docstr: Permute a model's weights in order to maintain more magnitude after enforcing the sparsity constraint.
code: def permute_model(
      cls,
      model,
      dump_fx_graph=False,
      save_dumped_fx_graph="./model_permutation_graph.json",
  ):
      """Permute a model's weights in order to maintain more magnitude after enforcing the sparsity constraint."""
  
      if cls.__verbosity > 0:
          print("\n[permute_model] Permuting the model")
  
      # extract the output_dir, so all the intermediate fx_graph can be saved under that path
      extract_output_dir = os.path.split(save_dumped_fx_graph)[0]
      cls.__permutation_output_dir = extract_output_dir
      fx_graph, success_in_build_fx_graph = cls.build_fx_graph(
          model,
          dump_fx_graph=dump_fx_graph,
          save_dumped_fx_graph=save_dumped_fx_graph,
      )
  
      if success_in_build_fx_graph:
          fx_graph_after_init_flags = cls.init_permutation_flags(
              fx_graph
          )
          fx_graph_after_find_real_parents = cls.find_real_parents(
              fx_graph_after_init_flags
          )
          fx_graph_after_find_real_children = cls.find_real_children(
              fx_graph_after_find_real_parents
          )
          fx_graph_after_making_groups = (
              cls.make_sibling_coparent_groups(
                  fx_graph_after_find_real_children
              )
          )
          fx_graph_after_fixup_concats = cls.fixup_concats(
              fx_graph_after_making_groups
          )
          fx_graph_after_enforce_dimension_agreement = (
              cls.enforce_dimension_agreement(
                  fx_graph_after_fixup_concats
              )
          )
          fx_graph_after_propagate_flags = (
              cls.propagate_permutation_flags(
                  fx_graph_after_enforce_dimension_agreement
              )
          )
  
          start_time_search_for_good_permutation = time.perf_counter()
          fx_graph_after_find_permutations = cls.find_permutations(
              fx_graph_after_propagate_flags
          )
  
          if torch.distributed.is_initialized():
              if cls.__verbosity > 0:
                  duration_search_for_good_permutation = (
                      time.perf_counter()
                      - start_time_search_for_good_permutation
                  )
                  print(
                      f"[permute_model] Rank {torch.distributed.get_rank()} completed search in {duration_search_for_good_permutation:.2f}s, waiting for others.",
                      force=True,
                  )
              torch.distributed.barrier()
  
          duration_search_for_good_permutation = (
              time.perf_counter()
              - start_time_search_for_good_permutation
          )
          if cls.__verbosity > 0:
              print(
                  "\n[permute_model] Take {:.4f} seconds to finish search_for_good_permutation function.".format(
                      duration_search_for_good_permutation
                  )
              )
  
          fx_graph_after_sync_permutations = cls.sync_permutations(
              fx_graph_after_find_permutations
          )
          fx_graph_after_apply_permutations = cls.apply_permutations(
              fx_graph_after_sync_permutations
          )
          cls.check_graph_for_unpermuted_nodes(
              fx_graph_after_apply_permutations
          )
  
          fx_graph = fx_graph_after_apply_permutations
  
      if cls.__save_permutation_graph:
          cls.save_graph_to_json(
              fx_graph,
              save_dumped_graph_path_with_name=os.path.join(
                  cls.__permutation_output_dir,
                  "./model_graph_permutation_graph.json",
              ),
          )  # save the intermediate graph as JSON file for debugging
  
      return success_in_build_fx_graph
  
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 6 for calling the Permutation obj's underlying member method code with example usage: obj.permute_model(cls, model, dump_fx_graph, save_dumped_fx_graph) and returns: success_in_build_fx_graph