new_contents: import unittest
  import numpy as np
  from op_test import OpTest
  
  
  def maxout_forward_naive(input, groups,num_channels):
      s0, s1, s2, s3 = input.shape
      return np.ndarray([s0, s1 / groups, groups, s2, s3], \
          buffer = input, dtype=input.dtype).max(axis=(2))
  
  
  class TestMaxOutOp(OpTest):
      def setUp(self):
          self.op_type = "maxout"
          self.init_test_case()
          input = np.random.random(self.shape).astype("float32")
          output = self.MaxOut_forward_naive(input, self.groups,
                  self.num_channels).astype("float32")
  
          self.inputs = {'X': input}
          self.attrs = {'groups': self.groups, 'num_channels': self.num_channels}
  
          self.outputs = {'Out': output.astype('float32')}
  
      def test_check_output(self):
          self.check_output()
  
      def test_check_grad(self):
          self.check_grad(['X'], 'Out')
  
      def init_test_case(self):
          self.MaxOut_forward_naive = maxout_forward_naive
          self.shape = [100, 6, 2, 2]
          self.groups=2
          self.num_channels=6
  
  
  
  
  if __name__ == '__main__':
      unittest.main()
  
subject: add test_maxout_op framework to fluis