From 9f1b26c1b2dc4a5753a374d7bf18e1d2b06e0177 Mon Sep 17 00:00:00 2001 From: Yoshi Automation Bot Date: Wed, 1 Sep 2021 00:12:02 +0000 Subject: [PATCH] chore(all): auto-regenerate .pb.go files This is an auto-generated regeneration of the .pb.go files by cloud.google.com/go/internal/gapicgen. Once this PR is submitted, genbot will update the corresponding PR to depend on the newer version of go-genproto, and assign reviewers. Whilst this or any regen PR is open in go-genproto, genbot will not create any more regeneration PRs. If all regen PRs are closed, gapicgen will create a new set of regeneration PRs once per night. If you have been assigned to review this PR, please: - Ensure that CI is passing. If it's failing, it requires your manual attention. - Approve and submit this PR if you believe it's ready to ship. That will prompt genbot to assign reviewers to the google-cloud-go PR. Corresponding google-cloud-go PR: googleapis/google-cloud-go#4712 Changes: chore: regenerate API index Source-Link: https://github.com/googleapis/googleapis/commit/ee78ed722d64527f5e5e3f2352599d958b0bd55c feat(aiplatform): add Vizier service to aiplatform v1 Committer: @dizcology PiperOrigin-RevId: 394116440 Source-Link: https://github.com/googleapis/googleapis/commit/67c780ba389a8e37e80076a434a3b1a031b62c4e docs(dialogflow/cx): clarified some LRO types docs: fixed some wrong update mask descriptions PiperOrigin-RevId: 394033461 Source-Link: https://github.com/googleapis/googleapis/commit/aa15f328736501d01fac1d599655c392b5b12a3c chore: regenerate API index Source-Link: https://github.com/googleapis/googleapis/commit/2127126597ea49fb0f5a5c23a2223312f3c32835 feat: add prediction service RPC RawPredict to aiplatform_v1beta1 feat: add tensorboard service RPCs to aiplatform_v1beta1: BatchCreateTensorboardRuns, BatchCreateTensorboardTimeSeries, WriteTensorboardExperimentData feat: add model_deployment_monitoring_job to Endpoint in aiplatform_v1beta1 feat: add deployment_group to DeployedIndex in aiplatform_v1beta1 feat: add ModelEvaluationExplanationSpec in aiplatform_v1beta1 Committer: @dizcology PiperOrigin-RevId: 393890669 Source-Link: https://github.com/googleapis/googleapis/commit/321abab2143fed12030b32b2b20aecdc3a5070ed --- .../cloud/aiplatform/v1/job_service.pb.go | 28 +- .../cloud/aiplatform/v1/vizier_service.pb.go | 2798 +++++++++++++++++ .../cloud/aiplatform/v1beta1/artifact.pb.go | 1 + .../cloud/aiplatform/v1beta1/context.pb.go | 1 + .../cloud/aiplatform/v1beta1/custom_job.pb.go | 25 +- .../cloud/aiplatform/v1beta1/dataset.pb.go | 179 +- .../cloud/aiplatform/v1beta1/endpoint.pb.go | 125 +- .../cloud/aiplatform/v1beta1/execution.pb.go | 1 + .../aiplatform/v1beta1/explanation.pb.go | 4 +- .../v1beta1/explanation_metadata.pb.go | 41 +- .../aiplatform/v1beta1/featurestore.pb.go | 72 +- .../v1beta1/featurestore_monitoring.pb.go | 57 +- .../aiplatform/v1beta1/index_endpoint.pb.go | 27 +- .../aiplatform/v1beta1/index_service.pb.go | 278 +- .../aiplatform/v1beta1/metadata_service.pb.go | 1662 +++++----- .../v1beta1/migration_service.pb.go | 4 +- .../cloud/aiplatform/v1beta1/model.pb.go | 6 +- .../model_deployment_monitoring_job.pb.go | 558 ++-- .../aiplatform/v1beta1/model_monitoring.pb.go | 3 +- .../aiplatform/v1beta1/pipeline_service.pb.go | 64 +- .../v1beta1/prediction_service.pb.go | 384 ++- .../aiplatform/v1beta1/specialist_pool.pb.go | 14 +- .../cloud/aiplatform/v1beta1/study.pb.go | 522 +-- .../aiplatform/v1beta1/tensorboard_run.pb.go | 20 +- .../v1beta1/tensorboard_service.pb.go | 2336 +++++++++----- .../cloud/dialogflow/cx/v3beta1/agent.pb.go | 14 + .../dialogflow/cx/v3beta1/audio_config.pb.go | 279 +- .../cloud/dialogflow/cx/v3beta1/flow.pb.go | 462 +-- .../dialogflow/cx/v3beta1/test_case.pb.go | 15 +- regen.txt | 2 +- 30 files changed, 6902 insertions(+), 3080 deletions(-) create mode 100644 googleapis/cloud/aiplatform/v1/vizier_service.pb.go diff --git a/googleapis/cloud/aiplatform/v1/job_service.pb.go b/googleapis/cloud/aiplatform/v1/job_service.pb.go index 2fd9d3f0f..955c19495 100644 --- a/googleapis/cloud/aiplatform/v1/job_service.pb.go +++ b/googleapis/cloud/aiplatform/v1/job_service.pb.go @@ -2020,7 +2020,33 @@ type UpdateModelDeploymentMonitoringJobRequest struct { // Required. The model monitoring configuration which replaces the resource on the // server. ModelDeploymentMonitoringJob *ModelDeploymentMonitoringJob `protobuf:"bytes,1,opt,name=model_deployment_monitoring_job,json=modelDeploymentMonitoringJob,proto3" json:"model_deployment_monitoring_job,omitempty"` - // Required. The update mask applies to the resource. + // Required. The update mask is used to specify the fields to be overwritten in the + // ModelDeploymentMonitoringJob resource by the update. + // The fields specified in the update_mask are relative to the resource, not + // the full request. A field will be overwritten if it is in the mask. If the + // user does not provide a mask then only the non-empty fields present in the + // request will be overwritten. Set the update_mask to `*` to override all + // fields. + // For the objective config, the user can either provide the update mask for + // model_deployment_monitoring_objective_configs or any combination of its + // nested fields, such as: + // model_deployment_monitoring_objective_configs.objective_config.training_dataset. + // + // Updatable fields: + // + // * `display_name` + // * `model_deployment_monitoring_schedule_config` + // * `model_monitoring_alert_config` + // * `logging_sampling_strategy` + // * `labels` + // * `log_ttl` + // * `enable_monitoring_pipeline_logs` + // . and + // * `model_deployment_monitoring_objective_configs` + // . or + // * `model_deployment_monitoring_objective_configs.objective_config.training_dataset` + // * `model_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_config` + // * `model_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config` UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"` } diff --git a/googleapis/cloud/aiplatform/v1/vizier_service.pb.go b/googleapis/cloud/aiplatform/v1/vizier_service.pb.go new file mode 100644 index 000000000..75cc09e2e --- /dev/null +++ b/googleapis/cloud/aiplatform/v1/vizier_service.pb.go @@ -0,0 +1,2798 @@ +// Copyright 2021 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 v1.26.0 +// protoc v3.12.2 +// source: google/cloud/aiplatform/v1/vizier_service.proto + +package aiplatform + +import ( + context "context" + reflect "reflect" + sync "sync" + + _ "google.golang.org/genproto/googleapis/api/annotations" + longrunning "google.golang.org/genproto/googleapis/longrunning" + grpc "google.golang.org/grpc" + codes "google.golang.org/grpc/codes" + status "google.golang.org/grpc/status" + protoreflect "google.golang.org/protobuf/reflect/protoreflect" + protoimpl "google.golang.org/protobuf/runtime/protoimpl" + emptypb "google.golang.org/protobuf/types/known/emptypb" + 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) +) + +// Request message for [VizierService.GetStudy][google.cloud.aiplatform.v1.VizierService.GetStudy]. +type GetStudyRequest struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // Required. The name of the Study resource. + // Format: `projects/{project}/locations/{location}/studies/{study}` + Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` +} + +func (x *GetStudyRequest) Reset() { + *x = GetStudyRequest{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[0] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *GetStudyRequest) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*GetStudyRequest) ProtoMessage() {} + +func (x *GetStudyRequest) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1_vizier_service_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 GetStudyRequest.ProtoReflect.Descriptor instead. +func (*GetStudyRequest) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1_vizier_service_proto_rawDescGZIP(), []int{0} +} + +func (x *GetStudyRequest) GetName() string { + if x != nil { + return x.Name + } + return "" +} + +// Request message for [VizierService.CreateStudy][google.cloud.aiplatform.v1.VizierService.CreateStudy]. +type CreateStudyRequest struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // Required. The resource name of the Location to create the CustomJob in. + // Format: `projects/{project}/locations/{location}` + Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` + // Required. The Study configuration used to create the Study. + Study *Study `protobuf:"bytes,2,opt,name=study,proto3" json:"study,omitempty"` +} + +func (x *CreateStudyRequest) Reset() { + *x = CreateStudyRequest{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[1] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *CreateStudyRequest) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*CreateStudyRequest) ProtoMessage() {} + +func (x *CreateStudyRequest) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1_vizier_service_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 CreateStudyRequest.ProtoReflect.Descriptor instead. +func (*CreateStudyRequest) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1_vizier_service_proto_rawDescGZIP(), []int{1} +} + +func (x *CreateStudyRequest) GetParent() string { + if x != nil { + return x.Parent + } + return "" +} + +func (x *CreateStudyRequest) GetStudy() *Study { + if x != nil { + return x.Study + } + return nil +} + +// Request message for [VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies]. +type ListStudiesRequest struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // Required. The resource name of the Location to list the Study from. + // Format: `projects/{project}/locations/{location}` + Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` + // Optional. A page token to request the next page of results. + // If unspecified, there are no subsequent pages. + PageToken string `protobuf:"bytes,2,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"` + // Optional. The maximum number of studies to return per "page" of results. + // If unspecified, service will pick an appropriate default. + PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"` +} + +func (x *ListStudiesRequest) Reset() { + *x = ListStudiesRequest{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[2] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *ListStudiesRequest) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*ListStudiesRequest) ProtoMessage() {} + +func (x *ListStudiesRequest) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1_vizier_service_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 ListStudiesRequest.ProtoReflect.Descriptor instead. +func (*ListStudiesRequest) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1_vizier_service_proto_rawDescGZIP(), []int{2} +} + +func (x *ListStudiesRequest) GetParent() string { + if x != nil { + return x.Parent + } + return "" +} + +func (x *ListStudiesRequest) GetPageToken() string { + if x != nil { + return x.PageToken + } + return "" +} + +func (x *ListStudiesRequest) GetPageSize() int32 { + if x != nil { + return x.PageSize + } + return 0 +} + +// Response message for [VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies]. +type ListStudiesResponse struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // The studies associated with the project. + Studies []*Study `protobuf:"bytes,1,rep,name=studies,proto3" json:"studies,omitempty"` + // Passes this token as the `page_token` field of the request for a + // subsequent call. + // If this field is omitted, there are no subsequent pages. + NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"` +} + +func (x *ListStudiesResponse) Reset() { + *x = ListStudiesResponse{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[3] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *ListStudiesResponse) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*ListStudiesResponse) ProtoMessage() {} + +func (x *ListStudiesResponse) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1_vizier_service_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 ListStudiesResponse.ProtoReflect.Descriptor instead. +func (*ListStudiesResponse) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1_vizier_service_proto_rawDescGZIP(), []int{3} +} + +func (x *ListStudiesResponse) GetStudies() []*Study { + if x != nil { + return x.Studies + } + return nil +} + +func (x *ListStudiesResponse) GetNextPageToken() string { + if x != nil { + return x.NextPageToken + } + return "" +} + +// Request message for [VizierService.DeleteStudy][google.cloud.aiplatform.v1.VizierService.DeleteStudy]. +type DeleteStudyRequest struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // Required. The name of the Study resource to be deleted. + // Format: `projects/{project}/locations/{location}/studies/{study}` + Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` +} + +func (x *DeleteStudyRequest) Reset() { + *x = DeleteStudyRequest{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[4] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *DeleteStudyRequest) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*DeleteStudyRequest) ProtoMessage() {} + +func (x *DeleteStudyRequest) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1_vizier_service_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 DeleteStudyRequest.ProtoReflect.Descriptor instead. +func (*DeleteStudyRequest) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1_vizier_service_proto_rawDescGZIP(), []int{4} +} + +func (x *DeleteStudyRequest) GetName() string { + if x != nil { + return x.Name + } + return "" +} + +// Request message for [VizierService.LookupStudy][google.cloud.aiplatform.v1.VizierService.LookupStudy]. +type LookupStudyRequest struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // Required. The resource name of the Location to get the Study from. + // Format: `projects/{project}/locations/{location}` + Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` + // Required. The user-defined display name of the Study + DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"` +} + +func (x *LookupStudyRequest) Reset() { + *x = LookupStudyRequest{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[5] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *LookupStudyRequest) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*LookupStudyRequest) ProtoMessage() {} + +func (x *LookupStudyRequest) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1_vizier_service_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 LookupStudyRequest.ProtoReflect.Descriptor instead. +func (*LookupStudyRequest) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1_vizier_service_proto_rawDescGZIP(), []int{5} +} + +func (x *LookupStudyRequest) GetParent() string { + if x != nil { + return x.Parent + } + return "" +} + +func (x *LookupStudyRequest) GetDisplayName() string { + if x != nil { + return x.DisplayName + } + return "" +} + +// Request message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials]. +type SuggestTrialsRequest struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // Required. The project and location that the Study belongs to. + // Format: `projects/{project}/locations/{location}/studies/{study}` + Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` + // Required. The number of suggestions requested. + SuggestionCount int32 `protobuf:"varint,2,opt,name=suggestion_count,json=suggestionCount,proto3" json:"suggestion_count,omitempty"` + // Required. The identifier of the client that is requesting the suggestion. + // + // If multiple SuggestTrialsRequests have the same `client_id`, + // the service will return the identical suggested Trial if the Trial is + // pending, and provide a new Trial if the last suggested Trial was completed. + ClientId string `protobuf:"bytes,3,opt,name=client_id,json=clientId,proto3" json:"client_id,omitempty"` +} + +func (x *SuggestTrialsRequest) Reset() { + *x = SuggestTrialsRequest{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[6] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *SuggestTrialsRequest) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*SuggestTrialsRequest) ProtoMessage() {} + +func (x *SuggestTrialsRequest) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1_vizier_service_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 SuggestTrialsRequest.ProtoReflect.Descriptor instead. +func (*SuggestTrialsRequest) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1_vizier_service_proto_rawDescGZIP(), []int{6} +} + +func (x *SuggestTrialsRequest) GetParent() string { + if x != nil { + return x.Parent + } + return "" +} + +func (x *SuggestTrialsRequest) GetSuggestionCount() int32 { + if x != nil { + return x.SuggestionCount + } + return 0 +} + +func (x *SuggestTrialsRequest) GetClientId() string { + if x != nil { + return x.ClientId + } + return "" +} + +// Response message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials]. +type SuggestTrialsResponse struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // A list of Trials. + Trials []*Trial `protobuf:"bytes,1,rep,name=trials,proto3" json:"trials,omitempty"` + // The state of the Study. + StudyState Study_State `protobuf:"varint,2,opt,name=study_state,json=studyState,proto3,enum=google.cloud.aiplatform.v1.Study_State" json:"study_state,omitempty"` + // The time at which the operation was started. + StartTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"` + // The time at which operation processing completed. + EndTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"` +} + +func (x *SuggestTrialsResponse) Reset() { + *x = SuggestTrialsResponse{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[7] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *SuggestTrialsResponse) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*SuggestTrialsResponse) ProtoMessage() {} + +func (x *SuggestTrialsResponse) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[7] + 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 SuggestTrialsResponse.ProtoReflect.Descriptor instead. +func (*SuggestTrialsResponse) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1_vizier_service_proto_rawDescGZIP(), []int{7} +} + +func (x *SuggestTrialsResponse) GetTrials() []*Trial { + if x != nil { + return x.Trials + } + return nil +} + +func (x *SuggestTrialsResponse) GetStudyState() Study_State { + if x != nil { + return x.StudyState + } + return Study_STATE_UNSPECIFIED +} + +func (x *SuggestTrialsResponse) GetStartTime() *timestamppb.Timestamp { + if x != nil { + return x.StartTime + } + return nil +} + +func (x *SuggestTrialsResponse) GetEndTime() *timestamppb.Timestamp { + if x != nil { + return x.EndTime + } + return nil +} + +// Details of operations that perform Trials suggestion. +type SuggestTrialsMetadata struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // Operation metadata for suggesting Trials. + GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"` + // The identifier of the client that is requesting the suggestion. + // + // If multiple SuggestTrialsRequests have the same `client_id`, + // the service will return the identical suggested Trial if the Trial is + // pending, and provide a new Trial if the last suggested Trial was completed. + ClientId string `protobuf:"bytes,2,opt,name=client_id,json=clientId,proto3" json:"client_id,omitempty"` +} + +func (x *SuggestTrialsMetadata) Reset() { + *x = SuggestTrialsMetadata{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[8] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *SuggestTrialsMetadata) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*SuggestTrialsMetadata) ProtoMessage() {} + +func (x *SuggestTrialsMetadata) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1_vizier_service_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 SuggestTrialsMetadata.ProtoReflect.Descriptor instead. +func (*SuggestTrialsMetadata) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1_vizier_service_proto_rawDescGZIP(), []int{8} +} + +func (x *SuggestTrialsMetadata) GetGenericMetadata() *GenericOperationMetadata { + if x != nil { + return x.GenericMetadata + } + return nil +} + +func (x *SuggestTrialsMetadata) GetClientId() string { + if x != nil { + return x.ClientId + } + return "" +} + +// Request message for [VizierService.CreateTrial][google.cloud.aiplatform.v1.VizierService.CreateTrial]. +type CreateTrialRequest struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // Required. The resource name of the Study to create the Trial in. + // Format: `projects/{project}/locations/{location}/studies/{study}` + Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` + // Required. The Trial to create. + Trial *Trial `protobuf:"bytes,2,opt,name=trial,proto3" json:"trial,omitempty"` +} + +func (x *CreateTrialRequest) Reset() { + *x = CreateTrialRequest{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[9] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *CreateTrialRequest) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*CreateTrialRequest) ProtoMessage() {} + +func (x *CreateTrialRequest) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[9] + 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 CreateTrialRequest.ProtoReflect.Descriptor instead. +func (*CreateTrialRequest) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1_vizier_service_proto_rawDescGZIP(), []int{9} +} + +func (x *CreateTrialRequest) GetParent() string { + if x != nil { + return x.Parent + } + return "" +} + +func (x *CreateTrialRequest) GetTrial() *Trial { + if x != nil { + return x.Trial + } + return nil +} + +// Request message for [VizierService.GetTrial][google.cloud.aiplatform.v1.VizierService.GetTrial]. +type GetTrialRequest struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // Required. The name of the Trial resource. + // Format: + // `projects/{project}/locations/{location}/studies/{study}/trials/{trial}` + Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` +} + +func (x *GetTrialRequest) Reset() { + *x = GetTrialRequest{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[10] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *GetTrialRequest) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*GetTrialRequest) ProtoMessage() {} + +func (x *GetTrialRequest) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[10] + 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 GetTrialRequest.ProtoReflect.Descriptor instead. +func (*GetTrialRequest) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1_vizier_service_proto_rawDescGZIP(), []int{10} +} + +func (x *GetTrialRequest) GetName() string { + if x != nil { + return x.Name + } + return "" +} + +// Request message for [VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials]. +type ListTrialsRequest struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // Required. The resource name of the Study to list the Trial from. + // Format: `projects/{project}/locations/{location}/studies/{study}` + Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` + // Optional. A page token to request the next page of results. + // If unspecified, there are no subsequent pages. + PageToken string `protobuf:"bytes,2,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"` + // Optional. The number of Trials to retrieve per "page" of results. + // If unspecified, the service will pick an appropriate default. + PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"` +} + +func (x *ListTrialsRequest) Reset() { + *x = ListTrialsRequest{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[11] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *ListTrialsRequest) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*ListTrialsRequest) ProtoMessage() {} + +func (x *ListTrialsRequest) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[11] + 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 ListTrialsRequest.ProtoReflect.Descriptor instead. +func (*ListTrialsRequest) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1_vizier_service_proto_rawDescGZIP(), []int{11} +} + +func (x *ListTrialsRequest) GetParent() string { + if x != nil { + return x.Parent + } + return "" +} + +func (x *ListTrialsRequest) GetPageToken() string { + if x != nil { + return x.PageToken + } + return "" +} + +func (x *ListTrialsRequest) GetPageSize() int32 { + if x != nil { + return x.PageSize + } + return 0 +} + +// Response message for [VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials]. +type ListTrialsResponse struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // The Trials associated with the Study. + Trials []*Trial `protobuf:"bytes,1,rep,name=trials,proto3" json:"trials,omitempty"` + // Pass this token as the `page_token` field of the request for a + // subsequent call. + // If this field is omitted, there are no subsequent pages. + NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"` +} + +func (x *ListTrialsResponse) Reset() { + *x = ListTrialsResponse{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[12] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *ListTrialsResponse) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*ListTrialsResponse) ProtoMessage() {} + +func (x *ListTrialsResponse) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[12] + 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 ListTrialsResponse.ProtoReflect.Descriptor instead. +func (*ListTrialsResponse) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1_vizier_service_proto_rawDescGZIP(), []int{12} +} + +func (x *ListTrialsResponse) GetTrials() []*Trial { + if x != nil { + return x.Trials + } + return nil +} + +func (x *ListTrialsResponse) GetNextPageToken() string { + if x != nil { + return x.NextPageToken + } + return "" +} + +// Request message for [VizierService.AddTrialMeasurement][google.cloud.aiplatform.v1.VizierService.AddTrialMeasurement]. +type AddTrialMeasurementRequest struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // Required. The name of the trial to add measurement. + // Format: + // `projects/{project}/locations/{location}/studies/{study}/trials/{trial}` + TrialName string `protobuf:"bytes,1,opt,name=trial_name,json=trialName,proto3" json:"trial_name,omitempty"` + // Required. The measurement to be added to a Trial. + Measurement *Measurement `protobuf:"bytes,3,opt,name=measurement,proto3" json:"measurement,omitempty"` +} + +func (x *AddTrialMeasurementRequest) Reset() { + *x = AddTrialMeasurementRequest{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[13] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *AddTrialMeasurementRequest) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*AddTrialMeasurementRequest) ProtoMessage() {} + +func (x *AddTrialMeasurementRequest) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[13] + 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 AddTrialMeasurementRequest.ProtoReflect.Descriptor instead. +func (*AddTrialMeasurementRequest) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1_vizier_service_proto_rawDescGZIP(), []int{13} +} + +func (x *AddTrialMeasurementRequest) GetTrialName() string { + if x != nil { + return x.TrialName + } + return "" +} + +func (x *AddTrialMeasurementRequest) GetMeasurement() *Measurement { + if x != nil { + return x.Measurement + } + return nil +} + +// Request message for [VizierService.CompleteTrial][google.cloud.aiplatform.v1.VizierService.CompleteTrial]. +type CompleteTrialRequest struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // Required. The Trial's name. + // Format: + // `projects/{project}/locations/{location}/studies/{study}/trials/{trial}` + Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` + // Optional. If provided, it will be used as the completed Trial's + // final_measurement; Otherwise, the service will auto-select a + // previously reported measurement as the final-measurement + FinalMeasurement *Measurement `protobuf:"bytes,2,opt,name=final_measurement,json=finalMeasurement,proto3" json:"final_measurement,omitempty"` + // Optional. True if the Trial cannot be run with the given Parameter, and + // final_measurement will be ignored. + TrialInfeasible bool `protobuf:"varint,3,opt,name=trial_infeasible,json=trialInfeasible,proto3" json:"trial_infeasible,omitempty"` + // Optional. A human readable reason why the trial was infeasible. This should + // only be provided if `trial_infeasible` is true. + InfeasibleReason string `protobuf:"bytes,4,opt,name=infeasible_reason,json=infeasibleReason,proto3" json:"infeasible_reason,omitempty"` +} + +func (x *CompleteTrialRequest) Reset() { + *x = CompleteTrialRequest{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[14] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *CompleteTrialRequest) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*CompleteTrialRequest) ProtoMessage() {} + +func (x *CompleteTrialRequest) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[14] + 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 CompleteTrialRequest.ProtoReflect.Descriptor instead. +func (*CompleteTrialRequest) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1_vizier_service_proto_rawDescGZIP(), []int{14} +} + +func (x *CompleteTrialRequest) GetName() string { + if x != nil { + return x.Name + } + return "" +} + +func (x *CompleteTrialRequest) GetFinalMeasurement() *Measurement { + if x != nil { + return x.FinalMeasurement + } + return nil +} + +func (x *CompleteTrialRequest) GetTrialInfeasible() bool { + if x != nil { + return x.TrialInfeasible + } + return false +} + +func (x *CompleteTrialRequest) GetInfeasibleReason() string { + if x != nil { + return x.InfeasibleReason + } + return "" +} + +// Request message for [VizierService.DeleteTrial][google.cloud.aiplatform.v1.VizierService.DeleteTrial]. +type DeleteTrialRequest struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // Required. The Trial's name. + // Format: + // `projects/{project}/locations/{location}/studies/{study}/trials/{trial}` + Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` +} + +func (x *DeleteTrialRequest) Reset() { + *x = DeleteTrialRequest{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[15] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *DeleteTrialRequest) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*DeleteTrialRequest) ProtoMessage() {} + +func (x *DeleteTrialRequest) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[15] + 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 