code: def _get_basic_config():
      input = torch.arange(16).view(1, 1, 4, 4).float()
      return BasicModel_ConvNet_One_Conv(), input
  
imports: import torch
  import torch.nn
  from captum.attr import LayerLRP
  from captum.attr._utils.lrp_rules import Alpha1_Beta0_Rule, EpsilonRule, GammaRule
  from ...helpers.basic import assertTensorAlmostEqual, BaseTest
  from ...helpers.basic_models import BasicModel_ConvNet_One_Conv, SimpleLRPModel
label_desc: Use image node_id 1 for calling a global function with example usage: _get_basic_config() and returns: BasicModel_ConvNet_One_Conv,  input