# 如何在Paddle Serving使用Go Client (简体中文|[English](./IMDB_GO_CLIENT.md)) 本文档说明了如何将Go用作客户端语言。对于Paddle Serving中的Go客户端,提供了一个简单的客户端程序包https://github.com/PaddlePaddle/Serving/tree/develop/go/serving_client, 用户可以根据需要引用该程序包。这是一个基于IMDB数据集的情感分析任务的简单示例。 ### 安装 我们假设您已经安装了Go 1.9.2或更高版本,并且安装了python 2.7版本 ```shell go get github.com/PaddlePaddle/Serving/go/serving_client go get github.com/PaddlePaddle/Serving/go/proto pip install paddle-serving-server ``` ### 下载文本分类模型 ```shell wget https://paddle-serving.bj.bcebos.com/data/text_classification/imdb_serving_example.tar.gz tar -xzf imdb_serving_example.tar.gz ``` ### 启动服务器 ```shell python -m paddle_serving_server.serve --model ./serving_server_model/ --port 9292 ``` ### 客户端代码示例 ```go // imdb_client.go package main import (        "io"        "fmt"        "strings"        "bufio"        "strconv"        "os"        serving_client "github.com/PaddlePaddle/Serving/go/serving_client" ) func main () {      var config_file_path string      config_file_path = os.Args [1]      handle: = serving_client.LoadModelConfig (config_file_path)      handle = serving_client.Connect ("127.0.0.1", "9292", handle)      test_file_path: = os.Args [2]      fi, err: = os.Open (test_file_path)      if err! = nil {      fmt.Print (err)      }      defer fi.Close ()      br: = bufio.NewReader (fi)      fetch: = [] string {"cost", "acc", "prediction"}      var result map [string] [] float32      for {      line, err: = br.ReadString ('\ n') if err == io.EOF { break } line = strings.Trim (line, "\ n") var words = [] int64 {} s: = strings.Split (line, "") value, err: = strconv.Atoi (s [0]) var feed_int_map map [string] [] int64         for _, v: = range s [1: value + 1] { int_v, _: = strconv.Atoi (v) words = append (words, int64 (int_v)) } 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)} Ranch result = serving_client.Predict (handle, feed_int_map, fetch) fmt.Println (result ["prediction"] [1], "\ t", int64 (label))     } } ``` ### 基于IMDB测试集的预测 ```python go run imdb_client.go serving_client_conf / serving_client_conf.stream.prototxt test.data> result ``` ### 计算精度 ```python // 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)) } ``` ```shell go run acc.go result total num: 25000 acc num: 22014 acc: 0.88056 ```