DeleteTrialRequest.ProtoReflect.Descriptor instead. +func (*DeleteTrialRequest) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1_vizier_service_proto_rawDescGZIP(), []int{15} +} + +func (x *DeleteTrialRequest) GetName() string { + if x != nil { + return x.Name + } + return "" +} + +// Request message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState]. +type CheckTrialEarlyStoppingStateRequest struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // Required. The Trial's name. + // Format: + // `projects/{project}/locations/{location}/studies/{study}/trials/{trial}` + TrialName string `protobuf:"bytes,1,opt,name=trial_name,json=trialName,proto3" json:"trial_name,omitempty"` +} + +func (x *CheckTrialEarlyStoppingStateRequest) Reset() { + *x = CheckTrialEarlyStoppingStateRequest{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[16] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *CheckTrialEarlyStoppingStateRequest) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*CheckTrialEarlyStoppingStateRequest) ProtoMessage() {} + +func (x *CheckTrialEarlyStoppingStateRequest) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[16] + 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 CheckTrialEarlyStoppingStateRequest.ProtoReflect.Descriptor instead. +func (*CheckTrialEarlyStoppingStateRequest) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1_vizier_service_proto_rawDescGZIP(), []int{16} +} + +func (x *CheckTrialEarlyStoppingStateRequest) GetTrialName() string { + if x != nil { + return x.TrialName + } + return "" +} + +// Response message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState]. +type CheckTrialEarlyStoppingStateResponse struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // True if the Trial should stop. + ShouldStop bool `protobuf:"varint,1,opt,name=should_stop,json=shouldStop,proto3" json:"should_stop,omitempty"` +} + +func (x *CheckTrialEarlyStoppingStateResponse) Reset() { + *x = CheckTrialEarlyStoppingStateResponse{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[17] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *CheckTrialEarlyStoppingStateResponse) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*CheckTrialEarlyStoppingStateResponse) ProtoMessage() {} + +func (x *CheckTrialEarlyStoppingStateResponse) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[17] + 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 CheckTrialEarlyStoppingStateResponse.ProtoReflect.Descriptor instead. +func (*CheckTrialEarlyStoppingStateResponse) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1_vizier_service_proto_rawDescGZIP(), []int{17} +} + +func (x *CheckTrialEarlyStoppingStateResponse) GetShouldStop() bool { + if x != nil { + return x.ShouldStop + } + return false +} + +// This message will be placed in the metadata field of a +// google.longrunning.Operation associated with a CheckTrialEarlyStoppingState +// request. +type CheckTrialEarlyStoppingStateMetatdata struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // Operation metadata for suggesting Trials. + GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"` + // The name of the Study that the Trial belongs to. + Study string `protobuf:"bytes,2,opt,name=study,proto3" json:"study,omitempty"` + // The Trial name. + Trial string `protobuf:"bytes,3,opt,name=trial,proto3" json:"trial,omitempty"` +} + +func (x *CheckTrialEarlyStoppingStateMetatdata) Reset() { + *x = CheckTrialEarlyStoppingStateMetatdata{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[18] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *CheckTrialEarlyStoppingStateMetatdata) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*CheckTrialEarlyStoppingStateMetatdata) ProtoMessage() {} + +func (x *CheckTrialEarlyStoppingStateMetatdata) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[18] + 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 CheckTrialEarlyStoppingStateMetatdata.ProtoReflect.Descriptor instead. +func (*CheckTrialEarlyStoppingStateMetatdata) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1_vizier_service_proto_rawDescGZIP(), []int{18} +} + +func (x *CheckTrialEarlyStoppingStateMetatdata) GetGenericMetadata() *GenericOperationMetadata { + if x != nil { + return x.GenericMetadata + } + return nil +} + +func (x *CheckTrialEarlyStoppingStateMetatdata) GetStudy() string { + if x != nil { + return x.Study + } + return "" +} + +func (x *CheckTrialEarlyStoppingStateMetatdata) GetTrial() string { + if x != nil { + return x.Trial + } + return "" +} + +// Request message for [VizierService.StopTrial][google.cloud.aiplatform.v1.VizierService.StopTrial]. +type StopTrialRequest struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // Required. The Trial's name. + // Format: + // `projects/{project}/locations/{location}/studies/{study}/trials/{trial}` + Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` +} + +func (x *StopTrialRequest) Reset() { + *x = StopTrialRequest{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[19] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *StopTrialRequest) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*StopTrialRequest) ProtoMessage() {} + +func (x *StopTrialRequest) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[19] + 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 StopTrialRequest.ProtoReflect.Descriptor instead. +func (*StopTrialRequest) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1_vizier_service_proto_rawDescGZIP(), []int{19} +} + +func (x *StopTrialRequest) GetName() string { + if x != nil { + return x.Name + } + return "" +} + +// Request message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials]. +type ListOptimalTrialsRequest struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // Required. The name of the Study that the optimal Trial belongs to. + Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` +} + +func (x *ListOptimalTrialsRequest) Reset() { + *x = ListOptimalTrialsRequest{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[20] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *ListOptimalTrialsRequest) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*ListOptimalTrialsRequest) ProtoMessage() {} + +func (x *ListOptimalTrialsRequest) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[20] + 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 ListOptimalTrialsRequest.ProtoReflect.Descriptor instead. +func (*ListOptimalTrialsRequest) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1_vizier_service_proto_rawDescGZIP(), []int{20} +} + +func (x *ListOptimalTrialsRequest) GetParent() string { + if x != nil { + return x.Parent + } + return "" +} + +// Response message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials]. +type ListOptimalTrialsResponse struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // The pareto-optimal Trials for multiple objective Study or the + // optimal trial for single objective Study. The definition of + // pareto-optimal can be checked in wiki page. + // https://en.wikipedia.org/wiki/Pareto_efficiency + OptimalTrials []*Trial `protobuf:"bytes,1,rep,name=optimal_trials,json=optimalTrials,proto3" json:"optimal_trials,omitempty"` +} + +func (x *ListOptimalTrialsResponse) Reset() { + *x = ListOptimalTrialsResponse{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[21] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *ListOptimalTrialsResponse) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*ListOptimalTrialsResponse) ProtoMessage() {} + +func (x *ListOptimalTrialsResponse) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[21] + 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 ListOptimalTrialsResponse.ProtoReflect.Descriptor instead. +func (*ListOptimalTrialsResponse) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1_vizier_service_proto_rawDescGZIP(), []int{21} +} + +func (x *ListOptimalTrialsResponse) GetOptimalTrials() []*Trial { + if x != nil { + return x.OptimalTrials + } + return nil +} + +var File_google_cloud_aiplatform_v1_vizier_service_proto protoreflect.FileDescriptor + +var file_google_cloud_aiplatform_v1_vizier_service_proto_rawDesc = []byte{ + 0x0a, 0x2f, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2f, 0x63, 0x6c, 0x6f, 0x75, 0x64, 0x2f, 0x61, + 0x69, 0x70, 0x6c, 0x61, 0x74, 0x66, 0x6f, 0x72, 0x6d, 0x2f, 0x76, 0x31, 0x2f, 0x76, 0x69, 0x7a, + 0x69, 0x65, 0x72, 0x5f, 0x73, 0x65, 0x72, 0x76, 0x69, 0x63, 0x65, 0x2e, 0x70, 0x72, 0x6f, 0x74, + 0x6f, 0x12, 0x1a, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2e, 0x63, 0x6c, 0x6f, 0x75, 0x64, 0x2e, + 0x61, 0x69, 0x70, 0x6c, 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file_google_cloud_aiplatform_v1_vizier_service_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1_vizier_service_proto_rawDescData) + }) + return file_google_cloud_aiplatform_v1_vizier_service_proto_rawDescData +} + +var file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes = make([]protoimpl.MessageInfo, 22) +var file_google_cloud_aiplatform_v1_vizier_service_proto_goTypes = []interface{}{ + (*GetStudyRequest)(nil), // 0: google.cloud.aiplatform.v1.GetStudyRequest + (*CreateStudyRequest)(nil), // 1: google.cloud.aiplatform.v1.CreateStudyRequest + (*ListStudiesRequest)(nil), // 2: google.cloud.aiplatform.v1.ListStudiesRequest + (*ListStudiesResponse)(nil), // 3: google.cloud.aiplatform.v1.ListStudiesResponse + (*DeleteStudyRequest)(nil), // 4: google.cloud.aiplatform.v1.DeleteStudyRequest + (*LookupStudyRequest)(nil), // 5: google.cloud.aiplatform.v1.LookupStudyRequest + (*SuggestTrialsRequest)(nil), // 6: google.cloud.aiplatform.v1.SuggestTrialsRequest + (*SuggestTrialsResponse)(nil), // 7: google.cloud.aiplatform.v1.SuggestTrialsResponse + (*SuggestTrialsMetadata)(nil), // 8: google.cloud.aiplatform.v1.SuggestTrialsMetadata + (*CreateTrialRequest)(nil), // 9: google.cloud.aiplatform.v1.CreateTrialRequest + (*GetTrialRequest)(nil), // 10: google.cloud.aiplatform.v1.GetTrialRequest + (*ListTrialsRequest)(nil), // 11: google.cloud.aiplatform.v1.ListTrialsRequest + (*ListTrialsResponse)(nil), // 12: google.cloud.aiplatform.v1.ListTrialsResponse + (*AddTrialMeasurementRequest)(nil), // 13: google.cloud.aiplatform.v1.AddTrialMeasurementRequest + (*CompleteTrialRequest)(nil), // 14: google.cloud.aiplatform.v1.CompleteTrialRequest + (*DeleteTrialRequest)(nil), // 15: google.cloud.aiplatform.v1.DeleteTrialRequest + (*CheckTrialEarlyStoppingStateRequest)(nil), // 16: google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateRequest + (*CheckTrialEarlyStoppingStateResponse)(nil), // 17: google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateResponse + (*CheckTrialEarlyStoppingStateMetatdata)(nil), // 18: google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateMetatdata + (*StopTrialRequest)(nil), // 19: google.cloud.aiplatform.v1.StopTrialRequest + (*ListOptimalTrialsRequest)(nil), // 20: google.cloud.aiplatform.v1.ListOptimalTrialsRequest + (*ListOptimalTrialsResponse)(nil), // 21: google.cloud.aiplatform.v1.ListOptimalTrialsResponse + (*Study)(nil), // 22: google.cloud.aiplatform.v1.Study + (*Trial)(nil), // 23: google.cloud.aiplatform.v1.Trial + (Study_State)(0), // 24: google.cloud.aiplatform.v1.Study.State + (*timestamppb.Timestamp)(nil), // 25: google.protobuf.Timestamp + (*GenericOperationMetadata)(nil), // 26: google.cloud.aiplatform.v1.GenericOperationMetadata + (*Measurement)(nil), // 27: google.cloud.aiplatform.v1.Measurement + (*emptypb.Empty)(nil), // 28: google.protobuf.Empty + (*longrunning.Operation)(nil), // 29: google.longrunning.Operation +} +var file_google_cloud_aiplatform_v1_vizier_service_proto_depIdxs = []int32{ + 22, // 0: google.cloud.aiplatform.v1.CreateStudyRequest.study:type_name -> google.cloud.aiplatform.v1.Study + 22, // 1: google.cloud.aiplatform.v1.ListStudiesResponse.studies:type_name -> google.cloud.aiplatform.v1.Study + 23, // 2: google.cloud.aiplatform.v1.SuggestTrialsResponse.trials:type_name -> google.cloud.aiplatform.v1.Trial + 24, // 3: google.cloud.aiplatform.v1.SuggestTrialsResponse.study_state:type_name -> google.cloud.aiplatform.v1.Study.State + 25, // 4: google.cloud.aiplatform.v1.SuggestTrialsResponse.start_time:type_name -> google.protobuf.Timestamp + 25, // 5: google.cloud.aiplatform.v1.SuggestTrialsResponse.end_time:type_name -> google.protobuf.Timestamp + 26, // 6: google.cloud.aiplatform.v1.SuggestTrialsMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1.GenericOperationMetadata + 23, // 7: google.cloud.aiplatform.v1.CreateTrialRequest.trial:type_name -> google.cloud.aiplatform.v1.Trial + 23, // 8: google.cloud.aiplatform.v1.ListTrialsResponse.trials:type_name -> google.cloud.aiplatform.v1.Trial + 27, // 9: google.cloud.aiplatform.v1.AddTrialMeasurementRequest.measurement:type_name -> google.cloud.aiplatform.v1.Measurement + 27, // 10: google.cloud.aiplatform.v1.CompleteTrialRequest.final_measurement:type_name -> google.cloud.aiplatform.v1.Measurement + 26, // 11: google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateMetatdata.generic_metadata:type_name -> google.cloud.aiplatform.v1.GenericOperationMetadata + 23, // 12: google.cloud.aiplatform.v1.ListOptimalTrialsResponse.optimal_trials:type_name -> google.cloud.aiplatform.v1.Trial + 1, // 13: google.cloud.aiplatform.v1.VizierService.CreateStudy:input_type -> google.cloud.aiplatform.v1.CreateStudyRequest + 0, // 14: google.cloud.aiplatform.v1.VizierService.GetStudy:input_type -> google.cloud.aiplatform.v1.GetStudyRequest + 2, // 15: google.cloud.aiplatform.v1.VizierService.ListStudies:input_type -> google.cloud.aiplatform.v1.ListStudiesRequest + 4, // 16: google.cloud.aiplatform.v1.VizierService.DeleteStudy:input_type -> google.cloud.aiplatform.v1.DeleteStudyRequest + 5, // 17: google.cloud.aiplatform.v1.VizierService.LookupStudy:input_type -> google.cloud.aiplatform.v1.LookupStudyRequest + 6, // 18: google.cloud.aiplatform.v1.VizierService.SuggestTrials:input_type -> google.cloud.aiplatform.v1.SuggestTrialsRequest + 9, // 19: google.cloud.aiplatform.v1.VizierService.CreateTrial:input_type -> google.cloud.aiplatform.v1.CreateTrialRequest + 10, // 20: google.cloud.aiplatform.v1.VizierService.GetTrial:input_type -> google.cloud.aiplatform.v1.GetTrialRequest + 11, // 21: google.cloud.aiplatform.v1.VizierService.ListTrials:input_type -> google.cloud.aiplatform.v1.ListTrialsRequest + 13, // 22: google.cloud.aiplatform.v1.VizierService.AddTrialMeasurement:input_type -> google.cloud.aiplatform.v1.AddTrialMeasurementRequest + 14, // 23: google.cloud.aiplatform.v1.VizierService.CompleteTrial:input_type -> google.cloud.aiplatform.v1.CompleteTrialRequest + 15, // 24: google.cloud.aiplatform.v1.VizierService.DeleteTrial:input_type -> google.cloud.aiplatform.v1.DeleteTrialRequest + 16, // 25: google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState:input_type -> google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateRequest + 19, // 26: google.cloud.aiplatform.v1.VizierService.StopTrial:input_type -> google.cloud.aiplatform.v1.StopTrialRequest + 20, // 27: google.cloud.aiplatform.v1.VizierService.ListOptimalTrials:input_type -> google.cloud.aiplatform.v1.ListOptimalTrialsRequest + 22, // 28: google.cloud.aiplatform.v1.VizierService.CreateStudy:output_type -> google.cloud.aiplatform.v1.Study + 22, // 29: google.cloud.aiplatform.v1.VizierService.GetStudy:output_type -> google.cloud.aiplatform.v1.Study + 3, // 30: google.cloud.aiplatform.v1.VizierService.ListStudies:output_type -> google.cloud.aiplatform.v1.ListStudiesResponse + 28, // 31: google.cloud.aiplatform.v1.VizierService.DeleteStudy:output_type -> google.protobuf.Empty + 22, // 32: google.cloud.aiplatform.v1.VizierService.LookupStudy:output_type -> google.cloud.aiplatform.v1.Study + 29, // 33: google.cloud.aiplatform.v1.VizierService.SuggestTrials:output_type -> google.longrunning.Operation + 23, // 34: google.cloud.aiplatform.v1.VizierService.CreateTrial:output_type -> google.cloud.aiplatform.v1.Trial + 23, // 35: google.cloud.aiplatform.v1.VizierService.GetTrial:output_type -> google.cloud.aiplatform.v1.Trial + 12, // 36: google.cloud.aiplatform.v1.VizierService.ListTrials:output_type -> google.cloud.aiplatform.v1.ListTrialsResponse + 23, // 37: google.cloud.aiplatform.v1.VizierService.AddTrialMeasurement:output_type -> google.cloud.aiplatform.v1.Trial + 23, // 38: google.cloud.aiplatform.v1.VizierService.CompleteTrial:output_type -> google.cloud.aiplatform.v1.Trial + 28, // 39: google.cloud.aiplatform.v1.VizierService.DeleteTrial:output_type -> google.protobuf.Empty + 29, // 40: google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState:output_type -> google.longrunning.Operation + 23, // 41: google.cloud.aiplatform.v1.VizierService.StopTrial:output_type -> google.cloud.aiplatform.v1.Trial + 21, // 42: google.cloud.aiplatform.v1.VizierService.ListOptimalTrials:output_type -> google.cloud.aiplatform.v1.ListOptimalTrialsResponse + 28, // [28:43] is the sub-list for method output_type + 13, // [13:28] is the sub-list for method input_type + 13, // [13:13] is the sub-list for extension type_name + 13, // [13:13] is the sub-list for extension extendee + 0, // [0:13] is the sub-list for field type_name +} + +func init() { file_google_cloud_aiplatform_v1_vizier_service_proto_init() } +func file_google_cloud_aiplatform_v1_vizier_service_proto_init() { + if File_google_cloud_aiplatform_v1_vizier_service_proto != nil { + return + } + file_google_cloud_aiplatform_v1_operation_proto_init() + file_google_cloud_aiplatform_v1_study_proto_init() + if !protoimpl.UnsafeEnabled { + file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*GetStudyRequest); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*CreateStudyRequest); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*ListStudiesRequest); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*ListStudiesResponse); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*DeleteStudyRequest); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*LookupStudyRequest); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[6].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*SuggestTrialsRequest); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[7].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*SuggestTrialsResponse); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[8].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*SuggestTrialsMetadata); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[9].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*CreateTrialRequest); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[10].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*GetTrialRequest); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[11].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*ListTrialsRequest); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[12].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*ListTrialsResponse); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[13].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*AddTrialMeasurementRequest); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[14].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*CompleteTrialRequest); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[15].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*DeleteTrialRequest); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[16].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*CheckTrialEarlyStoppingStateRequest); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[17].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*CheckTrialEarlyStoppingStateResponse); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[18].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*CheckTrialEarlyStoppingStateMetatdata); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[19].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*StopTrialRequest); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[20].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*ListOptimalTrialsRequest); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes[21].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*ListOptimalTrialsResponse); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + } + type x struct{} + out := protoimpl.TypeBuilder{ + File: protoimpl.DescBuilder{ + GoPackagePath: reflect.TypeOf(x{}).PkgPath(), + RawDescriptor: file_google_cloud_aiplatform_v1_vizier_service_proto_rawDesc, + NumEnums: 0, + NumMessages: 22, + NumExtensions: 0, + NumServices: 1, + }, + GoTypes: file_google_cloud_aiplatform_v1_vizier_service_proto_goTypes, + DependencyIndexes: file_google_cloud_aiplatform_v1_vizier_service_proto_depIdxs, + MessageInfos: file_google_cloud_aiplatform_v1_vizier_service_proto_msgTypes, + }.Build() + File_google_cloud_aiplatform_v1_vizier_service_proto = out.File + file_google_cloud_aiplatform_v1_vizier_service_proto_rawDesc = nil + file_google_cloud_aiplatform_v1_vizier_service_proto_goTypes = nil + file_google_cloud_aiplatform_v1_vizier_service_proto_depIdxs = nil +} + +// Reference imports to suppress errors if they are not otherwise used. +var _ context.Context +var _ grpc.ClientConnInterface + +// This is a compile-time assertion to ensure that this generated file +// is compatible with the grpc package it is being compiled against. +const _ = grpc.SupportPackageIsVersion6 + +// VizierServiceClient is the client API for VizierService service. +// +// For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream. +type VizierServiceClient interface { + // Creates a Study. A resource name will be generated after creation of the + // Study. + CreateStudy(ctx context.Context, in *CreateStudyRequest, opts ...grpc.CallOption) (*Study, error) + // Gets a Study by name. + GetStudy(ctx context.Context, in *GetStudyRequest, opts ...grpc.CallOption) (*Study, error) + // Lists all the studies in a region for an associated project. + ListStudies(ctx context.Context, in *ListStudiesRequest, opts ...grpc.CallOption) (*ListStudiesResponse, error) + // Deletes a Study. + DeleteStudy(ctx context.Context, in *DeleteStudyRequest, opts ...grpc.CallOption) (*emptypb.Empty, error) + // Looks a study up using the user-defined display_name field instead of the + // fully qualified resource name. + LookupStudy(ctx context.Context, in *LookupStudyRequest, opts ...grpc.CallOption) (*Study, error) + // Adds one or more Trials to a Study, with parameter values + // suggested by Vertex Vizier. Returns a long-running + // operation associated with the generation of Trial suggestions. + // When this long-running operation succeeds, it will contain + // a [SuggestTrialsResponse][google.cloud.ml.v1.SuggestTrialsResponse]. + SuggestTrials(ctx context.Context, in *SuggestTrialsRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) + // Adds a user provided Trial to a Study. + CreateTrial(ctx context.Context, in *CreateTrialRequest, opts ...grpc.CallOption) (*Trial, error) + // Gets a Trial. + GetTrial(ctx context.Context, in *GetTrialRequest, opts ...grpc.CallOption) (*Trial, error) + // Lists the Trials associated with a Study. + ListTrials(ctx context.Context, in *ListTrialsRequest, opts ...grpc.CallOption) (*ListTrialsResponse, error) + // Adds a measurement of the objective metrics to a Trial. This measurement + // is assumed to have been taken before the Trial is complete. + AddTrialMeasurement(ctx context.Context, in *AddTrialMeasurementRequest, opts ...grpc.CallOption) (*Trial, error) + // Marks a Trial as complete. + CompleteTrial(ctx context.Context, in *CompleteTrialRequest, opts ...grpc.CallOption) (*Trial, error) + // Deletes a Trial. + DeleteTrial(ctx context.Context, in *DeleteTrialRequest, opts ...grpc.CallOption) (*emptypb.Empty, error) + // Checks whether a Trial should stop or not. Returns a + // long-running operation. When the operation is successful, + // it will contain a + // [CheckTrialEarlyStoppingStateResponse][google.cloud.ml.v1.CheckTrialEarlyStoppingStateResponse]. + CheckTrialEarlyStoppingState(ctx context.Context, in *CheckTrialEarlyStoppingStateRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) + // Stops a Trial. + StopTrial(ctx context.Context, in *StopTrialRequest, opts ...grpc.CallOption) (*Trial, error) + // Lists the pareto-optimal Trials for multi-objective Study or the + // optimal Trials for single-objective Study. The definition of + // pareto-optimal can be checked in wiki page. + // https://en.wikipedia.org/wiki/Pareto_efficiency + ListOptimalTrials(ctx context.Context, in *ListOptimalTrialsRequest, opts ...grpc.CallOption) (*ListOptimalTrialsResponse, error) +} + +type vizierServiceClient struct { + cc grpc.ClientConnInterface +} + +func NewVizierServiceClient(cc grpc.ClientConnInterface) VizierServiceClient { + return &vizierServiceClient{cc} +} + +func (c *vizierServiceClient) CreateStudy(ctx context.Context, in *CreateStudyRequest, opts ...grpc.CallOption) (*Study, error) { + out := new(Study) + err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.VizierService/CreateStudy", in, out, opts...) + if err != nil { + return nil, err + } + return out, nil +} + +func (c *vizierServiceClient) GetStudy(ctx context.Context, in *GetStudyRequest, opts ...grpc.CallOption) (*Study, error) { + out := new(Study) + err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.VizierService/GetStudy", in, out, opts...) + if err != nil { + return nil, err + } + return out, nil +} + +func (c *vizierServiceClient) ListStudies(ctx context.Context, in *ListStudiesRequest, opts ...grpc.CallOption) (*ListStudiesResponse, error) { + out := new(ListStudiesResponse) + err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.VizierService/ListStudies", in, out, opts...) + if err != nil { + return nil, err + } + return out, nil +} + +func (c *vizierServiceClient) DeleteStudy(ctx context.Context, in *DeleteStudyRequest, opts ...grpc.CallOption) (*emptypb.Empty, error) { + out := new(emptypb.Empty) + err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.VizierService/DeleteStudy", in, out, opts...) + if err != nil { + return nil, err + } + return out, nil +} + +func (c *vizierServiceClient) LookupStudy(ctx context.Context, in *LookupStudyRequest, opts ...grpc.CallOption) (*Study, error) { + out := new(Study) + err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.VizierService/LookupStudy", in, out, opts...) + if err != nil { + return nil, err + } + return out, nil +} + +func (c *vizierServiceClient) SuggestTrials(ctx context.Context, in *SuggestTrialsRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) { + out := new(longrunning.Operation) + err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.VizierService/SuggestTrials", in, out, opts...) + if err != nil { + return nil, err + } + return out, nil +} + +func (c *vizierServiceClient) CreateTrial(ctx context.Context, in *CreateTrialRequest, opts ...grpc.CallOption) (*Trial, error) { + out := new(Trial) + err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.VizierService/CreateTrial", in, out, opts...) + if err != nil { + return nil, err + } + return out, nil +} + +func (c *vizierServiceClient) GetTrial(ctx context.Context, in *GetTrialRequest, opts ...grpc.CallOption) (*Trial, error) { + out := new(Trial) + err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.VizierService/GetTrial", in, out, opts...) + if err != nil { + return nil, err + } + return out, nil +} + +func (c *vizierServiceClient) ListTrials(ctx context.Context, in *ListTrialsRequest, opts ...grpc.CallOption) (*ListTrialsResponse, error) { + out := new(ListTrialsResponse) + err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.VizierService/ListTrials", in, out, opts...) + if err != nil { + return nil, err + } + return out, nil +} + +func (c *vizierServiceClient) AddTrialMeasurement(ctx context.Context, in *AddTrialMeasurementRequest, opts ...grpc.CallOption) (*Trial, error) { + out := new(Trial) + err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.VizierService/AddTrialMeasurement", in, out, opts...) + if err != nil { + return nil, err + } + return out, nil +} + +func (c *vizierServiceClient) CompleteTrial(ctx context.Context, in *CompleteTrialRequest, opts ...grpc.CallOption) (*Trial, error) { + out := new(Trial) + err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.VizierService/CompleteTrial", in, out, opts...) + if err != nil { + return nil, err + } + return out, nil +} + +func (c *vizierServiceClient) DeleteTrial(ctx context.Context, in *DeleteTrialRequest, opts ...grpc.CallOption) (*emptypb.Empty, error) { + out := new(emptypb.Empty) + err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.VizierService/DeleteTrial", in, out, opts...) + if err != nil { + return nil, err + } + return out, nil +} + +func (c *vizierServiceClient) CheckTrialEarlyStoppingState(ctx context.Context, in *CheckTrialEarlyStoppingStateRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) { + out := new(longrunning.Operation) + err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.VizierService/CheckTrialEarlyStoppingState", in, out, opts...) + if err != nil { + return nil, err + } + return out, nil +} + +func (c *vizierServiceClient) StopTrial(ctx context.Context, in *StopTrialRequest, opts ...grpc.CallOption) (*Trial, error) { + out := new(Trial) + err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.VizierService/StopTrial", in, out, opts...) + if err != nil { + return nil, err + } + return out, nil +} + +func (c *vizierServiceClient) ListOptimalTrials(ctx context.Context, in *ListOptimalTrialsRequest, opts ...grpc.CallOption) (*ListOptimalTrialsResponse, error) { + out := new(ListOptimalTrialsResponse) + err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.VizierService/ListOptimalTrials", in, out, opts...) + if err != nil { + return nil, err + } + return out, nil +} + +// VizierServiceServer is the server API for VizierService service. +type VizierServiceServer interface { + // Creates a Study. A resource name will be generated after creation of the + // Study. + CreateStudy(context.Context, *CreateStudyRequest) (*Study, error) + // Gets a Study by name. + GetStudy(context.Context, *GetStudyRequest) (*Study, error) + // Lists all the studies in a region for an associated project. + ListStudies(context.Context, *ListStudiesRequest) (*ListStudiesResponse, error) + // Deletes a Study. + DeleteStudy(context.Context, *DeleteStudyRequest) (*emptypb.Empty, error) + // Looks