add imdb example for go client

go/client_app/acc.go

+package main
+
+import (
+       "io"
+       "os"
+       "fmt"
+       "bufio"
+       "strings"
+       "strconv"
+)
+
+func main() {
+     score_file := os.Args[1]
+     fi, err := os.Open(score_file)
+     if err != nil {
+     	fmt.Print(err)
+     }
+
+     defer fi.Close()
+     br := bufio.NewReader(fi)     
+
+     total := int(0)
+     acc := int(0)
+     for {
+     	 line, err := br.ReadString('\n')
+	 if err == io.EOF {
+	    break
+	 }
+
+	 line = strings.Trim(line, "\n")
+	 s := strings.Split(line, "\t")
+	 prob_str := strings.Trim(s[0], " ")
+	 label_str := strings.Trim(s[1], " ")
+	 prob, err := strconv.ParseFloat(prob_str, 32)
+	 if err != nil {
+	    panic(err)
+	 }
+	 label, err := strconv.ParseFloat(label_str, 32)
+	 if err != nil {
+	    panic(err)
+	 }
+	 if (prob - 0.5) * (label - 0.5) > 0 {
+	    acc++
+	 }
+	 total++
+    }
+    fmt.Println("total num: ", total)
+    fmt.Println("acc num: ", acc)
+    fmt.Println("acc: ", float32(acc) / float32(total))    
+}
\ No newline at end of file

go/client_app/imdb_client.go

@@ -16,10 +16,10 @@ package main
 
 import (
        "io"
+       "fmt"
        "strings"
        "bufio"
        "strconv"
-       "fmt"
        "os"
        "serving_client"
 )
@@ -28,7 +28,7 @@ func main() {
      var config_file_path string
      config_file_path = os.Args[1]
      handle := serving_client.LoadModelConfig(config_file_path)
-     serving_client.Connect("127.0.0.1", 9292, handle)
+     handle = serving_client.Connect("127.0.0.1", "9292", handle)
 
      test_file_path := os.Args[2]
      fi, err := os.Open(test_file_path)
@@ -49,6 +49,8 @@ func main() {
 	    break
 	 }
 
+	 line = strings.Trim(line, "\n")
+
 	 var words = []int64{}
 
 	 s := strings.Split(line, " ")
@@ -60,13 +62,18 @@ func main() {
 	     words = append(words, int64(int_v))
 	 }
 
-	 label, _ := strconv.Atoi(s[len(s)-1])
+	 label, err := strconv.Atoi(s[len(s)-1])
+
+	 if err != nil {
+	    panic(err)
+	 }
 
+	 feed_int_map = map[string][]int64{}
 	 feed_int_map["words"] = words
 	 feed_int_map["label"] = []int64{int64(label)}
 	 
 	 result = serving_client.Predict(handle,
 	 	 feed_int_map, fetch)
-	 fmt.Println(result["prediction"][0])
+	 fmt.Println(result["prediction"][1], "\t", int64(label))
      }
 }
\ No newline at end of file

