[Note] Using Tensorflow API in C++

Before jumping into Tensorflow in C++.

I have summarised about Bazel, which google uses for building the project!
Please kindly take a look if you have interest on it.
https://qiita.com/Rowing0914/items/8e60588fa698693d20a3

Official Tutorial

// tensorflow/yourfolder/filename.cc

# include "tensorflow/cc/client/client_session.h"
# include "tensorflow/cc/ops/standard_ops.h"
# include "tensorflow/core/framework/tensor.h"

int main() {
  using namespace tensorflow;
  using namespace tensorflow::ops;
  Scope root = Scope::NewRootScope();
  // Matrix A = [3 2; -1 0]
  auto A = Const(root, { {3.f, 2.f}, {-1.f, 0.f} });
  // Vector b = [3 5]
  auto b = Const(root, { {3.f, 5.f} });
  // v = Ab^T
  auto v = MatMul(root.WithOpName("v"), A, b, MatMul::TransposeB(true));
  std::vector<Tensor> outputs;
  ClientSession session(root);
  // Run and fetch v
  TF_CHECK_OK(session.Run({v}, &outputs));
  // Expect outputs[0] == [19; -3]
  LOG(INFO) << outputs[0].matrix<float>();
  return 0;
}

Put the application above into the folder you make newly under tensorflow directory.
And please make a BUILD file to notice the bazel dependencies of this application.

cc_binary(
    name = "project",
    srcs = ["code.cpp"],
    linkopts = 
		["-lopencv_core","-lopencv_imgproc", "-lopencv_highgui", 
		"-Wl,--version-script=tensorflow/tf_version_script.lds"],
    copts = ["-I/usr/local/include/", "-O3"],
    deps = [
        "//tensorflow/core:tensorflow"
    ])

And then run the bazel!