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Tensorflow Serving Go client for the inception model
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| // Tensorflow Serving Go client for the inception model | |
| // First of all compile the proto files: | |
| // git clone --recursive https://github.com/tensorflow/serving.git | |
| // protoc -I=serving -I serving/tensorflow --go_out=plugins=grpc:$GOPATH/src serving/tensorflow_serving/apis/*.proto | |
| // protoc -I=serving/tensorflow --go_out=plugins=grpc:$GOPATH/src serving/tensorflow/tensorflow/core/framework/*.proto | |
| // protoc -I=serving/tensorflow --go_out=plugins=grpc:$GOPATH/src serving/tensorflow/tensorflow/core/protobuf/{saver,meta_graph}.proto | |
| // protoc -I=serving/tensorflow --go_out=plugins=grpc:$GOPATH/src serving/tensorflow/tensorflow/core/example/*.proto | |
| package main | |
| import ( | |
| "context" | |
| "flag" | |
| "fmt" | |
| "io/ioutil" | |
| "log" | |
| "os" | |
| "path/filepath" | |
| tf_core_framework "tensorflow/core/framework" | |
| pb "tensorflow_serving/apis" | |
| google_protobuf "github.com/golang/protobuf/ptypes/wrappers" | |
| tf "github.com/tensorflow/tensorflow/tensorflow/go" | |
| "google.golang.org/grpc" | |
| ) | |
| func main() { | |
| servingAddress := flag.String("serving-address", "localhost:9000", "The tensorflow serving address") | |
| flag.Parse() | |
| if flag.NArg() != 1 { | |
| fmt.Println("Usage: " + os.Args[0] + " --serving-address localhost:9000 path/to/img.png") | |
| os.Exit(1) | |
| } | |
| imgPath, err := filepath.Abs(flag.Arg(0)) | |
| if err != nil { | |
| log.Fatalln(err) | |
| } | |
| imageBytes, err := ioutil.ReadFile(imgPath) | |
| if err != nil { | |
| log.Fatalln(err) | |
| } | |
| tensor, err := tf.NewTensor(string(imageBytes)) | |
| if err != nil { | |
| log.Fatalln("Cannot read image file") | |
| } | |
| tensorString, ok := tensor.Value().(string) | |
| if !ok { | |
| log.Fatalln("Cannot type assert tensor value to string") | |
| } | |
| request := &pb.PredictRequest{ | |
| ModelSpec: &pb.ModelSpec{ | |
| Name: "inception", | |
| SignatureName: "predict_images", | |
| Version: &google_protobuf.Int64Value{ | |
| Value: int64(1), | |
| }, | |
| }, | |
| Inputs: map[string]*tf_core_framework.TensorProto{ | |
| "images": &tf_core_framework.TensorProto{ | |
| Dtype: tf_core_framework.DataType_DT_STRING, | |
| TensorShape: &tf_core_framework.TensorShapeProto{ | |
| Dim: []*tf_core_framework.TensorShapeProto_Dim{ | |
| &tf_core_framework.TensorShapeProto_Dim{ | |
| Size: int64(1), | |
| }, | |
| }, | |
| }, | |
| StringVal: [][]byte{[]byte(tensorString)}, | |
| }, | |
| }, | |
| } | |
| conn, err := grpc.Dial(*servingAddress, grpc.WithInsecure()) | |
| if err != nil { | |
| log.Fatalf("Cannot connect to the grpc server: %v\n", err) | |
| } | |
| defer conn.Close() | |
| client := pb.NewPredictionServiceClient(conn) | |
| resp, err := client.Predict(context.Background(), request) | |
| if err != nil { | |
| log.Fatalln(err) | |
| } | |
| log.Println(resp) | |
| } |
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