93 lines
2.4 KiB
Markdown
93 lines
2.4 KiB
Markdown
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# Better performance optimizers
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This document provides some third-party optimizers supported by MMEngine, which may bring faster convergence speed or higher performance.
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## D-Adaptation
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[D-Adaptation](https://github.com/facebookresearch/dadaptation) provides `DAdaptAdaGrad`, `DAdaptAdam` and `DAdaptSGD` optimziers。
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```{note}
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If you use the optimizer provided by D-Adaptation, you need to upgrade mmengine to `0.6.0`.
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```
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- Installation
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```bash
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pip install dadaptation
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```
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- Usage
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Take the `DAdaptAdaGrad` as an example.
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```python
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runner = Runner(
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model=ResNet18(),
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work_dir='./work_dir',
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train_dataloader=train_dataloader_cfg,
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# To view the input parameters for DAdaptAdaGrad, you can refer to
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# https://github.com/facebookresearch/dadaptation/blob/main/dadaptation/dadapt_adagrad.py
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optim_wrapper=dict(optimizer=dict(type='DAdaptAdaGrad', lr=0.001, momentum=0.9)),
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train_cfg=dict(by_epoch=True, max_epochs=3),
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)
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runner.train()
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```
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## Lion-Pytorch
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[lion-pytorch](https://github.com/lucidrains/lion-pytorch) provides the `Lion` optimizer。
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```{note}
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If you use the optimizer provided by Lion-Pytorch, you need to upgrade mmengine to `0.6.0`.
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```
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- Installation
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```bash
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pip install lion-pytorch
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```
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- Usage
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```python
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runner = Runner(
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model=ResNet18(),
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work_dir='./work_dir',
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train_dataloader=train_dataloader_cfg,
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# To view the input parameters for Lion, you can refer to
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# https://github.com/lucidrains/lion-pytorch/blob/main/lion_pytorch/lion_pytorch.py
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optim_wrapper=dict(optimizer=dict(type='Lion', lr=1e-4, weight_decay=1e-2)),
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train_cfg=dict(by_epoch=True, max_epochs=3),
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)
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runner.train()
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```
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## Sophia
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[Sophia](https://github.com/kyegomez/Sophia) provides `Sophia`, `SophiaG`, `DecoupledSophia` and `Sophia2` optimizers.
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```{note}
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If you use the optimizer provided by Sophia, you need to upgrade mmengine to `0.7.4`.
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```
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- Installation
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```bash
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pip install Sophia-Optimizer
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```
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- Usage
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```python
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runner = Runner(
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model=ResNet18(),
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work_dir='./work_dir',
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train_dataloader=train_dataloader_cfg,
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# To view the input parameters for SophiaG, you can refer to
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# https://github.com/kyegomez/Sophia/blob/main/Sophia/Sophia.py
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optim_wrapper=dict(optimizer=dict(type='SophiaG', lr=2e-4, betas=(0.965, 0.99), rho = 0.01, weight_decay=1e-1)),
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train_cfg=dict(by_epoch=True, max_epochs=3),
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)
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runner.train()
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```
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