code: def test_with_nones(
      self,
      TransposedConv3DLayerImpl,
      DummyInputLayer,
      input,
      kernel,
      output,
      kwargs,
  ):
      if kwargs.get("untie_biases", False):
          pytest.skip()
      b, c, d, h, w = input.shape
      input_layer = DummyInputLayer((None, c, None, None, None))
      try:
          layer = TransposedConv3DLayerImpl(
              input_layer,
              num_filters=kernel.shape[0],
              filter_size=kernel.shape[2:],
              W=kernel.transpose(1, 0, 2, 3, 4),
              **kwargs,
          )
          if "output_size" not in kwargs or isinstance(
              kwargs["output_size"], T.Variable
          ):
              assert layer.output_shape == (
                  None,
                  output.shape[1],
                  None,
                  None,
                  None,
              )
          actual = layer.get_output_for(input).eval()
          assert actual.shape == output.shape
          assert np.allclose(actual, output)
          # Check get_output_shape_for for non symbolic output
          if "output_size" in kwargs and not isinstance(
              kwargs["output_size"], T.Variable
          ):
              assert (
                  layer.get_output_shape_for(input.shape)
                  == output.shape
              )
              # The layer should report the output size even when it
              # doesn't know most of the input size
              assert (
                  layer.output_shape
                  == (None, output.shape[1]) + kwargs["output_size"]
              )
      except NotImplementedError:
          pytest.skip()
  
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 3 for calling the TestTransposedConv3DLayer obj's underlying member method code with example usage: obj.test_with_nones(TransposedConv3DLayerImpl, DummyInputLayer, input, kernel, output, kwargs) without return types