mmcv

What's Changed

• [Feature] Add the support of BallQuery op for Ascend device by @Ginray in https://github.com/open-mmlab/mmcv/pull/2963
• [Feature] Add the support of three_interpolate op for Ascend device by @lihao7212148 in https://github.com/open-mmlab/mmcv/pull/2962
• Update version info by @zhouzaida in https://github.com/open-mmlab/mmcv/pull/2966
• [Docs] Add api reference table by @fanqiNO1 in https://github.com/open-mmlab/mmcv/pull/2971
• [Fix] Fix deform_conv.py for torch_npu v2.1 by @shun001 in https://github.com/open-mmlab/mmcv/pull/2967
• DIOPI adapt codes for npu device by @CokeDong in https://github.com/open-mmlab/mmcv/pull/2973
• [Fix] Fix modulated_deform_conv.py for torch_npu v2.1 by @shun001 in https://github.com/open-mmlab/mmcv/pull/2983
• [Feature] Add NPU operator RotatedFeatureAlign by @huaweiZJX in https://github.com/open-mmlab/mmcv/pull/2994
• torch_npu support aclnn and add op by @momo609 in https://github.com/open-mmlab/mmcv/pull/2998
• [Feature] Add the support for stack_group_points ops with Ascend by @673958639 in https://github.com/open-mmlab/mmcv/pull/3023
• Fix ut of stack_grouping_points by @673958639 in https://github.com/open-mmlab/mmcv/pull/3026
• Add multi_scale_deform_attn op adapter for NPU. by @DaGaiBa in https://github.com/open-mmlab/mmcv/pull/3032
• add multi_scale_deform_attn_grad op adapter for NPU by @RRaoyzee in https://github.com/open-mmlab/mmcv/pull/3042
• Bump version to 2.2.0 by @HAOCHENYE in https://github.com/open-mmlab/mmcv/pull/3087
• add multi npu op by @momo609 in https://github.com/open-mmlab/mmcv/pull/3085

New Contributors

• @lihao7212148 made their first contribution in https://github.com/open-mmlab/mmcv/pull/2962
• @fanqiNO1 made their first contribution in https://github.com/open-mmlab/mmcv/pull/2971
• @shun001 made their first contribution in https://github.com/open-mmlab/mmcv/pull/2967
• @huaweiZJX made their first contribution in https://github.com/open-mmlab/mmcv/pull/2994

Full Changelog: https://github.com/open-mmlab/mmcv/compare/v2.1.0...v2.2.0

😀 We are glad to announce that we are providing the mmcv-full pre-built packages for PyTorch 2.1.0 and 2.0.0 starting from MMCV v1.7.2.

pip install -U openmim
mim install mmcv-full

Features

• Support DCNv1 on Ascend device by @MiniTIckW in https://github.com/open-mmlab/mmcv/pull/2480
• Support PSAMask op for Ascend device by @DaGaiBa in https://github.com/open-mmlab/mmcv/pull/2487
• Support Voxelization with cambricon MLU device by @ZShaopeng in https://github.com/open-mmlab/mmcv/pull/2500
• Add Ascend support for RoIPool op by @momo609 in https://github.com/open-mmlab/mmcv/pull/2483
• Add MLU support for DCN by @mengpenghui in https://github.com/open-mmlab/mmcv/pull/2540
• Add support for Ascend devices with gather_points by @zcc-zjut in https://github.com/open-mmlab/mmcv/pull/2555
• Add ops bbox_overlaps by @enemy1205 in https://github.com/open-mmlab/mmcv/pull/2477
• Support ball_query with cambricon MLU backend and mlu-ops library. by @DanieeelLiu in https://github.com/open-mmlab/mmcv/pull/2520
• Add support for Ascend devices with nms_rotated by @ckirchhoff2021 in https://github.com/open-mmlab/mmcv/pull/2550
• Add Ascend support for RoIPoolGrad op by @xinlianglalala in https://github.com/open-mmlab/mmcv/pull/2569
• Add bbox_overlaps npu adapter by @dflhw in https://github.com/open-mmlab/mmcv/pull/2580
• ms_deform_attn performance optimization by @Wickyzheng in https://github.com/open-mmlab/mmcv/pull/2616
• Add the support of voxelization op for ascend device by @dflhw in https://github.com/open-mmlab/mmcv/pull/2613
• Make voxelization operator support the mlu290 platform. by @mahxn0 in https://github.com/open-mmlab/mmcv/pull/2652
• Add Ascend support for RoIAlign op by @momo609 in https://github.com/open-mmlab/mmcv/pull/2638
• Add MLU support for Sparse Convolution op by @duzekunKTH in https://github.com/open-mmlab/mmcv/pull/2589
• Add the support of arf op for ascend device by @dflhw in https://github.com/open-mmlab/mmcv/pull/2789
  *Sync replace by @defei-coder in https://github.com/open-mmlab/mmcv/pull/2750
• Add the implementation of diff_iou_rotated with mlu-ops by @Danielmic in https://github.com/open-mmlab/mmcv/pull/2852
• Add the implementation of dynamic_scatter with mlu-ops (#2847) by @Danielmic in https://github.com/open-mmlab/mmcv/pull/2853
• Add support of points_in_polyogns for Ascend device by @long11111111 in https://github.com/open-mmlab/mmcv/pull/2864
• Add the support of BoxIouRotated op for ascend device by @MrShadowY in https://github.com/open-mmlab/mmcv/pull/2854
• Replace the implementation of deform_roi_pool with mlu-ops by @defei-coder in https://github.com/open-mmlab/mmcv/pull/2598
• Add torch_npu optimizer by @luomaoling in https://github.com/open-mmlab/mmcv/pull/2753
• Add missing contiguous calls for nms_rotated by @allanzelener in https://github.com/open-mmlab/mmcv/pull/2547
• Support NmsRotated with cambricon MLU backend by @liuyuan1-v in https://github.com/open-mmlab/mmcv/pull/2643
• Add the implementation of box_iou_rotated with mlu-ops. by @ZhangLearning in https://github.com/open-mmlab/mmcv/pull/2703
• Modify adaptation of bbox_overlaps op for ascend device by @dflhw in https://github.com/open-mmlab/mmcv/pull/2697
• Support torch_npu v2.1 by @momo609 in https://github.com/open-mmlab/mmcv/pull/2943
• DvcliveLoggerHook: use by_epoch for determining when to log. by @daavoo in https://github.com/open-mmlab/mmcv/pull/2149
• Support MultiScaleDeformableAttention with AMP by @nijkah in **https://github.com/open-mmlab/mmcv/pull/2541