go/proto/general_model_config.pb.go

+// Code generated by protoc-gen-go. DO NOT EDIT.
+// source: general_model_config.proto
+
+package baidu_paddle_serving_configure
+
+import (
+	fmt "fmt"
+	proto "github.com/golang/protobuf/proto"
+	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 FeedVar struct {
+	Name                 *string  `protobuf:"bytes,1,opt,name=name" json:"name,omitempty"`
+	AliasName            *string  `protobuf:"bytes,2,opt,name=alias_name,json=aliasName" json:"alias_name,omitempty"`
+	IsLodTensor          *bool    `protobuf:"varint,3,opt,name=is_lod_tensor,json=isLodTensor,def=0" json:"is_lod_tensor,omitempty"`
+	FeedType             *int32   `protobuf:"varint,4,opt,name=feed_type,json=feedType,def=0" json:"feed_type,omitempty"`
+	Shape                []int32  `protobuf:"varint,5,rep,name=shape" json:"shape,omitempty"`
+	XXX_NoUnkeyedLiteral struct{} `json:"-"`
+	XXX_unrecognized     []byte   `json:"-"`
+	XXX_sizecache        int32    `json:"-"`
+}
+
+func (m *FeedVar) Reset()         { *m = FeedVar{} }
+func (m *FeedVar) String() string { return proto.CompactTextString(m) }
+func (*FeedVar) ProtoMessage()    {}
+func (*FeedVar) Descriptor() ([]byte, []int) {
+	return fileDescriptor_efa52beffa29d37a, []int{0}
+}
+
+func (m *FeedVar) XXX_Unmarshal(b []byte) error {
+	return xxx_messageInfo_FeedVar.Unmarshal(m, b)
+}
+func (m *FeedVar) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
+	return xxx_messageInfo_FeedVar.Marshal(b, m, deterministic)
+}
+func (m *FeedVar) XXX_Merge(src proto.Message) {
+	xxx_messageInfo_FeedVar.Merge(m, src)
+}
+func (m *FeedVar) XXX_Size() int {
+	return xxx_messageInfo_FeedVar.Size(m)
+}
+func (m *FeedVar) XXX_DiscardUnknown() {
+	xxx_messageInfo_FeedVar.DiscardUnknown(m)
+}
+
+var xxx_messageInfo_FeedVar proto.InternalMessageInfo
+
+const Default_FeedVar_IsLodTensor bool = false
+const Default_FeedVar_FeedType int32 = 0
+
+func (m *FeedVar) GetName() string {
+	if m != nil && m.Name != nil {
+		return *m.Name
+	}
+	return ""
+}
+
+func (m *FeedVar) GetAliasName() string {
+	if m != nil && m.AliasName != nil {
+		return *m.AliasName
+	}
+	return ""
+}
+
+func (m *FeedVar) GetIsLodTensor() bool {
+	if m != nil && m.IsLodTensor != nil {
+		return *m.IsLodTensor
+	}
+	return Default_FeedVar_IsLodTensor
+}
+
+func (m *FeedVar) GetFeedType() int32 {
+	if m != nil && m.FeedType != nil {
+		return *m.FeedType
+	}
+	return Default_FeedVar_FeedType
+}
+
+func (m *FeedVar) GetShape() []int32 {
+	if m != nil {
+		return m.Shape
+	}
+	return nil
+}
+
+type FetchVar struct {
+	Name                 *string  `protobuf:"bytes,1,opt,name=name" json:"name,omitempty"`
+	AliasName            *string  `protobuf:"bytes,2,opt,name=alias_name,json=aliasName" json:"alias_name,omitempty"`
