code: def forward_xp(self, inputs, xp):
      a, b = inputs
      # This cast was introduced in order to avoid decreasing precision.
      # ex.) x / y becomes a float16 array where x and y are an int8 arrays.
      a = dtype_utils.cast_if_numpy_array(xp, a, self.out_dtype)
      b = dtype_utils.cast_if_numpy_array(xp, b, self.out_dtype)
      with IgnoreNumpyFloatingPointError():
          y = self.func(xp, a, b)
      y = dtype_utils.cast_if_numpy_array(xp, y, self.out_dtype)
      return (y,)
  
imports: import unittest
  import numpy
  import chainerx
  from chainerx_tests import array_utils
  from chainerx_tests import dtype_utils
label_desc: Use image node_id 3 for calling the BinaryMathTestBase obj's underlying member method code with example usage: obj.forward_xp(inputs, xp) and returns: y