def test_all_dataset(self):
dataset_1 = dataset_ops.DatasetV2.from_tensor_slices([False, True, False])
dataset_2 = dataset_ops.DatasetV2.from_tensor_slices([True, True, True])
self.assertEqual(self.evaluate(py_builtins.all_(dataset_1)), False)
self.assertEqual(self.evaluate(py_builtins.all_(dataset_2)), True)
dataset_3 = dataset_ops.DatasetV2.from_tensor_slices([0, 1, 2])
with self.assertRaises(ValueError):
py_builtins.all_(dataset_3)
dataset_4 = dataset_ops.DatasetV2.from_tensor_slices([False, True, False])
dataset_zipped = dataset_ops.DatasetV2.zip((dataset_4, dataset_4))
with self.assertRaises(ValueError):
py_builtins.all_(dataset_zipped)
dataset_mixed = dataset_ops.DatasetV2.zip((dataset_3, dataset_4))
with self.assertRaises(ValueError):
py_builtins.all_(dataset_mixed)
def test_all(self):
self.assertEqual(py_builtins.all_([False, True, False]), False)
self.assertEqual(py_builtins.all_([True, True, True]), True)