| // 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/cloud/aiplatform/v1/prediction_service.proto |
| |
| package aiplatformpb |
| |
| import ( |
| context "context" |
| reflect "reflect" |
| sync "sync" |
| |
| _ "google.golang.org/genproto/googleapis/api/annotations" |
| 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" |
| protoreflect "google.golang.org/protobuf/reflect/protoreflect" |
| protoimpl "google.golang.org/protobuf/runtime/protoimpl" |
| structpb "google.golang.org/protobuf/types/known/structpb" |
| ) |
| |
| 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) |
| ) |
| |
| // Blocked reason enumeration. |
| type GenerateContentResponse_PromptFeedback_BlockedReason int32 |
| |
| const ( |
| // Unspecified blocked reason. |
| GenerateContentResponse_PromptFeedback_BLOCKED_REASON_UNSPECIFIED GenerateContentResponse_PromptFeedback_BlockedReason = 0 |
| // Candidates blocked due to safety. |
| GenerateContentResponse_PromptFeedback_SAFETY GenerateContentResponse_PromptFeedback_BlockedReason = 1 |
| // Candidates blocked due to other reason. |
| GenerateContentResponse_PromptFeedback_OTHER GenerateContentResponse_PromptFeedback_BlockedReason = 2 |
| // Candidates blocked due to the terms which are included from the |
| // terminology blocklist. |
| GenerateContentResponse_PromptFeedback_BLOCKLIST GenerateContentResponse_PromptFeedback_BlockedReason = 3 |
| // Candidates blocked due to prohibited content. |
| GenerateContentResponse_PromptFeedback_PROHIBITED_CONTENT GenerateContentResponse_PromptFeedback_BlockedReason = 4 |
| ) |
| |
| // Enum value maps for GenerateContentResponse_PromptFeedback_BlockedReason. |
| var ( |
| GenerateContentResponse_PromptFeedback_BlockedReason_name = map[int32]string{ |
| 0: "BLOCKED_REASON_UNSPECIFIED", |
| 1: "SAFETY", |
| 2: "OTHER", |
| 3: "BLOCKLIST", |
| 4: "PROHIBITED_CONTENT", |
| } |
| GenerateContentResponse_PromptFeedback_BlockedReason_value = map[string]int32{ |
| "BLOCKED_REASON_UNSPECIFIED": 0, |
| "SAFETY": 1, |
| "OTHER": 2, |
| "BLOCKLIST": 3, |
| "PROHIBITED_CONTENT": 4, |
| } |
| ) |
| |
| func (x GenerateContentResponse_PromptFeedback_BlockedReason) Enum() *GenerateContentResponse_PromptFeedback_BlockedReason { |
| p := new(GenerateContentResponse_PromptFeedback_BlockedReason) |
| *p = x |
| return p |
| } |
| |
| func (x GenerateContentResponse_PromptFeedback_BlockedReason) String() string { |
| return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x)) |
| } |
| |
| func (GenerateContentResponse_PromptFeedback_BlockedReason) Descriptor() protoreflect.EnumDescriptor { |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_enumTypes[0].Descriptor() |
| } |
| |
| func (GenerateContentResponse_PromptFeedback_BlockedReason) Type() protoreflect.EnumType { |
| return &file_google_cloud_aiplatform_v1_prediction_service_proto_enumTypes[0] |
| } |
| |
| func (x GenerateContentResponse_PromptFeedback_BlockedReason) Number() protoreflect.EnumNumber { |
| return protoreflect.EnumNumber(x) |
| } |
| |
| // Deprecated: Use GenerateContentResponse_PromptFeedback_BlockedReason.Descriptor instead. |
| func (GenerateContentResponse_PromptFeedback_BlockedReason) EnumDescriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescGZIP(), []int{21, 0, 0} |
| } |
| |
| // Request message for |
| // [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]. |
| type PredictRequest 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"` |
| // Required. The instances that are the input to the prediction call. |
| // A DeployedModel may have an upper limit on the number of instances it |
| // supports per request, and when it is exceeded the prediction call errors |
| // in case of AutoML Models, or, in case of customer created Models, the |
| // behaviour is as documented by that Model. |
| // The schema of any single instance may be specified via Endpoint's |
| // DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model] |
| // [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata] |
| // [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]. |
| Instances []*structpb.Value `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"` |
| // The parameters that govern the prediction. The schema of the parameters may |
| // be specified via Endpoint's DeployedModels' [Model's |
| // ][google.cloud.aiplatform.v1.DeployedModel.model] |
| // [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata] |
| // [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]. |
| Parameters *structpb.Value `protobuf:"bytes,3,opt,name=parameters,proto3" json:"parameters,omitempty"` |
| } |
| |
| func (x *PredictRequest) Reset() { |
| *x = PredictRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[0] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *PredictRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*PredictRequest) ProtoMessage() {} |
| |
| func (x *PredictRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_prediction_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 PredictRequest.ProtoReflect.Descriptor instead. |
| func (*PredictRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescGZIP(), []int{0} |
| } |
| |
| func (x *PredictRequest) GetEndpoint() string { |
| if x != nil { |
| return x.Endpoint |
| } |
| return "" |
| } |
| |
| func (x *PredictRequest) GetInstances() []*structpb.Value { |
| if x != nil { |
| return x.Instances |
| } |
| return nil |
| } |
| |
| func (x *PredictRequest) GetParameters() *structpb.Value { |
| if x != nil { |
| return x.Parameters |
| } |
| return nil |
| } |
| |
| // Response message for |
| // [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]. |
| type PredictResponse struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The predictions that are the output of the predictions call. |
| // The schema of any single prediction may be specified via Endpoint's |
| // DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model] |
| // [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata] |
| // [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri]. |
| Predictions []*structpb.Value `protobuf:"bytes,1,rep,name=predictions,proto3" json:"predictions,omitempty"` |
| // ID of the Endpoint's DeployedModel that served this prediction. |
| DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"` |
| // Output only. The resource name of the Model which is deployed as the |
| // DeployedModel that this prediction hits. |
| Model string `protobuf:"bytes,3,opt,name=model,proto3" json:"model,omitempty"` |
| // Output only. The version ID of the Model which is deployed as the |
| // DeployedModel that this prediction hits. |
| ModelVersionId string `protobuf:"bytes,5,opt,name=model_version_id,json=modelVersionId,proto3" json:"model_version_id,omitempty"` |
| // Output only. The [display |
| // name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is |
| // deployed as the DeployedModel that this prediction hits. |
| ModelDisplayName string `protobuf:"bytes,4,opt,name=model_display_name,json=modelDisplayName,proto3" json:"model_display_name,omitempty"` |
| // Output only. Request-level metadata returned by the model. The metadata |
| // type will be dependent upon the model implementation. |
| Metadata *structpb.Value `protobuf:"bytes,6,opt,name=metadata,proto3" json:"metadata,omitempty"` |
| } |
| |
| func (x *PredictResponse) Reset() { |
| *x = PredictResponse{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[1] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *PredictResponse) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*PredictResponse) ProtoMessage() {} |
| |
| func (x *PredictResponse) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_prediction_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 PredictResponse.ProtoReflect.Descriptor instead. |
| func (*PredictResponse) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescGZIP(), []int{1} |
| } |
| |
| func (x *PredictResponse) GetPredictions() []*structpb.Value { |
| if x != nil { |
| return x.Predictions |
| } |
| return nil |
| } |
| |
| func (x *PredictResponse) GetDeployedModelId() string { |
| if x != nil { |
| return x.DeployedModelId |
| } |
| return "" |
| } |
| |
| func (x *PredictResponse) GetModel() string { |
| if x != nil { |
| return x.Model |
| } |
| return "" |
| } |
| |
| func (x *PredictResponse) GetModelVersionId() string { |
| if x != nil { |
| return x.ModelVersionId |
| } |
| return "" |
| } |
| |
| func (x *PredictResponse) GetModelDisplayName() string { |
| if x != nil { |
| return x.ModelDisplayName |
| } |
| return "" |
| } |
| |
| func (x *PredictResponse) GetMetadata() *structpb.Value { |
| if x != nil { |
| return x.Metadata |
| } |
| return nil |
| } |
| |
| // Request message for |
| // [PredictionService.RawPredict][google.cloud.aiplatform.v1.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.v1.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.v1.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.v1.PredictSchemata.instance_schema_uri] |
| // field when you create a [Model][google.cloud.aiplatform.v1.Model]. This |
| // schema applies when you deploy the `Model` as a `DeployedModel` to an |
| // [Endpoint][google.cloud.aiplatform.v1.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_v1_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_v1_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_v1_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.StreamRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamRawPredict]. |
| type StreamRawPredictRequest 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. |
| HttpBody *httpbody.HttpBody `protobuf:"bytes,2,opt,name=http_body,json=httpBody,proto3" json:"http_body,omitempty"` |
| } |
| |
| func (x *StreamRawPredictRequest) Reset() { |
| *x = StreamRawPredictRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[3] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *StreamRawPredictRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*StreamRawPredictRequest) ProtoMessage() {} |
| |
| func (x *StreamRawPredictRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_prediction_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 StreamRawPredictRequest.ProtoReflect.Descriptor instead. |
| func (*StreamRawPredictRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescGZIP(), []int{3} |
| } |
| |
| func (x *StreamRawPredictRequest) GetEndpoint() string { |
| if x != nil { |
| return x.Endpoint |
| } |
| return "" |
| } |
| |
| func (x *StreamRawPredictRequest) GetHttpBody() *httpbody.HttpBody { |
| if x != nil { |
| return x.HttpBody |
| } |
| return nil |
| } |
| |
| // Request message for |
| // [PredictionService.DirectPredict][google.cloud.aiplatform.v1.PredictionService.DirectPredict]. |
| type DirectPredictRequest 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. |
| Inputs []*Tensor `protobuf:"bytes,2,rep,name=inputs,proto3" json:"inputs,omitempty"` |
| // The parameters that govern the prediction. |
| Parameters *Tensor `protobuf:"bytes,3,opt,name=parameters,proto3" json:"parameters,omitempty"` |
| } |
| |
| func (x *DirectPredictRequest) Reset() { |
| *x = DirectPredictRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[4] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *DirectPredictRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*DirectPredictRequest) ProtoMessage() {} |
| |
| func (x *DirectPredictRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_prediction_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 DirectPredictRequest.ProtoReflect.Descriptor instead. |
| func (*DirectPredictRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescGZIP(), []int{4} |
| } |
| |
| func (x *DirectPredictRequest) GetEndpoint() string { |
| if x != nil { |
| return x.Endpoint |
| } |
| return "" |
| } |
| |
| func (x *DirectPredictRequest) GetInputs() []*Tensor { |
