code: def check_forward(self, x_data):
      xp = cuda.get_array_module(x_data)
      y = maximum_entropy_mellowmax(x_data)
      self.assertEqual(y.array.dtype, self.dtype)
  
      print("y", y.array)
  
      # Outputs must be positive
      xp.testing.assert_array_less(xp.zeros_like(y.array), y.array)
  
      # Sums must be ones
      sums = xp.sum(y.array, axis=1)
      testing.assert_allclose(sums, xp.ones_like(sums))
  
      # Expectations must be equal to memllowmax's outputs
      testing.assert_allclose(
          xp.sum(y.array * x_data, axis=1),
          mellowmax(x_data, axis=1).array,
      )
  
imports: import unittest
  from chainer import cuda
  from chainer import testing
  from chainer.testing import attr
  from chainer.testing import condition
  import numpy
  from chainerrl.functions.mellowmax import maximum_entropy_mellowmax
  from chainerrl.functions.mellowmax import mellowmax
label_desc: Use image node_id 2 for calling the TestMaximumEntropyMellowmax obj's underlying member method code with example usage: obj.check_forward(x_data) without return types