code: def _get_simple_model(inplace=False):
      model = SimpleLRPModel(inplace)
      inputs = torch.tensor([[1.0, 2.0, 3.0]])
  
      return model, inputs
  
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 2 for calling a global function with example usage: _get_simple_model(inplace) and returns: model,  inputs