prediction_service.pb.go

// Code generated by protoc-gen-go. DO NOT EDIT.
// source: tensorflow_serving/apis/prediction_service.proto

package serving

import (
	context "context"
	fmt "fmt"
	proto "github.com/golang/protobuf/proto"
	grpc "google.golang.org/grpc"
	codes "google.golang.org/grpc/codes"
	status "google.golang.org/grpc/status"
	math "math"
)

// Reference imports to suppress errors if they are not otherwise used.
var _ = proto.Marshal
var _ = fmt.Errorf
var _ = math.Inf

// This is a compile-time assertion to ensure that this generated file
// is compatible with the proto package it is being compiled against.
// A compilation error at this line likely means your copy of the
// proto package needs to be updated.
const _ = proto.ProtoPackageIsVersion3 // please upgrade the proto package

func init() {
	proto.RegisterFile("tensorflow_serving/apis/prediction_service.proto", fileDescriptor_6f2588d3ed9ea15a)
}

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// Reference imports to suppress errors if they are not otherwise used.
var _ context.Context
var _ grpc.ClientConn

// 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.SupportPackageIsVersion4

// 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 {
	// Classify.
	Classify(ctx context.Context, in *ClassificationRequest, opts ...grpc.CallOption) (*ClassificationResponse, error)
	// Regress.
	Regress(ctx context.Context, in *RegressionRequest, opts ...grpc.CallOption) (*RegressionResponse, error)
	// Predict -- provides access to loaded TensorFlow model.
	Predict(ctx context.Context, in *PredictRequest, opts ...grpc.CallOption) (*PredictResponse, error)
	// MultiInference API for multi-headed models.
	MultiInference(ctx context.Context, in *MultiInferenceRequest, opts ...grpc.CallOption) (*MultiInferenceResponse, error)
	// GetModelMetadata - provides access to metadata for loaded models.
	GetModelMetadata(ctx context.Context, in *GetModelMetadataRequest, opts ...grpc.CallOption) (*GetModelMetadataResponse, error)
}

type predictionServiceClient struct {
	cc *grpc.ClientConn
}

func NewPredictionServiceClient(cc *grpc.ClientConn) PredictionServiceClient {
	return &predictionServiceClient{cc}
}

func (c *predictionServiceClient) Classify(ctx context.Context, in *ClassificationRequest, opts ...grpc.CallOption) (*ClassificationResponse, error) {
	out := new(ClassificationResponse)
	err := c.cc.Invoke(ctx, "/tensorflow.serving.PredictionService/Classify", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *predictionServiceClient) Regress(ctx context.Context, in *RegressionRequest, opts ...grpc.CallOption) (*RegressionResponse, error) {
	out := new(RegressionResponse)
	err := c.cc.Invoke(ctx, "/tensorflow.serving.PredictionService/Regress", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *predictionServiceClient) Predict(ctx context.Context, in *PredictRequest, opts ...grpc.CallOption) (*PredictResponse, error) {
	out := new(PredictResponse)
	err := c.cc.Invoke(ctx, "/tensorflow.serving.PredictionService/Predict", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *predictionServiceClient) MultiInference(ctx context.Context, in *MultiInferenceRequest, opts ...grpc.CallOption) (*MultiInferenceResponse, error) {
	out := new(MultiInferenceResponse)
	err := c.cc.Invoke(ctx, "/tensorflow.serving.PredictionService/MultiInference", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *predictionServiceClient) GetModelMetadata(ctx context.Context, in *GetModelMetadataRequest, opts ...grpc.CallOption) (*GetModelMetadataResponse, error) {
	out := new(GetModelMetadataResponse)
	err := c.cc.Invoke(ctx, "/tensorflow.serving.PredictionService/GetModelMetadata", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

// PredictionServiceServer is the server API for PredictionService service.
type PredictionServiceServer interface {
	// Classify.
	Classify(context.Context, *ClassificationRequest) (*ClassificationResponse, error)
	// Regress.
	Regress(context.Context, *RegressionRequest) (*RegressionResponse, error)
	// Predict -- provides access to loaded TensorFlow model.
	Predict(context.Context, *PredictRequest) (*PredictResponse, error)
	// MultiInference API for multi-headed models.
	MultiInference(context.Context, *MultiInferenceRequest) (*MultiInferenceResponse, error)
	// GetModelMetadata - provides access to metadata for loaded models.
	GetModelMetadata(context.Context, *GetModelMetadataRequest) (*GetModelMetadataResponse, error)
}

// UnimplementedPredictionServiceServer can be embedded to have forward compatible implementations.
type UnimplementedPredictionServiceServer struct {
}

func (*UnimplementedPredictionServiceServer) Classify(ctx context.Context, req *ClassificationRequest) (*ClassificationResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method Classify not implemented")
}
func (*UnimplementedPredictionServiceServer) Regress(ctx context.Context, req *RegressionRequest) (*RegressionResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method Regress not implemented")
}
func (*UnimplementedPredictionServiceServer) Predict(ctx context.Context, req *PredictRequest) (*PredictResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method Predict not implemented")
}
func (*UnimplementedPredictionServiceServer) MultiInference(ctx context.Context, req *MultiInferenceRequest) (*MultiInferenceResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method MultiInference not implemented")
}
func (*UnimplementedPredictionServiceServer) GetModelMetadata(ctx context.Context, req *GetModelMetadataRequest) (*GetModelMetadataResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method GetModelMetadata not implemented")
}

func RegisterPredictionServiceServer(s *grpc.Server, srv PredictionServiceServer) {
	s.RegisterService(&_PredictionService_serviceDesc, srv)
}

func _PredictionService_Classify_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(ClassificationRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(PredictionServiceServer).Classify(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/tensorflow.serving.PredictionService/Classify",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(PredictionServiceServer).Classify(ctx, req.(*ClassificationRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _PredictionService_Regress_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(RegressionRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(PredictionServiceServer).Regress(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/tensorflow.serving.PredictionService/Regress",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(PredictionServiceServer).Regress(ctx, req.(*RegressionRequest))
	}
	return interceptor(ctx, in, info, handler)
}

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: "/tensorflow.serving.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_MultiInference_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(MultiInferenceRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(PredictionServiceServer).MultiInference(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/tensorflow.serving.PredictionService/MultiInference",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(PredictionServiceServer).MultiInference(ctx, req.(*MultiInferenceRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _PredictionService_GetModelMetadata_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(GetModelMetadataRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(PredictionServiceServer).GetModelMetadata(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/tensorflow.serving.PredictionService/GetModelMetadata",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(PredictionServiceServer).GetModelMetadata(ctx, req.(*GetModelMetadataRequest))
	}
	return interceptor(ctx, in, info, handler)
}

var _PredictionService_serviceDesc = grpc.ServiceDesc{
	ServiceName: "tensorflow.serving.PredictionService",
	HandlerType: (*PredictionServiceServer)(nil),
	Methods: []grpc.MethodDesc{
		{
			MethodName: "Classify",
			Handler:    _PredictionService_Classify_Handler,
		},
		{
			MethodName: "Regress",
			Handler:    _PredictionService_Regress_Handler,
		},
		{
			MethodName: "Predict",
			Handler:    _PredictionService_Predict_Handler,
		},
		{
			MethodName: "MultiInference",
			Handler:    _PredictionService_MultiInference_Handler,
		},
		{
			MethodName: "GetModelMetadata",
			Handler:    _PredictionService_GetModelMetadata_Handler,
		},
	},
	Streams:  []grpc.StreamDesc{},
	Metadata: "tensorflow_serving/apis/prediction_service.proto",
}