+	IsLodTensor          *bool    `protobuf:"varint,3,opt,name=is_lod_tensor,json=isLodTensor,def=0" json:"is_lod_tensor,omitempty"`
+	Shape                []int32  `protobuf:"varint,4,rep,name=shape" json:"shape,omitempty"`
+	XXX_NoUnkeyedLiteral struct{} `json:"-"`
+	XXX_unrecognized     []byte   `json:"-"`
+	XXX_sizecache        int32    `json:"-"`
+}
+
+func (m *FetchVar) Reset()         { *m = FetchVar{} }
+func (m *FetchVar) String() string { return proto.CompactTextString(m) }
+func (*FetchVar) ProtoMessage()    {}
+func (*FetchVar) Descriptor() ([]byte, []int) {
+	return fileDescriptor_efa52beffa29d37a, []int{1}
+}
+
+func (m *FetchVar) XXX_Unmarshal(b []byte) error {
+	return xxx_messageInfo_FetchVar.Unmarshal(m, b)
+}
+func (m *FetchVar) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
+	return xxx_messageInfo_FetchVar.Marshal(b, m, deterministic)
+}
+func (m *FetchVar) XXX_Merge(src proto.Message) {
+	xxx_messageInfo_FetchVar.Merge(m, src)
+}
+func (m *FetchVar) XXX_Size() int {
+	return xxx_messageInfo_FetchVar.Size(m)
+}
+func (m *FetchVar) XXX_DiscardUnknown() {
+	xxx_messageInfo_FetchVar.DiscardUnknown(m)
+}
+
+var xxx_messageInfo_FetchVar proto.InternalMessageInfo
+
+const Default_FetchVar_IsLodTensor bool = false
+
+func (m *FetchVar) GetName() string {
+	if m != nil && m.Name != nil {
+		return *m.Name
+	}
+	return ""
+}
+
+func (m *FetchVar) GetAliasName() string {
+	if m != nil && m.AliasName != nil {
+		return *m.AliasName
+	}
+	return ""
+}
+
+func (m *FetchVar) GetIsLodTensor() bool {
+	if m != nil && m.IsLodTensor != nil {
+		return *m.IsLodTensor
+	}
+	return Default_FetchVar_IsLodTensor
+}
+
+func (m *FetchVar) GetShape() []int32 {
+	if m != nil {
+		return m.Shape
+	}
+	return nil
+}
+
+type GeneralModelConfig struct {
+	FeedVar              []*FeedVar  `protobuf:"bytes,1,rep,name=feed_var,json=feedVar" json:"feed_var,omitempty"`
+	FetchVar             []*FetchVar `protobuf:"bytes,2,rep,name=fetch_var,json=fetchVar" json:"fetch_var,omitempty"`
+	XXX_NoUnkeyedLiteral struct{}    `json:"-"`
+	XXX_unrecognized     []byte      `json:"-"`
+	XXX_sizecache        int32       `json:"-"`
+}
+
+func (m *GeneralModelConfig) Reset()         { *m = GeneralModelConfig{} }
+func (m *GeneralModelConfig) String() string { return proto.CompactTextString(m) }
+func (*GeneralModelConfig) ProtoMessage()    {}
+func (*GeneralModelConfig) Descriptor() ([]byte, []int) {
+	return fileDescriptor_efa52beffa29d37a, []int{2}
+}
+
+func (m *GeneralModelConfig) XXX_Unmarshal(b []byte) error {
+	return xxx_messageInfo_GeneralModelConfig.Unmarshal(m, b)
+}
+func (m *GeneralModelConfig) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
+	return xxx_messageInfo_GeneralModelConfig.Marshal(b, m, deterministic)
+}
+func (m *GeneralModelConfig) XXX_Merge(src proto.Message) {
