |
| func (x *SupervisedTuningDatasetDistribution) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[2] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use SupervisedTuningDatasetDistribution.ProtoReflect.Descriptor instead. |
| func (*SupervisedTuningDatasetDistribution) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_tuning_job_proto_rawDescGZIP(), []int{2} |
| } |
| |
| func (x *SupervisedTuningDatasetDistribution) GetSum() int64 { |
| if x != nil { |
| return x.Sum |
| } |
| return 0 |
| } |
| |
| func (x *SupervisedTuningDatasetDistribution) GetMin() float64 { |
| if x != nil { |
| return x.Min |
| } |
| return 0 |
| } |
| |
| func (x *SupervisedTuningDatasetDistribution) GetMax() float64 { |
| if x != nil { |
| return x.Max |
| } |
| return 0 |
| } |
| |
| func (x *SupervisedTuningDatasetDistribution) GetMean() float64 { |
| if x != nil { |
| return x.Mean |
| } |
| return 0 |
| } |
| |
| func (x *SupervisedTuningDatasetDistribution) GetMedian() float64 { |
| if x != nil { |
| return x.Median |
| } |
| return 0 |
| } |
| |
| func (x *SupervisedTuningDatasetDistribution) GetP5() float64 { |
| if x != nil { |
| return x.P5 |
| } |
| return 0 |
| } |
| |
| func (x *SupervisedTuningDatasetDistribution) GetP95() float64 { |
| if x != nil { |
| return x.P95 |
| } |
| return 0 |
| } |
| |
| func (x *SupervisedTuningDatasetDistribution) GetBuckets() []*SupervisedTuningDatasetDistribution_DatasetBucket { |
| if x != nil { |
| return x.Buckets |
| } |
| return nil |
| } |
| |
| // Tuning data statistics for Supervised Tuning. |
| type SupervisedTuningDataStats struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Output only. Number of examples in the tuning dataset. |
| TuningDatasetExampleCount int64 `protobuf:"varint,1,opt,name=tuning_dataset_example_count,json=tuningDatasetExampleCount,proto3" json:"tuning_dataset_example_count,omitempty"` |
| // Output only. Number of tuning characters in the tuning dataset. |
| TotalTuningCharacterCount int64 `protobuf:"varint,2,opt,name=total_tuning_character_count,json=totalTuningCharacterCount,proto3" json:"total_tuning_character_count,omitempty"` |
| // Output only. Number of billable characters in the tuning dataset. |
| TotalBillableCharacterCount int64 `protobuf:"varint,3,opt,name=total_billable_character_count,json=totalBillableCharacterCount,proto3" json:"total_billable_character_count,omitempty"` |
| // Output only. Number of tuning steps for this Tuning Job. |
| TuningStepCount int64 `protobuf:"varint,4,opt,name=tuning_step_count,json=tuningStepCount,proto3" json:"tuning_step_count,omitempty"` |
| // Output only. Dataset distributions for the user input tokens. |
| UserInputTokenDistribution *SupervisedTuningDatasetDistribution `protobuf:"bytes,5,opt,name=user_input_token_distribution,json=userInputTokenDistribution,proto3" json:"user_input_token_distribution,omitempty"` |
| // Output only. Dataset distributions for the user output tokens. |
| UserOutputTokenDistribution *SupervisedTuningDatasetDistribution `protobuf:"bytes,6,opt,name=user_output_token_distribution,json=userOutputTokenDistribution,proto3" json:"user_output_token_distribution,omitempty"` |
| // Output only. Dataset distributions for the messages per example. |
| UserMessagePerExampleDistribution *SupervisedTuningDatasetDistribution `protobuf:"bytes,7,opt,name=user_message_per_example_distribution,json=userMessagePerExampleDistribution,proto3" json:"user_message_per_example_distribution,omitempty"` |
| // Output only. Sample user messages in the training dataset uri. |
| UserDatasetExamples []*Content `protobuf:"bytes,8,rep,name=user_dataset_examples,json=userDatasetExamples,proto3" json:"user_dataset_examples,omitempty"` |
| } |
| |
| func (x *SupervisedTuningDataStats) Reset() { |
| *x = SupervisedTuningDataStats{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[3] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *SupervisedTuningDataStats) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*SupervisedTuningDataStats) ProtoMessage() {} |
| |
| func (x *SupervisedTuningDataStats) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[3] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use SupervisedTuningDataStats.ProtoReflect.Descriptor instead. |
