code: def test_constructed_bias(self):
      with enable_profiling_mode_for_profiling_tests():
  
          def method1(x, weight, b1, b2):
              bias = b1 * b2
              return torch.nn.functional.linear(x, weight, bias)
  
          N = 10
          x = torch.rand(N, N, requires_grad=True)
          weight = torch.rand(N, N, requires_grad=True)
          b1 = torch.rand(N, N, requires_grad=True)
          b2 = torch.rand(N, N, requires_grad=True)
          scripted = self.checkScript(method1, (x, weight, b1, b2))
          # 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, b1, b2),
              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 6 for calling the TestAutodiffSubgraphSlicing obj's underlying member method code with example usage: obj.test_constructed_bias() and returns: torch