code: def testCompareGpuVsCpu(self, batch_size, channel_count):
      smaller_shape = [batch_size, 4, 6, channel_count]
      larger_shape = [batch_size, 8, 16, channel_count]
      for params in self._itGen(smaller_shape, larger_shape):
          self._gpuVsCpuCase(*params, dtype=np.float32)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.framework import config
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import gen_image_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import image_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 8 for calling the ResizeBilinearOpTestBase obj's underlying member method code with example usage: obj.testCompareGpuVsCpu(batch_size, channel_count) without return types