code: def run_cmd_and_get_logs(
      self,
      use_accelerate,
      sharding_strategy,
      launcher,
      script,
      args,
      output_dir,
  ):
      if not use_accelerate:
          fsdp_args = [
              "--fsdp",
              f"{sharding_strategy} auto_wrap",
              "--fsdp_transformer_layer_cls_to_wrap",
              "BertLayer",
          ]
          cmd = launcher + script + args + fsdp_args
      else:
          fsdp_config = f"""
                  --fsdp_sharding_strategy {FSDP_SHARDING_STRATEGY.index(sharding_strategy.upper()) + 1}
              """.split()
          cmd = launcher + fsdp_config + script + args
  
      # keep for quick debug
      # print(" ".join([f"\nPYTHONPATH={self.src_dir_str}"] +cmd)); die
      execute_subprocess_async(cmd, env=self.get_env())
      logs = TrainerState.load_from_json(
          os.path.join(output_dir, "trainer_state.json")
      ).log_history
      return logs
  
imports: import itertools
  import os
  import unittest
  from functools import partial
  from parameterized import parameterized
  import tests.trainer.test_trainer
  from tests.trainer.test_trainer import TrainerIntegrationCommon
  from transformers import is_torch_available
  from transformers.testing_utils import TestCasePlus, backend_device_count, execute_subprocess_async, mockenv_context, require_accelerate, require_fsdp, require_torch_accelerator, require_torch_multi_accelerator, slow, torch_device
  from transformers.trainer_callback import TrainerState
  from transformers.trainer_utils import FSDPOption, set_seed
  from transformers.utils import is_accelerate_available, is_torch_bf16_available_on_device
label_desc: Use image node_id 7 for calling the TrainerIntegrationFSDP obj's underlying member method code with example usage: obj.run_cmd_and_get_logs(use_accelerate, sharding_strategy, launcher, script, args, output_dir) and returns: logs