code: def setUp(self):
      super().setUp()
      master_port = get_master_port(real_launcher=False)
      self.dist_env_1_gpu = {
          "MASTER_ADDR": "localhost",
          "MASTER_PORT": master_port,
          "RANK": "0",
          "LOCAL_RANK": "0",
          "WORLD_SIZE": "1",
      }
  
      self.fsdp_config = {
          "backward_prefetch": "backward_pre",
          "forward_prefetch": "False",
          "limit_all_gathers": "False",
          "use_orig_params": "True",
          "sync_module_states": "True",
          "activation_checkpointing": "False",
          "min_num_params": 1,
      }
  
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 1 for calling the TrainerIntegrationFSDP obj's underlying member method code with example usage: obj.setUp() without return types