code: def test_bias_as_module_attr(self):
      with enable_profiling_mode_for_profiling_tests():
  
          class M(torch.nn.Module):
              def __init__(self, has_bias):
                  super().__init__()
                  self.ll = torch.nn.Linear(10, 10, has_bias)
  
              def forward(self, x, y):
                  return self.ll(x + y) * x + y
  
          x = torch.rand(10, 10, requires_grad=True)
          no_bias = M(False)
          scripted_no_bias = torch.jit.script(no_bias)
          scripted_no_bias(x, x)
          scripted_no_bias(x, x)
          scripted_no_bias(x, x)
          has_bias = M(True)
          check_against_reference(
              self,
              scripted_no_bias,
              no_bias,
              lambda x: x,
              (
                  x,
                  x,
              ),
              check_types=False,
          )
          scripted_has_bias = torch.jit.script(has_bias)
          scripted_has_bias(x, x)
          scripted_has_bias(x, x)
          scripted_has_bias(x, x)
          check_against_reference(
              self,
              scripted_has_bias,
              has_bias,
              lambda x: x,
              (
                  x,
                  x,
              ),
              check_types=False,
          )
  
imports: import os
  import sys
  import unittest
  from torch.testing._internal.common_utils import GRAPH_EXECUTOR, ProfilingMode, num_profiled_runs, enable_profiling_mode_for_profiling_tests
  from torch.testing._internal.common_jit import check_against_reference
  import torch
  from torch.testing._internal.jit_utils import JitTestCase, disable_autodiff_subgraph_inlining
  from torch.testing import FileCheck
  from typing import List, Tuple, Optional
label_desc: Use image node_id 5 for calling the TestAutodiffSubgraphSlicing obj's underlying member method code with example usage: obj.test_bias_as_module_attr() and returns: unknown