a study up using the user-defined display_name field instead of the + // fully qualified resource name. + LookupStudy(context.Context, *LookupStudyRequest) (*Study, error) + // Adds one or more Trials to a Study, with parameter values + // suggested by Vertex Vizier. Returns a long-running + // operation associated with the generation of Trial suggestions. + // When this long-running operation succeeds, it will contain + // a [SuggestTrialsResponse][google.cloud.ml.v1.SuggestTrialsResponse]. + SuggestTrials(context.Context, *SuggestTrialsRequest) (*longrunning.Operation, error) + // Adds a user provided Trial to a Study. + CreateTrial(context.Context, *CreateTrialRequest) (*Trial, error) + // Gets a Trial. + GetTrial(context.Context, *GetTrialRequest) (*Trial, error) + // Lists the Trials associated with a Study. + ListTrials(context.Context, *ListTrialsRequest) (*ListTrialsResponse, error) + // Adds a measurement of the objective metrics to a Trial. This measurement + // is assumed to have been taken before the Trial is complete. + AddTrialMeasurement(context.Context, *AddTrialMeasurementRequest) (*Trial, error) + // Marks a Trial as complete. + CompleteTrial(context.Context, *CompleteTrialRequest) (*Trial, error) + // Deletes a Trial. + DeleteTrial(context.Context, *DeleteTrialRequest) (*emptypb.Empty, error) + // Checks whether a Trial should stop or not. Returns a + // long-running operation. When the operation is successful, + // it will contain a + // [CheckTrialEarlyStoppingStateResponse][google.cloud.ml.v1.CheckTrialEarlyStoppingStateResponse]. + CheckTrialEarlyStoppingState(context.Context, *CheckTrialEarlyStoppingStateRequest) (*longrunning.Operation, error) + // Stops a Trial. + StopTrial(context.Context, *StopTrialRequest) (*Trial, error) + // Lists the pareto-optimal Trials for multi-objective Study or the + // optimal Trials for single-objective Study. The definition of + // pareto-optimal can be checked in wiki page. + // https://en.wikipedia.org/wiki/Pareto_efficiency + ListOptimalTrials(context.Context, *ListOptimalTrialsRequest) (*ListOptimalTrialsResponse, error) +} + +// UnimplementedVizierServiceServer can be embedded to have forward compatible implementations. +type UnimplementedVizierServiceServer struct { +} + +func (*UnimplementedVizierServiceServer) CreateStudy(context.Context, *CreateStudyRequest) (*Study, error) { + return nil, status.Errorf(codes.Unimplemented, "method CreateStudy not implemented") +} +func (*UnimplementedVizierServiceServer) GetStudy(context.Context, *GetStudyRequest) (*Study, error) { + return nil, status.Errorf(codes.Unimplemented, "method GetStudy not implemented") +} +func (*UnimplementedVizierServiceServer) ListStudies(context.Context, *ListStudiesRequest) (*ListStudiesResponse, error) { + return nil, status.Errorf(codes.Unimplemented, "method ListStudies not implemented") +} +func (*UnimplementedVizierServiceServer) DeleteStudy(context.Context, *DeleteStudyRequest) (*emptypb.Empty, error) { + return nil, status.Errorf(codes.Unimplemented, "method DeleteStudy not implemented") +} +func (*UnimplementedVizierServiceServer) LookupStudy(context.Context, *LookupStudyRequest) (*Study, error) { + return nil, status.Errorf(codes.Unimplemented, "method LookupStudy not implemented") +} +func (*UnimplementedVizierServiceServer) SuggestTrials(context.Context, *SuggestTrialsRequest) (*longrunning.Operation, error) { + return nil, status.Errorf(codes.Unimplemented, "method SuggestTrials not implemented") +} +func (*UnimplementedVizierServiceServer) CreateTrial(context.Context, *CreateTrialRequest) (*Trial, error) { + return nil, status.Errorf(codes.Unimplemented, "method CreateTrial not implemented") +} +func (*UnimplementedVizierServiceServer) GetTrial(context.Context, *GetTrialRequest) (*Trial, error) { + return nil, status.Errorf(codes.Unimplemented, "method GetTrial not implemented") +} +func (*UnimplementedVizierServiceServer) ListTrials(context.Context, *ListTrialsRequest) (*ListTrialsResponse, error) { + return nil, status.Errorf(codes.Unimplemented, "method ListTrials not implemented") +} +func (*UnimplementedVizierServiceServer) AddTrialMeasurement(context.Context, *AddTrialMeasurementRequest) (*Trial, error) { + return nil, status.Errorf(codes.Unimplemented, "method AddTrialMeasurement not implemented") +} +func (*UnimplementedVizierServiceServer) CompleteTrial(context.Context, *CompleteTrialRequest) (*Trial, error) { + return nil, status.Errorf(codes.Unimplemented, "method CompleteTrial not implemented") +} +func (*UnimplementedVizierServiceServer) DeleteTrial(context.Context, *DeleteTrialRequest) (*emptypb.Empty, error) { + return nil, status.Errorf(codes.Unimplemented, "method DeleteTrial not implemented") +} +func (*UnimplementedVizierServiceServer) CheckTrialEarlyStoppingState(context.Context, *CheckTrialEarlyStoppingStateRequest) (*longrunning.Operation, error) { + return nil, status.Errorf(codes.Unimplemented, "method CheckTrialEarlyStoppingState not implemented") +} +func (*UnimplementedVizierServiceServer) StopTrial(context.Context, *StopTrialRequest) (*Trial, error) { + return nil, status.Errorf(codes.Unimplemented, "method StopTrial not implemented") +} +func (*UnimplementedVizierServiceServer) ListOptimalTrials(context.Context, *ListOptimalTrialsRequest) (*ListOptimalTrialsResponse, error) { + return nil, status.Errorf(codes.Unimplemented, "method ListOptimalTrials not implemented") +} + +func RegisterVizierServiceServer(s *grpc.Server, srv VizierServiceServer) { + s.RegisterService(&_VizierService_serviceDesc, srv) +} + +func _VizierService_CreateStudy_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { + in := new(CreateStudyRequest) + if err := dec(in); err != nil { + return nil, err + } + if interceptor == nil { + return srv.(VizierServiceServer).CreateStudy(ctx, in) + } + info := &grpc.UnaryServerInfo{ + Server: srv, + FullMethod: "/google.cloud.aiplatform.v1.VizierService/CreateStudy", + } + handler := func(ctx context.Context, req interface{}) (interface{}, error) { + return srv.(VizierServiceServer).CreateStudy(ctx, req.(*CreateStudyRequest)) + } + return interceptor(ctx, in, info, handler) +} + +func _VizierService_GetStudy_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { + in := new(GetStudyRequest) + if err := dec(in); err != nil { + return nil, err + } + if interceptor == nil { + return srv.(VizierServiceServer).GetStudy(ctx, in) + } + info := &grpc.UnaryServerInfo{ + Server: srv, + FullMethod: "/google.cloud.aiplatform.v1.VizierService/GetStudy", + } + handler := func(ctx context.Context, req interface{}) (interface{}, error) { + return srv.(VizierServiceServer).GetStudy(ctx, req.(*GetStudyRequest)) + } + return interceptor(ctx, in, info, handler) +} + +func _VizierService_ListStudies_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { + in := new(ListStudiesRequest) + if err := dec(in); err != nil { + return nil, err + } + if interceptor == nil { + return srv.(VizierServiceServer).ListStudies(ctx, in) + } + info := &grpc.UnaryServerInfo{ + Server: srv, + FullMethod: "/google.cloud.aiplatform.v1.VizierService/ListStudies", + } + handler := func(ctx context.Context, req interface{}) (interface{}, error) { + return srv.(VizierServiceServer).ListStudies(ctx, req.(*ListStudiesRequest)) + } + return interceptor(ctx, in, info, handler) +} + +func _VizierService_DeleteStudy_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { + in := new(DeleteStudyRequest) + if err := dec(in); err != nil { + return nil, err + } + if interceptor == nil { + return srv.(VizierServiceServer).DeleteStudy(ctx, in) + } + info := &grpc.UnaryServerInfo{ + Server: srv, + FullMethod: "/google.cloud.aiplatform.v1.VizierService/DeleteStudy", + } + handler := func(ctx context.Context, req interface{}) (interface{}, error) { + return srv.(VizierServiceServer).DeleteStudy(ctx, req.(*DeleteStudyRequest)) + } + return interceptor(ctx, in, info, handler) +} + +func _VizierService_LookupStudy_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { + in := new(LookupStudyRequest) + if err := dec(in); err != nil { + return nil, err + } + if interceptor == nil { + return srv.(VizierServiceServer).LookupStudy(ctx, in) + } + info := &grpc.UnaryServerInfo{ + Server: srv, + FullMethod: "/google.cloud.aiplatform.v1.VizierService/LookupStudy", + } + handler := func(ctx context.Context, req interface{}) (interface{}, error) { + return srv.(VizierServiceServer).LookupStudy(ctx, req.(*LookupStudyRequest)) + } + return interceptor(ctx, in, info, handler) +} + +func _VizierService_SuggestTrials_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { + in := new(SuggestTrialsRequest) + if err := dec(in); err != nil { + return nil, err + } + if interceptor == nil { + return srv.(VizierServiceServer).SuggestTrials(ctx, in) + } + info := &grpc.UnaryServerInfo{ + Server: srv, + FullMethod: "/google.cloud.aiplatform.v1.VizierService/SuggestTrials", + } + handler := func(ctx context.Context, req interface{}) (interface{}, error) { + return srv.(VizierServiceServer).SuggestTrials(ctx, req.(*SuggestTrialsRequest)) + } + return interceptor(ctx, in, info, handler) +} + +func _VizierService_CreateTrial_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { + in := new(CreateTrialRequest) + if err := dec(in); err != nil { + return nil, err + } + if interceptor == nil { + return srv.(VizierServiceServer).CreateTrial(ctx, in) + } + info := &grpc.UnaryServerInfo{ + Server: srv, + FullMethod: "/google.cloud.aiplatform.v1.VizierService/CreateTrial", + } + handler := func(ctx context.Context, req interface{}) (interface{}, error) { + return srv.(VizierServiceServer).CreateTrial(ctx, req.(*CreateTrialRequest)) + } + return interceptor(ctx, in, info, handler) +} + +func _VizierService_GetTrial_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { + in := new(GetTrialRequest) + if err := dec(in); err != nil { + return nil, err + } + if interceptor == nil { + return srv.(VizierServiceServer).GetTrial(ctx, in) + } + info := &grpc.UnaryServerInfo{ + Server: srv, + FullMethod: "/google.cloud.aiplatform.v1.VizierService/GetTrial", + } + handler := func(ctx context.Context, req interface{}) (interface{}, error) { + return srv.(VizierServiceServer).GetTrial(ctx, req.(*GetTrialRequest)) + } + return interceptor(ctx, in, info, handler) +} + +func _VizierService_ListTrials_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { + in := new(ListTrialsRequest) + if err := dec(in); err != nil { + return nil, err + } + if interceptor == nil { + return srv.(VizierServiceServer).ListTrials(ctx, in) + } + info := &grpc.UnaryServerInfo{ + Server: srv, + FullMethod: "/google.cloud.aiplatform.v1.VizierService/ListTrials", + } + handler := func(ctx context.Context, req interface{}) (interface{}, error) { + return srv.(VizierServiceServer).ListTrials(ctx, req.(*ListTrialsRequest)) + } + return interceptor(ctx, in, info, handler) +} + +func _VizierService_AddTrialMeasurement_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { + in := new(AddTrialMeasurementRequest) + if err := dec(in); err != nil { + return nil, err + } + if interceptor == nil { + return srv.(VizierServiceServer).AddTrialMeasurement(ctx, in) + } + info := &grpc.UnaryServerInfo{ + Server: srv, + FullMethod: "/google.cloud.aiplatform.v1.VizierService/AddTrialMeasurement", + } + handler := func(ctx context.Context, req interface{}) (interface{}, error) { + return srv.(VizierServiceServer).AddTrialMeasurement(ctx, req.(*AddTrialMeasurementRequest)) + } + return interceptor(ctx, in, info, handler) +} + +func _VizierService_CompleteTrial_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { + in := new(CompleteTrialRequest) + if err := dec(in); err != nil { + return nil, err + } + if interceptor == nil { + return srv.(VizierServiceServer).CompleteTrial(ctx, in) + } + info := &grpc.UnaryServerInfo{ + Server: srv, + FullMethod: "/google.cloud.aiplatform.v1.VizierService/CompleteTrial", + } + handler := func(ctx context.Context, req interface{}) (interface{}, error) { + return srv.(VizierServiceServer).CompleteTrial(ctx, req.(*CompleteTrialRequest)) + } + return interceptor(ctx, in, info, handler) +} + +func _VizierService_DeleteTrial_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { + in := new(DeleteTrialRequest) + if err := dec(in); err != nil { + return nil, err + } + if interceptor == nil { + return srv.(VizierServiceServer).DeleteTrial(ctx, in) + } + info := &grpc.UnaryServerInfo{ + Server: srv, + FullMethod: "/google.cloud.aiplatform.v1.VizierService/DeleteTrial", + } + handler := func(ctx context.Context, req interface{}) (interface{}, error) { + return srv.(VizierServiceServer).DeleteTrial(ctx, req.(*DeleteTrialRequest)) + } + return interceptor(ctx, in, info, handler) +} + +func _VizierService_CheckTrialEarlyStoppingState_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { + in := new(CheckTrialEarlyStoppingStateRequest) + if err := dec(in); err != nil { + return nil, err + } + if interceptor == nil { + return srv.(VizierServiceServer).CheckTrialEarlyStoppingState(ctx, in) + } + info := &grpc.UnaryServerInfo{ + Server: srv, + FullMethod: "/google.cloud.aiplatform.v1.VizierService/CheckTrialEarlyStoppingState", + } + handler := func(ctx context.Context, req interface{}) (interface{}, error) { + return srv.(VizierServiceServer).CheckTrialEarlyStoppingState(ctx, req.(*CheckTrialEarlyStoppingStateRequest)) + } + return interceptor(ctx, in, info, handler) +} + +func _VizierService_StopTrial_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { + in := new(StopTrialRequest) + if err := dec(in); err != nil { + return nil, err + } + if interceptor == nil { + return srv.(VizierServiceServer).StopTrial(ctx, in) + } + info := &grpc.UnaryServerInfo{ + Server: srv, + FullMethod: "/google.cloud.aiplatform.v1.VizierService/StopTrial", + } + handler := func(ctx context.Context, req interface{}) (interface{}, error) { + return srv.(VizierServiceServer).StopTrial(ctx, req.(*StopTrialRequest)) + } + return interceptor(ctx, in, info, handler) +} + +func _VizierService_ListOptimalTrials_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { + in := new(ListOptimalTrialsRequest) + if err := dec(in); err != nil { + return nil, err + } + if interceptor == nil { + return srv.(VizierServiceServer).ListOptimalTrials(ctx, in) + } + info := &grpc.UnaryServerInfo{ + Server: srv, + FullMethod: "/google.cloud.aiplatform.v1.VizierService/ListOptimalTrials", + } + handler := func(ctx context.Context, req interface{}) (interface{}, error) { + return srv.(VizierServiceServer).ListOptimalTrials(ctx, req.(*ListOptimalTrialsRequest)) + } + return interceptor(ctx, in, info, handler) +} + +var _VizierService_serviceDesc = grpc.ServiceDesc{ + ServiceName: "google.cloud.aiplatform.v1.VizierService", + HandlerType: (*VizierServiceServer)(nil), + Methods: []grpc.MethodDesc{ + { + MethodName: "CreateStudy", + Handler: _VizierService_CreateStudy_Handler, + }, + { + MethodName: "GetStudy", + Handler: _VizierService_GetStudy_Handler, + }, + { + MethodName: "ListStudies", + Handler: _VizierService_ListStudies_Handler, + }, + { + MethodName: "DeleteStudy", + Handler: _VizierService_DeleteStudy_Handler, + }, + { + MethodName: "LookupStudy", + Handler: _VizierService_LookupStudy_Handler, + }, + { + MethodName: "SuggestTrials", + Handler: _VizierService_SuggestTrials_Handler, + }, + { + MethodName: "CreateTrial", + Handler: _VizierService_CreateTrial_Handler, + }, + { + MethodName: "GetTrial", + Handler: _VizierService_GetTrial_Handler, + }, + { + MethodName: "ListTrials", + Handler: _VizierService_ListTrials_Handler, + }, + { + MethodName: "AddTrialMeasurement", + Handler: _VizierService_AddTrialMeasurement_Handler, + }, + { + MethodName: "CompleteTrial", + Handler: _VizierService_CompleteTrial_Handler, + }, + { + MethodName: "DeleteTrial", + Handler: _VizierService_DeleteTrial_Handler, + }, + { + MethodName: "CheckTrialEarlyStoppingState", + Handler: _VizierService_CheckTrialEarlyStoppingState_Handler, + }, + { + MethodName: "StopTrial", + Handler: _VizierService_StopTrial_Handler, + }, + { + MethodName: "ListOptimalTrials", + Handler: _VizierService_ListOptimalTrials_Handler, + }, + }, + Streams: []grpc.StreamDesc{}, + Metadata: "google/cloud/aiplatform/v1/vizier_service.proto", +} diff --git a/googleapis/cloud/aiplatform/v1beta1/artifact.pb.go b/googleapis/cloud/aiplatform/v1beta1/artifact.pb.go index 1b22abdae..c2668f92e 100644 --- a/googleapis/cloud/aiplatform/v1beta1/artifact.pb.go +++ b/googleapis/cloud/aiplatform/v1beta1/artifact.pb.go @@ -140,6 +140,7 @@ type Artifact struct { // schemas within the local metadata store. SchemaVersion string `protobuf:"bytes,15,opt,name=schema_version,json=schemaVersion,proto3" json:"schema_version,omitempty"` // Properties of the Artifact. + // The size of this field should not exceed 200KB. Metadata *structpb.Struct `protobuf:"bytes,16,opt,name=metadata,proto3" json:"metadata,omitempty"` // Description of the Artifact Description string `protobuf:"bytes,17,opt,name=description,proto3" json:"description,omitempty"` diff --git a/googleapis/cloud/aiplatform/v1beta1/context.pb.go b/googleapis/cloud/aiplatform/v1beta1/context.pb.go index b8cc5e4ca..e2ad2ba15 100644 --- a/googleapis/cloud/aiplatform/v1beta1/context.pb.go +++ b/googleapis/cloud/aiplatform/v1beta1/context.pb.go @@ -80,6 +80,7 @@ type Context struct { // schemas within the local metadata store. SchemaVersion string `protobuf:"bytes,14,opt,name=schema_version,json=schemaVersion,proto3" json:"schema_version,omitempty"` // Properties of the Context. + // The size of this field should not exceed 200KB. Metadata *structpb.Struct `protobuf:"bytes,15,opt,name=metadata,proto3" json:"metadata,omitempty"` // Description of the Context Description string `protobuf:"bytes,16,opt,name=description,proto3" json:"description,omitempty"` diff --git a/googleapis/cloud/aiplatform/v1beta1/custom_job.pb.go b/googleapis/cloud/aiplatform/v1beta1/custom_job.pb.go index f693f2cc3..44d23a7d9 100644 --- a/googleapis/cloud/aiplatform/v1beta1/custom_job.pb.go +++ b/googleapis/cloud/aiplatform/v1beta1/custom_job.pb.go @@ -83,9 +83,17 @@ type CustomJob struct { // then all resources created by the CustomJob will be encrypted with the // provided encryption key. EncryptionSpec *EncryptionSpec `protobuf:"bytes,12,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"` - // Output only. The web access URIs for the training job. - // The keys are the node names in the training jobs, e.g. workerpool0-0. - // The values are the URIs for each node's web portal in the job. + // Output only. URIs for accessing [interactive + // shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell) + // (one URI for each training node). Only available if + // [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] is `true`. + // + // The keys are names of each node in the training job; for example, + // `workerpool0-0` for the primary node, `workerpool1-0` for the first node in + // the second worker pool, and `workerpool1-1` for the second node in the + // second worker pool. + // + // The values are the URIs for each node's interactive shell. WebAccessUris map[string]string `protobuf:"bytes,16,rep,name=web_access_uris,json=webAccessUris,proto3" json:"web_access_uris,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"` } @@ -219,7 +227,7 @@ type CustomJobSpec struct { Scheduling *Scheduling `protobuf:"bytes,3,opt,name=scheduling,proto3" json:"scheduling,omitempty"` // Specifies the service account for workload run-as account. // Users submitting jobs must have act-as permission on this run-as account. - // If unspecified, the [AI Platform Custom Code Service + // If unspecified, the [Vertex AI Custom Code Service // Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents) // for the CustomJob's project is used. ServiceAccount string `protobuf:"bytes,4,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"` @@ -261,8 +269,13 @@ type CustomJobSpec struct { // Format: // `projects/{project}/locations/{location}/tensorboards/{tensorboard}` Tensorboard string `protobuf:"bytes,7,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"` - // Optional. Vertex AI will enable web portal access to the containers. The portals - // can be accessed on web via the URLs given by [web_access_uris][]. + // Optional. Whether you want Vertex AI to enable [interactive shell + // access](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell) + // to training containers. + // + // If set to `true`, you can access interactive shells at the URIs given + // by [CustomJob.web_access_uris][google.cloud.aiplatform.v1beta1.CustomJob.web_access_uris] or [Trial.web_access_uris][google.cloud.aiplatform.v1beta1.Trial.web_access_uris] (within + // [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]). EnableWebAccess bool `protobuf:"varint,10,opt,name=enable_web_access,json=enableWebAccess,proto3" json:"enable_web_access,omitempty"` } diff --git a/googleapis/cloud/aiplatform/v1beta1/dataset.pb.go b/googleapis/cloud/aiplatform/v1beta1/dataset.pb.go index 9eefd7ee1..399934402 100644 --- a/googleapis/cloud/aiplatform/v1beta1/dataset.pb.go +++ b/googleapis/cloud/aiplatform/v1beta1/dataset.pb.go @@ -50,6 +50,8 @@ type Dataset struct { // The name can be up to 128 characters long and can be consist of any UTF-8 // characters. DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"` + // Optional. The description of the Dataset. + Description string `protobuf:"bytes,16,opt,name=description,proto3" json:"description,omitempty"` // Required. Points to a YAML file stored on Google Cloud Storage describing additional // information about the Dataset. // The schema is defined as an OpenAPI 3.0.2 Schema Object. @@ -131,6 +133,13 @@ func (x *Dataset) GetDisplayName() string { return "" } +func (x *Dataset) GetDescription() string { + if x != nil { + return x.Description + } + return "" +} + func (x *Dataset) GetMetadataSchemaUri() string { if x != nil { return x.MetadataSchemaUri @@ -396,96 +405,98 @@ var file_google_cloud_aiplatform_v1beta1_dataset_proto_rawDesc = []byte{ 0x67, 0x6c, 0x65, 0x2f, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x62, 0x75, 0x66, 0x2f, 0x74, 0x69, 0x6d, 0x65, 0x73, 0x74, 0x61, 0x6d, 0x70, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x1a, 0x1c, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2f, 0x61, 0x70, 0x69, 0x2f, 0x61, 0x6e, 0x6e, 0x6f, 0x74, 0x61, 0x74, - 0x69, 0x6f, 0x6e, 0x73, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x22, 0x97, 0x05, 0x0a, 0x07, 0x44, + 0x69, 0x6f, 0x6e, 0x73, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x22, 0xbe, 0x05, 0x0a, 0x07, 0x44, 0x61, 0x74, 0x61, 0x73, 0x65, 0x74, 0x12, 0x17, 0x0a, 0x04, 0x6e, 0x61, 0x6d, 0x65, 0x18, 0x01, 0x20, 0x01, 0x28, 0x09, 0x42, 0x03, 0xe0, 0x41, 0x03, 0x52, 0x04, 0x6e, 0x61, 0x6d, 0x65, 0x12, 0x26, 0x0a, 0x0c, 0x64, 0x69, 0x73, 0x70, 0x6c, 0x61, 0x79, 0x5f, 0x6e, 0x61, 0x6d, 0x65, 0x18, 0x02, 0x20, 0x01, 0x28, 0x09, 0x42, 0x03, 0xe0, 0x41, 0x02, 0x52, 0x0b, 0x64, 0x69, 0x73, 0x70, - 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Network string `protobuf:"bytes,13,opt,name=network,proto3" json:"network,omitempty"` + // Output only. Resource name of the Model Monitoring job associated with this Endpoint + // if monitoring is enabled by [CreateModelDeploymentMonitoringJob][]. + // Format: + // `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}` + ModelDeploymentMonitoringJob string `protobuf:"bytes,14,opt,name=model_deployment_monitoring_job,json=modelDeploymentMonitoringJob,proto3" json:"model_deployment_monitoring_job,omitempty"` } func (x *Endpoint) Reset() { @@ -207,6 +212,13 @@ func (x *Endpoint) GetNetwork() string { return "" } +func (x *Endpoint) GetModelDeploymentMonitoringJob() string { + if x != nil { + return x.ModelDeploymentMonitoringJob + } + return "" +} + // A deployment of a Model. Endpoints contain one or more DeployedModels. type DeployedModel struct { state protoimpl.MessageState @@ -396,8 +408,8 @@ type DeployedModel_DedicatedResources struct { } type DeployedModel_AutomaticResources struct { - // A description of resources that to large degree are decided by AI - // Platform, and require only a modest additional configuration. + // A description of resources that to large degree are decided by Vertex + // AI, and require only a modest additional configuration. AutomaticResources *AutomaticResources `protobuf:"bytes,8,opt,name=automatic_resources,json=automaticResources,proto3,oneof"` } @@ -499,54 +511,66 @@ var file_google_cloud_aiplatform_v1beta1_endpoint_proto_rawDesc = []byte{ 0x69, 0x70, 0x6c, 0x61, 0x74, 0x66, 0x6f, 0x72, 0x6d, 0x2f, 0x76, 0x31, 0x62, 0x65, 0x74, 0x61, 0x31, 0x2f, 0x6d, 0x6f, 0x64, 0x65, 0x6c, 0x5f, 0x64, 0x65, 0x70, 0x6c, 0x6f, 0x79, 0x6d, 0x65, 0x6e, 0x74, 0x5f, 0x6d, 0x6f, 0x6e, 0x69, 0x74, 0x6f, 0x72, 0x69, 0x6e, 0x67, 0x5f, 0x6a, 0x6f, - 0x62, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x1a, 0x1f, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2f, - 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x62, 0x75, 0x66, 0x2f, 0x74, 0x69, 0x6d, 0x65, 0x73, 0x74, 0x61, - 0x6d, 0x70, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x1a, 0x1c, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, - 0x2f, 0x61, 0x70, 0x69, 0x2f, 0x61, 0x6e, 0x6e, 0x6f, 0x74, 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x73, - 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x22, 0x90, 0x07, 0x0a, 0x08, 0x45, 0x6e, 0x64, 0x70, 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a/googleapis/cloud/aiplatform/v1beta1/execution.pb.go b/googleapis/cloud/aiplatform/v1beta1/execution.pb.go index 09f2ac54f..e1d512d2b 100644 --- a/googleapis/cloud/aiplatform/v1beta1/execution.pb.go +++ b/googleapis/cloud/aiplatform/v1beta1/execution.pb.go @@ -151,6 +151,7 @@ type Execution struct { // schemas within the local metadata store. SchemaVersion string `protobuf:"bytes,14,opt,name=schema_version,json=schemaVersion,proto3" json:"schema_version,omitempty"` // Properties of the Execution. + // The size of this field should not exceed 200KB. Metadata *structpb.Struct `protobuf:"bytes,15,opt,name=metadata,proto3" json:"metadata,omitempty"` // Description of the Execution Description string `protobuf:"bytes,16,opt,name=description,proto3" json:"description,omitempty"` diff --git a/googleapis/cloud/aiplatform/v1beta1/explanation.pb.go b/googleapis/cloud/aiplatform/v1beta1/explanation.pb.go index 2723d53c7..3c80ccb83 100644 --- a/googleapis/cloud/aiplatform/v1beta1/explanation.pb.go +++ b/googleapis/cloud/aiplatform/v1beta1/explanation.pb.go @@ -903,8 +903,8 @@ func (x *FeatureNoiseSigma) GetNoiseSigma() []*FeatureNoiseSigma_NoiseSigmaForFe return nil } -// The [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] entries that can be overridden at [online -// explanation][PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time. +// The [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] entries that can be overridden at +// [online explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time. type ExplanationSpecOverride struct { state protoimpl.MessageState sizeCache protoimpl.SizeCache diff --git a/googleapis/cloud/aiplatform/v1beta1/explanation_metadata.pb.go b/googleapis/cloud/aiplatform/v1beta1/explanation_metadata.pb.go index a631d9031..be8741165 100644 --- a/googleapis/cloud/aiplatform/v1beta1/explanation_metadata.pb.go +++ b/googleapis/cloud/aiplatform/v1beta1/explanation_metadata.pb.go @@ -37,8 +37,7 @@ const ( _ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20) ) -// Defines how the feature is encoded to [encoded_tensor][]. Defaults to -// IDENTITY. +// Defines how a feature is encoded. Defaults to IDENTITY. type ExplanationMetadata_InputMetadata_Encoding int32 const ( @@ -144,9 +143,8 @@ func (ExplanationMetadata_InputMetadata_Encoding) EnumDescriptor() ([]byte, []in return file_google_cloud_aiplatform_v1beta1_explanation_metadata_proto_rawDescGZIP(), []int{0, 0, 0} } -// Type of the image visualization. Only applicable to [Integrated -// Gradients attribution] -// [ExplanationParameters.integrated_gradients_attribution]. +// Type of the image visualization. Only applicable to +// [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution]. type ExplanationMetadata_InputMetadata_Visualization_Type int32 const ( @@ -502,8 +500,7 @@ type ExplanationMetadata_InputMetadata struct { // // If no baseline is specified, Vertex AI chooses the baseline for this // feature. If multiple baselines are specified, Vertex AI returns the - // average attributions across them in - // [Attributions.baseline_attribution][]. + // average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]. // // For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape // of each baseline must match the shape of the input tensor. If a scalar is @@ -543,10 +540,10 @@ type ExplanationMetadata_InputMetadata struct { // BAG_OF_FEATURES_SPARSE, INDICATOR. IndexFeatureMapping []string `protobuf:"bytes,8,rep,name=index_feature_mapping,json=indexFeatureMapping,proto3" json:"index_feature_mapping,omitempty"` // Encoded tensor is a transformation of the input tensor. Must be provided - // if choosing [Integrated Gradients - // attribution][ExplanationParameters.integrated_gradients_attribution] or - // [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution] - // and the input tensor is not differentiable. + // if choosing + // [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution] + // or [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution] and the + // input tensor is not differentiable. // // An encoded tensor is generated if the input tensor is encoded by a lookup // table. @@ -562,9 +559,8 @@ type ExplanationMetadata_InputMetadata struct { // Name of the group that the input belongs to. Features with the same group // name will be treated as one feature when computing attributions. Features // grouped together can have different shapes in value. If provided, there - // will be one single attribution generated in [ - // featureAttributions][Attribution.feature_attributions], keyed by the - // group name. + // will be one single attribution generated in + // [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions], keyed by the group name. GroupName string `protobuf:"bytes,12,opt,name=group_name,json=groupName,proto3" json:"group_name,omitempty"` } @@ -700,8 +696,8 @@ type