| if x != nil { |
| return x.Inputs |
| } |
| return nil |
| } |
| |
| func (x *DirectPredictRequest) GetParameters() *Tensor { |
| if x != nil { |
| return x.Parameters |
| } |
| return nil |
| } |
| |
| // Response message for |
| // [PredictionService.DirectPredict][google.cloud.aiplatform.v1.PredictionService.DirectPredict]. |
| type DirectPredictResponse struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The prediction output. |
| Outputs []*Tensor `protobuf:"bytes,1,rep,name=outputs,proto3" json:"outputs,omitempty"` |
| // The parameters that govern the prediction. |
| Parameters *Tensor `protobuf:"bytes,2,opt,name=parameters,proto3" json:"parameters,omitempty"` |
| } |
| |
| func (x *DirectPredictResponse) Reset() { |
| *x = DirectPredictResponse{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[5] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *DirectPredictResponse) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*DirectPredictResponse) ProtoMessage() {} |
| |
| func (x *DirectPredictResponse) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_prediction_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 DirectPredictResponse.ProtoReflect.Descriptor instead. |
| func (*DirectPredictResponse) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescGZIP(), []int{5} |
| } |
| |
| func (x *DirectPredictResponse) GetOutputs() []*Tensor { |
| if x != nil { |
| return x.Outputs |
| } |
| return nil |
| } |
| |
| func (x *DirectPredictResponse) GetParameters() *Tensor { |
| if x != nil { |
| return x.Parameters |
| } |
| return nil |
| } |
| |
| // Request message for |
| // [PredictionService.DirectRawPredict][google.cloud.aiplatform.v1.PredictionService.DirectRawPredict]. |
| type DirectRawPredictRequest 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"` |
| // Fully qualified name of the API method being invoked to perform |
| // predictions. |
| // |
| // Format: |
| // `/namespace.Service/Method/` |
| // Example: |
| // `/tensorflow.serving.PredictionService/Predict` |
| MethodName string `protobuf:"bytes,2,opt,name=method_name,json=methodName,proto3" json:"method_name,omitempty"` |
| // The prediction input. |
| Input []byte `protobuf:"bytes,3,opt,name=input,proto3" json:"input,omitempty"` |
| } |
| |
| func (x *DirectRawPredictRequest) Reset() { |
| *x = DirectRawPredictRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[6] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *DirectRawPredictRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*DirectRawPredictRequest) ProtoMessage() {} |
| |
| func (x *DirectRawPredictRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_prediction_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 DirectRawPredictRequest.ProtoReflect.Descriptor instead. |
| func (*DirectRawPredictRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescGZIP(), []int{6} |
| } |
| |
| func (x *DirectRawPredictRequest) GetEndpoint() string { |
| if x != nil { |
| return x.Endpoint |
| } |
| return "" |
| } |
| |
| func (x *DirectRawPredictRequest) GetMethodName() string { |
| if x != nil { |
| return x.MethodName |
| } |
| return "" |
| } |
| |
| func (x *DirectRawPredictRequest) GetInput() []byte { |
| if x != nil { |
| return x.Input |
| } |
| return nil |
| } |
| |
| // Response message for |
| // [PredictionService.DirectRawPredict][google.cloud.aiplatform.v1.PredictionService.DirectRawPredict]. |
| type DirectRawPredictResponse struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The prediction output. |
| Output []byte `protobuf:"bytes,1,opt,name=output,proto3" json:"output,omitempty"` |
| } |
| |
| func (x *DirectRawPredictResponse) Reset() { |
| *x = DirectRawPredictResponse{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[7] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *DirectRawPredictResponse) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*DirectRawPredictResponse) ProtoMessage() {} |
| |
| func (x *DirectRawPredictResponse) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_prediction_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 DirectRawPredictResponse.ProtoReflect.Descriptor instead. |
| func (*DirectRawPredictResponse) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescGZIP(), []int{7} |
| } |
| |
| func (x *DirectRawPredictResponse) GetOutput() []byte { |
| if x != nil { |
| return x.Output |
| } |
| return nil |
| } |
| |
| // Request message for |
| // [PredictionService.StreamDirectPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectPredict]. |
| // |
| // The first message must contain |
| // [endpoint][google.cloud.aiplatform.v1.StreamDirectPredictRequest.endpoint] |
| // field and optionally [input][]. The subsequent messages must contain |
| // [input][]. |
| type StreamDirectPredictRequest 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"` |
| // Optional. The prediction input. |
| Inputs []*Tensor `protobuf:"bytes,2,rep,name=inputs,proto3" json:"inputs,omitempty"` |
| // Optional. The parameters that govern the prediction. |
| Parameters *Tensor `protobuf:"bytes,3,opt,name=parameters,proto3" json:"parameters,omitempty"` |
| } |
| |
| func (x *StreamDirectPredictRequest) Reset() { |
| *x = StreamDirectPredictRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[8] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *StreamDirectPredictRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*StreamDirectPredictRequest) ProtoMessage() {} |
| |
| func (x *StreamDirectPredictRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_prediction_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 StreamDirectPredictRequest.ProtoReflect.Descriptor instead. |
| func (*StreamDirectPredictRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescGZIP(), []int{8} |
| } |
| |
| func (x *StreamDirectPredictRequest) GetEndpoint() string { |
| if x != nil { |
| return x.Endpoint |
| } |
| return "" |
| } |
| |
| func (x *StreamDirectPredictRequest) GetInputs() []*Tensor { |
| if x != nil { |
| return x.Inputs |
| } |
| return nil |
| } |
| |
| func (x *StreamDirectPredictRequest) GetParameters() *Tensor { |
| if x != nil { |
| return x.Parameters |
| } |
| return nil |
| } |
| |
| // Response message for |
| // [PredictionService.StreamDirectPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectPredict]. |
| type StreamDirectPredictResponse struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The prediction output. |
| Outputs []*Tensor `protobuf:"bytes,1,rep,name=outputs,proto3" json:"outputs,omitempty"` |
| // The parameters that govern the prediction. |
| Parameters *Tensor `protobuf:"bytes,2,opt,name=parameters,proto3" json:"parameters,omitempty"` |
| } |
| |
| func (x *StreamDirectPredictResponse) Reset() { |
| *x = StreamDirectPredictResponse{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[9] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *StreamDirectPredictResponse) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*StreamDirectPredictResponse) ProtoMessage() {} |
| |
| func (x *StreamDirectPredictResponse) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_prediction_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 StreamDirectPredictResponse.ProtoReflect.Descriptor instead. |
| func (*StreamDirectPredictResponse) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescGZIP(), []int{9} |
| } |
| |
| func (x *StreamDirectPredictResponse) GetOutputs() []*Tensor { |
| if x != nil { |
| return x.Outputs |
| } |
| return nil |
| } |
| |
| func (x *StreamDirectPredictResponse) GetParameters() *Tensor { |
| if x != nil { |
| return x.Parameters |
| } |
| return nil |
| } |
| |
| // Request message for |
| // [PredictionService.StreamDirectRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectRawPredict]. |
| // |
| // The first message must contain |
| // [endpoint][google.cloud.aiplatform.v1.StreamDirectRawPredictRequest.endpoint] |
| // and |
| // [method_name][google.cloud.aiplatform.v1.StreamDirectRawPredictRequest.method_name] |
| // fields and optionally |
| // [input][google.cloud.aiplatform.v1.StreamDirectRawPredictRequest.input]. The |
| // subsequent messages must contain |
| // [input][google.cloud.aiplatform.v1.StreamDirectRawPredictRequest.input]. |
| // [method_name][google.cloud.aiplatform.v1.StreamDirectRawPredictRequest.method_name] |
| // in the subsequent messages have no effect. |
| type StreamDirectRawPredictRequest 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"` |
| // Optional. Fully qualified name of the API method being invoked to perform |
| // predictions. |
| // |
| // Format: |
| // `/namespace.Service/Method/` |
| // Example: |
| // `/tensorflow.serving.PredictionService/Predict` |
| MethodName string `protobuf:"bytes,2,opt,name=method_name,json=methodName,proto3" json:"method_name,omitempty"` |
| // Optional. The prediction input. |
| Input []byte `protobuf:"bytes,3,opt,name=input,proto3" json:"input,omitempty"` |
| } |
| |
| func (x *StreamDirectRawPredictRequest) Reset() { |
| *x = StreamDirectRawPredictRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[10] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *StreamDirectRawPredictRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*StreamDirectRawPredictRequest) ProtoMessage() {} |
| |
| func (x *StreamDirectRawPredictRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_prediction_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 StreamDirectRawPredictRequest.ProtoReflect.Descriptor instead. |
| func (*StreamDirectRawPredictRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescGZIP(), []int{10} |
| } |
| |
| func (x *StreamDirectRawPredictRequest) GetEndpoint() string { |
| if x != nil { |
| return x.Endpoint |
| } |
| return "" |
| } |
| |
| func (x *StreamDirectRawPredictRequest) GetMethodName() string { |
| if x != nil { |
| return x.MethodName |
| } |
| return "" |
| } |
| |
| func (x *StreamDirectRawPredictRequest) GetInput() []byte { |
| if x != nil { |
| return x.Input |
| } |
| return nil |
| } |
| |
| // Response message for |
| // [PredictionService.StreamDirectRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectRawPredict]. |
| type StreamDirectRawPredictResponse struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The prediction output. |
| Output []byte `protobuf:"bytes,1,opt,name=output,proto3" json:"output,omitempty"` |
| } |
| |
| func (x *StreamDirectRawPredictResponse) Reset() { |
| *x = StreamDirectRawPredictResponse{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[11] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *StreamDirectRawPredictResponse) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*StreamDirectRawPredictResponse) ProtoMessage() {} |
| |
| func (x *StreamDirectRawPredictResponse) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_prediction_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 StreamDirectRawPredictResponse.ProtoReflect.Descriptor instead. |
| func (*StreamDirectRawPredictResponse) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescGZIP(), []int{11} |
| } |
| |
| func (x *StreamDirectRawPredictResponse) GetOutput() []byte { |
| if x != nil { |
| return x.Output |
| } |
| return nil |
| } |
| |
| // Request message for |
| // [PredictionService.StreamingPredict][google.cloud.aiplatform.v1.PredictionService.StreamingPredict]. |
| // |
| // The first message must contain |
| // [endpoint][google.cloud.aiplatform.v1.StreamingPredictRequest.endpoint] field |
| // and optionally [input][]. The subsequent messages must contain [input][]. |
| type StreamingPredictRequest 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. |
| Inputs []*Tensor `protobuf:"bytes,2,rep,name=inputs,proto3" json:"inputs,omitempty"` |
| // The parameters that govern the prediction. |
| Parameters *Tensor `protobuf:"bytes,3,opt,name=parameters,proto3" json:"parameters,omitempty"` |
