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mmselfsup/requirements/optional.txt

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Bump version to v0.7.0 (#229) * [Enhance] add pre-commit hook for algo-readme and copyright (#213) * [Enhance] add test windows in workflows (#215) * [Enhance] add test windows in workflows * fix lint * add optional requirements * add try-except judgement * add opencv installation in windows test steps * fix path error on windows * update * update path * update * add pytest skip for algorithm test * update requirements/runtime.txt * update pytest skip * [Docs] translate 0_config.md into Chinese (#216) * [Docs] translate 0_config.md into Chinese * [Fix] fix format description in 0_config.md * Update: 0_config.md * [Fix] fix tsne 'no `init_cfg`' error (#222) * [Fix] fix tsne 'no init_cfg' and pool_type errors * [Refactor] fix linting of tsne vis * [Docs] reorganizing OpenMMLab projects and update algorithms in readme (#219) * [Docs] reorganizing OpenMMLab projects and update algorithms in readme * using small letters * fix typo * [Fix] fix image channel bgr/rgb bug and update benchmarks (#210) * [Fix] fix image channel bgr/rgb bug * update model zoo * update readme and metafile * [Fix] fix typo * [Fix] fix typo * [Fix] fix lint * modify Places205 directory according to the downloaded dataset * update results * [Fix] Fix the bug when using prefetch under multi-view methods, e.g., DenseCL (#218) * fig bug for prefetch_loader under multi-view setting * fix lint problem Co-authored-by: liming <liming.ai@bytedance.com> * [Feature]: MAE official (#221) * [Feature]: MAE single image pre-training * [Fix]: Fix config * [Fix]: Fix dataset link * [Feature]: Add run * [Refactor]: Delete spot * [Feature]: ignore nohup output file * [Feature]: Add auto script to generate run cmd * [Refactor]: Refactor mae config file * [Feature]: sz20 settings * [Feature]: Add auto resume * [Fix]: Fix lint * [Feature]: Make git ignore txt * [Refactor]: Delete gpus in script * [Fix]: Make generate_cmd to add --async * [Feature]: Initial version of Vit fine-tune * [Fix]: Add 1424 specific settings * [Fix]: Fix missing file client bug for 1424 * [Feature]: 1424 customized settings * [Fix]: Make drop in eval to False * [Feature]: Change the finetune and pre-training settings * [Feature]: Add debug setting * [Refactor]: Refactor the model * [Feature]: Customized settings * [Feature]: Add A100 settings * [Fix]: Change mae to imagenet * [Feature]: Change mae pretrain num workers to 32 * [Feature]: Change num workers to 16 * [Feature]: Add A100 setting for pre_release ft version * [Feature]: Add img_norm_cfg * [Fix]: Fix mae cls test missing logits bug * [Fix]: Fix mae cls head bias initialize to zero * [Feature]: Rename mae config name * [Feature]: Add MAE README.md * [Fix]: Fix lint * [Feature]: Fix typo * [Fix]: Fix typo * [Feature]: Fix invalid link * [Fix]: Fix finetune config file name * [Feature]: Official pretrain v1 * [Feature]: Change log interval to 100 * [Feature]: pretrain 1600 epochs * [Fix]: Change encoder num head to 12 * [Feature]: Mix precision * [Feature]: Add default value to random masking * [Feature]: Official MAE finetune * [Feature]: Finetune img per gpu 32 * [Feature]: Add multi machine training for lincls * [Fix]: Fix lincls master port master addr * [Feature]: Change img per gpu to 128 * [Feature]: Add linear eval and Refactor * [Fix]: Fix debug mode * [Fix]: Delete MAE dataset in __init__.py * [Feature]: normalize pixel for mae * [Fix]: Fix lint * [Feature]: LARS for linear eval * [Feature]: Add lars for mae linear eval * [Feature]: Change mae linear lars num workers to 32 * [Feature]: Change mae linear lars num workers to 8 * [Feature]: log every 25 iter for mae linear eval lars * [Feature]: Add 1600 epoch and 800 epoch pretraining * [Fix]: Change linear eval to 902 * [Fix]: Add random flip to linear eval * [Fix]: delete fp16 in mae * [Refactor]: Change backbone to mmcls * [Fix]: Align finetune settings * [Fix]: replace timm trunc_normal with mmcv trunc_normal * [Fix]: Change finetune layer_decay to 0.65 * [Fix]: Delete pretrain last norm when