code: def __init__(self):
      super(Net, self).__init__()
      self.conv1 = nn.Conv2d(1, 20, 5, 1)
      self.conv2 = nn.Conv2d(20, 50, 5, 1)
      self.fc1 = nn.Linear(4 * 4 * 50, 500)
      self.fc2 = nn.Linear(500, 10)
  
file_path: MachineLearningNotebooks/how-to-use-azureml/ml-frameworks/using-mlflow/train-and-deploy-pytorch/scripts/train.py
imports: import mlflow
  import mlflow.pytorch
  from mlflow.utils.environment import _mlflow_conda_env
  import warnings
  import cloudpickle
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.optim
  import torchvision
  from torchvision import datasets, transforms
label_desc: Use image node_id 1 to create a new Net object from inherited base classes: nn with example: obj = Net()