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39 lines
1.2 KiB
39 lines
1.2 KiB
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import shutil
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from pathlib import Path
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import paddle
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from paddle import nn
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from paddle.optimizer import Adam
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from paddle.optimizer.lr import StepDecay
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def test_optimizer():
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model1 = nn.Linear(3, 4)
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optim1 = Adam(
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parameters=model1.parameters(), learning_rate=StepDecay(0.1, 100))
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output_dir = Path("temp_test_optimizer")
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shutil.rmtree(output_dir, ignore_errors=True)
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output_dir.mkdir(exist_ok=True, parents=True)
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# model1.set_state_dict(model1.state_dict())
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optim1.set_state_dict(optim1.state_dict())
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x = paddle.randn([6, 3])
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y = model1(x).sum()
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y.backward()
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optim1.step()
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