code: def _compare(self, x, dst_dtype, expected, use_gpu=False):
      np.testing.assert_equal(
          self._cast(x, dst_dtype, use_gpu=use_gpu), dst_dtype(expected)
      )
  
imports: import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_state_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 11 for calling the CastOpTest obj's underlying member method code with example usage: obj._compare(x, dst_dtype, expected, use_gpu) without return types