code: def __init__(self):
      super().__init__()
      self.conv1 = ConvX(1, 3, 4)
      self.param = torch.nn.Parameter(torch.FloatTensor(5).uniform_())
  
imports: from types import SimpleNamespace
  import torch
  import deepspeed
  from deepspeed.runtime.zero.partition_parameters import ZeroParamStatus, partitioned_param_data_shape
  import deepspeed.comm
  from unit.common import DistributedTest
  from unit.simple_model import SimpleModel
  from utils import setup_serial_env
label_desc: Use image node_id 1 to create a new ConvNet object from inherited base classes: torch.nn with example: obj = ConvNet()