code: def test_batchnorm(self, num_features, eps, backend):
      model = nn.BatchNorm2d(num_features, eps)
      run_compare_torch((1, num_features, 5, 5), model, backend=backend)
  
imports: import sys
  from coremltools.converters.mil import testing_reqs
  from coremltools.converters.mil.testing_reqs import *
  from .testing_utils import *
label_desc: Use image node_id 1 for calling the TestBatchNorm obj's underlying member method code with example usage: obj.test_batchnorm(num_features, eps, backend) without return types