message: refactor(//tests/modules/test_serialization): make the code more clear
  about what is going on
diff: #include "module_test.h"
  TEST_P(ModuleTests, SerializedModuleIsStillCorrect) {
  - std::vector<torch::jit::IValue> jit_inputs_ivalues;
  - std::vector<torch::jit::IValue> trt_inputs_ivalues;
  + std::vector<torch::jit::IValue> post_serialized_inputs_ivalues;
  + std::vector<torch::jit::IValue> pre_serialized_inputs_ivalues;
  for (auto in_shape : input_shapes) {
  auto in = at::randint(5, in_shape, {at::kCUDA});
  - jit_inputs_ivalues.push_back(in.clone());
  - trt_inputs_ivalues.push_back(in.clone());
  + post_serialized_inputs_ivalues.push_back(in.clone());
  + pre_serialized_inputs_ivalues.push_back(in.clone());
  }
  - auto trt_mod = trtorch::CompileGraph(mod, input_shapes);
  - torch::jit::IValue trt_results_ivalues = trtorch::tests::util::RunModuleForward(trt_mod, trt_inputs_ivalues);
  - std::vector<at::Tensor> trt_results;
  - trt_results.push_back(trt_results_ivalues.toTensor());
  + auto pre_serialized_mod = trtorch::CompileGraph(mod, input_shapes);
  + torch::jit::IValue pre_serialized_results_ivalues = trtorch::tests::util::RunModuleForward(pre_serialized_mod, pre_serialized_inputs_ivalues);
  + std::vector<at::Tensor> pre_serialized_results;
  + pre_serialized_results.push_back(pre_serialized_results_ivalues.toTensor());
  - trt_mod.save("test_serialization_mod.ts");
  - auto jit_mod = torch::jit::load("test_serialization_mod.ts");
  + pre_serialized_mod.save("test_serialization_mod.ts");
  + auto post_serialized_mod = torch::jit::load("test_serialization_mod.ts");
  - torch::jit::IValue jit_results_ivalues = trtorch::tests::util::RunModuleForward(jit_mod, jit_inputs_ivalues);
  - std::vector<at::Tensor> jit_results;
  - jit_results.push_back(jit_results_ivalues.toTensor());
  + torch::jit::IValue post_serialized_results_ivalues = trtorch::tests::util::RunModuleForward(post_serialized_mod, post_serialized_inputs_ivalues);
  + std::vector<at::Tensor> post_serialized_results;
  + post_serialized_results.push_back(post_serialized_results_ivalues.toTensor());
  - for (size_t i = 0; i < trt_results.size(); i++) {
  - ASSERT_TRUE(trtorch::tests::util::almostEqual(jit_results[i], trt_results[i].reshape_as(jit_results[i]), 2e-5));
  + for (size_t i = 0; i < pre_serialized_results.size(); i++) {
  + ASSERT_TRUE(trtorch::tests::util::almostEqual(post_serialized_results[i], pre_serialized_results[i].reshape_as(post_serialized_results[i]), 2e-5));
  }
  }
  