code: def get_model_specs(model_name):
      """Return a dict with configurations required for configuring `model_name` model."""
  
      if model_name == "lm":
          return lm_wikitext2.get_model_config()
      else:
          raise RuntimeError(
              "Unrecognized args.model_mame " % args.model_name
          )
  
imports: import argparse
  from collections import defaultdict
  from functools import reduce
  import gc
  import logging
  import math
  import operator
  import time
  from datasets.wikitext2_data import get_real_dataloaders
  from datasets.wikitext2_data import get_synthetic_dataloaders
  from models import transformer_lm
  import numpy
  import torch
  import torch.distributed
  import torch.multiprocessing
  from torch.nn.parallel import DistributedDataParallel
  from torch.optim import Adam
  from benchmarks.golden_configs.lm_wikitext2 import FSDP
  from fairscale.nn import auto_wrap, default_auto_wrap_policy, enable_wrap
  from fairscale.nn.data_parallel import FullyShardedDataParallel
label_desc: Use image node_id 17 for calling a global function with example usage: get_model_specs(model_name) and returns: lm_wikitext2