| // Copyright 2023 Google LLC |
| // |
| // Licensed under the Apache License, Version 2.0 (the "License"); |
| // you may not use this file except in compliance with the License. |
| // You may obtain a copy of the License at |
| // |
| // http://www.apache.org/licenses/LICENSE-2.0 |
| // |
| // Unless required by applicable law or agreed to in writing, software |
| // distributed under the License is distributed on an "AS IS" BASIS, |
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| // See the License for the specific language governing permissions and |
| // limitations under the License. |
| |
| // Code generated by protoc-gen-go. DO NOT EDIT. |
| // versions: |
| // protoc-gen-go v1.33.0 |
| // protoc v4.25.3 |
| // source: google/ai/generativelanguage/v1beta/model_service.proto |
| |
| package generativelanguagepb |
| |
| import ( |
| context "context" |
| reflect "reflect" |
| sync "sync" |
| |
| longrunningpb "cloud.google.com/go/longrunning/autogen/longrunningpb" |
| _ "google.golang.org/genproto/googleapis/api/annotations" |
| 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" |
| fieldmaskpb "google.golang.org/protobuf/types/known/fieldmaskpb" |
| ) |
| |
| 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 for getting information about a specific Model. |
| type GetModelRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The resource name of the model. |
| // |
| // This name should match a model name returned by the `ListModels` method. |
| // |
| // Format: `models/{model}` |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| } |
| |
| func (x *GetModelRequest) Reset() { |
| *x = GetModelRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_ai_generativelanguage_v1beta_model_service_proto_msgTypes[0] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *GetModelRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*GetModelRequest) ProtoMessage() {} |
| |
| func (x *GetModelRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_ai_generativelanguage_v1beta_model_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 GetModelRequest.ProtoReflect.Descriptor instead. |
| func (*GetModelRequest) Descriptor() ([]byte, []int) { |
| return file_google_ai_generativelanguage_v1beta_model_service_proto_rawDescGZIP(), []int{0} |
| } |
| |
| func (x *GetModelRequest) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| // Request for listing all Models. |
| type ListModelsRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The maximum number of `Models` to return (per page). |
| // |
| // The service may return fewer models. |
| // If unspecified, at most 50 models will be returned per page. |
| // This method returns at most 1000 models per page, even if you pass a larger |
| // page_size. |
| PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"` |
| // A page token, received from a previous `ListModels` call. |
| // |
| // Provide the `page_token` returned by one request as an argument to the next |
| // request to retrieve the next page. |
| // |
| // When paginating, all other parameters provided to `ListModels` must match |
| // the call that provided the page token. |
| PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"` |
| } |
| |
| func (x *ListModelsRequest) Reset() { |
| *x = ListModelsRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_ai_generativelanguage_v1beta_model_service_proto_msgTypes[1] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ListModelsRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ListModelsRequest) ProtoMessage() {} |
| |
| func (x *ListModelsRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_ai_generativelanguage_v1beta_model_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 ListModelsRequest.ProtoReflect.Descriptor instead. |
| func (*ListModelsRequest) Descriptor() ([]byte, []int) { |
| return file_google_ai_generativelanguage_v1beta_model_service_proto_rawDescGZIP(), []int{1} |
| } |
| |
| func (x *ListModelsRequest) GetPageSize() int32 { |
| if x != nil { |
| return x.PageSize |
| } |
| return 0 |
| } |
| |
| func (x *ListModelsRequest) GetPageToken() string { |
| if x != nil { |
| return x.PageToken |
| } |
| return "" |
| } |
| |
| // Response from `ListModel` containing a paginated list of Models. |
| type ListModelsResponse struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The returned Models. |
| Models []*Model `protobuf:"bytes,1,rep,name=models,proto3" json:"models,omitempty"` |
| // A token, which can be sent as `page_token` to retrieve the next page. |
| // |
| // If this field is omitted, there are no more pages. |
| NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"` |
| } |
| |
| func (x *ListModelsResponse) Reset() { |
