code: def should_build_data_loader(self):
      if self.neox_args.is_pipe_parallel:
          is_first_stage = mpu.get_pipe_parallel_rank() == 0
          is_last_stage = (
              mpu.get_pipe_parallel_rank()
              == mpu.get_pipe_parallel_world_size() - 1
          )
          pipe_load = is_first_stage or is_last_stage
      else:
          pipe_load = True
      return mpu.get_model_parallel_rank() == 0 and pipe_load
  
imports: import logging
  import pathlib
  import traceback
  from datetime import datetime
  import deepspeed
  import megatron.training
  import megatron.utils
  import torch
  from attrdict import AttrMap
  from det_utils import EarlyStoppingCallback, EvalHarness, LMReducers, TensorboardWriter, get_neox_args
  from megatron import mpu
  from megatron.checkpointing import load_checkpoint, save_checkpoint
  from megatron.data.data_utils import build_datasets_from_neox_args
  from determined import LOG_FORMAT, InvalidHP
  from determined.pytorch import DataLoader
  from determined.pytorch.deepspeed import DeepSpeedTrial, DeepSpeedTrialContext, ModelParallelUnit
label_desc: Use image node_id 2 for calling the GPT2Trial obj's underlying member method code with example usage: obj.should_build_data_loader() and returns: unknown