MMCV Release V1.5.0

Features

• Support training on IPU chip (#1882)
• Support training on MLU chip (#1770, #1563,#1884,#1885,#1881)
• Support for linearly learning rate decay (#1627)

Improvements

• Optimize correlation (#1814)
• Speed up Registry initialization (#1844)
• NMS with CUDA only (#1824)
• Add a differentiable rotated IoU op (#1854)
• Support passing None to DictAction (#1834)
• Enhance get_torchvision_models (#1867)

Bug fixes

• Fix Python3.10 CI (#1828)
• Fix collect_env() in Windows (#1789, #1887)
• Fix sparse_conv unit test by releasing cache on GPU (#1872)
• Fix unexpected keyword argument for GELU (#1847)
• Fix potential negative padding size (#1792)
• Fix version comparison to include prerelease versions (#1877)

Documentations

• Fix docstring (#1876, #1880)

Notes

Since PyTorch 1.11.0 has been released and we have provided the mmcv-full pre-compiled packages for it, we no longer provide them compiled with PyTorch 1.3 & 1.4 since v1.3.17. You can find previous versions compiled with PyTorch 1.3 & 1.4 here. The compatibility is still ensured in our CI, but we will discard the support of PyTorch 1.3 & 1.4 this year.

Contributors

A total of 29 developers contributed to this release.

@wulele2 @Sharpiless @RockeyCoss @teamwong111 @SuTanTank @grimoire @MeowZheng @triple-Mu @astahlman @Qiza-lyhm @daydayfun @VVsssssk @Charlyo @filaPro @zytx121 @DCNSW @luopeichao @gaotongxiao @yushinliu @zihanchang11 @raoshenglong @zcyKTH @Mrxiaofei @HuDi2018 @vakker @zhouzaida @ZwwWayne @HAOCHENYE @imabackstabber