code: def test_get_params(self, Conv2DImpl, DummyInputLayer):
      input_layer = DummyInputLayer((128, 3, 32, 32))
      layer = Conv2DImpl(
          input_layer, num_filters=16, filter_size=(3, 3)
      )
      assert layer.get_params() == [layer.W, layer.b]
      assert layer.get_params(regularizable=False) == [layer.b]
      assert layer.get_params(regularizable=True) == [layer.W]
      assert layer.get_params(trainable=True) == [layer.W, layer.b]
      assert layer.get_params(trainable=False) == []
      assert layer.get_params(_nonexistent_tag=True) == []
      assert layer.get_params(_nonexistent_tag=False) == [
          layer.W,
          layer.b,
      ]
  
imports: import numpy
  import pytest
  import importlib
  import theano
  from theano import tensor
  import lasagne
  from lasagne.utils import floatX, as_tuple
label_desc: Use image node_id 6 for calling the TestConv2DLayerImplementations obj's underlying member method code with example usage: obj.test_get_params(Conv2DImpl, DummyInputLayer) without return types