code: def testDtypeConversionWhenTensorDtypeMismatch(self):
      t_0 = ops.convert_to_tensor([0.0, 0.0, 0.0])
      self.assertEqual(dtypes.float32, t_0.dtype)
  
      t_1 = ops.convert_to_tensor([0, 0, 0])
      self.assertEqual(dtypes.int32, t_1.dtype)
  
      t_2 = ops.convert_to_tensor([t_0, t_0, t_1], dtype=dtypes.float64)
      self.assertEqual(dtypes.float64, t_2.dtype)
  
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 4 for calling the AutomaticStackingTest obj's underlying member method code with example usage: obj.testDtypeConversionWhenTensorDtypeMismatch() without return types