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add multy devices supported models #9079

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merged 1 commit into from
Sep 18, 2024
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增加多硬件支持的模型列表

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codecov bot commented Sep 4, 2024

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 52.73%. Comparing base (77c0b0e) to head (5eaf3e4).
Report is 151 commits behind head on develop.

Additional details and impacted files
@@             Coverage Diff             @@
##           develop    #9079      +/-   ##
===========================================
- Coverage    55.47%   52.73%   -2.75%     
===========================================
  Files          631      652      +21     
  Lines        99195   110551   +11356     
===========================================
+ Hits         55033    58301    +3268     
- Misses       44162    52250    +8088     

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@@ -0,0 +1,8 @@
# 多硬件模型列表
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这里文档是不是太简单了
1)补充下各个硬件的介绍
2)补充模型的链接以及多硬件使用方法

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或者能补充飞桨侧的大模型适配的优势或者工作吗?

README.md Outdated
@@ -47,6 +47,7 @@
### <a href=#多硬件训推一体> 🔧 多硬件训推一体 </a>

支持英伟达 GPU、昆仑 XPU、昇腾 NPU、燧原 GCU 和海光 DCU 等多个硬件的大模型训练和推理,套件接口支持硬件快速切换,大幅降低硬件切换研发成本。
当前支持的模型:[多硬件模型列表](./docs/model_zoo/model_list_multy_device.md)
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这里是不是描述下NLU的模型,非大模型?或者和大模型的多硬件适配区分下

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ZHUI commented Sep 13, 2024

image 进去可以看文档预览。

@a31413510 a31413510 closed this Sep 14, 2024
@a31413510 a31413510 reopened this Sep 14, 2024
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LGTM

@wawltor wawltor merged commit 4503dd3 into PaddlePaddle:develop Sep 18, 2024
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3 participants