code: def testCheckpointLargeBatches(self):
      # Batches of size 512M
      dataset = dataset_ops.Dataset.from_tensors(
          array_ops.ones((64, 1024, 1024), dtype=dtypes.float32)
      ).repeat()
      dataset = dataset.batch(2, num_parallel_calls=5)
      iterator = iter(dataset)
      next(iterator)  # request an element to fill the buffer
      ckpt = trackable_utils.Checkpoint(iterator=iterator)
      manager = checkpoint_management.CheckpointManager(
          ckpt, self.get_temp_dir(), max_to_keep=1
      )
      manager.save()
  
imports: import time
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.checkpoint import checkpoint_management
  from tensorflow.python.data.experimental.ops import random_access
  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.data.util import nest
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import script_ops
  from tensorflow.python.ops.ragged import ragged_concat_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_math_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import test
label_desc: Use image node_id 13 for calling the BatchTest obj's underlying member method code with example usage: obj.testCheckpointLargeBatches() without return types