| } |
| |
| func (x *StreamingPredictRequest) Reset() { |
| *x = StreamingPredictRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[12] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *StreamingPredictRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*StreamingPredictRequest) ProtoMessage() {} |
| |
| func (x *StreamingPredictRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_prediction_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 StreamingPredictRequest.ProtoReflect.Descriptor instead. |
| func (*StreamingPredictRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescGZIP(), []int{12} |
| } |
| |
| func (x *StreamingPredictRequest) GetEndpoint() string { |
| if x != nil { |
| return x.Endpoint |
| } |
| return "" |
| } |
| |
| func (x *StreamingPredictRequest) GetInputs() []*Tensor { |
| if x != nil { |
| return x.Inputs |
| } |
| return nil |
| } |
| |
| func (x *StreamingPredictRequest) GetParameters() *Tensor { |
| if x != nil { |
| return x.Parameters |
| } |
| return nil |
| } |
| |
| // Response message for |
| // [PredictionService.StreamingPredict][google.cloud.aiplatform.v1.PredictionService.StreamingPredict]. |
| type StreamingPredictResponse struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The prediction output. |
| Outputs []*Tensor `protobuf:"bytes,1,rep,name=outputs,proto3" json:"outputs,omitempty"` |
| // The parameters that govern the prediction. |
| Parameters *Tensor `protobuf:"bytes,2,opt,name=parameters,proto3" json:"parameters,omitempty"` |
| } |
| |
| func (x *StreamingPredictResponse) Reset() { |
| *x = StreamingPredictResponse{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[13] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *StreamingPredictResponse) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*StreamingPredictResponse) ProtoMessage() {} |
| |
| func (x *StreamingPredictResponse) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_prediction_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 StreamingPredictResponse.ProtoReflect.Descriptor instead. |
| func (*StreamingPredictResponse) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescGZIP(), []int{13} |
| } |
| |
| func (x *StreamingPredictResponse) GetOutputs() []*Tensor { |
| if x != nil { |
| return x.Outputs |
| } |
| return nil |
| } |
| |
| func (x *StreamingPredictResponse) GetParameters() *Tensor { |
| if x != nil { |
| return x.Parameters |
| } |
| return nil |
| } |
| |
| // Request message for |
| // [PredictionService.StreamingRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamingRawPredict]. |
| // |
| // The first message must contain |
| // [endpoint][google.cloud.aiplatform.v1.StreamingRawPredictRequest.endpoint] |
| // and |
| // [method_name][google.cloud.aiplatform.v1.StreamingRawPredictRequest.method_name] |
| // fields and optionally |
| // [input][google.cloud.aiplatform.v1.StreamingRawPredictRequest.input]. The |
| // subsequent messages must contain |
| // [input][google.cloud.aiplatform.v1.StreamingRawPredictRequest.input]. |
| // [method_name][google.cloud.aiplatform.v1.StreamingRawPredictRequest.method_name] |
| // in the subsequent messages have no effect. |
| type StreamingRawPredictRequest 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"` |
| // Fully qualified name of the API method being invoked to perform |
| // predictions. |
| // |
| // Format: |
| // `/namespace.Service/Method/` |
| // Example: |
| // `/tensorflow.serving.PredictionService/Predict` |
| MethodName string `protobuf:"bytes,2,opt,name=method_name,json=methodName,proto3" json:"method_name,omitempty"` |
| // The prediction input. |
| Input []byte `protobuf:"bytes,3,opt,name=input,proto3" json:"input,omitempty"` |
| } |
| |
| func (x *StreamingRawPredictRequest) Reset() { |
| *x = StreamingRawPredictRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[14] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *StreamingRawPredictRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*StreamingRawPredictRequest) ProtoMessage() {} |
| |
| func (x *StreamingRawPredictRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_prediction_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 StreamingRawPredictRequest.ProtoReflect.Descriptor instead. |
| func (*StreamingRawPredictRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescGZIP(), []int{14} |
| } |
| |
| func (x *StreamingRawPredictRequest) GetEndpoint() string { |
| if x != nil { |
| return x.Endpoint |
| } |
| return "" |
| } |
| |
| func (x *StreamingRawPredictRequest) GetMethodName() string { |
| if x != nil { |
| return x.MethodName |
| } |
| return "" |
| } |
| |
| func (x *StreamingRawPredictRequest) GetInput() []byte { |
| if x != nil { |
| return x.Input |
| } |
| return nil |
| } |
| |
| // Response message for |
| // [PredictionService.StreamingRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamingRawPredict]. |
| type StreamingRawPredictResponse struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The prediction output. |
| Output []byte `protobuf:"bytes,1,opt,name=output,proto3" json:"output,omitempty"` |
| } |
| |
| func (x *StreamingRawPredictResponse) Reset() { |
| *x = StreamingRawPredictResponse{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[15] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *StreamingRawPredictResponse) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*StreamingRawPredictResponse) ProtoMessage() {} |
| |
| func (x *StreamingRawPredictResponse) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_prediction_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 StreamingRawPredictResponse.ProtoReflect.Descriptor instead. |
| func (*StreamingRawPredictResponse) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescGZIP(), []int{15} |
| } |
| |
| func (x *StreamingRawPredictResponse) GetOutput() []byte { |
| if x != nil { |
| return x.Output |
| } |
| return nil |
| } |
| |
| // Request message for |
| // [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]. |
| type ExplainRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The name of the Endpoint requested to serve the explanation. |
| // Format: |
| // `projects/{project}/locations/{location}/endpoints/{endpoint}` |
| Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"` |
| // Required. The instances that are the input to the explanation call. |
| // A DeployedModel may have an upper limit on the number of instances it |
| // supports per request, and when it is exceeded the explanation call errors |
| // in case of AutoML Models, or, in case of customer created Models, the |
| // behaviour is as documented by that Model. |
| // The schema of any single instance may be specified via Endpoint's |
| // DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model] |
| // [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata] |
| // [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]. |
| Instances []*structpb.Value `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"` |
| // The parameters that govern the prediction. The schema of the parameters may |
| // be specified via Endpoint's DeployedModels' [Model's |
| // ][google.cloud.aiplatform.v1.DeployedModel.model] |
| // [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata] |
| // [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]. |
| Parameters *structpb.Value `protobuf:"bytes,4,opt,name=parameters,proto3" json:"parameters,omitempty"` |
| // If specified, overrides the |
| // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] |
| // of the DeployedModel. Can be used for explaining prediction results with |
| // different configurations, such as: |
| // - Explaining top-5 predictions results as opposed to top-1; |
| // - Increasing path count or step count of the attribution methods to reduce |
| // approximate errors; |
| // - Using different baselines for explaining the prediction results. |
| ExplanationSpecOverride *ExplanationSpecOverride `protobuf:"bytes,5,opt,name=explanation_spec_override,json=explanationSpecOverride,proto3" json:"explanation_spec_override,omitempty"` |
| // If specified, this ExplainRequest will be served by the chosen |
| // DeployedModel, overriding |
| // [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split]. |
| DeployedModelId string `protobuf:"bytes,3,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"` |
| } |
| |
| func (x *ExplainRequest) Reset() { |
| *x = ExplainRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[16] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ExplainRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ExplainRequest) ProtoMessage() {} |
| |
| func (x *ExplainRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_prediction_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 ExplainRequest.ProtoReflect.Descriptor instead. |
| func (*ExplainRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescGZIP(), []int{16} |
| } |
| |
| func (x *ExplainRequest) GetEndpoint() string { |
| if x != nil { |
| return x.Endpoint |
| } |
| return "" |
| } |
| |
| func (x *ExplainRequest) GetInstances() []*structpb.Value { |
| if x != nil { |
| return x.Instances |
| } |
| return nil |
| } |
| |
| func (x *ExplainRequest) GetParameters() *structpb.Value { |
| if x != nil { |
| return x.Parameters |
| } |
| return nil |
| } |
| |
| func (x *ExplainRequest) GetExplanationSpecOverride() *ExplanationSpecOverride { |
| if x != nil { |
| return x.ExplanationSpecOverride |
| } |
| return nil |
| } |
| |
| func (x *ExplainRequest) GetDeployedModelId() string { |
| if x != nil { |
| return x.DeployedModelId |
| } |
| return "" |
| } |
| |
| // Response message for |
| // [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]. |
| type ExplainResponse struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The explanations of the Model's |
| // [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions]. |
| // |
| // It has the same number of elements as |
| // [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be |
| // explained. |
| Explanations []*Explanation `protobuf:"bytes,1,rep,name=explanations,proto3" json:"explanations,omitempty"` |
| // ID of the Endpoint's DeployedModel that served this explanation. |
| DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"` |
| // The predictions that are the output of the predictions call. |
| // Same as |
| // [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions]. |
| Predictions []*structpb.Value `protobuf:"bytes,3,rep,name=predictions,proto3" json:"predictions,omitempty"` |
| } |
| |
| func (x *ExplainResponse) Reset() { |
| *x = ExplainResponse{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[17] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ExplainResponse) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ExplainResponse) ProtoMessage() {} |
| |
| func (x *ExplainResponse) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_prediction_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 ExplainResponse.ProtoReflect.Descriptor instead. |
| func (*ExplainResponse) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescGZIP(), []int{17} |
| } |
| |
| func (x *ExplainResponse) GetExplanations() []*Explanation { |
| if x != nil { |
| return x.Explanations |
| } |
| return nil |
| } |
| |
| func (x *ExplainResponse) GetDeployedModelId() string { |
| if x != nil { |
| return x.DeployedModelId |
| } |
| return "" |
| } |
| |
| func (x *ExplainResponse) GetPredictions() []*structpb.Value { |
| if x != nil { |
| return x.Predictions |
| } |
| return nil |
| } |
| |
| // Request message for [PredictionService.CountTokens][]. |
| type CountTokensRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The name of the Endpoint requested to perform token counting. |
| // Format: |
| // `projects/{project}/locations/{location}/endpoints/{endpoint}` |
| Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"` |
| // Required. The name of the publisher model requested to serve the |
| // prediction. Format: |
| // `projects/{project}/locations/{location}/publishers/*/models/*` |
| Model string `protobuf:"bytes,3,opt,name=model,proto3" json:"model,omitempty"` |
| // Required. The instances that are the input to token counting call. |
| // Schema is identical to the prediction schema of the underlying model. |
| Instances []*structpb.Value `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"` |
| // Required. Input content. |
| Contents []*Content `protobuf:"bytes,4,rep,name=contents,proto3" json:"contents,omitempty"` |
| } |
| |
| func (x *CountTokensRequest) Reset() { |
| *x = CountTokensRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[18] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *CountTokensRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*CountTokensRequest) ProtoMessage() {} |
| |
| func (x *CountTokensRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_prediction_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 CountTokensRequest.ProtoReflect.Descriptor instead. |
| func (*CountTokensRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescGZIP(), []int{18} |
| } |
| |
| func (x *CountTokensRequest) GetEndpoint() string { |
| if x != nil { |
| return x.Endpoint |
| } |
| return "" |
| } |
| |
| func (x *CountTokensRequest) GetModel() string { |
| if x != nil { |
| return x.Model |
| } |
| return "" |
| } |
| |
| func (x *CountTokensRequest) GetInstances() []*structpb.Value { |
| if x != nil { |
| return x.Instances |
| } |
| return nil |
| } |
| |
| func (x *CountTokensRequest) GetContents() []*Content { |
| if x != nil { |
| return x.Contents |
| } |
| return nil |
| } |
| |
| // Response message for [PredictionService.CountTokens][]. |
| type CountTokensResponse struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The total number of tokens counted across all instances from the request. |
| TotalTokens int32 `protobuf:"varint,1,opt,name=total_tokens,json=totalTokens,proto3" json:"total_tokens,omitempty"` |
| // The total number of billable characters counted across all instances from |
| // the request. |
| TotalBillableCharacters int32 `protobuf:"varint,2,opt,name=total_billable_characters,json=totalBillableCharacters,proto3" json:"total_billable_characters,omitempty"` |
| } |
| |
| func (x *CountTokensResponse) Reset() { |
| *x = CountTokensResponse{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[19] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *CountTokensResponse) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*CountTokensResponse) ProtoMessage() {} |
| |
| func (x *CountTokensResponse) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_prediction_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 CountTokensResponse.ProtoReflect.Descriptor instead. |
| func (*CountTokensResponse) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescGZIP(), []int{19} |
| } |
| |
| func (x *CountTokensResponse) GetTotalTokens() int32 { |
| if x != nil { |
| return x.TotalTokens |
| } |
| return 0 |
| } |
| |
| func (x *CountTokensResponse) GetTotalBillableCharacters() int32 { |
| if x != nil { |
| return x.TotalBillableCharacters |
| } |
| return 0 |
| } |
| |
| // Request message for [PredictionService.GenerateContent]. |
| type GenerateContentRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The name of the publisher model requested to serve the |
| // prediction. Format: |
| // `projects/{project}/locations/{location}/publishers/*/models/*` |
| Model string `protobuf:"bytes,5,opt,name=model,proto3" json:"model,omitempty"` |
| // Required. The content of the current conversation with the model. |
| // |
| // For single-turn queries, this is a single instance. For multi-turn queries, |
| // this is a repeated field that contains conversation history + latest |
| // request. |
| Contents []*Content `protobuf:"bytes,2,rep,name=contents,proto3" json:"contents,omitempty"` |
| // Optional. The user provided system instructions for the model. |
| // Note: only text should be used in parts and content in each part will be in |
| // a separate paragraph. |
| SystemInstruction *Content `protobuf:"bytes,8,opt,name=system_instruction,json=systemInstruction,proto3,oneof" json:"system_instruction,omitempty"` |
| // Optional. A list of `Tools` the model may use to generate the next |
| // response. |
| // |
| // A `Tool` is a piece of code that enables the system to interact with |
| // external systems to perform an action, or set of actions, outside of |
| // knowledge and scope of the model. |
| Tools []*Tool `protobuf:"bytes,6,rep,name=tools,proto3" json:"tools,omitempty"` |
| // Optional. Per request settings for blocking unsafe content. |
| // Enforced on GenerateContentResponse.candidates. |
| SafetySettings []*SafetySetting `protobuf:"bytes,3,rep,name=safety_settings,json=safetySettings,proto3" json:"safety_settings,omitempty"` |
| // Optional. Generation config. |
| GenerationConfig *GenerationConfig `protobuf:"bytes,4,opt,name=generation_config,json=generationConfig,proto3" json:"generation_config,omitempty"` |
| } |
| |
| func (x *GenerateContentRequest) Reset() { |
| *x = GenerateContentRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[20] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *GenerateContentRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*GenerateContentRequest) ProtoMessage() {} |
| |
| func (x *GenerateContentRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_prediction_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 GenerateContentRequest.ProtoReflect.Descriptor instead. |
| func (*GenerateContentRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescGZIP(), []int{20} |
| } |
| |
| func (x *GenerateContentRequest) GetModel() string { |
| if x != nil { |
| return x.Model |
| } |
| return "" |
| } |
| |
| func (x *GenerateContentRequest) GetContents() []*Content { |
| if x != nil { |
| return x.Contents |
| } |
| return nil |
| } |
| |
| func (x *GenerateContentRequest) GetSystemInstruction() *Content { |
| if x != nil { |
| return x.SystemInstruction |
| } |
| return nil |
| } |
| |
| func (x *GenerateContentRequest) GetTools() []*Tool { |
| if x != nil { |
| return x.Tools |
| } |
| return nil |
| } |
| |
| func (x *GenerateContentRequest) GetSafetySettings() []*SafetySetting { |
| if x != nil { |
| return x.SafetySettings |
| } |
| return nil |
| } |
| |
| func (x *GenerateContentRequest) GetGenerationConfig() *GenerationConfig { |
| if x != nil { |
| return x.GenerationConfig |
| } |
| return nil |
| } |
| |
| // Response message for [PredictionService.GenerateContent]. |
| type GenerateContentResponse struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Output only. Generated candidates. |
| Candidates []*Candidate `protobuf:"bytes,2,rep,name=candidates,proto3" json:"candidates,omitempty"` |
| // Output only. Content filter results for a prompt sent in the request. |
| // Note: Sent only in the first stream chunk. |
| // Only happens when no candidates were generated due to content violations. |
| PromptFeedback *GenerateContentResponse_PromptFeedback `protobuf:"bytes,3,opt,name=prompt_feedback,json=promptFeedback,proto3" json:"prompt_feedback,omitempty"` |
| // Usage metadata about the response(s). |
| UsageMetadata *GenerateContentResponse_UsageMetadata `protobuf:"bytes,4,opt,name=usage_metadata,json=usageMetadata,proto3" json:"usage_metadata,omitempty"` |
| } |
| |
| func (x *GenerateContentResponse) Reset() { |
| *x = GenerateContentResponse{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[21] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *GenerateContentResponse) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*GenerateContentResponse) ProtoMessage() {} |
| |
| func (x *GenerateContentResponse) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_prediction_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 GenerateContentResponse.ProtoReflect.Descriptor instead. |
| func (*GenerateContentResponse) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescGZIP(), []int{21} |
| } |
| |
| func (x *GenerateContentResponse) GetCandidates() []*Candidate { |
| if x != nil { |
| return x.Candidates |
| } |
| return nil |
| } |
| |
| func (x *GenerateContentResponse) GetPromptFeedback() *GenerateContentResponse_PromptFeedback { |
| if x != nil { |
| return x.PromptFeedback |
| } |
| return nil |
| } |
| |
| func (x *GenerateContentResponse) GetUsageMetadata() *GenerateContentResponse_UsageMetadata { |
| if x != nil { |
| return x.UsageMetadata |
| } |
| return nil |
| } |
| |
| // Content filter results for a prompt sent in the request. |
| type GenerateContentResponse_PromptFeedback struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Output only. Blocked reason. |
| BlockReason GenerateContentResponse_PromptFeedback_BlockedReason `protobuf:"varint,1,opt,name=block_reason,json=blockReason,proto3,enum=google.cloud.aiplatform.v1.GenerateContentResponse_PromptFeedback_BlockedReason" json:"block_reason,omitempty"` |
| // Output only. Safety ratings. |
| SafetyRatings []*SafetyRating `protobuf:"bytes,2,rep,name=safety_ratings,json=safetyRatings,proto3" json:"safety_ratings,omitempty"` |
| // Output only. A readable block reason message. |
| BlockReasonMessage string `protobuf:"bytes,3,opt,name=block_reason_message,json=blockReasonMessage,proto3" json:"block_reason_message,omitempty"` |
| } |
| |
| func (x *GenerateContentResponse_PromptFeedback) Reset() { |
| *x = GenerateContentResponse_PromptFeedback{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[22] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *GenerateContentResponse_PromptFeedback) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*GenerateContentResponse_PromptFeedback) ProtoMessage() {} |
| |
| func (x *GenerateContentResponse_PromptFeedback) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_prediction_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 GenerateContentResponse_PromptFeedback.ProtoReflect.Descriptor instead. |
| func (*GenerateContentResponse_PromptFeedback) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescGZIP(), []int{21, 0} |
| } |
| |
| func (x *GenerateContentResponse_PromptFeedback) GetBlockReason() GenerateContentResponse_PromptFeedback_BlockedReason { |
| if x != nil { |
| return x.BlockReason |
| } |
| return GenerateContentResponse_PromptFeedback_BLOCKED_REASON_UNSPECIFIED |
| } |
| |
| func (x *GenerateContentResponse_PromptFeedback) GetSafetyRatings() []*SafetyRating { |
| if x != nil { |
| return x.SafetyRatings |
| } |
| return nil |
| } |
| |
| func (x *GenerateContentResponse_PromptFeedback) GetBlockReasonMessage() string { |
| if x != nil { |
| return x.BlockReasonMessage |
| } |
| return "" |
| } |
| |
| // Usage metadata about response(s). |
| type GenerateContentResponse_UsageMetadata struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Number of tokens in the request. |
| PromptTokenCount int32 `protobuf:"varint,1,opt,name=prompt_token_count,json=promptTokenCount,proto3" json:"prompt_token_count,omitempty"` |
| // Number of tokens in the response(s). |
| CandidatesTokenCount int32 `protobuf:"varint,2,opt,name=candidates_token_count,json=candidatesTokenCount,proto3" json:"candidates_token_count,omitempty"` |
| TotalTokenCount int32 `protobuf:"varint,3,opt,name=total_token_count,json=totalTokenCount,proto3" json:"total_token_count,omitempty"` |
| } |
| |
| func (x *GenerateContentResponse_UsageMetadata) Reset() { |
| *x = GenerateContentResponse_UsageMetadata{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[23] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *GenerateContentResponse_UsageMetadata) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*GenerateContentResponse_UsageMetadata) ProtoMessage() {} |
