code: def test_running_of_different_activation_modes(self):
      # just tests that things run, not a test for values
      for mode in layers.NonlinearMxtsMode.vals:
          out_layer = layers.ReLU(nonlinear_mxts_mode=mode)
          (
              fprop_results,
              bprop_results_each_task,
          ) = self.set_up_prediction_func_and_deeplift_func(out_layer)
  
file_path: deeplift/tests/layers/test_activation.py
imports: from __future__ import division
  from __future__ import print_function
  from __future__ import absolute_import
  import unittest
  from unittest import skip
  import sys
  import os
  import numpy
  import deeplift.layers
  from deeplift.layers import DenseMxtsMode
  from deeplift.util import compile_func
  import tensorflow
label_desc: Use image node_id 5 for calling the TestActivations obj's underlying member method code with example usage: obj.test_running_of_different_activation_modes() without return types