Mmrazor

Highlights
- Support MobileNet series search space(82)
Features
- Support CPU training(62)
- Support resuming from the latest checkpoint automatically(61)
Bug Fixes
- Fix the bug of `show_result` during the test(52 )
- Fix bug in non-distributed training/testing for all tasks(63)
- Fix the incorrect value of KLDivergence(35)
- Fix the config error of `WSLD`(26)
- Fix the config error of `DetNAS`(103)
- Fix the bug of `slurm_train_mmcls.sh`(90)
Improvements
- Add distributed train/test tools(105)
Documents
- Fix some typos(6, 16, 18, 73)
- Fix some mistakes in docstring(24, 29)

Highlights
MMRazor v0.1.0 is released.

Major Features
- **Compatibility**

MMRazor can be easily applied to various projects in OpenMMLab, due to similar architecture design of OpenMMLab as well as the decoupling of slimming algorithms and vision tasks.

- **Flexibility**

Different algorithms, e.g., NAS, pruning and KD, can be incorporated in a plug-n-play manner to build a more powerful system.

- **Convenience**

With better modular design, developers can implement new model compression algorithms with only a few codes, or even by simply modifying config files.