Enhancements

• Replace the implementation of three_nn with mlu-ops by @DanieeelLiu in https://github.com/open-mmlab/mmcv/pull/2719
• Repalce the implementation of roiaware_pool3d with mlu-ops. by @ZhangLearning in https://github.com/open-mmlab/mmcv/pull/2699
• Refactor the issue templates by @zhouzaida in https://github.com/open-mmlab/mmcv/pull/2585
• Remove unused files by @zhouzaida in https://github.com/open-mmlab/mmcv/pull/2586
• The argument scale of fused_bias_leakyrelu should be greater than 0 by @jayggh in https://github.com/open-mmlab/mmcv/pull/2623
• Replace carafe op of MLU backend with mlu-ops by @qipengh in https://github.com/open-mmlab/mmcv/pull/2818
• Replace the implementation of psa_mask with mlu-ops. by @DanieeelLiu in https://github.com/open-mmlab/mmcv/pull/2756
• Repalce the implementation of rotated_feature_align with ml… by @tudejiang79 in https://github.com/open-mmlab/mmcv/pull/2659
• Repalce the implementation of roi_align_rotated with mlu-ops by @tudejiang79 in https://github.com/open-mmlab/mmcv/pull/2657
• Simplify the logic of sparse_conv by @duzekunKTH in https://github.com/open-mmlab/mmcv/pull/2683
• Replace bbox_overlaps op of MLU backend with mlu-ops by @qirun-uiuc in https://github.com/open-mmlab/mmcv/pull/2880
• Replace focal_loss_sigmoid op of MLU backend with mlu-ops by @qirun-uiuc in https://github.com/open-mmlab/mmcv/pull/2877
• Replace roipoint_pool3d op of MLU backend with mlu-ops by @ClowDragon in https://github.com/open-mmlab/mmcv/pull/2876
• Replace tin_shift op of MLU backend with mlu-ops by @ClowDragon in https://github.com/open-mmlab/mmcv/pull/2911
• Add torch mluops check before call mluOpsxxx interface by @ClowDragon in https://github.com/open-mmlab/mmcv/pull/2874
• Refine the implementation of NMS op in Ascend device by @momo609 in https://github.com/open-mmlab/mmcv/pull/2658
• Optimize the performace of ms_deform_attn for MLU device by @Wickyzheng in https://github.com/open-mmlab/mmcv/pull/2510
• Update parrots image by @CokeDong in https://github.com/open-mmlab/mmcv/pull/2522
• Add AMP support for MLU_DCNv2 by @mengpenghui in https://github.com/open-mmlab/mmcv/pull/2548
• Use official isort by @triple-Mu in https://github.com/open-mmlab/mmcv/pull/2574
• Increase the dtype limit to maintain consistency with the gpu. by @momo609 in https://github.com/open-mmlab/mmcv/pull/2724
• Add a comment for the use of masked_conv on Ascend device by @zcc9707 in https://github.com/open-mmlab/mmcv/pull/2689
• Ignore mlu-ops files by @defei-coder in https://github.com/open-mmlab/mmcv/pull/2691
• Delete yapf verify by @zhouzaida in https://github.com/open-mmlab/mmcv/pull/2944
• Add a default value for MMCV_MLU_ARGS by @defei-coder in https://github.com/open-mmlab/mmcv/pull/2688

Bug Fixes

• Fix a typo in runner/hooks/evaluation.py by @jamiechoi1995 in https://github.com/open-mmlab/mmcv/pull/2523
• Fix c++/cuda lint failed by @HAOCHENYE in https://github.com/open-mmlab/mmcv/pull/2528
• Fix CI failed caused by 'Python.h' not found by @ice-tong in https://github.com/open-mmlab/mmcv/pull/2530
• Fix a dilation bug of MLU-DCNv2 and add limitation of torchvision by @mengpenghui in https://github.com/open-mmlab/mmcv/pull/2519
• Check the version of torchvision in init of DCN by @mengpenghui in https://github.com/open-mmlab/mmcv/pull/2556
• Fix typo in docstring by @HAOCHENYE in https://github.com/open-mmlab/mmcv/pull/2549
• Fix the parameter error of DeformableRoiPool in Ascend device by @dflhw in https://github.com/open-mmlab/mmcv/pull/2546
• Upgrade the version of isort to fix lint error by @zhouzaida in https://github.com/open-mmlab/mmcv/pull/2572
• Fix tensor descriptor setting in MLU ball_query. by @DanieeelLiu in https://github.com/open-mmlab/mmcv/pull/2579
• Fix a typo in the docstring of MSDeformAttn by @nijkah in https://github.com/open-mmlab/mmcv/pull/2599
• Fix the paper link error in the docstring by @BainOuO in https://github.com/open-mmlab/mmcv/pull/2618
• Prevent divide-by-zero error on Ascend device for bbox_overlaps by @dflhw in https://github.com/open-mmlab/mmcv/pull/2644
• Fix boxes.scalar_type in nms_npu by @momo609 in https://github.com/open-mmlab/mmcv/pull/2731
• Fix torch 1.8 adpater npu bug by @momo609 in https://github.com/open-mmlab/mmcv/pull/2970
• Fix npu optim by @luomaoling in https://github.com/open-mmlab/mmcv/pull/2766
• Keep the shape value of ascend iou op's parameter 2 smaller than parameter 1 by @dflhw in https://github.com/open-mmlab/mmcv/pull/2820
• Fix arf op's write conflict when num_orientations is not 1 by @dflhw in https://github.com/open-mmlab/mmcv/pull/2822
• Revert "[Fix] Fix arf op's write conflict when num_orientations is not 1" by @dflhw in https://github.com/open-mmlab/mmcv/pull/2826
• Fix deform_conv ops on Ascend NPU by @Ginray in https://github.com/open-mmlab/mmcv/pull/2805
• fix format error in roi_align_rotated by @ClowDragon in https://github.com/open-mmlab/mmcv/pull/2886
• Update mlu-ops version by @ClowDragon in https://github.com/open-mmlab/mmcv/pull/2922
• nms_rotated_npu accept angle parameter by @18251968697 in https://github.com/open-mmlab/mmcv/pull/2670
• Move voxel_size to the device where points are by @dflhw in https://github.com/open-mmlab/mmcv/pull/2681
• Fix parrots bbox_overlaps by @CokeDong in https://github.com/open-mmlab/mmcv/pull/2684