| |
| func (x *GenerateContentResponse_UsageMetadata) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_prediction_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 GenerateContentResponse_UsageMetadata.ProtoReflect.Descriptor instead. |
| func (*GenerateContentResponse_UsageMetadata) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescGZIP(), []int{21, 1} |
| } |
| |
| func (x *GenerateContentResponse_UsageMetadata) GetPromptTokenCount() int32 { |
| if x != nil { |
| return x.PromptTokenCount |
| } |
| return 0 |
| } |
| |
| func (x *GenerateContentResponse_UsageMetadata) GetCandidatesTokenCount() int32 { |
| if x != nil { |
| return x.CandidatesTokenCount |
| } |
| return 0 |
| } |
| |
| func (x *GenerateContentResponse_UsageMetadata) GetTotalTokenCount() int32 { |
| if x != nil { |
| return x.TotalTokenCount |
| } |
| return 0 |
| } |
| |
| var File_google_cloud_aiplatform_v1_prediction_service_proto protoreflect.FileDescriptor |
| |
| var file_google_cloud_aiplatform_v1_prediction_service_proto_rawDesc = []byte{ |
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| } |
| |
| var ( |
| file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescOnce sync.Once |
| file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescData = file_google_cloud_aiplatform_v1_prediction_service_proto_rawDesc |
| ) |
| |
| func file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescGZIP() []byte { |
| file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescOnce.Do(func() { |
| file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescData) |
| }) |
| return file_google_cloud_aiplatform_v1_prediction_service_proto_rawDescData |
| } |
| |
| var file_google_cloud_aiplatform_v1_prediction_service_proto_enumTypes = make([]protoimpl.EnumInfo, 1) |
| var file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes = make([]protoimpl.MessageInfo, 24) |
| var file_google_cloud_aiplatform_v1_prediction_service_proto_goTypes = []interface{}{ |
| (GenerateContentResponse_PromptFeedback_BlockedReason)(0), // 0: google.cloud.aiplatform.v1.GenerateContentResponse.PromptFeedback.BlockedReason |
| (*PredictRequest)(nil), // 1: google.cloud.aiplatform.v1.PredictRequest |
| (*PredictResponse)(nil), // 2: google.cloud.aiplatform.v1.PredictResponse |
| (*RawPredictRequest)(nil), // 3: google.cloud.aiplatform.v1.RawPredictRequest |
| (*StreamRawPredictRequest)(nil), // 4: google.cloud.aiplatform.v1.StreamRawPredictRequest |
| (*DirectPredictRequest)(nil), // 5: google.cloud.aiplatform.v1.DirectPredictRequest |
| (*DirectPredictResponse)(nil), // 6: google.cloud.aiplatform.v1.DirectPredictResponse |
| (*DirectRawPredictRequest)(nil), // 7: google.cloud.aiplatform.v1.DirectRawPredictRequest |
| (*DirectRawPredictResponse)(nil), // 8: google.cloud.aiplatform.v1.DirectRawPredictResponse |
| (*StreamDirectPredictRequest)(nil), // 9: google.cloud.aiplatform.v1.StreamDirectPredictRequest |
| (*StreamDirectPredictResponse)(nil), // 10: google.cloud.aiplatform.v1.StreamDirectPredictResponse |
| (*StreamDirectRawPredictRequest)(nil), // 11: google.cloud.aiplatform.v1.StreamDirectRawPredictRequest |
| (*StreamDirectRawPredictResponse)(nil), // 12: google.cloud.aiplatform.v1.StreamDirectRawPredictResponse |
| (*StreamingPredictRequest)(nil), // 13: google.cloud.aiplatform.v1.StreamingPredictRequest |
| (*StreamingPredictResponse)(nil), // 14: google.cloud.aiplatform.v1.StreamingPredictResponse |
| (*StreamingRawPredictRequest)(nil), // 15: google.cloud.aiplatform.v1.StreamingRawPredictRequest |
| (*StreamingRawPredictResponse)(nil), // 16: google.cloud.aiplatform.v1.StreamingRawPredictResponse |
| (*ExplainRequest)(nil), // 17: google.cloud.aiplatform.v1.ExplainRequest |
| (*ExplainResponse)(nil), // 18: google.cloud.aiplatform.v1.ExplainResponse |
| (*CountTokensRequest)(nil), // 19: google.cloud.aiplatform.v1.CountTokensRequest |
| (*CountTokensResponse)(nil), // 20: google.cloud.aiplatform.v1.CountTokensResponse |
| (*GenerateContentRequest)(nil), // 21: google.cloud.aiplatform.v1.GenerateContentRequest |
| (*GenerateContentResponse)(nil), // 22: google.cloud.aiplatform.v1.GenerateContentResponse |
| (*GenerateContentResponse_PromptFeedback)(nil), // 23: google.cloud.aiplatform.v1.GenerateContentResponse.PromptFeedback |
| (*GenerateContentResponse_UsageMetadata)(nil), // 24: google.cloud.aiplatform.v1.GenerateContentResponse.UsageMetadata |
| (*structpb.Value)(nil), // 25: google.protobuf.Value |
| (*httpbody.HttpBody)(nil), // 26: google.api.HttpBody |
| (*Tensor)(nil), // 27: google.cloud.aiplatform.v1.Tensor |
| (*ExplanationSpecOverride)(nil), // 28: google.cloud.aiplatform.v1.ExplanationSpecOverride |
| (*Explanation)(nil), // 29: google.cloud.aiplatform.v1.Explanation |
| (*Content)(nil), // 30: google.cloud.aiplatform.v1.Content |
| (*Tool)(nil), // 31: google.cloud.aiplatform.v1.Tool |
| (*SafetySetting)(nil), // 32: google.cloud.aiplatform.v1.SafetySetting |
| (*GenerationConfig)(nil), // 33: google.cloud.aiplatform.v1.GenerationConfig |
| (*Candidate)(nil), // 34: google.cloud.aiplatform.v1.Candidate |
| (*SafetyRating)(nil), // 35: google.cloud.aiplatform.v1.SafetyRating |
| } |
| var file_google_cloud_aiplatform_v1_prediction_service_proto_depIdxs = []int32{ |
| 25, // 0: google.cloud.aiplatform.v1.PredictRequest.instances:type_name -> google.protobuf.Value |
| 25, // 1: google.cloud.aiplatform.v1.PredictRequest.parameters:type_name -> google.protobuf.Value |
| 25, // 2: google.cloud.aiplatform.v1.PredictResponse.predictions:type_name -> google.protobuf.Value |
| 25, // 3: google.cloud.aiplatform.v1.PredictResponse.metadata:type_name -> google.protobuf.Value |
| 26, // 4: google.cloud.aiplatform.v1.RawPredictRequest.http_body:type_name -> google.api.HttpBody |
| 26, // 5: google.cloud.aiplatform.v1.StreamRawPredictRequest.http_body:type_name -> google.api.HttpBody |
| 27, // 6: google.cloud.aiplatform.v1.DirectPredictRequest.inputs:type_name -> google.cloud.aiplatform.v1.Tensor |
| 27, // 7: google.cloud.aiplatform.v1.DirectPredictRequest.parameters:type_name -> google.cloud.aiplatform.v1.Tensor |
| 27, // 8: google.cloud.aiplatform.v1.DirectPredictResponse.outputs:type_name -> google.cloud.aiplatform.v1.Tensor |
| 27, // 9: google.cloud.aiplatform.v1.DirectPredictResponse.parameters:type_name -> google.cloud.aiplatform.v1.Tensor |
| 27, // 10: google.cloud.aiplatform.v1.StreamDirectPredictRequest.inputs:type_name -> google.cloud.aiplatform.v1.Tensor |
| 27, // 11: google.cloud.aiplatform.v1.StreamDirectPredictRequest.parameters:type_name -> google.cloud.aiplatform.v1.Tensor |
| 27, // 12: google.cloud.aiplatform.v1.StreamDirectPredictResponse.outputs:type_name -> google.cloud.aiplatform.v1.Tensor |
| 27, // 13: google.cloud.aiplatform.v1.StreamDirectPredictResponse.parameters:type_name -> google.cloud.aiplatform.v1.Tensor |
| 27, // 14: google.cloud.aiplatform.v1.StreamingPredictRequest.inputs:type_name -> google.cloud.aiplatform.v1.Tensor |
| 27, // 15: google.cloud.aiplatform.v1.StreamingPredictRequest.parameters:type_name -> google.cloud.aiplatform.v1.Tensor |
| 27, // 16: google.cloud.aiplatform.v1.StreamingPredictResponse.outputs:type_name -> google.cloud.aiplatform.v1.Tensor |
| 27, // 17: google.cloud.aiplatform.v1.StreamingPredictResponse.parameters:type_name -> google.cloud.aiplatform.v1.Tensor |
| 25, // 18: google.cloud.aiplatform.v1.ExplainRequest.instances:type_name -> google.protobuf.Value |
| 25, // 19: google.cloud.aiplatform.v1.ExplainRequest.parameters:type_name -> google.protobuf.Value |
| 28, // 20: google.cloud.aiplatform.v1.ExplainRequest.explanation_spec_override:type_name -> google.cloud.aiplatform.v1.ExplanationSpecOverride |
| 29, // 21: google.cloud.aiplatform.v1.ExplainResponse.explanations:type_name -> google.cloud.aiplatform.v1.Explanation |
| 25, // 22: google.cloud.aiplatform.v1.ExplainResponse.predictions:type_name -> google.protobuf.Value |
| 25, // 23: google.cloud.aiplatform.v1.CountTokensRequest.instances:type_name -> google.protobuf.Value |
| 30, // 24: google.cloud.aiplatform.v1.CountTokensRequest.contents:type_name -> google.cloud.aiplatform.v1.Content |
| 30, // 25: google.cloud.aiplatform.v1.GenerateContentRequest.contents:type_name -> google.cloud.aiplatform.v1.Content |
| 30, // 26: google.cloud.aiplatform.v1.GenerateContentRequest.system_instruction:type_name -> google.cloud.aiplatform.v1.Content |
| 31, // 27: google.cloud.aiplatform.v1.GenerateContentRequest.tools:type_name -> google.cloud.aiplatform.v1.Tool |
| 32, // 28: google.cloud.aiplatform.v1.GenerateContentRequest.safety_settings:type_name -> google.cloud.aiplatform.v1.SafetySetting |
| 33, // 29: google.cloud.aiplatform.v1.GenerateContentRequest.generation_config:type_name -> google.cloud.aiplatform.v1.GenerationConfig |
| 34, // 30: google.cloud.aiplatform.v1.GenerateContentResponse.candidates:type_name -> google.cloud.aiplatform.v1.Candidate |
| 23, // 31: google.cloud.aiplatform.v1.GenerateContentResponse.prompt_feedback:type_name -> google.cloud.aiplatform.v1.GenerateContentResponse.PromptFeedback |
| 24, // 32: google.cloud.aiplatform.v1.GenerateContentResponse.usage_metadata:type_name -> google.cloud.aiplatform.v1.GenerateContentResponse.UsageMetadata |
| 0, // 33: google.cloud.aiplatform.v1.GenerateContentResponse.PromptFeedback.block_reason:type_name -> google.cloud.aiplatform.v1.GenerateContentResponse.PromptFeedback.BlockedReason |
| 35, // 34: google.cloud.aiplatform.v1.GenerateContentResponse.PromptFeedback.safety_ratings:type_name -> google.cloud.aiplatform.v1.SafetyRating |
| 1, // 35: google.cloud.aiplatform.v1.PredictionService.Predict:input_type -> google.cloud.aiplatform.v1.PredictRequest |
| 3, // 36: google.cloud.aiplatform.v1.PredictionService.RawPredict:input_type -> google.cloud.aiplatform.v1.RawPredictRequest |
| 4, // 37: google.cloud.aiplatform.v1.PredictionService.StreamRawPredict:input_type -> google.cloud.aiplatform.v1.StreamRawPredictRequest |
| 5, // 38: google.cloud.aiplatform.v1.PredictionService.DirectPredict:input_type -> google.cloud.aiplatform.v1.DirectPredictRequest |
| 7, // 39: google.cloud.aiplatform.v1.PredictionService.DirectRawPredict:input_type -> google.cloud.aiplatform.v1.DirectRawPredictRequest |
| 9, // 40: google.cloud.aiplatform.v1.PredictionService.StreamDirectPredict:input_type -> google.cloud.aiplatform.v1.StreamDirectPredictRequest |
| 11, // 41: google.cloud.aiplatform.v1.PredictionService.StreamDirectRawPredict:input_type -> google.cloud.aiplatform.v1.StreamDirectRawPredictRequest |
| 13, // 42: google.cloud.aiplatform.v1.PredictionService.StreamingPredict:input_type -> google.cloud.aiplatform.v1.StreamingPredictRequest |
| 13, // 43: google.cloud.aiplatform.v1.PredictionService.ServerStreamingPredict:input_type -> google.cloud.aiplatform.v1.StreamingPredictRequest |
| 15, // 44: google.cloud.aiplatform.v1.PredictionService.StreamingRawPredict:input_type -> google.cloud.aiplatform.v1.StreamingRawPredictRequest |
| 17, // 45: google.cloud.aiplatform.v1.PredictionService.Explain:input_type -> google.cloud.aiplatform.v1.ExplainRequest |
| 21, // 46: google.cloud.aiplatform.v1.PredictionService.GenerateContent:input_type -> google.cloud.aiplatform.v1.GenerateContentRequest |
| 21, // 47: google.cloud.aiplatform.v1.PredictionService.StreamGenerateContent:input_type -> google.cloud.aiplatform.v1.GenerateContentRequest |
| 2, // 48: google.cloud.aiplatform.v1.PredictionService.Predict:output_type -> google.cloud.aiplatform.v1.PredictResponse |
| 26, // 49: google.cloud.aiplatform.v1.PredictionService.RawPredict:output_type -> google.api.HttpBody |
| 26, // 50: google.cloud.aiplatform.v1.PredictionService.StreamRawPredict:output_type -> google.api.HttpBody |
