code: def __init__(self, config):
      self.log_interval = config.get("log_interval", 10)
      self.use_cuda = config.get("use_cuda", False)
  
      if self.use_cuda:
          torch.cuda.set_device(hvd.local_rank())
  
      (
          self.model,
          self.optimizer,
          self.train_loader,
          self.train_sampler,
      ) = setup(config)
  
imports: import argparse
  import os
  import horovod.torch
  import torch.nn
  import torch.nn.functional
  import torch.optim
  import torch.utils.data.distributed
  from filelock import FileLock
  from torchvision import datasets, transforms
  import ray
  from ray import train
  from ray.train import ScalingConfig
  from ray.train.horovod import HorovodTrainer
label_desc: Use image node_id 1 to create a new HorovodTrainClass object  with example: obj = HorovodTrainClass(config)