// Create 1 dimensional tensor with values from `values`
TF_Tensor* Int32Tensor(const std::vector<int32_t>& values);

TF_Tensor* Int32Tensor(int32_t v);

TF_Tensor* DoubleTensor(double v);

TF_Tensor* FloatTensor(float v);

TF_Operation* Placeholder(TF_Graph* graph, TF_Status* s,
                          const char* name = "feed",
                          TF_DataType dtype = TF_INT32,

  double* values = new double[1];
  values[0] = v;
  return TF_NewTensor(TF_DOUBLE, nullptr, 0, values, num_bytes,
                      &DoubleDeallocator, nullptr);
}

TF_Tensor* FloatTensor(float v) {
  const int num_bytes = sizeof(float);
  float* values = new float[1];
  values[0] = v;
  return TF_NewTensor(TF_FLOAT, nullptr, 0, values, num_bytes,
                      &FloatDeallocator, nullptr);
}

  TF_DeleteSessionOptions(opts);
  ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);

  TF_Output feeds[] = {{x, 0}, {y, 0}};
  TF_Tensor* feedValues[] = {FloatTensor(X), FloatTensor(Y)};
  TF_Output fetches[] = {dxy_dx, dxy_dy};
  TF_Tensor* fetchValues[] = {nullptr, nullptr};

  TF_SessionRun(sess, nullptr /* run_options */, feeds, feedValues, 2, fetches,