| 6, // 51: google.cloud.aiplatform.v1.PredictionService.DirectPredict:output_type -> google.cloud.aiplatform.v1.DirectPredictResponse |
| 8, // 52: google.cloud.aiplatform.v1.PredictionService.DirectRawPredict:output_type -> google.cloud.aiplatform.v1.DirectRawPredictResponse |
| 10, // 53: google.cloud.aiplatform.v1.PredictionService.StreamDirectPredict:output_type -> google.cloud.aiplatform.v1.StreamDirectPredictResponse |
| 12, // 54: google.cloud.aiplatform.v1.PredictionService.StreamDirectRawPredict:output_type -> google.cloud.aiplatform.v1.StreamDirectRawPredictResponse |
| 14, // 55: google.cloud.aiplatform.v1.PredictionService.StreamingPredict:output_type -> google.cloud.aiplatform.v1.StreamingPredictResponse |
| 14, // 56: google.cloud.aiplatform.v1.PredictionService.ServerStreamingPredict:output_type -> google.cloud.aiplatform.v1.StreamingPredictResponse |
| 16, // 57: google.cloud.aiplatform.v1.PredictionService.StreamingRawPredict:output_type -> google.cloud.aiplatform.v1.StreamingRawPredictResponse |
| 18, // 58: google.cloud.aiplatform.v1.PredictionService.Explain:output_type -> google.cloud.aiplatform.v1.ExplainResponse |
| 22, // 59: google.cloud.aiplatform.v1.PredictionService.GenerateContent:output_type -> google.cloud.aiplatform.v1.GenerateContentResponse |
| 22, // 60: google.cloud.aiplatform.v1.PredictionService.StreamGenerateContent:output_type -> google.cloud.aiplatform.v1.GenerateContentResponse |
| 48, // [48:61] is the sub-list for method output_type |
| 35, // [35:48] is the sub-list for method input_type |
| 35, // [35:35] is the sub-list for extension type_name |
| 35, // [35:35] is the sub-list for extension extendee |
| 0, // [0:35] is the sub-list for field type_name |
| } |
| |
| func init() { file_google_cloud_aiplatform_v1_prediction_service_proto_init() } |
| func file_google_cloud_aiplatform_v1_prediction_service_proto_init() { |
| if File_google_cloud_aiplatform_v1_prediction_service_proto != nil { |
| return |
| } |
| file_google_cloud_aiplatform_v1_content_proto_init() |
| file_google_cloud_aiplatform_v1_explanation_proto_init() |
| file_google_cloud_aiplatform_v1_tool_proto_init() |
| file_google_cloud_aiplatform_v1_types_proto_init() |
| if !protoimpl.UnsafeEnabled { |
| file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*PredictRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*PredictResponse); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*RawPredictRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*StreamRawPredictRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*DirectPredictRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*DirectPredictResponse); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[6].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*DirectRawPredictRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[7].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*DirectRawPredictResponse); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[8].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*StreamDirectPredictRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[9].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*StreamDirectPredictResponse); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[10].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*StreamDirectRawPredictRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[11].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*StreamDirectRawPredictResponse); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[12].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*StreamingPredictRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[13].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*StreamingPredictResponse); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[14].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*StreamingRawPredictRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[15].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*StreamingRawPredictResponse); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[16].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_v1_prediction_service_proto_msgTypes[17].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ExplainResponse); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[18].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*CountTokensRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[19].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*CountTokensResponse); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[20].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*GenerateContentRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[21].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*GenerateContentResponse); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[22].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*GenerateContentResponse_PromptFeedback); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[23].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*GenerateContentResponse_UsageMetadata); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| } |
| file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes[20].OneofWrappers = []interface{}{} |
| type x struct{} |
| out := protoimpl.TypeBuilder{ |
| File: protoimpl.DescBuilder{ |
| GoPackagePath: reflect.TypeOf(x{}).PkgPath(), |
| RawDescriptor: file_google_cloud_aiplatform_v1_prediction_service_proto_rawDesc, |
| NumEnums: 1, |
| NumMessages: 24, |
| NumExtensions: 0, |
| NumServices: 1, |
| }, |
| GoTypes: file_google_cloud_aiplatform_v1_prediction_service_proto_goTypes, |
| DependencyIndexes: file_google_cloud_aiplatform_v1_prediction_service_proto_depIdxs, |
| EnumInfos: file_google_cloud_aiplatform_v1_prediction_service_proto_enumTypes, |
| MessageInfos: file_google_cloud_aiplatform_v1_prediction_service_proto_msgTypes, |
| }.Build() |
| File_google_cloud_aiplatform_v1_prediction_service_proto = out.File |
| file_google_cloud_aiplatform_v1_prediction_service_proto_rawDesc = nil |
| file_google_cloud_aiplatform_v1_prediction_service_proto_goTypes = nil |
| file_google_cloud_aiplatform_v1_prediction_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 |
| |
| // PredictionServiceClient is the client API for PredictionService service. |
| // |
| // For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream. |
| type PredictionServiceClient interface { |
| // Perform an online prediction. |
| Predict(ctx context.Context, in *PredictRequest, opts ...grpc.CallOption) (*PredictResponse, error) |
| // Perform an online prediction with an arbitrary HTTP payload. |
| // |
| // The response includes the following HTTP headers: |
| // |
| // * `X-Vertex-AI-Endpoint-Id`: ID of the |
| // [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this |
| // prediction. |
| // |
| // * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's |
| // [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] that served this |
| // prediction. |
| RawPredict(ctx context.Context, in *RawPredictRequest, opts ...grpc.CallOption) (*httpbody.HttpBody, error) |
| // Perform a streaming online prediction with an arbitrary HTTP payload. |
| StreamRawPredict(ctx context.Context, in *StreamRawPredictRequest, opts ...grpc.CallOption) (PredictionService_StreamRawPredictClient, error) |
| // Perform an unary online prediction request to a gRPC model server for |
| // Vertex first-party products and frameworks. |
| DirectPredict(ctx context.Context, in *DirectPredictRequest, opts ...grpc.CallOption) (*DirectPredictResponse, error) |
| // Perform an unary online prediction request to a gRPC model server for |
| // custom containers. |
| DirectRawPredict(ctx context.Context, in *DirectRawPredictRequest, opts ...grpc.CallOption) (*DirectRawPredictResponse, error) |
| // Perform a streaming online prediction request to a gRPC model server for |
| // Vertex first-party products and frameworks. |
| StreamDirectPredict(ctx context.Context, opts ...grpc.CallOption) (PredictionService_StreamDirectPredictClient, error) |
| // Perform a streaming online prediction request to a gRPC model server for |
| // custom containers. |
| StreamDirectRawPredict(ctx context.Context, opts ...grpc.CallOption) (PredictionService_StreamDirectRawPredictClient, error) |
| // Perform a streaming online prediction request for Vertex first-party |
| // products and frameworks. |
| StreamingPredict(ctx context.Context, opts ...grpc.CallOption) (PredictionService_StreamingPredictClient, error) |
| // Perform a server-side streaming online prediction request for Vertex |
| // LLM streaming. |
| ServerStreamingPredict(ctx context.Context, in *StreamingPredictRequest, opts ...grpc.CallOption) (PredictionService_ServerStreamingPredictClient, error) |
| // Perform a streaming online prediction request through gRPC. |
| StreamingRawPredict(ctx context.Context, opts ...grpc.CallOption) (PredictionService_StreamingRawPredictClient, error) |
| // Perform an online explanation. |
| // |
| // If |
| // [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id] |
| // is specified, the corresponding DeployModel must have |
| // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] |
| // populated. If |
| // [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id] |
| // is not specified, all DeployedModels must have |
| // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] |
| // populated. |
| Explain(ctx context.Context, in *ExplainRequest, opts ...grpc.CallOption) (*ExplainResponse, error) |
| // Generate content with multimodal inputs. |
| GenerateContent(ctx context.Context, in *GenerateContentRequest, opts ...grpc.CallOption) (*GenerateContentResponse, error) |
| // Generate content with multimodal inputs with streaming support. |
| StreamGenerateContent(ctx context.Context, in *GenerateContentRequest, opts ...grpc.CallOption) (PredictionService_StreamGenerateContentClient, error) |
| } |
| |
| type predictionServiceClient struct { |
| cc grpc.ClientConnInterface |
| } |
| |
| func NewPredictionServiceClient(cc grpc.ClientConnInterface) PredictionServiceClient { |
| return &predictionServiceClient{cc} |
| } |
| |
| func (c *predictionServiceClient) Predict(ctx context.Context, in *PredictRequest, opts ...grpc.CallOption) (*PredictResponse, error) { |
| out := new(PredictResponse) |
| err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.PredictionService/Predict", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| 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.v1.PredictionService/RawPredict", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *predictionServiceClient) StreamRawPredict(ctx context.Context, in *StreamRawPredictRequest, opts ...grpc.CallOption) (PredictionService_StreamRawPredictClient, error) { |
| stream, err := c.cc.NewStream(ctx, &_PredictionService_serviceDesc.Streams[0], "/google.cloud.aiplatform.v1.PredictionService/StreamRawPredict", opts...) |
| if err != nil { |
| return nil, err |
| } |
| x := &predictionServiceStreamRawPredictClient{stream} |
| if err := x.ClientStream.SendMsg(in); err != nil { |
| return nil, err |
| } |
| if err := x.ClientStream.CloseSend(); err != nil { |
| return nil, err |
| } |
| return x, nil |
| } |
| |
| type PredictionService_StreamRawPredictClient interface { |
| Recv() (*httpbody.HttpBody, error) |
| grpc.ClientStream |
| } |
| |
| type predictionServiceStreamRawPredictClient struct { |
| grpc.ClientStream |
| } |
| |
| func (x *predictionServiceStreamRawPredictClient) Recv() (*httpbody.HttpBody, error) { |
| m := new(httpbody.HttpBody) |
| if err := x.ClientStream.RecvMsg(m); err != nil { |
| return nil, err |
| } |
| return m, nil |
| } |
| |
| func (c *predictionServiceClient) DirectPredict(ctx context.Context, in *DirectPredictRequest, opts ...grpc.CallOption) (*DirectPredictResponse, error) { |
| out := new(DirectPredictResponse) |
