code: def test_conv(self):
      class LilModel:
          def __init__(self):
              self.c = Conv2d(12, 32, 3, padding=1, bias=False)
  
          def forward(self, x):
              return self.c(x).relu()
  
      lm = LilModel()
      model_step(lm)
  
file_path: tinygrad/test/external/graph_batchnorm.py
imports: import unittest
  from tinygrad.nn.state import get_parameters
  from tinygrad.tensor import Tensor
  from tinygrad.nn import Conv2d, BatchNorm2d, optim
label_desc: Use image node_id 1 for calling the TestBatchnorm obj's underlying member method code with example usage: obj.test_conv() and returns: self