| func (*SupervisedTuningDataStats) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_tuning_job_proto_rawDescGZIP(), []int{3} |
| } |
| |
| func (x *SupervisedTuningDataStats) GetTuningDatasetExampleCount() int64 { |
| if x != nil { |
| return x.TuningDatasetExampleCount |
| } |
| return 0 |
| } |
| |
| func (x *SupervisedTuningDataStats) GetTotalTuningCharacterCount() int64 { |
| if x != nil { |
| return x.TotalTuningCharacterCount |
| } |
| return 0 |
| } |
| |
| func (x *SupervisedTuningDataStats) GetTotalBillableCharacterCount() int64 { |
| if x != nil { |
| return x.TotalBillableCharacterCount |
| } |
| return 0 |
| } |
| |
| func (x *SupervisedTuningDataStats) GetTuningStepCount() int64 { |
| if x != nil { |
| return x.TuningStepCount |
| } |
| return 0 |
| } |
| |
| func (x *SupervisedTuningDataStats) GetUserInputTokenDistribution() *SupervisedTuningDatasetDistribution { |
| if x != nil { |
| return x.UserInputTokenDistribution |
| } |
| return nil |
| } |
| |
| func (x *SupervisedTuningDataStats) GetUserOutputTokenDistribution() *SupervisedTuningDatasetDistribution { |
| if x != nil { |
| return x.UserOutputTokenDistribution |
| } |
| return nil |
| } |
| |
| func (x *SupervisedTuningDataStats) GetUserMessagePerExampleDistribution() *SupervisedTuningDatasetDistribution { |
| if x != nil { |
| return x.UserMessagePerExampleDistribution |
| } |
| return nil |
| } |
| |
| func (x *SupervisedTuningDataStats) GetUserDatasetExamples() []*Content { |
| if x != nil { |
| return x.UserDatasetExamples |
| } |
| return nil |
| } |
| |
| // The tuning data statistic values for |
| // [TuningJob][google.cloud.aiplatform.v1.TuningJob]. |
| type TuningDataStats struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Types that are assignable to TuningDataStats: |
| // |
| // *TuningDataStats_SupervisedTuningDataStats |
| TuningDataStats isTuningDataStats_TuningDataStats `protobuf_oneof:"tuning_data_stats"` |
| } |
| |
| func (x *TuningDataStats) Reset() { |
| *x = TuningDataStats{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[4] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *TuningDataStats) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*TuningDataStats) ProtoMessage() {} |
| |
| func (x *TuningDataStats) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[4] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use TuningDataStats.ProtoReflect.Descriptor instead. |
| func (*TuningDataStats) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_tuning_job_proto_rawDescGZIP(), []int{4} |
| } |
| |
| func (m *TuningDataStats) GetTuningDataStats() isTuningDataStats_TuningDataStats { |
| if m != nil { |
| return m.TuningDataStats |
| } |
| return nil |
| } |
| |
| func (x *TuningDataStats) GetSupervisedTuningDataStats() *SupervisedTuningDataStats { |
| if x, ok := x.GetTuningDataStats().(*TuningDataStats_SupervisedTuningDataStats); ok { |
| return x.SupervisedTuningDataStats |
| } |
| return nil |
| } |
| |
| type isTuningDataStats_TuningDataStats interface { |
| isTuningDataStats_TuningDataStats() |
| } |
| |
| type TuningDataStats_SupervisedTuningDataStats struct { |
| // The SFT Tuning data stats. |
| SupervisedTuningDataStats *SupervisedTuningDataStats `protobuf:"bytes,1,opt,name=supervised_tuning_data_stats,json=supervisedTuningDataStats,proto3,oneof"` |
| } |
| |
| func (*TuningDataStats_SupervisedTuningDataStats) isTuningDataStats_TuningDataStats() {} |
| |
| // Hyperparameters for SFT. |
| type SupervisedHyperParameters struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Optional. Number of training epoches for this tuning job. |
| EpochCount int64 `protobuf:"varint,1,opt,name=epoch_count,json=epochCount,proto3" json:"epoch_count,omitempty"` |
| // Optional. Learning rate multiplier for tuning. |
| LearningRateMultiplier float64 `protobuf:"fixed64,2,opt,name=learning_rate_multiplier,json=learningRateMultiplier,proto3" json:"learning_rate_multiplier,omitempty"` |
| // Optional. Adapter size for tuning. |
| AdapterSize SupervisedHyperParameters_AdapterSize `protobuf:"varint,3,opt,name=adapter_size,json=adapterSize,proto3,enum=google.cloud.aiplatform.v1.SupervisedHyperParameters_AdapterSize" json:"adapter_size,omitempty"` |
