code: def _get_simple_model(inplace: bool = False) -> Tuple[Module, Tensor]:
      model = SimpleLRPModel(inplace)
      inputs = torch.tensor([[1.0, 2.0, 3.0]])
  
      return model, inputs
  
imports: from typing import cast, Tuple
  import torch
  import torch.nn
  from captum.attr import InputXGradient, LRP
  from captum.attr._utils.lrp_rules import Alpha1_Beta0_Rule, EpsilonRule, GammaRule, IdentityRule
  from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
  from tests.helpers.basic_models import BasicModel_ConvNet_One_Conv, BasicModel_MultiLayer, BasicModelWithReusedLinear, SimpleLRPModel
  from torch import Tensor
  from torch.nn import Module
label_desc: Use image node_id 3 for calling a global function with example usage: _get_simple_model(inplace) and returns: model,  inputs