├── README.md ├── assets └── repo_figures │ ├── Picture1.png │ ├── Picture2.png │ ├── Picture3.png │ ├── Picture4.png │ ├── Picture5.png │ ├── Picture6.png │ ├── Picture7.png │ └── Picture8.png ├── environment.yml ├── environment_ft.yml ├── eval ├── configs │ ├── _base_ │ │ ├── custom_imports.py │ │ ├── datasets │ │ │ └── imagenet_sda.py │ │ └── default_runtime.py │ └── ensemble │ │ ├── convnextB.py │ │ ├── convnextT.py │ │ ├── resnet50.py │ │ ├── swinB.py │ │ └── swinT.py ├── evaluation.py ├── imagenet.py └── test_ensemble.py ├── image_align_DDA ├── guided_diffusion │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-310.pyc │ │ ├── __init__.cpython-311.pyc │ │ ├── __init__.cpython-38.pyc │ │ ├── dist_util.cpython-310.pyc │ │ ├── dist_util.cpython-311.pyc │ │ ├── dist_util.cpython-38.pyc │ │ ├── fp16_util.cpython-310.pyc │ │ ├── fp16_util.cpython-311.pyc │ │ ├── fp16_util.cpython-38.pyc │ │ ├── gaussian_diffusion.cpython-310.pyc │ │ ├── gaussian_diffusion.cpython-311.pyc │ │ ├── gaussian_diffusion.cpython-38.pyc │ │ ├── image_datasets.cpython-310.pyc │ │ ├── image_datasets.cpython-311.pyc │ │ ├── image_datasets.cpython-38.pyc │ │ ├── logger.cpython-310.pyc │ │ ├── logger.cpython-311.pyc │ │ ├── logger.cpython-38.pyc │ │ ├── losses.cpython-310.pyc │ │ ├── losses.cpython-311.pyc │ │ ├── losses.cpython-38.pyc │ │ ├── nn.cpython-310.pyc │ │ ├── nn.cpython-311.pyc │ │ ├── nn.cpython-38.pyc │ │ ├── respace.cpython-310.pyc │ │ ├── respace.cpython-311.pyc │ │ ├── respace.cpython-38.pyc │ │ ├── script_util.cpython-310.pyc │ │ ├── script_util.cpython-311.pyc │ │ ├── script_util.cpython-38.pyc │ │ ├── unet.cpython-310.pyc │ │ ├── unet.cpython-311.pyc │ │ └── unet.cpython-38.pyc │ ├── dist_util.py │ ├── fp16_util.py │ ├── gaussian_diffusion.py │ ├── image_datasets.py │ ├── logger.py │ ├── losses.py │ ├── nn.py │ ├── resample.py │ ├── respace.py │ ├── script_util.py │ ├── train_util.py │ └── unet.py ├── imagenet.py ├── interp_methods.py ├── resize_right.py ├── scripts │ ├── ilvr_sample.py │ └── image_sample.py └── setup.py ├── image_gen_DiT ├── diffusion │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-310.pyc │ │ ├── __init__.cpython-311.pyc │ │ ├── __init__.cpython-38.pyc │ │ ├── diffusion_utils.cpython-310.pyc │ │ ├── diffusion_utils.cpython-311.pyc │ │ ├── diffusion_utils.cpython-38.pyc │ │ ├── gaussian_diffusion.cpython-310.pyc │ │ ├── gaussian_diffusion.cpython-311.pyc │ │ ├── gaussian_diffusion.cpython-38.pyc │ │ ├── respace.cpython-310.pyc │ │ ├── respace.cpython-311.pyc │ │ └── respace.cpython-38.pyc │ ├── diffusion_utils.py │ ├── gaussian_diffusion.py │ ├── respace.py │ └── timestep_sampler.py ├── download.py ├── models.py ├── sample_ddp.py └── train.py ├── mmpretrain ├── .circleci │ ├── config.yml │ ├── docker │ │ └── Dockerfile │ └── test.yml ├── .coveragerc ├── .dev_scripts │ ├── benchmark_regression │ │ ├── 1-benchmark_valid.py │ │ ├── 2-benchmark_test.py │ │ ├── 3-benchmark_train.py │ │ ├── 4-benchmark_speed.py │ │ ├── bench_test.yml │ │ ├── bench_train.yml │ │ └── utils.py │ ├── check_metafile.py │ ├── ckpt_tree.py │ ├── compare_init.py │ ├── fill_metafile.py │ └── generate_readme.py ├── .gitattributes ├── .github │ ├── ISSUE_TEMPLATE │ │ ├── 1_bug-report.yml │ │ ├── 2_feature-request.yml │ │ ├── 3_bug-report_zh.yml │ │ ├── 4_feature-request_zh.yml │ │ └── config.yml │ ├── pull_request_template.md │ └── workflows │ │ ├── lint.yml │ │ ├── pr_stage_test.yml │ │ ├── publish-to-pypi.yml │ │ └── test_mim.yml ├── .gitignore ├── .pre-commit-config.yaml ├── .readthedocs.yml ├── MANIFEST.in ├── configs │ ├── _SDAconfigs │ │ ├── ConvNeXtB.py │ │ ├── ConvNeXtT.py │ │ ├── ResNet50.py │ │ ├── SwinB.py │ │ └── SwinT.py │ ├── _base_ │ │ ├── datasets │ │ │ ├── cifar100_bs16.py │ │ │ ├── cifar10_bs16.py │ │ │ ├── coco_caption.py │ │ │ ├── coco_okvqa.py │ │ │ ├── coco_retrieval.py │ │ │ ├── coco_vg_vqa.py │ │ │ ├── coco_vqa.py │ │ │ ├── cub_bs8_384.py │ │ │ ├── cub_bs8_448.py │ │ │ ├── flickr30k_caption.py │ │ │ ├── flickr30k_retrieval.py │ │ │ ├── gqa.py │ │ │ ├── imagenet21k_bs128.py │ │ │ ├── imagenet_bs128_mbv3.py │ │ │ ├── imagenet_bs128_poolformer_medium_224.py │ │ │ ├── imagenet_bs128_poolformer_small_224.py │ │ │ ├── imagenet_bs128_revvit_224.py │ │ │ ├── imagenet_bs128_riformer_medium_384.py │ │ │ ├── imagenet_bs128_riformer_small_384.py │ │ │ ├── imagenet_bs128_vig_224.py │ │ │ ├── imagenet_bs16_eva_196.py │ │ │ ├── imagenet_bs16_eva_336.py │ │ │ ├── imagenet_bs16_eva_448.py │ │ │ ├── imagenet_bs16_eva_560.py │ │ │ ├── imagenet_bs16_pil_bicubic_384.py │ │ │ ├── imagenet_bs256_beitv2.py │ │ │ ├── imagenet_bs256_davit_224.py │ │ │ ├── imagenet_bs256_itpn.py │ │ │ ├── imagenet_bs256_levit_224.py │ │ │ ├── imagenet_bs256_rsb_a12.py │ │ │ ├── imagenet_bs256_rsb_a3.py │ │ │ ├── imagenet_bs256_simmim_192.py │ │ │ ├── imagenet_bs256_swin_192.py │ │ │ ├── imagenet_bs32.py │ │ │ ├── imagenet_bs32_byol.py │ │ │ ├── imagenet_bs32_mocov2.py │ │ │ ├── imagenet_bs32_pil_bicubic.py │ │ │ ├── imagenet_bs32_pil_resize.py │ │ │ ├── imagenet_bs32_simclr.py │ │ │ ├── imagenet_bs512_mae.py │ │ │ ├── imagenet_bs512_mocov3.py │ │ │ ├── imagenet_bs64.py │ │ │ ├── imagenet_bs64_autoaug.py │ │ │ ├── imagenet_bs64_clip_224.py │ │ │ ├── imagenet_bs64_clip_384.py │ │ │ ├── imagenet_bs64_clip_448.py │ │ │ ├── imagenet_bs64_convmixer_224.py │ │ │ ├── imagenet_bs64_deit3_224.py │ │ │ ├── imagenet_bs64_deit3_384.py │ │ │ ├── imagenet_bs64_edgenext_256.py │ │ │ ├── imagenet_bs64_hivit_224.py │ │ │ ├── imagenet_bs64_mixer_224.py │ │ │ ├── imagenet_bs64_pil_resize.py │ │ │ ├── imagenet_bs64_pil_resize_autoaug.py │ │ │ ├── imagenet_bs64_swin_224.py │ │ │ ├── imagenet_bs64_swin_256.py │ │ │ ├── imagenet_bs64_swin_384.py │ │ │ ├── imagenet_bs64_t2t_224.py │ │ │ ├── imagenet_bs8_pil_bicubic_320.py │ │ │ ├── inshop_bs32_448.py │ │ │ ├── nlvr2.py │ │ │ ├── nocaps.py │ │ │ ├── ocrvqa.py │ │ │ ├── pipelines │ │ │ │ ├── auto_aug.py │ │ │ │ └── rand_aug.py │ │ │ ├── refcoco.py │ │ │ ├── vizwiz.py │ │ │ ├── voc_bs16.py │ │ │ └── vsr.py │ │ ├── default_runtime.py │ │ ├── models │ │ │ ├── conformer │ │ │ │ ├── base-p16.py │ │ │ │ ├── small-p16.py │ │ │ │ ├── small-p32.py │ │ │ │ └── tiny-p16.py │ │ │ ├── convmixer │ │ │ │ ├── convmixer-1024-20.py │ │ │ │ ├── convmixer-1536-20.py │ │ │ │ └── convmixer-768-32.py │ │ │ ├── convnext │ │ │ │ ├── convnext-base.py │ │ │ │ ├── convnext-large.py │ │ │ │ ├── convnext-small.py │ │ │ │ ├── convnext-tiny.py │ │ │ │ └── convnext-xlarge.py │ │ │ ├── convnext_v2 │ │ │ │ ├── atto.py │ │ │ │ ├── base.py │ │ │ │ ├── femto.py │ │ │ │ ├── huge.py │ │ │ │ ├── large.py │ │ │ │ ├── nano.py │ │ │ │ ├── pico.py │ │ │ │ └── tiny.py │ │ │ ├── davit │ │ │ │ ├── davit-base.py │ │ │ │ ├── davit-small.py │ │ │ │ └── davit-tiny.py │ │ │ ├── deit3 │ │ │ │ ├── deit3-base-p16-224.py │ │ │ │ ├── deit3-base-p16-384.py │ │ │ │ ├── deit3-huge-p14-224.py │ │ │ │ ├── deit3-large-p16-224.py │ │ │ │ ├── deit3-large-p16-384.py │ │ │ │ ├── deit3-medium-p16-224.py │ │ │ │ ├── deit3-small-p16-224.py │ │ │ │ └── deit3-small-p16-384.py │ │ │ ├── densenet │ │ │ │ ├── densenet121.py │ │ │ │ ├── densenet161.py │ │ │ │ ├── densenet169.py │ │ │ │ └── densenet201.py │ │ │ ├── edgenext │ │ │ │ ├── edgenext-base.py │ │ │ │ ├── edgenext-small.py │ │ │ │ ├── edgenext-xsmall.py │ │ │ │ └── edgenext-xxsmall.py │ │ │ ├── efficientformer-l1.py │ │ │ ├── efficientnet_b0.py │ │ │ ├── efficientnet_b1.py │ │ │ ├── efficientnet_b2.py │ │ │ ├── efficientnet_b3.py │ │ │ ├── efficientnet_b4.py │ │ │ ├── efficientnet_b5.py │ │ │ ├── efficientnet_b6.py │ │ │ ├── efficientnet_b7.py │ │ │ ├── efficientnet_b8.py │ │ │ ├── efficientnet_em.py │ │ │ ├── efficientnet_es.py │ │ │ ├── efficientnet_l2.py │ │ │ ├── efficientnet_v2 │ │ │ │ ├── efficientnetv2_b0.py │ │ │ │ ├── efficientnetv2_b1.py │ │ │ │ ├── efficientnetv2_b2.py │ │ │ │ ├── efficientnetv2_b3.py │ │ │ │ ├── efficientnetv2_l.py │ │ │ │ ├── efficientnetv2_m.py │ │ │ │ ├── efficientnetv2_s.py │ │ │ │ └── efficientnetv2_xl.py │ │ │ ├── eva │ │ │ │ ├── eva-g.py │ │ │ │ └── eva-l.py │ │ │ ├── hivit │ │ │ │ ├── base_224.py │ │ │ │ ├── small_224.py │ │ │ │ └── tiny_224.py │ │ │ ├── hornet │ │ │ │ ├── hornet-base-gf.py │ │ │ │ ├── hornet-base.py │ │ │ │ ├── hornet-large-gf.py │ │ │ │ ├── hornet-large-gf384.py │ │ │ │ ├── hornet-large.py │ │ │ │ ├── hornet-small-gf.py │ │ │ │ ├── hornet-small.py │ │ │ │ ├── hornet-tiny-gf.py │ │ │ │ └── hornet-tiny.py │ │ │ ├── hrnet │ │ │ │ ├── hrnet-w18.py │ │ │ │ ├── hrnet-w30.py │ │ │ │ ├── hrnet-w32.py │ │ │ │ ├── hrnet-w40.py │ │ │ │ ├── hrnet-w44.py │ │ │ │ ├── hrnet-w48.py │ │ │ │ └── hrnet-w64.py │ │ │ ├── inception_v3.py │ │ │ ├── itpn_hivit-base-p16.py │ │ │ ├── levit-256-p16.py │ │ │ ├── mae_hivit-base-p16.py │ │ │ ├── mae_vit-base-p16.py │ │ │ ├── mixmim │ │ │ │ └── mixmim_base.py │ │ │ ├── mlp_mixer_base_patch16.py │ │ │ ├── mlp_mixer_large_patch16.py │ │ │ ├── mobilenet_v2_1x.py │ │ │ ├── mobilenet_v3 │ │ │ │ ├── mobilenet_v3_large_imagenet.py │ │ │ │ ├── mobilenet_v3_small_050_imagenet.py │ │ │ │ ├── mobilenet_v3_small_075_imagenet.py │ │ │ │ ├── mobilenet_v3_small_cifar.py │ │ │ │ └── mobilenet_v3_small_imagenet.py │ │ │ ├── mobileone │ │ │ │ ├── mobileone_s0.py │ │ │ │ ├── mobileone_s1.py │ │ │ │ ├── mobileone_s2.py │ │ │ │ ├── mobileone_s3.py │ │ │ │ └── mobileone_s4.py │ │ │ ├── mobilevit │ │ │ │ ├── mobilevit_s.py │ │ │ │ ├── mobilevit_xs.py │ │ │ │ └── mobilevit_xxs.py │ │ │ ├── mvit │ │ │ │ ├── mvitv2-base.py │ │ │ │ ├── mvitv2-large.py │ │ │ │ ├── mvitv2-small.py │ │ │ │ └── mvitv2-tiny.py │ │ │ ├── poolformer │ │ │ │ ├── poolformer_m36.py │ │ │ │ ├── poolformer_m48.py │ │ │ │ ├── poolformer_s12.py │ │ │ │ ├── poolformer_s24.py │ │ │ │ └── poolformer_s36.py │ │ │ ├── regnet │ │ │ │ ├── regnetx_1.6gf.py │ │ │ │ ├── regnetx_12gf.py │ │ │ │ ├── regnetx_3.2gf.py │ │ │ │ ├── regnetx_4.0gf.py │ │ │ │ ├── regnetx_400mf.py │ │ │ │ ├── regnetx_6.4gf.py │ │ │ │ ├── regnetx_8.0gf.py │ │ │ │ └── regnetx_800mf.py │ │ │ ├── replknet-31B_in1k.py │ │ │ ├── replknet-31L_in1k.py │ │ │ ├── replknet-XL_in1k.py │ │ │ ├── repmlp-base_224.py │ │ │ ├── repvgg-A0_in1k.py │ │ │ ├── repvgg-B3_lbs-mixup_in1k.py │ │ │ ├── res2net101-w26-s4.py │ │ │ ├── res2net50-w14-s8.py │ │ │ ├── res2net50-w26-s4.py │ │ │ ├── res2net50-w26-s6.py │ │ │ ├── res2net50-w26-s8.py │ │ │ ├── res2net50-w48-s2.py │ │ │ ├── resnest101.py │ │ │ ├── resnest200.py │ │ │ ├── resnest269.py │ │ │ ├── resnest50.py │ │ │ ├── resnet101.py │ │ │ ├── resnet101_cifar.py │ │ │ ├── resnet152.py │ │ │ ├── resnet152_cifar.py │ │ │ ├── resnet18.py │ │ │ ├── resnet18_cifar.py │ │ │ ├── resnet34.py │ │ │ ├── resnet34_cifar.py │ │ │ ├── resnet34_gem.py │ │ │ ├── resnet50.py │ │ │ ├── resnet50_cifar.py │ │ │ ├── resnet50_cifar_cutmix.py │ │ │ ├── resnet50_cifar_mixup.py │ │ │ ├── resnet50_cutmix.py │ │ │ ├── resnet50_label_smooth.py │ │ │ ├── resnet50_mixup.py │ │ │ ├── resnetv1c50.py │ │ │ ├── resnetv1d101.py │ │ │ ├── resnetv1d152.py │ │ │ ├── resnetv1d50.py │ │ │ ├── resnext101_32x4d.py │ │ │ ├── resnext101_32x8d.py │ │ │ ├── resnext152_32x4d.py │ │ │ ├── resnext50_32x4d.py │ │ │ ├── revvit │ │ │ │ ├── revvit-base.py │ │ │ │ └── revvit-small.py │ │ │ ├── seresnet101.py │ │ │ ├── seresnet50.py │ │ │ ├── seresnext101_32x4d.py │ │ │ ├── seresnext50_32x4d.py │ │ │ ├── shufflenet_v1_1x.py │ │ │ ├── shufflenet_v2_1x.py │ │ │ ├── swin_transformer │ │ │ │ ├── base_224.py │ │ │ │ ├── base_384.py │ │ │ │ ├── large_224.py │ │ │ │ ├── large_384.py │ │ │ │ ├── small_224.py │ │ │ │ └── tiny_224.py │ │ │ ├── swin_transformer_v2 │ │ │ │ ├── base_256.py │ │ │ │ ├── base_384.py │ │ │ │ ├── large_256.py │ │ │ │ ├── large_384.py │ │ │ │ ├── small_256.py │ │ │ │ └── tiny_256.py │ │ │ ├── t2t-vit-t-14.py │ │ │ ├── t2t-vit-t-19.py │ │ │ ├── t2t-vit-t-24.py │ │ │ ├── tinyvit │ │ │ │ ├── tinyvit-11m.py │ │ │ │ ├── tinyvit-21m.py │ │ │ │ └── tinyvit-5m.py │ │ │ ├── tnt_s_patch16_224.py │ │ │ ├── twins_pcpvt_base.py │ │ │ ├── twins_svt_base.py │ │ │ ├── van │ │ │ │ ├── van_base.py │ │ │ │ ├── van_large.py │ │ │ │ ├── van_small.py │ │ │ │ └── van_tiny.py │ │ │ ├── vgg11.py │ │ │ ├── vgg11bn.py │ │ │ ├── vgg13.py │ │ │ ├── vgg13bn.py │ │ │ ├── vgg16.py │ │ │ ├── vgg16bn.py │ │ │ ├── vgg19.py │ │ │ ├── vgg19bn.py │ │ │ ├── vig │ │ │ │ ├── pyramid_vig_base.py │ │ │ │ ├── pyramid_vig_medium.py │ │ │ │ ├── pyramid_vig_small.py │ │ │ │ ├── pyramid_vig_tiny.py │ │ │ │ ├── vig_base.py │ │ │ │ ├── vig_small.py │ │ │ │ └── vig_tiny.py │ │ │ ├── vit-base-p16.py │ │ │ ├── vit-base-p32.py │ │ │ ├── vit-large-p16.py │ │ │ ├── vit-large-p32.py │ │ │ └── wide-resnet50.py │ │ └── schedules │ │ │ ├── cifar10_bs128.py │ │ │ ├── cub_bs64.py │ │ │ ├── imagenet_bs1024_adamw_conformer.py │ │ │ ├── imagenet_bs1024_adamw_hivit.py │ │ │ ├── imagenet_bs1024_adamw_revvit.py │ │ │ ├── imagenet_bs1024_adamw_swin.py │ │ │ ├── imagenet_bs1024_coslr.py │ │ │ ├── imagenet_bs1024_linearlr_bn_nowd.py │ │ │ ├── imagenet_bs2048.py │ │ │ ├── imagenet_bs2048_AdamW.py │ │ │ ├── imagenet_bs2048_adamw_levit.py │ │ │ ├── imagenet_bs2048_coslr.py │ │ │ ├── imagenet_bs2048_rsb.py │ │ │ ├── imagenet_bs256.py │ │ │ ├── imagenet_bs256_140e.py │ │ │ ├── imagenet_bs256_200e_coslr_warmup.py │ │ │ ├── imagenet_bs256_coslr.py │ │ │ ├── imagenet_bs256_coslr_coswd_300e.py │ │ │ ├── imagenet_bs256_epochstep.py │ │ │ ├── imagenet_bs4096_AdamW.py │ │ │ ├── imagenet_lars_coslr_200e.py │ │ │ ├── imagenet_lars_coslr_90e.py │ │ │ ├── imagenet_sgd_coslr_100e.py │ │ │ ├── imagenet_sgd_coslr_200e.py │ │ │ └── imagenet_sgd_steplr_100e.py │ ├── arcface │ │ ├── README.md │ │ ├── metafile.yml │ │ └── resnet50-arcface_8xb32_inshop.py │ ├── barlowtwins │ │ ├── README.md │ │ ├── barlowtwins_resnet50_8xb256-coslr-1000e_in1k.py │ │ ├── barlowtwins_resnet50_8xb256-coslr-300e_in1k.py │ │ ├── benchmarks │ │ │ └── resnet50_8xb32-linear-coslr-100e_in1k.py │ │ └── metafile.yml │ ├── beit │ │ ├── README.md │ │ ├── beit_beit-base-p16_8xb256-amp-coslr-300e_in1k.py │ │ ├── benchmarks │ │ │ ├── beit-base-p16_8xb128-coslr-100e_in1k.py │ │ │ └── beit-base-p16_8xb64_in1k.py │ │ └── metafile.yml │ ├── beitv2 │ │ ├── README.md │ │ ├── beitv2_beit-base-p16_8xb256-amp-coslr-1600e_in1k.py │ │ ├── beitv2_beit-base-p16_8xb256-amp-coslr-300e_in1k.py │ │ ├── benchmarks │ │ │ ├── beit-base-p16_8xb128-coslr-100e_in1k.py │ │ │ └── beit-base-p16_8xb64_in1k.py │ │ └── metafile.yml │ ├── blip │ │ ├── README.md │ │ ├── blip-base_8xb16_refcoco.py │ │ ├── blip-base_8xb32_caption.py │ │ ├── blip-base_8xb32_caption_flickr30k.py │ │ ├── blip-base_8xb32_nlvr.py │ │ ├── blip-base_8xb32_nocaps.py │ │ ├── blip-base_8xb32_ocrvqa.py │ │ ├── blip-base_8xb32_okvqa.py │ │ ├── blip-base_8xb32_retrieval.py │ │ ├── blip-base_8xb32_retrieval_flickr30k.py │ │ ├── blip-base_8xb32_vqa.py │ │ └── metafile.yml │ ├── blip2 │ │ ├── README.md │ │ ├── blip2-opt2.7b_8xb16_gqa.py │ │ ├── blip2-opt2.7b_8xb16_vqa.py │ │ ├── blip2-opt2.7b_8xb32_caption.py │ │ ├── blip2_8xb32_retrieval.py │ │ └── metafile.yml │ ├── byol │ │ ├── README.md │ │ ├── benchmarks │ │ │ ├── mask-rcnn_r50-c4_ms-1x_coco.py │ │ │ ├── mask-rcnn_r50_fpn_ms-1x_coco.py │ │ │ └── resnet50_8xb512-linear-coslr-90e_in1k.py │ │ ├── byol_resnet50_16xb256-coslr-200e_in1k.py │ │ └── metafile.yml │ ├── cae │ │ ├── README.md │ │ ├── benchmarks │ │ │ └── beit-base-p16_8xb128-coslr-100e_in1k.py │ │ ├── cae_beit-base-p16_8xb256-amp-coslr-300e_in1k.py │ │ └── metafile.yml │ ├── chinese_clip │ │ ├── README.md │ │ ├── cn-clip_resnet50_zeroshot-cls_cifar100.py │ │ ├── cn-clip_vit-base-p16_zeroshot-cls_cifar100.py │ │ ├── cn-clip_vit-huge-p14_zeroshot-cls_cifar100.py │ │ ├── cn-clip_vit-large-p14_zeroshot-cls_cifar100.py │ │ └── metafile.yml │ ├── clip │ │ ├── README.md │ │ ├── clip_vit-base-p16_zeroshot-cls_cifar100.py │ │ ├── clip_vit-base-p16_zeroshot-cls_in1k.py │ │ ├── clip_vit-large-p14_zeroshot-cls_cifar100.py │ │ ├── clip_vit-large-p14_zeroshot-cls_in1k.py │ │ ├── metafile.yml │ │ ├── vit-base-p16_pt-64xb64_in1k-384px.py │ │ ├── vit-base-p16_pt-64xb64_in1k-448px.py │ │ ├── vit-base-p16_pt-64xb64_in1k.py │ │ ├── vit-base-p32_pt-64xb64_in1k-384px.py │ │ ├── vit-base-p32_pt-64xb64_in1k-448px.py │ │ ├── vit-base-p32_pt-64xb64_in1k.py │ │ └── vit-large-p14_headless.py │ ├── conformer │ │ ├── README.md │ │ ├── conformer-base-p16_8xb128_in1k.py │ │ ├── conformer-small-p16_8xb128_in1k.py │ │ ├── conformer-small-p32_8xb128_in1k.py │ │ ├── conformer-tiny-p16_8xb128_in1k.py │ │ └── metafile.yml │ ├── convmixer │ │ ├── README.md │ │ ├── convmixer-1024-20_10xb64_in1k.py │ │ ├── convmixer-1536-20_10xb64_in1k.py │ │ ├── convmixer-768-32_10xb64_in1k.py │ │ └── metafile.yml │ ├── convnext │ │ ├── README.md │ │ ├── convnext-base_32xb128_in1k-384px.py │ │ ├── convnext-base_32xb128_in1k.py │ │ ├── convnext-base_32xb128_in21k.py │ │ ├── convnext-large_64xb64_in1k-384px.py │ │ ├── convnext-large_64xb64_in1k.py │ │ ├── convnext-large_64xb64_in21k.py │ │ ├── convnext-small_32xb128_in1k-384px.py │ │ ├── convnext-small_32xb128_in1k.py │ │ ├── convnext-tiny_32xb128_in1k-384px.py │ │ ├── convnext-tiny_32xb128_in1k.py │ │ ├── convnext-xlarge_64xb64_in1k-384px.py │ │ ├── convnext-xlarge_64xb64_in1k.py │ │ ├── convnext-xlarge_64xb64_in21k.py │ │ └── metafile.yml │ ├── convnext_v2 │ │ ├── README.md │ │ ├── convnext-v2-atto_32xb32_in1k.py │ │ ├── convnext-v2-base_32xb32_in1k-384px.py │ │ ├── convnext-v2-base_32xb32_in1k.py │ │ ├── convnext-v2-femto_32xb32_in1k.py │ │ ├── convnext-v2-huge_32xb32_in1k-384px.py │ │ ├── convnext-v2-huge_32xb32_in1k-512px.py │ │ ├── convnext-v2-huge_32xb32_in1k.py │ │ ├── convnext-v2-large_32xb32_in1k-384px.py │ │ ├── convnext-v2-large_32xb32_in1k.py │ │ ├── convnext-v2-nano_32xb32_in1k-384px.py │ │ ├── convnext-v2-nano_32xb32_in1k.py │ │ ├── convnext-v2-pico_32xb32_in1k.py │ │ ├── convnext-v2-tiny_32xb32_in1k-384px.py │ │ ├── convnext-v2-tiny_32xb32_in1k.py │ │ └── metafile.yml │ ├── cspnet │ │ ├── README.md │ │ ├── cspdarknet50_8xb32_in1k.py │ │ ├── cspresnet50_8xb32_in1k.py │ │ ├── cspresnext50_8xb32_in1k.py │ │ └── metafile.yml │ ├── csra │ │ ├── README.md │ │ ├── metafile.yml │ │ └── resnet101-csra_1xb16_voc07-448px.py │ ├── davit │ │ ├── README.md │ │ ├── davit-base_4xb256_in1k.py │ │ ├── davit-small_4xb256_in1k.py │ │ ├── davit-tiny_4xb256_in1k.py │ │ └── metafile.yml │ ├── deit │ │ ├── README.md │ │ ├── deit-base-distilled_16xb32_in1k-384px.py │ │ ├── deit-base-distilled_16xb64_in1k.py │ │ ├── deit-base_16xb32_in1k-384px.py │ │ ├── deit-base_16xb64_in1k.py │ │ ├── deit-small-distilled_4xb256_in1k.py │ │ ├── deit-small_4xb256_in1k.py │ │ ├── deit-tiny-distilled_4xb256_in1k.py │ │ ├── deit-tiny_4xb256_in1k.py │ │ └── metafile.yml │ ├── deit3 │ │ ├── README.md │ │ ├── deit3-base-p16_64xb32_in1k-384px.py │ │ ├── deit3-base-p16_64xb64_in1k.py │ │ ├── deit3-huge-p14_64xb32_in1k.py │ │ ├── deit3-large-p16_64xb16_in1k-384px.py │ │ ├── deit3-large-p16_64xb64_in1k.py │ │ ├── deit3-medium-p16_64xb64_in1k.py │ │ ├── deit3-small-p16_64xb64_in1k-384px.py │ │ ├── deit3-small-p16_64xb64_in1k.py │ │ └── metafile.yml │ ├── densecl │ │ ├── README.md │ │ ├── benchmarks │ │ │ └── resnet50_8xb32-linear-steplr-100e_in1k.py │ │ ├── densecl_resnet50_8xb32-coslr-200e_in1k.py │ │ └── metafile.yml │ ├── densenet │ │ ├── README.md │ │ ├── densenet121_4xb256_in1k.py │ │ ├── densenet161_4xb256_in1k.py │ │ ├── densenet169_4xb256_in1k.py │ │ ├── densenet201_4xb256_in1k.py │ │ └── metafile.yml │ ├── dinov2 │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── vit-base-p14_dinov2-pre_headless.py │ │ ├── vit-giant-p14_dinov2-pre_headless.py │ │ ├── vit-large-p14_dinov2-pre_headless.py │ │ └── vit-small-p14_dinov2-pre_headless.py │ ├── edgenext │ │ ├── README.md │ │ ├── edgenext-base_8xb256-usi_in1k.py │ │ ├── edgenext-base_8xb256_in1k.py │ │ ├── edgenext-small_8xb256-usi_in1k.py │ │ ├── edgenext-small_8xb256_in1k.py │ │ ├── edgenext-xsmall_8xb256_in1k.py │ │ ├── edgenext-xxsmall_8xb256_in1k.py │ │ └── metafile.yml │ ├── efficientformer │ │ ├── README.md │ │ ├── efficientformer-l1_8xb128_in1k.py │ │ ├── efficientformer-l3_8xb128_in1k.py │ │ ├── efficientformer-l7_8xb128_in1k.py │ │ └── metafile.yml │ ├── efficientnet │ │ ├── README.md │ │ ├── efficientnet-b0_8xb32-01norm_in1k.py │ │ ├── efficientnet-b0_8xb32_in1k.py │ │ ├── efficientnet-b1_8xb32-01norm_in1k.py │ │ ├── efficientnet-b1_8xb32_in1k.py │ │ ├── efficientnet-b2_8xb32-01norm_in1k.py │ │ ├── efficientnet-b2_8xb32_in1k.py │ │ ├── efficientnet-b3_8xb32-01norm_in1k.py │ │ ├── efficientnet-b3_8xb32_in1k.py │ │ ├── efficientnet-b4_8xb32-01norm_in1k.py │ │ ├── efficientnet-b4_8xb32_in1k.py │ │ ├── efficientnet-b5_8xb32-01norm_in1k.py │ │ ├── efficientnet-b5_8xb32_in1k.py │ │ ├── efficientnet-b6_8xb32-01norm_in1k.py │ │ ├── efficientnet-b6_8xb32_in1k.py │ │ ├── efficientnet-b7_8xb32-01norm_in1k.py │ │ ├── efficientnet-b7_8xb32_in1k.py │ │ ├── efficientnet-b8_8xb32-01norm_in1k.py │ │ ├── efficientnet-b8_8xb32_in1k.py │ │ ├── efficientnet-em_8xb32-01norm_in1k.py │ │ ├── efficientnet-es_8xb32-01norm_in1k.py │ │ ├── efficientnet-l2_8xb32_in1k-475px.py │ │ ├── efficientnet-l2_8xb8_in1k-800px.py │ │ └── metafile.yml │ ├── efficientnet_v2 │ │ ├── README.md │ │ ├── efficientnetv2-b0_8xb32_in1k.py │ │ ├── efficientnetv2-b1_8xb32_in1k.py │ │ ├── efficientnetv2-b2_8xb32_in1k.py │ │ ├── efficientnetv2-b3_8xb32_in1k.py │ │ ├── efficientnetv2-l_8xb32_in1k-480px.py │ │ ├── efficientnetv2-l_8xb32_in21k.py │ │ ├── efficientnetv2-m_8xb32_in1k-480px.py │ │ ├── efficientnetv2-m_8xb32_in21k.py │ │ ├── efficientnetv2-s_8xb32_in1k-384px.py │ │ ├── efficientnetv2-s_8xb32_in21k.py │ │ ├── efficientnetv2-xl_8xb32_in1k-512px.py │ │ ├── efficientnetv2-xl_8xb32_in21k.py │ │ └── metafile.yml │ ├── eva │ │ ├── README.md │ │ ├── benchmarks │ │ │ ├── vit-base-p16_8xb128-coslr-100e_in1k.py │ │ │ └── vit-base-p16_8xb2048-linear-coslr-100e_in1k.py │ │ ├── eva-g-p14_8xb16_in1k-336px.py │ │ ├── eva-g-p14_8xb16_in1k-560px.py │ │ ├── eva-g-p14_headless.py │ │ ├── eva-g-p16_headless.py │ │ ├── eva-l-p14_8xb16_in1k-196px.py │ │ ├── eva-l-p14_8xb16_in1k-336px.py │ │ ├── eva-l-p14_headless.py │ │ ├── eva-mae-style_vit-base-p16_16xb256-coslr-400e_in1k.py │ │ └── metafile.yml │ ├── eva02 │ │ ├── README.md │ │ ├── eva02-base-p14_headless.py │ │ ├── eva02-base-p14_in1k.py │ │ ├── eva02-large-p14_headless.py │ │ ├── eva02-large-p14_in1k.py │ │ ├── eva02-small-p14_headless.py │ │ ├── eva02-small-p14_in1k.py │ │ ├── eva02-tiny-p14_headless.py │ │ ├── eva02-tiny-p14_in1k.py │ │ └── metafile.yml │ ├── flamingo │ │ ├── README.md │ │ ├── flamingo_fewshot_caption.py │ │ ├── flamingo_fewshot_vqa.py │ │ ├── flamingo_zeroshot_caption.py │ │ ├── flamingo_zeroshot_vqa.py │ │ └── metafile.yml │ ├── glip │ │ ├── README.md │ │ ├── glip-l_headless.py │ │ ├── glip-t_headless.py │ │ └── metafile.yml │ ├── hivit │ │ ├── README.md │ │ ├── hivit-base-p16_16xb64_in1k.py │ │ ├── hivit-small-p16_16xb64_in1k.py │ │ ├── hivit-tiny-p16_16xb64_in1k.py │ │ └── metafile.yml │ ├── hornet │ │ ├── README.md │ │ ├── hornet-base-gf_8xb64_in1k.py │ │ ├── hornet-base_8xb64_in1k.py │ │ ├── hornet-small-gf_8xb64_in1k.py │ │ ├── hornet-small_8xb64_in1k.py │ │ ├── hornet-tiny-gf_8xb128_in1k.py │ │ ├── hornet-tiny_8xb128_in1k.py │ │ └── metafile.yml │ ├── hrnet │ │ ├── README.md │ │ ├── hrnet-w18_4xb32_in1k.py │ │ ├── hrnet-w30_4xb32_in1k.py │ │ ├── hrnet-w32_4xb32_in1k.py │ │ ├── hrnet-w40_4xb32_in1k.py │ │ ├── hrnet-w44_4xb32_in1k.py │ │ ├── hrnet-w48_4xb32_in1k.py │ │ ├── hrnet-w64_4xb32_in1k.py │ │ └── metafile.yml │ ├── inception_v3 │ │ ├── README.md │ │ ├── inception-v3_8xb32_in1k.py │ │ └── metafile.yml │ ├── itpn │ │ ├── README.md │ │ ├── itpn-clip-b_hivit-base-p16_8xb256-amp-coslr-300e_in1k.py │ │ ├── itpn-clip-b_hivit-base-p16_8xb256-amp-coslr-800e_in1k.py │ │ ├── itpn-pixel_hivit-base-p16_8xb512-amp-coslr-1600e_in1k.py │ │ ├── itpn-pixel_hivit-base-p16_8xb512-amp-coslr-400e_in1k.py │ │ ├── itpn-pixel_hivit-base-p16_8xb512-amp-coslr-800e_in1k.py │ │ ├── itpn-pixel_hivit-large-p16_8xb512-amp-coslr-1600e_in1k.py │ │ ├── itpn-pixel_hivit-large-p16_8xb512-amp-coslr-400e_in1k.py │ │ ├── itpn-pixel_hivit-large-p16_8xb512-amp-coslr-800e_in1k.py │ │ └── metafile.yml │ ├── lenet │ │ ├── README.md │ │ └── lenet5_mnist.py │ ├── levit │ │ ├── README.md │ │ ├── deploy │ │ │ ├── levit-128_8xb256_in1k.py │ │ │ ├── levit-128s_8xb256_in1k.py │ │ │ ├── levit-192_8xb256_in1k.py │ │ │ ├── levit-256_8xb256_in1k.py │ │ │ └── levit-384_8xb256_in1k.py │ │ ├── levit-128_8xb256_in1k.py │ │ ├── levit-128s_8xb256_in1k.py │ │ ├── levit-192_8xb256_in1k.py │ │ ├── levit-256_8xb256_in1k.py │ │ ├── levit-384_8xb256_in1k.py │ │ └── metafile.yml │ ├── llava │ │ ├── README.md │ │ ├── llava-7b-v1.5_caption.py │ │ ├── llava-7b-v1.5_vqa.py │ │ ├── llava-7b-v1_caption.py │ │ └── metafile.yml │ ├── mae │ │ ├── README.md │ │ ├── benchmarks │ │ │ ├── vit-base-p16_8xb128-coslr-100e_in1k.py │ │ │ ├── vit-base-p16_8xb2048-linear-coslr-90e_in1k.py │ │ │ ├── vit-huge-p14_32xb8-coslr-50e_in1k-448px.py │ │ │ ├── vit-huge-p14_8xb128-coslr-50e_in1k.py │ │ │ ├── vit-huge-p14_8xb128-ds-coslr-50e_in1k.py │ │ │ ├── vit-huge-p14_8xb128-fsdp-coslr-50e_in1k.py │ │ │ ├── vit-large-p16_8xb128-coslr-50e_in1k.py │ │ │ ├── vit-large-p16_8xb128-ds-coslr-50e_in1k.py │ │ │ ├── vit-large-p16_8xb128-fsdp-coslr-50e_in1k.py │ │ │ └── vit-large-p16_8xb2048-linear-coslr-90e_in1k.py │ │ ├── mae_hivit-base-p16_8xb512-amp-coslr-1600e_in1k.py │ │ ├── mae_hivit-base-p16_8xb512-amp-coslr-400e_in1k.py │ │ ├── mae_hivit-base-p16_8xb512-amp-coslr-800e_in1k.py │ │ ├── mae_hivit-large-p16_8xb512-amp-coslr-1600e_in1k.py │ │ ├── mae_hivit-large-p16_8xb512-amp-coslr-400e_in1k.py │ │ ├── mae_hivit-large-p16_8xb512-amp-coslr-800e_in1k.py │ │ ├── mae_vit-base-p16_8xb512-amp-coslr-1600e_in1k.py │ │ ├── mae_vit-base-p16_8xb512-amp-coslr-300e_in1k.py │ │ ├── mae_vit-base-p16_8xb512-amp-coslr-400e_in1k.py │ │ ├── mae_vit-base-p16_8xb512-amp-coslr-800e_in1k.py │ │ ├── mae_vit-huge-p14_8xb512-amp-coslr-1600e_in1k.py │ │ ├── mae_vit-large-p16_8xb512-amp-coslr-1600e_in1k.py │ │ ├── mae_vit-large-p16_8xb512-amp-coslr-300e_in1k.py │ │ ├── mae_vit-large-p16_8xb512-amp-coslr-400e_in1k.py │ │ ├── mae_vit-large-p16_8xb512-amp-coslr-800e_in1k.py │ │ └── metafile.yml │ ├── maskfeat │ │ ├── README.md │ │ ├── benchmarks │ │ │ └── vit-base-p16_8xb256-coslr-100e_in1k.py │ │ ├── maskfeat_vit-base-p16_8xb256-amp-coslr-300e_in1k.py │ │ └── metafile.yml │ ├── mff │ │ ├── README.md │ │ ├── benchmarks │ │ │ ├── vit-base-p16_8xb128-coslr-100e_in1k.py │ │ │ └── vit-base-p16_8xb2048-linear-coslr-90e_in1k.py │ │ ├── metafile.yml │ │ ├── mff_vit-base-p16_8xb512-amp-coslr-300e_in1k.py │ │ └── mff_vit-base-p16_8xb512-amp-coslr-800e_in1k.py │ ├── milan │ │ ├── README.md │ │ ├── benchmarks │ │ │ ├── vit-base-p16_8xb128-coslr-100e_in1k.py │ │ │ └── vit-base-p16_8xb2048-linear-coslr-100e_in1k.py │ │ ├── metafile.yml │ │ └── milan_vit-base-p16_16xb256-amp-coslr-400e_in1k.py │ ├── minigpt4 │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── minigpt-4_baichuan-7b_caption.py │ │ └── minigpt-4_vicuna-7b_caption.py │ ├── mixmim │ │ ├── README.md │ │ ├── benchmarks │ │ │ ├── mixmim-base_8xb128-coslr-100e_in1k.py │ │ │ └── mixmim-base_8xb64_in1k.py │ │ ├── metafile.yml │ │ └── mixmim_mixmim-base_16xb128-coslr-300e_in1k.py │ ├── mlp_mixer │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── mlp-mixer-base-p16_64xb64_in1k.py │ │ └── mlp-mixer-large-p16_64xb64_in1k.py │ ├── mobilenet_v2 │ │ ├── README.md │ │ ├── metafile.yml │ │ └── mobilenet-v2_8xb32_in1k.py │ ├── mobilenet_v3 │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── mobilenet-v3-large_8xb128_in1k.py │ │ ├── mobilenet-v3-small-050_8xb128_in1k.py │ │ ├── mobilenet-v3-small-075_8xb128_in1k.py │ │ ├── mobilenet-v3-small_8xb128_in1k.py │ │ └── mobilenet-v3-small_8xb16_cifar10.py │ ├── mobileone │ │ ├── README.md │ │ ├── deploy │ │ │ ├── mobileone-s0_deploy_8xb32_in1k.py │ │ │ ├── mobileone-s1_deploy_8xb32_in1k.py │ │ │ ├── mobileone-s2_deploy_8xb32_in1k.py │ │ │ ├── mobileone-s3_deploy_8xb32_in1k.py │ │ │ └── mobileone-s4_deploy_8xb32_in1k.py │ │ ├── metafile.yml │ │ ├── mobileone-s0_8xb32_in1k.py │ │ ├── mobileone-s1_8xb32_in1k.py │ │ ├── mobileone-s2_8xb32_in1k.py │ │ ├── mobileone-s3_8xb32_in1k.py │ │ └── mobileone-s4_8xb32_in1k.py │ ├── mobilevit │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── mobilevit-small_8xb128_in1k.py │ │ ├── mobilevit-xsmall_8xb128_in1k.py │ │ └── mobilevit-xxsmall_8xb128_in1k.py │ ├── mocov2 │ │ ├── README.md │ │ ├── benchmarks │ │ │ └── resnet50_8xb32-linear-steplr-100e_in1k.py │ │ ├── metafile.yml │ │ └── mocov2_resnet50_8xb32-coslr-200e_in1k.py │ ├── mocov3 │ │ ├── README.md │ │ ├── benchmarks │ │ │ ├── resnet50_8xb128-linear-coslr-90e_in1k.py │ │ │ ├── vit-base-p16_8xb128-linear-coslr-90e_in1k.py │ │ │ ├── vit-base-p16_8xb64-coslr-150e_in1k.py │ │ │ ├── vit-large-p16_8xb64-coslr-100e_in1k.py │ │ │ └── vit-small-p16_8xb128-linear-coslr-90e_in1k.py │ │ ├── metafile.yml │ │ ├── mocov3_resnet50_8xb512-amp-coslr-100e_in1k.py │ │ ├── mocov3_resnet50_8xb512-amp-coslr-300e_in1k.py │ │ ├── mocov3_resnet50_8xb512-amp-coslr-800e_in1k.py │ │ ├── mocov3_vit-base-p16_16xb256-amp-coslr-300e_in1k.py │ │ ├── mocov3_vit-large-p16_64xb64-amp-coslr-300e_in1k.py │ │ └── mocov3_vit-small-p16_16xb256-amp-coslr-300e_in1k.py │ ├── mvit │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── mvitv2-base_8xb256_in1k.py │ │ ├── mvitv2-large_8xb256_in1k.py │ │ ├── mvitv2-small_8xb256_in1k.py │ │ └── mvitv2-tiny_8xb256_in1k.py │ ├── ofa │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── ofa-base_finetuned_caption.py │ │ ├── ofa-base_finetuned_refcoco.py │ │ ├── ofa-base_finetuned_vqa.py │ │ ├── ofa-base_zeroshot_vqa.py │ │ └── ofa-large_zeroshot_vqa.py │ ├── otter │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── otter-9b_caption.py │ │ └── otter-9b_vqa.py │ ├── poolformer │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── poolformer-m36_32xb128_in1k.py │ │ ├── poolformer-m48_32xb128_in1k.py │ │ ├── poolformer-s12_32xb128_in1k.py │ │ ├── poolformer-s24_32xb128_in1k.py │ │ └── poolformer-s36_32xb128_in1k.py │ ├── regnet │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── regnetx-1.6gf_8xb128_in1k.py │ │ ├── regnetx-12gf_8xb64_in1k.py │ │ ├── regnetx-3.2gf_8xb64_in1k.py │ │ ├── regnetx-4.0gf_8xb64_in1k.py │ │ ├── regnetx-400mf_8xb128_in1k.py │ │ ├── regnetx-6.4gf_8xb64_in1k.py │ │ ├── regnetx-8.0gf_8xb64_in1k.py │ │ └── regnetx-800mf_8xb128_in1k.py │ ├── replknet │ │ ├── README.md │ │ ├── deploy │ │ │ ├── replknet-31B-deploy_32xb64_in1k-384px.py │ │ │ ├── replknet-31B-deploy_32xb64_in1k.py │ │ │ ├── replknet-31L-deploy_32xb64_in1k-384px.py │ │ │ └── replknet-XL-deploy_32xb64_in1k-320px.py │ │ ├── metafile.yml │ │ ├── replknet-31B_32xb64_in1k-384px.py │ │ ├── replknet-31B_32xb64_in1k.py │ │ ├── replknet-31L_32xb64_in1k-384px.py │ │ └── replknet-XL_32xb64_in1k-320px.py │ ├── repmlp │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── repmlp-base_8xb64_in1k-256px.py │ │ ├── repmlp-base_8xb64_in1k.py │ │ ├── repmlp-base_delopy_8xb64_in1k.py │ │ └── repmlp-base_deploy_8xb64_in1k-256px.py │ ├── repvgg │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── repvgg-A0_8xb32_in1k.py │ │ ├── repvgg-A0_deploy_in1k.py │ │ ├── repvgg-A1_8xb32_in1k.py │ │ ├── repvgg-A2_8xb32_in1k.py │ │ ├── repvgg-B0_8xb32_in1k.py │ │ ├── repvgg-B1_8xb32_in1k.py │ │ ├── repvgg-B1g2_8xb32_in1k.py │ │ ├── repvgg-B1g4_8xb32_in1k.py │ │ ├── repvgg-B2_8xb32_in1k.py │ │ ├── repvgg-B2g4_8xb32_in1k.py │ │ ├── repvgg-B3_8xb32_in1k.py │ │ ├── repvgg-B3g4_8xb32_in1k.py │ │ └── repvgg-D2se_8xb32_in1k.py │ ├── res2net │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── res2net101-w26-s4_8xb32_in1k.py │ │ ├── res2net50-w14-s8_8xb32_in1k.py │ │ └── res2net50-w26-s8_8xb32_in1k.py │ ├── resnest │ │ ├── README.md │ │ ├── _randaug_policies.py │ │ ├── resnest101_32xb64_in1k.py │ │ ├── resnest200_64xb32_in1k.py │ │ ├── resnest269_64xb32_in1k.py │ │ └── resnest50_32xb64_in1k.py │ ├── resnet │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── resnet101_8xb16_cifar10.py │ │ ├── resnet101_8xb32_in1k.py │ │ ├── resnet152_8xb16_cifar10.py │ │ ├── resnet152_8xb32_in1k.py │ │ ├── resnet18_8xb16_cifar10.py │ │ ├── resnet18_8xb32_in1k.py │ │ ├── resnet34_8xb16_cifar10.py │ │ ├── resnet34_8xb32_in1k.py │ │ ├── resnet50_32xb64-warmup-coslr_in1k.py │ │ ├── resnet50_32xb64-warmup-lbs_in1k.py │ │ ├── resnet50_32xb64-warmup_in1k.py │ │ ├── resnet50_8xb128_coslr-90e_in21k.py │ │ ├── resnet50_8xb16-mixup_cifar10.py │ │ ├── resnet50_8xb16_cifar10.py │ │ ├── resnet50_8xb16_cifar100.py │ │ ├── resnet50_8xb256-rsb-a1-600e_in1k.py │ │ ├── resnet50_8xb256-rsb-a2-300e_in1k.py │ │ ├── resnet50_8xb256-rsb-a3-100e_in1k.py │ │ ├── resnet50_8xb32-coslr-preciseBN_in1k.py │ │ ├── resnet50_8xb32-coslr_in1k.py │ │ ├── resnet50_8xb32-cutmix_in1k.py │ │ ├── resnet50_8xb32-fp16-dynamic_in1k.py │ │ ├── resnet50_8xb32-fp16_in1k.py │ │ ├── resnet50_8xb32-lbs_in1k.py │ │ ├── resnet50_8xb32-mixup_in1k.py │ │ ├── resnet50_8xb32_in1k.py │ │ ├── resnet50_8xb8_cub.py │ │ ├── resnetv1c101_8xb32_in1k.py │ │ ├── resnetv1c152_8xb32_in1k.py │ │ ├── resnetv1c50_8xb32_in1k.py │ │ ├── resnetv1d101_8xb32_in1k.py │ │ ├── resnetv1d152_8xb32_in1k.py │ │ └── resnetv1d50_8xb32_in1k.py │ ├── resnext │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── resnext101-32x4d_8xb32_in1k.py │ │ ├── resnext101-32x8d_8xb32_in1k.py │ │ ├── resnext152-32x4d_8xb32_in1k.py │ │ └── resnext50-32x4d_8xb32_in1k.py │ ├── revvit │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── revvit-base_8xb256_in1k.py │ │ └── revvit-small_8xb256_in1k.py │ ├── riformer │ │ ├── README.md │ │ ├── deploy │ │ │ ├── riformer-m36-deploy_8xb128_in1k.py │ │ │ ├── riformer-m36-deploy_8xb64_in1k-384px.py │ │ │ ├── riformer-m48-deploy_8xb64_in1k-384px.py │ │ │ ├── riformer-m48-deploy_8xb64_in1k.py │ │ │ ├── riformer-s12-deploy_8xb128_in1k-384px.py │ │ │ ├── riformer-s12-deploy_8xb128_in1k.py │ │ │ ├── riformer-s24-deploy_8xb128_in1k-384px.py │ │ │ ├── riformer-s24-deploy_8xb128_in1k.py │ │ │ ├── riformer-s36-deploy_8xb128_in1k.py │ │ │ └── riformer-s36-deploy_8xb64_in1k-384px.py │ │ ├── metafile.yml │ │ ├── riformer-m36_8xb128_in1k.py │ │ ├── riformer-m36_8xb64_in1k-384px.py │ │ ├── riformer-m48_8xb64_in1k-384px.py │ │ ├── riformer-m48_8xb64_in1k.py │ │ ├── riformer-s12_8xb128_in1k-384px.py │ │ ├── riformer-s12_8xb128_in1k.py │ │ ├── riformer-s24_8xb128_in1k-384px.py │ │ ├── riformer-s24_8xb128_in1k.py │ │ ├── riformer-s36_8xb128_in1k.py │ │ └── riformer-s36_8xb64_in1k-384px.py │ ├── sam │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── vit-base-p16_sam_headless.py │ │ ├── vit-huge-p16_sam_headless.py │ │ └── vit-large-p16_sam_headless.py │ ├── seresnet │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── seresnet101_8xb32_in1k.py │ │ ├── seresnet50_8xb32_in1k.py │ │ ├── seresnext101-32x4d_8xb32_in1k.py │ │ └── seresnext50-32x4d_8xb32_in1k.py │ ├── shufflenet_v1 │ │ ├── README.md │ │ ├── metafile.yml │ │ └── shufflenet-v1-1x_16xb64_in1k.py │ ├── shufflenet_v2 │ │ ├── README.md │ │ ├── metafile.yml │ │ └── shufflenet-v2-1x_16xb64_in1k.py │ ├── simclr │ │ ├── README.md │ │ ├── benchmarks │ │ │ └── resnet50_8xb512-linear-coslr-90e_in1k.py │ │ ├── metafile.yml │ │ ├── simclr_resnet50_16xb256-coslr-200e_in1k.py │ │ ├── simclr_resnet50_16xb256-coslr-800e_in1k.py │ │ └── simclr_resnet50_8xb32-coslr-200e_in1k.py │ ├── simmim │ │ ├── README.md │ │ ├── benchmarks │ │ │ ├── swin-base-w6_8xb256-coslr-100e_in1k-192px.py │ │ │ ├── swin-base-w7_8xb256-coslr-100e_in1k.py │ │ │ └── swin-large-w14_8xb256-coslr-100e_in1k.py │ │ ├── metafile.yml │ │ ├── simmim_swin-base-w6_16xb128-amp-coslr-100e_in1k-192px.py │ │ ├── simmim_swin-base-w6_16xb128-amp-coslr-800e_in1k-192px.py │ │ ├── simmim_swin-base-w6_8xb256-amp-coslr-100e_in1k-192px.py │ │ └── simmim_swin-large-w12_16xb128-amp-coslr-800e_in1k-192px.py │ ├── simsiam │ │ ├── README.md │ │ ├── benchmarks │ │ │ └── resnet50_8xb512-linear-coslr-90e_in1k.py │ │ ├── metafile.yml │ │ ├── simsiam_resnet50_8xb32-coslr-100e_in1k.py │ │ └── simsiam_resnet50_8xb32-coslr-200e_in1k.py │ ├── spark │ │ ├── README.md │ │ ├── benchmarks │ │ │ ├── convnextv2-tiny_8xb256-coslr-300e_in1k.py │ │ │ └── resnet50_8xb256-coslr-300e_in1k.py │ │ ├── metafile.yml │ │ ├── spark_sparse-convnext-small_16xb256-amp-coslr-800e_in1k.py │ │ ├── spark_sparse-convnextv2-tiny_16xb256-amp-coslr-800e_in1k.py │ │ ├── spark_sparse-resnet50_8xb512-amp-coslr-1600e_in1k.py │ │ └── spark_sparse-resnet50_8xb512-amp-coslr-800e_in1k.py │ ├── swav │ │ ├── README.md │ │ ├── benchmarks │ │ │ └── resnet50_8xb512-linear-coslr-90e_in1k.py │ │ ├── metafile.yml │ │ └── swav_resnet50_8xb32-mcrop-coslr-200e_in1k-224px-96px.py │ ├── swin_transformer │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── swin-base_16xb64_in1k-384px.py │ │ ├── swin-base_16xb64_in1k.py │ │ ├── swin-large_16xb64_in1k-384px.py │ │ ├── swin-large_16xb64_in1k.py │ │ ├── swin-large_8xb8_cub-384px.py │ │ ├── swin-small_16xb64_in1k.py │ │ └── swin-tiny_16xb64_in1k.py │ ├── swin_transformer_v2 │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── swinv2-base-w12_8xb128_in21k-192px.py │ │ ├── swinv2-base-w16_16xb64_in1k-256px.py │ │ ├── swinv2-base-w16_in21k-pre_16xb64_in1k-256px.py │ │ ├── swinv2-base-w24_in21k-pre_16xb64_in1k-384px.py │ │ ├── swinv2-base-w8_16xb64_in1k-256px.py │ │ ├── swinv2-large-w12_8xb128_in21k-192px.py │ │ ├── swinv2-large-w16_in21k-pre_16xb64_in1k-256px.py │ │ ├── swinv2-large-w24_in21k-pre_16xb64_in1k-384px.py │ │ ├── swinv2-small-w16_16xb64_in1k-256px.py │ │ ├── swinv2-small-w8_16xb64_in1k-256px.py │ │ ├── swinv2-tiny-w16_16xb64_in1k-256px.py │ │ └── swinv2-tiny-w8_16xb64_in1k-256px.py │ ├── t2t_vit │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── t2t-vit-t-14_8xb64_in1k.py │ │ ├── t2t-vit-t-19_8xb64_in1k.py │ │ └── t2t-vit-t-24_8xb64_in1k.py │ ├── tinyvit │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── tinyvit-11m-distill_8xb256_in1k.py │ │ ├── tinyvit-11m_8xb256_in1k.py │ │ ├── tinyvit-21m-distill_8xb256_in1k-384px.py │ │ ├── tinyvit-21m-distill_8xb256_in1k-512px.py │ │ ├── tinyvit-21m-distill_8xb256_in1k.py │ │ ├── tinyvit-21m_8xb256_in1k.py │ │ ├── tinyvit-5m-distill_8xb256_in1k.py │ │ └── tinyvit-5m_8xb256_in1k.py │ ├── tnt │ │ ├── README.md │ │ ├── metafile.yml │ │ └── tnt-s-p16_16xb64_in1k.py │ ├── twins │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── twins-pcpvt-base_8xb128_in1k.py │ │ ├── twins-pcpvt-large_16xb64_in1k.py │ │ ├── twins-pcpvt-small_8xb128_in1k.py │ │ ├── twins-svt-base_8xb128_in1k.py │ │ ├── twins-svt-large_16xb64_in1k.py │ │ └── twins-svt-small_8xb128_in1k.py │ ├── van │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── van-base_8xb128_in1k.py │ │ ├── van-large_8xb128_in1k.py │ │ ├── van-small_8xb128_in1k.py │ │ └── van-tiny_8xb128_in1k.py │ ├── vgg │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── vgg11_8xb32_in1k.py │ │ ├── vgg11bn_8xb32_in1k.py │ │ ├── vgg13_8xb32_in1k.py │ │ ├── vgg13bn_8xb32_in1k.py │ │ ├── vgg16_8xb16_voc.py │ │ ├── vgg16_8xb32_in1k.py │ │ ├── vgg16bn_8xb32_in1k.py │ │ ├── vgg19_8xb32_in1k.py │ │ └── vgg19bn_8xb32_in1k.py │ ├── vig │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── pvig-base_8xb128_in1k.py │ │ ├── pvig-medium_8xb128_in1k.py │ │ ├── pvig-small_8xb128_in1k.py │ │ ├── pvig-tiny_8xb128_in1k.py │ │ ├── vig-base_8xb128_in1k.py │ │ ├── vig-small_8xb128_in1k.py │ │ └── vig-tiny_8xb128_in1k.py │ ├── vision_transformer │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── vit-base-p16_32xb128-mae_in1k.py │ │ ├── vit-base-p16_4xb544-ipu_in1k.py │ │ ├── vit-base-p16_64xb64_in1k-384px.py │ │ ├── vit-base-p16_64xb64_in1k.py │ │ ├── vit-base-p16_8xb64-lora_in1k-384px.py │ │ ├── vit-base-p32_64xb64_in1k-384px.py │ │ ├── vit-base-p32_64xb64_in1k.py │ │ ├── vit-large-p16_64xb64_in1k-384px.py │ │ ├── vit-large-p16_64xb64_in1k.py │ │ ├── vit-large-p32_64xb64_in1k-384px.py │ │ └── vit-large-p32_64xb64_in1k.py │ ├── wrn │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── wide-resnet101_8xb32_in1k.py │ │ ├── wide-resnet50_8xb32_in1k.py │ │ └── wide-resnet50_timm_8xb32_in1k.py │ └── xcit │ │ ├── README.md │ │ ├── metafile.yml │ │ ├── xcit-large-24-p16_8xb128_in1k-384px.py │ │ ├── xcit-large-24-p16_8xb128_in1k.py │ │ ├── xcit-large-24-p8_8xb128_in1k-384px.py │ │ ├── xcit-large-24-p8_8xb128_in1k.py │ │ ├── xcit-medium-24-p16_8xb128_in1k-384px.py │ │ ├── xcit-medium-24-p16_8xb128_in1k.py │ │ ├── xcit-medium-24-p8_8xb128_in1k-384px.py │ │ ├── xcit-medium-24-p8_8xb128_in1k.py │ │ ├── xcit-nano-12-p16_8xb128_in1k-384px.py │ │ ├── xcit-nano-12-p16_8xb128_in1k.py │ │ ├── xcit-nano-12-p8_8xb128_in1k-384px.py │ │ ├── xcit-nano-12-p8_8xb128_in1k.py │ │ ├── xcit-small-12-p16_8xb128_in1k-384px.py │ │ ├── xcit-small-12-p16_8xb128_in1k.py │ │ ├── xcit-small-12-p8_8xb128_in1k-384px.py │ │ ├── xcit-small-12-p8_8xb128_in1k.py │ │ ├── xcit-small-24-p16_8xb128_in1k-384px.py │ │ ├── xcit-small-24-p16_8xb128_in1k.py │ │ ├── xcit-small-24-p8_8xb128_in1k-384px.py │ │ ├── xcit-small-24-p8_8xb128_in1k.py │ │ ├── xcit-tiny-12-p16_8xb128_in1k-384px.py │ │ ├── xcit-tiny-12-p16_8xb128_in1k.py │ │ ├── xcit-tiny-12-p8_8xb128_in1k-384px.py │ │ ├── xcit-tiny-12-p8_8xb128_in1k.py │ │ ├── xcit-tiny-24-p16_8xb128_in1k-384px.py │ │ ├── xcit-tiny-24-p16_8xb128_in1k.py │ │ ├── xcit-tiny-24-p8_8xb128_in1k-384px.py │ │ └── xcit-tiny-24-p8_8xb128_in1k.py ├── dataset-index.yml ├── demo │ ├── bird.JPEG │ ├── cat-dog.png │ ├── demo.JPEG │ ├── dog.jpg │ ├── image_demo.py │ └── ipu_train_example.sh ├── docker │ ├── Dockerfile │ └── serve │ │ ├── Dockerfile │ │ ├── config.properties │ │ └── entrypoint.sh ├── docs │ ├── en │ │ ├── Makefile │ │ ├── _static │ │ │ ├── css │ │ │ │ └── readthedocs.css │ │ │ ├── image │ │ │ │ ├── confusion-matrix.png │ │ │ │ ├── mmpt-logo.png │ │ │ │ └── tools │ │ │ │ │ └── analysis │ │ │ │ │ └── analyze_log.jpg │ │ │ └── js │ │ │ │ └── custom.js │ │ ├── _templates │ │ │ ├── 404.html │ │ │ ├── autosummary │ │ │ │ └── class.rst │ │ │ ├── callable.rst │ │ │ └── data_transform.rst │ │ ├── advanced_guides │ │ │ ├── convention.md │ │ │ ├── datasets.md │ │ │ ├── evaluation.md │ │ │ ├── modules.md │ │ │ ├── pipeline.md │ │ │ ├── runtime.md │ │ │ └── schedule.md │ │ ├── api │ │ │ ├── apis.rst │ │ │ ├── data_process.rst │ │ │ ├── datasets.rst │ │ │ ├── engine.rst │ │ │ ├── evaluation.rst │ │ │ ├── models.rst │ │ │ ├── structures.rst │ │ │ ├── utils.rst │ │ │ └── visualization.rst │ │ ├── conf.py │ │ ├── device │ │ │ └── npu.md │ │ ├── docutils.conf │ │ ├── get_started.md │ │ ├── index.rst │ │ ├── migration.md │ │ ├── notes │ │ │ ├── changelog.md │ │ │ ├── faq.md │ │ │ ├── finetune_custom_dataset.md │ │ │ ├── pretrain_custom_dataset.md │ │ │ └── projects.md │ │ ├── stat.py │ │ ├── useful_tools │ │ │ ├── cam_visualization.md │ │ │ ├── complexity_analysis.md │ │ │ ├── confusion_matrix.md │ │ │ ├── dataset_visualization.md │ │ │ ├── log_result_analysis.md │ │ │ ├── model_serving.md │ │ │ ├── print_config.md │ │ │ ├── scheduler_visualization.md │ │ │ ├── shape_bias.md │ │ │ ├── t-sne_visualization.md │ │ │ └── verify_dataset.md │ │ └── user_guides │ │ │ ├── config.md │ │ │ ├── dataset_prepare.md │ │ │ ├── downstream.md │ │ │ ├── inference.md │ │ │ ├── test.md │ │ │ └── train.md │ └── zh_CN │ │ ├── Makefile │ │ ├── _static │ │ ├── css │ │ │ └── readthedocs.css │ │ ├── image │ │ │ ├── mmpt-logo.png │ │ │ └── tools │ │ │ │ └── analysis │ │ │ │ └── analyze_log.jpg │ │ └── js │ │ │ └── custom.js │ │ ├── _templates │ │ ├── 404.html │ │ ├── autosummary │ │ │ └── class.rst │ │ ├── callable.rst │ │ └── data_transform.rst │ │ ├── advanced_guides │ │ ├── convention.md │ │ ├── datasets.md │ │ ├── evaluation.md │ │ ├── modules.md │ │ ├── pipeline.md │ │ ├── runtime.md │ │ └── schedule.md │ │ ├── conf.py │ │ ├── device │ │ └── npu.md │ │ ├── docutils.conf │ │ ├── get_started.md │ │ ├── index.rst │ │ ├── migration.md │ │ ├── notes │ │ ├── contribution_guide.md │ │ ├── faq.md │ │ ├── finetune_custom_dataset.md │ │ ├── pretrain_custom_dataset.md │ │ └── projects.md │ │ ├── stat.py │ │ ├── useful_tools │ │ ├── cam_visualization.md │ │ ├── complexity_analysis.md │ │ ├── confusion_matrix.md │ │ ├── dataset_visualization.md │ │ ├── log_result_analysis.md │ │ ├── model_serving.md │ │ ├── print_config.md │ │ ├── scheduler_visualization.md │ │ ├── shape_bias.md │ │ ├── t-sne_visualization.md │ │ └── verify_dataset.md │ │ └── user_guides │ │ ├── config.md │ │ ├── dataset_prepare.md │ │ ├── downstream.md │ │ ├── inference.md │ │ ├── test.md │ │ └── train.md ├── mmpretrain │ ├── __init__.py │ ├── apis │ │ ├── __init__.py │ │ ├── base.py │ │ ├── feature_extractor.py │ │ ├── image_caption.py │ │ ├── image_classification.py │ │ ├── image_retrieval.py │ │ ├── model.py │ │ ├── multimodal_retrieval.py │ │ ├── nlvr.py │ │ ├── utils.py │ │ ├── visual_grounding.py │ │ └── visual_question_answering.py │ ├── configs │ │ ├── _base_ │ │ │ ├── datasets │ │ │ │ ├── cifar10_bs16.py │ │ │ │ ├── cub_bs8_384.py │ │ │ │ ├── imagenet21k_bs128.py │ │ │ │ ├── imagenet_bs128_mbv3.py │ │ │ │ ├── imagenet_bs256_beitv2.py │ │ │ │ ├── imagenet_bs32.py │ │ │ │ ├── imagenet_bs32_pil_resize.py │ │ │ │ ├── imagenet_bs32_simclr.py │ │ │ │ ├── imagenet_bs512_mae.py │ │ │ │ ├── imagenet_bs64_pil_resize.py │ │ │ │ ├── imagenet_bs64_pil_resize_autoaug.py │ │ │ │ ├── imagenet_bs64_swin_224.py │ │ │ │ ├── imagenet_bs64_swin_256.py │ │ │ │ └── imagenet_bs64_swin_384.py │ │ │ ├── default_runtime.py │ │ │ ├── models │ │ │ │ ├── convnext_base.py │ │ │ │ ├── mae_hivit_base_p16.py │ │ │ │ ├── mae_vit_base_p16.py │ │ │ │ ├── mobilenet_v2_1x.py │ │ │ │ ├── mobilenet_v3_small.py │ │ │ │ ├── resnet18.py │ │ │ │ ├── swin_transformer_base.py │ │ │ │ ├── swin_transformer_v2_base.py │ │ │ │ └── vit_base_p16.py │ │ │ └── schedules │ │ │ │ ├── cifar10_bs128.py │ │ │ │ ├── cub_bs64.py │ │ │ │ ├── imagenet_bs1024_adamw_swin.py │ │ │ │ ├── imagenet_bs256.py │ │ │ │ ├── imagenet_bs256_epochstep.py │ │ │ │ ├── imagenet_bs4096_adamw.py │ │ │ │ └── imagenet_lars_coslr_200e.py │ │ ├── beit │ │ │ ├── beit_beit_base_p16_8xb256_amp_coslr_300e_in1k.py │ │ │ └── benchmarks │ │ │ │ ├── beit-base-p16_8xb128-coslr-100e_in1k.py │ │ │ │ └── beit-base-p16_8xb64_in1k.py │ │ ├── beitv2 │ │ │ ├── beitv2_beit-base-p16_8xb256-amp-coslr-1600e_in1k.py │ │ │ ├── beitv2_beit-base-p16_8xb256-amp-coslr-300e_in1k.py │ │ │ └── benchmarks │ │ │ │ ├── beit-base-p16_8xb128-coslr-100e_in1k.py │ │ │ │ └── beit-base-p16_8xb64_in1k.py │ │ ├── convnext │ │ │ ├── convnext-base_32xb128_in1k.py │ │ │ ├── convnext-base_32xb128_in21k.py │ │ │ ├── convnext-large_64xb64_in1k-384px.py │ │ │ ├── convnext-large_64xb64_in1k.py │ │ │ ├── convnext-large_64xb64_in21k.py │ │ │ ├── convnext-small_32xb128_in1k-384px.py │ │ │ ├── convnext-small_32xb128_in1k.py │ │ │ ├── convnext-tiny_32xb128_in1k-384px.py │ │ │ ├── convnext-tiny_32xb128_in1k.py │ │ │ ├── convnext-xlarge_64xb64_in1k-384px.py │ │ │ ├── convnext-xlarge_64xb64_in1k.py │ │ │ ├── convnext-xlarge_64xb64_in21k.py │ │ │ └── convnext_base_32xb128_in1k_384px.py │ │ ├── eva │ │ │ └── eva_mae_style_vit_base_p16_16xb256_coslr_400e_in1k.py │ │ ├── mae │ │ │ ├── mae_hivit_base_p16_8xb512_amp_coslr_1600e_in1k.py │ │ │ ├── mae_hivit_base_p16_8xb512_amp_coslr_400e_in1k.py │ │ │ ├── mae_hivit_base_p16_8xb512_amp_coslr_800e_in1k.py │ │ │ ├── mae_hivit_large_p16_8xb512_amp_coslr_1600e_in1k.py │ │ │ ├── mae_hivit_large_p16_8xb512_amp_coslr_400e_in1k.py │ │ │ ├── mae_hivit_large_p16_8xb512_amp_coslr_800e_in1k.py │ │ │ ├── mae_vit_base_p16_8xb512_amp_coslr_1600e_in1k.py │ │ │ ├── mae_vit_base_p16_8xb512_amp_coslr_300e_in1k.py │ │ │ ├── mae_vit_base_p16_8xb512_amp_coslr_400e_in1k.py │ │ │ ├── mae_vit_base_p16_8xb512_amp_coslr_800e_in1k.py │ │ │ ├── mae_vit_huge_p14_8xb512_amp_coslr_1600e_in1k.py │ │ │ ├── mae_vit_large_p16_8xb512_amp_coslr_1600e_in1k.py │ │ │ ├── mae_vit_large_p16_8xb512_amp_coslr_300e_in1k.py │ │ │ ├── mae_vit_large_p16_8xb512_amp_coslr_400e_in1k.py │ │ │ └── mae_vit_large_p16_8xb512_amp_coslr_800e_in1k.py │ │ ├── mobilenet_v2 │ │ │ └── mobilenet_v2_8xb32_in1k.py │ │ ├── mobilenet_v3 │ │ │ ├── mobilenet_v3_large_8xb128_in1k.py │ │ │ ├── mobilenet_v3_small_050_8xb128_in1k.py │ │ │ ├── mobilenet_v3_small_075_8xb128_in1k.py │ │ │ ├── mobilenet_v3_small_8xb128_in1k.py │ │ │ └── mobilenet_v3_small_8xb16_cifar10.py │ │ ├── resnet │ │ │ └── resnet18_8xb32_in1k.py │ │ ├── simclr │ │ │ └── simclr_resnet50_16xb256_coslr_200e_in1k.py │ │ ├── swin_transformer │ │ │ ├── swin_base_16xb64_in1k.py │ │ │ ├── swin_base_16xb64_in1k_384px.py │ │ │ ├── swin_large_16xb64_in1k.py │ │ │ ├── swin_large_16xb64_in1k_384px.py │ │ │ ├── swin_large_8xb8_cub_384px.py │ │ │ ├── swin_small_16xb64_in1k.py │ │ │ └── swin_tiny_16xb64_in1k.py │ │ ├── swin_transformer_v2 │ │ │ ├── swinv2_base_w12_8xb128_in21k_192px.py │ │ │ ├── swinv2_base_w16_16xb64_in1k_256px.py │ │ │ ├── swinv2_base_w16_in21k_pre_16xb64_in1k_256px.py │ │ │ ├── swinv2_base_w24_in21k_pre_16xb64_in1k_384px.py │ │ │ ├── swinv2_base_w8_16xb64_in1k_256px.py │ │ │ ├── swinv2_large_w12_8xb128_in21k_192px.py │ │ │ ├── swinv2_large_w16_in21k_pre_16xb64_in1k_256px.py │ │ │ ├── swinv2_large_w24_in21k_pre_16xb64_in1k_384px.py │ │ │ ├── swinv2_small_w16_16xb64_in1k_256px.py │ │ │ ├── swinv2_small_w8_16xb64_in1k_256px.py │ │ │ ├── swinv2_tiny_w16_16xb64_in1k_256px.py │ │ │ └── swinv2_tiny_w8_16xb64_in1k_256px.py │ │ └── vision_transformer │ │ │ ├── vit_base_p16_32xb128_mae_in1k.py │ │ │ ├── vit_base_p16_64xb64_in1k.py │ │ │ ├── vit_base_p16_64xb64_in1k_384px.py │ │ │ ├── vit_base_p32_64xb64_in1k.py │ │ │ ├── vit_base_p32_64xb64_in1k_384px.py │ │ │ ├── vit_large_p16_64xb64_in1k.py │ │ │ ├── vit_large_p16_64xb64_in1k_384px.py │ │ │ ├── vit_large_p32_64xb64_in1k.py │ │ │ └── vit_large_p32_64xb64_in1k_384px.py │ ├── datasets │ │ ├── __init__.py │ │ ├── base_dataset.py │ │ ├── builder.py │ │ ├── caltech101.py │ │ ├── categories.py │ │ ├── cifar.py │ │ ├── coco_caption.py │ │ ├── coco_retrieval.py │ │ ├── coco_vqa.py │ │ ├── cub.py │ │ ├── custom.py │ │ ├── dataset_wrappers.py │ │ ├── dtd.py │ │ ├── fgvcaircraft.py │ │ ├── flamingo.py │ │ ├── flickr30k_caption.py │ │ ├── flickr30k_retrieval.py │ │ ├── flowers102.py │ │ ├── food101.py │ │ ├── gqa_dataset.py │ │ ├── iconqa.py │ │ ├── imagenet.py │ │ ├── infographic_vqa.py │ │ ├── inshop.py │ │ ├── minigpt4_dataset.py │ │ ├── mnist.py │ │ ├── multi_label.py │ │ ├── multi_task.py │ │ ├── nlvr2.py │ │ ├── nocaps.py │ │ ├── ocr_vqa.py │ │ ├── oxfordiiitpet.py │ │ ├── places205.py │ │ ├── refcoco.py │ │ ├── samplers │ │ │ ├── __init__.py │ │ │ ├── repeat_aug.py │ │ │ └── sequential.py │ │ ├── scienceqa.py │ │ ├── stanfordcars.py │ │ ├── sun397.py │ │ ├── textvqa.py │ │ ├── transforms │ │ │ ├── __init__.py │ │ │ ├── auto_augment.py │ │ │ ├── formatting.py │ │ │ ├── processing.py │ │ │ ├── utils.py │ │ │ └── wrappers.py │ │ ├── utils.py │ │ ├── vg_vqa.py │ │ ├── visual_genome.py │ │ ├── vizwiz.py │ │ ├── voc.py │ │ └── vsr.py │ ├── engine │ │ ├── __init__.py │ │ ├── hooks │ │ │ ├── __init__.py │ │ │ ├── class_num_check_hook.py │ │ │ ├── densecl_hook.py │ │ │ ├── ema_hook.py │ │ │ ├── margin_head_hooks.py │ │ │ ├── precise_bn_hook.py │ │ │ ├── retriever_hooks.py │ │ │ ├── simsiam_hook.py │ │ │ ├── swav_hook.py │ │ │ ├── switch_recipe_hook.py │ │ │ ├── visualization_hook.py │ │ │ └── warmup_param_hook.py │ │ ├── optimizers │ │ │ ├── __init__.py │ │ │ ├── adan_t.py │ │ │ ├── lamb.py │ │ │ ├── lars.py │ │ │ └── layer_decay_optim_wrapper_constructor.py │ │ ├── runners │ │ │ ├── __init__.py │ │ │ └── retrieval_loop.py │ │ └── schedulers │ │ │ ├── __init__.py │ │ │ └── weight_decay_scheduler.py │ ├── evaluation │ │ ├── __init__.py │ │ ├── functional │ │ │ └── __init__.py │ │ └── metrics │ │ │ ├── ANLS.py │ │ │ ├── __init__.py │ │ │ ├── caption.py │ │ │ ├── gqa.py │ │ │ ├── multi_label.py │ │ │ ├── multi_task.py │ │ │ ├── nocaps.py │ │ │ ├── retrieval.py │ │ │ ├── scienceqa.py │ │ │ ├── shape_bias_label.py │ │ │ ├── single_label.py │ │ │ ├── visual_grounding_eval.py │ │ │ ├── voc_multi_label.py │ │ │ └── vqa.py │ ├── models │ │ ├── __init__.py │ │ ├── backbones │ │ │ ├── __init__.py │ │ │ ├── alexnet.py │ │ │ ├── base_backbone.py │ │ │ ├── beit.py │ │ │ ├── conformer.py │ │ │ ├── convmixer.py │ │ │ ├── convnext.py │ │ │ ├── cspnet.py │ │ │ ├── davit.py │ │ │ ├── deit.py │ │ │ ├── deit3.py │ │ │ ├── densenet.py │ │ │ ├── edgenext.py │ │ │ ├── efficientformer.py │ │ │ ├── efficientnet.py │ │ │ ├── efficientnet_v2.py │ │ │ ├── hivit.py │ │ │ ├── hornet.py │ │ │ ├── hrnet.py │ │ │ ├── inception_v3.py │ │ │ ├── lenet.py │ │ │ ├── levit.py │ │ │ ├── mixmim.py │ │ │ ├── mlp_mixer.py │ │ │ ├── mobilenet_v2.py │ │ │ ├── mobilenet_v3.py │ │ │ ├── mobileone.py │ │ │ ├── mobilevit.py │ │ │ ├── mvit.py │ │ │ ├── poolformer.py │ │ │ ├── regnet.py │ │ │ ├── replknet.py │ │ │ ├── repmlp.py │ │ │ ├── repvgg.py │ │ │ ├── res2net.py │ │ │ ├── resnest.py │ │ │ ├── resnet.py │ │ │ ├── resnet_cifar.py │ │ │ ├── resnext.py │ │ │ ├── revvit.py │ │ │ ├── riformer.py │ │ │ ├── seresnet.py │ │ │ ├── seresnext.py │ │ │ ├── shufflenet_v1.py │ │ │ ├── shufflenet_v2.py │ │ │ ├── sparse_convnext.py │ │ │ ├── sparse_resnet.py │ │ │ ├── swin_transformer.py │ │ │ ├── swin_transformer_v2.py │ │ │ ├── t2t_vit.py │ │ │ ├── timm_backbone.py │ │ │ ├── tinyvit.py │ │ │ ├── tnt.py │ │ │ ├── twins.py │ │ │ ├── van.py │ │ │ ├── vgg.py │ │ │ ├── vig.py │ │ │ ├── vision_transformer.py │ │ │ ├── vit_eva02.py │ │ │ ├── vit_sam.py │ │ │ └── xcit.py │ │ ├── builder.py │ │ ├── classifiers │ │ │ ├── __init__.py │ │ │ ├── base.py │ │ │ ├── hugging_face.py │ │ │ ├── image.py │ │ │ └── timm.py │ │ ├── heads │ │ │ ├── __init__.py │ │ │ ├── beitv1_head.py │ │ │ ├── beitv2_head.py │ │ │ ├── cae_head.py │ │ │ ├── cls_head.py │ │ │ ├── conformer_head.py │ │ │ ├── contrastive_head.py │ │ │ ├── deit_head.py │ │ │ ├── efficientformer_head.py │ │ │ ├── grounding_head.py │ │ │ ├── itc_head.py │ │ │ ├── itm_head.py │ │ │ ├── itpn_clip_head.py │ │ │ ├── latent_heads.py │ │ │ ├── levit_head.py │ │ │ ├── linear_head.py │ │ │ ├── mae_head.py │ │ │ ├── margin_head.py │ │ │ ├── mim_head.py │ │ │ ├── mixmim_head.py │ │ │ ├── mocov3_head.py │ │ │ ├── multi_label_cls_head.py │ │ │ ├── multi_label_csra_head.py │ │ │ ├── multi_label_linear_head.py │ │ │ ├── multi_task_head.py │ │ │ ├── seq_gen_head.py │ │ │ ├── simmim_head.py │ │ │ ├── spark_head.py │ │ │ ├── stacked_head.py │ │ │ ├── swav_head.py │ │ │ ├── vig_head.py │ │ │ ├── vision_transformer_head.py │ │ │ └── vqa_head.py │ │ ├── losses │ │ │ ├── __init__.py │ │ │ ├── asymmetric_loss.py │ │ │ ├── cae_loss.py │ │ │ ├── cosine_similarity_loss.py │ │ │ ├── cross_correlation_loss.py │ │ │ ├── cross_entropy_loss.py │ │ │ ├── focal_loss.py │ │ │ ├── label_smooth_loss.py │ │ │ ├── reconstruction_loss.py │ │ │ ├── seesaw_loss.py │ │ │ ├── swav_loss.py │ │ │ └── utils.py │ │ ├── multimodal │ │ │ ├── __init__.py │ │ │ ├── blip │ │ │ │ ├── __init__.py │ │ │ │ ├── blip_caption.py │ │ │ │ ├── blip_grounding.py │ │ │ │ ├── blip_nlvr.py │ │ │ │ ├── blip_retrieval.py │ │ │ │ ├── blip_vqa.py │ │ │ │ └── language_model.py │ │ │ ├── blip2 │ │ │ │ ├── Qformer.py │ │ │ │ ├── __init__.py │ │ │ │ ├── blip2_caption.py │ │ │ │ ├── blip2_opt_vqa.py │ │ │ │ ├── blip2_retriever.py │ │ │ │ └── modeling_opt.py │ │ │ ├── chinese_clip │ │ │ │ ├── __init__.py │ │ │ │ ├── bert.py │ │ │ │ ├── chinese_clip.py │ │ │ │ └── utils.py │ │ │ ├── clip │ │ │ │ ├── __init__.py │ │ │ │ ├── clip.py │ │ │ │ ├── clip_transformer.py │ │ │ │ └── utils.py │ │ │ ├── flamingo │ │ │ │ ├── __init__.py │ │ │ │ ├── adapter.py │ │ │ │ ├── flamingo.py │ │ │ │ ├── modules.py │ │ │ │ └── utils.py │ │ │ ├── llava │ │ │ │ ├── __init__.py │ │ │ │ ├── llava.py │ │ │ │ └── modules.py │ │ │ ├── minigpt4 │ │ │ │ ├── __init__.py │ │ │ │ └── minigpt4.py │ │ │ ├── ofa │ │ │ │ ├── __init__.py │ │ │ │ ├── ofa.py │ │ │ │ └── ofa_modules.py │ │ │ ├── otter │ │ │ │ ├── __init__.py │ │ │ │ └── otter.py │ │ │ └── ram │ │ │ │ ├── __init__.py │ │ │ │ ├── bert.py │ │ │ │ ├── config │ │ │ │ ├── __init__.py │ │ │ │ └── ram_swin_large_14m.py │ │ │ │ ├── data │ │ │ │ ├── ram_tag_list.pickle │ │ │ │ ├── ram_tag_list_chinese.pickle │ │ │ │ └── ram_tag_list_threshold.pickle │ │ │ │ ├── gradio_demo.py │ │ │ │ ├── openset_utils.py │ │ │ │ ├── ram.py │ │ │ │ ├── run │ │ │ │ ├── __init__.py │ │ │ │ └── inference.py │ │ │ │ └── utils.py │ │ ├── necks │ │ │ ├── __init__.py │ │ │ ├── beitv2_neck.py │ │ │ ├── cae_neck.py │ │ │ ├── densecl_neck.py │ │ │ ├── gap.py │ │ │ ├── gem.py │ │ │ ├── hr_fuse.py │ │ │ ├── itpn_neck.py │ │ │ ├── linear_neck.py │ │ │ ├── mae_neck.py │ │ │ ├── milan_neck.py │ │ │ ├── mixmim_neck.py │ │ │ ├── mocov2_neck.py │ │ │ ├── nonlinear_neck.py │ │ │ ├── simmim_neck.py │ │ │ ├── spark_neck.py │ │ │ └── swav_neck.py │ │ ├── peft │ │ │ ├── __init__.py │ │ │ └── lora.py │ │ ├── retrievers │ │ │ ├── __init__.py │ │ │ ├── base.py │ │ │ └── image2image.py │ │ ├── selfsup │ │ │ ├── __init__.py │ │ │ ├── barlowtwins.py │ │ │ ├── base.py │ │ │ ├── beit.py │ │ │ ├── byol.py │ │ │ ├── cae.py │ │ │ ├── densecl.py │ │ │ ├── eva.py │ │ │ ├── itpn.py │ │ │ ├── mae.py │ │ │ ├── maskfeat.py │ │ │ ├── mff.py │ │ │ ├── milan.py │ │ │ ├── mixmim.py │ │ │ ├── moco.py │ │ │ ├── mocov3.py │ │ │ ├── simclr.py │ │ │ ├── simmim.py │ │ │ ├── simsiam.py │ │ │ ├── spark.py │ │ │ └── swav.py │ │ ├── tta │ │ │ ├── __init__.py │ │ │ └── score_tta.py │ │ └── utils │ │ │ ├── __init__.py │ │ │ ├── attention.py │ │ │ ├── batch_augments │ │ │ ├── __init__.py │ │ │ ├── cutmix.py │ │ │ ├── mixup.py │ │ │ ├── resizemix.py │ │ │ └── wrapper.py │ │ │ ├── batch_shuffle.py │ │ │ ├── box_utils.py │ │ │ ├── channel_shuffle.py │ │ │ ├── clip_generator_helper.py │ │ │ ├── data_preprocessor.py │ │ │ ├── ema.py │ │ │ ├── embed.py │ │ │ ├── helpers.py │ │ │ ├── huggingface.py │ │ │ ├── inverted_residual.py │ │ │ ├── layer_scale.py │ │ │ ├── make_divisible.py │ │ │ ├── norm.py │ │ │ ├── position_encoding.py │ │ │ ├── res_layer_extra_norm.py │ │ │ ├── se_layer.py │ │ │ ├── sparse_modules.py │ │ │ ├── swiglu_ffn.py │ │ │ ├── tokenizer.py │ │ │ └── vector_quantizer.py │ ├── registry.py │ ├── structures │ │ ├── __init__.py │ │ ├── data_sample.py │ │ ├── multi_task_data_sample.py │ │ └── utils.py │ ├── utils │ │ ├── __init__.py │ │ ├── analyze.py │ │ ├── collect_env.py │ │ ├── dependency.py │ │ ├── misc.py │ │ ├── progress.py │ │ └── setup_env.py │ ├── version.py │ └── visualization │ │ ├── __init__.py │ │ ├── utils.py │ │ └── visualizer.py ├── model-index.yml ├── projects │ ├── README.md │ ├── dino │ │ ├── README.md │ │ ├── config │ │ │ └── dino_vit-base-p16_8xb64-amp-coslr-100e_in1k.py │ │ ├── dataset │ │ │ ├── __init__.py │ │ │ └── transform │ │ │ │ ├── __init__.py │ │ │ │ └── processing.py │ │ ├── engine │ │ │ ├── __init__.py │ │ │ └── hooks │ │ │ │ ├── __init__.py │ │ │ │ └── dino_teacher_temp_warmup_hook.py │ │ ├── models │ │ │ ├── __init__.py │ │ │ ├── algorithm │ │ │ │ ├── __init__.py │ │ │ │ └── dino.py │ │ │ ├── head │ │ │ │ ├── __init__.py │ │ │ │ └── dino_head.py │ │ │ └── neck │ │ │ │ ├── __init__.py │ │ │ │ └── dino_neck.py │ │ └── tools │ │ │ ├── dist_train.sh │ │ │ ├── slurm_train.sh │ │ │ └── train.py │ ├── example_project │ │ ├── README.md │ │ ├── configs │ │ │ └── examplenet_8xb32_in1k.py │ │ └── models │ │ │ ├── __init__.py │ │ │ └── example_net.py │ ├── fgia_accv2022_1st │ │ ├── README.md │ │ └── config │ │ │ └── mae_vit-large-p16_8xb512-amp-coslr-1600e_in1k.py │ ├── gradio_demo │ │ ├── README.md │ │ ├── conversation.py │ │ ├── launch.py │ │ └── minigpt4_demo.py │ ├── internimage_classification │ │ ├── README.md │ │ ├── configs │ │ │ ├── _base_.py │ │ │ ├── internimage-base_8xb128_in1k-224.py │ │ │ ├── internimage-giant_8xb128_in1k-512.py │ │ │ ├── internimage-huge_8xb128_in1k-640.py │ │ │ ├── internimage-large_8xb128_in1k-384.py │ │ │ ├── internimage-small_8xb128_in1k-224.py │ │ │ ├── internimage-tiny_8xb128_in1k-224.py │ │ │ └── internimage-xlagre_8xb128_in1k-384.py │ │ ├── models │ │ │ ├── __init__.py │ │ │ └── intern_image.py │ │ └── ops_dcnv3 │ │ │ ├── functions │ │ │ ├── __init__.py │ │ │ └── dcnv3_func.py │ │ │ ├── make.sh │ │ │ ├── modules │ │ │ ├── __init__.py │ │ │ └── dcnv3.py │ │ │ ├── setup.py │ │ │ ├── src │ │ │ ├── cpu │ │ │ │ ├── dcnv3_cpu.cpp │ │ │ │ └── dcnv3_cpu.h │ │ │ ├── cuda │ │ │ │ ├── dcnv3_cuda.cu │ │ │ │ ├── dcnv3_cuda.h │ │ │ │ └── dcnv3_im2col_cuda.cuh │ │ │ ├── dcnv3.h │ │ │ └── vision.cpp │ │ │ └── test.py │ └── maskfeat_video │ │ ├── README.md │ │ ├── configs │ │ ├── maskfeat_mvit-small_16xb32-amp-coslr-300e_k400.py │ │ ├── maskfeat_mvit-small_8xb32-amp-coslr-300e_k400.py │ │ └── mvit-small_ft-8xb16-coslr-100e_k400.py │ │ ├── models │ │ ├── __init__.py │ │ ├── hog_generator_3d.py │ │ ├── maskfeat.py │ │ ├── maskfeat_mvit.py │ │ └── transforms.py │ │ └── tools │ │ ├── dist_train.sh │ │ ├── slurm_train.sh │ │ └── train.py ├── requirements │ ├── docs.txt │ ├── mminstall.txt │ ├── multimodal.txt │ ├── optional.txt │ ├── readthedocs.txt │ ├── runtime.txt │ └── tests.txt ├── resources │ ├── miaomiao_qrcode.jpg │ ├── mmpt-logo.png │ ├── xiaozhushou_weixin_qrcode.jpeg │ └── zhihu_qrcode.jpg ├── tests │ ├── __init__.py │ ├── data │ │ ├── color.jpg │ │ ├── dataset │ │ │ ├── 3.jpeg │ │ │ ├── ann.json │ │ │ ├── ann.txt │ │ │ ├── ann_without_labels.txt │ │ │ ├── classes.txt │ │ │ ├── multi-task.json │ │ │ └── multi_label_ann.json │ │ ├── gray.jpg │ │ ├── meta.yml │ │ ├── retinanet.py │ │ └── vis_data.json │ ├── test_apis │ │ ├── test_inference.py │ │ └── test_model.py │ ├── test_datasets │ │ ├── test_dataset_utils.py │ │ ├── test_datasets.py │ │ ├── test_samplers │ │ │ └── test_repeat_aug.py │ │ └── test_transforms │ │ │ ├── test_auto_augment.py │ │ │ ├── test_formatting.py │ │ │ ├── test_processing.py │ │ │ └── test_wrappers.py │ ├── test_engine │ │ ├── test_hooks │ │ │ ├── test_arcface_hooks.py │ │ │ ├── test_class_num_check_hook.py │ │ │ ├── test_densecl_hook.py │ │ │ ├── test_ema_hook.py │ │ │ ├── test_precise_bn_hook.py │ │ │ ├── test_retrievers_hooks.py │ │ │ ├── test_simsiam_hook.py │ │ │ ├── test_swav_hook.py │ │ │ ├── test_switch_recipe_hook.py │ │ │ └── test_visualization_hook.py │ │ └── test_optimizers │ │ │ └── test_layer_decay_optim_wrapper_constructor.py │ ├── test_evaluation │ │ └── test_metrics │ │ │ ├── test_gqa.py │ │ │ ├── test_metric_utils.py │ │ │ ├── test_multi_label.py │ │ │ ├── test_multi_task_metrics.py │ │ │ ├── test_retrieval.py │ │ │ ├── test_scienceqa.py │ │ │ ├── test_shape_bias_metric.py │ │ │ ├── test_single_label.py │ │ │ └── test_voc_metrics.py │ ├── test_models │ │ ├── test_backbones │ │ │ ├── __init__.py │ │ │ ├── test_beit.py │ │ │ ├── test_conformer.py │ │ │ ├── test_convmixer.py │ │ │ ├── test_convnext.py │ │ │ ├── test_cspnet.py │ │ │ ├── test_davit.py │ │ │ ├── test_deit.py │ │ │ ├── test_deit3.py │ │ │ ├── test_densenet.py │ │ │ ├── test_edgenext.py │ │ │ ├── test_efficientformer.py │ │ │ ├── test_efficientnet.py │ │ │ ├── test_efficientnet_v2.py │ │ │ ├── test_eva02.py │ │ │ ├── test_hornet.py │ │ │ ├── test_hrnet.py │ │ │ ├── test_inception_v3.py │ │ │ ├── test_levit.py │ │ │ ├── test_mixmim.py │ │ │ ├── test_mlp_mixer.py │ │ │ ├── test_mobilenet_v2.py │ │ │ ├── test_mobilenet_v3.py │ │ │ ├── test_mobileone.py │ │ │ ├── test_mobilevit.py │ │ │ ├── test_mvit.py │ │ │ ├── test_poolformer.py │ │ │ ├── test_regnet.py │ │ │ ├── test_replknet.py │ │ │ ├── test_repmlp.py │ │ │ ├── test_repvgg.py │ │ │ ├── test_res2net.py │ │ │ ├── test_resnest.py │ │ │ ├── test_resnet.py │ │ │ ├── test_resnet_cifar.py │ │ │ ├── test_resnext.py │ │ │ ├── test_revvit.py │ │ │ ├── test_riformer.py │ │ │ ├── test_seresnet.py │ │ │ ├── test_seresnext.py │ │ │ ├── test_shufflenet_v1.py │ │ │ ├── test_shufflenet_v2.py │ │ │ ├── test_swin_transformer.py │ │ │ ├── test_swin_transformer_v2.py │ │ │ ├── test_t2t_vit.py │ │ │ ├── test_timm_backbone.py │ │ │ ├── test_tinyvit.py │ │ │ ├── test_tnt.py │ │ │ ├── test_twins.py │ │ │ ├── test_van.py │ │ │ ├── test_vgg.py │ │ │ ├── test_vision_transformer.py │ │ │ ├── test_xcit.py │ │ │ └── utils.py │ │ ├── test_classifiers.py │ │ ├── test_heads.py │ │ ├── test_losses.py │ │ ├── test_models.py │ │ ├── test_necks.py │ │ ├── test_peft │ │ │ └── test_lora.py │ │ ├── test_retrievers.py │ │ ├── test_selfsup │ │ │ ├── test_barlowtwins.py │ │ │ ├── test_beit.py │ │ │ ├── test_byol.py │ │ │ ├── test_cae.py │ │ │ ├── test_densecl.py │ │ │ ├── test_eva.py │ │ │ ├── test_itpn.py │ │ │ ├── test_mae.py │ │ │ ├── test_maskfeat.py │ │ │ ├── test_mff.py │ │ │ ├── test_milan.py │ │ │ ├── test_mixmim.py │ │ │ ├── test_moco.py │ │ │ ├── test_mocov3.py │ │ │ ├── test_simclr.py │ │ │ ├── test_simmim.py │ │ │ ├── test_simsiam.py │ │ │ ├── test_spark.py │ │ │ ├── test_swav.py │ │ │ └── test_target_generators.py │ │ ├── test_tta.py │ │ └── test_utils │ │ │ ├── test_attention.py │ │ │ ├── test_batch_augments.py │ │ │ ├── test_data_preprocessor.py │ │ │ ├── test_ema.py │ │ │ ├── test_embed.py │ │ │ ├── test_inverted_residual.py │ │ │ ├── test_layer_scale.py │ │ │ ├── test_misc.py │ │ │ ├── test_norm.py │ │ │ ├── test_position_encoding.py │ │ │ ├── test_se.py │ │ │ └── test_swiglu_ffn.py │ ├── test_structures │ │ ├── test_datasample.py │ │ └── test_utils.py │ ├── test_tools.py │ ├── test_utils │ │ ├── test_analyze.py │ │ ├── test_setup_env.py │ │ └── test_version_utils.py │ └── test_visualization │ │ └── test_visualizer.py └── tools │ ├── analysis_tools │ ├── analyze_logs.py │ ├── analyze_results.py │ ├── confusion_matrix.py │ ├── eval_metric.py │ ├── get_flops.py │ ├── shape_bias.py │ └── utils.py │ ├── benchmarks │ ├── mmdetection │ │ ├── mim_dist_test.sh │ │ ├── mim_dist_train_c4.sh │ │ ├── mim_dist_train_fpn.sh │ │ ├── mim_slurm_test.sh │ │ ├── mim_slurm_train_c4.sh │ │ └── mim_slurm_train_fpn.sh │ └── mmsegmentation │ │ ├── mim_dist_test.sh │ │ ├── mim_dist_train.sh │ │ ├── mim_slurm_test.sh │ │ └── mim_slurm_train.sh │ ├── dataset_converters │ ├── convert_flickr30k_ann.py │ ├── convert_imagenet_subsets.py │ ├── convert_inaturalist.py │ ├── odl_cub_preprocess.sh │ └── odl_imagenet1k_preprocess.sh │ ├── dist_test.sh │ ├── dist_train.sh │ ├── kfold-cross-valid.py │ ├── misc │ ├── print_config.py │ └── verify_dataset.py │ ├── model_converters │ ├── clip_to_mmpretrain.py │ ├── convnext_to_mmpretrain.py │ ├── davit_to_mmpretrain.py │ ├── deit3_to_mmpretrain.py │ ├── edgenext_to_mmpretrain.py │ ├── efficientnet_to_mmpretrain.py │ ├── efficientnetv2_to_mmpretrain.py │ ├── eva02_to_mmpretrain.py │ ├── eva_to_mmpretrain.py │ ├── glip_to_mmpretrain.py │ ├── hornet2mmpretrain.py │ ├── levit2mmpretrain.py │ ├── llava-delta2mmpre.py │ ├── merge_lora_weight.py │ ├── mixmim_to_mmpretrain.py │ ├── mlpmixer_to_mmpretrain.py │ ├── mobilenetv2_to_mmpretrain.py │ ├── ofa.py │ ├── openai-clip_to_mmpretrain-clip.py │ ├── otter2mmpre.py │ ├── publish_model.py │ ├── ram2mmpretrain.py │ ├── reparameterize_model.py │ ├── replknet_to_mmpretrain.py │ ├── repvgg_to_mmpretrain.py │ ├── revvit_to_mmpretrain.py │ ├── shufflenetv2_to_mmpretrain.py │ ├── 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