code: def test_cast(self):
      x = constant_op.constant([[1], [2]])
      y = constant_op.constant([[1.0], [2.0]])
  
      def loop_fn(i):
          return (
              math_ops.cast(array_ops.gather(x, i), dtypes.float32),
              math_ops.cast(array_ops.gather(y, i), dtypes.int32),
          )
  
      self._test_loop_fn(loop_fn, 2)
  
imports: import itertools
  from absl.testing import parameterized
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import clip_ops
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import special_math_ops
  from tensorflow.python.ops import tensor_array_grad
  from tensorflow.python.ops.parallel_for import control_flow_ops
  from tensorflow.python.ops.parallel_for.test_util import PForTestCase
  from tensorflow.python.platform import test
label_desc: Use image node_id 26 for calling the MathTest obj's underlying member method code with example usage: obj.test_cast() and returns: math_ops,  math_ops