code: def __init__(self, num_classes=1000):
      super().__init__()
      self.features = nn.Sequential(
          nn.LeakyReLU(0.02),
          nn.BatchNorm2d(3),
          nn.AvgPool2d(
              kernel_size=3, stride=2, padding=1, ceil_mode=False
          ),
      )
  
file_path: pytorch/test/onnx/model_defs/op_test.py
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new DummyNet object from inherited base classes: nn with example: obj = DummyNet(num_classes)