ExplanationMetadata_OutputMetadata struct { // *ExplanationMetadata_OutputMetadata_IndexDisplayNameMapping // *ExplanationMetadata_OutputMetadata_DisplayNameMappingKey DisplayNameMapping isExplanationMetadata_OutputMetadata_DisplayNameMapping `protobuf_oneof:"display_name_mapping"` - // Name of the output tensor. Required and is only applicable to AI - // Platform provided images for Tensorflow. + // Name of the output tensor. Required and is only applicable to Vertex + // AI provided images for Tensorflow. OutputTensorName string `protobuf:"bytes,3,opt,name=output_tensor_name,json=outputTensorName,proto3" json:"output_tensor_name,omitempty"` } @@ -895,19 +891,18 @@ type ExplanationMetadata_InputMetadata_Visualization struct { sizeCache protoimpl.SizeCache unknownFields protoimpl.UnknownFields - // Type of the image visualization. Only applicable to [Integrated - // Gradients attribution] - // [ExplanationParameters.integrated_gradients_attribution]. OUTLINES - // shows regions of attribution, while PIXELS shows per-pixel attribution. - // Defaults to OUTLINES. + // Type of the image visualization. Only applicable to + // [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution]. + // OUTLINES shows regions of attribution, while PIXELS shows per-pixel + // attribution. Defaults to OUTLINES. Type ExplanationMetadata_InputMetadata_Visualization_Type `protobuf:"varint,1,opt,name=type,proto3,enum=google.cloud.aiplatform.v1beta1.ExplanationMetadata_InputMetadata_Visualization_Type" json:"type,omitempty"` // Whether to only highlight pixels with positive contributions, negative // or both. Defaults to POSITIVE. Polarity ExplanationMetadata_InputMetadata_Visualization_Polarity `protobuf:"varint,2,opt,name=polarity,proto3,enum=google.cloud.aiplatform.v1beta1.ExplanationMetadata_InputMetadata_Visualization_Polarity" json:"polarity,omitempty"` // The color scheme used for the highlighted areas. // - // Defaults to PINK_GREEN for [Integrated Gradients - // attribution][ExplanationParameters.integrated_gradients_attribution], + // Defaults to PINK_GREEN for + // [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution], // which shows positive attributions in green and negative in pink. // // Defaults to VIRIDIS for diff --git a/googleapis/cloud/aiplatform/v1beta1/featurestore.pb.go b/googleapis/cloud/aiplatform/v1beta1/featurestore.pb.go index c60343ccc..d674c68fe 100644 --- a/googleapis/cloud/aiplatform/v1beta1/featurestore.pb.go +++ b/googleapis/cloud/aiplatform/v1beta1/featurestore.pb.go @@ -221,7 +221,7 @@ type Featurestore_OnlineServingConfig struct { sizeCache protoimpl.SizeCache unknownFields protoimpl.UnknownFields - // Required. The number of nodes for each cluster. The number of nodes will not + // The number of nodes for each cluster. The number of nodes will not // scale automatically but can be scaled manually by providing different // values when updating. FixedNodeCount int32 `protobuf:"varint,2,opt,name=fixed_node_count,json=fixedNodeCount,proto3" json:"fixed_node_count,omitempty"` @@ -285,7 +285,7 @@ var file_google_cloud_aiplatform_v1beta1_featurestore_proto_rawDesc = []byte{ 0x2f, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x62, 0x75, 0x66, 0x2f, 0x74, 0x69, 0x6d, 0x65, 0x73, 0x74, 0x61, 0x6d, 0x70, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x1a, 0x1c, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2f, 0x61, 0x70, 0x69, 0x2f, 0x61, 0x6e, 0x6e, 0x6f, 0x74, 0x61, 0x74, 0x69, 0x6f, 0x6e, - 0x73, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x22, 0x96, 0x06, 0x0a, 0x0c, 0x46, 0x65, 0x61, 0x74, + 0x73, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x22, 0x91, 0x06, 0x0a, 0x0c, 0x46, 0x65, 0x61, 0x74, 0x75, 0x72, 0x65, 0x73, 0x74, 0x6f, 0x72, 0x65, 0x12, 0x17, 0x0a, 0x04, 0x6e, 0x61, 0x6d, 0x65, 0x18, 0x01, 0x20, 0x01, 0x28, 0x09, 0x42, 0x03, 0xe0, 0x41, 0x03, 0x52, 0x04, 0x6e, 0x61, 0x6d, 0x65, 0x12, 0x40, 0x0a, 0x0b, 0x63, 0x72, 0x65, 0x61, 0x74, 0x65, 0x5f, 0x74, 0x69, 0x6d, 0x65, @@ -316,41 +316,41 @@ var file_google_cloud_aiplatform_v1beta1_featurestore_proto_rawDesc = []byte{ 0x2e, 0x61, 0x69, 0x70, 0x6c, 0x61, 0x74, 0x66, 0x6f, 0x72, 0x6d, 0x2e, 0x76, 0x31, 0x62, 0x65, 0x74, 0x61, 0x31, 0x2e, 0x46, 0x65, 0x61, 0x74, 0x75, 0x72, 0x65, 0x73, 0x74, 0x6f, 0x72, 0x65, 0x2e, 0x53, 0x74, 0x61, 0x74, 0x65, 0x42, 0x03, 0xe0, 0x41, 0x03, 0x52, 0x05, 0x73, 0x74, 0x61, - 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Disabled bool `protobuf:"varint,1,opt,name=disabled,proto3" json:"disabled,omitempty"` - // Configuration of the snapshot analysis based monitoring pipeline - // running interval. The value is rolled up to full day. + // Configuration of the snapshot analysis based monitoring pipeline running + // interval. The value is rolled up to full day. + // + // Deprecated: Do not use. MonitoringInterval *durationpb.Duration `protobuf:"bytes,2,opt,name=monitoring_interval,json=monitoringInterval,proto3" json:"monitoring_interval,omitempty"` // Configuration of the snapshot analysis based monitoring pipeline // running interval. The value indicates number of days. @@ -160,6 +162,7 @@ func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) GetDisabled() bool { return false } +// Deprecated: Do not use. func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) GetMonitoringInterval() *durationpb.Duration { if x != nil { return x.MonitoringInterval @@ -186,7 +189,7 @@ var file_google_cloud_aiplatform_v1beta1_featurestore_monitoring_proto_rawDesc = 0x1a, 0x1e, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2f, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x62, 0x75, 0x66, 0x2f, 0x64, 0x75, 0x72, 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x1a, 0x1c, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2f, 0x61, 0x70, 0x69, 0x2f, 0x61, 0x6e, 0x6e, - 0x6f, 0x74, 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x73, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x22, 0xd2, + 0x6f, 0x74, 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x73, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x22, 0xd6, 0x02, 0x0a, 0x1c, 0x46, 0x65, 0x61, 0x74, 0x75, 0x72, 0x65, 0x73, 0x74, 0x6f, 0x72, 0x65, 0x4d, 0x6f, 0x6e, 0x69, 0x74, 0x6f, 0x72, 0x69, 0x6e, 0x67, 0x43, 0x6f, 0x6e, 0x66, 0x69, 0x67, 0x12, 0x7b, 0x0a, 0x11, 0x73, 0x6e, 0x61, 0x70, 0x73, 0x68, 0x6f, 0x74, 0x5f, 0x61, 0x6e, 0x61, 0x6c, @@ -196,35 +199,35 @@ var file_google_cloud_aiplatform_v1beta1_featurestore_monitoring_proto_rawDesc = 0x74, 0x75, 0x72, 0x65, 0x73, 0x74, 0x6f, 0x72, 0x65, 0x4d, 0x6f, 0x6e, 0x69, 0x74, 0x6f, 0x72, 0x69, 0x6e, 0x67, 0x43, 0x6f, 0x6e, 0x66, 0x69, 0x67, 0x2e, 0x53, 0x6e, 0x61, 0x70, 0x73, 0x68, 0x6f, 0x74, 0x41, 0x6e, 0x61, 0x6c, 0x79, 0x73, 0x69, 0x73, 0x52, 0x10, 0x73, 0x6e, 0x61, 0x70, - 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ReservedIpRanges []string `protobuf:"bytes,10,rep,name=reserved_ip_ranges,json=reservedIpRanges,proto3" json:"reserved_ip_ranges,omitempty"` + // Optional. The deployment group can be no longer than 64 characters (eg: + // 'test', 'prod'). If not set, we will use the 'default' deployment group. + // + // Creating `deployment_groups` with `reserved_ip_ranges` is a recommended + // practice when the peered network has multiple peering ranges. This creates + // your deployments from predictable IP spaces for easier traffic + // administration. Also, one deployment_group (except 'default') can only be + // used with the same reserved_ip_ranges which means if the deployment_group + // has been used with reserved_ip_ranges: [a, b, c], using it with [a, b] or + // [d, e] is disallowed. + // + // Note: we only support up to 5 deployment groups(not including 'default'). + DeploymentGroup string `protobuf:"bytes,11,opt,name=deployment_group,json=deploymentGroup,proto3" json:"deployment_group,omitempty"` } func (x *DeployedIndex) Reset() { @@ -355,6 +368,13 @@ func (x *DeployedIndex) GetReservedIpRanges() []string { return nil } +func (x *DeployedIndex) GetDeploymentGroup() string { + if x != nil { + return x.DeploymentGroup + } + return "" +} + // Used to set up the auth on the DeployedIndex's private endpoint. type DeployedIndexAuthConfig struct { state protoimpl.MessageState @@ -583,7 +603,7 @@ var file_google_cloud_aiplatform_v1beta1_index_endpoint_proto_rawDesc = []byte{ 0x70, 0x72, 0x6f, 0x6a, 0x65, 0x63, 0x74, 0x7d, 0x2f, 0x6c, 0x6f, 0x63, 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x73, 0x2f, 0x7b, 0x6c, 0x6f, 0x63, 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x7d, 0x2f, 0x69, 0x6e, 0x64, 0x65, 0x78, 0x45, 0x6e, 0x64, 0x70, 0x6f, 0x69, 0x6e, 0x74, 0x73, 0x2f, 0x7b, 0x69, 0x6e, - 0x64, 0x65, 0x78, 0x5f, 0x65, 0x6e, 0x64, 0x70, 0x6f, 0x69, 0x6e, 0x74, 0x7d, 0x22, 0xce, 0x05, + 0x64, 0x65, 0x78, 0x5f, 0x65, 0x6e, 0x64, 0x70, 0x6f, 0x69, 0x6e, 0x74, 0x7d, 0x22, 0xfe, 0x05, 0x0a, 0x0d, 0x44, 0x65, 0x70, 0x6c, 0x6f, 0x79, 0x65, 0x64, 0x49, 0x6e, 0x64, 0x65, 0x78, 0x12, 0x13, 0x0a, 0x02, 0x69, 0x64, 0x18, 0x01, 0x20, 0x01, 0x28, 0x09, 0x42, 0x03, 0xe0, 0x41, 0x02, 0x52, 0x02, 0x69, 0x64, 0x12, 0x3d, 0x0a, 0x05, 0x69, 0x6e, 0x64, 0x65, 0x78, 0x18, 0x02, 0x20, @@ -628,7 +648,10 @@ var file_google_cloud_aiplatform_v1beta1_index_endpoint_proto_rawDesc = []byte{ 0x78, 0x41, 0x75, 0x74, 0x68, 0x43, 0x6f, 0x6e, 0x66, 0x69, 0x67, 0x12, 0x31, 0x0a, 0x12, 0x72, 0x65, 0x73, 0x65, 0x72, 0x76, 0x65, 0x64, 0x5f, 0x69, 0x70, 0x5f, 0x72, 0x61, 0x6e, 0x67, 0x65, 0x73, 0x18, 0x0a, 0x20, 0x03, 0x28, 0x09, 0x42, 0x03, 0xe0, 0x41, 0x01, 0x52, 0x10, 0x72, 0x65, - 0x73, 0x65, 0x72, 0x76, 0x65, 0x64, 0x49, 0x70, 0x52, 0x61, 0x6e, 0x67, 0x65, 0x73, 0x22, 0xdc, + 0x73, 0x65, 0x72, 0x76, 0x65, 0x64, 0x49, 0x70, 0x52, 0x61, 0x6e, 0x67, 0x65, 0x73, 0x12, 0x2e, + 0x0a, 0x10, 0x64, 0x65, 0x70, 0x6c, 0x6f, 0x79, 0x6d, 0x65, 0x6e, 0x74, 0x5f, 0x67, 0x72, 0x6f, + 0x75, 0x70, 0x18, 0x0b, 0x20, 0x01, 0x28, 0x09, 0x42, 0x03, 0xe0, 0x41, 0x01, 0x52, 0x0f, 0x64, + 0x65, 0x70, 0x6c, 0x6f, 0x79, 0x6d, 0x65, 0x6e, 0x74, 0x47, 0x72, 0x6f, 0x75, 0x70, 0x22, 0xdc, 0x01, 0x0a, 0x17, 0x44, 0x65, 0x70, 0x6c, 0x6f, 0x79, 0x65, 0x64, 0x49, 0x6e, 0x64, 0x65, 0x78, 0x41, 0x75, 0x74, 0x68, 0x43, 0x6f, 0x6e, 0x66, 0x69, 0x67, 0x12, 0x6a, 0x0a, 0x0d, 0x61, 0x75, 0x74, 0x68, 0x5f, 0x70, 0x72, 0x6f, 0x76, 0x69, 0x64, 0x65, 0x72, 0x18, 0x01, 0x20, 0x01, 0x28, diff --git a/googleapis/cloud/aiplatform/v1beta1/index_service.pb.go b/googleapis/cloud/aiplatform/v1beta1/index_service.pb.go index b393c6bf9..004eef2df 100644 --- a/googleapis/cloud/aiplatform/v1beta1/index_service.pb.go +++ b/googleapis/cloud/aiplatform/v1beta1/index_service.pb.go @@ -611,6 +611,8 @@ type NearestNeighborSearchOperationMetadata struct { // that, currently for those files that are broken or has unsupported file // format, we will not have the stats for those files. ContentValidationStats []*NearestNeighborSearchOperationMetadata_ContentValidationStats `protobuf:"bytes,1,rep,name=content_validation_stats,json=contentValidationStats,proto3" json:"content_validation_stats,omitempty"` + // The ingested data size in bytes. + DataBytesCount int64 `protobuf:"varint,2,opt,name=data_bytes_count,json=dataBytesCount,proto3" json:"data_bytes_count,omitempty"` } func (x *NearestNeighborSearchOperationMetadata) Reset() { @@ -652,6 +654,13 @@ func (x *NearestNeighborSearchOperationMetadata) GetContentValidationStats() []* return nil } +func (x *NearestNeighborSearchOperationMetadata) GetDataBytesCount() int64 { + if x != nil { + return x.DataBytesCount + } + return 0 +} + type NearestNeighborSearchOperationMetadata_RecordError struct { state protoimpl.MessageState sizeCache protoimpl.SizeCache @@ -930,7 +939,7 @@ var file_google_cloud_aiplatform_v1beta1_index_service_proto_rawDesc = []byte{ 0x6d, 0x65, 0x18, 0x01, 0x20, 0x01, 0x28, 0x09, 0x42, 0x27, 0xe0, 0x41, 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{ // Format: // projects/{project}/locations/{location}/metadataStores/{metadatastore} Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` - // If set to true, any child resources of this MetadataStore will be deleted. - // (Otherwise, the request will fail with a FAILED_PRECONDITION error if the - // MetadataStore has any child resources.) + // Deprecated: Field is no longer supported. + // + // Deprecated: Do not use. Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"` } @@ -410,6 +410,7 @@ func (x *DeleteMetadataStoreRequest) GetName() string { return "" } +// Deprecated: Do not use. func (x *DeleteMetadataStoreRequest) GetForce() bool { if x != nil { return x.Force @@ -776,9 +777,10 @@ type UpdateArtifactRequest struct { // projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact} Artifact *Artifact `protobuf:"bytes,1,opt,name=artifact,proto3" json:"artifact,omitempty"` // Required. A FieldMask indicating which fields should be updated. + // Functionality of this field is not yet supported. UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"` - // If set to true, and the [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is not found, a new [Artifact][google.cloud.aiplatform.v1beta1.Artifact] will - // be created. In this situation, `update_mask` is ignored. + // If set to true, and the [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is not found, a new [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is + // created. AllowMissing bool `protobuf:"varint,3,opt,name=allow_missing,json=allowMissing,proto3" json:"allow_missing,omitempty"` } @@ -1393,9 +1395,10 @@ type UpdateContextRequest struct { // projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context} Context *Context `protobuf:"bytes,1,opt,name=context,proto3" json:"context,omitempty"` // Required. A FieldMask indicating which fields should be updated. + // Functionality of this field is not yet supported. UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"` - // If set to true, and the [Context][google.cloud.aiplatform.v1beta1.Context] is not found, a new [Context][google.cloud.aiplatform.v1beta1.Context] will be - // created. In this situation, `update_mask` is ignored. + // If set to true, and the [Context][google.cloud.aiplatform.v1beta1.Context] is not found, a new [Context][google.cloud.aiplatform.v1beta1.Context] is + // created. AllowMissing bool `protobuf:"varint,3,opt,name=allow_missing,json=allowMissing,proto3" json:"allow_missing,omitempty"` } @@ -2288,9 +2291,10 @@ type UpdateExecutionRequest struct { // projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution} Execution *Execution `protobuf:"bytes,1,opt,name=execution,proto3" json:"execution,omitempty"` // Required. A FieldMask indicating which fields should be updated. + // Functionality of this field is not yet supported. UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"` // If set to true, and the [Execution][google.cloud.aiplatform.v1beta1.Execution] is not found, a new [Execution][google.cloud.aiplatform.v1beta1.Execution] - // will be created. In this situation, `update_mask` is ignored. + // is created. AllowMissing bool `protobuf:"varint,3,opt,name=allow_missing,json=allowMissing,proto3" json:"allow_missing,omitempty"` } @@ -3210,882 +3214,882 @@ var file_google_cloud_aiplatform_v1beta1_metadata_service_proto_rawDesc = []byte 0x74, 0x6f, 0x72, 0x65, 0x52, 0x0e, 0x6d, 0x65, 0x74, 0x61, 0x64, 0x61, 0x74, 0x61, 0x53, 0x74, 0x6f, 0x72, 0x65, 0x73, 0x12, 0x26, 0x0a, 0x0f, 0x6e, 0x65, 0x78, 0x74, 0x5f, 0x70, 0x61, 0x67, 0x65, 0x5f, 0x74, 0x6f, 0x6b, 0x65, 0x6e, 0x18, 0x02, 0x20, 0x01, 0x28, 0x09, 0x52, 0x0d, 0x6e, - 0x65, 0x78, 0x74, 0x50, 0x61, 0x67, 0x65, 0x54, 0x6f, 0x6b, 0x65, 0x6e, 0x22, 0x77, 0x0a, 0x1a, + 0x65, 0x78, 0x74, 0x50, 0x61, 0x67, 0x65, 0x54, 0x6f, 0x6b, 0x65, 0x6e, 0x22, 0x7b, 0x0a, 0x1a, 0x44, 0x65, 0x6c, 0x65, 0x74, 0x65, 0x4d, 0x65, 0x74, 0x61, 0x64, 0x61, 0x74, 0x61, 0x53, 0x74, 0x6f, 0x72, 0x65, 0x52, 0x65, 0x71, 0x75, 0x65, 0x73, 0x74, 0x12, 0x43, 0x0a, 0x04, 0x6e, 0x61, 0x6d, 0x65, 0x18, 0x01, 0x20, 0x01, 0x28, 0x09, 0x42, 0x2f, 0xe0, 0x41, 0x02, 0xfa, 0x41, 0x29, 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ListMetadataStores(ctx context.Context, in *ListMetadataStoresRequest, opts ...grpc.CallOption) (*ListMetadataStoresResponse, error) - // Deletes a single MetadataStore. + // Deletes a single MetadataStore and all its child resources (Artifacts, + // Executions, and Contexts). DeleteMetadataStore(ctx context.Context, in *DeleteMetadataStoreRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) // Creates an Artifact associated with a MetadataStore. CreateArtifact(ctx context.Context, in *CreateArtifactRequest, opts ...grpc.CallOption) (*Artifact, error) @@ -5235,7 +5240,8 @@ type MetadataServiceServer interface { GetMetadataStore(context.Context, *GetMetadataStoreRequest) (*MetadataStore, error) // Lists MetadataStores for a Location. ListMetadataStores(context.Context, *ListMetadataStoresRequest) (*ListMetadataStoresResponse, error) - // Deletes a single MetadataStore. + // Deletes a single MetadataStore and all its child resources (Artifacts, + // Executions, and Contexts). DeleteMetadataStore(context.Context, *DeleteMetadataStoreRequest) (*longrunning.Operation, error) // Creates an Artifact associated with a MetadataStore. CreateArtifact(context.Context, *CreateArtifactRequest) (*Artifact, error) diff --git a/googleapis/cloud/aiplatform/v1beta1/migration_service.pb.go b/googleapis/cloud/aiplatform/v1beta1/migration_service.pb.go index 08942ffcf..216931fdd 100644 --- a/googleapis/cloud/aiplatform/v1beta1/migration_service.pb.go +++ b/googleapis/cloud/aiplatform/v1beta1/migration_service.pb.go @@ -778,8 +778,8 @@ func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) GetDatasetDisplayNam return "" } -// Config for migrating Dataset in datalabeling.googleapis.com to AI -// Platform's Dataset. +// Config for migrating Dataset in datalabeling.googleapis.com to Vertex +// AI's Dataset. type MigrateResourceRequest_MigrateDataLabelingDatasetConfig struct { state protoimpl.MessageState sizeCache protoimpl.SizeCache diff --git a/googleapis/cloud/aiplatform/v1beta1/model.pb.go b/googleapis/cloud/aiplatform/v1beta1/model.pb.go index 855eedbdc..6a625bc4a 100644 --- a/googleapis/cloud/aiplatform/v1beta1/model.pb.go +++ b/googleapis/cloud/aiplatform/v1beta1/model.pb.go @@ -609,7 +609,7 @@ type ModelContainerSpec struct { // predictions. This URI must identify an image in Artifact Registry or // Container Registry. Learn more about the [container publishing // requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), - // including permissions requirements for the AI Platform Service Agent. + // including permissions requirements for the Vertex AI Service Agent. // // The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], stored // internally, and this original path is afterwards not used. @@ -726,8 +726,8 @@ type ModelContainerSpec struct { // API](https://v1-18.docs.kubernetes.io/docs/reference/generated/kubernetes-api/v1.18/#container-v1-core). Env []*EnvVar `protobuf:"bytes,4,rep,name=env,proto3" json:"env,omitempty"` // Immutable. List of ports to expose from the container. Vertex AI sends any - // prediction requests that it receives to the first port on this list. AI - // Platform also sends + // prediction requests that it receives to the first port on this list. Vertex + // AI also sends // [liveness and health // checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) // to this port. diff --git a/googleapis/cloud/aiplatform/v1beta1/model_deployment_monitoring_job.pb.go b/googleapis/cloud/aiplatform/v1beta1/model_deployment_monitoring_job.pb.go index 592e72f52..e35e06d62 100644 --- a/googleapis/cloud/aiplatform/v1beta1/model_deployment_monitoring_job.pb.go +++ b/googleapis/cloud/aiplatform/v1beta1/model_deployment_monitoring_job.pb.go @@ -25,6 +25,7 @@ import ( 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" durationpb "google.golang.org/protobuf/types/known/durationpb" @@ -352,6 +353,13 @@ type ModelDeploymentMonitoringJob struct { NextScheduleTime *timestamppb.Timestamp `protobuf:"bytes,14,opt,name=next_schedule_time,json=nextScheduleTime,proto3" json:"next_schedule_time,omitempty"` // Stats anomalies base folder path. StatsAnomaliesBaseDirectory *GcsDestination `protobuf:"bytes,20,opt,name=stats_anomalies_base_directory,json=statsAnomaliesBaseDirectory,proto3" json:"stats_anomalies_base_directory,omitempty"` + // Customer-managed encryption key spec for a ModelDeploymentMonitoringJob. If + // set, this ModelDeploymentMonitoringJob and all sub-resources of this + // ModelDeploymentMonitoringJob will be secured by this key. + EncryptionSpec *EncryptionSpec `protobuf:"bytes,21,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"` + // Output only. Only populated when the job's state is `JOB_STATE_FAILED` or + // `JOB_STATE_CANCELLED`. + Error *status.Status `protobuf:"bytes,23,opt,name=error,proto3" json:"error,omitempty"` } func (x *ModelDeploymentMonitoringJob) Reset() { @@ -519,6 +527,20 @@ func (x *ModelDeploymentMonitoringJob) GetStatsAnomaliesBaseDirectory() *GcsDest return nil } +func (x *ModelDeploymentMonitoringJob) GetEncryptionSpec() *EncryptionSpec { + if x != nil { + return x.EncryptionSpec + } + return nil +} + +func (x *ModelDeploymentMonitoringJob) GetError() *status.Status { + if x != nil { + return x.Error + } + return nil +} + // ModelDeploymentMonitoringBigQueryTable specifies the BigQuery table name // as well as some information of the logs stored in this table. type ModelDeploymentMonitoringBigQueryTable struct { @@ -886,262 +908,272 @@ var file_google_cloud_aiplatform_v1beta1_model_deployment_monitoring_job_proto_r 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2f, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x62, 0x75, 0x66, 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0x43, 0x6c, 0x6f, 0x75, + 0x64, 0x3a, 0x3a, 0x41, 0x49, 0x50, 0x6c, 0x61, 0x74, 0x66, 0x6f, 0x72, 0x6d, 0x3a, 0x3a, 0x56, + 0x31, 0x62, 0x65, 0x74, 0x61, 0x31, 0x62, 0x06, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x33, } var ( @@ -1177,9 +1209,11 @@ var file_google_cloud_aiplatform_v1beta1_model_deployment_monitoring_job_proto_g (*durationpb.Duration)(nil), // 15: google.protobuf.Duration (*timestamppb.Timestamp)(nil), // 16: google.protobuf.Timestamp (*GcsDestination)(nil), // 17: google.cloud.aiplatform.v1beta1.GcsDestination - (*ModelMonitoringObjectiveConfig)(nil), // 18: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig - (*ThresholdConfig)(nil), // 19: google.cloud.aiplatform.v1beta1.ThresholdConfig - (*FeatureStatsAnomaly)(nil), // 20: google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly + (*EncryptionSpec)(nil), // 18: google.cloud.aiplatform.v1beta1.EncryptionSpec + (*status.Status)(nil), // 19: google.rpc.Status + (*ModelMonitoringObjectiveConfig)(nil), // 20: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig + (*ThresholdConfig)(nil), // 21: google.cloud.aiplatform.v1beta1.ThresholdConfig + (*FeatureStatsAnomaly)(nil), // 22: google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly } var file_google_cloud_aiplatform_v1beta1_model_deployment_monitoring_job_proto_depIdxs = []int32{ 11, // 0: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.state:type_name -> google.cloud.aiplatform.v1beta1.JobState @@ -1196,20 +1230,22 @@ var file_google_cloud_aiplatform_v1beta1_model_deployment_monitoring_job_proto_d 16, // 11: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.update_time:type_name -> google.protobuf.Timestamp 16, // 12: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.next_schedule_time:type_name -> google.protobuf.Timestamp 17, // 13: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.stats_anomalies_base_directory:type_name -> google.cloud.aiplatform.v1beta1.GcsDestination - 2, // 14: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.log_source:type_name -> google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogSource - 3, // 15: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.log_type:type_name -> google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogType - 18, // 16: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig.objective_config:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig - 15, // 17: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval:type_name -> google.protobuf.Duration - 0, // 18: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.objective:type_name -> google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType - 10, // 19: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.feature_stats:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies - 19, // 20: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.threshold:type_name -> google.cloud.aiplatform.v1beta1.ThresholdConfig - 20, // 21: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.training_stats:type_name -> google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly - 20, // 22: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.prediction_stats:type_name -> google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly - 23, // [23:23] is the sub-list for method output_type - 23, // [23:23] is the sub-list for method input_type - 23, // [23:23] is the sub-list for extension type_name - 23, // [23:23] is the sub-list for extension extendee - 0, // [0:23] is the sub-list for field type_name + 18, // 14: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.encryption_spec:type_name -> google.cloud.aiplatform.v1beta1.EncryptionSpec + 19, // 15: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.error:type_name -> google.rpc.Status + 2, // 16: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.log_source:type_name -> google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogSource + 3, // 17: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.log_type:type_name -> google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogType + 20, // 18: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig.objective_config:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig + 15, // 19: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval:type_name -> google.protobuf.Duration + 0, // 20: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.objective:type_name -> google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType + 10, // 21: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.feature_stats:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies + 21, // 22: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.threshold:type_name -> google.cloud.aiplatform.v1beta1.ThresholdConfig + 22, // 23: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.training_stats:type_name -> google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly + 22, // 24: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.prediction_stats:type_name -> google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly + 25, // [25:25] is the sub-list for method output_type + 25, // [25:25] is the sub-list for method input_type + 25, // [25:25] is the sub-list for extension type_name + 25, // [25:25] is the sub-list for extension extendee + 0, // [0:25] is the sub-list for field type_name } func init() { file_google_cloud_aiplatform_v1beta1_model_deployment_monitoring_job_proto_init() } diff --git a/googleapis/cloud/aiplatform/v1beta1/model_monitoring.pb.go b/googleapis/cloud/aiplatform/v1beta1/model_monitoring.pb.go index 86b47c664..37bbe2804 100644 --- a/googleapis/cloud/aiplatform/v1beta1/model_monitoring.pb.go +++ b/googleapis/cloud/aiplatform/v1beta1/model_monitoring.pb.go @@ -42,8 +42,7 @@ type ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_Predic const ( // Should not be set. ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PREDICTION_FORMAT_UNSPECIFIED ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat = 0 - // Predictions are in JSONL files, consistent from the definition here - // (http://shortn/_4bS0hL7ofb). + // Predictions are in JSONL files. ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_JSONL ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat = 2 // Predictions are in BigQuery. ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_BIGQUERY ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat = 3 diff --git a/googleapis/cloud/aiplatform/v1beta1/pipeline_service.pb.go b/googleapis/cloud/aiplatform/v1beta1/pipeline_service.pb.go index 9a9ab0131..5e5f03e56 100644 --- a/googleapis/cloud/aiplatform/v1beta1/pipeline_service.pb.go +++ b/googleapis/cloud/aiplatform/v1beta1/pipeline_service.pb.go @@ -162,32 +162,22 @@ type ListTrainingPipelinesRequest struct { // Required. The resource name of the Location to list the TrainingPipelines from. // Format: `projects/{project}/locations/{location}` Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` - // Lists the PipelineJobs that match the filter expression. The following - // fields are supported: + // The standard list filter. + // Supported fields: // - // * `pipeline_name`: Supports `=` and `!=` comparisons. - // * `create_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons. - // Values must be in RFC 3339 format. - // * `update_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons. - // Values must be in RFC 3339 format. - // * `end_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons. - // Values must be in RFC 3339 format. - // * `labels`: Supports key-value equality and key presence. + // * `display_name` supports = and !=. // - // Filter expressions can be combined together using logical operators - // (`AND` & `OR`). - // For example: `pipeline_name="test" AND create_time>"2020-05-18T13:30:00Z"`. + // * `state` supports = and !=. // - // The syntax to define filter expression is based on - // https://google.aip.dev/160. + // Some examples of using the filter are: // - // Examples: + // * `state="PIPELINE_STATE_SUCCEEDED" AND display_name="my_pipeline"` // - // * `create_time>"2021-05-18T00:00:00Z" OR - // update_time>"2020-05-18T00:00:00Z"` PipelineJobs created or updated - // after 2020-05-18 00:00:00 UTC. - // * `labels.env = "prod"` - // PipelineJobs with label "env" set to "prod". + // * `state="PIPELINE_STATE_RUNNING" OR display_name="my_pipeline"` + // + // * `NOT display_name="my_pipeline"` + // + // * `state="PIPELINE_STATE_FAILED"` Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"` // The standard list page size. PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"` @@ -561,18 +551,32 @@ type ListPipelineJobsRequest struct { // Required. The resource name of the Location to list the PipelineJobs from. // Format: `projects/{project}/locations/{location}` Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` - // The standard list filter. - // Supported fields: + // Lists the PipelineJobs that match the filter expression. The following + // fields are supported: // - // * `display_name` supports `=` and `!