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https://github.com/tongjilibo/torch4keras

bert4torch底层训练框架,用keras风格写torch代码
https://github.com/tongjilibo/torch4keras

keras torch

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bert4torch底层训练框架,用keras风格写torch代码

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![torch4keras](./docs/pics/torch4keras.png)

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[Documentation](https://torch4keras.readthedocs.io) |
[Bert4torch](https://github.com/Tongjilibo/bert4torch) |
[Examples](https://github.com/Tongjilibo/torch4keras/blob/master/examples) |
[Source code](https://github.com/Tongjilibo/torch4keras) |
[build_MiniLLM_from_scratch](https://github.com/Tongjilibo/build_MiniLLM_from_scratch)

## 1. 下载安装
安装稳定版
```shell
pip install torch4keras
```
安装最新版
```shell
pip install git+https://github.com/Tongjilibo/torch4keras.git
```

## 2. 功能
- 简述:抽象出来的Trainer,适用于一般神经网络的训练,仅需关注网络结构代码
- 特色:进度条展示训练过程,自定义metric,自带Evaluator, Checkpoint, Tensorboard, Logger等Callback,也可自定义Callback
- 初衷:前期功能是作为[bert4torch](https://github.com/Tongjilibo/bert4torch)和[rec4torch](https://github.com/Tongjilibo/rec4torch)的Trainer
- 训练:

![torch4keras](./docs/pics/training_process.gif)

## 3. 快速上手
- 参考[bert4torch](https://github.com/Tongjilibo/bert4torch)的训练过程
- 简单示例: [turorials_mnist](https://github.com/Tongjilibo/torch4keras/blob/master/examples/turorials_mnist.py)

## 4. 版本历史
|更新日期| 版本 | 版本说明 |
|------| ----------------- |----------- |
|20240928|v0.2.7|修改ddp的init_process_group;增加一些available函数,增加get_max_memory;DottableDict支持.赋值和嵌套;增加cachedict|
|20240814|v0.2.6|小修改(增加check_url_available_cached, 修复Timeit)|
|20240730|v0.2.5|小修改(print_table允许中文, 未安装torch时候仅提醒一次)|

[更多版本](https://github.com/Tongjilibo/torch4keras/blob/master/docs/Update.md)

## 5. 更新历史:

[更多历史](https://github.com/Tongjilibo/torch4keras/blob/master/docs/History.md)