AttributeError: module 'pytorch_lightning.callbacks' has no attribute 'ModelSummary'
时间: 2023-09-20 13:07:28 浏览: 87
This error occurs when you try to access the `ModelSummary` attribute of the `pytorch_lightning.callbacks` module, but it doesn't exist.
The `ModelSummary` callback was introduced in PyTorch Lightning version 1.3.0. If you are using an older version of PyTorch Lightning, you won't be able to use this callback.
To fix this error, you need to upgrade your PyTorch Lightning installation to at least version 1.3.0. You can do this using the following command:
```
pip install pytorch-lightning==1.3.0
```
Once you have upgraded to the latest version, you should be able to use the `ModelSummary` callback without any issues.
相关问题
AttributeError: module 'pytorch_lightning' has no attribute 'metrics'
当出现"AttributeError: module 'pytorch_lightning' has no attribute 'metrics'"报错时,意味着使用的PyTorch Lightning模块中没有metrics属性。这个错误通常是因为版本不兼容导致的。可能是你使用的PyTorch Lightning版本较旧,没有metrics属性。为了解决这个问题,你可以考虑升级到最新版本的PyTorch Lightning或者尝试使用其他方法替代metrics属性来完成你的需求。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *3* [分级代码报错调试记录](https://blog.csdn.net/X922199/article/details/126471958)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *2* [20天吃pytorch 3-3 高阶API 遇到问题及分析](https://blog.csdn.net/qq_44009107/article/details/123329317)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
[ .reference_list ]
AttributeError: module 'pytorch_lightning' has no attribute '_C'
这个错误通常出现在 PyTorch Lightning 的安装或导入上出现问题。请确保已正确安装 PyTorch Lightning,并且版本与其他依赖项兼容。可以尝试卸载并重新安装 PyTorch Lightning:
```
pip uninstall pytorch_lightning
pip install pytorch_lightning
```
如果问题仍然存在,可以尝试升级 PyTorch 和 PyTorch Lightning 到最新版本:
```
pip install --upgrade torch torchvision
pip install --upgrade pytorch_lightning
```
同时,请确保你的代码中没有与 PyTorch Lightning 冲突的其他模块或名称重复的情况。