+	xxx_messageInfo_GeneralModelConfig.Merge(m, src)
+}
+func (m *GeneralModelConfig) XXX_Size() int {
+	return xxx_messageInfo_GeneralModelConfig.Size(m)
+}
+func (m *GeneralModelConfig) XXX_DiscardUnknown() {
+	xxx_messageInfo_GeneralModelConfig.DiscardUnknown(m)
+}
+
+var xxx_messageInfo_GeneralModelConfig proto.InternalMessageInfo
+
+func (m *GeneralModelConfig) GetFeedVar() []*FeedVar {
+	if m != nil {
+		return m.FeedVar
+	}
+	return nil
+}
+
+func (m *GeneralModelConfig) GetFetchVar() []*FetchVar {
+	if m != nil {
+		return m.FetchVar
+	}
+	return nil
+}
+
+func init() {
+	proto.RegisterType((*FeedVar)(nil), "baidu.paddle_serving.configure.FeedVar")
+	proto.RegisterType((*FetchVar)(nil), "baidu.paddle_serving.configure.FetchVar")
+	proto.RegisterType((*GeneralModelConfig)(nil), "baidu.paddle_serving.configure.GeneralModelConfig")
+}
+
+func init() { proto.RegisterFile("general_model_config.proto", fileDescriptor_efa52beffa29d37a) }
+
+var fileDescriptor_efa52beffa29d37a = []byte{
+	// 283 bytes of a gzipped FileDescriptorProto
+	0x1f, 0x8b, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0xff, 0xb4, 0xd0, 0x31, 0x4b, 0xc4, 0x30,
+	0x14, 0x07, 0x70, 0x72, 0x6d, 0xb9, 0xf6, 0x1d, 0x2e, 0xc1, 0xa1, 0x08, 0x1e, 0xe5, 0x16, 0xe3,
+	0x52, 0xc4, 0xf1, 0x46, 0xc5, 0x73, 0x51, 0x87, 0x72, 0xb8, 0x86, 0xd8, 0xbc, 0xb6, 0x81, 0x5c,
+	0x53, 0x92, 0xde, 0xc1, 0x2d, 0x7e, 0x13, 0xf1, 0xab, 0x4a, 0x93, 0x43, 0x9c, 0x74, 0x72, 0x7b,
+	0x79, 0xff, 0xf0, 0xde, 0xe3, 0x07, 0x17, 0x2d, 0xf6, 0x68, 0x85, 0xe6, 0x3b, 0x23, 0x51, 0xf3,
+	0xda, 0xf4, 0x8d, 0x6a, 0xcb, 0xc1, 0x9a, 0xd1, 0xd0, 0xe5, 0x9b, 0x50, 0x72, 0x5f, 0x0e, 0x42,
+	0x4a, 0x8d, 0xdc, 0xa1, 0x3d, 0xa8, 0xbe, 0x2d, 0xc3, 0x97, 0xbd, 0xc5, 0xd5, 0x07, 0x81, 0xf9,
+	0x06, 0x51, 0xbe, 0x0a, 0x4b, 0x29, 0xc4, 0xbd, 0xd8, 0x61, 0x4e, 0x0a, 0xc2, 0xb2, 0xca, 0xd7,
+	0xf4, 0x12, 0x40, 0x68, 0x25, 0x1c, 0xf7, 0xc9, 0xcc, 0x27, 0x99, 0xef, 0xbc, 0x4c, 0xf1, 0x35,
+	0x9c, 0x29, 0xc7, 0xb5, 0x91, 0x7c, 0xc4, 0xde, 0x19, 0x9b, 0x47, 0x05, 0x61, 0xe9, 0x3a, 0x69,
+	0x84, 0x76, 0x58, 0x2d, 0x94, 0x7b, 0x32, 0x72, 0xeb, 0x13, 0xba, 0x84, 0xac, 0x41, 0x94, 0x7c,
+	0x3c, 0x0e, 0x98, 0xc7, 0x05, 0x61, 0xc9, 0x9a, 0xdc, 0x54, 0xe9, 0xd4, 0xdb, 0x1e, 0x07, 0xa4,
+	0xe7, 0x90, 0xb8, 0x4e, 0x0c, 0x98, 0x27, 0x45, 0xc4, 0x92, 0x2a, 0x3c, 0x56, 0xef, 0x90, 0x6e,
+	0x70, 0xac, 0xbb, 0xff, 0xbf, 0xef, 0x7b, 0x7f, 0xfc, 0x73, 0xff, 0x27, 0x01, 0xfa, 0x18, 0x78,
+	0x9f, 0x27, 0xdd, 0x7b, 0x2f, 0x47, 0xef, 0xc0, 0x1f, 0xce, 0x0f, 0xc2, 0xe6, 0xa4, 0x88, 0xd8,
+	0xe2, 0xf6, 0xaa, 0xfc, 0x5d, 0xba, 0x3c, 0x29, 0x57, 0xf3, 0xe6, 0xc4, 0xfd, 0x30, 0x81, 0x8c,
+	0x75, 0xe7, 0x87, 0xcc, 0xfc, 0x10, 0xf6, 0xf7, 0x90, 0x60, 0x31, 0xb9, 0x85, 0xea, 0x2b, 0x00,
+	0x00, 0xff, 0xff, 0x08, 0x27, 0x9c, 0x1a, 0xfe, 0x01, 0x00, 0x00,
+}

