si.loadType(QualifiedName(class_name));
}

TEST(InterfaceTest, ModuleInterfaceSerialization) {
  auto cu = std::make_shared<CompilationUnit>();
  Module parentMod("parentMod", cu);
  Module subMod("subMod", cu);

  std::vector<at::IValue> constantTable;

            

Reported by Cppcheck.

                bool oldState_;
};

TEST(InlinerTest, Basic) {
  // disable automatic inlining so we can test it manually
  InlinerGuard guard(/*shouldInline=*/false);

  CompilationUnit cu(testSource);
  auto& fn = cu.get_function("foo3");

            

Reported by Cppcheck.

                }
}

TEST(GraphIteratorTest, ConstantReturnGraph) {
  const auto graph_string = R"IR(
      graph():
        %1 : int = prim::Constant[value=0]()
        return (%1))IR";
  auto graph = std::make_shared<Graph>();

            

Reported by Cppcheck.

                params_groups.push_back(OptimizerParamGroup(params));
  auto& params_1 = params_groups[1].params();
  for (size_t i = 0; i < params_1.size(); i++) {
    torch::equal(params[i], params_1[i]);
  }

  // test for add_param_group() when one or more params existing in another param_group
  // are passed in the new param group to be added
  ASSERT_THROWS_WITH(

            

Reported by FlawFinder.

                ASSERT_TRUE(almostEqual(stack[1].toTensor(), r1));
}

TEST(GraphExecutorTest, runAsync_executor) {
  /*
  TODO: there are some problem with C++ parsing script program involving
  fork. Use the test module below for now.
  issue about this: github.com/pytorch/pytorch/issues/46368
  The test module file is generated by following:

            

Reported by Cppcheck.

                ASSERT_EQ(max_diff, 0);
}

TEST(FuserTest, TestOne_CUDA) {
#if defined(FBCODE_CAFFE2)
  return;
#endif
  auto testOne = [&](int ti, int tj) {
    const auto graph_string = R"IR(

            

Reported by Cppcheck.

                ASSERT_TRUE(output.allclose(at::full(5, 3.0f)));
}

TEST(CustomOperatorTest, ExplicitSchema) {
  torch::RegisterOperators reg(
      "foo::bar_with_schema(float a, Tensor b) -> Tensor",
      [](double a, at::Tensor b) { return a + b; });

  auto& ops =

            

Reported by Cppcheck.

                        });
}

PYBIND11_MODULE(caffe2_pybind11_state_hip, m) {
  m.doc() = "pybind11 stateful interface to Caffe2 workspaces - GPU edition";

  addGlobalMethods(m);
  addHIPGlobalMethods(m);
  addObjectMethods(m);

            

Reported by Cppcheck.

                }
};

TORCH_LIBRARY(_TorchScriptTesting, m) {
  m.class_<ReLUClass>("_ReLUClass")
      .def(torch::init<>())
      .def("run", &ReLUClass::run);

  m.class_<_StaticMethod>("_StaticMethod")

            

Reported by Cppcheck.

              } // namespace

// Tests DocString is properly propagated when defining CustomClasses.
TEST(CustomClassTest, TestDocString) {
  auto class_type = getCustomClass(
      "__torch__.torch.classes._TorchBindTest._TorchBindTestClass");
  AT_ASSERT(class_type);
  AT_ASSERT(class_type->doc_string() == class_doc_string);


            

Reported by Cppcheck.