| *x = ListModelsResponse{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_ai_generativelanguage_v1beta_model_service_proto_msgTypes[2] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ListModelsResponse) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ListModelsResponse) ProtoMessage() {} |
| |
| func (x *ListModelsResponse) ProtoReflect() protoreflect.Message { |
| mi := &file_google_ai_generativelanguage_v1beta_model_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 ListModelsResponse.ProtoReflect.Descriptor instead. |
| func (*ListModelsResponse) Descriptor() ([]byte, []int) { |
| return file_google_ai_generativelanguage_v1beta_model_service_proto_rawDescGZIP(), []int{2} |
| } |
| |
| func (x *ListModelsResponse) GetModels() []*Model { |
| if x != nil { |
| return x.Models |
| } |
| return nil |
| } |
| |
| func (x *ListModelsResponse) GetNextPageToken() string { |
| if x != nil { |
| return x.NextPageToken |
| } |
| return "" |
| } |
| |
| // Request for getting information about a specific Model. |
| type GetTunedModelRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The resource name of the model. |
| // |
| // Format: `tunedModels/my-model-id` |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| } |
| |
| func (x *GetTunedModelRequest) Reset() { |
| *x = GetTunedModelRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_ai_generativelanguage_v1beta_model_service_proto_msgTypes[3] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *GetTunedModelRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*GetTunedModelRequest) ProtoMessage() {} |
| |
| func (x *GetTunedModelRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_ai_generativelanguage_v1beta_model_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 GetTunedModelRequest.ProtoReflect.Descriptor instead. |
| func (*GetTunedModelRequest) Descriptor() ([]byte, []int) { |
| return file_google_ai_generativelanguage_v1beta_model_service_proto_rawDescGZIP(), []int{3} |
| } |
| |
| func (x *GetTunedModelRequest) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| // Request for listing TunedModels. |
| type ListTunedModelsRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Optional. The maximum number of `TunedModels` to return (per page). |
| // The service may return fewer tuned models. |
| // |
| // If unspecified, at most 10 tuned models will be returned. |
| // This method returns at most 1000 models per page, even if you pass a larger |
| // page_size. |
| PageSize int32 `protobuf:"varint,1,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"` |
| // Optional. A page token, received from a previous `ListTunedModels` call. |
| // |
| // Provide the `page_token` returned by one request as an argument to the next |
| // request to retrieve the next page. |
| // |
| // When paginating, all other parameters provided to `ListTunedModels` |
| // must match the call that provided the page token. |
| PageToken string `protobuf:"bytes,2,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"` |
| // Optional. A filter is a full text search over the tuned model's description |
| // and display name. By default, results will not include tuned models shared |
| // with everyone. |
| // |
| // Additional operators: |
| // - owner:me |
| // - writers:me |
| // - readers:me |
| // - readers:everyone |
| // |
| // Examples: |
| // |
| // "owner:me" returns all tuned models to which caller has owner role |
| // "readers:me" returns all tuned models to which caller has reader role |
| // "readers:everyone" returns all tuned models that are shared with everyone |
| Filter string `protobuf:"bytes,3,opt,name=filter,proto3" json:"filter,omitempty"` |
| } |
| |
| func (x *ListTunedModelsRequest) Reset() { |
| *x = ListTunedModelsRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_ai_generativelanguage_v1beta_model_service_proto_msgTypes[4] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ListTunedModelsRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ListTunedModelsRequest) ProtoMessage() {} |
| |
| func (x *ListTunedModelsRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_ai_generativelanguage_v1beta_model_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 ListTunedModelsRequest.ProtoReflect.Descriptor instead. |
| func (*ListTunedModelsRequest) Descriptor() ([]byte, []int) { |
| return file_google_ai_generativelanguage_v1beta_model_service_proto_rawDescGZIP(), []int{4} |
| } |
| |
| func (x *ListTunedModelsRequest) GetPageSize() int32 { |
| if x != nil { |
| return x.PageSize |
| } |
| return 0 |
| } |
| |
| func (x *ListTunedModelsRequest) GetPageToken() string { |
| if x != nil { |
| return x.PageToken |
| } |
| return "" |
| } |
| |
| func (x *ListTunedModelsRequest) GetFilter() string { |
| if x != nil { |
| return x.Filter |
| } |
| return "" |
| } |
| |
| // Response from `ListTunedModels` containing a paginated list of Models. |
