code: def __init__(self):
      super().__init__()
      self.conv0 = M.Conv2d(1, 20, kernel_size=5, bias=False)
      self.bn0 = M.BatchNorm2d(20)
      self.relu0 = M.ReLU()
      self.pool0 = M.MaxPool2d(2)
      self.conv1 = M.Conv2d(20, 20, kernel_size=5, bias=False)
      self.bn1 = M.BatchNorm2d(20)
      self.relu1 = M.ReLU()
      self.pool1 = M.MaxPool2d(2)
      self.fc0 = M.Linear(500, 64, bias=True)
      self.relu2 = M.ReLU()
      self.fc1 = M.Linear(64, 10, bias=True)
  
file_path: clearml/examples/frameworks/megengine/megengine_mnist.py
imports: import argparse
  import os
  import sys
  from tempfile import gettempdir
  import numpy
  from clearml import Task
  from tensorboardX import SummaryWriter
label_desc: Use image node_id 1 to create a new Net object from inherited base class: M with example: obj = Net()