code: def _parameters(self, requires_grad=True):
      return [
          torch.tensor([[1.0, 2.0]], requires_grad=requires_grad),
          torch.tensor([[3.0, 4.0]], requires_grad=requires_grad),
      ]
  
imports: from abc import ABC, abstractmethod
  from unittest.mock import MagicMock
  import torch
  import torch.nn
  from classy_vision.generic.util import split_batchnorm_params
  from classy_vision.models import ClassyModel
  from classy_vision.optim import build_optimizer, build_optimizer_schedulers
  from classy_vision.optim.param_scheduler import LinearParamScheduler
label_desc: Use image node_id 4 for calling the TestOptimizer obj's underlying member method code with example usage: obj._parameters(requires_grad) and returns: list