| type ListTunedModelsResponse struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The returned Models. |
| TunedModels []*TunedModel `protobuf:"bytes,1,rep,name=tuned_models,json=tunedModels,proto3" json:"tuned_models,omitempty"` |
| // A token, which can be sent as `page_token` to retrieve the next page. |
| // |
| // If this field is omitted, there are no more pages. |
| NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"` |
| } |
| |
| func (x *ListTunedModelsResponse) Reset() { |
| *x = ListTunedModelsResponse{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_ai_generativelanguage_v1beta_model_service_proto_msgTypes[5] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ListTunedModelsResponse) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ListTunedModelsResponse) ProtoMessage() {} |
| |
| func (x *ListTunedModelsResponse) ProtoReflect() protoreflect.Message { |
| mi := &file_google_ai_generativelanguage_v1beta_model_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 ListTunedModelsResponse.ProtoReflect.Descriptor instead. |
| func (*ListTunedModelsResponse) Descriptor() ([]byte, []int) { |
| return file_google_ai_generativelanguage_v1beta_model_service_proto_rawDescGZIP(), []int{5} |
| } |
| |
| func (x *ListTunedModelsResponse) GetTunedModels() []*TunedModel { |
| if x != nil { |
| return x.TunedModels |
| } |
| return nil |
| } |
| |
| func (x *ListTunedModelsResponse) GetNextPageToken() string { |
| if x != nil { |
| return x.NextPageToken |
| } |
| return "" |
| } |
| |
| // Request to create a TunedModel. |
| type CreateTunedModelRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Optional. The unique id for the tuned model if specified. |
| // This value should be up to 40 characters, the first character must be a |
| // letter, the last could be a letter or a number. The id must match the |
| // regular expression: [a-z]([a-z0-9-]{0,38}[a-z0-9])?. |
| TunedModelId *string `protobuf:"bytes,1,opt,name=tuned_model_id,json=tunedModelId,proto3,oneof" json:"tuned_model_id,omitempty"` |
| // Required. The tuned model to create. |
| TunedModel *TunedModel `protobuf:"bytes,2,opt,name=tuned_model,json=tunedModel,proto3" json:"tuned_model,omitempty"` |
| } |
| |
| func (x *CreateTunedModelRequest) Reset() { |
| *x = CreateTunedModelRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_ai_generativelanguage_v1beta_model_service_proto_msgTypes[6] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *CreateTunedModelRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*CreateTunedModelRequest) ProtoMessage() {} |
| |
| func (x *CreateTunedModelRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_ai_generativelanguage_v1beta_model_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 CreateTunedModelRequest.ProtoReflect.Descriptor instead. |
| func (*CreateTunedModelRequest) Descriptor() ([]byte, []int) { |
| return file_google_ai_generativelanguage_v1beta_model_service_proto_rawDescGZIP(), []int{6} |
| } |
| |
| func (x *CreateTunedModelRequest) GetTunedModelId() string { |
| if x != nil && x.TunedModelId != nil { |
| return *x.TunedModelId |
| } |
| return "" |
| } |
| |
| func (x *CreateTunedModelRequest) GetTunedModel() *TunedModel { |
| if x != nil { |
| return x.TunedModel |
| } |
| return nil |
| } |
| |
| // Metadata about the state and progress of creating a tuned model returned from |
| // the long-running operation |
| type CreateTunedModelMetadata struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Name of the tuned model associated with the tuning operation. |
| TunedModel string `protobuf:"bytes,5,opt,name=tuned_model,json=tunedModel,proto3" json:"tuned_model,omitempty"` |
| // The total number of tuning steps. |
| TotalSteps int32 `protobuf:"varint,1,opt,name=total_steps,json=totalSteps,proto3" json:"total_steps,omitempty"` |
| // The number of steps completed. |
| CompletedSteps int32 `protobuf:"varint,2,opt,name=completed_steps,json=completedSteps,proto3" json:"completed_steps,omitempty"` |
| // The completed percentage for the tuning operation. |
| CompletedPercent float32 `protobuf:"fixed32,3,opt,name=completed_percent,json=completedPercent,proto3" json:"completed_percent,omitempty"` |
| // Metrics collected during tuning. |
| Snapshots []*TuningSnapshot `protobuf:"bytes,4,rep,name=snapshots,proto3" json:"snapshots,omitempty"` |
| } |
| |
| func (x *CreateTunedModelMetadata) Reset() { |
| *x = CreateTunedModelMetadata{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_ai_generativelanguage_v1beta_model_service_proto_msgTypes[7] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *CreateTunedModelMetadata) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*CreateTunedModelMetadata) ProtoMessage() {} |
| |