Others

• Refine the docstring of EvalHook by @Yan-Daojiang in https://github.com/open-mmlab/mmcv/pull/2576
• Steps to compile mmcv-full on MLU machine by @defei-coder in https://github.com/open-mmlab/mmcv/pull/2571
• Remove .owners.yml by @zhouzaida in https://github.com/open-mmlab/mmcv/pull/2712
• Build macos wheel for torch2.0.0 by @zhouzaida in https://github.com/open-mmlab/mmcv/pull/3008
• Bump version to v1.7.2 by @zhouzaida in https://github.com/open-mmlab/mmcv/pull/3007
• Update version info by @zhouzaida in https://github.com/open-mmlab/mmcv/pull/2981
• Replace the ubuntu-18.04 with 22.04 in CI by @zhouzaida in https://github.com/open-mmlab/mmcv/pull/2793

New Contributors

• @MiniTIckW made their first contribution in https://github.com/open-mmlab/mmcv/pull/2480
• @Wickyzheng made their first contribution in https://github.com/open-mmlab/mmcv/pull/2510
• @DaGaiBa made their first contribution in https://github.com/open-mmlab/mmcv/pull/2487
• @ice-tong made their first contribution in https://github.com/open-mmlab/mmcv/pull/2530
• @enemy1205 made their first contribution in https://github.com/open-mmlab/mmcv/pull/2477
• @Yan-Daojiang made their first contribution in https://github.com/open-mmlab/mmcv/pull/2576
• @allanzelener made their first contribution in https://github.com/open-mmlab/mmcv/pull/2547
• @xinlianglalala made their first contribution in https://github.com/open-mmlab/mmcv/pull/2569
• @BainOuO made their first contribution in https://github.com/open-mmlab/mmcv/pull/2618
• @zcc9707 made their first contribution in https://github.com/open-mmlab/mmcv/pull/2689
• @luomaoling made their first contribution in https://github.com/open-mmlab/mmcv/pull/2753

Full Changelog: https://github.com/open-mmlab/mmcv/compare/v1.7.1...v1.7.2

😀 We are glad to announce that we are providing the mmcv pre-built packages for PyTorch 2.1.0 starting from MMCV v2.1.0.

pip install -U openmim
mim install mmcv

Features

• Add the implementation of dynamic_scatter with mlu-ops by @Danielmic in https://github.com/open-mmlab/mmcv/pull/2847
• Add the implementation of diff_iou_rotated with mlu-ops by @Danielmic in https://github.com/open-mmlab/mmcv/pull/2840
• Add the support of points_in_polyogns for Ascend device by @long11111111 in https://github.com/open-mmlab/mmcv/pull/2848
• Add the support of BoxIouRotated op for ascend device by @MrShadowY in https://github.com/open-mmlab/mmcv/pull/2842
• Support modulated_deform_conv and deform_conv with cambricon MLU backend by @qipengh in https://github.com/open-mmlab/mmcv/pull/2823
• Add the support for group_points ops with Ascend by @673958639 in https://github.com/open-mmlab/mmcv/pull/2935
• Support torch_npu 2.1 by @momo609 in https://github.com/open-mmlab/mmcv/pull/2909
• Adapt new dipu device by @CokeDong in https://github.com/open-mmlab/mmcv/pull/2905
• Use PyTorch WARP_SHFL_DOWN macro for half support by @zstreet87 in https://github.com/open-mmlab/mmcv/pull/2843

Enhancements

• Support dipu_mock_cuda=False in dipu for mmcv ext ops with cpu fallback by @CokeDong in https://github.com/open-mmlab/mmcv/pull/2839
• Add torch mluops check before calling mluOpsxxx interface by @ClowDragon in https://github.com/open-mmlab/mmcv/pull/2871
• Change the order of condition to make fx wok by @youkaichao in https://github.com/open-mmlab/mmcv/pull/2883
• Rename fast_conv_bn_eval to efficient_conv_bn_eval by @youkaichao in https://github.com/open-mmlab/mmcv/pull/2884
• Replace focal_loss_sigmoid op of MLU backend with mlu-ops by @qirun-uiuc in https://github.com/open-mmlab/mmcv/pull/2855
• Replace bbox_overlaps op of MLU backend with mlu-ops by @qirun-uiuc in https://github.com/open-mmlab/mmcv/pull/2879
• Replace roipoint_pool3d op of MLU backend with mlu-ops by @ClowDragon in https://github.com/open-mmlab/mmcv/pull/2875
• Replace tin_shift op of MLU backend with mlu-ops by @ClowDragon in https://github.com/open-mmlab/mmcv/pull/2910
• Use unified interface in Ascend kernel by @momo609 in https://github.com/open-mmlab/mmcv/pull/2945

Bug Fixes

• Fix roi_align npu bug by @momo609 in https://github.com/open-mmlab/mmcv/pull/2862
• Fix format error in roi_align_rotated by @ClowDragon in https://github.com/open-mmlab/mmcv/pull/2887
• Fix data race risk of cache_randomness by @HarborYuan in https://github.com/open-mmlab/mmcv/pull/2927
• Update mlu-ops version by @ClowDragon in https://github.com/open-mmlab/mmcv/pull/2921
• Fix setup.py for torch_npu v2.1 by @momo609 in https://github.com/open-mmlab/mmcv/pull/2928
• Fix the support for nms_rotated in Ascend by @momo609 in https://github.com/open-mmlab/mmcv/pull/2931
• Fix modulated_deform_conv.py for torch_npu v2.1 by @6Vvv in https://github.com/open-mmlab/mmcv/pull/2941
• Temporarily disable mps ops for torch2.1.0 by @grimoire in https://github.com/open-mmlab/mmcv/pull/2958
• Update c++17 in setup.py by @grimoire in https://github.com/open-mmlab/mmcv/pull/2865
• Adapt to rocm by @xiabo123 in https://github.com/open-mmlab/mmcv/pull/2827

Others

• Install wheel package in CI to support bdist_wheel command by @zhouzaida in https://github.com/open-mmlab/mmcv/pull/2851
• Add torch2.1.0 checking in CI by @zhouzaida in https://github.com/open-mmlab/mmcv/pull/2955
• Bump version to 2.1.0 by @zhouzaida in https://github.com/open-mmlab/mmcv/pull/2959

New Contributors

• @673958639 made their first contribution in https://github.com/open-mmlab/mmcv/pull/2935
• @6Vvv made their first contribution in https://github.com/open-mmlab/mmcv/pull/2941

