code: def test_bias_as_arg(self):
      with enable_profiling_mode_for_profiling_tests():
  
          def method1(x, weight, bias: Optional[torch.Tensor]):
              return (
                  torch.nn.functional.linear(x, weight, bias).relu() + 2
              )
  
          N = 10
          x = torch.rand(N, N, requires_grad=True)
          weight = torch.rand(N, N, requires_grad=True)
          bias = None
          scripted = self.checkScript(method1, (x, weight, bias))
          # check_types requires last_graph on scripted to be set, so we just skip it
          check_against_reference(
              self,
              scripted,
              method1,
              lambda x: x,
              (x, weight, bias),
              check_types=False,
          )
          bias = torch.rand(N, N, requires_grad=True)
          scripted = self.checkScript(method1, (x, weight, bias))
          # check_types requires last_graph on scripted to be set, so we just skip it
          check_against_reference(
              self,
              scripted,
              method1,
              lambda x: x,
              (x, weight, bias),
              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 7 for calling the TestAutodiffSubgraphSlicing obj's underlying member method code with example usage: obj.test_bias_as_arg() and returns: unknown