| func (x *CreateTunedModelMetadata) ProtoReflect() protoreflect.Message { |
| mi := &file_google_ai_generativelanguage_v1beta_model_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 CreateTunedModelMetadata.ProtoReflect.Descriptor instead. |
| func (*CreateTunedModelMetadata) Descriptor() ([]byte, []int) { |
| return file_google_ai_generativelanguage_v1beta_model_service_proto_rawDescGZIP(), []int{7} |
| } |
| |
| func (x *CreateTunedModelMetadata) GetTunedModel() string { |
| if x != nil { |
| return x.TunedModel |
| } |
| return "" |
| } |
| |
| func (x *CreateTunedModelMetadata) GetTotalSteps() int32 { |
| if x != nil { |
| return x.TotalSteps |
| } |
| return 0 |
| } |
| |
| func (x *CreateTunedModelMetadata) GetCompletedSteps() int32 { |
| if x != nil { |
| return x.CompletedSteps |
| } |
| return 0 |
| } |
| |
| func (x *CreateTunedModelMetadata) GetCompletedPercent() float32 { |
| if x != nil { |
| return x.CompletedPercent |
| } |
| return 0 |
| } |
| |
| func (x *CreateTunedModelMetadata) GetSnapshots() []*TuningSnapshot { |
| if x != nil { |
| return x.Snapshots |
| } |
| return nil |
| } |
| |
| // Request to update a TunedModel. |
| type UpdateTunedModelRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The tuned model to update. |
| TunedModel *TunedModel `protobuf:"bytes,1,opt,name=tuned_model,json=tunedModel,proto3" json:"tuned_model,omitempty"` |
| // Required. The list of fields to update. |
| UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"` |
| } |
| |
| func (x *UpdateTunedModelRequest) Reset() { |
| *x = UpdateTunedModelRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_ai_generativelanguage_v1beta_model_service_proto_msgTypes[8] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *UpdateTunedModelRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*UpdateTunedModelRequest) ProtoMessage() {} |
| |
| func (x *UpdateTunedModelRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_ai_generativelanguage_v1beta_model_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 UpdateTunedModelRequest.ProtoReflect.Descriptor instead. |
| func (*UpdateTunedModelRequest) Descriptor() ([]byte, []int) { |
| return file_google_ai_generativelanguage_v1beta_model_service_proto_rawDescGZIP(), []int{8} |
| } |
| |
| func (x *UpdateTunedModelRequest) GetTunedModel() *TunedModel { |
| if x != nil { |
| return x.TunedModel |
| } |
| return nil |
| } |
| |
| func (x *UpdateTunedModelRequest) GetUpdateMask() *fieldmaskpb.FieldMask { |
| if x != nil { |
| return x.UpdateMask |
| } |
| return nil |
| } |
| |
| // Request to delete a TunedModel. |
| type DeleteTunedModelRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The resource name of the model. |
| // Format: `tunedModels/my-model-id` |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| } |
| |
| func (x *DeleteTunedModelRequest) Reset() { |
| *x = DeleteTunedModelRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_ai_generativelanguage_v1beta_model_service_proto_msgTypes[9] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *DeleteTunedModelRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*DeleteTunedModelRequest) ProtoMessage() {} |
| |
| func (x *DeleteTunedModelRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_ai_generativelanguage_v1beta_model_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 DeleteTunedModelRequest.ProtoReflect.Descriptor instead. |
| func (*DeleteTunedModelRequest) Descriptor() ([]byte, []int) { |
| return file_google_ai_generativelanguage_v1beta_model_service_proto_rawDescGZIP(), []int{9} |
| } |
| |
| func (x *DeleteTunedModelRequest) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| var File_google_ai_generativelanguage_v1beta_model_service_proto protoreflect.FileDescriptor |
| |
| var file_google_ai_generativelanguage_v1beta_model_service_proto_rawDesc = []byte{ |
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| } |
| |
| var ( |
| file_google_ai_generativelanguage_v1beta_model_service_proto_rawDescOnce sync.Once |
| file_google_ai_generativelanguage_v1beta_model_service_proto_rawDescData = file_google_ai_generativelanguage_v1beta_model_service_proto_rawDesc |
| ) |
| |
| func file_google_ai_generativelanguage_v1beta_model_service_proto_rawDescGZIP() []byte { |
| file_google_ai_generativelanguage_v1beta_model_service_proto_rawDescOnce.Do(func() { |
| file_google_ai_generativelanguage_v1beta_model_service_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_ai_generativelanguage_v1beta_model_service_proto_rawDescData) |
| }) |
| return file_google_ai_generativelanguage_v1beta_model_service_proto_rawDescData |
| } |
| |
| var file_google_ai_generativelanguage_v1beta_model_service_proto_msgTypes = make([]protoimpl.MessageInfo, 10) |
| var file_google_ai_generativelanguage_v1beta_model_service_proto_goTypes = []interface{}{ |
