code: def forward_chainerx(self, inputs):
      (x,) = inputs
      y = chainerx.max_pool(
          x,
          ksize=self.ksize,
          stride=self.stride,
          pad=self.pad,
          cover_all=self.cover_all,
      )
  
      # This function can return -inf (or huge negative numbers in case of
      # CUDA) around boundaries.
      # Convert them to finite numbers in order to properly calculate numeric
      # gradients.
      y = chainerx.maximum(y, -1e4)
      return (y,)
  
imports: import functools
  from operator import mul
  import unittest
  import chainer
  import numpy
  import pytest
  import chainerx
  from chainerx_tests import op_utils
label_desc: Use image node_id 3 for calling the TestMaxPool obj's underlying member method code with example usage: obj.forward_chainerx(inputs) and returns: y