contract TensorflowExampleMac{
  function onCreate(args){
    var models = Global.Resources.loadAsInputStream("/model/tensorflow_inception_graph.pb");
    var labels = Global.Resources.loadAsInputStream("/model/imagenet_comp_graph_label_strings.txt");
    com.yancloud.sc.LabelImage.loadModel(models,labels);
    return "done";
  }
  function constructAndExecuteGraphToNormalizeImage(imageInput){
    var g = new org.tensorflow.Graph();
    var b = new GraphBuilder(g);
    var H = 224;
    var mean = 177.0;
    var scale = 1.0;
    var input = b.constant("input",YancloudUtil.inputStreamToBytes(imageInput));
    var output = b.div(b.sub(b.resizeBilinear(b.expandDims(b.cast(b.decodeJpeg(input,3),java.lang.Float.class),
                                                           b.constant("make_batch",0)),b.constant("size", [H,H])),
                             b.constant("mean",mean)),b.constantt("scale",scale));
    var s = new session(g);
    var ret = s.runner().fetch(output.op().name()).run().get(0).expect(java.lang.Float.class);
    s.close();
    g.close();
    return ret;
  }
  @Description("示例参数: /imgs/cup.jpg")
  export function testLocal(args){
    var imageInput = Global.Resources.loadAsInputStream(args);
    var start = new Date().getTime();
    var labelProbabilities = com.yancloud.sc.LabelImage.matchImageInputStream(imageInput);
    print(new Date().getTime()-start);
    return labelProbabilities;
  }
  @Description("示例参数: https://c-ssl.duitang.com/uploads/item/201105/26/20110526192527_UYHTQ.thumb.700_0.jpg")
  export function main(args){
    var imageInput = YancloudUtil.httpAsInputStream(args);
    var labelProbabilities = com.yancloud.sc.LabelImage.matchImageInputStream(imageInput);
    return labelProbabilities;
  }
}