code: def testSimple(self):
      self.assertAllEqual(
          [1, 0, 2],
          ops.convert_to_tensor([1, constant_op.constant(0), 2]),
      )
      self.assertAllEqual(
          [[0, 0, 0], [0, 1, 0], [0, 0, 0]],
          ops.convert_to_tensor(
              [[0, 0, 0], [0, constant_op.constant(1), 0], [0, 0, 0]]
          ),
      )
      self.assertAllEqual(
          [[0, 0, 0], [0, 1, 0], [0, 0, 0]],
          ops.convert_to_tensor(
              [[0, 0, 0], constant_op.constant([0, 1, 0]), [0, 0, 0]]
          ),
      )
      self.assertAllEqual(
          [[0, 0, 0], [0, 1, 0], [0, 0, 0]],
          ops.convert_to_tensor(
              [
                  constant_op.constant([0, 0, 0]),
                  constant_op.constant([0, 1, 0]),
                  constant_op.constant([0, 0, 0]),
              ]
          ),
      )
  
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 1 for calling the AutomaticStackingTest obj's underlying member method code with example usage: obj.testSimple() without return types