code: def testPaddedBatchBfloat16(self):
      ds = dataset_ops.Dataset.range(5)
      ds = ds.map(lambda x: math_ops.cast(x, dtypes.bfloat16))
      ds = ds.padded_batch(10)
      self.assertDatasetProduces(
          ds, expected_output=[[0.0, 1.0, 2.0, 3.0, 4.0]]
      )
  
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 22 for calling the PaddedBatchTest obj's underlying member method code with example usage: obj.testPaddedBatchBfloat16() without return types