| (*GetModelRequest)(nil), // 0: google.ai.generativelanguage.v1beta.GetModelRequest |
| (*ListModelsRequest)(nil), // 1: google.ai.generativelanguage.v1beta.ListModelsRequest |
| (*ListModelsResponse)(nil), // 2: google.ai.generativelanguage.v1beta.ListModelsResponse |
| (*GetTunedModelRequest)(nil), // 3: google.ai.generativelanguage.v1beta.GetTunedModelRequest |
| (*ListTunedModelsRequest)(nil), // 4: google.ai.generativelanguage.v1beta.ListTunedModelsRequest |
| (*ListTunedModelsResponse)(nil), // 5: google.ai.generativelanguage.v1beta.ListTunedModelsResponse |
| (*CreateTunedModelRequest)(nil), // 6: google.ai.generativelanguage.v1beta.CreateTunedModelRequest |
| (*CreateTunedModelMetadata)(nil), // 7: google.ai.generativelanguage.v1beta.CreateTunedModelMetadata |
| (*UpdateTunedModelRequest)(nil), // 8: google.ai.generativelanguage.v1beta.UpdateTunedModelRequest |
| (*DeleteTunedModelRequest)(nil), // 9: google.ai.generativelanguage.v1beta.DeleteTunedModelRequest |
| (*Model)(nil), // 10: google.ai.generativelanguage.v1beta.Model |
| (*TunedModel)(nil), // 11: google.ai.generativelanguage.v1beta.TunedModel |
| (*TuningSnapshot)(nil), // 12: google.ai.generativelanguage.v1beta.TuningSnapshot |
| (*fieldmaskpb.FieldMask)(nil), // 13: google.protobuf.FieldMask |
| (*longrunningpb.Operation)(nil), // 14: google.longrunning.Operation |
| (*emptypb.Empty)(nil), // 15: google.protobuf.Empty |
| } |
| var file_google_ai_generativelanguage_v1beta_model_service_proto_depIdxs = []int32{ |
| 10, // 0: google.ai.generativelanguage.v1beta.ListModelsResponse.models:type_name -> google.ai.generativelanguage.v1beta.Model |
| 11, // 1: google.ai.generativelanguage.v1beta.ListTunedModelsResponse.tuned_models:type_name -> google.ai.generativelanguage.v1beta.TunedModel |
| 11, // 2: google.ai.generativelanguage.v1beta.CreateTunedModelRequest.tuned_model:type_name -> google.ai.generativelanguage.v1beta.TunedModel |
| 12, // 3: google.ai.generativelanguage.v1beta.CreateTunedModelMetadata.snapshots:type_name -> google.ai.generativelanguage.v1beta.TuningSnapshot |
| 11, // 4: google.ai.generativelanguage.v1beta.UpdateTunedModelRequest.tuned_model:type_name -> google.ai.generativelanguage.v1beta.TunedModel |
| 13, // 5: google.ai.generativelanguage.v1beta.UpdateTunedModelRequest.update_mask:type_name -> google.protobuf.FieldMask |
| 0, // 6: google.ai.generativelanguage.v1beta.ModelService.GetModel:input_type -> google.ai.generativelanguage.v1beta.GetModelRequest |
| 1, // 7: google.ai.generativelanguage.v1beta.ModelService.ListModels:input_type -> google.ai.generativelanguage.v1beta.ListModelsRequest |
| 3, // 8: google.ai.generativelanguage.v1beta.ModelService.GetTunedModel:input_type -> google.ai.generativelanguage.v1beta.GetTunedModelRequest |
| 4, // 9: google.ai.generativelanguage.v1beta.ModelService.ListTunedModels:input_type -> google.ai.generativelanguage.v1beta.ListTunedModelsRequest |
| 6, // 10: google.ai.generativelanguage.v1beta.ModelService.CreateTunedModel:input_type -> google.ai.generativelanguage.v1beta.CreateTunedModelRequest |
| 8, // 11: google.ai.generativelanguage.v1beta.ModelService.UpdateTunedModel:input_type -> google.ai.generativelanguage.v1beta.UpdateTunedModelRequest |
| 9, // 12: google.ai.generativelanguage.v1beta.ModelService.DeleteTunedModel:input_type -> google.ai.generativelanguage.v1beta.DeleteTunedModelRequest |
| 10, // 13: google.ai.generativelanguage.v1beta.ModelService.GetModel:output_type -> google.ai.generativelanguage.v1beta.Model |
| 2, // 14: google.ai.generativelanguage.v1beta.ModelService.ListModels:output_type -> google.ai.generativelanguage.v1beta.ListModelsResponse |
| 11, // 15: google.ai.generativelanguage.v1beta.ModelService.GetTunedModel:output_type -> google.ai.generativelanguage.v1beta.TunedModel |
| 5, // 16: google.ai.generativelanguage.v1beta.ModelService.ListTunedModels:output_type -> google.ai.generativelanguage.v1beta.ListTunedModelsResponse |
| 14, // 17: google.ai.generativelanguage.v1beta.ModelService.CreateTunedModel:output_type -> google.longrunning.Operation |
| 11, // 18: google.ai.generativelanguage.v1beta.ModelService.UpdateTunedModel:output_type -> google.ai.generativelanguage.v1beta.TunedModel |
| 15, // 19: google.ai.generativelanguage.v1beta.ModelService.DeleteTunedModel:output_type -> google.protobuf.Empty |
| 13, // [13:20] is the sub-list for method output_type |
| 6, // [6:13] is the sub-list for method input_type |
| 6, // [6:6] is the sub-list for extension type_name |
| 6, // [6:6] is the sub-list for extension extendee |
| 0, // [0:6] is the sub-list for field type_name |
| } |
| |
| func init() { file_google_ai_generativelanguage_v1beta_model_service_proto_init() } |
| func file_google_ai_generativelanguage_v1beta_model_service_proto_init() { |
