mirror of https://github.com/hpcaitech/ColossalAI
[doc] add deprecated warning on doc Basics section (#3754)
* Update colotensor_concept.md * Update configure_parallelization.md * Update define_your_config.md * Update engine_trainer.md * Update initialize_features.md * Update model_checkpoint.md * Update colotensor_concept.md * Update configure_parallelization.md * Update define_your_config.md * Update engine_trainer.md * Update initialize_features.md * Update model_checkpoint.mdpull/3795/head
Yanjia0
GitHub
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Author: [Jiarui Fang](https://github.com/feifeibear), [Hongxin Liu](https://github.com/ver217) and [Haichen Huang](https://github.com/1SAA)
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> ⚠️ The information on this page is outdated and will be deprecated.
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**Prerequisite:**
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- [Colossal-AI Overview](../concepts/colossalai_overview.md)
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- [Distributed Training](../concepts/distributed_training.md)
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Author: Shenggui Li, Siqi Mai
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> ⚠️ The information on this page is outdated and will be deprecated. Please check [Booster Plugins](../basics/booster_plugins.md) for more information.
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**Prerequisite:**
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- [Distributed Training](../concepts/distributed_training.md)
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- [Paradigms of Parallelism](../concepts/paradigms_of_parallelism.md)
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Author: Guangyang Lu, Shenggui Li, Siqi Mai
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> ⚠️ The information on this page is outdated and will be deprecated. Please check [Booster API](../basics/booster_api.md) for more information.
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**Prerequisite:**
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- [Distributed Training](../concepts/distributed_training.md)
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- [Colossal-AI Overview](../concepts/colossalai_overview.md)
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Author: Shenggui Li, Siqi Mai
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> ⚠️ The information on this page is outdated and will be deprecated. Please check [Booster API](../basics/booster_api.md) for more information.
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**Prerequisite:**
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- [Initialize Features](./initialize_features.md)
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@ -2,6 +2,8 @@
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Author: Shenggui Li, Siqi Mai
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> ⚠️ The information on this page is outdated and will be deprecated. Please check [Booster API](../basics/booster_api.md) for more information.
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**Prerequisite:**
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- [Distributed Training](../concepts/distributed_training.md)
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- [Colossal-AI Overview](../concepts/colossalai_overview.md)
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Author : Guangyang Lu
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> ⚠️ The information on this page is outdated and will be deprecated. Please check [Booster Checkpoint](../basics/booster_checkpoint.md) for more information.
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**Prerequisite:**
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- [Launch Colossal-AI](./launch_colossalai.md)
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- [Initialize Colossal-AI](./initialize_features.md)
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Author: [Jiarui Fang](https://github.com/feifeibear), [Hongxin Liu](https://github.com/ver217) and [Haichen Huang](https://github.com/1SAA)
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> ⚠️ 此页面上的信息已经过时并将被废弃。
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**Prerequisite:**
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- [Colossal-AI Overview](../concepts/colossalai_overview.md)
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- [Distributed Training](../concepts/distributed_training.md)
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作者: Shenggui Li, Siqi Mai
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> ⚠️ 此页面上的信息已经过时并将被废弃。请在[Booster插件](../basics/booster_plugins.md)页面查阅更新。
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**预备知识:**
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- [分布式训练](../concepts/distributed_training.md)
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- [并行技术](../concepts/paradigms_of_parallelism.md)
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作者: Guangyang Lu, Shenggui Li, Siqi Mai
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> ⚠️ 此页面上的信息已经过时并将被废弃。请在[Booster API](../basics/booster_api.md)页面查阅更新。
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**预备知识:**
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- [分布式训练](../concepts/distributed_training.md)
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- [Colossal-AI 总览](../concepts/colossalai_overview.md)
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@ -2,6 +2,8 @@
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作者: Shenggui Li, Siqi Mai
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> ⚠️ 此页面上的信息已经过时并将被废弃。请在[Booster API](../basics/booster_api.md)页面查阅更新。
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**预备知识:**
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- [初始化功能](./initialize_features.md)
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作者: Shenggui Li, Siqi Mai
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> ⚠️ 此页面上的信息已经过时并将被废弃。请在[Booster API](../basics/booster_api.md)页面查阅更新。
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**预备知识:**
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- [分布式训练](../concepts/distributed_training.md)
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- [Colossal-AI 总览](../concepts/colossalai_overview.md)
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# 模型检查点
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# 模型Checkpoint
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作者 : Guangyang Lu
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> ⚠️ 此页面上的信息已经过时并将被废弃。请在[Booster Checkpoint](../basics/booster_checkpoint.md)页面查阅更新。
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**预备知识:**
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- [Launch Colossal-AI](./launch_colossalai.md)
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- [Initialize Colossal-AI](./initialize_features.md)
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## 简介
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本教程将介绍如何保存和加载模型检查点。
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本教程将介绍如何保存和加载模型Checkpoint。
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为了充分利用Colossal-AI的强大并行策略，我们需要修改模型和张量，可以直接使用 `torch.save` 或者 `torch.load` 保存或加载模型检查点。在Colossal-AI中，我们提供了应用程序接口实现上述同样的效果。
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为了充分利用Colossal-AI的强大并行策略，我们需要修改模型和张量，可以直接使用 `torch.save` 或者 `torch.load` 保存或加载模型Checkpoint。在Colossal-AI中，我们提供了应用程序接口实现上述同样的效果。
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但是，在加载时，你不需要使用与存储相同的保存策略。
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### 保存
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有两种方法可以使用Colossal-AI训练模型，即使用engine或使用trainer。
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**注意我们只保存 `state_dict`.** 因此，在加载检查点时，需要首先定义模型。
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**注意我们只保存 `state_dict`.** 因此，在加载Checkpoint时，需要首先定义模型。
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#### 同 engine 保存
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