code: def test_module_inplace_construct(self):
      class M(nn.Module):
          def __init__(self, start: int):
              super().__init__()
              self.linear = nn.Linear(3, 3)
              self.attribute = start
              self.parameter = nn.Parameter(
                  torch.tensor(3, dtype=torch.float)
              )
  
          def method(self) -> int:
              return self.attribute
  
          @torch.jit.unused
          def unused_method(self):
              return self.attribute + self.attribute
  
          def forward(self, x):
              return self.linear(self.linear(x))
  
      class N(nn.Module):
          def __init__(self):
              super().__init__()
              self.linear = nn.Linear(4, 4)
  
          @torch.jit.ignore
          def ignored_method(self, x):
              return x
  
          def forward(self, x):
              return self.linear(x)
  
      m = torch.jit.script(M(3))
      n = torch.jit.script(N())
  
      n._reconstruct(m._c)
  
      inp = torch.rand((3))
  
      # Check that both modules produce the same output.
      with torch.no_grad():
          m_out = m(inp)
          n_out = n(inp)
          self.assertEqual(m_out, n_out)
  
      # Check that ignored method is still intact.
      self.assertEqual(inp, n.ignored_method(inp))
  
imports: import os
  import sys
  from typing import Any, List, Tuple
  from collections import OrderedDict
  import torch
  import torch.nn
  from torch.testing._internal.jit_utils import JitTestCase
label_desc: Use image node_id 15 for calling the TestModuleContainers obj's underlying member method code with example usage: obj.test_module_inplace_construct() and returns: self, unknown, self, x, self