=`. - // * `state` supports `=` and `!=`. + // * `pipeline_name`: Supports `=` and `!=` comparisons. + // * `create_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons. + // Values must be in RFC 3339 format. + // * `update_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons. + // Values must be in RFC 3339 format. + // * `end_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons. + // Values must be in RFC 3339 format. + // * `labels`: Supports key-value equality and key presence. // - // The following examples demonstrate how to filter the list of PipelineJobs: + // Filter expressions can be combined together using logical operators + // (`AND` & `OR`). + // For example: `pipeline_name="test" AND create_time>"2020-05-18T13:30:00Z"`. + // + // The syntax to define filter expression is based on + // https://google.aip.dev/160. + // + // Examples: // - // * `state="PIPELINE_STATE_SUCCEEDED" AND display_name="my_pipeline"` - // * `state="PIPELINE_STATE_RUNNING" OR display_name="my_pipeline"` - // * `NOT display_name="my_pipeline"` - // * `state="PIPELINE_STATE_FAILED"` + // * `create_time>"2021-05-18T00:00:00Z" OR + // update_time>"2020-05-18T00:00:00Z"` PipelineJobs created or updated + // after 2020-05-18 00:00:00 UTC. + // * `labels.env = "prod"` + // PipelineJobs with label "env" set to "prod". Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"` // The standard list page size. PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"` diff --git a/googleapis/cloud/aiplatform/v1beta1/prediction_service.pb.go b/googleapis/cloud/aiplatform/v1beta1/prediction_service.pb.go index c1ed90860..f7f33d64c 100644 --- a/googleapis/cloud/aiplatform/v1beta1/prediction_service.pb.go +++ b/googleapis/cloud/aiplatform/v1beta1/prediction_service.pb.go @@ -26,7 +26,7 @@ import ( sync "sync" _ "google.golang.org/genproto/googleapis/api/annotations" - _ "google.golang.org/genproto/googleapis/api/httpbody" + httpbody "google.golang.org/genproto/googleapis/api/httpbody" grpc "google.golang.org/grpc" codes "google.golang.org/grpc/codes" status "google.golang.org/grpc/status" @@ -184,6 +184,78 @@ func (x *PredictResponse) GetDeployedModelId() string { return "" } +// Request message for [PredictionService.RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict]. +type RawPredictRequest struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // Required. The name of the Endpoint requested to serve the prediction. + // Format: + // `projects/{project}/locations/{location}/endpoints/{endpoint}` + Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"` + // The prediction input. Supports HTTP headers and arbitrary data payload. + // + // A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have an upper limit on the number of instances it + // supports per request. When this limit it is exceeded for an AutoML model, + // the [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict] method returns an error. + // When this limit is exceeded for a custom-trained model, the behavior varies + // depending on the model. + // + // You can specify the schema for each instance in the + // [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] + // field when you create a [Model][google.cloud.aiplatform.v1beta1.Model]. This schema applies when you deploy the + // `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the `RawPredict` + // method. + HttpBody *httpbody.HttpBody `protobuf:"bytes,2,opt,name=http_body,json=httpBody,proto3" json:"http_body,omitempty"` +} + +func (x *RawPredictRequest) Reset() { + *x = RawPredictRequest{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1beta1_prediction_service_proto_msgTypes[2] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *RawPredictRequest) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*RawPredictRequest) ProtoMessage() {} + +func (x *RawPredictRequest) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1beta1_prediction_service_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 RawPredictRequest.ProtoReflect.Descriptor instead. +func (*RawPredictRequest) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1beta1_prediction_service_proto_rawDescGZIP(), []int{2} +} + +func (x *RawPredictRequest) GetEndpoint() string { + if x != nil { + return x.Endpoint + } + return "" +} + +func (x *RawPredictRequest) GetHttpBody() *httpbody.HttpBody { + if x != nil { + return x.HttpBody + } + return nil +} + // Request message for [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]. type ExplainRequest struct { state protoimpl.MessageState @@ -226,7 +298,7 @@ type ExplainRequest struct { func (x *ExplainRequest) Reset() { *x = ExplainRequest{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1beta1_prediction_service_proto_msgTypes[2] + mi := &file_google_cloud_aiplatform_v1beta1_prediction_service_proto_msgTypes[3] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -239,7 +311,7 @@ func (x *ExplainRequest) String() string { func (*ExplainRequest) ProtoMessage() {} func (x *ExplainRequest) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1beta1_prediction_service_proto_msgTypes[2] + mi := &file_google_cloud_aiplatform_v1beta1_prediction_service_proto_msgTypes[3] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -252,7 +324,7 @@ func (x *ExplainRequest) ProtoReflect() protoreflect.Message { // Deprecated: Use ExplainRequest.ProtoReflect.Descriptor instead. func (*ExplainRequest) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1beta1_prediction_service_proto_rawDescGZIP(), []int{2} + return file_google_cloud_aiplatform_v1beta1_prediction_service_proto_rawDescGZIP(), []int{3} } func (x *ExplainRequest) GetEndpoint() string { @@ -311,7 +383,7 @@ type ExplainResponse struct { func (x *ExplainResponse) Reset() { *x = ExplainResponse{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1beta1_prediction_service_proto_msgTypes[3] + mi := &file_google_cloud_aiplatform_v1beta1_prediction_service_proto_msgTypes[4] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -324,7 +396,7 @@ func (x *ExplainResponse) String() string { func (*ExplainResponse) ProtoMessage() {} func (x *ExplainResponse) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1beta1_prediction_service_proto_msgTypes[3] + mi := &file_google_cloud_aiplatform_v1beta1_prediction_service_proto_msgTypes[4] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -337,7 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file_google_cloud_aiplatform_v1beta1_prediction_service_proto_msgTypes = make([]protoimpl.MessageInfo, 4) +var file_google_cloud_aiplatform_v1beta1_prediction_service_proto_msgTypes = make([]protoimpl.MessageInfo, 5) var file_google_cloud_aiplatform_v1beta1_prediction_service_proto_goTypes = []interface{}{ (*PredictRequest)(nil), // 0: google.cloud.aiplatform.v1beta1.PredictRequest (*PredictResponse)(nil), // 1: google.cloud.aiplatform.v1beta1.PredictResponse - (*ExplainRequest)(nil), // 2: google.cloud.aiplatform.v1beta1.ExplainRequest - (*ExplainResponse)(nil), // 3: google.cloud.aiplatform.v1beta1.ExplainResponse - (*structpb.Value)(nil), // 4: google.protobuf.Value - (*ExplanationSpecOverride)(nil), // 5: google.cloud.aiplatform.v1beta1.ExplanationSpecOverride - (*Explanation)(nil), // 6: google.cloud.aiplatform.v1beta1.Explanation + (*RawPredictRequest)(nil), // 2: google.cloud.aiplatform.v1beta1.RawPredictRequest + (*ExplainRequest)(nil), // 3: google.cloud.aiplatform.v1beta1.ExplainRequest + (*ExplainResponse)(nil), // 4: google.cloud.aiplatform.v1beta1.ExplainResponse + (*structpb.Value)(nil), // 5: google.protobuf.Value + (*httpbody.HttpBody)(nil), // 6: google.api.HttpBody + (*ExplanationSpecOverride)(nil), // 7: google.cloud.aiplatform.v1beta1.ExplanationSpecOverride + (*Explanation)(nil), // 8: google.cloud.aiplatform.v1beta1.Explanation } var file_google_cloud_aiplatform_v1beta1_prediction_service_proto_depIdxs = []int32{ - 4, // 0: google.cloud.aiplatform.v1beta1.PredictRequest.instances:type_name -> google.protobuf.Value - 4, // 1: google.cloud.aiplatform.v1beta1.PredictRequest.parameters:type_name -> google.protobuf.Value - 4, // 2: google.cloud.aiplatform.v1beta1.PredictResponse.predictions:type_name -> google.protobuf.Value - 4, // 3: google.cloud.aiplatform.v1beta1.ExplainRequest.instances:type_name -> google.protobuf.Value - 4, // 4: google.cloud.aiplatform.v1beta1.ExplainRequest.parameters:type_name -> google.protobuf.Value - 5, // 5: google.cloud.aiplatform.v1beta1.ExplainRequest.explanation_spec_override:type_name -> google.cloud.aiplatform.v1beta1.ExplanationSpecOverride - 6, // 6: google.cloud.aiplatform.v1beta1.ExplainResponse.explanations:type_name -> google.cloud.aiplatform.v1beta1.Explanation - 4, // 7: google.cloud.aiplatform.v1beta1.ExplainResponse.predictions:type_name -> google.protobuf.Value - 0, // 8: google.cloud.aiplatform.v1beta1.PredictionService.Predict:input_type -> google.cloud.aiplatform.v1beta1.PredictRequest - 2, // 9: google.cloud.aiplatform.v1beta1.PredictionService.Explain:input_type -> google.cloud.aiplatform.v1beta1.ExplainRequest - 1, // 10: google.cloud.aiplatform.v1beta1.PredictionService.Predict:output_type -> google.cloud.aiplatform.v1beta1.PredictResponse - 3, // 11: google.cloud.aiplatform.v1beta1.PredictionService.Explain:output_type -> google.cloud.aiplatform.v1beta1.ExplainResponse - 10, // [10:12] is the sub-list for method output_type - 8, // [8:10] is the sub-list for method input_type - 8, // [8:8] is the sub-list for extension type_name - 8, // [8:8] is the sub-list for extension extendee - 0, // [0:8] is the sub-list for field type_name + 5, // 0: google.cloud.aiplatform.v1beta1.PredictRequest.instances:type_name -> google.protobuf.Value + 5, // 1: google.cloud.aiplatform.v1beta1.PredictRequest.parameters:type_name -> google.protobuf.Value + 5, // 2: google.cloud.aiplatform.v1beta1.PredictResponse.predictions:type_name -> google.protobuf.Value + 6, // 3: google.cloud.aiplatform.v1beta1.RawPredictRequest.http_body:type_name -> google.api.HttpBody + 5, // 4: google.cloud.aiplatform.v1beta1.ExplainRequest.instances:type_name -> google.protobuf.Value + 5, // 5: google.cloud.aiplatform.v1beta1.ExplainRequest.parameters:type_name -> google.protobuf.Value + 7, // 6: google.cloud.aiplatform.v1beta1.ExplainRequest.explanation_spec_override:type_name -> google.cloud.aiplatform.v1beta1.ExplanationSpecOverride + 8, // 7: google.cloud.aiplatform.v1beta1.ExplainResponse.explanations:type_name -> google.cloud.aiplatform.v1beta1.Explanation + 5, // 8: google.cloud.aiplatform.v1beta1.ExplainResponse.predictions:type_name -> google.protobuf.Value + 0, // 9: google.cloud.aiplatform.v1beta1.PredictionService.Predict:input_type -> google.cloud.aiplatform.v1beta1.PredictRequest + 2, // 10: google.cloud.aiplatform.v1beta1.PredictionService.RawPredict:input_type -> google.cloud.aiplatform.v1beta1.RawPredictRequest + 3, // 11: google.cloud.aiplatform.v1beta1.PredictionService.Explain:input_type -> google.cloud.aiplatform.v1beta1.ExplainRequest + 1, // 12: google.cloud.aiplatform.v1beta1.PredictionService.Predict:output_type -> google.cloud.aiplatform.v1beta1.PredictResponse + 6, // 13: google.cloud.aiplatform.v1beta1.PredictionService.RawPredict:output_type -> google.api.HttpBody + 4, // 14: google.cloud.aiplatform.v1beta1.PredictionService.Explain:output_type -> google.cloud.aiplatform.v1beta1.ExplainResponse + 12, // [12:15] is the sub-list for method output_type + 9, // [9:12] is the sub-list for method input_type + 9, // [9:9] is the sub-list for extension type_name + 9, // [9:9] is the sub-list for extension extendee + 0, // [0:9] is the sub-list for field type_name } func init() { file_google_cloud_aiplatform_v1beta1_prediction_service_proto_init() } @@ -567,7 +665,7 @@ func file_google_cloud_aiplatform_v1beta1_prediction_service_proto_init() { } } file_google_cloud_aiplatform_v1beta1_prediction_service_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*ExplainRequest); i { + switch v := v.(*RawPredictRequest); i { case 0: return &v.state case 1: @@ -579,6 +677,18 @@ func file_google_cloud_aiplatform_v1beta1_prediction_service_proto_init() { } } file_google_cloud_aiplatform_v1beta1_prediction_service_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*ExplainRequest); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1beta1_prediction_service_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} { switch v := v.(*ExplainResponse); i { case 0: return &v.state @@ -597,7 +707,7 @@ func file_google_cloud_aiplatform_v1beta1_prediction_service_proto_init() { GoPackagePath: reflect.TypeOf(x{}).PkgPath(), RawDescriptor: file_google_cloud_aiplatform_v1beta1_prediction_service_proto_rawDesc, NumEnums: 0, - NumMessages: 4, + NumMessages: 5, NumExtensions: 0, NumServices: 1, }, @@ -625,6 +735,8 @@ const _ = grpc.SupportPackageIsVersion6 type PredictionServiceClient interface { // Perform an online prediction. Predict(ctx context.Context, in *PredictRequest, opts ...grpc.CallOption) (*PredictResponse, error) + // Perform an online prediction with arbitrary http payload. + RawPredict(ctx context.Context, in *RawPredictRequest, opts ...grpc.CallOption) (*httpbody.HttpBody, error) // Perform an online explanation. // // If [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id] is specified, @@ -655,6 +767,15 @@ func (c *predictionServiceClient) Predict(ctx context.Context, in *PredictReques return out, nil } +func (c *predictionServiceClient) RawPredict(ctx context.Context, in *RawPredictRequest, opts ...grpc.CallOption) (*httpbody.HttpBody, error) { + out := new(httpbody.HttpBody) + err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.PredictionService/RawPredict", in, out, opts...) + if err != nil { + return nil, err + } + return out, nil +} + func (c *predictionServiceClient) Explain(ctx context.Context, in *ExplainRequest, opts ...grpc.CallOption) (*ExplainResponse, error) { out := new(ExplainResponse) err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.PredictionService/Explain", in, out, opts...) @@ -668,6 +789,8 @@ func (c *predictionServiceClient) Explain(ctx context.Context, in *ExplainReques type PredictionServiceServer interface { // Perform an online prediction. Predict(context.Context, *PredictRequest) (*PredictResponse, error) + // Perform an online prediction with arbitrary http payload. + RawPredict(context.Context, *RawPredictRequest) (*httpbody.HttpBody, error) // Perform an online explanation. // // If [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id] is specified, @@ -688,6 +811,9 @@ type UnimplementedPredictionServiceServer struct { func (*UnimplementedPredictionServiceServer) Predict(context.Context, *PredictRequest) (*PredictResponse, error) { return nil, status.Errorf(codes.Unimplemented, "method Predict not implemented") } +func (*UnimplementedPredictionServiceServer) RawPredict(context.Context, *RawPredictRequest) (*httpbody.HttpBody, error) { + return nil, status.Errorf(codes.Unimplemented, "method RawPredict not implemented") +} func (*UnimplementedPredictionServiceServer) Explain(context.Context, *ExplainRequest) (*ExplainResponse, error) { return nil, status.Errorf(codes.Unimplemented, "method Explain not implemented") } @@ -714,6 +840,24 @@ func _PredictionService_Predict_Handler(srv interface{}, ctx context.Context, de return interceptor(ctx, in, info, handler) } +func _PredictionService_RawPredict_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { + in := new(RawPredictRequest) + if err := dec(in); err != nil { + return nil, err + } + if interceptor == nil { + return srv.(PredictionServiceServer).RawPredict(ctx, in) + } + info := &grpc.UnaryServerInfo{ + Server: srv, + FullMethod: "/google.cloud.aiplatform.v1beta1.PredictionService/RawPredict", + } + handler := func(ctx context.Context, req interface{}) (interface{}, error) { + return srv.(PredictionServiceServer).RawPredict(ctx, req.(*RawPredictRequest)) + } + return interceptor(ctx, in, info, handler) +} + func _PredictionService_Explain_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { in := new(ExplainRequest) if err := dec(in); err != nil { @@ -740,6 +884,10 @@ var _PredictionService_serviceDesc = grpc.ServiceDesc{ MethodName: "Predict", Handler: _PredictionService_Predict_Handler, }, + { + MethodName: "RawPredict", + Handler: _PredictionService_RawPredict_Handler, + }, { MethodName: "Explain", Handler: _PredictionService_Explain_Handler, diff --git a/googleapis/cloud/aiplatform/v1beta1/specialist_pool.pb.go b/googleapis/cloud/aiplatform/v1beta1/specialist_pool.pb.go index dcf9c8a10..01528c0e2 100644 --- a/googleapis/cloud/aiplatform/v1beta1/specialist_pool.pb.go +++ b/googleapis/cloud/aiplatform/v1beta1/specialist_pool.pb.go @@ -37,11 +37,11 @@ const ( ) // SpecialistPool represents customers' own workforce to work on their data -// labeling jobs. It includes a group of specialist managers who are responsible -// for managing the labelers in this pool as well as customers' data labeling -// jobs associated with this pool. -// Customers create specialist pool as well as start data labeling jobs on -// Cloud, managers and labelers work with the jobs using CrowdCompute console. +// labeling jobs. It includes a group of specialist managers and workers. +// Managers are responsible for managing the workers in this pool as well as +// customers' data labeling jobs associated with this pool. Customers create +// specialist pool as well as start data labeling jobs on Cloud, managers and +// workers handle the jobs using CrowdCompute console. type SpecialistPool struct { state protoimpl.MessageState sizeCache protoimpl.SizeCache @@ -54,9 +54,9 @@ type SpecialistPool struct { // characters. // This field should be unique on project-level. DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"` - // Output only. The number of Specialists in this SpecialistPool. + // Output only. The number of managers in this SpecialistPool. SpecialistManagersCount int32 `protobuf:"varint,3,opt,name=specialist_managers_count,json=specialistManagersCount,proto3" json:"specialist_managers_count,omitempty"` - // The email addresses of the specialists in the SpecialistPool. + // The email addresses of the managers in the SpecialistPool. SpecialistManagerEmails []string `protobuf:"bytes,4,rep,name=specialist_manager_emails,json=specialistManagerEmails,proto3" json:"specialist_manager_emails,omitempty"` // Output only. The resource name of the pending data labeling jobs. PendingDataLabelingJobs []string `protobuf:"bytes,5,rep,name=pending_data_labeling_jobs,json=pendingDataLabelingJobs,proto3" json:"pending_data_labeling_jobs,omitempty"` diff --git a/googleapis/cloud/aiplatform/v1beta1/study.pb.go b/googleapis/cloud/aiplatform/v1beta1/study.pb.go index 7545859f0..3200a65cd 100644 --- a/googleapis/cloud/aiplatform/v1beta1/study.pb.go +++ b/googleapis/cloud/aiplatform/v1beta1/study.pb.go @@ -596,9 +596,19 @@ type Trial struct { // Output only. The CustomJob name linked to the Trial. // It's set for a HyperparameterTuningJob's Trial. CustomJob string `protobuf:"bytes,11,opt,name=custom_job,json=customJob,proto3" json:"custom_job,omitempty"` - // Output only. The web access URIs for the training job. - // The keys are the node names in the training jobs, e.g. workerpool0-0. - // The values are the URIs for each node's web portal in the job. + // Output only. URIs for accessing [interactive + // shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell) + // (one URI for each training node). Only available if this trial is part of + // a [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob] and the job's + // [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] field + // is `true`. + // + // The keys are names of each node used for the trial; for example, + // `workerpool0-0` for the primary node, `workerpool1-0` for the first node in + // the second worker pool, and `workerpool1-1` for the second node in the + // second worker pool. + // + // The values are the URIs for each node's interactive shell. WebAccessUris map[string]string `protobuf:"bytes,12,rep,name=web_access_uris,json=webAccessUris,proto3" json:"web_access_uris,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"` } @@ -796,6 +806,7 @@ func (x *StudySpec) GetMedianAutomatedStoppingSpec() *StudySpec_MedianAutomatedS return nil } +// Deprecated: Do not use. func (x *StudySpec) GetConvexStopConfig() *StudySpec_ConvexStopConfig { if x, ok := x.GetAutomatedStoppingSpec().(*StudySpec_ConvexStopConfig_); ok { return x.ConvexStopConfig @@ -853,7 +864,10 @@ type StudySpec_MedianAutomatedStoppingSpec_ struct { } type StudySpec_ConvexStopConfig_ struct { + // Deprecated. // The automated early stopping using convex stopping rule. + // + // Deprecated: Do not use. ConvexStopConfig *StudySpec_ConvexStopConfig `protobuf:"bytes,8,opt,name=convex_stop_config,json=convexStopConfig,proto3,oneof"` } @@ -1315,6 +1329,8 @@ func (x *StudySpec_MedianAutomatedStoppingSpec) GetUseElapsedDuration() bool { } // Configuration for ConvexStopPolicy. +// +// Deprecated: Do not use. type StudySpec_ConvexStopConfig struct { state protoimpl.MessageState sizeCache protoimpl.SizeCache @@ -2144,7 +2160,7 @@ var file_google_cloud_aiplatform_v1beta1_study_proto_rawDesc = []byte{ 0x74, 0x7d, 0x2f, 0x6c, 0x6f, 0x63, 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x73, 0x2f, 0x7b, 0x6c, 0x6f, 0x63, 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x7d, 0x2f, 0x73, 0x74, 0x75, 0x64, 0x69, 0x65, 0x73, 0x2f, 0x7b, 0x73, 0x74, 0x75, 0x64, 0x79, 0x7d, 0x2f, 0x74, 0x72, 0x69, 0x61, 0x6c, 0x73, 0x2f, 0x7b, - 0x74, 0x72, 0x69, 0x61, 0x6c, 0x7d, 0x22, 0xf0, 0x1f, 0x0a, 0x09, 0x53, 0x74, 0x75, 0x64, 0x79, + 0x74, 0x72, 0x69, 0x61, 0x6c, 0x7d, 0x22, 0xf8, 0x1f, 0x0a, 0x09, 0x53, 0x74, 0x75, 0x64, 0x79, 0x53, 0x70, 0x65, 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`protobuf:"bytes,6,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"` // Output only. Timestamp when this TensorboardRun was last updated. UpdateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"` - Labels map[string]string `protobuf:"bytes,8,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"` + // The labels with user-defined metadata to organize your TensorboardRuns. + // + // This field will be used to filter and visualize Runs in the Tensorboard UI. + // For example, a Vertex AI training job can set a label + // aiplatform.googleapis.com/training_job_id=xxxxx to all the runs created + // within that job. An end user can set a label experiment_id=xxxxx for all + // the runs produced in a Jupyter notebook. These runs can be grouped by a + // label value and visualized together in the Tensorboard UI. + // + // 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. + // No more than 64 user labels can be associated with one TensorboardRun + // (System labels are excluded). + // + // See https://goo.gl/xmQnxf for more information and examples of labels. + // System reserved label keys are prefixed with "aiplatform.googleapis.com/" + // and are immutable. + Labels map[string]string `protobuf:"bytes,8,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"` // Used to perform a consistent read-modify-write updates. If not set, a blind // "overwrite" update happens. Etag string `protobuf:"bytes,9,opt,name=etag,proto3" json:"etag,omitempty"` diff --git a/googleapis/cloud/aiplatform/v1beta1/tensorboard_service.pb.go b/googleapis/cloud/aiplatform/v1beta1/tensorboard_service.pb.go index 615719c62..d4e0ab2f0 100644 --- a/googleapis/cloud/aiplatform/v1beta1/tensorboard_service.pb.go +++ b/googleapis/cloud/aiplatform/v1beta1/tensorboard_service.pb.go @@ -160,7 +160,7 @@ type ListTensorboardsRequest struct { // Required. The resource name of the Location to list Tensorboards. // Format: - // 'projects/{project}/locations/{location}' + // `projects/{project}/locations/{location}` Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` // Lists the Tensorboards that match the filter expression. Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"` @@ -838,14 +838,126 @@ func (x *DeleteTensorboardExperimentRequest) GetName() string { return "" } +// Request message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardRuns]. +type BatchCreateTensorboardRunsRequest struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // Required. The resource name of the TensorboardExperiment to create the + // TensorboardRuns in. Format: + // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}` + // The parent field in the CreateTensorboardRunRequest messages must match + // this field. + Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` + // Required. The request message specifying the TensorboardRuns to create. + // A maximum of 1000 TensorboardRuns can be created in a batch. + Requests []*CreateTensorboardRunRequest `protobuf:"bytes,2,rep,name=requests,proto3" json:"requests,omitempty"` +} + +func (x *BatchCreateTensorboardRunsRequest) Reset() { + *x = BatchCreateTensorboardRunsRequest{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[12] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *BatchCreateTensorboardRunsRequest) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*BatchCreateTensorboardRunsRequest) ProtoMessage() {} + +func (x *BatchCreateTensorboardRunsRequest) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[12] + 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 BatchCreateTensorboardRunsRequest.ProtoReflect.Descriptor instead. +func (*BatchCreateTensorboardRunsRequest) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{12} +} + +func (x *BatchCreateTensorboardRunsRequest) GetParent() string { + if x != nil { + return x.Parent + } + return "" +} + +func (x *BatchCreateTensorboardRunsRequest) GetRequests() []*CreateTensorboardRunRequest { + if x != nil { + return x.Requests + } + return nil +} + +// Response message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardRuns]. +type BatchCreateTensorboardRunsResponse struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // The created TensorboardRuns. + TensorboardRuns []*TensorboardRun `protobuf:"bytes,1,rep,name=tensorboard_runs,json=tensorboardRuns,proto3" json:"tensorboard_runs,omitempty"` +} + +func (x *BatchCreateTensorboardRunsResponse) Reset() { + *x = BatchCreateTensorboardRunsResponse{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[13] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *BatchCreateTensorboardRunsResponse) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*BatchCreateTensorboardRunsResponse) ProtoMessage() {} + +func (x *BatchCreateTensorboardRunsResponse) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[13] + 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 BatchCreateTensorboardRunsResponse.ProtoReflect.Descriptor instead. +func (*BatchCreateTensorboardRunsResponse) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{13} +} + +func (x *BatchCreateTensorboardRunsResponse) GetTensorboardRuns() []*TensorboardRun { + if x != nil { + return x.TensorboardRuns + } + return nil +} + // Request message for [TensorboardService.CreateTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardRun]. type CreateTensorboardRunRequest struct { state protoimpl.MessageState sizeCache protoimpl.SizeCache unknownFields protoimpl.UnknownFields - // Required. The resource name of the Tensorboard to create the TensorboardRun in. - // Format: + // Required. The resource name of the TensorboardExperiment to create the TensorboardRun + // in. Format: // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}` Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` // Required. The TensorboardRun to create. @@ -861,7 +973,7 @@ type CreateTensorboardRunRequest struct { func (x *CreateTensorboardRunRequest) Reset() { *x = CreateTensorboardRunRequest{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[12] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[14] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -874,7 +986,7 @@ func (x *CreateTensorboardRunRequest) String() string { func (*CreateTensorboardRunRequest) ProtoMessage() {} func (x *CreateTensorboardRunRequest) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[12] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[14] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -887,7 +999,7 @@ func (x *CreateTensorboardRunRequest) ProtoReflect() protoreflect.Message { // Deprecated: Use CreateTensorboardRunRequest.ProtoReflect.Descriptor instead. func (*CreateTensorboardRunRequest) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{12} + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{14} } func (x *CreateTensorboardRunRequest) GetParent() string { @@ -926,7 +1038,7 @@ type GetTensorboardRunRequest struct { func (x *GetTensorboardRunRequest) Reset() { *x = GetTensorboardRunRequest{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[13] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[15] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -939,7 +1051,7 @@ func (x *GetTensorboardRunRequest) String() string { func (*GetTensorboardRunRequest) ProtoMessage() {} func (x *GetTensorboardRunRequest) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[13] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[15] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -952,7 +1064,7 @@ func (x *GetTensorboardRunRequest) ProtoReflect() protoreflect.Message { // Deprecated: Use GetTensorboardRunRequest.ProtoReflect.Descriptor instead. func (*GetTensorboardRunRequest) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{13} + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{15} } func (x *GetTensorboardRunRequest) GetName() string { @@ -979,7 +1091,7 @@ type ReadTensorboardBlobDataRequest struct { func (x *ReadTensorboardBlobDataRequest) Reset() { *x = ReadTensorboardBlobDataRequest{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[14] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[16] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -992,7 +1104,7 @@ func (x *ReadTensorboardBlobDataRequest) String() string { func (*ReadTensorboardBlobDataRequest) ProtoMessage() {} func (x *ReadTensorboardBlobDataRequest) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[14] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[16] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -1005,7 +1117,7 @@ func (x *ReadTensorboardBlobDataRequest) ProtoReflect() protoreflect.Message { // Deprecated: Use ReadTensorboardBlobDataRequest.ProtoReflect.Descriptor instead. func (*ReadTensorboardBlobDataRequest) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{14} + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{16} } func (x *ReadTensorboardBlobDataRequest) GetTimeSeries() string { @@ -1035,7 +1147,7 @@ type ReadTensorboardBlobDataResponse struct { func (x *ReadTensorboardBlobDataResponse) Reset() { *x = ReadTensorboardBlobDataResponse{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[15] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[17] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -1048,7 +1160,7 @@ func (x *ReadTensorboardBlobDataResponse) String() string { func (*ReadTensorboardBlobDataResponse) ProtoMessage() {} func (x *ReadTensorboardBlobDataResponse) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[15] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[17] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -1061,7 +1173,7 @@ func (x *ReadTensorboardBlobDataResponse) ProtoReflect() protoreflect.Message { // Deprecated: Use ReadTensorboardBlobDataResponse.ProtoReflect.Descriptor instead. func (*ReadTensorboardBlobDataResponse) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{15} + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{17} } func (x *ReadTensorboardBlobDataResponse) GetBlobs() []*TensorboardBlob { @@ -1077,7 +1189,7 @@ type ListTensorboardRunsRequest struct { sizeCache protoimpl.SizeCache unknownFields protoimpl.UnknownFields - // Required. The resource name of the Tensorboard to list TensorboardRuns. + // Required. The resource name of the TensorboardExperiment to list TensorboardRuns. // Format: // 'projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}' Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` @@ -1105,7 +1217,7 @@ type ListTensorboardRunsRequest struct { func (x *ListTensorboardRunsRequest) Reset() { *x = ListTensorboardRunsRequest{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[16] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[18] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -1118,7 +1230,7 @@ func (x *ListTensorboardRunsRequest) String() string { func (*ListTensorboardRunsRequest) ProtoMessage() {} func (x *ListTensorboardRunsRequest) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[16] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[18] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -1131,7 +1243,7 @@ func (x *ListTensorboardRunsRequest) ProtoReflect() protoreflect.Message { // Deprecated: Use ListTensorboardRunsRequest.ProtoReflect.Descriptor instead. func (*ListTensorboardRunsRequest) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{16} + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{18} } func (x *ListTensorboardRunsRequest) GetParent() string { @@ -1193,7 +1305,7 @@ type ListTensorboardRunsResponse struct { func (x *ListTensorboardRunsResponse) Reset() { *x = ListTensorboardRunsResponse{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[17] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[19] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -1206,7 +1318,7 @@ func (x *ListTensorboardRunsResponse) String() string { func (*ListTensorboardRunsResponse) ProtoMessage() {} func (x *ListTensorboardRunsResponse) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[17] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[19] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -1219,7 +1331,7 @@ func (x *ListTensorboardRunsResponse) ProtoReflect() protoreflect.Message { // Deprecated: Use ListTensorboardRunsResponse.ProtoReflect.Descriptor instead. func (*ListTensorboardRunsResponse) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{17} + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{19} } func (x *ListTensorboardRunsResponse) GetTensorboardRuns() []*TensorboardRun { @@ -1258,7 +1370,7 @@ type UpdateTensorboardRunRequest struct { func (x *UpdateTensorboardRunRequest) Reset() { *x = UpdateTensorboardRunRequest{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[18] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[20] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -1271,7 +1383,7 @@ func (x *UpdateTensorboardRunRequest) String() string { func (*UpdateTensorboardRunRequest) ProtoMessage() {} func (x *UpdateTensorboardRunRequest) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[18] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[20] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -1284,7 +1396,7 @@ func (x *UpdateTensorboardRunRequest) ProtoReflect() protoreflect.Message { // Deprecated: Use UpdateTensorboardRunRequest.ProtoReflect.Descriptor instead. func (*UpdateTensorboardRunRequest) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{18} + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{20} } func (x *UpdateTensorboardRunRequest) GetUpdateMask() *fieldmaskpb.FieldMask { @@ -1316,7 +1428,7 @@ type DeleteTensorboardRunRequest struct { func (x *DeleteTensorboardRunRequest) Reset() { *x = DeleteTensorboardRunRequest{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[19] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[21] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -1329,7 +1441,7 @@ func (x *DeleteTensorboardRunRequest) String() string { func (*DeleteTensorboardRunRequest) ProtoMessage() {} func (x *DeleteTensorboardRunRequest) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[19] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[21] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -1342,7 +1454,7 @@ func (x *DeleteTensorboardRunRequest) ProtoReflect() protoreflect.Message { // Deprecated: Use DeleteTensorboardRunRequest.ProtoReflect.Descriptor instead. func (*DeleteTensorboardRunRequest) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{19} + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{21} } func (x *DeleteTensorboardRunRequest) GetName() string { @@ -1352,6 +1464,120 @@ func (x *DeleteTensorboardRunRequest) GetName() string { return "" } +// Request message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardTimeSeries]. +type BatchCreateTensorboardTimeSeriesRequest struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // Required. The resource name of the TensorboardExperiment to create the + // TensorboardTimeSeries in. + // Format: + // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}` + // The TensorboardRuns referenced by the parent fields in the + // CreateTensorboardTimeSeriesRequest messages must be sub resources of this + // TensorboardExperiment. + Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` + // Required. The request message specifying the TensorboardTimeSeries to create. + // A maximum of 1000 TensorboardTimeSeries can be created in a batch. + Requests []*CreateTensorboardTimeSeriesRequest `protobuf:"bytes,2,rep,name=requests,proto3" json:"requests,omitempty"` +} + +func (x *BatchCreateTensorboardTimeSeriesRequest) Reset() { + *x = BatchCreateTensorboardTimeSeriesRequest{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[22] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *BatchCreateTensorboardTimeSeriesRequest) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*BatchCreateTensorboardTimeSeriesRequest) ProtoMessage() {} + +func (x *BatchCreateTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[22] + 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 BatchCreateTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead. +func (*BatchCreateTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{22} +} + +func (x *BatchCreateTensorboardTimeSeriesRequest) GetParent() string { + if x != nil { + return x.Parent + } + return "" +} + +func (x *BatchCreateTensorboardTimeSeriesRequest) GetRequests() []*CreateTensorboardTimeSeriesRequest { + if x != nil { + return x.Requests + } + return nil +} + +// Response message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardTimeSeries]. +type BatchCreateTensorboardTimeSeriesResponse struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // The created TensorboardTimeSeries. + TensorboardTimeSeries []*TensorboardTimeSeries `protobuf:"bytes,1,rep,name=tensorboard_time_series,json=tensorboardTimeSeries,proto3" json:"tensorboard_time_series,omitempty"` +} + +func (x *BatchCreateTensorboardTimeSeriesResponse) Reset() { + *x = BatchCreateTensorboardTimeSeriesResponse{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[23] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *BatchCreateTensorboardTimeSeriesResponse) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*BatchCreateTensorboardTimeSeriesResponse) ProtoMessage() {} + +func (x *BatchCreateTensorboardTimeSeriesResponse) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[23] + 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 BatchCreateTensorboardTimeSeriesResponse.ProtoReflect.Descriptor instead. +func (*BatchCreateTensorboardTimeSeriesResponse) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{23} +} + +func (x *BatchCreateTensorboardTimeSeriesResponse) GetTensorboardTimeSeries() []*TensorboardTimeSeries { + if x != nil { + return x.TensorboardTimeSeries + } + return nil +} + // Request message for [TensorboardService.CreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardTimeSeries]. type CreateTensorboardTimeSeriesRequest struct { state protoimpl.MessageState @@ -1376,7 +1602,7 @@ type CreateTensorboardTimeSeriesRequest struct { func (x *CreateTensorboardTimeSeriesRequest) Reset() { *x = CreateTensorboardTimeSeriesRequest{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[20] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[24] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -1389,7 +1615,7 @@ func (x *CreateTensorboardTimeSeriesRequest) String() string { func (*CreateTensorboardTimeSeriesRequest) ProtoMessage() {} func (x *CreateTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[20] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[24] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -1402,7 +1628,7 @@ func (x *CreateTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message // Deprecated: Use CreateTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead. func (*CreateTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{20} + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{24} } func (x *CreateTensorboardTimeSeriesRequest) GetParent() string { @@ -1441,7 +1667,7 @@ type GetTensorboardTimeSeriesRequest struct { func (x *GetTensorboardTimeSeriesRequest) Reset() { *x = GetTensorboardTimeSeriesRequest{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[21] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[25] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -1454,7 +1680,7 @@ func (x *GetTensorboardTimeSeriesRequest) String() string { func (*GetTensorboardTimeSeriesRequest) ProtoMessage() {} func (x *GetTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[21] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[25] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -1467,7 +1693,7 @@ func (x *GetTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message { // Deprecated: Use GetTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead. func (*GetTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{21} + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{25} } func (x *GetTensorboardTimeSeriesRequest) GetName() string { @@ -1511,7 +1737,7 @@ type ListTensorboardTimeSeriesRequest struct { func (x *ListTensorboardTimeSeriesRequest) Reset() { *x = ListTensorboardTimeSeriesRequest{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[22] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[26] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -1524,7 +1750,7 @@ func (x *ListTensorboardTimeSeriesRequest) String() string { func (*ListTensorboardTimeSeriesRequest) ProtoMessage() {} func (x *ListTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[22] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[26] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -1537,7 +1763,7 @@ func (x *ListTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message { // Deprecated: Use ListTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead. func (*ListTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{22} + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{26} } func (x *ListTensorboardTimeSeriesRequest) GetParent() string { @@ -1599,7 +1825,7 @@ type ListTensorboardTimeSeriesResponse struct { func (x *ListTensorboardTimeSeriesResponse) Reset() { *x = ListTensorboardTimeSeriesResponse{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[23] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[27] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -1612,7 +1838,7 @@ func (x *ListTensorboardTimeSeriesResponse) String() string { func (*ListTensorboardTimeSeriesResponse) ProtoMessage() {} func (x *ListTensorboardTimeSeriesResponse) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[23] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[27] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -1625,7 +1851,7 @@ func (x *ListTensorboardTimeSeriesResponse) ProtoReflect() protoreflect.Message // Deprecated: Use ListTensorboardTimeSeriesResponse.ProtoReflect.Descriptor instead. func (*ListTensorboardTimeSeriesResponse) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{23} + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{27} } func (x *ListTensorboardTimeSeriesResponse) GetTensorboardTimeSeries() []*TensorboardTimeSeries { @@ -1665,7 +1891,7 @@ type UpdateTensorboardTimeSeriesRequest struct { func (x *UpdateTensorboardTimeSeriesRequest) Reset() { *x = UpdateTensorboardTimeSeriesRequest{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[24] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[28] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -1678,7 +1904,7 @@ func (x *UpdateTensorboardTimeSeriesRequest) String() string { func (*UpdateTensorboardTimeSeriesRequest) ProtoMessage() {} func (x *UpdateTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[24] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[28] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -1691,7 +1917,7 @@ func (x *UpdateTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message // Deprecated: Use UpdateTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead. func (*UpdateTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{24} + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{28} } func (x *UpdateTensorboardTimeSeriesRequest) GetUpdateMask() *fieldmaskpb.FieldMask { @@ -1723,7 +1949,7 @@ type DeleteTensorboardTimeSeriesRequest struct { func (x *DeleteTensorboardTimeSeriesRequest) Reset() { *x = DeleteTensorboardTimeSeriesRequest{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[25] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[29] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -1736,7 +1962,7 @@ func (x *DeleteTensorboardTimeSeriesRequest) String() string { func (*DeleteTensorboardTimeSeriesRequest) ProtoMessage() {} func (x *DeleteTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[25] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[29] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -1749,7 +1975,7 @@ func (x *DeleteTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message // Deprecated: Use DeleteTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead. func (*DeleteTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{25} + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{29} } func (x *DeleteTensorboardTimeSeriesRequest) GetName() string { @@ -1781,7 +2007,7 @@ type ReadTensorboardTimeSeriesDataRequest struct { func (x *ReadTensorboardTimeSeriesDataRequest) Reset() { *x = ReadTensorboardTimeSeriesDataRequest{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[26] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[30] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -1794,7 +2020,7 @@ func (x *ReadTensorboardTimeSeriesDataRequest) String() string { func (*ReadTensorboardTimeSeriesDataRequest) ProtoMessage() {} func (x *ReadTensorboardTimeSeriesDataRequest) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[26] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[30] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -1807,7 +2033,7 @@ func (x *ReadTensorboardTimeSeriesDataRequest) ProtoReflect() protoreflect.Messa // Deprecated: Use ReadTensorboardTimeSeriesDataRequest.ProtoReflect.Descriptor instead. func (*ReadTensorboardTimeSeriesDataRequest) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{26} + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{30} } func (x *ReadTensorboardTimeSeriesDataRequest) GetTensorboardTimeSeries() string { @@ -1844,7 +2070,7 @@ type ReadTensorboardTimeSeriesDataResponse struct { func (x *ReadTensorboardTimeSeriesDataResponse) Reset() { *x = ReadTensorboardTimeSeriesDataResponse{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[27] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[31] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -1857,7 +2083,7 @@ func (x *ReadTensorboardTimeSeriesDataResponse) String() string { func (*ReadTensorboardTimeSeriesDataResponse) ProtoMessage() {} func (x *ReadTensorboardTimeSeriesDataResponse) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[27] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[31] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -1870,7 +2096,7 @@ func (x *ReadTensorboardTimeSeriesDataResponse) ProtoReflect() protoreflect.Mess // Deprecated: Use ReadTensorboardTimeSeriesDataResponse.ProtoReflect.Descriptor instead. func (*ReadTensorboardTimeSeriesDataResponse) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{27} + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{31} } func (x *ReadTensorboardTimeSeriesDataResponse) GetTimeSeriesData() *TimeSeriesData { @@ -1880,6 +2106,105 @@ func (x *ReadTensorboardTimeSeriesDataResponse) GetTimeSeriesData() *TimeSeriesD return nil } +// Request message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardExperimentData]. +type WriteTensorboardExperimentDataRequest struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // Required. The resource name of the TensorboardExperiment to write data to. + // Format: + // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}` + TensorboardExperiment string `protobuf:"bytes,1,opt,name=tensorboard_experiment,json=tensorboardExperiment,proto3" json:"tensorboard_experiment,omitempty"` + // Required. Requests containing per-run TensorboardTimeSeries data to write. + WriteRunDataRequests []*WriteTensorboardRunDataRequest `protobuf:"bytes,2,rep,name=write_run_data_requests,json=writeRunDataRequests,proto3" json:"write_run_data_requests,omitempty"` +} + +func (x *WriteTensorboardExperimentDataRequest) Reset() { + *x = WriteTensorboardExperimentDataRequest{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[32] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *WriteTensorboardExperimentDataRequest) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*WriteTensorboardExperimentDataRequest) ProtoMessage() {} + +func (x *WriteTensorboardExperimentDataRequest) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[32] + 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 WriteTensorboardExperimentDataRequest.ProtoReflect.Descriptor instead. +func (*WriteTensorboardExperimentDataRequest) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{32} +} + +func (x *WriteTensorboardExperimentDataRequest) GetTensorboardExperiment() string { + if x != nil { + return x.TensorboardExperiment + } + return "" +} + +func (x *WriteTensorboardExperimentDataRequest) GetWriteRunDataRequests() []*WriteTensorboardRunDataRequest { + if x != nil { + return x.WriteRunDataRequests + } + return nil +} + +// Response message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardExperimentData]. +type WriteTensorboardExperimentDataResponse struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields +} + +func (x *WriteTensorboardExperimentDataResponse) Reset() { + *x = WriteTensorboardExperimentDataResponse{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[33] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *WriteTensorboardExperimentDataResponse) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*WriteTensorboardExperimentDataResponse) ProtoMessage() {} + +func (x *WriteTensorboardExperimentDataResponse) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[33] + 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 WriteTensorboardExperimentDataResponse.ProtoReflect.Descriptor instead. +func (*WriteTensorboardExperimentDataResponse) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{33} +} + // Request message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData]. type WriteTensorboardRunDataRequest struct { state protoimpl.MessageState @@ -1901,7 +2226,7 @@ type WriteTensorboardRunDataRequest struct { func (x *WriteTensorboardRunDataRequest) Reset() { *x = WriteTensorboardRunDataRequest{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[28] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[34] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -1914,7 +2239,7 @@ func (x *WriteTensorboardRunDataRequest) String() string { func (*WriteTensorboardRunDataRequest) ProtoMessage() {} func (x *WriteTensorboardRunDataRequest) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[28] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[34] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -1927,7 +2252,7 @@ func (x *WriteTensorboardRunDataRequest) ProtoReflect() protoreflect.Message { // Deprecated: Use WriteTensorboardRunDataRequest.ProtoReflect.Descriptor instead. func (*WriteTensorboardRunDataRequest) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{28} + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{34} } func (x *WriteTensorboardRunDataRequest) GetTensorboardRun() string { @@ -1954,7 +2279,7 @@ type WriteTensorboardRunDataResponse struct { func (x *WriteTensorboardRunDataResponse) Reset() { *x = WriteTensorboardRunDataResponse{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[29] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[35] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -1967,7 +2292,7 @@ func (x *WriteTensorboardRunDataResponse) String() string { func (*WriteTensorboardRunDataResponse) ProtoMessage() {} func (x *WriteTensorboardRunDataResponse) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[29] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[35] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -1980,7 +2305,7 @@ func (x *WriteTensorboardRunDataResponse) ProtoReflect() protoreflect.Message { // Deprecated: Use WriteTensorboardRunDataResponse.ProtoReflect.Descriptor instead. func (*WriteTensorboardRunDataResponse) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{29} + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{35} } // Request message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData]. @@ -2016,7 +2341,7 @@ type ExportTensorboardTimeSeriesDataRequest struct { func (x *ExportTensorboardTimeSeriesDataRequest) Reset() { *x = ExportTensorboardTimeSeriesDataRequest{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[30] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[36] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -2029,7 +2354,7 @@ func (x *ExportTensorboardTimeSeriesDataRequest) String() string { func (*ExportTensorboardTimeSeriesDataRequest) ProtoMessage() {} func (x *ExportTensorboardTimeSeriesDataRequest) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[30] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[36] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -2042,7 +2367,7 @@ func (x *ExportTensorboardTimeSeriesDataRequest) ProtoReflect() protoreflect.Mes // Deprecated: Use ExportTensorboardTimeSeriesDataRequest.ProtoReflect.Descriptor instead. func (*ExportTensorboardTimeSeriesDataRequest) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{30} + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{36} } func (x *ExportTensorboardTimeSeriesDataRequest) GetTensorboardTimeSeries() string { @@ -2097,7 +2422,7 @@ type ExportTensorboardTimeSeriesDataResponse struct { func (x *ExportTensorboardTimeSeriesDataResponse) Reset() { *x = ExportTensorboardTimeSeriesDataResponse{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[31] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[37] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -2110,7 +2435,7 @@ func (x *ExportTensorboardTimeSeriesDataResponse) String() string { func (*ExportTensorboardTimeSeriesDataResponse) ProtoMessage() {} func (x *ExportTensorboardTimeSeriesDataResponse) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[31] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[37] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -2123,7 +2448,7 @@ func (x *ExportTensorboardTimeSeriesDataResponse) ProtoReflect() protoreflect.Me // Deprecated: Use ExportTensorboardTimeSeriesDataResponse.ProtoReflect.Descriptor instead. func (*ExportTensorboardTimeSeriesDataResponse) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{31} + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{37} } func (x *ExportTensorboardTimeSeriesDataResponse) GetTimeSeriesDataPoints() []*TimeSeriesDataPoint { @@ -2153,7 +2478,7 @@ type CreateTensorboardOperationMetadata struct { func (x *CreateTensorboardOperationMetadata) Reset() { *x = CreateTensorboardOperationMetadata{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[32] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[38] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -2166,7 +2491,7 @@ func (x *CreateTensorboardOperationMetadata) String() string { func (*CreateTensorboardOperationMetadata) ProtoMessage() {} func (x *CreateTensorboardOperationMetadata) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[32] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[38] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -2179,7 +2504,7 @@ func (x *CreateTensorboardOperationMetadata) ProtoReflect() protoreflect.Message // Deprecated: Use CreateTensorboardOperationMetadata.ProtoReflect.Descriptor instead. func (*CreateTensorboardOperationMetadata) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{32} + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{38} } func (x *CreateTensorboardOperationMetadata) GetGenericMetadata() *GenericOperationMetadata { @@ -2202,7 +2527,7 @@ type UpdateTensorboardOperationMetadata struct { func (x *UpdateTensorboardOperationMetadata) Reset() { *x = UpdateTensorboardOperationMetadata{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[33] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[39] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -2215,7 +2540,7 @@ func (x *UpdateTensorboardOperationMetadata) String() string { func (*UpdateTensorboardOperationMetadata) ProtoMessage() {} func (x *UpdateTensorboardOperationMetadata) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[33] + mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[39] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -2228,7 +2553,7 @@ func (x *UpdateTensorboardOperationMetadata) ProtoReflect() protoreflect.Message // Deprecated: Use UpdateTensorboardOperationMetadata.ProtoReflect.Descriptor instead. func (*UpdateTensorboardOperationMetadata) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{33} + return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{39} } func (x *UpdateTensorboardOperationMetadata) GetGenericMetadata() *GenericOperationMetadata { @@ -2416,687 +2741,811 @@ var file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDesc = []b 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google.cloud.aiplatform.v1beta1.GetTensorboardRequest - (*ListTensorboardsRequest)(nil), // 2: google.cloud.aiplatform.v1beta1.ListTensorboardsRequest - (*ListTensorboardsResponse)(nil), // 3: google.cloud.aiplatform.v1beta1.ListTensorboardsResponse - (*UpdateTensorboardRequest)(nil), // 4: google.cloud.aiplatform.v1beta1.UpdateTensorboardRequest - (*DeleteTensorboardRequest)(nil), // 5: google.cloud.aiplatform.v1beta1.DeleteTensorboardRequest - (*CreateTensorboardExperimentRequest)(nil), // 6: google.cloud.aiplatform.v1beta1.CreateTensorboardExperimentRequest - (*GetTensorboardExperimentRequest)(nil), // 7: google.cloud.aiplatform.v1beta1.GetTensorboardExperimentRequest - (*ListTensorboardExperimentsRequest)(nil), // 8: google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest - (*ListTensorboardExperimentsResponse)(nil), // 9: google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsResponse - (*UpdateTensorboardExperimentRequest)(nil), // 10: google.cloud.aiplatform.v1beta1.UpdateTensorboardExperimentRequest - (*DeleteTensorboardExperimentRequest)(nil), // 11: google.cloud.aiplatform.v1beta1.DeleteTensorboardExperimentRequest - (*CreateTensorboardRunRequest)(nil), // 12: google.cloud.aiplatform.v1beta1.CreateTensorboardRunRequest - (*GetTensorboardRunRequest)(nil), // 13: google.cloud.aiplatform.v1beta1.GetTensorboardRunRequest - (*ReadTensorboardBlobDataRequest)(nil), // 14: google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataRequest - (*ReadTensorboardBlobDataResponse)(nil), // 15: google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataResponse - (*ListTensorboardRunsRequest)(nil), // 16: google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest - (*ListTensorboardRunsResponse)(nil), // 17: google.cloud.aiplatform.v1beta1.ListTensorboardRunsResponse - (*UpdateTensorboardRunRequest)(nil), // 18: google.cloud.aiplatform.v1beta1.UpdateTensorboardRunRequest - (*DeleteTensorboardRunRequest)(nil), // 19: google.cloud.aiplatform.v1beta1.DeleteTensorboardRunRequest - (*CreateTensorboardTimeSeriesRequest)(nil), // 20: google.cloud.aiplatform.v1beta1.CreateTensorboardTimeSeriesRequest - (*GetTensorboardTimeSeriesRequest)(nil), // 21: google.cloud.aiplatform.v1beta1.GetTensorboardTimeSeriesRequest - (*ListTensorboardTimeSeriesRequest)(nil), // 22: