def test_dropout_tensor(self): with self.test_session(): x = tf.placeholder(tf.float32, [5, 5]) y = tf.get_variable("prob", [], initializer=tf.constant_initializer(0.5)) z = ops.dropout(x, y) probs = tf.get_collection(ops.DROPOUTS) self.assertEqual(probs, [y])
def test_dropout_float(self): with self.test_session() as session: x = tf.placeholder(tf.float32, [5, 5]) y = ops.dropout(x, 0.5) probs = tf.get_collection(ops.DROPOUTS) session.run(tf.initialize_all_variables()) self.assertEqual(len(probs), 1) self.assertEqual(session.run(probs[0]), 0.5)