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Create IMDB_GO_CLIENT.md

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# How to use Go Client of Paddle Serving
This document shows how to use Go as your client language. For Go client in Paddle Serving, a simple client package is provided https://github.com/PaddlePaddle/Serving/tree/develop/go/serving_client, a user can import this package as needed. Here is a simple example of sentiment analysis task based on IMDB dataset.
### Install
We suppose you have 1.9.2 or later version installed and python 2.7 version installed
```shell
go get github.com/PaddlePaddle/Serving/go/serving_client
go get github.com/PaddlePaddle/Serving/go/proto
pip install paddle-serving-server
```
### Download Text Classification Model
``` shell
wget https://paddle-serving.bj.bcebos.com/data%2Ftext_classification%2Fimdb_serving_example.tar.gz
tar -xzf imdb_serving_example.tar.gz
```
### Server Side Code
```python
# test_server_go.py
import os
import sys
from paddle_serving_server import OpMaker
from paddle_serving_server import OpSeqMaker
from paddle_serving_server import Server
op_maker = OpMaker()
read_op = op_maker.create('general_text_reader')
general_infer_op = op_maker.create('general_text_infer')
op_seq_maker = OpSeqMaker()
op_seq_maker.add_op(read_op)
op_seq_maker.add_op(general_infer_op)
server = Server()
server.set_op_sequence(op_seq_maker.get_op_sequence())
server.load_model_config(sys.argv[1])
server.prepare_server(workdir="work_dir1", port=9292, device="cpu")
server.run_server()
```
### Start Server
``` shell
python test_server_go.py ./serving_server_model/ 9292
```
### Client code example
``` go
// imdb_client.go
package main
import (
"io"
"fmt"
"strings"
"bufio"
"strconv"
"os"
"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)}
result = serving_client.Predict(handle, feed_int_map, fetch)
fmt.Println(result["prediction"][1], "\t", int64(label))
}
}
```
### Prediction based on IMDB Test set
``` python
go run imdb_client.go serving_client_conf/serving_client_conf.stream.prototxt test.data > result
```
### Compute accuracy
```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))
}
```
```
go acc.go result
```
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