code: def testWithNDArray(self):
      with self.session():
          result = ops.convert_to_tensor(
              [
                  [[0.0, 0.0], constant_op.constant([1.0, 1.0])],
                  np.array([[2.0, 2.0], [3.0, 3.0]], dtype=np.float32),
              ]
          )
          self.assertAllEqual(
              [[[0.0, 0.0], [1.0, 1.0]], [[2.0, 2.0], [3.0, 3.0]]],
              self.evaluate(result),
          )
  
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 2 for calling the AutomaticStackingTest obj's underlying member method code with example usage: obj.testWithNDArray() without return types