diff --git "a/OneFlow/OneFlow\346\267\261\345\272\246\345\255\246\344\271\240\346\241\206\346\236\266\344\272\244\346\265\201\347\276\244\350\256\250\350\256\272\347\262\276\351\200\211(\344\272\214).md" "b/OneFlow/OneFlow\346\267\261\345\272\246\345\255\246\344\271\240\346\241\206\346\236\266\344\272\244\346\265\201\347\276\244\350\256\250\350\256\272\347\262\276\351\200\211(\344\272\214).md"
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+距离志在引领下一代深度学习框架的 OneFlow 开源的时间越来越近了，群中资深票友的讨论也依然精彩。今天整理的群讨论，包括了OneFlow 分布式训练易用性、OneFlow 通讯库、OneFlow文档建设及对深度学习编译器等话题。
+
+以下内容摘录自2020.7.27OneFlow深度学习框架交流群。
+
+![](./imgs/9.jpg)
+
+**太长不看版本**
+
+OneFlow 为单卡、单机多卡、多机多卡提供了一样的视角，从单卡程序变为分布式程序，只需要做很简单的几行代码配置，其它代码都一样。
+
+**讨论过程：**
+
+![](./imgs/10.jpg)
+
+![](./imgs/11.jpg)
+
+**太长不看版本**
+
+OneFlow基于RDMA自研了一套通讯库，相当于在RDMA的基础上实现了nccl的功能，这对于自研芯片的厂商可能更友好。OneFlow可以使用nccl通信。
+
+OneFlow 的通讯模块会随着OneFlow整个框架一起开源。
+
+**讨论过程：**
+
+![](./imgs/12.jpg)
+
+![](./imgs/13.jpg)
+
+**太长不看版本**
+
+OneFlow会随开源提供快速入门的教程和一些常用的模型库。与tf等完备框架比OneFlow 的文档可能还不够完善，会尽快推进完备起来。OneFlow的文档会有中英两个版本。
+
+**讨论过程：**
+
+![](./imgs/14.jpg)
+
+![](./imgs/15.jpg)
+
+**太长不看版本**
+
+OneFlow 实现了动态图与静态图两套机制，对于动态图做了很多优化，理论上效率和静态图的效率差不多。完成的测试结果会在后续公布。
+
+**讨论过程：**
+
+![](./imgs/16.jpg)
+
+![](./imgs/17.jpg)
+
+**太长不看版本**
+
+OneFlow已经支持xla、openvino、tensorrt for training多种深度学习编译器，tvm的支持也正在推进。
+
+**讨论过程：**
+
+![](./imgs/18.jpg)
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