code: def testConstParallelCPU(self):
      # tf.parallel_stack is only supported in graph mode.
      with ops.Graph().as_default():
          np.random.seed(7)
          with test_util.device(use_gpu=False):
              for shape in (
                  (2,),
                  (3,),
                  (2, 3),
                  (3, 2),
                  (4, 3, 2),
                  (8, 2, 10),
              ):
                  with self.subTest(shape=shape):
                      data = self.randn(shape, np.float32)
                      if len(shape) == 1:
                          data_list = list(data)
                          cl = array_ops.parallel_stack(data_list)
                          self.assertAllEqual(cl, data)
  
                      data = self.randn(shape, np.float32)
                      c = array_ops.parallel_stack(data)
                      self.assertAllEqual(c, data)
  
imports: import numpy
  from tensorflow.python import tf2
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import gen_array_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 7 for calling the StackOpTest obj's underlying member method code with example usage: obj.testConstParallelCPU() without return types