NeuralNetwork/cluster/cluster.pb.go

// Code generated by protoc-gen-go. DO NOT EDIT.
// source: cluster.proto

package cluster

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

type UnitInfo struct {
	Url                  string   `protobuf:"bytes,1,opt,name=url,proto3" json:"url,omitempty"`
	AvailableThreads     int32    `protobuf:"zigzag32,2,opt,name=availableThreads,proto3" json:"availableThreads,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

func (m *UnitInfo) Reset()         { *m = UnitInfo{} }
func (m *UnitInfo) String() string { return proto.CompactTextString(m) }
func (*UnitInfo) ProtoMessage()    {}
func (*UnitInfo) Descriptor() ([]byte, []int) {
	return fileDescriptor_3cfb3b8ec240c376, []int{0}
}

func (m *UnitInfo) XXX_Unmarshal(b []byte) error {
	return xxx_messageInfo_UnitInfo.Unmarshal(m, b)
}
func (m *UnitInfo) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
	return xxx_messageInfo_UnitInfo.Marshal(b, m, deterministic)
}
func (m *UnitInfo) XXX_Merge(src proto.Message) {
	xxx_messageInfo_UnitInfo.Merge(m, src)
}
func (m *UnitInfo) XXX_Size() int {
	return xxx_messageInfo_UnitInfo.Size(m)
}
func (m *UnitInfo) XXX_DiscardUnknown() {
	xxx_messageInfo_UnitInfo.DiscardUnknown(m)
}

var xxx_messageInfo_UnitInfo proto.InternalMessageInfo

func (m *UnitInfo) GetUrl() string {
	if m != nil {
		return m.Url
	}
	return ""
}

func (m *UnitInfo) GetAvailableThreads() int32 {
	if m != nil {
		return m.AvailableThreads
	}
	return 0
}

type UnitInfos struct {
	List                 []*UnitInfo `protobuf:"bytes,1,rep,name=list,proto3" json:"list,omitempty"`
	XXX_NoUnkeyedLiteral struct{}    `json:"-"`
	XXX_unrecognized     []byte      `json:"-"`
	XXX_sizecache        int32       `json:"-"`
}

func (m *UnitInfos) Reset()         { *m = UnitInfos{} }
func (m *UnitInfos) String() string { return proto.CompactTextString(m) }
func (*UnitInfos) ProtoMessage()    {}
func (*UnitInfos) Descriptor() ([]byte, []int) {
	return fileDescriptor_3cfb3b8ec240c376, []int{1}
}

func (m *UnitInfos) XXX_Unmarshal(b []byte) error {
	return xxx_messageInfo_UnitInfos.Unmarshal(m, b)
}
func (m *UnitInfos) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
	return xxx_messageInfo_UnitInfos.Marshal(b, m, deterministic)
}
func (m *UnitInfos) XXX_Merge(src proto.Message) {
	xxx_messageInfo_UnitInfos.Merge(m, src)
}
func (m *UnitInfos) XXX_Size() int {
	return xxx_messageInfo_UnitInfos.Size(m)
}
func (m *UnitInfos) XXX_DiscardUnknown() {
	xxx_messageInfo_UnitInfos.DiscardUnknown(m)
}

var xxx_messageInfo_UnitInfos proto.InternalMessageInfo

func (m *UnitInfos) GetList() []*UnitInfo {
	if m != nil {
		return m.List
	}
	return nil
}

type Matrix struct {
	Matrix               []byte   `protobuf:"bytes,1,opt,name=matrix,proto3" json:"matrix,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

func (m *Matrix) Reset()         { *m = Matrix{} }
func (m *Matrix) String() string { return proto.CompactTextString(m) }
func (*Matrix) ProtoMessage()    {}
func (*Matrix) Descriptor() ([]byte, []int) {
	return fileDescriptor_3cfb3b8ec240c376, []int{2}
}

func (m *Matrix) XXX_Unmarshal(b []byte) error {
	return xxx_messageInfo_Matrix.Unmarshal(m, b)
}
func (m *Matrix) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
	return xxx_messageInfo_Matrix.Marshal(b, m, deterministic)
}
func (m *Matrix) XXX_Merge(src proto.Message) {
	xxx_messageInfo_Matrix.Merge(m, src)
}
func (m *Matrix) XXX_Size() int {
	return xxx_messageInfo_Matrix.Size(m)
}
func (m *Matrix) XXX_DiscardUnknown() {
	xxx_messageInfo_Matrix.DiscardUnknown(m)
}

