def test_get_example_dataset(self):
dataset = Datasets.examples_via_schema(self.train_data, self.schema_path, batch_size=16)
batch_it = dataset.make_one_shot_iterator().get_next()
with tf.Session() as sess:
batch = sess.run(batch_it)
self.assertEqual(len(batch), self.N_FEATURES)
self.assertEqual(len(batch["f1"]), 16)
def test_simple_get_example_dataset(self):
data, schema_path = SquareTest._write_test_data()
with self.test_session() as sess:
dataset = Datasets.examples_via_schema(data, schema_path) # noqa: E501
iterator = dataset.make_one_shot_iterator()
r = iterator.get_next()
f1, f2 = r["f1"], r["f2"]
self.assertAllEqual([[1], [2]], sess.run([f1, f2]))
with self.assertRaises(tf.errors.OutOfRangeError):
f1.eval()