How to convert a serialized tensorflow::Example into an input to a session - tensorflow

Question

I've used the following tutorial to export a saved model created by an estimator:
https://github.com/MtDersvan/tf_playground/blob/master/wide_and_deep_tutorial/wide_and_deep_basic_serving.md
I'm trying to load this model in c++. I've managed to create a serialized tensorflow::Example using c++. How do I convert this into a single Tensor?
The tutorial uses tf.contrib.util.make_tensor_proto(serialized, shape=[1])). What is the equivalent C++ API?

Answer 1

It's complicated a little than write in python, here's code example may helps:
#include <gtest/gtest.h>
#include <grpc/grpc.h>
#include <grpc++/channel.h>
#include <grpc++/client_context.h>
#include <grpc++/create_channel.h>
#include <grpc++/security/credentials.h>
#include <grpc++/security/credentials.h>
#include <iostream>
#include "tensorflow/core/framework/tensor.pb.h"
#include "tensorflow/core/example/example.pb.h"
#include "tensorflow/core/framework/tensor_shape.pb.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow_serving/apis/prediction_service.grpc.pb.h"
#include "tensorflow_serving/apis/prediction_service.pb.h"
using namespace std;
namespace tensorflow {
namespace serving {
TEST(GRPCCppClient, TestPredict) {
shared_ptr<grpc::Channel> channel = grpc::CreateChannel("127.0.0.1:30355", grpc::InsecureChannelCredentials());
shared_ptr<PredictionService::Stub> stub_ = PredictionService::NewStub(channel);
tensorflow::TensorProto tensorProto;
tensorflow::TensorShapeProto tensorShapeProto;
PredictRequest predictRequest;
PredictResponse predictResponse;
tensorflow::TensorShapeProto_Dim* dim_0 = tensorShapeProto.add_dim();
dim_0->set_size(1);
tensorProto.mutable_tensor_shape()->CopyFrom(tensorShapeProto);
Example example;
/*Construct example..*/
std::string test_str;
example.SerializeToString(&test_str);
tensorProto.set_dtype(DT_STRING);
tensorProto.add_string_val(test_str);
(*predictRequest.mutable_inputs())["inputs"] = tensorProto;
predictRequest.mutable_model_spec()->set_name("default"); /*set your own model name*/
grpc::ClientContext context;
grpc::Status status = stub_->Predict(&context, predictRequest, &predictResponse);
if (!status.ok()) {
std::cout << "GetFeature rpc failed." << std::endl;
ASSERT_TRUE(false);
}
cout<<"------------\n"<<predictResponse.DebugString()<<endl;
}
}
}