| err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.PredictionService/DirectPredict", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *predictionServiceClient) DirectRawPredict(ctx context.Context, in *DirectRawPredictRequest, opts ...grpc.CallOption) (*DirectRawPredictResponse, error) { |
| out := new(DirectRawPredictResponse) |
| err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.PredictionService/DirectRawPredict", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *predictionServiceClient) StreamDirectPredict(ctx context.Context, opts ...grpc.CallOption) (PredictionService_StreamDirectPredictClient, error) { |
| stream, err := c.cc.NewStream(ctx, &_PredictionService_serviceDesc.Streams[1], "/google.cloud.aiplatform.v1.PredictionService/StreamDirectPredict", opts...) |
| if err != nil { |
| return nil, err |
| } |
| x := &predictionServiceStreamDirectPredictClient{stream} |
| return x, nil |
| } |
| |
| type PredictionService_StreamDirectPredictClient interface { |
| Send(*StreamDirectPredictRequest) error |
| Recv() (*StreamDirectPredictResponse, error) |
| grpc.ClientStream |
| } |
| |
| type predictionServiceStreamDirectPredictClient struct { |
| grpc.ClientStream |
| } |
| |
| func (x *predictionServiceStreamDirectPredictClient) Send(m *StreamDirectPredictRequest) error { |
| return x.ClientStream.SendMsg(m) |
| } |
| |
| func (x *predictionServiceStreamDirectPredictClient) Recv() (*StreamDirectPredictResponse, error) { |
| m := new(StreamDirectPredictResponse) |
| if err := x.ClientStream.RecvMsg(m); err != nil { |
| return nil, err |
| } |
| return m, nil |
| } |
| |
| func (c *predictionServiceClient) StreamDirectRawPredict(ctx context.Context, opts ...grpc.CallOption) (PredictionService_StreamDirectRawPredictClient, error) { |
| stream, err := c.cc.NewStream(ctx, &_PredictionService_serviceDesc.Streams[2], "/google.cloud.aiplatform.v1.PredictionService/StreamDirectRawPredict", opts...) |
| if err != nil { |
| return nil, err |
| } |
| x := &predictionServiceStreamDirectRawPredictClient{stream} |
| return x, nil |
| } |
| |
| type PredictionService_StreamDirectRawPredictClient interface { |
| Send(*StreamDirectRawPredictRequest) error |
| Recv() (*StreamDirectRawPredictResponse, error) |
| grpc.ClientStream |
| } |
| |
| type predictionServiceStreamDirectRawPredictClient struct { |
| grpc.ClientStream |
| } |
| |
| func (x *predictionServiceStreamDirectRawPredictClient) Send(m *StreamDirectRawPredictRequest) error { |
| return x.ClientStream.SendMsg(m) |
| } |
| |
| func (x *predictionServiceStreamDirectRawPredictClient) Recv() (*StreamDirectRawPredictResponse, error) { |
| m := new(StreamDirectRawPredictResponse) |
| if err := x.ClientStream.RecvMsg(m); err != nil { |
| return nil, err |
| } |
| return m, nil |
| } |
| |
| func (c *predictionServiceClient) StreamingPredict(ctx context.Context, opts ...grpc.CallOption) (PredictionService_StreamingPredictClient, error) { |
| stream, err := c.cc.NewStream(ctx, &_PredictionService_serviceDesc.Streams[3], "/google.cloud.aiplatform.v1.PredictionService/StreamingPredict", opts...) |
| if err != nil { |
| return nil, err |
| } |
| x := &predictionServiceStreamingPredictClient{stream} |
| return x, nil |
| } |
| |
| type PredictionService_StreamingPredictClient interface { |
| Send(*StreamingPredictRequest) error |
| Recv() (*StreamingPredictResponse, error) |
| grpc.ClientStream |
| } |
| |
| type predictionServiceStreamingPredictClient struct { |
| grpc.ClientStream |
| } |
| |
| func (x *predictionServiceStreamingPredictClient) Send(m *StreamingPredictRequest) error { |
| return x.ClientStream.SendMsg(m) |
| } |
| |
| func (x *predictionServiceStreamingPredictClient) Recv() (*StreamingPredictResponse, error) { |
| m := new(StreamingPredictResponse) |
| if err := x.ClientStream.RecvMsg(m); err != nil { |
| return nil, err |
| } |
| return m, nil |
| } |
| |
| func (c *predictionServiceClient) ServerStreamingPredict(ctx context.Context, in *StreamingPredictRequest, opts ...grpc.CallOption) (PredictionService_ServerStreamingPredictClient, error) { |
| stream, err := c.cc.NewStream(ctx, &_PredictionService_serviceDesc.Streams[4], "/google.cloud.aiplatform.v1.PredictionService/ServerStreamingPredict", opts...) |
| if err != nil { |
| return nil, err |
| } |
| x := &predictionServiceServerStreamingPredictClient{stream} |
| if err := x.ClientStream.SendMsg(in); err != nil { |
| return nil, err |
| } |
| if err := x.ClientStream.CloseSend(); err != nil { |
| return nil, err |
| } |
| return x, nil |
| } |
| |
| type PredictionService_ServerStreamingPredictClient interface { |
| Recv() (*StreamingPredictResponse, error) |
| grpc.ClientStream |
| } |
| |
| type predictionServiceServerStreamingPredictClient struct { |
| grpc.ClientStream |
| } |
| |
| func (x *predictionServiceServerStreamingPredictClient) Recv() (*StreamingPredictResponse, error) { |
| m := new(StreamingPredictResponse) |
| if err := x.ClientStream.RecvMsg(m); err != nil { |
| return nil, err |
| } |
| return m, nil |
| } |
| |
| func (c *predictionServiceClient) StreamingRawPredict(ctx context.Context, opts ...grpc.CallOption) (PredictionService_StreamingRawPredictClient, error) { |
| stream, err := c.cc.NewStream(ctx, &_PredictionService_serviceDesc.Streams[5], "/google.cloud.aiplatform.v1.PredictionService/StreamingRawPredict", opts...) |
| if err != nil { |
| return nil, err |
| } |
| x := &predictionServiceStreamingRawPredictClient{stream} |
| return x, nil |
| } |
| |
| type PredictionService_StreamingRawPredictClient interface { |
| Send(*StreamingRawPredictRequest) error |
| Recv() (*StreamingRawPredictResponse, error) |
| grpc.ClientStream |
| } |
| |
| type predictionServiceStreamingRawPredictClient struct { |
| grpc.ClientStream |
| } |
| |
| func (x *predictionServiceStreamingRawPredictClient) Send(m *StreamingRawPredictRequest) error { |
| return x.ClientStream.SendMsg(m) |
| } |
| |
| func (x *predictionServiceStreamingRawPredictClient) Recv() (*StreamingRawPredictResponse, error) { |
| m := new(StreamingRawPredictResponse) |
| if err := x.ClientStream.RecvMsg(m); err != nil { |
| return nil, err |
| } |
| return m, 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.v1.PredictionService/Explain", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *predictionServiceClient) GenerateContent(ctx context.Context, in *GenerateContentRequest, opts ...grpc.CallOption) (*GenerateContentResponse, error) { |
| out := new(GenerateContentResponse) |
| err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.PredictionService/GenerateContent", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *predictionServiceClient) StreamGenerateContent(ctx context.Context, in *GenerateContentRequest, opts ...grpc.CallOption) (PredictionService_StreamGenerateContentClient, error) { |
| stream, err := c.cc.NewStream(ctx, &_PredictionService_serviceDesc.Streams[6], "/google.cloud.aiplatform.v1.PredictionService/StreamGenerateContent", opts...) |
| if err != nil { |
| return nil, err |
| } |
| x := &predictionServiceStreamGenerateContentClient{stream} |
| if err := x.ClientStream.SendMsg(in); err != nil { |
| return nil, err |
| } |
| if err := x.ClientStream.CloseSend(); err != nil { |
| return nil, err |
| } |
| return x, nil |
| } |
| |
| type PredictionService_StreamGenerateContentClient interface { |
| Recv() (*GenerateContentResponse, error) |
| grpc.ClientStream |
| } |
| |
| type predictionServiceStreamGenerateContentClient struct { |
| grpc.ClientStream |
| } |
| |
| func (x *predictionServiceStreamGenerateContentClient) Recv() (*GenerateContentResponse, error) { |
| m := new(GenerateContentResponse) |
| if err := x.ClientStream.RecvMsg(m); err != nil { |
| return nil, err |
| } |
| return m, nil |
| } |
| |
| // PredictionServiceServer is the server API for PredictionService service. |
| type PredictionServiceServer interface { |
| // Perform an online prediction. |
| Predict(context.Context, *PredictRequest) (*PredictResponse, error) |
| // Perform an online prediction with an arbitrary HTTP payload. |
| // |
| // The response includes the following HTTP headers: |
| // |
| // * `X-Vertex-AI-Endpoint-Id`: ID of the |
| // [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this |
| // prediction. |
| // |
| // * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's |
| // [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] that served this |
| // prediction. |
| RawPredict(context.Context, *RawPredictRequest) (*httpbody.HttpBody, error) |
| // Perform a streaming online prediction with an arbitrary HTTP payload. |
| StreamRawPredict(*StreamRawPredictRequest, PredictionService_StreamRawPredictServer) error |
| // Perform an unary online prediction request to a gRPC model server for |
| // Vertex first-party products and frameworks. |
| DirectPredict(context.Context, *DirectPredictRequest) (*DirectPredictResponse, error) |
| // Perform an unary online prediction request to a gRPC model server for |
| // custom containers. |
| DirectRawPredict(context.Context, *DirectRawPredictRequest) (*DirectRawPredictResponse, error) |
| // Perform a streaming online prediction request to a gRPC model server for |
| // Vertex first-party products and frameworks. |
| StreamDirectPredict(PredictionService_StreamDirectPredictServer) error |
| // Perform a streaming online prediction request to a gRPC model server for |
| // custom containers. |
| StreamDirectRawPredict(PredictionService_StreamDirectRawPredictServer) error |
| // Perform a streaming online prediction request for Vertex first-party |
| // products and frameworks. |
| StreamingPredict(PredictionService_StreamingPredictServer) error |
| // Perform a server-side streaming online prediction request for Vertex |
| // LLM streaming. |
| ServerStreamingPredict(*StreamingPredictRequest, PredictionService_ServerStreamingPredictServer) error |
| // Perform a streaming online prediction request through gRPC. |
| StreamingRawPredict(PredictionService_StreamingRawPredictServer) error |
| // Perform an online explanation. |
| // |
| // If |
| // [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id] |
| // is specified, the corresponding DeployModel must have |
| // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] |
| // populated. If |
| // [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id] |
| // is not specified, all DeployedModels must have |
| // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] |
| // populated. |
| Explain(context.Context, *ExplainRequest) (*ExplainResponse, error) |
| // Generate content with multimodal inputs. |
| GenerateContent(context.Context, *GenerateContentRequest) (*GenerateContentResponse, error) |
| // Generate content with multimodal inputs with streaming support. |
| StreamGenerateContent(*GenerateContentRequest, PredictionService_StreamGenerateContentServer) error |
| } |
| |
| // UnimplementedPredictionServiceServer can be embedded to have forward compatible implementations. |
| 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) StreamRawPredict(*StreamRawPredictRequest, PredictionService_StreamRawPredictServer) error { |
| return status.Errorf(codes.Unimplemented, "method StreamRawPredict not implemented") |
| } |
| func (*UnimplementedPredictionServiceServer) DirectPredict(context.Context, *DirectPredictRequest) (*DirectPredictResponse, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method DirectPredict not implemented") |
| } |
| func (*UnimplementedPredictionServiceServer) DirectRawPredict(context.Context, *DirectRawPredictRequest) (*DirectRawPredictResponse, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method DirectRawPredict not implemented") |
| } |
| func (*UnimplementedPredictionServiceServer) StreamDirectPredict(PredictionService_StreamDirectPredictServer) error { |
| return status.Errorf(codes.Unimplemented, "method StreamDirectPredict not implemented") |
