code: def test_conv_without_bias(self):
      inp = layers.Input((5, 5, 1))
      conv = layers.Convolution((3, 3, 1), bias=None, weight=1)
  
      network = inp >> conv
      network.outputs
  
      x = asfloat(np.ones((1, 5, 5, 1)))
      expected_output = 9 * np.ones((1, 3, 3, 1))
      actual_output = self.eval(network.output(x))
  
      np.testing.assert_array_almost_equal(
          expected_output, actual_output
      )
  
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 15 for calling the ConvLayersTestCase obj's underlying member method code with example usage: obj.test_conv_without_bias() without return types