code: def test_placeholder_and_get_attr_ordering_after_unflattened(self):
      class TransposeModule(torch.nn.Module):
          def __init__(self):
              super().__init__()
              self.conv = torch.nn.Conv2d(3, 1, 3, stride=2)
  
          def forward(self, x):
              x = self.conv(x)
              return x.transpose(0, 1)
  
      x = torch.randn(32, 3, 64, 64)
      exported_program = export(TransposeModule(), args=(x,))
      unflattened_module = unflatten(exported_program)
  
      # Check the inputs of the created call_module node are in order
      call_module_input_order = []
      for node in unflattened_module.graph.nodes:
          if node.op == "call_module":
              transpose_module = unflattened_module.get_submodule(
                  node.target
              )
              for sub_node in transpose_module.graph.nodes:
                  if (
                      sub_node.op == "placeholder"
                      or sub_node.op == "get_attr"
                  ):
                      call_module_input_order.append(sub_node.op)
      self.assertEqual(
          call_module_input_order,
          ["placeholder", "get_attr", "get_attr"],
      )
  
imports: import dataclasses
  import unittest
  from contextlib import contextmanager
  from dataclasses import dataclass
  from typing import List, Any
  import torch
  import torch._dynamo
  from functorch.experimental.control_flow import cond, map
  from torch import Tensor
  from torch.export import Constraint, Dim, dynamic_dim, export, unflatten, FlatArgsAdapter
  from torch.export._trace import DEFAULT_EXPORT_DYNAMO_CONFIG
  from torch._export import capture_pre_autograd_graph
  from torch._export.utils import get_buffer, get_param, is_buffer, is_param, register_dataclass_as_pytree_node
  from torch.export import Constraint, Dim, export
  from torch.fx.experimental.proxy_tensor import make_fx
  from torch.testing import FileCheck
  from torch.testing._internal.common_utils import run_tests, TestCase
  from torch.utils._pytree import LeafSpec, tree_flatten, tree_unflatten, TreeSpec, treespec_dumps, treespec_loads
label_desc: Use image node_id 13 for calling the TestUnflatten obj's underlying member method code with example usage: obj.test_placeholder_and_get_attr_ordering_after_unflattened() and returns: x