code: def _testAll(self, x):
      self._testTypes(x, use_gpu=False)
      if x.dtype == np.float32 or x.dtype == np.float64:
          self._testTypes(x, use_gpu=True)
  
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 5 for calling the CastOpTest obj's underlying member method code with example usage: obj._testAll(x) without return types