code: def test_conv_3d_bias_reg_shape(self):
      input_param = {
          "n_output_chns": 10,
          "kernel_size": [3, 1, 3],
          "stride": [2, 2, 2],
          "with_bias": True,
          "w_regularizer": regularizers.l2_regularizer(0.5),
          "b_regularizer": regularizers.l2_regularizer(0.5),
      }
      self._test_conv_output_shape(
          rank=3, param_dict=input_param, output_shape=(2, 8, 8, 8, 10)
      )
  
imports: from __future__ import division, absolute_import, print_function
  import functools
  import numpy
  import tensorflow
  from tensorflow.contrib.layers.python.layers import regularizers
  from niftynet.layer.convolution import ConvLayer
  from niftynet.layer.convolution import ConvolutionalLayer
  from tests.niftynet_testcase import NiftyNetTestCase
label_desc: Use image node_id 20 for calling the ConvTest obj's underlying member method code with example usage: obj.test_conv_3d_bias_reg_shape() without return types