docstr: This function is used to find and print the intermediate representation (IR) - Graph representation with Torch.FX features.
code: def trace_and_print_raw_fx_graph(
      cls, model, print_tabular=False, generate_python_code=False
  ):
      """This function is used to find and print the intermediate representation (IR) - Graph representation with Torch.FX features."""
  
      from torch.fx import symbolic_trace
      import traceback
  
      # Symbolic tracing frontend - captures the semantics of the module
      try:
          symbolic_traced: torch.fx.GraphModule = symbolic_trace(model)
      except Exception as ex:
          if (
              not torch.distributed.is_initialized()
              or torch.distributed.get_rank() == 0
          ):
              if cls.__verbosity > 0:
                  print(ex)
                  print(
                      "".join(
                          traceback.format_exception(
                              etype=type(ex),
                              value=ex,
                              tb=ex.__traceback__,
                          )
                      )
                  )
                  print(
                      "\n[print_raw_fx_graph] Meet the fatal fault when trying to symbolic trace the model with Torch.FX"
                  )
          return None
  
      # High-level intermediate representation (IR) - Graph representation
      if cls.__verbosity > 1:
          print(
              "\n[print_raw_fx_graph] Print the intermediate representation (IR) with Torch.FX"
          )
          print(symbolic_traced.graph)
  
      if print_tabular:
          print(
              "\n[print_raw_fx_graph] Print the intermediate representation (IR) with Torch.FX in a table format"
          )
          try:
              from tabulate import tabulate
  
              symbolic_traced.graph.print_tabular()
          except ImportError:
              if cls.__verbosity > 1:
                  print(
                      "[print_raw_fx_graph][Warning] 'print_tabular' relies on the library `tabulate`; run `pip install tabulate` to install it."
                  )
          except (
              AttributeError
          ):  # to avoid the AttributeError: 'Graph' object has no attribute 'print_tabular'
              if cls.__verbosity > 1:
                  print(
                      "[print_raw_fx_graph][Warning] 'print_tabular' function is not supported in current Torch version. Skip!"
                  )
  
      # Code generation - valid Python code
      if generate_python_code:
          print(
              "\n[print_raw_fx_graph] Create valid Python code matching the IR/Graph's semantics with Torch.FX"
          )
          print(symbolic_traced.code)
  
      return symbolic_traced
  
imports: import os
  import torch
  import json
  import string
  import time
  import numpy
  import sys
  import builtins
  import io
label_desc: Use image node_id 40 for calling the Permutation obj's underlying member method code with example usage: obj.trace_and_print_raw_fx_graph(cls, model, print_tabular, generate_python_code) and returns: symbolic_traced, None