Full Changelog: https://github.com/open-mmlab/mmcv/compare/v2.0.1...v2.1.0

Features

• Add fast_conv_bn_eval option in ConvModule for fast validation and training in Eval mode by @youkaichao in https://github.com/open-mmlab/mmcv/pull/2807
• Support mmcv ext with DIOPI impl by @CokeDong in https://github.com/open-mmlab/mmcv/pull/2790
• Add the support of arf op for ascend device by @dflhw in https://github.com/open-mmlab/mmcv/pull/2792
• Add the support for rotated_feature_align with MLU by @tudejiang79 in https://github.com/open-mmlab/mmcv/pull/2809
• Replace the implementation of roi_align_rotated with mlu-ops by @tudejiang79 in https://github.com/open-mmlab/mmcv/pull/2808

Enhancements

• Refactor the pytorch and cuda combination for testing in CI by @zhouzaida in https://github.com/open-mmlab/mmcv/pull/2693
• Remove two outdated files by @zhouzaida in https://github.com/open-mmlab/mmcv/pull/2740
• Update the supported torch and cuda versions in README by @zhouzaida in https://github.com/open-mmlab/mmcv/pull/2687
• Remove .owners.yml by @zhouzaida in https://github.com/open-mmlab/mmcv/pull/2743
• Enhance issue templates by @zhouzaida in https://github.com/open-mmlab/mmcv/pull/2776
• Raise an error if fails to read image by @Ezra-Yu in https://github.com/open-mmlab/mmcv/pull/2791
• Make build_xxx_layer allow accepting a class type by @HAOCHENYE in https://github.com/open-mmlab/mmcv/pull/2782
• Replace carafe op of MLU backend with mlu-ops by @qipengh in https://github.com/open-mmlab/mmcv/pull/2817
• Replace the implementation of psa_mask with mlu-ops. by @DanieeelLiu in https://github.com/open-mmlab/mmcv/pull/2810
• Simplify the logic of sparse_conv by @duzekunKTH in https://github.com/open-mmlab/mmcv/pull/2802
• Drop the outdated torch versions in CI by @zhouzaida in https://github.com/open-mmlab/mmcv/pull/2830
• Add ConvModule.turn_on_fast_conv_bn_eval to reduce repetitive code and dynamically bind conv during forward by @youkaichao in https://github.com/open-mmlab/mmcv/pull/2835

Bug Fixes

• ops can not be built in github action by @zhouzaida in https://github.com/open-mmlab/mmcv/pull/2783
• Build CUDA ops in CI by @zhouzaida in https://github.com/open-mmlab/mmcv/pull/2794
• Fix type hint in _scale_size and rescale_size by @MambaWong in https://github.com/open-mmlab/mmcv/pull/2799
• Fix the support for ROCm by @xiabo123 in https://github.com/open-mmlab/mmcv/pull/2811
• Keep the shape value of ascend iou op's parameter 2 smaller than parameter 1 by @dflhw in https://github.com/open-mmlab/mmcv/pull/2821
• Fix arf op's write conflict when num_orientations is not 1 by @dflhw in https://github.com/open-mmlab/mmcv/pull/2824
• Correct mmengine version requirement by @wateryzephyr in https://github.com/open-mmlab/mmcv/pull/2816
• Fix deform_conv ops on Ascend NPU by @Ginray in https://github.com/open-mmlab/mmcv/pull/2832

Documentations

• Describe branch changes by @zhouzaida in https://github.com/open-mmlab/mmcv/pull/2741
• Add npu build.md and update roi_pool_npu adpater by @momo609 in https://github.com/open-mmlab/mmcv/pull/2812
• small fix for RandomResize doc by @i-aki-y in https://github.com/open-mmlab/mmcv/pull/2829

New Contributors

• @MambaWong made their first contribution in https://github.com/open-mmlab/mmcv/pull/2799
• @i-aki-y made their first contribution in https://github.com/open-mmlab/mmcv/pull/2829
• @wateryzephyr made their first contribution in https://github.com/open-mmlab/mmcv/pull/2816

Full Changelog: https://github.com/open-mmlab/mmcv/compare/v2.0.0...v2.0.1

Highlights

Introducing mmcv v2.0.0, we have made significant updates to the package. Training process-related modules, such as Runner, Hook, and Parallel, have been removed and are now provided by MMEngine. With this release, we have added numerous data transformations, including CenterCrop. Additionally, starting from mmcv v2.0.0, we are providing pre-built packages for PyTorch v2.0.0.

Features

• Introduced a variety of data transformations
• Added StyleGAN3 Ops (#2290)
• Implemented BezierAlign CUDA op (#2393)
• Added box_iou_quadri & nms_quadri (#2277)
• Introduced stack ball query and stack group points ops (#2292)
• Supported LayerScale in FFN (#2451)
• Added C++ implementation for bbox_overlaps (#2477)

Enhancements

• Adopted the new fileio interface from mmengine (#2468)
• Enabled MultiScaleDeformableAttention with AMP (#2541)
• Registered Compose to TRANSFORMS (#2600)
• Supported value_proj_ratio in MultiScaleDeformableAttention (#2452)

Backwards Incompatible Changes

• Removed mmcv.fileio (#2179). The new fileio interfaces can be found at mmengine.fileio
• Removed mmcv.runner, mmcv.parallel, mmcv.engine and mmcv.device (#2216)
• Removed all classes in mmcv.utils (eg Config and Registry) and many functions. Only a few functions related to mmcv are reserved (#2217). The new Config and Registry can be found at mmengine.registry and mmengine.config
• Removed mmcv.onnex, mmcv.tensorrt modules, and related functions (#2225)
• Dropped support for Python versions < 3.7 (#2525)
• Dropped support for PyTorch versions < 1.8 and CUDA versions < 10.1
• Renamed the package name mmcv to mmcv-lite and mmcv-full to mmcv. Also, changed the default value of the environment variable MMCV_WITH_OPS from 0 to 1 (#2235)

pip install openmim

# Contains ops, because the highest version of mmcv-full
# is less than 2.0.0, so there is no need to add version
# restrictions
mim install mmcv-full

# do not contain ops
mim install "mmcv < 2.0.0"

pip install openmim

# Contains ops
mim install mmcv

# Ops are not included, because the starting version of
# mmcv-lite is 2.0.0, so there is no need to add version
# restrictions
mim install mmcv-lite

Bug Fixes

• Improved compatibility of training stylegan2 (#2694)
• Replace torch/extension.h with torch/types.h to fix compilation error on Windows (#2698)
• Fixed torch2.0 dcn/mdcn symbolic (#2695)
• Skipped fused_lrelu op when gcc is less than 6.0 or CUDA is less than 10.2 (#2671)
• Skipped filtered_lrelu ut when CUDA is less than 10.2 (#2677)
• Called operator __half explicitly (#2608)
• Ensured fileio related interfaces maintain backward compatibility (#2539)
• Fixed CI failure due to protobuf version (#2529)
• Corrected _flip_keypoint result of RandomFlip (#2527)
• Fixed Windows OS version to 2019 (#2503)
• Resolved optimizer 'ValueError' when using PReLU activation (#2444)
• Fixed improper assertion in RandomChoiceResize (#2450)
• Fixed Correlation op (#2274)
• Fixed roi align symbolic for torch>=1.13 (#2443)
• Added swap_label_pairs in RandomFlip (#2332)
• Fixed MPS ops for torch1.12+ (#2302)
• Corrected calculation error of out_w in MaskedConv2dFunction (#2264)
• Cast mask type to enable training with amp (#2220)

