code: def __init__(self):
      super().__init__(2, 3, (4, 4), bias=False)
      # add another (unused) layer for added complexity and to test parameters
      self.linear = nn.Linear(4, 5, bias=False)
  
imports: import unittest
  import torch
  import torch.nn
  from classy_vision.generic.profiler import compute_activations, compute_flops, count_params, get_shape
  from classy_vision.models import build_model
  from test.generic.config_utils import get_test_model_configs
label_desc: Use image node_id 1 to create a new TestConvModule object from inherited base classes: nn with example: obj = TestConvModule()