| } |
| |
| func (x *SupervisedHyperParameters) Reset() { |
| *x = SupervisedHyperParameters{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[5] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *SupervisedHyperParameters) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*SupervisedHyperParameters) ProtoMessage() {} |
| |
| func (x *SupervisedHyperParameters) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[5] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use SupervisedHyperParameters.ProtoReflect.Descriptor instead. |
| func (*SupervisedHyperParameters) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_tuning_job_proto_rawDescGZIP(), []int{5} |
| } |
| |
| func (x *SupervisedHyperParameters) GetEpochCount() int64 { |
| if x != nil { |
| return x.EpochCount |
| } |
| return 0 |
| } |
| |
| func (x *SupervisedHyperParameters) GetLearningRateMultiplier() float64 { |
| if x != nil { |
| return x.LearningRateMultiplier |
| } |
| return 0 |
| } |
| |
| func (x *SupervisedHyperParameters) GetAdapterSize() SupervisedHyperParameters_AdapterSize { |
| if x != nil { |
| return x.AdapterSize |
| } |
| return SupervisedHyperParameters_ADAPTER_SIZE_UNSPECIFIED |
| } |
| |
| // Tuning Spec for Supervised Tuning. |
| type SupervisedTuningSpec struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. Cloud Storage path to file containing training dataset for |
| // tuning. |
| TrainingDatasetUri string `protobuf:"bytes,1,opt,name=training_dataset_uri,json=trainingDatasetUri,proto3" json:"training_dataset_uri,omitempty"` |
| // Optional. Cloud Storage path to file containing validation dataset for |
| // tuning. |
| ValidationDatasetUri string `protobuf:"bytes,2,opt,name=validation_dataset_uri,json=validationDatasetUri,proto3" json:"validation_dataset_uri,omitempty"` |
| // Optional. Hyperparameters for SFT. |
| HyperParameters *SupervisedHyperParameters `protobuf:"bytes,3,opt,name=hyper_parameters,json=hyperParameters,proto3" json:"hyper_parameters,omitempty"` |
| } |
| |
| func (x *SupervisedTuningSpec) Reset() { |
| *x = SupervisedTuningSpec{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[6] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *SupervisedTuningSpec) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*SupervisedTuningSpec) ProtoMessage() {} |
| |
| func (x *SupervisedTuningSpec) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[6] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use SupervisedTuningSpec.ProtoReflect.Descriptor instead. |
| func (*SupervisedTuningSpec) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_tuning_job_proto_rawDescGZIP(), []int{6} |
| } |
| |
| func (x *SupervisedTuningSpec) GetTrainingDatasetUri() string { |
| if x != nil { |
| return x.TrainingDatasetUri |
| } |
| return "" |
| } |
| |
| func (x *SupervisedTuningSpec) GetValidationDatasetUri() string { |
| if x != nil { |
| return x.ValidationDatasetUri |
| } |
| return "" |
| } |
| |
| func (x *SupervisedTuningSpec) GetHyperParameters() *SupervisedHyperParameters { |
| if x != nil { |
| return x.HyperParameters |
| } |
| return nil |
| } |
| |
| // Dataset bucket used to create a histogram for the distribution given a |
| // population of values. |
| type SupervisedTuningDatasetDistribution_DatasetBucket struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Output only. Number of values in the bucket. |
| Count float64 `protobuf:"fixed64,1,opt,name=count,proto3" json:"count,omitempty"` |
| // Output only. Left bound of the bucket. |
| Left float64 `protobuf:"fixed64,2,opt,name=left,proto3" json:"left,omitempty"` |
| // Output only. Right bound of the bucket. |
| Right float64 `protobuf:"fixed64,3,opt,name=right,proto3" json:"right,omitempty"` |
| } |
| |
| func (x *SupervisedTuningDatasetDistribution_DatasetBucket) Reset() { |
| *x = SupervisedTuningDatasetDistribution_DatasetBucket{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[8] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *SupervisedTuningDatasetDistribution_DatasetBucket) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*SupervisedTuningDatasetDistribution_DatasetBucket) ProtoMessage() {} |
