code: def createFunctionFromGraph(self, trace):
      graph = (
          trace if isinstance(trace, torch._C.Graph) else trace.graph()
      )
      return torch._C._create_function_from_graph("forward", graph)
  
imports: import torch
  import torch.cuda
  import torch.jit
  import torch.jit._logging
  import torch.jit.frontend
  import torch.jit.quantized
  from torch.testing._internal.common_dtype import floating_and_complex_types_and
  from torch.testing._internal.common_utils import TestCase, freeze_rng_state, TemporaryFileName, enable_profiling_mode_for_profiling_tests, is_iterable_of_tensors
  from torch.testing._internal.common_utils import enable_profiling_mode
  from itertools import chain
  from typing import List, Union
  from torch._C import TensorType
  import io
label_desc: Use image node_id 1 for calling the JitCommonTestCase obj's underlying member method code with example usage: obj.createFunctionFromGraph(trace) and returns: torch