chore: import upstream snapshot with attribution

2026-07-13 12:40:42 +08:00
commit e25996e7db
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+# Copyright (c) 2026 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 paddle.optimizer.lr
+
+LambdaLR = paddle.optimizer.lr.LambdaDecay
+MultiplicativeLR = paddle.optimizer.lr.MultiplicativeDecay
+StepLR = paddle.optimizer.lr.StepDecay
+MultiStepLR = paddle.optimizer.lr.MultiStepDecay
+ConstantLR = paddle.optimizer.lr.PiecewiseDecay
+LinearLR = paddle.optimizer.lr.LinearLR
+ExponentialLR = paddle.optimizer.lr.ExponentialDecay
+CosineAnnealingLR = paddle.optimizer.lr.CosineAnnealingDecay
+ReduceLROnPlateau = paddle.optimizer.lr.ReduceOnPlateau
+CyclicLR = paddle.optimizer.lr.CyclicLR
+CosineAnnealingWarmRestarts = paddle.optimizer.lr.CosineAnnealingWarmRestarts
+OneCycleLR = paddle.optimizer.lr.OneCycleLR
+LRScheduler = paddle.optimizer.lr.LRScheduler
+
+__all__ = [
+    "LambdaLR",
+    "MultiplicativeLR",
+    "StepLR",
+    "MultiStepLR",
+    "ConstantLR",
+    "LinearLR",
+    "ExponentialLR",
+    "CosineAnnealingLR",
+    "ReduceLROnPlateau",
+    "CyclicLR",
+    "CosineAnnealingWarmRestarts",
+    "OneCycleLR",
+    "LRScheduler",
+]