global_pooling * [Fix]: set requires_grad of norm1 to False * [Fix]: delete norm1 * [Fix]: Fix docstring bug * [Fix]: Fix lint * [Fix]: Add external link * [Fix]: Delete auto_resume and reformat config readme. * [Fix]: Fix pytest bug * [Fix]: Fix lint * [Refactor]: Rename filename * [Feature]: Add docstring * [Fix]: Rename config file name * [Fix]: Fix name inconsistency bug * [Fix]: Change the default value of persistent_worker in builder to True * [Fix]: Change the default value of CPUS_PER_TASK to 5 * [Fix]: Add a blank line to line136 in tools/train.py * [Fix]: Fix MAE algorithm docstring format and add paper name and url * [Feature]: Add MAE paper name and link, and store mae teaser on github * [Refactor]: Delete mae.png * [Fix]: Fix config file name” * [Fix]: Fix name bug * [Refactor]: Change default GPUS to 8 * [Fix]: Abandon change to drop_last * [Fix]: Fix docstring in mae algorithm * [Fix]: Fix lint * [Fix]: Fix lint * [Fix]: Fix mae finetune algo type bug * [Feature]: Add unit test for algorithm * [Feature]: Add unit test for remaining parts * [Fix]: Fix lint * [Fix]: Fix typo * [Fix]: Delete some unnecessary modification in gitignore * [Feature]: Change finetune setting in mae algo to mixup setting * [Fix]: Change norm_pix_loss to norm_pix in pretrain head * [Fix]: Delete modification in dist_train_linear.sh * [Refactor]: Delete global pool in mae_cls_vit.py * [Fix]: Change finetune param to mixup in test_mae_classification * [Fix]: Change norm_pix_loss to norm_pix of mae_pretrain_head in unit test * [Fix]: Change norm_pix_loss to norm_pix in unit test * [Refactor]: Create init_weights for mae_finetune_head and mae_linprobe_head * [Refactor]: Construct 2d sin-cosine position embedding using torch * [Refactor]: Using classification and using mixup from mmcls * [Fix]: Fix lint * [Fix]: Add False to finetune mae linprobe‘ “ * [Fix]: Set drop_last to False * [Fix]: Fix MAE finetune layerwise lr bug * [Refactor]: Delete redundant MAE when registering MAE * [Refactor]: Split initialize_weights in MAE to submodules * [Fix]: Change the min_lr of mae pretrain to 0.0 * [Refactor]: Delete unused _init_weights in mae_cls_vit * [Refactor]: Change MAE cls vit to a more general name * [Feature]: Add Epoch Fix cosine annealing lr updater * [Fix]: Fix lint * [Feature]: Add layer wise lr decay in optimizer constructor * [Fix]: Fix lint * [Fix]: Fix set layer wise lr decay bug * [Fix]: Fix UT for MAE * [Fix]: Fix lint * [Fix]: update algorithm readme format for MAE * [Fix]: Fix isort * [Fix]: Add Returns inmae_pretrain_vit * [Fix]: Change bgr to rgb * [Fix]: Change norm pix to True * [Fix]: Use cls_token to linear prob * [Fix]: Delete mixup.py * [Fix]: Fix MAE readme * [Feature]: Delete linprobe * [Refactor]: Merge MAE head into one file * [Fix]: Fix lint * [Fix]: rename mae_pretrain_head to mae_head * [Fix]: Fix import error in __init__.py * [Feature]: skip MAE algo UT when running on windows * [Fix]: Fix UT bug * [Feature]: Update model_zoo * [Fix]: Rename MAE pretrain model name * [Fix]: Delete mae ft prefix * [Feature]: Change b to base * [Refactor]: Change b in MAE pt config to base * [Fix]: Fix typo in docstring * [Fix]: Fix name bug * [Feature]: Add new constructor for MAE finetune * [Fix]: Fix model_zoo link * [Fix]: Skip UT for MAE * [Fix]: Change fixed channel order to param Co-authored-by: LIU Yuan <liuyuuan@pjlab.org.cn> Co-authored-by: liu yuan <liuyuan@pjlab.org.cn> * [Feature]: Add diff seeds to diff ranks and set torch seed in worker_init_fn (#228) * [Feature]: Add set diff seeds to diff ranks * [Fix]: Set diff seed to diff workers * Bump version to v0.7.0 (#227) * Bump version to v0.7.0 * [Docs] update readme Co-authored-by: wang11wang <95845452+wang11wang@users.noreply.github.com> Co-authored-by: Liangyu Chen <45140242+c-liangyu@users.noreply.github.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: liming <liming.ai@bytedance.com> Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: LIU Yuan <liuyuuan@pjlab.org.cn> Co-authored-by: liu yuan <liuyuan@pjlab.org.cn>
2022-03-04 13:43:49 +08:00
faiss-gpu==1.6.1
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