var xxx_messageInfo_Matrix proto.InternalMessageInfo

func (m *Matrix) GetMatrix() []byte {
	if m != nil {
		return m.Matrix
	}
	return nil
}

type DataSet struct {
	Biases               []*Matrix `protobuf:"bytes,1,rep,name=biases,proto3" json:"biases,omitempty"`
	Weights              []*Matrix `protobuf:"bytes,2,rep,name=weights,proto3" json:"weights,omitempty"`
	Data                 []*Matrix `protobuf:"bytes,3,rep,name=data,proto3" json:"data,omitempty"`
	Result               []*Matrix `protobuf:"bytes,4,rep,name=result,proto3" json:"result,omitempty"`
	XXX_NoUnkeyedLiteral struct{}  `json:"-"`
	XXX_unrecognized     []byte    `json:"-"`
	XXX_sizecache        int32     `json:"-"`
}

func (m *DataSet) Reset()         { *m = DataSet{} }
func (m *DataSet) String() string { return proto.CompactTextString(m) }
func (*DataSet) ProtoMessage()    {}
func (*DataSet) Descriptor() ([]byte, []int) {
	return fileDescriptor_3cfb3b8ec240c376, []int{3}
}

func (m *DataSet) XXX_Unmarshal(b []byte) error {
	return xxx_messageInfo_DataSet.Unmarshal(m, b)
}
func (m *DataSet) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
	return xxx_messageInfo_DataSet.Marshal(b, m, deterministic)
}
func (m *DataSet) XXX_Merge(src proto.Message) {
	xxx_messageInfo_DataSet.Merge(m, src)
}
func (m *DataSet) XXX_Size() int {
	return xxx_messageInfo_DataSet.Size(m)
}
func (m *DataSet) XXX_DiscardUnknown() {
	xxx_messageInfo_DataSet.DiscardUnknown(m)
}

var xxx_messageInfo_DataSet proto.InternalMessageInfo

func (m *DataSet) GetBiases() []*Matrix {
	if m != nil {
		return m.Biases
	}
	return nil
}

func (m *DataSet) GetWeights() []*Matrix {
	if m != nil {
		return m.Weights
	}
	return nil
}

func (m *DataSet) GetData() []*Matrix {
	if m != nil {
		return m.Data
	}
	return nil
}

func (m *DataSet) GetResult() []*Matrix {
	if m != nil {
		return m.Result
	}
	return nil
}

func init() {
	proto.RegisterType((*UnitInfo)(nil), "cluster.UnitInfo")
	proto.RegisterType((*UnitInfos)(nil), "cluster.UnitInfos")
	proto.RegisterType((*Matrix)(nil), "cluster.Matrix")
	proto.RegisterType((*DataSet)(nil), "cluster.DataSet")
}

func init() { proto.RegisterFile("cluster.proto", fileDescriptor_3cfb3b8ec240c376) }

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}

// 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

// NeuralNetworkClusterClient is the client API for NeuralNetworkCluster service.
//
// For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
type NeuralNetworkClusterClient interface {
	Register(ctx context.Context, in *UnitInfo, opts ...grpc.CallOption) (NeuralNetworkCluster_RegisterClient, error)
}

type neuralNetworkClusterClient struct {
	cc grpc.ClientConnInterface
}

func NewNeuralNetworkClusterClient(cc grpc.ClientConnInterface) NeuralNetworkClusterClient {
	return &neuralNetworkClusterClient{cc}
}

func (c *neuralNetworkClusterClient) Register(ctx context.Context, in *UnitInfo, opts ...grpc.CallOption) (NeuralNetworkCluster_RegisterClient, error) {
	stream, err := c.cc.NewStream(ctx, &_NeuralNetworkCluster_serviceDesc.Streams[0], "/cluster.NeuralNetworkCluster/Register", opts...)
	if err != nil {
		return nil, err
	}
	x := &neuralNetworkClusterRegisterClient{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 NeuralNetworkCluster_RegisterClient interface {
	Recv() (*UnitInfo, error)
	grpc.ClientStream
}

type neuralNetworkClusterRegisterClient struct {
	grpc.ClientStream
}

func (x *neuralNetworkClusterRegisterClient) Recv() (*UnitInfo, error) {
	m := new(UnitInfo)
	if err := x.ClientStream.RecvMsg(m); err != nil {
		return nil, err
	}
	return m, nil
}

