about data long-tailed/data imbalance

reference：https://github.com/richardaecn/class-balanced-loss

paper：Class-Balanced Loss Based on Effective Number of Samples

pytorch==1.9.0

you can only run this code without any other prepare,some important part have test code to compare with offical tf version

Most parameters are the same with tf's version, but this version's acc is slightly higher than tf, may beceuse of some random.

If there is any problem, i will try to modify in time

dataset: cifar10 with imbalanced distribution