Documentations

• Fixed torch2.0 dcn/mdcn symbolic (#2695)
• Skipped fused_lrelu op when gcc is less than 6.0 or CUDA is less than 10.2 (#2671)
• Skipped filtered_lrelu ut when CUDA is less than 10.2 (#2677)
• Called operator __half explicitly (#2608)
• Used official isort (#2575)
• Ensured fileio related interfaces maintain backward compatibility (#2539)
• Fixed CI failure due to protobuf version (#2529)
• Corrected _flip_keypoint result of RandomFlip (#2527)
• Fixed Windows OS version to 2019 (#2503)
• Resolved optimizer 'ValueError' when using PReLU activation (#2444)
• Fixed improper assertion in RandomChoiceResize (#2450)
• Fixed Correlation op (#2274)
• Fixed roi align symbolic for torch>=1.13 (#2443)
• Added swap_label_pairs in RandomFlip (#2332)
• Fixed MPS ops for torch1.12+ (#2302)
• Corrected calculation error of out_w in MaskedConv2dFunction (#2264)
• Cast mask type to enable training with amp (#2220)

Contributors

@HAOCHENYE @grimoire @zhouzaida @nijkah @BainOuO @enemy1205 @C1rN09 @triple-Mu @okotaku @vansinhu @Harold-lkk @KeiChiTse @xiexinch @xin-li-67 @VVsssssk @LYMDLUT @MeowZheng @yxzhao2022 @mzr1996 @ZwwWayne @YuanLiuuuuuu @ly015 @plyfager @GT9505 @zytx121 @hhaAndroid @fangyixiao18 @JingweiZhang12 @xcnick @zengyh1900

Features

• Support LayerScale in FFN (#2451)
• Add BezierAlign CUDA op (#2393)
• Pick Ascend ops from the master branch (#2501)

Improvements

• Support value_proj_ratio in MultiScaleDeformableAttention (#2452)
• Use the new interface of fileio from mmengine (#2468, #2539)

Bug fixes

• Fix optimizer 'ValueError' when using PReLU activation (#2444)
• Fix _flip_keypoint of RandomFlip returns a wrong result (#2527)

Documentations

• Update the supported PyTorch and CUDA versions (#2456)
• Add convention for the order of data transforms (#2442)
• Update qq group link (#2454)

Others

• Fix the version of Windows OS to 2019 in CI (#2503)
• Deprecate the support for python3.6 (#2525)
• Fix CI failed due to the version of protobuf (#2529)

Contributors

A total of 9 developers contributed to this release.
@zhouzaida @KeiChiTse @Harold-lkk @vansin @okotaku @grimoire @HAOCHENYE @CokeDong @ckirchhoff2021

New Contributors

• @KeiChiTse made their first contribution in https://github.com/open-mmlab/mmcv/pull/2444

Full Changelog: https://github.com/open-mmlab/mmcv/compare/v2.0.0rc3...v2.0.0rc4

Features

• Support RoiawarePool3d, MultiScaleDeformableAttn, ModulatedDeformConv2d and NMS with cambricon MLU backend (#2359, #2396, #2411, #2401)
• Add Ascend npu adapter for FusedBiasLeakyRelu, DeformableRoIPool and NMS (#2474, #2481, #2387)
• Support receptive field search of CNN models (https://github.com/open-mmlab/mmcv/pull/2056)

Bug fixes

• Create Tensor with new_* method to support AMP (https://github.com/open-mmlab/mmcv/pull/2389)
• Fix DCN TensorRT plugin (https://github.com/open-mmlab/mmcv/pull/2408)
• Fix the bug when the input mask is not '0-1-tensor' in masked_conv (https://github.com/open-mmlab/mmcv/pull/2423)
• Fix UT caused by the new version of packaging (https://github.com/open-mmlab/mmcv/pull/2482)
• Change the block size to 1024 during compilation (https://github.com/open-mmlab/mmcv/pull/2460)
• Fix skip_layer for RF-Next (https://github.com/open-mmlab/mmcv/pull/2489)

Documentations

• Update supported pytorch versions (https://github.com/open-mmlab/mmcv/pull/2382)
• Add code style guide (https://github.com/open-mmlab/mmcv/pull/2406)
• Add currently-npu-supported-ops in ops.md (https://github.com/open-mmlab/mmcv/pull/2420)
• Refine contributing.md (https://github.com/open-mmlab/mmcv/pull/1941)
• Fix typos in contributing docs (#2462, #2485)
• Update qq group link (https://github.com/open-mmlab/mmcv/pull/2453)
• Replace NPU with Ascend in installation documentatio (https://github.com/open-mmlab/mmcv/pull/2469)

Others

• Add torch1.13 checking in CI (https://github.com/open-mmlab/mmcv/pull/2405)
• Update the URL of pyupgrade pre-commit hook (https://github.com/open-mmlab/mmcv/pull/2448)

Contributors

A total of 24 developers contributed to this release.
@ZhangLearning @grimoire @zhouzaida @cathyzhang222 @DerryHub @ckirchhoff2021 @wangjiangben-hw @zcc-zjut @momo609 @ZShaopeng @Wickyzheng @HAOCHENYE @gasvn @lzyhha @zytx121 @BayMaxBHL @sunyc11 @mengpenghui @RangeKing @vansin @Taited @jayggh @xiabo123 @CokeDong

New Contributors

• @ZhangLearning made their first contribution in https://github.com/open-mmlab/mmcv/pull/2359
• @DerryHub made their first contribution in https://github.com/open-mmlab/mmcv/pull/2408
• @gasvn made their first contribution in https://github.com/open-mmlab/mmcv/pull/2056
• @BayMaxBHL made their first contribution in https://github.com/open-mmlab/mmcv/pull/2448
• @sunyc11 made their first contribution in https://github.com/open-mmlab/mmcv/pull/2459
• @mengpenghui made their first contribution in https://github.com/open-mmlab/mmcv/pull/2411
• @Taited made their first contribution in https://github.com/open-mmlab/mmcv/pull/2485
• @jayggh made their first contribution in https://github.com/open-mmlab/mmcv/pull/2474
• @xiabo123 made their first contribution in https://github.com/open-mmlab/mmcv/pull/2460
• @lzyhha made their first contribution in https://github.com/open-mmlab/mmcv/pull/2489

