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There are 6 models in ModelZoo in DeepRec. Currently, there is only model code for training. Please add inference code for these models and optimize the inference performance, and summarize performance results.
Target
Design and implement inference code for models in ModelZoo.
Profiling and optimize inference performance for models in ModelZoo.
Proficiency in C++ and Python;
Get to know DeepRec;
Able to complete the development under the guidance of the mentor;
Have a certain understanding and interest in deep learning recommendation engines;
Background
This is an basic subject of ASoC 2022 and #231 .
There are 6 models in ModelZoo in DeepRec. Currently, there is only model code for training. Please add inference code for these models and optimize the inference performance, and summarize performance results.
Target
Difficulty
Basic
Mentor
@shanshanpt jiankeng.pt@alibaba-inc.com
Output Requirements
Proficiency in C++ and Python;
Get to know DeepRec;
Able to complete the development under the guidance of the mentor;
Have a certain understanding and interest in deep learning recommendation engines;
背景
这是一个阿里巴巴编程之夏 2022 的基础课题 #231 .
DeepRec中ModelZoo中有6个模型,当前没有支持导出为SavedModel,导致训练和推理不能直接打通。请完善这些模型并且完成训练推理完整链路的测试。
目标
1)实现ModelZoo中6个模型的Inference use case。
2)优化ModelZoo的模型的Inference性能,并总结性能文档。
难度
基础
导师
@shanshanpt jiankeng.pt@alibaba-inc.com
产出要求
熟练掌握C++和Python;
能够在导师的指导下熟悉并理解相关的代码
了解 DeepRec;
对深度学习推荐引擎有一定了解和兴趣;
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