message: refactor(//tests): Fixing batchnorm false test
diff: @@ -40,14 +40,13 @@ TEST(Converters, ATenBatchNormAffineFalseConvertsCorrectly) {
  // BatchNorm(ch, affine=False)
  const auto graph = R"IR(
  graph(%0 : Tensor,
  - %1: NoneType = prim::Constant(),
  - %2: NoneType = prim::Constant(),
  %3: Float(5, strides=[1]),
  %4: Float(5, strides=[1])):
  + %1 : None = prim::Constant()
  %5 : bool = prim::Constant[value=0]()
  %6 : float = prim::Constant[value=1.0000000000000001e-05]()
  %7 : float = prim::Constant[value=0.10000000000000001]()
  - %8 : Tensor = aten::batch_norm(%0, %1, %2, %3, %4, %5, %6, %7, %5)
  + %8 : Tensor = aten::batch_norm(%0, %1, %1, %3, %4, %5, %6, %7, %5)
  return (%8))IR";
  auto g = std::make_shared<torch::jit::Graph>();
  @@ -55,14 +54,13 @@ TEST(Converters, ATenBatchNormAffineFalseConvertsCorrectly) {
  auto in = at::randint(1, 10, {1, 5, 5, 5}, {at::kCUDA});
  - torch::jit::IValue gamma, beta; // NoneType
  auto mean = at::randint(1, 10, {5}, {at::kCUDA});
  auto var = at::randint(1, 10, {5}, {at::kCUDA});
  - auto params = torch_tensorrt::core::ir::get_static_params(g->inputs(), {gamma, beta, mean, var});
  + auto params = torch_tensorrt::core::ir::get_static_params(g->inputs(), {mean, var});
  auto jit_results = torch_tensorrt::tests::util::RunGraph(g, params, {in});
  - params = torch_tensorrt::core::ir::get_static_params(g->inputs(), {gamma, beta, mean, var});
  + params = torch_tensorrt::core::ir::get_static_params(g->inputs(), {mean, var});
  auto trt_results = torch_tensorrt::tests::util::RunGraphEngine(g, params, {in});
  ASSERT_TRUE(
  