| if File_google_ai_generativelanguage_v1beta_model_service_proto != nil { |
| return |
| } |
| file_google_ai_generativelanguage_v1beta_model_proto_init() |
| file_google_ai_generativelanguage_v1beta_tuned_model_proto_init() |
| if !protoimpl.UnsafeEnabled { |
| file_google_ai_generativelanguage_v1beta_model_service_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*GetModelRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_ai_generativelanguage_v1beta_model_service_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ListModelsRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_ai_generativelanguage_v1beta_model_service_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ListModelsResponse); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_ai_generativelanguage_v1beta_model_service_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*GetTunedModelRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_ai_generativelanguage_v1beta_model_service_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ListTunedModelsRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_ai_generativelanguage_v1beta_model_service_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ListTunedModelsResponse); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_ai_generativelanguage_v1beta_model_service_proto_msgTypes[6].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*CreateTunedModelRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_ai_generativelanguage_v1beta_model_service_proto_msgTypes[7].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*CreateTunedModelMetadata); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_ai_generativelanguage_v1beta_model_service_proto_msgTypes[8].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*UpdateTunedModelRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_ai_generativelanguage_v1beta_model_service_proto_msgTypes[9].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*DeleteTunedModelRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| } |
| file_google_ai_generativelanguage_v1beta_model_service_proto_msgTypes[6].OneofWrappers = []interface{}{} |
| type x struct{} |
| out := protoimpl.TypeBuilder{ |
| File: protoimpl.DescBuilder{ |
| GoPackagePath: reflect.TypeOf(x{}).PkgPath(), |
| RawDescriptor: file_google_ai_generativelanguage_v1beta_model_service_proto_rawDesc, |
| NumEnums: 0, |
| NumMessages: 10, |
| NumExtensions: 0, |
| NumServices: 1, |
| }, |
| GoTypes: file_google_ai_generativelanguage_v1beta_model_service_proto_goTypes, |
| DependencyIndexes: file_google_ai_generativelanguage_v1beta_model_service_proto_depIdxs, |
| MessageInfos: file_google_ai_generativelanguage_v1beta_model_service_proto_msgTypes, |
| }.Build() |
| File_google_ai_generativelanguage_v1beta_model_service_proto = out.File |
| file_google_ai_generativelanguage_v1beta_model_service_proto_rawDesc = nil |
| file_google_ai_generativelanguage_v1beta_model_service_proto_goTypes = nil |
| file_google_ai_generativelanguage_v1beta_model_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 |
| |
| // ModelServiceClient is the client API for ModelService service. |
| // |
| // For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream. |
| type ModelServiceClient interface { |
| // Gets information about a specific Model. |
| GetModel(ctx context.Context, in *GetModelRequest, opts ...grpc.CallOption) (*Model, error) |
| // Lists models available through the API. |
| ListModels(ctx context.Context, in *ListModelsRequest, opts ...grpc.CallOption) (*ListModelsResponse, error) |
| // Gets information about a specific TunedModel. |
| GetTunedModel(ctx context.Context, in *GetTunedModelRequest, opts ...grpc.CallOption) (*TunedModel, error) |
| // Lists tuned models owned by the user. |
| ListTunedModels(ctx context.Context, in *ListTunedModelsRequest, opts ...grpc.CallOption) (*ListTunedModelsResponse, error) |
| // Creates a tuned model. |
| // Intermediate tuning progress (if any) is accessed through the |
| // [google.longrunning.Operations] service. |
| // |
| // Status and results can be accessed through the Operations service. |
| // Example: |
| // |
| // GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222 |
| CreateTunedModel(ctx context.Context, in *CreateTunedModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) |
| // Updates a tuned model. |
| UpdateTunedModel(ctx context.Context, in *UpdateTunedModelRequest, opts ...grpc.CallOption) (*TunedModel, error) |
| // Deletes a tuned model. |
| DeleteTunedModel(ctx context.Context, in *DeleteTunedModelRequest, opts ...grpc.CallOption) (*emptypb.Empty, error) |
| } |
| |
| type modelServiceClient struct { |
| cc grpc.ClientConnInterface |
| } |
| |
| func NewModelServiceClient(cc grpc.ClientConnInterface) ModelServiceClient { |