google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest - (*ListTensorboardTimeSeriesResponse)(nil), // 23: google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesResponse - (*UpdateTensorboardTimeSeriesRequest)(nil), // 24: google.cloud.aiplatform.v1beta1.UpdateTensorboardTimeSeriesRequest - (*DeleteTensorboardTimeSeriesRequest)(nil), // 25: google.cloud.aiplatform.v1beta1.DeleteTensorboardTimeSeriesRequest - (*ReadTensorboardTimeSeriesDataRequest)(nil), // 26: google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataRequest - (*ReadTensorboardTimeSeriesDataResponse)(nil), // 27: google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataResponse - (*WriteTensorboardRunDataRequest)(nil), // 28: google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataRequest - (*WriteTensorboardRunDataResponse)(nil), // 29: google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataResponse - (*ExportTensorboardTimeSeriesDataRequest)(nil), // 30: google.cloud.aiplatform.v1beta1.ExportTensorboardTimeSeriesDataRequest - (*ExportTensorboardTimeSeriesDataResponse)(nil), // 31: google.cloud.aiplatform.v1beta1.ExportTensorboardTimeSeriesDataResponse - (*CreateTensorboardOperationMetadata)(nil), // 32: google.cloud.aiplatform.v1beta1.CreateTensorboardOperationMetadata - (*UpdateTensorboardOperationMetadata)(nil), // 33: google.cloud.aiplatform.v1beta1.UpdateTensorboardOperationMetadata - (*Tensorboard)(nil), // 34: google.cloud.aiplatform.v1beta1.Tensorboard - (*fieldmaskpb.FieldMask)(nil), // 35: google.protobuf.FieldMask - (*TensorboardExperiment)(nil), // 36: google.cloud.aiplatform.v1beta1.TensorboardExperiment - (*TensorboardRun)(nil), // 37: google.cloud.aiplatform.v1beta1.TensorboardRun - (*TensorboardBlob)(nil), // 38: google.cloud.aiplatform.v1beta1.TensorboardBlob - (*TensorboardTimeSeries)(nil), // 39: google.cloud.aiplatform.v1beta1.TensorboardTimeSeries - (*TimeSeriesData)(nil), // 40: google.cloud.aiplatform.v1beta1.TimeSeriesData - (*TimeSeriesDataPoint)(nil), // 41: google.cloud.aiplatform.v1beta1.TimeSeriesDataPoint - (*GenericOperationMetadata)(nil), // 42: google.cloud.aiplatform.v1beta1.GenericOperationMetadata - (*longrunning.Operation)(nil), // 43: google.longrunning.Operation + (*CreateTensorboardRequest)(nil), // 0: google.cloud.aiplatform.v1beta1.CreateTensorboardRequest + (*GetTensorboardRequest)(nil), // 1: google.cloud.aiplatform.v1beta1.GetTensorboardRequest + (*ListTensorboardsRequest)(nil), // 2: google.cloud.aiplatform.v1beta1.ListTensorboardsRequest + (*ListTensorboardsResponse)(nil), // 3: google.cloud.aiplatform.v1beta1.ListTensorboardsResponse + (*UpdateTensorboardRequest)(nil), // 4: google.cloud.aiplatform.v1beta1.UpdateTensorboardRequest + (*DeleteTensorboardRequest)(nil), // 5: google.cloud.aiplatform.v1beta1.DeleteTensorboardRequest + (*CreateTensorboardExperimentRequest)(nil), // 6: google.cloud.aiplatform.v1beta1.CreateTensorboardExperimentRequest + (*GetTensorboardExperimentRequest)(nil), // 7: google.cloud.aiplatform.v1beta1.GetTensorboardExperimentRequest + (*ListTensorboardExperimentsRequest)(nil), // 8: google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest + (*ListTensorboardExperimentsResponse)(nil), // 9: google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsResponse + (*UpdateTensorboardExperimentRequest)(nil), // 10: google.cloud.aiplatform.v1beta1.UpdateTensorboardExperimentRequest + (*DeleteTensorboardExperimentRequest)(nil), // 11: google.cloud.aiplatform.v1beta1.DeleteTensorboardExperimentRequest + (*BatchCreateTensorboardRunsRequest)(nil), // 12: google.cloud.aiplatform.v1beta1.BatchCreateTensorboardRunsRequest + (*BatchCreateTensorboardRunsResponse)(nil), // 13: google.cloud.aiplatform.v1beta1.BatchCreateTensorboardRunsResponse + (*CreateTensorboardRunRequest)(nil), // 14: google.cloud.aiplatform.v1beta1.CreateTensorboardRunRequest + (*GetTensorboardRunRequest)(nil), // 15: google.cloud.aiplatform.v1beta1.GetTensorboardRunRequest + (*ReadTensorboardBlobDataRequest)(nil), // 16: google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataRequest + (*ReadTensorboardBlobDataResponse)(nil), // 17: google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataResponse + (*ListTensorboardRunsRequest)(nil), // 18: google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest + (*ListTensorboardRunsResponse)(nil), // 19: google.cloud.aiplatform.v1beta1.ListTensorboardRunsResponse + (*UpdateTensorboardRunRequest)(nil), // 20: google.cloud.aiplatform.v1beta1.UpdateTensorboardRunRequest + (*DeleteTensorboardRunRequest)(nil), // 21: google.cloud.aiplatform.v1beta1.DeleteTensorboardRunRequest + (*BatchCreateTensorboardTimeSeriesRequest)(nil), // 22: google.cloud.aiplatform.v1beta1.BatchCreateTensorboardTimeSeriesRequest + (*BatchCreateTensorboardTimeSeriesResponse)(nil), // 23: google.cloud.aiplatform.v1beta1.BatchCreateTensorboardTimeSeriesResponse + (*CreateTensorboardTimeSeriesRequest)(nil), // 24: google.cloud.aiplatform.v1beta1.CreateTensorboardTimeSeriesRequest + (*GetTensorboardTimeSeriesRequest)(nil), // 25: google.cloud.aiplatform.v1beta1.GetTensorboardTimeSeriesRequest + (*ListTensorboardTimeSeriesRequest)(nil), // 26: google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest + (*ListTensorboardTimeSeriesResponse)(nil), // 27: google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesResponse + (*UpdateTensorboardTimeSeriesRequest)(nil), // 28: google.cloud.aiplatform.v1beta1.UpdateTensorboardTimeSeriesRequest + (*DeleteTensorboardTimeSeriesRequest)(nil), // 29: google.cloud.aiplatform.v1beta1.DeleteTensorboardTimeSeriesRequest + (*ReadTensorboardTimeSeriesDataRequest)(nil), // 30: google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataRequest + (*ReadTensorboardTimeSeriesDataResponse)(nil), // 31: google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataResponse + (*WriteTensorboardExperimentDataRequest)(nil), // 32: google.cloud.aiplatform.v1beta1.WriteTensorboardExperimentDataRequest + (*WriteTensorboardExperimentDataResponse)(nil), // 33: google.cloud.aiplatform.v1beta1.WriteTensorboardExperimentDataResponse + (*WriteTensorboardRunDataRequest)(nil), // 34: google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataRequest + (*WriteTensorboardRunDataResponse)(nil), // 35: google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataResponse + (*ExportTensorboardTimeSeriesDataRequest)(nil), // 36: google.cloud.aiplatform.v1beta1.ExportTensorboardTimeSeriesDataRequest + (*ExportTensorboardTimeSeriesDataResponse)(nil), // 37: google.cloud.aiplatform.v1beta1.ExportTensorboardTimeSeriesDataResponse + (*CreateTensorboardOperationMetadata)(nil), // 38: google.cloud.aiplatform.v1beta1.CreateTensorboardOperationMetadata + (*UpdateTensorboardOperationMetadata)(nil), // 39: google.cloud.aiplatform.v1beta1.UpdateTensorboardOperationMetadata + (*Tensorboard)(nil), // 40: google.cloud.aiplatform.v1beta1.Tensorboard + (*fieldmaskpb.FieldMask)(nil), // 41: google.protobuf.FieldMask + (*TensorboardExperiment)(nil), // 42: google.cloud.aiplatform.v1beta1.TensorboardExperiment + (*TensorboardRun)(nil), // 43: google.cloud.aiplatform.v1beta1.TensorboardRun + (*TensorboardBlob)(nil), // 44: google.cloud.aiplatform.v1beta1.TensorboardBlob + (*TensorboardTimeSeries)(nil), // 45: google.cloud.aiplatform.v1beta1.TensorboardTimeSeries + (*TimeSeriesData)(nil), // 46: google.cloud.aiplatform.v1beta1.TimeSeriesData + (*TimeSeriesDataPoint)(nil), // 47: google.cloud.aiplatform.v1beta1.TimeSeriesDataPoint + (*GenericOperationMetadata)(nil), // 48: google.cloud.aiplatform.v1beta1.GenericOperationMetadata + (*longrunning.Operation)(nil), // 49: google.longrunning.Operation } var file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_depIdxs = []int32{ - 34, // 0: google.cloud.aiplatform.v1beta1.CreateTensorboardRequest.tensorboard:type_name -> google.cloud.aiplatform.v1beta1.Tensorboard - 35, // 1: google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.read_mask:type_name -> google.protobuf.FieldMask - 34, // 2: google.cloud.aiplatform.v1beta1.ListTensorboardsResponse.tensorboards:type_name -> google.cloud.aiplatform.v1beta1.Tensorboard - 35, // 3: google.cloud.aiplatform.v1beta1.UpdateTensorboardRequest.update_mask:type_name -> google.protobuf.FieldMask - 34, // 4: google.cloud.aiplatform.v1beta1.UpdateTensorboardRequest.tensorboard:type_name -> google.cloud.aiplatform.v1beta1.Tensorboard - 36, // 5: google.cloud.aiplatform.v1beta1.CreateTensorboardExperimentRequest.tensorboard_experiment:type_name -> google.cloud.aiplatform.v1beta1.TensorboardExperiment - 35, // 6: google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.read_mask:type_name -> google.protobuf.FieldMask - 36, // 7: google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsResponse.tensorboard_experiments:type_name -> google.cloud.aiplatform.v1beta1.TensorboardExperiment - 35, // 8: google.cloud.aiplatform.v1beta1.UpdateTensorboardExperimentRequest.update_mask:type_name -> google.protobuf.FieldMask - 36, // 9: google.cloud.aiplatform.v1beta1.UpdateTensorboardExperimentRequest.tensorboard_experiment:type_name -> google.cloud.aiplatform.v1beta1.TensorboardExperiment - 37, // 10: google.cloud.aiplatform.v1beta1.CreateTensorboardRunRequest.tensorboard_run:type_name -> google.cloud.aiplatform.v1beta1.TensorboardRun - 38, // 11: google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataResponse.blobs:type_name -> google.cloud.aiplatform.v1beta1.TensorboardBlob - 35, // 12: google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.read_mask:type_name -> google.protobuf.FieldMask - 37, // 13: google.cloud.aiplatform.v1beta1.ListTensorboardRunsResponse.tensorboard_runs:type_name -> google.cloud.aiplatform.v1beta1.TensorboardRun - 35, // 14: google.cloud.aiplatform.v1beta1.UpdateTensorboardRunRequest.update_mask:type_name -> google.protobuf.FieldMask - 37, // 15: google.cloud.aiplatform.v1beta1.UpdateTensorboardRunRequest.tensorboard_run:type_name -> google.cloud.aiplatform.v1beta1.TensorboardRun - 39, // 16: google.cloud.aiplatform.v1beta1.CreateTensorboardTimeSeriesRequest.tensorboard_time_series:type_name -> google.cloud.aiplatform.v1beta1.TensorboardTimeSeries - 35, // 17: google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.read_mask:type_name -> google.protobuf.FieldMask - 39, // 18: google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesResponse.tensorboard_time_series:type_name -> google.cloud.aiplatform.v1beta1.TensorboardTimeSeries - 35, // 19: google.cloud.aiplatform.v1beta1.UpdateTensorboardTimeSeriesRequest.update_mask:type_name -> google.protobuf.FieldMask - 39, // 20: google.cloud.aiplatform.v1beta1.UpdateTensorboardTimeSeriesRequest.tensorboard_time_series:type_name -> google.cloud.aiplatform.v1beta1.TensorboardTimeSeries - 40, // 21: google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataResponse.time_series_data:type_name -> google.cloud.aiplatform.v1beta1.TimeSeriesData - 40, // 22: google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataRequest.time_series_data:type_name -> google.cloud.aiplatform.v1beta1.TimeSeriesData - 41, // 23: google.cloud.aiplatform.v1beta1.ExportTensorboardTimeSeriesDataResponse.time_series_data_points:type_name -> google.cloud.aiplatform.v1beta1.TimeSeriesDataPoint - 42, // 24: google.cloud.aiplatform.v1beta1.CreateTensorboardOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata - 42, // 25: google.cloud.aiplatform.v1beta1.UpdateTensorboardOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata - 0, // 26: google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboard:input_type -> google.cloud.aiplatform.v1beta1.CreateTensorboardRequest - 1, // 27: google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboard:input_type -> google.cloud.aiplatform.v1beta1.GetTensorboardRequest - 4, // 28: google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboard:input_type -> google.cloud.aiplatform.v1beta1.UpdateTensorboardRequest - 2, // 29: google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards:input_type -> google.cloud.aiplatform.v1beta1.ListTensorboardsRequest - 5, // 30: google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboard:input_type -> google.cloud.aiplatform.v1beta1.DeleteTensorboardRequest - 6, // 31: google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardExperiment:input_type -> google.cloud.aiplatform.v1beta1.CreateTensorboardExperimentRequest - 7, // 32: google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardExperiment:input_type -> google.cloud.aiplatform.v1beta1.GetTensorboardExperimentRequest - 10, // 33: google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardExperiment:input_type -> google.cloud.aiplatform.v1beta1.UpdateTensorboardExperimentRequest - 8, // 34: google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments:input_type -> google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest - 11, // 35: google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardExperiment:input_type -> google.cloud.aiplatform.v1beta1.DeleteTensorboardExperimentRequest - 12, // 36: google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardRun:input_type -> google.cloud.aiplatform.v1beta1.CreateTensorboardRunRequest - 13, // 37: google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardRun:input_type -> google.cloud.aiplatform.v1beta1.GetTensorboardRunRequest - 18, // 38: google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardRun:input_type -> google.cloud.aiplatform.v1beta1.UpdateTensorboardRunRequest - 16, // 39: google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns:input_type -> google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest - 19, // 40: google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardRun:input_type -> google.cloud.aiplatform.v1beta1.DeleteTensorboardRunRequest - 20, // 41: google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardTimeSeries:input_type -> google.cloud.aiplatform.v1beta1.CreateTensorboardTimeSeriesRequest - 21, // 42: google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardTimeSeries:input_type -> google.cloud.aiplatform.v1beta1.GetTensorboardTimeSeriesRequest - 24, // 43: google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardTimeSeries:input_type -> google.cloud.aiplatform.v1beta1.UpdateTensorboardTimeSeriesRequest - 22, // 44: google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries:input_type -> google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest - 25, // 45: google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardTimeSeries:input_type -> google.cloud.aiplatform.v1beta1.DeleteTensorboardTimeSeriesRequest - 26, // 46: google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData:input_type -> google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataRequest - 14, // 47: google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData:input_type -> google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataRequest - 28, // 48: google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData:input_type -> google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataRequest - 30, // 49: google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData:input_type -> google.cloud.aiplatform.v1beta1.ExportTensorboardTimeSeriesDataRequest - 43, // 50: google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboard:output_type -> google.longrunning.Operation - 34, // 51: google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboard:output_type -> google.cloud.aiplatform.v1beta1.Tensorboard - 43, // 52: google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboard:output_type -> google.longrunning.Operation - 3, // 53: google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards:output_type -> google.cloud.aiplatform.v1beta1.ListTensorboardsResponse - 43, // 54: google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboard:output_type -> google.longrunning.Operation - 36, // 55: google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardExperiment:output_type -> google.cloud.aiplatform.v1beta1.TensorboardExperiment - 36, // 56: google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardExperiment:output_type -> google.cloud.aiplatform.v1beta1.TensorboardExperiment - 36, // 57: google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardExperiment:output_type -> google.cloud.aiplatform.v1beta1.TensorboardExperiment - 9, // 58: google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments:output_type -> google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsResponse - 43, // 59: google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardExperiment:output_type -> google.longrunning.Operation - 37, // 60: google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardRun:output_type -> google.cloud.aiplatform.v1beta1.TensorboardRun - 37, // 61: google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardRun:output_type -> google.cloud.aiplatform.v1beta1.TensorboardRun - 37, // 62: google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardRun:output_type -> google.cloud.aiplatform.v1beta1.TensorboardRun - 17, // 63: google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns:output_type -> google.cloud.aiplatform.v1beta1.ListTensorboardRunsResponse - 43, // 64: google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardRun:output_type -> google.longrunning.Operation - 39, // 65: google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardTimeSeries:output_type -> google.cloud.aiplatform.v1beta1.TensorboardTimeSeries - 39, // 66: google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardTimeSeries:output_type -> google.cloud.aiplatform.v1beta1.TensorboardTimeSeries - 39, // 67: google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardTimeSeries:output_type -> google.cloud.aiplatform.v1beta1.TensorboardTimeSeries - 23, // 68: google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries:output_type -> google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesResponse - 43, // 69: google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardTimeSeries:output_type -> google.longrunning.Operation - 27, // 70: google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData:output_type -> google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataResponse - 15, // 71: google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData:output_type -> google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataResponse - 29, // 72: google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData:output_type -> google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataResponse - 31, // 73: google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData:output_type -> google.cloud.aiplatform.v1beta1.ExportTensorboardTimeSeriesDataResponse - 50, // [50:74] is the sub-list for method output_type - 26, // [26:50] is the sub-list for method input_type - 26, // [26:26] is the sub-list for extension type_name - 26, // [26:26] is the sub-list for extension extendee - 0, // [0:26] is the sub-list for field type_name + 40, // 0: google.cloud.aiplatform.v1beta1.CreateTensorboardRequest.tensorboard:type_name -> google.cloud.aiplatform.v1beta1.Tensorboard + 41, // 1: google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.read_mask:type_name -> google.protobuf.FieldMask + 40, // 2: google.cloud.aiplatform.v1beta1.ListTensorboardsResponse.tensorboards:type_name -> google.cloud.aiplatform.v1beta1.Tensorboard + 41, // 3: google.cloud.aiplatform.v1beta1.UpdateTensorboardRequest.update_mask:type_name -> google.protobuf.FieldMask + 40, // 4: google.cloud.aiplatform.v1beta1.UpdateTensorboardRequest.tensorboard:type_name -> google.cloud.aiplatform.v1beta1.Tensorboard + 42, // 5: google.cloud.aiplatform.v1beta1.CreateTensorboardExperimentRequest.tensorboard_experiment:type_name -> google.cloud.aiplatform.v1beta1.TensorboardExperiment + 41, // 6: google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.read_mask:type_name -> google.protobuf.FieldMask + 42, // 7: google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsResponse.tensorboard_experiments:type_name -> google.cloud.aiplatform.v1beta1.TensorboardExperiment + 41, // 8: google.cloud.aiplatform.v1beta1.UpdateTensorboardExperimentRequest.update_mask:type_name -> google.protobuf.FieldMask + 42, // 9: google.cloud.aiplatform.v1beta1.UpdateTensorboardExperimentRequest.tensorboard_experiment:type_name -> google.cloud.aiplatform.v1beta1.TensorboardExperiment + 14, // 10: google.cloud.aiplatform.v1beta1.BatchCreateTensorboardRunsRequest.requests:type_name -> google.cloud.aiplatform.v1beta1.CreateTensorboardRunRequest + 43, // 11: google.cloud.aiplatform.v1beta1.BatchCreateTensorboardRunsResponse.tensorboard_runs:type_name -> google.cloud.aiplatform.v1beta1.TensorboardRun + 43, // 12: google.cloud.aiplatform.v1beta1.CreateTensorboardRunRequest.tensorboard_run:type_name -> google.cloud.aiplatform.v1beta1.TensorboardRun + 44, // 13: google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataResponse.blobs:type_name -> google.cloud.aiplatform.v1beta1.TensorboardBlob + 41, // 14: google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.read_mask:type_name -> google.protobuf.FieldMask + 43, // 15: google.cloud.aiplatform.v1beta1.ListTensorboardRunsResponse.tensorboard_runs:type_name -> google.cloud.aiplatform.v1beta1.TensorboardRun + 41, // 16: google.cloud.aiplatform.v1beta1.UpdateTensorboardRunRequest.update_mask:type_name -> google.protobuf.FieldMask + 43, // 17: google.cloud.aiplatform.v1beta1.UpdateTensorboardRunRequest.tensorboard_run:type_name -> google.cloud.aiplatform.v1beta1.TensorboardRun + 24, // 18: google.cloud.aiplatform.v1beta1.BatchCreateTensorboardTimeSeriesRequest.requests:type_name -> google.cloud.aiplatform.v1beta1.CreateTensorboardTimeSeriesRequest + 45, // 19: google.cloud.aiplatform.v1beta1.BatchCreateTensorboardTimeSeriesResponse.tensorboard_time_series:type_name -> google.cloud.aiplatform.v1beta1.TensorboardTimeSeries + 45, // 20: google.cloud.aiplatform.v1beta1.CreateTensorboardTimeSeriesRequest.tensorboard_time_series:type_name -> google.cloud.aiplatform.v1beta1.TensorboardTimeSeries + 41, // 21: google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.read_mask:type_name -> google.protobuf.FieldMask + 45, // 22: google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesResponse.tensorboard_time_series:type_name -> google.cloud.aiplatform.v1beta1.TensorboardTimeSeries + 41, // 23: google.cloud.aiplatform.v1beta1.UpdateTensorboardTimeSeriesRequest.update_mask:type_name -> google.protobuf.FieldMask + 45, // 24: google.cloud.aiplatform.v1beta1.UpdateTensorboardTimeSeriesRequest.tensorboard_time_series:type_name -> google.cloud.aiplatform.v1beta1.TensorboardTimeSeries + 46, // 25: google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataResponse.time_series_data:type_name -> google.cloud.aiplatform.v1beta1.TimeSeriesData + 34, // 26: google.cloud.aiplatform.v1beta1.WriteTensorboardExperimentDataRequest.write_run_data_requests:type_name -> google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataRequest + 46, // 27: google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataRequest.time_series_data:type_name -> google.cloud.aiplatform.v1beta1.TimeSeriesData + 47, // 28: google.cloud.aiplatform.v1beta1.ExportTensorboardTimeSeriesDataResponse.time_series_data_points:type_name -> google.cloud.aiplatform.v1beta1.TimeSeriesDataPoint + 48, // 29: google.cloud.aiplatform.v1beta1.CreateTensorboardOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata + 48, // 30: google.cloud.aiplatform.v1beta1.UpdateTensorboardOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata + 0, // 31: google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboard:input_type -> google.cloud.aiplatform.v1beta1.CreateTensorboardRequest + 1, // 32: google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboard:input_type -> google.cloud.aiplatform.v1beta1.GetTensorboardRequest + 4, // 33: google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboard:input_type -> google.cloud.aiplatform.v1beta1.UpdateTensorboardRequest + 2, // 34: google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards:input_type -> google.cloud.aiplatform.v1beta1.ListTensorboardsRequest + 5, // 35: google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboard:input_type -> google.cloud.aiplatform.v1beta1.DeleteTensorboardRequest + 6, // 36: google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardExperiment:input_type -> google.cloud.aiplatform.v1beta1.CreateTensorboardExperimentRequest + 7, // 37: google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardExperiment:input_type -> google.cloud.aiplatform.v1beta1.GetTensorboardExperimentRequest + 10, // 38: google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardExperiment:input_type -> google.cloud.aiplatform.v1beta1.UpdateTensorboardExperimentRequest + 8, // 39: google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments:input_type -> google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest + 11, // 40: google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardExperiment:input_type -> google.cloud.aiplatform.v1beta1.DeleteTensorboardExperimentRequest + 14, // 41: google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardRun:input_type -> google.cloud.aiplatform.v1beta1.CreateTensorboardRunRequest + 12, // 42: google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardRuns:input_type -> google.cloud.aiplatform.v1beta1.BatchCreateTensorboardRunsRequest + 15, // 43: google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardRun:input_type -> google.cloud.aiplatform.v1beta1.GetTensorboardRunRequest + 20, // 44: google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardRun:input_type -> google.cloud.aiplatform.v1beta1.UpdateTensorboardRunRequest + 18, // 45: google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns:input_type -> google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest + 21, // 46: google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardRun:input_type -> google.cloud.aiplatform.v1beta1.DeleteTensorboardRunRequest + 22, // 47: google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardTimeSeries:input_type -> google.cloud.aiplatform.v1beta1.BatchCreateTensorboardTimeSeriesRequest + 24, // 48: google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardTimeSeries:input_type -> google.cloud.aiplatform.v1beta1.CreateTensorboardTimeSeriesRequest + 25, // 49: google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardTimeSeries:input_type -> google.cloud.aiplatform.v1beta1.GetTensorboardTimeSeriesRequest + 28, // 50: google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardTimeSeries:input_type -> google.cloud.aiplatform.v1beta1.UpdateTensorboardTimeSeriesRequest + 26, // 51: google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries:input_type -> google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest + 29, // 52: google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardTimeSeries:input_type -> google.cloud.aiplatform.v1beta1.DeleteTensorboardTimeSeriesRequest + 30, // 53: google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData:input_type -> google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataRequest + 16, // 54: google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData:input_type -> google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataRequest + 32, // 55: google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardExperimentData:input_type -> google.cloud.aiplatform.v1beta1.WriteTensorboardExperimentDataRequest + 34, // 56: google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData:input_type -> google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataRequest + 36, // 57: google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData:input_type -> google.cloud.aiplatform.v1beta1.ExportTensorboardTimeSeriesDataRequest + 49, // 58: google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboard:output_type -> google.longrunning.Operation + 40, // 59: google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboard:output_type -> google.cloud.aiplatform.v1beta1.Tensorboard + 49, // 60: google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboard:output_type -> google.longrunning.Operation + 3, // 61: google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards:output_type -> google.cloud.aiplatform.v1beta1.ListTensorboardsResponse + 49, // 62: google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboard:output_type -> google.longrunning.Operation + 42, // 63: google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardExperiment:output_type -> google.cloud.aiplatform.v1beta1.TensorboardExperiment + 42, // 64: google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardExperiment:output_type -> google.cloud.aiplatform.v1beta1.TensorboardExperiment + 42, // 65: google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardExperiment:output_type -> google.cloud.aiplatform.v1beta1.TensorboardExperiment + 9, // 66: google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments:output_type -> google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsResponse + 49, // 67: google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardExperiment:output_type -> google.longrunning.Operation + 43, // 68: google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardRun:output_type -> google.cloud.aiplatform.v1beta1.TensorboardRun + 13, // 69: google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardRuns:output_type -> google.cloud.aiplatform.v1beta1.BatchCreateTensorboardRunsResponse + 43, // 70: google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardRun:output_type -> google.cloud.aiplatform.v1beta1.TensorboardRun + 43, // 71: google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardRun:output_type -> google.cloud.aiplatform.v1beta1.TensorboardRun + 19, // 72: google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns:output_type -> google.cloud.aiplatform.v1beta1.ListTensorboardRunsResponse + 49, // 73: google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardRun:output_type -> google.longrunning.Operation + 23, // 74: google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardTimeSeries:output_type -> google.cloud.aiplatform.v1beta1.BatchCreateTensorboardTimeSeriesResponse + 45, // 75: google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardTimeSeries:output_type -> google.cloud.aiplatform.v1beta1.TensorboardTimeSeries + 45, // 76: google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardTimeSeries:output_type -> google.cloud.aiplatform.v1beta1.TensorboardTimeSeries + 45, // 77: google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardTimeSeries:output_type -> google.cloud.aiplatform.v1beta1.TensorboardTimeSeries + 27, // 78: google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries:output_type -> google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesResponse + 49, // 79: google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardTimeSeries:output_type -> google.longrunning.Operation + 31, // 80: google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData:output_type -> google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataResponse + 17, // 81: google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData:output_type -> google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataResponse + 33, // 82: google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardExperimentData:output_type -> google.cloud.aiplatform.v1beta1.WriteTensorboardExperimentDataResponse + 35, // 83: google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData:output_type -> google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataResponse + 37, // 84: google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData:output_type -> google.cloud.aiplatform.v1beta1.ExportTensorboardTimeSeriesDataResponse + 58, // [58:85] is the sub-list for method output_type + 31, // [31:58] is the sub-list for method input_type + 31, // [31:31] is the sub-list for extension type_name + 31, // [31:31] is the sub-list for extension extendee + 0, // [0:31] is the sub-list for field type_name } func init() { file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() } @@ -3397,7 +3863,7 @@ func file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[12].