code: def test_conv_unknown_dim_size(self):
      shape = conv_output_shape(
          dimension_size=None,
          filter_size=5,
          padding="VALID",
          stride=5,
      )
      self.assertEqual(shape, None)
  
imports: import random
  from itertools import product
  from collections import namedtuple
  import numpy
  import tensorflow
  from neupy import layers
  from neupy.utils import asfloat, shape_to_tuple
  from neupy.layers.convolutions import conv_output_shape, deconv_output_shape
  from neupy.exceptions import LayerConnectionError
  from base import BaseTestCase
label_desc: Use image node_id 10 for calling the ConvLayersTestCase obj's underlying member method code with example usage: obj.test_conv_unknown_dim_size() without return types