| return &modelServiceClient{cc} |
| } |
| |
| func (c *modelServiceClient) GetModel(ctx context.Context, in *GetModelRequest, opts ...grpc.CallOption) (*Model, error) { |
| out := new(Model) |
| err := c.cc.Invoke(ctx, "/google.ai.generativelanguage.v1beta.ModelService/GetModel", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *modelServiceClient) ListModels(ctx context.Context, in *ListModelsRequest, opts ...grpc.CallOption) (*ListModelsResponse, error) { |
| out := new(ListModelsResponse) |
| err := c.cc.Invoke(ctx, "/google.ai.generativelanguage.v1beta.ModelService/ListModels", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *modelServiceClient) GetTunedModel(ctx context.Context, in *GetTunedModelRequest, opts ...grpc.CallOption) (*TunedModel, error) { |
| out := new(TunedModel) |
| err := c.cc.Invoke(ctx, "/google.ai.generativelanguage.v1beta.ModelService/GetTunedModel", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *modelServiceClient) ListTunedModels(ctx context.Context, in *ListTunedModelsRequest, opts ...grpc.CallOption) (*ListTunedModelsResponse, error) { |
| out := new(ListTunedModelsResponse) |
| err := c.cc.Invoke(ctx, "/google.ai.generativelanguage.v1beta.ModelService/ListTunedModels", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *modelServiceClient) CreateTunedModel(ctx context.Context, in *CreateTunedModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) { |
| out := new(longrunningpb.Operation) |
| err := c.cc.Invoke(ctx, "/google.ai.generativelanguage.v1beta.ModelService/CreateTunedModel", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *modelServiceClient) UpdateTunedModel(ctx context.Context, in *UpdateTunedModelRequest, opts ...grpc.CallOption) (*TunedModel, error) { |
| out := new(TunedModel) |
| err := c.cc.Invoke(ctx, "/google.ai.generativelanguage.v1beta.ModelService/UpdateTunedModel", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *modelServiceClient) DeleteTunedModel(ctx context.Context, in *DeleteTunedModelRequest, opts ...grpc.CallOption) (*emptypb.Empty, error) { |
| out := new(emptypb.Empty) |
| err := c.cc.Invoke(ctx, "/google.ai.generativelanguage.v1beta.ModelService/DeleteTunedModel", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| // ModelServiceServer is the server API for ModelService service. |
| type ModelServiceServer interface { |
| // Gets information about a specific Model. |
| GetModel(context.Context, *GetModelRequest) (*Model, error) |
| // Lists models available through the API. |
| ListModels(context.Context, *ListModelsRequest) (*ListModelsResponse, error) |
| // Gets information about a specific TunedModel. |
| GetTunedModel(context.Context, *GetTunedModelRequest) (*TunedModel, error) |
| // Lists tuned models owned by the user. |
| ListTunedModels(context.Context, *ListTunedModelsRequest) (*ListTunedModelsResponse, error) |
| // Creates a tuned model. |
| // Intermediate tuning progress (if any) is accessed through the |
| // [google.longrunning.Operations] service. |
| // |
| // Status and results can be accessed through the Operations service. |
| // Example: |
| // |
| // GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222 |
| CreateTunedModel(context.Context, *CreateTunedModelRequest) (*longrunningpb.Operation, error) |
| // Updates a tuned model. |
| UpdateTunedModel(context.Context, *UpdateTunedModelRequest) (*TunedModel, error) |
| // Deletes a tuned model. |
| DeleteTunedModel(context.Context, *DeleteTunedModelRequest) (*emptypb.Empty, error) |
| } |
| |
| // UnimplementedModelServiceServer can be embedded to have forward compatible implementations. |
| type UnimplementedModelServiceServer struct { |
| } |
| |
| func (*UnimplementedModelServiceServer) GetModel(context.Context, *GetModelRequest) (*Model, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method GetModel not implemented") |
| } |
| func (*UnimplementedModelServiceServer) ListModels(context.Context, *ListModelsRequest) (*ListModelsResponse, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method ListModels not implemented") |
| } |
| func (*UnimplementedModelServiceServer) GetTunedModel(context.Context, *GetTunedModelRequest) (*TunedModel, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method GetTunedModel not implemented") |
| } |
| func (*UnimplementedModelServiceServer) ListTunedModels(context.Context, *ListTunedModelsRequest) (*ListTunedModelsResponse, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method ListTunedModels not implemented") |
| } |
| func (*UnimplementedModelServiceServer) CreateTunedModel(context.Context, *CreateTunedModelRequest) (*longrunningpb.Operation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method CreateTunedModel not implemented") |
| } |