Full Changelog: https://github.com/open-mmlab/mmcv/compare/v1.7.0...v1.7.1

Features

• Add stack ball query and stack group points ops (#2292)
• Support RoIAwarePool3d, Iou3d and MultiScaleDeformableAttn with MLU backend (#2359, #2339)
• Support NMS with MLU590 backend (#2401)

Improvements

• Adapt mlu code to cntoolkit3.0.1

Bug fixes

• Fix roi align symbolic for torch>=1.13 (#2443)
• Create Tensor with new_* method to support AMP (#2389)
• Fix three nn op can not accept half tensor (#2348)
• Fix the potential NaN bug in calc_square_dist (#2356)
• Fix Correlation op (#2274)
• Fix a not proper assertion in RandomChoiceResize (#2450)

Documentations

• Make installation commands compatible with windows CMD (#2353)
• Add macOS building notice (#2364)
• Refine contributing.md (#1941)
• Add code style guide (#2406)

Others

• Add torch1.13 checking in CI (#2441)

Contributors

A total of 13 developers contributed to this release.
@LYMDLUT @LYM-fire @zhouzaida @VVsssssk @xin-li-67 @grimoire @ZCMax @ZhangLearning @cathyzhang222 @HAOCHENYE @defei-coder @ZShaopeng @xiexinch

New Contributors

• @LYMDLUT made their first contribution in https://github.com/open-mmlab/mmcv/pull/2353
• @xiexinch made their first contribution in https://github.com/open-mmlab/mmcv/pull/2450

Full Changelog: https://github.com/open-mmlab/mmcv/compare/v2.0.0rc2...v2.0.0rc3

Highlights

Starting from v1.7.0, we are providing pre-built packages for PyTorch v1.13.0, as well as for the macOS platform. Note that, for the mac M1 chip, only the pre-built packages on PyTorch v1.13.0 are available.

pip install -U openmim
mim install mmcv-full

Features

• Support training on Ascend device (https://github.com/open-mmlab/mmcv/pull/2262, https://github.com/open-mmlab/mmcv/pull/2370)
• Add box_iou_quadri & nms_quadri (https://github.com/open-mmlab/mmcv/pull/2277)
• Add stack ball query and stack group points ops (https://github.com/open-mmlab/mmcv/pull/2292)
• Support PrRoI op for Parrots (https://github.com/open-mmlab/mmcv/pull/2280)
• Support Iou3d with cambricon MLU backend (https://github.com/open-mmlab/mmcv/pull/2339)
• Add getJobLimitCapability interface and use it in nms (https://github.com/open-mmlab/mmcv/pull/2337)

Improvements

• Support SiLU with torch < 1.7.0 (https://github.com/open-mmlab/mmcv/pull/2278)
• Update onnx registry (https://github.com/open-mmlab/mmcv/pull/2294)
• Adapt mlu code to cntoolkit3.0.1 (https://github.com/open-mmlab/mmcv/pull/2248)
• Refactor the nms3d op to support MLU (https://github.com/open-mmlab/mmcv/pull/2296)
• Add ability to pass logger instance to frameworks (https://github.com/open-mmlab/mmcv/pull/2317)
• Add a new argument define_metric in wandb hook (https://github.com/open-mmlab/mmcv/pull/2237)

Bug fixes

• Fix warning of CUDA ops (https://github.com/open-mmlab/mmcv/pull/2324)
• Fix the bug of uninitialized prarmeter (https://github.com/open-mmlab/mmcv/pull/2345)
• Fix three nn op can not accept half tensor (https://github.com/open-mmlab/mmcv/pull/2348)
• Fix Correlation op (https://github.com/open-mmlab/mmcv/pull/2274)
• Fix the potential NaN bug in calc_square_dist() (https://github.com/open-mmlab/mmcv/pull/2356)
• Fix MPS ops for torch1.12+ (https://github.com/open-mmlab/mmcv/pull/2302)

Documentations

• Refine README and installation documentations (https://github.com/open-mmlab/mmcv/pull/1977)
• Update README and fix typo in docs (https://github.com/open-mmlab/mmcv/pull/2358)
• Add steps to install mmcv-full on Ascend machine (https://github.com/open-mmlab/mmcv/pull/2363)
• Add maintenance plan and print deprecated message (https://github.com/open-mmlab/mmcv/pull/2357)

Others

• Upgrade pre commit hooks (https://github.com/open-mmlab/mmcv/pull/2321)
• Build macOS wheel in Github Action (https://github.com/open-mmlab/mmcv/pull/2311, https://github.com/open-mmlab/mmcv/pull/2366)

Contributors

A total of 14 developers contributed to this release.
@okotaku @zhouzaida @grimoire @wangjiangben-hw @ckirchhoff2021 @tpoisonooo @defei-coder @budefei @CokeDong @shcheklein @cathyzhang222 @ZCMax @zytx121 @momo609

New Contributors

• @tpoisonooo made their first contribution in https://github.com/open-mmlab/mmcv/pull/2324
• @shcheklein made their first contribution in https://github.com/open-mmlab/mmcv/pull/2317
• @cathyzhang222 made their first contribution in https://github.com/open-mmlab/mmcv/pull/2339
• @momo609 made their first contribution in https://github.com/open-mmlab/mmcv/pull/2363

Full Changelog: https://github.com/open-mmlab/mmcv/compare/v1.6.2...v1.7.0

😀 We are glad to announce that we are providing the mmcv pre-built packages for macOS (x86_64 architecture).

pip install -U openmim
mim install 'mmcv>=2.0.0rc2'

Features

• Add TTA transform (#2146)
• Add two CUDA ops, box_iou_quadri and nms_quadri (#2277)
• Add two MLU ops, RoIPointPool3d and Deformable RoIPool (#2247, #2137)
• Register a new activation layer SiLU to ACTIVATION_LAYERS (#2256, #2278)

Bug fixes

• Fix the calculation error of out_w in MaskedConv2dFunction (#2264)
• Fix MPS ops for torch1.12+ (#2302)
• Add swap_labe_pairs in RandomFlip (#2332)

Documentations

• Fix some mistakes in data_process.md (#2283)
• Refactor the API structures of documentation (#2254)
• Add a reminder in docs for macOS M1 users (#2268)
• Translate data_transform.md to English (#2325)
• Refine README and installation documentation (#2340)
• Make installation commands compatible with Windows cmd (#2353)

