# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# 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
#
#     http://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
# limitations under the License.
import shutil
from pathlib import Path

import paddle
from paddle import nn
from paddle.optimizer import Adam
from paddle.optimizer.lr import StepDecay


def test_optimizer():
    model1 = nn.Linear(3, 4)
    optim1 = Adam(
        parameters=model1.parameters(), learning_rate=StepDecay(0.1, 100))

    output_dir = Path("temp_test_optimizer")
    shutil.rmtree(output_dir, ignore_errors=True)
    output_dir.mkdir(exist_ok=True, parents=True)

    # model1.set_state_dict(model1.state_dict())
    optim1.set_state_dict(optim1.state_dict())

    x = paddle.randn([6, 3])
    y = model1(x).sum()
    y.backward()
    optim1.step()