// NeuralNetworkClusterServer is the server API for NeuralNetworkCluster service.
type NeuralNetworkClusterServer interface {
	Register(*UnitInfo, NeuralNetworkCluster_RegisterServer) error
}

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

func (*UnimplementedNeuralNetworkClusterServer) Register(req *UnitInfo, srv NeuralNetworkCluster_RegisterServer) error {
	return status.Errorf(codes.Unimplemented, "method Register not implemented")
}

func RegisterNeuralNetworkClusterServer(s *grpc.Server, srv NeuralNetworkClusterServer) {
	s.RegisterService(&_NeuralNetworkCluster_serviceDesc, srv)
}

func _NeuralNetworkCluster_Register_Handler(srv interface{}, stream grpc.ServerStream) error {
	m := new(UnitInfo)
	if err := stream.RecvMsg(m); err != nil {
		return err
	}
	return srv.(NeuralNetworkClusterServer).Register(m, &neuralNetworkClusterRegisterServer{stream})
}

type NeuralNetworkCluster_RegisterServer interface {
	Send(*UnitInfo) error
	grpc.ServerStream
}

type neuralNetworkClusterRegisterServer struct {
	grpc.ServerStream
}

func (x *neuralNetworkClusterRegisterServer) Send(m *UnitInfo) error {
	return x.ServerStream.SendMsg(m)
}

var _NeuralNetworkCluster_serviceDesc = grpc.ServiceDesc{
	ServiceName: "cluster.NeuralNetworkCluster",
	HandlerType: (*NeuralNetworkClusterServer)(nil),
	Methods:     []grpc.MethodDesc{},
	Streams: []grpc.StreamDesc{
		{
			StreamName:    "Register",
			Handler:       _NeuralNetworkCluster_Register_Handler,
			ServerStreams: true,
		},
	},
	Metadata: "cluster.proto",
}

// NeuralNetworkUnitClient is the client API for NeuralNetworkUnit service.
//
// For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
type NeuralNetworkUnitClient interface {
	Run(ctx context.Context, in *DataSet, opts ...grpc.CallOption) (*Matrix, error)
}

type neuralNetworkUnitClient struct {
	cc grpc.ClientConnInterface
}

func NewNeuralNetworkUnitClient(cc grpc.ClientConnInterface) NeuralNetworkUnitClient {
	return &neuralNetworkUnitClient{cc}
}

func (c *neuralNetworkUnitClient) Run(ctx context.Context, in *DataSet, opts ...grpc.CallOption) (*Matrix, error) {
	out := new(Matrix)
	err := c.cc.Invoke(ctx, "/cluster.NeuralNetworkUnit/Run", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

// NeuralNetworkUnitServer is the server API for NeuralNetworkUnit service.
type NeuralNetworkUnitServer interface {
	Run(context.Context, *DataSet) (*Matrix, error)
}

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

func (*UnimplementedNeuralNetworkUnitServer) Run(ctx context.Context, req *DataSet) (*Matrix, error) {
	return nil, status.Errorf(codes.Unimplemented, "method Run not implemented")
}

func RegisterNeuralNetworkUnitServer(s *grpc.Server, srv NeuralNetworkUnitServer) {
	s.RegisterService(&_NeuralNetworkUnit_serviceDesc, srv)
}

func _NeuralNetworkUnit_Run_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(DataSet)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(NeuralNetworkUnitServer).Run(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/cluster.NeuralNetworkUnit/Run",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(NeuralNetworkUnitServer).Run(ctx, req.(*DataSet))
	}
	return interceptor(ctx, in, info, handler)
}

var _NeuralNetworkUnit_serviceDesc = grpc.ServiceDesc{
	ServiceName: "cluster.NeuralNetworkUnit",
	HandlerType: (*NeuralNetworkUnitServer)(nil),
	Methods: []grpc.MethodDesc{
		{
			MethodName: "Run",
			Handler:    _NeuralNetworkUnit_Run_Handler,
		},
	},
	Streams:  []grpc.StreamDesc{},
	Metadata: "cluster.proto",
}