go/serving_client/serving_client.go

-#   Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
-#
-# 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.
-
-package main
-
-import (
-       "bytes"
-       "encoding/json"
-       "io/ioutil"
-       "log"
-       "net/http"
-       "encoding/binary"
-       "fmt"
-       "general_model_config"
-)
-
-type Tensor struct {
-     IntData	   []int64 `json:"int_data"`
-     ElemType	int `json:"elem_type"`
-     Shape	[]int `json:"shape"`
-}
-
-type FeedInst struct {
-     TensorArray     []Tensor `json:"tensor_array"`
-}
-
-type FetchInst struct {
-     TensorArray      []Tensor `json:"tensor_array"`
-}
-
-type Request struct {
-     Insts   []FeedInst `json:"insts"`
-     FetchVarNames	[]string `json:"fetch_var_names"`
-}
-
-type Response struct {
-     Insts    []FetchInst `json:"insts"`
-}
-
-type Handle struct {
-     Url    string
-     Port   int
-     FeedAliasNameMap	Map[string]string
-     FeedShapeMap	Map[string][]int
-     FeedNameMap   Map[string]int
-     FetchNameMap  Map[string]int
-     FetchAliasNameMap	Map[string]string
-}
-
-func LoadModelConfig(config string) Handle {
-     in, err := ioutil.ReadFile(config)
-     if err != nil {
-     	log.Fatalln("Failed to read general model: ", err)
-     }
-     general_model_config := &pb.GeneralConfig{}
-     if err := proto.Unmarshal(in, general_model_config); err != nil {
-     	log.Fatalln("Failed to parse GeneralConfig: ", err)
-     }
-     handle := Handle{}
-     for i, v in range general_model_config.FeedVar {
-     	 handle.FeedNameMap[v.Name] = i
-	 handle.FeedShapeMap[v.Name] = v
-	 handle.FeedAliasNameMap[v.AliasName] = v.Name
-     }
-
-     for i, v in range general_model_config.FetchVar {
-     	 handle.FetchNameMap[v.Name] = i
-	 handle.FetchAliasNameMap[v.AliasName] = v.Name
-     }
-
-     return handle
-}
-
-func Connect(url string, port int, handle Handle) Handle {
-     handle.Url = url
-     handle.Port = port
-     return handle
-}
-
-func Predict(handle Handle, int_feed_map Map[string]int{}, fetch []string) {
-     contentType := "application/json;charset=utf-8"
-
-     var tensor_array []Tensor{}
-     var inst FeedInst
-     for k, v := range int_feed_map {
-     	 var tmp Tensor
-	 tmp.Data = int_feed_map[k]
-	 tmp.ElemType = 0
-	 tmp.Shape = handle.FeedNameShape[k]
-	 tensor_array = append(tensor_array, tmp)
-     }
-
-     req := &Request{
-     	 Insts: []FeedInst{inst},
-	 FetchVarNames: []string{fetch}}
-
-     b, err := json.Marshal(req)
-     fmt.Println(string(b))
-
-     body := bytes.NewBuffer(b)
-
-     resp, err := http.Post(url, contentType, body)
-     if err != nil {
-     	log.Println("Post failed:", err)
-	return
-     }
-
-     defer resp.Body.Close()
-
-     content, err := ioutil.ReadAll(resp.Body)
-     if err != nil {
-     	log.Println("Read failed:", err)
-	return
-     }
-
-     log.Println("content:", string(content))
-}

go/serving_client/serving_client_api.go

@@ -20,12 +20,13 @@ import (
        "io/ioutil"
        "log"
        "net/http"
-       "fmt"
        pb "general_model"
        "github.com/golang/protobuf/proto"
 )
 
 type Tensor struct {
+     Data   []byte `json:"data"`
+     FloatData	   []float32 `json:"float_data"`
      IntData	   []int64 `json:"int_data"`
      ElemType	int `json:"elem_type"`
      Shape	[]int `json:"shape"`
@@ -46,14 +47,16 @@ type Request struct {
 
 type Response struct {
      Insts    []FetchInst `json:"insts"`
+     MeanInferUs	  float32 `json:"mean_infer_us"`
 }
 
