code: def check_call(self, x_data):
      with chainer.using_config("use_cudnn", self.use_cudnn):
          x = chainer.Variable(x_data)
          actual = self.mlp(x)
          act = functions.sigmoid
          expect = self.mlp[2](act(self.mlp[1](act(self.mlp[0](x)))))
      numpy.testing.assert_array_equal(
          cuda.to_cpu(expect.data), cuda.to_cpu(actual.data)
      )
  
imports: import unittest
  import mock
  import numpy
  import chainer
  from chainer.backends import cuda
  from chainer import functions
  from chainer import links
  from chainer import testing
  from chainer.testing import attr
label_desc: Use image node_id 3 for calling the TestMLPConvolution2D obj's underlying member method code with example usage: obj.check_call(x_data) without return types