| |
| func (x *SupervisedTuningDatasetDistribution_DatasetBucket) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[8] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use SupervisedTuningDatasetDistribution_DatasetBucket.ProtoReflect.Descriptor instead. |
| func (*SupervisedTuningDatasetDistribution_DatasetBucket) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_tuning_job_proto_rawDescGZIP(), []int{2, 0} |
| } |
| |
| func (x *SupervisedTuningDatasetDistribution_DatasetBucket) GetCount() float64 { |
| if x != nil { |
| return x.Count |
| } |
| return 0 |
| } |
| |
| func (x *SupervisedTuningDatasetDistribution_DatasetBucket) GetLeft() float64 { |
| if x != nil { |
| return x.Left |
| } |
| return 0 |
| } |
| |
| func (x *SupervisedTuningDatasetDistribution_DatasetBucket) GetRight() float64 { |
| if x != nil { |
| return x.Right |
| } |
| return 0 |
| } |
| |
| var File_google_cloud_aiplatform_v1_tuning_job_proto protoreflect.FileDescriptor |
| |
| var file_google_cloud_aiplatform_v1_tuning_job_proto_rawDesc = []byte{ |
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| } |
| |
| var ( |
| file_google_cloud_aiplatform_v1_tuning_job_proto_rawDescOnce sync.Once |
| file_google_cloud_aiplatform_v1_tuning_job_proto_rawDescData = file_google_cloud_aiplatform_v1_tuning_job_proto_rawDesc |
| ) |
| |
| func file_google_cloud_aiplatform_v1_tuning_job_proto_rawDescGZIP() []byte { |
| file_google_cloud_aiplatform_v1_tuning_job_proto_rawDescOnce.Do(func() { |
| file_google_cloud_aiplatform_v1_tuning_job_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1_tuning_job_proto_rawDescData) |
| }) |
| return file_google_cloud_aiplatform_v1_tuning_job_proto_rawDescData |
| } |
| |
| var file_google_cloud_aiplatform_v1_tuning_job_proto_enumTypes = make([]protoimpl.EnumInfo, 1) |
| var file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes = make([]protoimpl.MessageInfo, 9) |
| var file_google_cloud_aiplatform_v1_tuning_job_proto_goTypes = []interface{}{ |
| (SupervisedHyperParameters_AdapterSize)(0), // 0: google.cloud.aiplatform.v1.SupervisedHyperParameters.AdapterSize |
| (*TuningJob)(nil), // 1: google.cloud.aiplatform.v1.TuningJob |
| (*TunedModel)(nil), // 2: google.cloud.aiplatform.v1.TunedModel |
| (*SupervisedTuningDatasetDistribution)(nil), // 3: google.cloud.aiplatform.v1.SupervisedTuningDatasetDistribution |
| (*SupervisedTuningDataStats)(nil), // 4: google.cloud.aiplatform.v1.SupervisedTuningDataStats |
| (*TuningDataStats)(nil), // 5: google.cloud.aiplatform.v1.TuningDataStats |
| (*SupervisedHyperParameters)(nil), // 6: google.cloud.aiplatform.v1.SupervisedHyperParameters |
| (*SupervisedTuningSpec)(nil), // 7: google.cloud.aiplatform.v1.SupervisedTuningSpec |
| nil, // 8: google.cloud.aiplatform.v1.TuningJob.LabelsEntry |
| (*SupervisedTuningDatasetDistribution_DatasetBucket)(nil), // 9: google.cloud.aiplatform.v1.SupervisedTuningDatasetDistribution.DatasetBucket |
| (JobState)(0), // 10: google.cloud.aiplatform.v1.JobState |
| (*timestamppb.Timestamp)(nil), // 11: google.protobuf.Timestamp |
| (*status.Status)(nil), // 12: google.rpc.Status |
| (*Content)(nil), // 13: google.cloud.aiplatform.v1.Content |
| } |
| var file_google_cloud_aiplatform_v1_tuning_job_proto_depIdxs = []int32{ |
| 7, // 0: google.cloud.aiplatform.v1.TuningJob.supervised_tuning_spec:type_name -> google.cloud.aiplatform.v1.SupervisedTuningSpec |
| 10, // 1: google.cloud.aiplatform.v1.TuningJob.state:type_name -> google.cloud.aiplatform.v1.JobState |
| 11, // 2: google.cloud.aiplatform.v1.TuningJob.create_time:type_name -> google.protobuf.Timestamp |
| 11, // 3: google.cloud.aiplatform.v1.TuningJob.start_time:type_name -> google.protobuf.Timestamp |
| 11, // 4: google.cloud.aiplatform.v1.TuningJob.end_time:type_name -> google.protobuf.Timestamp |
| 11, // 5: google.cloud.aiplatform.v1.TuningJob.update_time:type_name -> google.protobuf.Timestamp |
| 12, // 6: google.cloud.aiplatform.v1.TuningJob.error:type_name -> google.rpc.Status |
| 8, // 7: google.cloud.aiplatform.v1.TuningJob.labels:type_name -> google.cloud.aiplatform.v1.TuningJob.LabelsEntry |