 type Handle struct {
      Url    string
-     Port   int
+     Port   string
      FeedAliasNameMap	map[string]string
      FeedShapeMap	map[string][]int
      FeedNameMap   map[string]int
+     FeedAliasNames	   []string
      FetchNameMap  map[string]int
      FetchAliasNameMap	map[string]string
 }
@@ -67,16 +70,24 @@ func LoadModelConfig(config string) Handle {
      if err := proto.Unmarshal(in, general_model_config); err != nil {
      	log.Fatalln("Failed to parse GeneralModelConfig: ", err)
      }
+     log.Println("read protobuf succeed")
      handle := Handle{}
+     handle.FeedNameMap = map[string]int{}
+     handle.FeedAliasNameMap = map[string]string{}
+     handle.FeedShapeMap = map[string][]int{}
+     handle.FetchNameMap = map[string]int{}
+     handle.FetchAliasNameMap = map[string]string{}
+     handle.FeedAliasNames = []string{}
+
      for i, v := range general_model_config.FeedVar {
      	 handle.FeedNameMap[*v.Name] = i
-	 // handle.FeedShapeMap[*v.Name] := []int
 	 tmp_array := []int{}
 	 for _, vv := range v.Shape {
 	     tmp_array = append(tmp_array, int(vv))
 	 }
 	 handle.FeedShapeMap[*v.Name] = tmp_array
 	 handle.FeedAliasNameMap[*v.AliasName] = *v.Name
+	 handle.FeedAliasNames = append(handle.FeedAliasNames, *v.AliasName)
      }
 
      for i, v := range general_model_config.FetchVar {
@@ -87,7 +98,7 @@ func LoadModelConfig(config string) Handle {
      return handle
 }
 
-func Connect(url string, port int, handle Handle) Handle {
+func Connect(url string, port string, handle Handle) Handle {
      handle.Url = url
      handle.Port = port
      return handle
@@ -98,24 +109,38 @@ func Predict(handle Handle, int_feed_map map[string][]int64, fetch []string) map
 
      var tensor_array []Tensor
      var inst FeedInst
-     for k, _ := range int_feed_map {
-     	 var tmp Tensor
-	 tmp.IntData = int_feed_map[k]
+     tensor_array = []Tensor{}
+     inst = FeedInst{}
+
+     for i := 0; i < len(handle.FeedAliasNames); i++ {
+     	 key_i := handle.FeedAliasNames[i]
+	 var tmp Tensor
+	 tmp.IntData = []int64{}
+	 tmp.Shape = []int{}
+	 tmp.IntData = int_feed_map[key_i]
 	 tmp.ElemType = 0
-	 tmp.Shape = handle.FeedShapeMap[k]
+	 tmp.Shape = handle.FeedShapeMap[key_i]
 	 tensor_array = append(tensor_array, tmp)
      }
 
+     inst.TensorArray = tensor_array
+
      req := &Request{
      	 Insts: []FeedInst{inst},
 	 FetchVarNames: fetch}
 
      b, err := json.Marshal(req)
-     fmt.Println(string(b))
 
      body := bytes.NewBuffer(b)
 
-     resp, err := http.Post(handle.Url, contentType, body)
+     var post_address bytes.Buffer
+     post_address.WriteString("http://")
+     post_address.WriteString(handle.Url)
+     post_address.WriteString(":")
+     post_address.WriteString(handle.Port)
+     post_address.WriteString("/GeneralModelService/inference")
+
+     resp, err := http.Post(post_address.String(), contentType, body)
      if err != nil {
      	log.Println("Post failed:", err)
      }
@@ -124,11 +149,17 @@ func Predict(handle Handle, int_feed_map map[string][]int64, fetch []string) map
 
      content, err := ioutil.ReadAll(resp.Body)
      if err != nil {
-     	log.Println("Read failed:", err)
+      	log.Println("Read failed:", err)
      }
 
-     log.Println("content:", string(content))
+     response_json := Response{}
+     err = json.Unmarshal([]byte(content), &response_json)
 
      var result map[string][]float32
+     result = map[string][]float32{}
+     for i, v := range fetch {
+     	 result[v] = response_json.Insts[0].TensorArray[i].FloatData
+     }
+     
      return result
 }