# coding=utf-8
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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"""Tests for pretrained lopt optimizers."""
from absl.testing import absltest
from learned_optimization.optimizers import test_utils as opt_test_utils
from learned_optimization.research.general_lopt import prefab


class PrefabLOptTest(absltest.TestCase):

  def test_lopt(self):
    opt_test_utils.smoketest_optimizer(prefab.LearnedOptimizer(100))

  def test_lopt_accum(self):
    opt = prefab.LearnedOptimizer(100, max_training_steps=10)
    self.assertEqual(opt.opt.num_average, 10)
    opt_test_utils.smoketest_optimizer(opt)

  def test_lopt_wd(self):
    opt = prefab.LearnedOptimizer(100, weight_decay=1e-6)
    opt_test_utils.smoketest_optimizer(opt)


if __name__ == '__main__':
  absltest.main()
