code: def __init__(self):
      super(Net, self).__init__()
      self.conv1 = nn.Conv2d(1, 10, kernel_size=5)
      self.conv2 = nn.Conv2d(10, 20, kernel_size=5)
      self.conv2_drop = nn.Dropout2d()
      self.fc1 = nn.Linear(320, 50)
      self.fc2 = nn.Linear(50, 10)
  
file_path: ray/python/ray/tests/horovod/horovod_example.py
imports: import argparse
  import os
  from filelock import FileLock
  import torch.nn
  import torch.nn.functional
  import torch.optim
  from torchvision import datasets, transforms
  import torch.utils.data.distributed
  import horovod.torch
  from horovod.ray import RayExecutor
label_desc: Use image node_id 1 to create a new Net object from inherited base classes: nn with example: obj = Net()