code: def get_next_batch(self):
      inp, out, _, _ = self.tcmf_data_loader.next_batch()
      # if hvd.is_initialized():
      try:
          num_workers = hvd.size()
          per_worker = inp.shape[0] // num_workers
          inp_parts = torch.split(inp, per_worker)
          out_parts = torch.split(out, per_worker)
          worker_id = hvd.rank()
          inp = inp_parts[worker_id]
          out = out_parts[worker_id]
      except:
          pass
      return inp, out
  
imports: import torch
  import torch.nn
  import torch.optim
  from torch.utils.data import DataLoader
  import torch.distributed
  from bigdl.chronos.model.tcmf.local_model import TemporalConvNet
  import ray
  import horovod.torch
label_desc: Use image node_id 3 for calling the TcmfTrainDatasetHorovod obj's underlying member method code with example usage: obj.get_next_batch() and returns: inp,  out