| 2, // 8: google.cloud.aiplatform.v1.TuningJob.tuned_model:type_name -> google.cloud.aiplatform.v1.TunedModel |
| 5, // 9: google.cloud.aiplatform.v1.TuningJob.tuning_data_stats:type_name -> google.cloud.aiplatform.v1.TuningDataStats |
| 9, // 10: google.cloud.aiplatform.v1.SupervisedTuningDatasetDistribution.buckets:type_name -> google.cloud.aiplatform.v1.SupervisedTuningDatasetDistribution.DatasetBucket |
| 3, // 11: google.cloud.aiplatform.v1.SupervisedTuningDataStats.user_input_token_distribution:type_name -> google.cloud.aiplatform.v1.SupervisedTuningDatasetDistribution |
| 3, // 12: google.cloud.aiplatform.v1.SupervisedTuningDataStats.user_output_token_distribution:type_name -> google.cloud.aiplatform.v1.SupervisedTuningDatasetDistribution |
| 3, // 13: google.cloud.aiplatform.v1.SupervisedTuningDataStats.user_message_per_example_distribution:type_name -> google.cloud.aiplatform.v1.SupervisedTuningDatasetDistribution |
| 13, // 14: google.cloud.aiplatform.v1.SupervisedTuningDataStats.user_dataset_examples:type_name -> google.cloud.aiplatform.v1.Content |
| 4, // 15: google.cloud.aiplatform.v1.TuningDataStats.supervised_tuning_data_stats:type_name -> google.cloud.aiplatform.v1.SupervisedTuningDataStats |
| 0, // 16: google.cloud.aiplatform.v1.SupervisedHyperParameters.adapter_size:type_name -> google.cloud.aiplatform.v1.SupervisedHyperParameters.AdapterSize |
| 6, // 17: google.cloud.aiplatform.v1.SupervisedTuningSpec.hyper_parameters:type_name -> google.cloud.aiplatform.v1.SupervisedHyperParameters |
| 18, // [18:18] is the sub-list for method output_type |
| 18, // [18:18] is the sub-list for method input_type |
| 18, // [18:18] is the sub-list for extension type_name |
| 18, // [18:18] is the sub-list for extension extendee |
| 0, // [0:18] is the sub-list for field type_name |
| } |
| |
| func init() { file_google_cloud_aiplatform_v1_tuning_job_proto_init() } |
| func file_google_cloud_aiplatform_v1_tuning_job_proto_init() { |
| if File_google_cloud_aiplatform_v1_tuning_job_proto != nil { |
| return |
| } |
| file_google_cloud_aiplatform_v1_content_proto_init() |
| file_google_cloud_aiplatform_v1_job_state_proto_init() |
| if !protoimpl.UnsafeEnabled { |
| file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*TuningJob); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*TunedModel); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*SupervisedTuningDatasetDistribution); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*SupervisedTuningDataStats); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*TuningDataStats); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*SupervisedHyperParameters); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[6].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*SupervisedTuningSpec); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[8].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*SupervisedTuningDatasetDistribution_DatasetBucket); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| } |
| file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[0].OneofWrappers = []interface{}{ |
| (*TuningJob_BaseModel)(nil), |
| (*TuningJob_SupervisedTuningSpec)(nil), |
| } |
| file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes[4].OneofWrappers = []interface{}{ |
| (*TuningDataStats_SupervisedTuningDataStats)(nil), |
| } |
| type x struct{} |
| out := protoimpl.TypeBuilder{ |
| File: protoimpl.DescBuilder{ |
| GoPackagePath: reflect.TypeOf(x{}).PkgPath(), |
| RawDescriptor: file_google_cloud_aiplatform_v1_tuning_job_proto_rawDesc, |
| NumEnums: 1, |
| NumMessages: 9, |
| NumExtensions: 0, |
| NumServices: 0, |
| }, |
| GoTypes: file_google_cloud_aiplatform_v1_tuning_job_proto_goTypes, |
| DependencyIndexes: file_google_cloud_aiplatform_v1_tuning_job_proto_depIdxs, |
| EnumInfos: file_google_cloud_aiplatform_v1_tuning_job_proto_enumTypes, |
| MessageInfos: file_google_cloud_aiplatform_v1_tuning_job_proto_msgTypes, |
| }.Build() |
| File_google_cloud_aiplatform_v1_tuning_job_proto = out.File |
| file_google_cloud_aiplatform_v1_tuning_job_proto_rawDesc = nil |
| file_google_cloud_aiplatform_v1_tuning_job_proto_goTypes = nil |
| file_google_cloud_aiplatform_v1_tuning_job_proto_depIdxs = nil |
| } |
