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501 Commits (8e11da0ce38e96b17760f8aa048c01f7c75ece3b)

Author SHA1 Message Date
Ross Wightman 8e11da0ce3 Add experimental RegNetZ(ish) models for training / perf trials.
3 years ago
Alexander Soare 6bbc50beb4 make it possible to provide norm_layer via create_model
3 years ago
Ross Wightman cf5ac2800c BotNet models were still off, remove weights for bad configs. Add good SE-HaloNet33-TS weights.
3 years ago
Ross Wightman 24720abe3b Merge branch 'master' into attn_update
3 years ago
Ross Wightman 1c9284c640 Add BeiT 'finetuned' 1k weights and pretrained 22k weights, pretraining specific (masked) model excluded for now
3 years ago
Ross Wightman f8a215cfe6 A few more crossvit tweaks, fix training w/ no_weight_decay names, add crop option for scaling, adjust default crop_pct for large img size to 1.0 for better results
3 years ago
Ross Wightman 7ab2491ab7 Better handling of crossvit for tests / forward_features, fix torchscript regression in my changes
3 years ago
Ross Wightman f1808e0970 Post crossvit merge cleanup, change model names to reflect input size, cleanup img size vs scale handling, fix tests
3 years ago
Ross Wightman 4027412757 Add resnet33ts weights, update resnext26ts baseline weights
3 years ago
Richard Chen 9fe5798bee fix bug for reset classifier and fix for validating the dimension
3 years ago
Richard Chen 3718c5a5bd fix loading pretrained model
3 years ago
Richard Chen bb50b69a57 fix for torch script
3 years ago
Ross Wightman 5bd04714e4 Cleanup weight init for byob/byoanet and related
3 years ago
Ross Wightman 8642401e88 Swap botnet 26/50 weights/models after realizing a mistake in arch def, now figuring out why they were so low...
3 years ago
Ross Wightman 5f12de4875 Add initial AttentionPool2d that's being trialed. Fix comment and still trying to improve reliability of sgd test.
3 years ago
Ross Wightman 76881d207b Add baseline resnet26t @ 256x256 weights. Add 33ts variant of halonet with at least one halo in stage 2,3,4
3 years ago
Ross Wightman 484e61648d Adding the attn series weights, tweaking model names, comments...
3 years ago
Ross Wightman 492c0a4e20 Update HaloAttn comment
3 years ago
Richard Chen 7ab9d4555c add crossvit
3 years ago
Ross Wightman 3b9032ea48 Use Tensor.unfold().unfold() for HaloAttn, fast like as_strided but more clarity
3 years ago
Ross Wightman 78933122c9 Fix silly typo
3 years ago
Ross Wightman 2568ffc5ef Merge branch 'master' into attn_update
3 years ago
Ross Wightman 708d87a813 Fix ViT SAM weight compat as weights at URL changed to not use repr layer. Fix #825. Tweak optim test.
3 years ago
Ross Wightman 8449ba210c Improve performance of HaloAttn, change default dim calc. Some cleanup / fixes for byoanet. Rename resnet26ts to tfs to distinguish (extra fc).
3 years ago
Ross Wightman a8b65695f1 Add resnet26ts and resnext26ts models for non-attn baselines
3 years ago
Ross Wightman a5a542f17d Fix typo
3 years ago
Ross Wightman 925e102982 Update attention / self-attn based models from a series of experiments:
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 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
4 years ago
Ross Wightman f8039c7492 Fix gc effv2 model cfg name
4 years ago
Alexander Soare 3a55a30ed1 add notes from author
4 years ago
Alexander Soare 899cf84ccc bug fix - missing _dist postfix for many of the 224_dist models
4 years ago
Alexander Soare 623e8b8eb8 wip xcit
4 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
4 years ago
Ross Wightman 6d8272e92c Add SAM pretrained model defs/weights for ViT B16 and B32 models.
4 years ago
Ross Wightman ee4d8fc69a Remove unecessary line from nest post refactor
4 years ago
Ross Wightman 8165cacd82 Realized LayerNorm2d won't work in all cases as is, fixed.
4 years ago
Ross Wightman 81cd6863c8 Move aggregation (convpool) for nest into NestLevel, cleanup and enable features_only use. Finalize weight url.
4 years ago
Ross Wightman 6ae0ac6420 Merge branch 'nested_transformer' of https://github.com/alexander-soare/pytorch-image-models into alexander-soare-nested_transformer
4 years ago
Alexander Soare 7b8a0017f1 wip to review
4 years ago
Alexander Soare b11d949a06 wip checkpoint with some feature extraction work
4 years ago
Alexander Soare 23bb72ce5e nested_transformer wip
4 years ago
Ross Wightman 766b4d3262 Fix features for resnetv2_50t
4 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.
4 years ago
Ross Wightman 20a2be14c3 Add gMLP-S weights, 79.6 top-1
4 years ago
Ross Wightman 85f894e03d Fix ViT in21k representation (pre_logits) layer handling across old and new npz checkpoints
4 years ago