code: def test_unflatten_wrong_input(self):
      class Mod(torch.nn.Module):
          def __init__(self):
              super().__init__()
              self.param_list = torch.nn.ParameterList()
              self.param_dict = torch.nn.ParameterDict()
              for i in range(2):
                  self.param_list.append(
                      torch.nn.Parameter(torch.randn((2, 3)))
                  )
                  self.param_dict[f"key_{i}"] = torch.nn.Parameter(
                      torch.randn((2, 3))
                  )
  
          def forward(self, x):
              a = x.sum()
              for i in range(2):
                  a = a + self.param_list[i].sum()
                  a = a + self.param_dict[f"key_{i}"].sum()
              return a
  
      export_module = torch.export.export(Mod(), (torch.randn((2, 3)),))
      with self.assertRaisesRegex(
          RuntimeError,
          "Expected input l_x_.shape\[0\] to be equal to 2, but got 6",
      ):
          export_module(torch.randn(6, 6))
  
      unflattened = unflatten(export_module)
      with self.assertRaisesRegex(
          RuntimeError,
          "Expected input l_x_.shape\[0\] to be equal to 2, but got 6",
      ):
          unflattened(torch.randn(6, 6))
  
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 8 for calling the TestUnflatten obj's underlying member method code with example usage: obj.test_unflatten_wrong_input() and returns: a