| func (*UnimplementedModelServiceServer) UpdateTunedModel(context.Context, *UpdateTunedModelRequest) (*TunedModel, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method UpdateTunedModel not implemented") |
| } |
| func (*UnimplementedModelServiceServer) DeleteTunedModel(context.Context, *DeleteTunedModelRequest) (*emptypb.Empty, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method DeleteTunedModel not implemented") |
| } |
| |
| func RegisterModelServiceServer(s *grpc.Server, srv ModelServiceServer) { |
| s.RegisterService(&_ModelService_serviceDesc, srv) |
| } |
| |
| func _ModelService_GetModel_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(GetModelRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(ModelServiceServer).GetModel(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.ai.generativelanguage.v1beta.ModelService/GetModel", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(ModelServiceServer).GetModel(ctx, req.(*GetModelRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _ModelService_ListModels_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(ListModelsRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(ModelServiceServer).ListModels(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.ai.generativelanguage.v1beta.ModelService/ListModels", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(ModelServiceServer).ListModels(ctx, req.(*ListModelsRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _ModelService_GetTunedModel_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(GetTunedModelRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(ModelServiceServer).GetTunedModel(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.ai.generativelanguage.v1beta.ModelService/GetTunedModel", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(ModelServiceServer).GetTunedModel(ctx, req.(*GetTunedModelRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _ModelService_ListTunedModels_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(ListTunedModelsRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(ModelServiceServer).ListTunedModels(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.ai.generativelanguage.v1beta.ModelService/ListTunedModels", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(ModelServiceServer).ListTunedModels(ctx, req.(*ListTunedModelsRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _ModelService_CreateTunedModel_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(CreateTunedModelRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(ModelServiceServer).CreateTunedModel(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.ai.generativelanguage.v1beta.ModelService/CreateTunedModel", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(ModelServiceServer).CreateTunedModel(ctx, req.(*CreateTunedModelRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _ModelService_UpdateTunedModel_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(UpdateTunedModelRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(ModelServiceServer).UpdateTunedModel(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.ai.generativelanguage.v1beta.ModelService/UpdateTunedModel", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(ModelServiceServer).UpdateTunedModel(ctx, req.(*UpdateTunedModelRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _ModelService_DeleteTunedModel_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(DeleteTunedModelRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(ModelServiceServer).DeleteTunedModel(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.ai.generativelanguage.v1beta.ModelService/DeleteTunedModel", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(ModelServiceServer).DeleteTunedModel(ctx, req.(*DeleteTunedModelRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| var _ModelService_serviceDesc = grpc.ServiceDesc{ |
| ServiceName: "google.ai.generativelanguage.v1beta.ModelService", |
| HandlerType: (*ModelServiceServer)(nil), |
| Methods: []grpc.MethodDesc{ |
| { |
| MethodName: "GetModel", |
| Handler: _ModelService_GetModel_Handler, |
| }, |
| { |
| MethodName: "ListModels", |
| Handler: _ModelService_ListModels_Handler, |
| }, |
| { |
| MethodName: "GetTunedModel", |
| Handler: _ModelService_GetTunedModel_Handler, |
| }, |
| { |
| MethodName: "ListTunedModels", |
| Handler: _ModelService_ListTunedModels_Handler, |
| }, |
| { |
| MethodName: "CreateTunedModel", |
| Handler: _ModelService_CreateTunedModel_Handler, |
| }, |
| { |
| MethodName: "UpdateTunedModel", |
| Handler: _ModelService_UpdateTunedModel_Handler, |
| }, |
| { |
| MethodName: "DeleteTunedModel", |
| Handler: _ModelService_DeleteTunedModel_Handler, |
| }, |
| }, |
| Streams: []grpc.StreamDesc{}, |
| Metadata: "google/ai/generativelanguage/v1beta/model_service.proto", |
| } |
