Replace depreciated `random_integers` with `randint`.
See
@@ -522,7 +522,7 @@ class KerasUtilsTest(tf.test.TestCase, parameterized.TestCase):
batch = collections.OrderedDict(
x=np.random.uniform(low=0.0, high=1.0,
size=[batch_size, 28 * 28]).astype(np.float32),
- y=np.random.random_integers(low=0, high=9, size=[batch_size,
+ y=np.random.randint(low=0, high=9, size=[batch_size,
1]).astype(np.int64))
num_train_steps = 2
