code: def test_basic_run(self, sharding_strategy, dtype):
      launcher = get_launcher(distributed=True, use_accelerate=False)
      output_dir = self.get_auto_remove_tmp_dir()
      args = self.get_base_args(output_dir, 1, 50).split() + [
          f"--{dtype}"
      ]
      fsdp_args = [
          "--fsdp",
          f"{sharding_strategy} auto_wrap",
          "--fsdp_transformer_layer_cls_to_wrap",
          "BertLayer",
      ]
      script = [
          f"{self.examples_dir_str}/pytorch/text-classification/run_glue.py"
      ]
      cmd = launcher + script + args + fsdp_args
      execute_subprocess_async(cmd, env=self.get_env())
  
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 4 for calling the TrainerIntegrationFSDP obj's underlying member method code with example usage: obj.test_basic_run(sharding_strategy, dtype) without return types