code: def checkTrace(self, m, x, dtype=torch.float32, *args, **kwargs):
      if isinstance(m, torch.nn.Module):
          m.eval()
      with torch.no_grad(), torch._jit_internal._disable_emit_hooks():
          if dtype == torch.bfloat16:
              # We rely upon eager-mode AMP support for BF16
              with torch.cpu.amp.autocast(
                  cache_enabled=False, dtype=torch.bfloat16
              ):
                  traced = torch.jit.trace(m, x)
                  if isinstance(m, torch.nn.Module):
                      traced = torch.jit.freeze(traced)
                  warmup_forward(traced, *x)
                  ref_o = m(*x)
                  fwd_graph = traced.graph_for(*x)
          else:
              traced = torch.jit.trace(m, x)
              if isinstance(m, torch.nn.Module):
                  traced = torch.jit.freeze(traced)
              warmup_forward(traced, *x)
              ref_o = m(*x)
              fwd_graph = traced.graph_for(*x)
  
          jit_o = traced(*x)
          self.assertEqual(jit_o, ref_o)
          return traced, fwd_graph
  
imports: import sys
  import torch
  import unittest
  import itertools
  import torch.nn
  from functools import wraps
  from concurrent import futures
  import torch.nn.functional
  import torch.fx.experimental.optimization
  from torch.testing._internal.jit_utils import JitTestCase
  from torch.testing._internal.common_utils import run_tests, TEST_SCIPY, IS_WINDOWS, IS_MACOS
  from torch.testing._internal.common_device_type import instantiate_device_type_tests, onlyCPU, dtypes
label_desc: Use image node_id 3 for calling the JitLlgaTestCase obj's underlying member method code with example usage: obj.checkTrace(m, x, dtype) and returns: traced,  fwd_graph