code: def parse_args(argv: List[str]) -> argparse.Namespace:
      parser = argparse.ArgumentParser(
          description="TorchRec test installation"
      )
      parser.add_argument("--cpu_only", action="store_true")
      return parser.parse_args(argv)
  
file_path: torchrec/test_installation.py
imports: import argparse
  import os
  import sys
  from typing import Iterator, List
  import torch
  import torch.distributed
  from torch.distributed.elastic.multiprocessing.errors import record
  from torchrec import EmbeddingBagCollection, KeyedJaggedTensor
  from torchrec.distributed.model_parallel import DistributedModelParallel
  from torchrec.models.dlrm import DLRM
  from torchrec.modules.embedding_configs import EmbeddingBagConfig
  from torchrec.optim.keyed import KeyedOptimizerWrapper
  from torchrec.optim.optimizers import in_backward_optimizer_filter
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args(argv) and returns: parser