Others

• Update configs of CircleCI and GitHub Action (#2255)
• Build macOS wheels in Github Action (#2350)
• Upgrade the versions of pre-commit hooks (#2328)
• Remove onnx-related files (#2295)

New Contributors

• @yxzhao2022 made their first contribution in https://github.com/open-mmlab/mmcv/pull/2283
• @xin-li-67 made their first contribution in https://github.com/open-mmlab/mmcv/pull/2268
• @LYMDLUT made their first contribution in https://github.com/open-mmlab/mmcv/pull/2353

Contributors

@yxzhao2022 @LYMDLUT @grimoire @xin-li-67 @zytx121 @MeowZheng @HAOCHENYE @zhouzaida @ZShaopeng @defei-coder @okotaku

Full Changelog: https://github.com/open-mmlab/mmcv/compare/v2.0.0rc1...v2.0.0rc2

Features

• Register a new activation layer SiLU to ACTIVATION_LAYERS (#2256)
• Add support of TorchVision's Model Registration API (#2246)
• Add five MLU ops, which are CARAFEcarafe, MaskedConv2d, ThreeNN, DeformRoiPool, and RoipointPool3d (#2212, #2202, #2215, #2137,#2247)

Improvements

• Add support for logging parameters to MlflowLoggerHook (#2188)
• Add a new argument params to MlflowLoggerHook (#2193)
• Support different border modes in imrotate (#2141)
• Add pillow backend for ColorJitter related functions (#2127)

Bug fixes

• Fix unit tests of onnx (#2155)
• Fix cumulative gradient optimizer when resuming (#2093)
• Path mapping only once in storage backends (#2204)
• Fix RoiAlignRotated MLU implementation (#2210)
• Fix a potential bug in PrRoIPool op (#2200)
• Fix spconv clang-format (#2260)
• Remove the restrictions of onnx versions (#2251)
• Fix init_weights of MultiScaleDeformableAttention (#2158)
• Cast the type of mask in ModulatedDeformConv2dFunction to enable training with AMP (#2220)
• Fix the calculation error of out_w in MaskedConv2dFunction (#2264)
• Fix ROCm backend support (#1918)

Documentations

• Limit sphinx_markdown_tables and markdown versions (#2144)
• Add swith_language.md in docs (#2160)
• Fix the example error in registry.md (#2243)
• Add zhihu articles (#2157)
• Fix some mistakes in data_process.md (#2283)

Others

• Add type hints for mmcv/image (#2089)

New Contributors

• @gfyts0123 made their first contribution in https://github.com/open-mmlab/mmcv/pull/2103
• @xcnick made their first contribution in https://github.com/open-mmlab/mmcv/pull/2155
• @eivtho made their first contribution in https://github.com/open-mmlab/mmcv/pull/2188
• @CokeDong made their first contribution in https://github.com/open-mmlab/mmcv/pull/2189
• @tudejiang79 made their first contribution in https://github.com/open-mmlab/mmcv/pull/2210
• @DanieeelLiu made their first contribution in https://github.com/open-mmlab/mmcv/pull/2215
• @PungTeng made their first contribution in https://github.com/open-mmlab/mmcv/pull/2243
• @ZShaopeng made their first contribution in https://github.com/open-mmlab/mmcv/pull/2247
• @zstreet87 made their first contribution in https://github.com/open-mmlab/mmcv/pull/1918
• @okotaku made their first contribution in https://github.com/open-mmlab/mmcv/pull/2256
• @datumbox made their first contribution in https://github.com/open-mmlab/mmcv/pull/2246

Full Changelog: https://github.com/open-mmlab/mmcv/compare/v1.6.1...v1.6.2

Highlights

Starting from mmcv v2.0.0rc1, mmcv removes training process related modules such as Runner, Hook, Parallel, which will be provided by MMEngine. In addition, in v2.0.0rc1, mmcv added many data augmentation methods, such as CenterCrop.

😀 We are glad to announce that we are providing the mmcv-full pre-built packages for PyTorch 1.12.0 starting from v1.6.0.

pip install -U openmim
mim install mmcv-full

Features

• Add bbox overlap MPS op (#2123)
• Add PrRoIPool CUDA op (#2113)

Improvements

• Improve ProfilerHook behavior when using a relative (or empty) dir_name (#2119)

Documentations

• Fix some mistakes of examples (#2120)
• Fix typos (#2124)
• Fix markdown version (#2121)

Others

• Add .pre-commit-config-zh-cn.yaml to speed up pre-commit in some cases

Contributors

A total of 6 developers contributed to this release.

@JingweiZhang12 @grimoire @zhouzaida @GPhilo @0reza @Happylkx

New Contributors

• @Happylkx made their first contribution in https://github.com/open-mmlab/mmcv/pull/2120
• @0reza made their first contribution in https://github.com/open-mmlab/mmcv/pull/2124
• @GPhilo made their first contribution in https://github.com/open-mmlab/mmcv/pull/2119
• @JingweiZhang12 made their first contribution in https://github.com/open-mmlab/mmcv/pull/2113

Full Changelog: https://github.com/open-mmlab/mmcv/compare/v1.6.0...v1.6.1

😀 We are glad to announce that we are providing the mmcv-full pre-built packages for PyTorch 1.12.0 starting from v1.6.0.

pip install -U openmim
mim install mmcv-full

Features

• Add support for MPS (#2092)
• Support RoiPool with Cambricon MLU backend (#2073)

Improvements

• Add torch_meshgrid wrapper due to PyTorch change (#2044)
• Add _run_ddp_forward method for MMDistributedDataParallel to be compatible with PyTorch1.12 (#2107)

Bug fixes

• Fix name error in trt_deform_conv.cpp (#2075)
• Add torchvision_0.12.json for testing torchvision0.13 (#2084)
• Fix num_channels in test_build_norm_layer which can not be divisible by num_groups (#2085)
• Fix index error when using multi-samplers strategy (#2094)
• Fix undefined variable error in pixel_group.cpp (#2104)

Type Hints

#2031 #1991 #2003 #1995 #1993 #2030 #2002

Documentations

• Reformat the op docs (#2052)
• Add Dockerfile (#1974)

Contributors

A total of 14 developers contributed to this release.

