diff --git a/go/serving_client/serving_client.go b/go/serving_client/serving_client.go
index a85d0b140985edcbd35c8ce1b3d4e0c7ac61a3f9..919a5b85dc4600c6a9e65538d0e1a2407347136b 100644
--- a/go/serving_client/serving_client.go
+++ b/go/serving_client/serving_client.go
@@ -22,6 +22,7 @@ import (
        "net/http"
        "encoding/binary"
        "fmt"
+       "general_model_config"
 )
 
 type Tensor struct {
@@ -47,6 +48,16 @@ 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 {
@@ -56,19 +67,40 @@ func LoadModelConfig(config string) Handle {
      if err := proto.Unmarshal(in, general_model_config); err != nil {
      	log.Fatalln("Failed to parse GeneralConfig: ", err)
      }
-     fmt.Println("Read message done.")
+     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) {
+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[],
-             float_feed_map Map[string]float[], fetch []string) {
+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}}