code: def test_mixed_param_lists():
      model = MixedInferenceModel()
  
      layer = MixedLayer(model)
  
      assert layer.list_1.deps.n_params == 1
      assert layer.list_2.deps.n_params == 2
  
imports: import pytest
  import torch
  from deepspeed.inference.v2.allocator import on_device
  from deepspeed.inference.v2.inference_parameter import InferenceParameter
  from deepspeed.inference.v2.model_implementations.parameter_base import ParameterBase, ParamList
  from deepspeed.inference.v2.model_implementations.layer_container_base import LayerContainer
  from deepspeed.inference.v2.model_implementations.common_parameters import *
  from .utils import validate_device
label_desc: Use image node_id 2 for calling a global function with example usage: test_mixed_param_lists() without return types