code: def __init__(self):
      super(Model, self).__init__()
      self.conv1 = nn.Conv2d(3, 6, 5)
      self.pool = nn.MaxPool2d(2, 2)
      self.conv2 = nn.Conv2d(6, 16, 5)
      self.fc1 = nn.Linear(16 * 5 * 5, 120)
      self.fc2 = nn.Linear(120, 84)
      self.fc3 = nn.Linear(84, 10)
      self.loss_fn = nn.CrossEntropyLoss()
  
file_path: clearml/examples/frameworks/openmmlab/openmmlab_cifar10.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  import torch.optim
  import torchvision.transforms
  from mmcv.parallel import MMDataParallel
  from mmcv.runner import EpochBasedRunner
  from mmcv.utils import get_logger
  from torch.utils.data import DataLoader
  from torchvision.datasets import CIFAR10
label_desc: Use image node_id 1 to create a new Model object from inherited base classes: nn with example: obj = Model()