code: def testFromTensorSlicesWithUintDtypes(self):
      components = (
          np.tile(np.array([[0], [1]], dtype=np.uint8), 2),
          np.tile(np.array([[2], [256]], dtype=np.uint16), 2),
          np.tile(np.array([[4], [65536]], dtype=np.uint32), 2),
          np.tile(np.array([[8], [4294967296]], dtype=np.uint64), 2),
      )
      expected_types = (
          dtypes.uint8,
          dtypes.uint16,
          dtypes.uint32,
          dtypes.uint64,
      )
      expected_output = [
          tuple([c[i] for c in components]) for i in range(2)
      ]
  
      dataset = dataset_ops.Dataset.from_tensor_slices(components)
      self.assertEqual(
          expected_types, dataset_ops.get_legacy_output_types(dataset)
      )
      self.assertDatasetProduces(dataset, expected_output)
  
imports: import collections
  from absl.testing import parameterized
  import numpy
  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.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.framework import tensor_shape
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 11 for calling the FromTensorSlicesTest obj's underlying member method code with example usage: obj.testFromTensorSlicesWithUintDtypes() without return types