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*CreateTensorboardRunRequest); i { + switch v := v.(*BatchCreateTensorboardRunsRequest); i { case 0: return &v.state case 1: @@ -3409,7 +3875,7 @@ func file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[13].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*GetTensorboardRunRequest); i { + switch v := v.(*BatchCreateTensorboardRunsResponse); i { case 0: return &v.state case 1: @@ -3421,7 +3887,7 @@ func file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[14].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*ReadTensorboardBlobDataRequest); i { + switch v := v.(*CreateTensorboardRunRequest); i { case 0: return &v.state case 1: @@ -3433,7 +3899,7 @@ func file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[15].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*ReadTensorboardBlobDataResponse); i { + switch v := v.(*GetTensorboardRunRequest); i { case 0: return &v.state case 1: @@ -3445,7 +3911,7 @@ func file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[16].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*ListTensorboardRunsRequest); i { + switch v := v.(*ReadTensorboardBlobDataRequest); i { case 0: return &v.state case 1: @@ -3457,7 +3923,7 @@ func file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[17].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*ListTensorboardRunsResponse); i { + switch v := v.(*ReadTensorboardBlobDataResponse); i { case 0: return &v.state case 1: @@ -3469,7 +3935,7 @@ func file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[18].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*UpdateTensorboardRunRequest); i { + switch v := v.(*ListTensorboardRunsRequest); i { case 0: return &v.state case 1: @@ -3481,7 +3947,7 @@ func file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[19].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*DeleteTensorboardRunRequest); i { + switch v := v.(*ListTensorboardRunsResponse); i { case 0: return &v.state case 1: @@ -3493,7 +3959,7 @@ func file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[20].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*CreateTensorboardTimeSeriesRequest); i { + switch v := v.(*UpdateTensorboardRunRequest); i { case 0: return &v.state case 1: @@ -3505,7 +3971,7 @@ func file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[21].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*GetTensorboardTimeSeriesRequest); i { + switch v := v.(*DeleteTensorboardRunRequest); i { case 0: return &v.state case 1: @@ -3517,7 +3983,7 @@ func file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[22].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*ListTensorboardTimeSeriesRequest); i { + switch v := v.(*BatchCreateTensorboardTimeSeriesRequest); i { case 0: return &v.state case 1: @@ -3529,7 +3995,7 @@ func file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[23].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*ListTensorboardTimeSeriesResponse); i { + switch v := v.(*BatchCreateTensorboardTimeSeriesResponse); i { case 0: return &v.state case 1: @@ -3541,7 +4007,7 @@ func file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[24].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*UpdateTensorboardTimeSeriesRequest); i { + switch v := v.(*CreateTensorboardTimeSeriesRequest); i { case 0: return &v.state case 1: @@ -3553,7 +4019,7 @@ func file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[25].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*DeleteTensorboardTimeSeriesRequest); i { + switch v := v.(*GetTensorboardTimeSeriesRequest); i { case 0: return &v.state case 1: @@ -3565,7 +4031,7 @@ func file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[26].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*ReadTensorboardTimeSeriesDataRequest); i { + switch v := v.(*ListTensorboardTimeSeriesRequest); i { case 0: return &v.state case 1: @@ -3577,7 +4043,7 @@ func file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[27].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*ReadTensorboardTimeSeriesDataResponse); i { + switch v := v.(*ListTensorboardTimeSeriesResponse); i { case 0: return &v.state case 1: @@ -3589,7 +4055,7 @@ func file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[28].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*WriteTensorboardRunDataRequest); i { + switch v := v.(*UpdateTensorboardTimeSeriesRequest); i { case 0: return &v.state case 1: @@ -3601,7 +4067,7 @@ func file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[29].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*WriteTensorboardRunDataResponse); i { + switch v := v.(*DeleteTensorboardTimeSeriesRequest); i { case 0: return &v.state case 1: @@ -3613,7 +4079,7 @@ func file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[30].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*ExportTensorboardTimeSeriesDataRequest); i { + switch v := v.(*ReadTensorboardTimeSeriesDataRequest); i { case 0: return &v.state case 1: @@ -3625,7 +4091,7 @@ func file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[31].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*ExportTensorboardTimeSeriesDataResponse); i { + switch v := v.(*ReadTensorboardTimeSeriesDataResponse); i { case 0: return &v.state case 1: @@ -3637,7 +4103,7 @@ func file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[32].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*CreateTensorboardOperationMetadata); i { + switch v := v.(*WriteTensorboardExperimentDataRequest); i { case 0: return &v.state case 1: @@ -3649,6 +4115,78 @@ func file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[33].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*WriteTensorboardExperimentDataResponse); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[34].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*WriteTensorboardRunDataRequest); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[35].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*WriteTensorboardRunDataResponse); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[36].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*ExportTensorboardTimeSeriesDataRequest); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[37].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*ExportTensorboardTimeSeriesDataResponse); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[38].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*CreateTensorboardOperationMetadata); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[39].Exporter = func(v interface{}, i int) interface{} { switch v := v.(*UpdateTensorboardOperationMetadata); i { case 0: return &v.state @@ -3667,7 +4205,7 @@ func file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() { GoPackagePath: reflect.TypeOf(x{}).PkgPath(), RawDescriptor: file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDesc, NumEnums: 0, - NumMessages: 34, + NumMessages: 40, NumExtensions: 0, NumServices: 1, }, @@ -3715,6 +4253,8 @@ type TensorboardServiceClient interface { DeleteTensorboardExperiment(ctx context.Context, in *DeleteTensorboardExperimentRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) // Creates a TensorboardRun. CreateTensorboardRun(ctx context.Context, in *CreateTensorboardRunRequest, opts ...grpc.CallOption) (*TensorboardRun, error) + // Batch create TensorboardRuns. + BatchCreateTensorboardRuns(ctx context.Context, in *BatchCreateTensorboardRunsRequest, opts ...grpc.CallOption) (*BatchCreateTensorboardRunsResponse, error) // Gets a TensorboardRun. GetTensorboardRun(ctx context.Context, in *GetTensorboardRunRequest, opts ...grpc.CallOption) (*TensorboardRun, error) // Updates a TensorboardRun. @@ -3723,6 +4263,8 @@ type TensorboardServiceClient interface { ListTensorboardRuns(ctx context.Context, in *ListTensorboardRunsRequest, opts ...grpc.CallOption) (*ListTensorboardRunsResponse, error) // Deletes a TensorboardRun. DeleteTensorboardRun(ctx context.Context, in *DeleteTensorboardRunRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) + // Batch create TensorboardTimeSeries that belong to a TensorboardExperiment. + BatchCreateTensorboardTimeSeries(ctx context.Context, in *BatchCreateTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*BatchCreateTensorboardTimeSeriesResponse, error) // Creates a TensorboardTimeSeries. CreateTensorboardTimeSeries(ctx context.Context, in *CreateTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*TensorboardTimeSeries, error) // Gets a TensorboardTimeSeries. @@ -3744,6 +4286,10 @@ type TensorboardServiceClient interface { // Storage bucket without users having to obtain Cloud Storage access // permission. ReadTensorboardBlobData(ctx context.Context, in *ReadTensorboardBlobDataRequest, opts ...grpc.CallOption) (TensorboardService_ReadTensorboardBlobDataClient, error) + // Write time series data points of multiple TensorboardTimeSeries in multiple + // TensorboardRun's. If any data fail to be ingested, an error will be + // returned. + WriteTensorboardExperimentData(ctx context.Context, in *WriteTensorboardExperimentDataRequest, opts ...grpc.CallOption) (*WriteTensorboardExperimentDataResponse, error) // Write time series data points into multiple TensorboardTimeSeries under // a TensorboardRun. If any data fail to be ingested, an error will be // returned. @@ -3860,6 +4406,15 @@ func (c *tensorboardServiceClient) CreateTensorboardRun(ctx context.Context, in return out, nil } +func (c *tensorboardServiceClient) BatchCreateTensorboardRuns(ctx context.Context, in *BatchCreateTensorboardRunsRequest, opts ...grpc.CallOption) (*BatchCreateTensorboardRunsResponse, error) { + out := new(BatchCreateTensorboardRunsResponse) + err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/BatchCreateTensorboardRuns", in, out, opts...) + if err != nil { + return nil, err + } + return out, nil +} + func (c *tensorboardServiceClient) GetTensorboardRun(ctx context.Context, in *GetTensorboardRunRequest, opts ...grpc.CallOption) (*TensorboardRun, error) { out := new(TensorboardRun) err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/GetTensorboardRun", in, out, opts...) @@ -3896,6 +4451,15 @@ func (c *tensorboardServiceClient) DeleteTensorboardRun(ctx context.Context, in return out, nil } +func (c *tensorboardServiceClient) BatchCreateTensorboardTimeSeries(ctx context.Context, in *BatchCreateTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*BatchCreateTensorboardTimeSeriesResponse, error) { + out := new(BatchCreateTensorboardTimeSeriesResponse) + err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/BatchCreateTensorboardTimeSeries", in, out, opts...) + if err != nil { + return nil, err + } + return out, nil +} + func (c *tensorboardServiceClient) CreateTensorboardTimeSeries(ctx context.Context, in *CreateTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*TensorboardTimeSeries, error) { out := new(TensorboardTimeSeries) err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/CreateTensorboardTimeSeries", in, out, opts...) @@ -3982,6 +4546,15 @@ func (x *tensorboardServiceReadTensorboardBlobDataClient) Recv() (*ReadTensorboa return m, nil } +func (c *tensorboardServiceClient) WriteTensorboardExperimentData(ctx context.Context, in *WriteTensorboardExperimentDataRequest, opts ...grpc.CallOption) (*WriteTensorboardExperimentDataResponse, error) { + out := new(WriteTensorboardExperimentDataResponse) + err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/WriteTensorboardExperimentData", in, out, opts...) + if err != nil { + return nil, err + } + return out, nil +} + func (c *tensorboardServiceClient) WriteTensorboardRunData(ctx context.Context, in *WriteTensorboardRunDataRequest, opts ...grpc.CallOption) (*WriteTensorboardRunDataResponse, error) { out := new(WriteTensorboardRunDataResponse) err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/WriteTensorboardRunData", in, out, opts...) @@ -4024,6 +4597,8 @@ type TensorboardServiceServer interface { DeleteTensorboardExperiment(context.Context, *DeleteTensorboardExperimentRequest) (*longrunning.Operation, error) // Creates a TensorboardRun. CreateTensorboardRun(context.Context, *CreateTensorboardRunRequest) (*TensorboardRun, error) + // Batch create TensorboardRuns. + BatchCreateTensorboardRuns(context.Context, *BatchCreateTensorboardRunsRequest) (*BatchCreateTensorboardRunsResponse, error) // Gets a TensorboardRun. GetTensorboardRun(context.Context, *GetTensorboardRunRequest) (*TensorboardRun, error) // Updates a TensorboardRun. @@ -4032,6 +4607,8 @@ type TensorboardServiceServer interface { ListTensorboardRuns(context.Context, *ListTensorboardRunsRequest) (*ListTensorboardRunsResponse, error) // Deletes a TensorboardRun. DeleteTensorboardRun(context.Context, *DeleteTensorboardRunRequest) (*longrunning.Operation, error) + // Batch create TensorboardTimeSeries that belong to a TensorboardExperiment. + BatchCreateTensorboardTimeSeries(context.Context, *BatchCreateTensorboardTimeSeriesRequest) (*BatchCreateTensorboardTimeSeriesResponse, error) // Creates a TensorboardTimeSeries. CreateTensorboardTimeSeries(context.Context, *CreateTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error) // Gets a TensorboardTimeSeries. @@ -4053,6 +4630,10 @@ type TensorboardServiceServer interface { // Storage bucket without users having to obtain Cloud Storage access // permission. ReadTensorboardBlobData(*ReadTensorboardBlobDataRequest, TensorboardService_ReadTensorboardBlobDataServer) error + // Write time series data points of multiple TensorboardTimeSeries in multiple + // TensorboardRun's. If any data fail to be ingested, an error will be + // returned. + WriteTensorboardExperimentData(context.Context, *WriteTensorboardExperimentDataRequest) (*WriteTensorboardExperimentDataResponse, error) // Write time series data points into multiple TensorboardTimeSeries under // a TensorboardRun. If any data fail to be ingested, an error will be // returned. @@ -4099,6 +4680,9 @@ func (*UnimplementedTensorboardServiceServer) DeleteTensorboardExperiment(contex func (*UnimplementedTensorboardServiceServer) CreateTensorboardRun(context.Context, *CreateTensorboardRunRequest) (*TensorboardRun, error) { return nil, status.Errorf(codes.Unimplemented, "method CreateTensorboardRun not implemented") } +func (*UnimplementedTensorboardServiceServer) BatchCreateTensorboardRuns(context.Context, *BatchCreateTensorboardRunsRequest) (*BatchCreateTensorboardRunsResponse, error) { + return nil, status.Errorf(codes.Unimplemented, "method BatchCreateTensorboardRuns not implemented") +} func (*UnimplementedTensorboardServiceServer) GetTensorboardRun(context.Context, *GetTensorboardRunRequest) (*TensorboardRun, error) { return nil, status.Errorf(codes.Unimplemented, "method GetTensorboardRun not implemented") } @@ -4111,6 +4695,9 @@ func (*UnimplementedTensorboardServiceServer) ListTensorboardRuns(context.Contex func (*UnimplementedTensorboardServiceServer) DeleteTensorboardRun(context.Context, *DeleteTensorboardRunRequest) (*longrunning.Operation, error) { return nil, status.Errorf(codes.Unimplemented, "method DeleteTensorboardRun not implemented") } +func (*UnimplementedTensorboardServiceServer) BatchCreateTensorboardTimeSeries(context.Context, *BatchCreateTensorboardTimeSeriesRequest) (*BatchCreateTensorboardTimeSeriesResponse, error) { + return nil, status.Errorf(codes.Unimplemented, "method BatchCreateTensorboardTimeSeries not implemented") +} func (*UnimplementedTensorboardServiceServer) CreateTensorboardTimeSeries(context.Context, *CreateTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error) { return nil, status.Errorf(codes.Unimplemented, "method CreateTensorboardTimeSeries not implemented") } @@ -4132,6 +4719,9 @@ func (*UnimplementedTensorboardServiceServer) ReadTensorboardTimeSeriesData(cont func (*UnimplementedTensorboardServiceServer) ReadTensorboardBlobData(*ReadTensorboardBlobDataRequest, TensorboardService_ReadTensorboardBlobDataServer) error { return status.Errorf(codes.Unimplemented, "method ReadTensorboardBlobData not implemented") } +func (*UnimplementedTensorboardServiceServer) WriteTensorboardExperimentData(context.Context, *WriteTensorboardExperimentDataRequest) (*WriteTensorboardExperimentDataResponse, error) { + return nil, status.Errorf(codes.Unimplemented, "method WriteTensorboardExperimentData not implemented") +} func (*UnimplementedTensorboardServiceServer) WriteTensorboardRunData(context.Context, *WriteTensorboardRunDataRequest) (*WriteTensorboardRunDataResponse, error) { return nil, status.Errorf(codes.Unimplemented, "method WriteTensorboardRunData not implemented") } @@ -4341,6 +4931,24 @@ func _TensorboardService_CreateTensorboardRun_Handler(srv interface{}, ctx conte return interceptor(ctx, in, info, handler) } +func _TensorboardService_BatchCreateTensorboardRuns_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { + in := new(BatchCreateTensorboardRunsRequest) + if err := dec(in); err != nil { + return nil, err + } + if interceptor == nil { + return srv.(TensorboardServiceServer).BatchCreateTensorboardRuns(ctx, in) + } + info := &grpc.UnaryServerInfo{ + Server: srv, + FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/BatchCreateTensorboardRuns", + } + handler := func(ctx context.Context, req interface{}) (interface{}, error) { + return srv.(TensorboardServiceServer).BatchCreateTensorboardRuns(ctx, req.(*BatchCreateTensorboardRunsRequest)) + } + return interceptor(ctx, in, info, handler) +} + func _TensorboardService_GetTensorboardRun_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { in := new(GetTensorboardRunRequest) if err := dec(in); err != nil { @@ -4413,6 +5021,24 @@ func _TensorboardService_DeleteTensorboardRun_Handler(srv interface{}, ctx conte return interceptor(ctx, in, info, handler) } +func _TensorboardService_BatchCreateTensorboardTimeSeries_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { + in := new(BatchCreateTensorboardTimeSeriesRequest) + if err := dec(in); err != nil { + return nil, err + } + if interceptor == nil { + return srv.(TensorboardServiceServer).BatchCreateTensorboardTimeSeries(ctx, in) + } + info := &grpc.UnaryServerInfo{ + Server: srv, + FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/BatchCreateTensorboardTimeSeries", + } + handler := func(ctx context.Context, req interface{}) (interface{}, error) { + return srv.(TensorboardServiceServer).BatchCreateTensorboardTimeSeries(ctx, req.(*BatchCreateTensorboardTimeSeriesRequest)) + } + return interceptor(ctx, in, info, handler) +} + func _TensorboardService_CreateTensorboardTimeSeries_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { in := new(CreateTensorboardTimeSeriesRequest) if err := dec(in); err != nil { @@ -4542,6 +5168,24 @@ func (x *tensorboardServiceReadTensorboardBlobDataServer) Send(m *ReadTensorboar return x.ServerStream.SendMsg(m) } +func _TensorboardService_WriteTensorboardExperimentData_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { + in := new(WriteTensorboardExperimentDataRequest) + if err := dec(in); err != nil { + return nil, err + } + if interceptor == nil { + return srv.(TensorboardServiceServer).WriteTensorboardExperimentData(ctx, in) + } + info := &grpc.UnaryServerInfo{ + Server: srv, + FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/WriteTensorboardExperimentData", + } + handler := func(ctx context.Context, req interface{}) (interface{}, error) { + return srv.(TensorboardServiceServer).WriteTensorboardExperimentData(ctx, req.(*WriteTensorboardExperimentDataRequest)) + } + return interceptor(ctx, in, info, handler) +} + func _TensorboardService_WriteTensorboardRunData_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { in := new(WriteTensorboardRunDataRequest) if err := dec(in); err != nil { @@ -4626,6 +5270,10 @@ var _TensorboardService_serviceDesc = grpc.ServiceDesc{ MethodName: "CreateTensorboardRun", Handler: _TensorboardService_CreateTensorboardRun_Handler, }, + { + MethodName: "BatchCreateTensorboardRuns", + Handler: _TensorboardService_BatchCreateTensorboardRuns_Handler, + }, { MethodName: "GetTensorboardRun", Handler: _TensorboardService_GetTensorboardRun_Handler, @@ -4642,6 +5290,10 @@ var _TensorboardService_serviceDesc = grpc.ServiceDesc{ MethodName: "DeleteTensorboardRun", Handler: _TensorboardService_DeleteTensorboardRun_Handler, }, + { + MethodName: "BatchCreateTensorboardTimeSeries", + Handler: _TensorboardService_BatchCreateTensorboardTimeSeries_Handler, + }, { MethodName: "CreateTensorboardTimeSeries", Handler: _TensorboardService_CreateTensorboardTimeSeries_Handler, @@ -4666,6 +5318,10 @@ var _TensorboardService_serviceDesc = grpc.ServiceDesc{ MethodName: "ReadTensorboardTimeSeriesData", Handler: _TensorboardService_ReadTensorboardTimeSeriesData_Handler, }, + { + MethodName: "WriteTensorboardExperimentData", + Handler: _TensorboardService_WriteTensorboardExperimentData_Handler, + }, { MethodName: "WriteTensorboardRunData", Handler: _TensorboardService_WriteTensorboardRunData_Handler, diff --git a/googleapis/cloud/dialogflow/cx/v3beta1/agent.pb.go b/googleapis/cloud/dialogflow/cx/v3beta1/agent.pb.go index 274571704..eab5a7a04 100644 --- a/googleapis/cloud/dialogflow/cx/v3beta1/agent.pb.go +++ b/googleapis/cloud/dialogflow/cx/v3beta1/agent.pb.go @@ -1790,6 +1790,13 @@ type AgentsClient interface { // Deletes the specified agent. DeleteAgent(ctx context.Context, in *DeleteAgentRequest, opts ...grpc.CallOption) (*emptypb.Empty, error) // Exports the specified agent to a binary file. + // This method is a [long-running + // operation](https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation). + // The returned `Operation` type has the following method-specific fields: + // + // - `metadata`: An empty [Struct + // message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct) + // - `response`: [ExportAgentResponse][google.cloud.dialogflow.cx.v3beta1.ExportAgentResponse] ExportAgent(ctx context.Context, in *ExportAgentRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) // Restores the specified agent from a binary file. // @@ -1919,6 +1926,13 @@ type AgentsServer interface { // Deletes the specified agent. DeleteAgent(context.Context, *DeleteAgentRequest) (*emptypb.Empty, error) // Exports the specified agent to a binary file. + // This method is a [long-running + // operation](https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation). + // The returned `Operation` type has the following method-specific fields: + // + // - `metadata`: An empty [Struct + // message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct) + // - `response`: [ExportAgentResponse][google.cloud.dialogflow.cx.v3beta1.ExportAgentResponse] ExportAgent(context.Context, *ExportAgentRequest) (*longrunning.Operation, error) // Restores the specified agent from a binary file. // diff --git a/googleapis/cloud/dialogflow/cx/v3beta1/audio_config.pb.go b/googleapis/cloud/dialogflow/cx/v3beta1/audio_config.pb.go index 631088985..fe3f57aa8 100644 --- a/googleapis/cloud/dialogflow/cx/v3beta1/audio_config.pb.go +++ b/googleapis/cloud/dialogflow/cx/v3beta1/audio_config.pb.go @@ -28,6 +28,7 @@ import ( protoreflect "google.golang.org/protobuf/reflect/protoreflect" protoimpl "google.golang.org/protobuf/runtime/protoimpl" durationpb "google.golang.org/protobuf/types/known/durationpb" + _ "google.golang.org/protobuf/types/known/timestamppb" ) const ( @@ -814,149 +815,151 @@ var file_google_cloud_dialogflow_cx_v3beta1_audio_config_proto_rawDesc = []byte{ 0x6f, 0x67, 0x6c, 0x65, 0x2f, 0x61, 0x70, 0x69, 0x2f, 0x72, 0x65, 0x73, 0x6f, 0x75, 0x72, 0x63, 0x65, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x1a, 0x1e, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2f, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x62, 0x75, 0x66, 0x2f, 0x64, 0x75, 0x72, 0x61, 0x74, 0x69, 0x6f, - 0x6e, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x1a, 0x1c, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2f, - 0x61, 0x70, 0x69, 0x2f, 0x61, 0x6e, 0x6e, 0x6f, 0x74, 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x73, 0x2e, - 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x22, 0xbc, 0x01, 0x0a, 0x0e, 0x53, 0x70, 0x65, 0x65, 0x63, 0x68, - 0x57, 0x6f, 0x72, 0x64, 0x49, 0x6e, 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The flow to update. Flow *Flow `protobuf:"bytes,1,opt,name=flow,proto3" json:"flow,omitempty"` - // Required. The mask to control which fields get updated. If `update_mask` is not - // specified, an error will be returned. + // The mask to control which fields get updated. If the mask is not present, + // all fields will be updated. UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"` // The language of the following fields in `flow`: // @@ -1585,257 +1585,257 @@ var file_google_cloud_dialogflow_cx_v3beta1_flow_proto_rawDesc = []byte{ 0x67, 0x6c, 0x65, 0x61, 0x70, 0x69, 0x73, 0x2e, 0x63, 0x6f, 0x6d, 0x2f, 0x46, 0x6c, 0x6f, 0x77, 0x52, 0x04, 0x6e, 0x61, 0x6d, 0x65, 0x12, 0x23, 0x0a, 0x0d, 0x6c, 0x61, 0x6e, 0x67, 0x75, 0x61, 0x67, 0x65, 0x5f, 0x63, 0x6f, 0x64, 0x65, 0x18, 0x02, 0x20, 0x01, 0x28, 0x09, 0x52, 0x0c, 0x6c, - 0x61, 0x6e, 0x67, 0x75, 0x61, 0x67, 0x65, 0x43, 0x6f, 0x64, 0x65, 0x22, 0xbd, 0x01, 0x0a, 0x11, + 0x61, 0x6e, 0x67, 0x75, 0x61, 0x67, 0x65, 0x43, 0x6f, 0x64, 0x65, 0x22, 0xb8, 0x01, 0x0a, 0x11, 0x55, 0x70, 0x64, 0x61, 0x74, 0x65, 0x46, 0x6c, 0x6f, 0x77, 0x52, 0x65, 0x71, 0x75, 0x65, 0x73, 0x74, 0x12, 0x41, 0x0a, 0x04, 0x66, 0x6c, 0x6f, 0x77, 0x18, 0x01, 0x20, 0x01, 0x28, 0x0b, 0x32, 0x28, 0x2e, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 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returned for the [TestCases.RunTestCase][google.cloud.dialogflow.cx.v3beta1.TestCases.RunTestCase] long running operation. +// This message currently has no fields. type RunTestCaseMetadata struct { state protoimpl.MessageState sizeCache protoimpl.SizeCache @@ -2618,7 +2619,7 @@ type ConversationTurn_VirtualAgentOutput struct { Differences []*TestRunDifference `protobuf:"bytes,5,rep,name=differences,proto3" json:"differences,omitempty"` // Required. Input only. The diagnostic // [info][Session.DetectIntentResponse.QueryResult.diagnostic_info] - // output for the turn. + // output for the turn. Required to calculate the testing coverage. DiagnosticInfo *structpb.Struct `protobuf:"bytes,6,opt,name=diagnostic_info,json=diagnosticInfo,proto3" json:"diagnostic_info,omitempty"` // The [Intent][google.cloud.dialogflow.cx.v3beta1.Intent] that triggered the response. Only name and displayName // will be set. @@ -4588,6 +4589,12 @@ type TestCasesClient interface { // Updates the specified test case. UpdateTestCase(ctx context.Context, in *UpdateTestCaseRequest, opts ...grpc.CallOption) (*TestCase, error) // Kicks off a test case run. + // This method is a [long-running + // operation](https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation). + // The returned `Operation` type has the following method-specific fields: + // + // - `metadata`: [RunTestCaseMetadata][google.cloud.dialogflow.cx.v3beta1.RunTestCaseMetadata] + // - `response`: [RunTestCaseResponse][google.cloud.dialogflow.cx.v3beta1.RunTestCaseResponse] RunTestCase(ctx context.Context, in *RunTestCaseRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) // Kicks off a batch run of test cases. BatchRunTestCases(ctx context.Context, in *BatchRunTestCasesRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) @@ -4735,6 +4742,12 @@ type TestCasesServer interface { // Updates the specified test case. UpdateTestCase(context.Context, *UpdateTestCaseRequest) (*TestCase, error) // Kicks off a test case run. + // This method is a [long-running + // operation](https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation). + // The returned `Operation` type has the following method-specific fields: + // + // - `metadata`: [RunTestCaseMetadata][google.cloud.dialogflow.cx.v3beta1.RunTestCaseMetadata] + // - `response`: [RunTestCaseResponse][google.cloud.dialogflow.cx.v3beta1.RunTestCaseResponse] RunTestCase(context.Context, *RunTestCaseRequest) (*longrunning.Operation, error) // Kicks off a batch run of test cases. BatchRunTestCases(context.Context, *BatchRunTestCasesRequest) (*longrunning.Operation, error) diff --git a/regen.txt b/regen.txt index 68169b880..6c939146d 100644 --- a/regen.txt +++ b/regen.txt @@ -1 +1 @@ -298a980ac0d20a806cda281912db05c1d9a1e731 \ No newline at end of file +ee78ed722d64527f5e5e3f2352599d958b0bd55c \ No newline at end of file