| } |
| func (*UnimplementedPredictionServiceServer) StreamDirectRawPredict(PredictionService_StreamDirectRawPredictServer) error { |
| return status.Errorf(codes.Unimplemented, "method StreamDirectRawPredict not implemented") |
| } |
| func (*UnimplementedPredictionServiceServer) StreamingPredict(PredictionService_StreamingPredictServer) error { |
| return status.Errorf(codes.Unimplemented, "method StreamingPredict not implemented") |
| } |
| func (*UnimplementedPredictionServiceServer) ServerStreamingPredict(*StreamingPredictRequest, PredictionService_ServerStreamingPredictServer) error { |
| return status.Errorf(codes.Unimplemented, "method ServerStreamingPredict not implemented") |
| } |
| func (*UnimplementedPredictionServiceServer) StreamingRawPredict(PredictionService_StreamingRawPredictServer) error { |
| return status.Errorf(codes.Unimplemented, "method StreamingRawPredict not implemented") |
| } |
| func (*UnimplementedPredictionServiceServer) Explain(context.Context, *ExplainRequest) (*ExplainResponse, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method Explain not implemented") |
| } |
| func (*UnimplementedPredictionServiceServer) GenerateContent(context.Context, *GenerateContentRequest) (*GenerateContentResponse, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method GenerateContent not implemented") |
| } |
| func (*UnimplementedPredictionServiceServer) StreamGenerateContent(*GenerateContentRequest, PredictionService_StreamGenerateContentServer) error { |
| return status.Errorf(codes.Unimplemented, "method StreamGenerateContent not implemented") |
| } |
| |
| func RegisterPredictionServiceServer(s *grpc.Server, srv PredictionServiceServer) { |
| s.RegisterService(&_PredictionService_serviceDesc, srv) |
| } |
| |
| func _PredictionService_Predict_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(PredictRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(PredictionServiceServer).Predict(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.aiplatform.v1.PredictionService/Predict", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(PredictionServiceServer).Predict(ctx, req.(*PredictRequest)) |
| } |
| 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.v1.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_StreamRawPredict_Handler(srv interface{}, stream grpc.ServerStream) error { |
| m := new(StreamRawPredictRequest) |
| if err := stream.RecvMsg(m); err != nil { |
| return err |
| } |
| return srv.(PredictionServiceServer).StreamRawPredict(m, &predictionServiceStreamRawPredictServer{stream}) |
| } |
| |
| type PredictionService_StreamRawPredictServer interface { |
| Send(*httpbody.HttpBody) error |
| grpc.ServerStream |
| } |
| |
| type predictionServiceStreamRawPredictServer struct { |
| grpc.ServerStream |
| } |
| |
| func (x *predictionServiceStreamRawPredictServer) Send(m *httpbody.HttpBody) error { |
| return x.ServerStream.SendMsg(m) |
| } |
| |
| func _PredictionService_DirectPredict_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(DirectPredictRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(PredictionServiceServer).DirectPredict(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.aiplatform.v1.PredictionService/DirectPredict", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(PredictionServiceServer).DirectPredict(ctx, req.(*DirectPredictRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _PredictionService_DirectRawPredict_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(DirectRawPredictRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(PredictionServiceServer).DirectRawPredict(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.aiplatform.v1.PredictionService/DirectRawPredict", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(PredictionServiceServer).DirectRawPredict(ctx, req.(*DirectRawPredictRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _PredictionService_StreamDirectPredict_Handler(srv interface{}, stream grpc.ServerStream) error { |
| return srv.(PredictionServiceServer).StreamDirectPredict(&predictionServiceStreamDirectPredictServer{stream}) |
| } |
| |
| type PredictionService_StreamDirectPredictServer interface { |
| Send(*StreamDirectPredictResponse) error |
| Recv() (*StreamDirectPredictRequest, error) |
| grpc.ServerStream |
| } |
| |
| type predictionServiceStreamDirectPredictServer struct { |
| grpc.ServerStream |
| } |
| |
| func (x *predictionServiceStreamDirectPredictServer) Send(m *StreamDirectPredictResponse) error { |
| return x.ServerStream.SendMsg(m) |
| } |
| |
| func (x *predictionServiceStreamDirectPredictServer) Recv() (*StreamDirectPredictRequest, error) { |
| m := new(StreamDirectPredictRequest) |
| if err := x.ServerStream.RecvMsg(m); err != nil { |
| return nil, err |
| } |
| return m, nil |
| } |
| |
| func _PredictionService_StreamDirectRawPredict_Handler(srv interface{}, stream grpc.ServerStream) error { |
| return srv.(PredictionServiceServer).StreamDirectRawPredict(&predictionServiceStreamDirectRawPredictServer{stream}) |
| } |
| |
| type PredictionService_StreamDirectRawPredictServer interface { |
| Send(*StreamDirectRawPredictResponse) error |
| Recv() (*StreamDirectRawPredictRequest, error) |
| grpc.ServerStream |
| } |
| |
| type predictionServiceStreamDirectRawPredictServer struct { |
| grpc.ServerStream |
| } |
| |
| func (x *predictionServiceStreamDirectRawPredictServer) Send(m *StreamDirectRawPredictResponse) error { |
| return x.ServerStream.SendMsg(m) |
| } |
| |
| func (x *predictionServiceStreamDirectRawPredictServer) Recv() (*StreamDirectRawPredictRequest, error) { |
| m := new(StreamDirectRawPredictRequest) |
| if err := x.ServerStream.RecvMsg(m); err != nil { |
| return nil, err |
| } |
| return m, nil |
| } |
| |
| func _PredictionService_StreamingPredict_Handler(srv interface{}, stream grpc.ServerStream) error { |
| return srv.(PredictionServiceServer).StreamingPredict(&predictionServiceStreamingPredictServer{stream}) |
| } |
| |
| type PredictionService_StreamingPredictServer interface { |
| Send(*StreamingPredictResponse) error |
| Recv() (*StreamingPredictRequest, error) |
| grpc.ServerStream |
| } |
| |
| type predictionServiceStreamingPredictServer struct { |
| grpc.ServerStream |
| } |
| |
| func (x *predictionServiceStreamingPredictServer) Send(m *StreamingPredictResponse) error { |
| return x.ServerStream.SendMsg(m) |
| } |
| |
| func (x *predictionServiceStreamingPredictServer) Recv() (*StreamingPredictRequest, error) { |
| m := new(StreamingPredictRequest) |
| if err := x.ServerStream.RecvMsg(m); err != nil { |
| return nil, err |
| } |
| return m, nil |
| } |
| |
| func _PredictionService_ServerStreamingPredict_Handler(srv interface{}, stream grpc.ServerStream) error { |
| m := new(StreamingPredictRequest) |
| if err := stream.RecvMsg(m); err != nil { |
| return err |
| } |
| return srv.(PredictionServiceServer).ServerStreamingPredict(m, &predictionServiceServerStreamingPredictServer{stream}) |
| } |
| |
| type PredictionService_ServerStreamingPredictServer interface { |
| Send(*StreamingPredictResponse) error |
| grpc.ServerStream |
| } |
| |
| type predictionServiceServerStreamingPredictServer struct { |
| grpc.ServerStream |
| } |
| |
| func (x *predictionServiceServerStreamingPredictServer) Send(m *StreamingPredictResponse) error { |
| return x.ServerStream.SendMsg(m) |
| } |
| |
| func _PredictionService_StreamingRawPredict_Handler(srv interface{}, stream grpc.ServerStream) error { |
| return srv.(PredictionServiceServer).StreamingRawPredict(&predictionServiceStreamingRawPredictServer{stream}) |
| } |
| |
| type PredictionService_StreamingRawPredictServer interface { |
| Send(*StreamingRawPredictResponse) error |
| Recv() (*StreamingRawPredictRequest, error) |
| grpc.ServerStream |
| } |
| |
| type predictionServiceStreamingRawPredictServer struct { |
| grpc.ServerStream |
| } |
| |
| func (x *predictionServiceStreamingRawPredictServer) Send(m *StreamingRawPredictResponse) error { |
| return x.ServerStream.SendMsg(m) |
| } |
| |
| func (x *predictionServiceStreamingRawPredictServer) Recv() (*StreamingRawPredictRequest, error) { |
| m := new(StreamingRawPredictRequest) |
| if err := x.ServerStream.RecvMsg(m); err != nil { |
| return nil, err |
| } |
| return m, nil |
| } |
| |
| 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 { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(PredictionServiceServer).Explain(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.aiplatform.v1.PredictionService/Explain", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(PredictionServiceServer).Explain(ctx, req.(*ExplainRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _PredictionService_GenerateContent_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(GenerateContentRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(PredictionServiceServer).GenerateContent(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.aiplatform.v1.PredictionService/GenerateContent", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(PredictionServiceServer).GenerateContent(ctx, req.(*GenerateContentRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _PredictionService_StreamGenerateContent_Handler(srv interface{}, stream grpc.ServerStream) error { |
| m := new(GenerateContentRequest) |
| if err := stream.RecvMsg(m); err != nil { |
| return err |
| } |
| return srv.(PredictionServiceServer).StreamGenerateContent(m, &predictionServiceStreamGenerateContentServer{stream}) |
| } |
| |
| type PredictionService_StreamGenerateContentServer interface { |
| Send(*GenerateContentResponse) error |
| grpc.ServerStream |
| } |
| |
| type predictionServiceStreamGenerateContentServer struct { |
| grpc.ServerStream |
| } |
| |
| func (x *predictionServiceStreamGenerateContentServer) Send(m *GenerateContentResponse) error { |
| return x.ServerStream.SendMsg(m) |
| } |
| |
| var _PredictionService_serviceDesc = grpc.ServiceDesc{ |
| ServiceName: "google.cloud.aiplatform.v1.PredictionService", |
| HandlerType: (*PredictionServiceServer)(nil), |
| Methods: []grpc.MethodDesc{ |
| { |
| MethodName: "Predict", |
| Handler: _PredictionService_Predict_Handler, |
| }, |
| { |
| MethodName: "RawPredict", |
| Handler: _PredictionService_RawPredict_Handler, |
| }, |
| { |
| MethodName: "DirectPredict", |
| Handler: _PredictionService_DirectPredict_Handler, |
| }, |
| { |
| MethodName: "DirectRawPredict", |
| Handler: _PredictionService_DirectRawPredict_Handler, |
| }, |
| { |
| MethodName: "Explain", |
| Handler: _PredictionService_Explain_Handler, |
| }, |
| { |
| MethodName: "GenerateContent", |
| Handler: _PredictionService_GenerateContent_Handler, |
| }, |
| }, |
| Streams: []grpc.StreamDesc{ |
| { |
| StreamName: "StreamRawPredict", |
| Handler: _PredictionService_StreamRawPredict_Handler, |
| ServerStreams: true, |
| }, |
| { |
| StreamName: "StreamDirectPredict", |
| Handler: _PredictionService_StreamDirectPredict_Handler, |
| ServerStreams: true, |
| ClientStreams: true, |
| }, |
| { |
| StreamName: "StreamDirectRawPredict", |
| Handler: _PredictionService_StreamDirectRawPredict_Handler, |
| ServerStreams: true, |
| ClientStreams: true, |
| }, |
| { |
| StreamName: "StreamingPredict", |
| Handler: _PredictionService_StreamingPredict_Handler, |
| ServerStreams: true, |
| ClientStreams: true, |
| }, |
| { |
| StreamName: "ServerStreamingPredict", |
| Handler: _PredictionService_ServerStreamingPredict_Handler, |
| ServerStreams: true, |
| }, |
| { |
| StreamName: "StreamingRawPredict", |
| Handler: _PredictionService_StreamingRawPredict_Handler, |
| ServerStreams: true, |
| ClientStreams: true, |
| }, |
| { |
| StreamName: "StreamGenerateContent", |
| Handler: _PredictionService_StreamGenerateContent_Handler, |
| ServerStreams: true, |
| }, |
| }, |
| Metadata: "google/cloud/aiplatform/v1/prediction_service.proto", |
| } |