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62 lines
2.0 KiB
Python
62 lines
2.0 KiB
Python
# Copyright (c) 2026 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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from __future__ import annotations
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import warnings
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from typing import TYPE_CHECKING
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from paddle.optimizer import SGD as PaddleSGD
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if TYPE_CHECKING:
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from collections.abc import Sequence
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from paddle import Tensor
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from paddle.optimizer.optimizer import _ParameterConfig
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class SGD(PaddleSGD):
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def __init__(
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self,
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params: Sequence[Tensor] | Sequence[_ParameterConfig] | None = None,
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lr: float | Tensor = 1e-3,
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momentum: float = 0,
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dampening: float = 0,
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weight_decay: float | Tensor = 0,
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nesterov: bool = False,
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*,
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maximize: bool = False,
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foreach: bool | None = None,
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differentiable: bool = False,
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fused: bool | None = None,
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) -> None:
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if (
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momentum != 0
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or dampening != 0
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or nesterov is True
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or foreach is not None
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or differentiable is True
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or fused is not None
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):
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warnings.warn(
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"momentum, dampening, nesterov, foreach, differentiable, fused are currently not supported in SGD and will be ignored. "
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"The parameters are reserved for future implementation."
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)
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super().__init__(
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learning_rate=lr,
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parameters=params,
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weight_decay=weight_decay,
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maximize=maximize,
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)
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