code: def batch_norm(attrs, inputs, proto_obj):
      
      new_attrs = translation_utils._fix_attribute_names(attrs, {'epsilon': 'eps',
                                                                 'is_test': 'fix_gamma'})
      new_attrs = translation_utils._remove_attributes(new_attrs,
                                                       ['spatial', 'consumed_inputs'])
      # Disable cuDNN BN only if epsilon from model is < than minimum cuDNN eps (1e-5)
      cudnn_min_eps = 1e-5
      cudnn_off = 0 if attrs.get('epsilon', cudnn_min_eps) >= cudnn_min_eps else 1
      new_attrs = translation_utils._add_extra_attributes(new_attrs, {'cudnn_off': cudnn_off})
  
      # in test mode "fix_gamma" should be unset.
      new_attrs['fix_gamma'] = not attrs.get('is_test', 1)
      return 'BatchNorm', new_attrs, inputs
docs: Batch normalization.