A little homepage.

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Who am I

I am Feiyue Xie, a student studying in University of Science and Technology of China, who uses github to practice programming techniques.

Contributions

Since I found some issues in keras, mxnet, gluon-cv, jittor, and rust, I learned to write PRs and become their contributer. Although most of the PRs are not huge change and most of them are easy-to-fix performance problem, there is something important change which is worth mention.

Prefetch data.

In old versions of MXNet (<=1.8.0, don’t know whether it affects pytorch or tensorflow), execute data_iter_prefetch=iter(data_iter) after the data_iter is defined and data_iter_prefetch is consumed may speed up the calculation. without such execution may slow down the training process especially you’re using some heavy image ppre-processing techniques like autoaugment in a small dataset (e.g., CIFAR-100).

Older version of MXNet prefetch data only after the __iter__() method is called.

In MXNet 1.x.0 (x>=9) with auto_reload=True(not the default setting) or MXNet 2.x with nopython mode, the prefetch is done as expected.

Funny things

Add a new Github Page

Write a mod for Unity Game WITHOUT Visual Studio

speed up visit github by nginx (written in Chinese)

a very small improvement of the famous comprossor, paq8l

Hide these content until a really good paper is published. # What's more If you think my little contribution helps you, could you help me make the following chart more beautiful? [![My GitHub Data](https://github-readme-stats.vercel.app/api?username=Neutron3529)]()