code: def random_dataloader(
      model, total_samples, hidden_dim, device, dtype=torch.half
  ):
      batch_size = model.train_micro_batch_size_per_gpu()
      train_dataset = random_dataset(
          total_samples, hidden_dim, device, dtype=dtype
      )
      train_loader = torch.utils.data.DataLoader(
          train_dataset, batch_size=batch_size
      )
      return train_loader
  
imports: import os
  import json
  import argparse
  import torch
  from deepspeed.pipe import PipelineModule, LayerSpec
  from deepspeed.moe.layer import MoE
  import deepspeed.comm
label_desc: Use image node_id 2 for calling a global function with example usage: random_dataloader(model, total_samples, hidden_dim, device, dtype) and returns: train_loader