code: def testComputeBatchSizeUnknown(self):
      dataset = dataset_ops.Dataset.range(32).batch(4)
      batch_size = distribute.compute_batch_size(dataset)
      self.assertEqual(4, self.evaluate(batch_size))
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import distribute
  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.util import nest
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.ops import image_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the ComputeBatchSizeTest obj's underlying member method code with example usage: obj.testComputeBatchSizeUnknown() without return types