code: def test_convlayer_3d_relu_shape(self):
      input_param = {
          "n_output_chns": 10,
          "kernel_size": [5, 1, 2],
          "stride": [1, 2, 2],
          "with_bias": False,
          "feature_normalization": "batch",
          "acti_func": "relu",
          "w_regularizer": regularizers.l2_regularizer(0.5),
          "b_regularizer": regularizers.l2_regularizer(0.5),
      }
      self._test_conv_layer_output_shape(
          rank=3,
          param_dict=input_param,
          output_shape=(2, 16, 8, 8, 10),
          is_training=True,
      )
  
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 27 for calling the ConvTest obj's underlying member method code with example usage: obj.test_convlayer_3d_relu_shape() without return types