code: def check_forward(self, x_data):
      slices = []
      for i, s in enumerate(self.slices):
          if isinstance(s, numpy.ndarray):
              s = chainer.backends.cuda.cupy.array(s)
          if isinstance(s, list):
              s = chainer.backends.cuda.cupy.array(s, dtype=numpy.int32)
          slices.append(s)
      slices = tuple(slices)
      x = chainer.Variable(x_data)
      y = functions.get_item(x, slices)
      self.assertEqual(y.data.dtype, numpy.float32)
      numpy.testing.assert_equal(
          cuda.to_cpu(x_data)[self.slices], cuda.to_cpu(y.data)
      )
  
imports: import unittest
  import numpy
  import chainer
  from chainer.backends import cuda
  from chainer import functions
  from chainer import gradient_check
  from chainer import testing
  from chainer.testing import attr
label_desc: Use image node_id 2 for calling the TestCupyIndicesGetItem obj's underlying member method code with example usage: obj.check_forward(x_data) without return types