code: def _download_fancy_data(self):
      text = """
      An original sentence not subject to any license restrictions, copyright, or royalty payments. Nothing to see here. Commercial or non-commercial use. Research or non-research purposes. The quick brown fox jumps over the lazy dog. Lorem ipsum.
      """
      text = text * 1024
      encoded = text.encode("ascii", "replace")
      ints = [int(encoded[i]) for i in range(len(encoded))]
      return torch.tensor(ints)
  
imports: from functools import partial
  from typing import List
  import time
  import torch
  import unittest
  from apex.transformer._ucc_util import HAS_UCC
  from apex.transformer import parallel_state
  from apex.transformer.enums import ModelType
  from apex.transformer.tensor_parallel import model_parallel_cuda_manual_seed
  from apex.transformer.pipeline_parallel.utils import average_losses_across_data_parallel_group, unwrap_model, setup_microbatch_calculator, get_ltor_masks_and_position_ids
  from apex.transformer.pipeline_parallel.schedules.common import _get_params_for_weight_decay_optimization, build_model
  from apex.transformer.pipeline_parallel.schedules.fwd_bwd_pipelining_without_interleaving import forward_backward_pipelining_without_interleaving
  from apex.transformer.testing.standalone_gpt import gpt_model_provider
  from apex.transformer.testing import global_vars
  from apex.transformer.testing.distributed_test_base import UccDistributedTestBase, NcclDistributedTestBase
  from torch.testing._internal import common_utils
  from torch.testing._internal.common_device_type import instantiate_device_type_tests
label_desc: Use image node_id 1 for calling the GptTestBase obj's underlying member method code with example usage: obj._download_fancy_data() and returns: torch