code: def testPaddedBatchShapeErrorShapeNotInt(self):
      with self.assertRaisesRegex(
          TypeError,
          r"Padded shape .* must be a `tf.int64` vector tensor, "
          r"but its element type was float32.",
      ):
          _ = dataset_ops.Dataset.from_tensors([1, 2, 3]).padded_batch(
              5, padded_shapes=constant_op.constant([1.5, 2.0, 3.0])
          )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.kernel_tests import checkpoint_test_base
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import options
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import string_ops
  from tensorflow.python.ops.ragged import ragged_tensor_value
  from tensorflow.python.platform import test
  from tensorflow.python.util import compat
label_desc: Use image node_id 18 for calling the PaddedBatchTest obj's underlying member method code with example usage: obj.testPaddedBatchShapeErrorShapeNotInt() without return types