@imabackstabber @triple-Mu @HAOCHENYE @zhouzaida @ZwwWayne @pallgeuer @triwahyuu @ytzhao @WINDSKY45 @EvelynWang-0423 @grimoire @zcyKTH @zhangtingyu11 @ychfan

Features

• Add ChamferDistance CUDA op (#1933)
• Add two MLU ops, RoiAlignRotated and PSAMask (#2033 #2024)

Bug fixes

• Fix protobuf compatible error (#1992)
• Include torchvision_12.json in the sdist package (#2039)
• make iou3d.boxes_iou3d actually calculate 3D IoU (#2018)
• Fix batched_nms for rotated box and add type hints for nms.py (#2006)

Type Hints

Thanks to contributors for their efforts, mmcv has added type hints, which makes the code more readable. Here are all the pull requests of adding type hints.

#1981 #1989 #1998 #1985 #1987 #1983 #2005 #1988 #2013 #2007 #2015 #2017 #2001 #2019 #2021 #2023 #2000 #2026 #1997 #2029 #2016 #2008 #2031 #1982 #1994 #1999 #2020 #2037 #2034 #1996 #2050

Documentations

• Update copyright years in docs (#2042)
• Fix mdformat version to support python3.6 (#2014)

Contributors

A total of 22 developers contributed to this release.

@RangeKing @gy-7 @triple-Mu @ytzhao @zengxiang68 @yangrisheng @WINDSKY45 @ShawnHXH @vansin @HarborYuan
@tcexeexe @luopeichao @zcyKTH @filaPro @nxznm @liuyanyi @grimoire @zhouzaida @HAOCHENYE @ZwwWayne @teamwong111 @imabackstabber

Improvements

• Lower the restrictions of _resize method in BaseMergeCell (#1959)
• Replace BEV IoU with 3D IoU (#1902)
• Hook can get data_batch from Runner (#1940)
• Add pyupgrade pre-commit hook (#1937)

Bug fixes

• Fix bbox overlap fp16 (#1958)
• Skip CPU test in test_rotated_feature_align.py for parrots (#1968)
• Fix is_module_wrapper (#1900)
• Fix the problem that the instance cannot be reused when overwriting the file client (#1747)

Documentations

• Replace markdownlint with mdformat for avoiding installing ruby (#1936)
• Fix failed links in docs/zh_cn/faq.md (#1964)
• Fix docstrings in EvalHook (#1978)

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 14 developers contributed to this release.

@grimoire @teamwong111 @zhouzaida @JarvisKevin @HAOCHENYE @jshilong @filaPro @HIT-cwh @hhaAndroid @ZwwWayne @Tai-Wang @274869388 @wlf-darkmatter @imabackstabber

Features

• Added ClearMLLoggerHook (#1906)
• Added rotated_feature_align cpu & onnxruntime implementations (#1878)
• Supports registering function (#1858)
• Added adjust_hue (#1628)
• Added a script to visualize lr (#1667)

Improvements

• Speeds up bbox_overlaps op (#1718)
• Added support for latest Pillow resampling filter naming scheme (#1931)

Bug fixes

• Fixed collec_env() encoding error on Windows (#1905)
• Fixed dump method of Config (#1837)
• Fixed bbox_overlaps unit tests (#1914)
• Ensures the type of filename parameter in Config is str (#1725)
• Fixed nms rotate illegal memory access (#1891)
• Fixed LmdbBackend which could not pickle env obj (#1764)
• Fixed type annotations in file_client (#1942)
• Fixed bbox overlap fp16 (#1958)

Documentations

• Added IPU installation documentation (#1904)
• Added type annotations (#1947, #1950, #1946)

Contributors

A total of 18 developers contributed to this release.

@imabackstabber @akravchuk97 @SuTanTank @grimoire @teamwong111 @HuDi2018 @WilliamKyle @luopeichao @274869388 @bryandeng @tehkillerbee @cuhk-hbsun @jmercat @triple-Mu @sundongwei @teamwong111 @ZwwWayne @zhouzaida

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

😀 We are glad to announce that we are providing the mmcv-full pre-built packages for torch1.11.0 starting from v1.4.7.

# pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/{cu_version}/{torch_version}/index.html
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu115/torch1.11/index.html
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu113/torch1.11/index.html
# PyTorch does not provide pre-built packages for cu102 on Windows, so does mmcv-full
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu102/torch1.11/index.html

Features

• Config ignores imported modules and functions (#1802)
• Implemented corner pool with python for torch<1.5 (#1772)

Improvements

• Removed warnings in compilation (#1675)
• Updated unit tests of mmdet3d ops (#1811)

Bug fixes

• Fix ROCm support (#1704)
• Fix MultiScaleDeformableAttention (#1823)
• Fix voxelization bug (#1822)
• Fix error cased by _sync_params which was renamed in torch1.11.0 (#1816)

Documentations

• Add more Windows information in README (#1829)

Notes

Since PyTorch 1.10.0 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 12 developers contributed to this release.

@SuTanTank @VVsssssk @wHao-Wu @grimoire @jshilong @zhanggefan @luopeichao @imabackstabber @HAOCHENYE @zhouzaida @ZwwWayne @teamwong111

😀 We are glad to announce that we are providing the mmcv-full pre-built packages for torch1.11.0 starting from v1.4.7.

# pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/{cu_version}/{torch_version}/index.html
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu115/torch1.11/index.html
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu113/torch1.11/index.html
# PyTorch does not provide pre-built packages for cu102 on Windows, so does mmcv-full
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu102/torch1.11/index.html

Features

• Add SegmindLoggerHook (#1650)
• Config supports shallow copy (#1796)
• Support fp16 training for gather_points op (#1758)
• Add non-deterministic voxelization op from mmdet3d (#1783)
• Add worker_init_fn helper function to initialize dataloader workers (#1788)

Bug fixes

• Fix deconv_flops_counter_hook (#1760)
• Fix deform_conv inconsistent pybind (#1781)
• Fix ProfilerHook when using IterBasedRunner (#1755)
• Include spconv header files in the sdist package (#1766)
• Fix bugs in DynamicScatter and Voxelization ops (#1748, #1746)

Documentations

• Fix typos in config.md, cnn.md and data_process.md (#1797, #1798, #1799)
• Fix a wrong example in DefaultOptimizerConstructor (#1795)

Deprecations

• Add deprecated warning of deployment (#1750)

Others

• Add copyright pre-commit-hook (#1742)
• Reorganize OpenMMLab projects in README.md (#1744)
• Fix typo in conv.py (#1759)
• Add .owners.yml to dispatch daily issue (#1775)
• Add PyTorch1.11.0 CI (#1800)

Notes

Since PyTorch 1.10.0 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 15 developers contributed to this release.

@saurbhc @XiwuChen @Xiangxu-0103 @SuTanTank @imflash217 @wangruohui @imabackstabber @del-zhenwu @gaotongxiao @HAOCHENYE @zhouzaida @RunningLeon @ZwwWayne @wHao-Wu @teamwong111