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595 Commits (368211d19a16cfaa79e2c64566ff92408e28ff32)

Author SHA1 Message Date
Sepehr Sameni abf3e044bb
Update scheduler_factory.py
3 years ago
Ross Wightman 3cdaf5ed56 Add `mmax` config key to auto_augment for increasing upper bound of RandAugment magnitude beyond 10. Make AugMix uniform sampling default not override config setting.
3 years ago
Ross Wightman 1042b8a146 Add non fused LAMB optimizer option
3 years ago
Ross Wightman 01cb46a9a5 Add gc_efficientnetv2_rw_t weights (global context instead of SE attn). Add TF XL weights even though the fine-tuned ones don't validate that well. Change default arg for GlobalContext to use scal (mul) mode.
3 years ago
Ross Wightman d3f7440650 Add EfficientNetV2 XL model defs
3 years ago
Ross Wightman 72b227dcf5
Merge pull request #750 from drjinying/master
3 years ago
Ross Wightman 2907c1f967
Merge pull request #746 from samarth4149/master
3 years ago
Ross Wightman 748ab852ca Allow act_layer switch for xcit, fix in_chans for some variants
3 years ago
Ying Jin 20b2d4b69d Use bicubic interpolation in resize_pos_embed()
3 years ago
Ross Wightman d3255adf8e Merge branch 'xcit' of https://github.com/alexander-soare/pytorch-image-models into alexander-soare-xcit
3 years ago
Ross Wightman f8039c7492 Fix gc effv2 model cfg name
3 years ago
Alexander Soare 3a55a30ed1 add notes from author
3 years ago
Alexander Soare 899cf84ccc bug fix - missing _dist postfix for many of the 224_dist models
3 years ago
Alexander Soare 623e8b8eb8 wip xcit
3 years ago
Ross Wightman 392368e210 Add efficientnetv2_rw_t defs w/ weights, and gc variant, as well as gcresnet26ts for experiments. Version 0.4.13
3 years ago
samarth daab57a6d9 1. Added a simple multi step LR scheduler
3 years ago
Ross Wightman 6d8272e92c Add SAM pretrained model defs/weights for ViT B16 and B32 models.
3 years ago
Ross Wightman ee4d8fc69a Remove unecessary line from nest post refactor
3 years ago
Ross Wightman 8165cacd82 Realized LayerNorm2d won't work in all cases as is, fixed.
3 years ago
Ross Wightman 81cd6863c8 Move aggregation (convpool) for nest into NestLevel, cleanup and enable features_only use. Finalize weight url.
3 years ago
Ross Wightman 6ae0ac6420 Merge branch 'nested_transformer' of https://github.com/alexander-soare/pytorch-image-models into alexander-soare-nested_transformer
3 years ago
Alexander Soare 7b8a0017f1 wip to review
3 years ago
Alexander Soare b11d949a06 wip checkpoint with some feature extraction work
3 years ago
Alexander Soare 23bb72ce5e nested_transformer wip
3 years ago
Ross Wightman 766b4d3262 Fix features for resnetv2_50t
3 years ago
Ross Wightman e8045e712f Fix BatchNorm for ResNetV2 non GN models, add more ResNetV2 model defs for future experimentation, fix zero_init of last residual for pre-act.
3 years ago
Ross Wightman 20a2be14c3 Add gMLP-S weights, 79.6 top-1
3 years ago
Ross Wightman 85f894e03d Fix ViT in21k representation (pre_logits) layer handling across old and new npz checkpoints
3 years ago
Ross Wightman b41cffaa93 Fix a few issues loading pretrained vit/bit npz weights w/ num_classes=0 __init__ arg. Missed a few other small classifier handling detail on Mlp, GhostNet, Levit. Should fix #713
3 years ago
Ross Wightman 9c9755a808 AugReg release
3 years ago
Ross Wightman 381b279785 Add hybrid model fwds back
3 years ago
Ross Wightman 26f04a8e3e Fix a weight link
3 years ago
Ross Wightman 8f4a0222ed Add GMixer-24 MLP model weights, trained w/ TPU + PyTorch XLA
3 years ago
Ross Wightman 4c09a2f169 Bump version 0.4.12
3 years ago
Ross Wightman b319eb5b5d Update ViT weights, more details to be added before merge.
3 years ago
Ross Wightman 8257b86550 Fix up resnetv2 bit/bitm model default res
3 years ago
Ross Wightman 1228f5a3d8 Add BiT distilled 50x1 and teacher 152x2 models from 'A good teacher is patient and consistent' paper.
3 years ago
Ross Wightman 511a8e8c96 Add official ResMLP weights.
3 years ago
Ross Wightman b9cfb64412 Support npz custom load for vision transformer hybrid models. Add posembed rescale for npz load.
3 years ago
Ross Wightman 8319e0c373 Add file docstring to std_conv.py
3 years ago
Ross Wightman 4d96165989 Merge branch 'master' into cleanup_xla_model_fixes
3 years ago
Ross Wightman 8880f696b6 Refactoring, cleanup, improved test coverage.
3 years ago
Ross Wightman ba2ca4b464 One codepath for stdconv, switch layernorm to batchnorm so gain included. Tweak epsilon values for nfnet, resnetv2, vit hybrid.
3 years ago
Ross Wightman b7a568f065 Fix torchscript issue in bat
3 years ago
Ross Wightman d17b374f0f Minimum input_size needed to be higher
3 years ago
Ross Wightman b3b90d944d Add min_input_size to bat_resnext to prevent test breakage.
3 years ago
Ross Wightman d413eef1bf Add ResMLP-24 model weights that I trained in PyTorch XLA on TPU-VM. 79.2 top-1.
3 years ago
Ross Wightman 10d8fa4620 Add gc and bat attention resnext26ts variants to byob for test.
3 years ago
Ross Wightman 2f5ed2dec1 Update `init_values` const for 24 and 36 layer ResMLP models
3 years ago
Ross Wightman 8e4ac3549f All ScaledStdConv and StdConv uses default to using F.layernorm so that they work with PyTorch XLA. eps value tweaking is a WIP.
3 years ago