code: def test_invalid_pad(self, Conv3DImpl, DummyInputLayer):
      input_layer = DummyInputLayer((1, 2, 3, 3, 3))
      with pytest.raises(TypeError) as exc:
          layer = Conv3DImpl(
              input_layer,
              num_filters=16,
              filter_size=(3, 3, 3),
              pad="_nonexistent_mode",
          )
      assert "iterable of int" in exc.value.args[0]
  
      with pytest.raises(NotImplementedError) as exc:
          layer = Conv3DImpl(
              input_layer,
              num_filters=16,
              filter_size=(4, 4, 4),
              pad="same",
          )
      assert "requires odd filter size" in exc.value.args[0]
  
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 5 for calling the TestConv3DLayerImplementations obj's underlying member method code with example usage: obj.test_invalid_pad(Conv3DImpl, DummyInputLayer) without return types