code: def test_dimshuffle_false_shapes(self, DummyInputLayer):
      try:
          from lasagne.layers.cuda_convnet import Conv2DCCLayer
      except ImportError:
          pytest.skip("cuda_convnet not available")
  
      input_layer = DummyInputLayer(
          (4, 32, 32, 128)
      )  # c01b instead of bc01
      layer = Conv2DCCLayer(
          input_layer,
          num_filters=16,
          filter_size=(3, 3),
          dimshuffle=False,
      )
      assert layer.W.get_value().shape == (4, 3, 3, 16)
      assert layer.b.get_value().shape == (16,)
  
      layer = Conv2DCCLayer(
          input_layer,
          num_filters=16,
          filter_size=(3, 3),
          dimshuffle=False,
          untie_biases=True,
      )
      assert layer.W.get_value().shape == (4, 3, 3, 16)
      assert layer.b.get_value().shape == (16, 30, 30)
  
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 4 for calling the TestConv2DCCLayer obj's underlying member method code with example usage: obj.test_dimshuffle_false_shapes(DummyInputLayer) without return types