714 Commits (9bb4c80d2a61812f4ca2a0d665f6147978feed39)

Author	SHA1	Message	Date
Ross Wightman	e5da481073	Small post-merge tweak for freeze/unfreeze, add to __init__ for utils	3 years ago
Ross Wightman	5ca72dcc75	Merge branch 'freeze-functionality' of https://github.com/alexander-soare/pytorch-image-models into alexander-soare-freeze-functionality	3 years ago
Ross Wightman	e2b8d44ff0	Halo, bottleneck attn, lambda layer additions and cleanup along w/ experimental model defs ... * align interfaces of halo, bottleneck attn and lambda layer * add qk_ratio to all of above, control q/k dim relative to output dim * add experimental haloregnetz, and trionet (lambda + halo + bottle) models	3 years ago
Alexander Soare	431e60c83f	Add acknowledgements for freeze_batch_norm inspiration	3 years ago
Ross Wightman	fbf59c04ee	Change crop ratio on correct resnet50 variant.	3 years ago
Ross Wightman	ae1ff5792f	Clean a1/a2/3 rsb _0 checkpoints properly, fix v2 loading.	3 years ago
Ross Wightman	93901e992f	Version bump to 0.5.0 for pending release post RSB and ATTN updates	3 years ago
Ross Wightman	da0d39bedd	Update default crop_pct for byoanet	3 years ago
Ross Wightman	cc9bedf373	Add initial ResNet Strikes Back weights for ResNet50 and ResNetV2-50 models	3 years ago
Ross Wightman	64495505b7	Add updated lambda resnet26 and botnet26 checkpoints with fixes applied	3 years ago
Ross Wightman	b2094f4ee8	support bits checkpoints in avg/load	3 years ago
Ross Wightman	007bc39323	Some halo and bottleneck attn code cleanup, add halonet50ts weights, use optimal crop ratios	3 years ago
Alexander Soare	65c3d78b96	Freeze unfreeze functionality finalized. Tests added	3 years ago
Alexander Soare	0cb8ea432c	wip	3 years ago
Ross Wightman	b1c2e3eb92	Match rel_pos_indices attr rename in conv branch	3 years ago
Ross Wightman	b49630a138	Add relative pos embed option to LambdaLayer, fix last transpose/reshape.	3 years ago
Ross Wightman	d657e2cc0b	Remove dead code line from efficientnet	3 years ago
Ross Wightman	0ca687f224	Make 'regnetz' model experiments closer to actual RegNetZ, bottleneck expansion, expand from in_chs, no shortcut on stride 2, tweak model sizes	3 years ago
leondgarse	51eaf9360d	Remove a duplicate layer creation in byobnet.py ... `self.conv2_kxk` is repeated in `byobnet.py`. Remove the duplicate code.	3 years ago
Ross Wightman	b81e79aae9	Fix bottleneck attn transpose typo, hopefully these train better now..	3 years ago
Ross Wightman	80075b0b8a	Add worker_seeding arg to allow selecting old vs updated data loader worker seed for (old) experiment repeatability	3 years ago
Ross Wightman	6478bcd02c	Fix regnetz_d conv layer name, use inception mean/std	3 years ago
Ross Wightman	0387e6057e	Update binary cross ent impl to use thresholding as an option (convert soft targets from mixup/cutmix to 0, 1)	3 years ago
Ross Wightman	f8a63a3b71	Add worker_init_fn to loader for numpy seed per worker	3 years ago
Ross Wightman	515121cca1	Use reshape instead of view in std_conv, causing issues in recent PyTorch in channels_last	3 years ago
Ross Wightman	da06cc61d4	ResNetV2 seems to work best without zero_init residual	3 years ago
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	fb94350896	Update training script and loader factory to allow use of scheduler updates, repeat augment, and bce loss	3 years ago
Ross Wightman	f262137ff2	Add RepeatAugSampler as per DeiT RASampler impl, showing promise for current (distributed) training experiments.	3 years ago
Ross Wightman	ba9c1108a1	Add a BCE loss impl that converts dense targets to sparse /w smoothing as an alternate to CE w/ smoothing. For training experiments.	3 years ago
Ross Wightman	29a37e23ee	LR scheduler update: ... * add polynomial decay 'poly' * cleanup cycle specific args for cosine, poly, and tanh sched, t_mul -> cycle_mul, decay -> cycle_decay, default cycle_limit to 1 in each opt * add k-decay for cosine and poly sched as per https://arxiv.org/abs/2004.05909 * change default tanh ub/lb to push inflection to later epochs	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: ... * remove dud attention, involution + my swin attention adaptation don't seem worth keeping * add or update several new 26/50 layer ResNe(X)t variants that were used in experiments * remove models associated with dead-end or uninteresting experiment results * weights coming soon...	3 years ago
Ross Wightman	d667351eac	Tweak accuracy topk safety. Fix #807	3 years ago
Yohann Lereclus	35c9740826	Fix accuracy when topk > num_classes	3 years ago
Ross Wightman	a16a753852	Add lamb/lars to optim init imports, remove stray comment	3 years ago
Ross Wightman	c207e02782	MOAR optimizer changes. Woo!	3 years ago
Ross Wightman	a426511c95	More optimizer cleanup. Change all to no longer use .data. Improve (b)float16 use with adabelief. Add XLA compatible Lars.	3 years ago
Ross Wightman	9541f4963b	One more scalar -> tensor fix for lamb optimizer	3 years ago
Ross Wightman	8f68193c91	Update lamp.py comment	3 years ago
Ross Wightman	4d284017b8	Merge pull request #813 from rwightman/opt_cleanup ... Optimizer cleanup and additions	3 years ago
Ross Wightman	a6af48be64	add madgradw optimizer	3 years ago
Ross Wightman	55fb5eedf6	Remove experiment from lamb impl	3 years ago
Ross Wightman	8a9eca5157	A few optimizer comments, dead import, missing import	3 years ago
Ross Wightman	ac469b50da	Optimizer improvements, additions, cleanup ... * Add MADGRAD code * Fix Lamb (non-fused variant) to work w/ PyTorch XLA * Tweak optimizer factory args (lr/learning_rate and opt/optimizer_name), may break compat * Use newer fn signatures for all add,addcdiv, addcmul in optimizers * Use upcoming PyTorch native Nadam if it's available * Cleanup lookahead opt * Add optimizer tests * Remove novograd.py impl as it was messy, keep nvnovograd * Make AdamP/SGDP work in channels_last layout * Add rectified adablief mode (radabelief) * Support a few more PyTorch optim, adamax, adagrad	3 years ago
Sepehr Sameni	abf3e044bb	Update scheduler_factory.py ... remove duplicate code from create_scheduler()	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 ... Specify "interpolation" mode in vision_transformer's resize_pos_embed	3 years ago
Ross Wightman	2907c1f967	Merge pull request #746 from samarth4149/master ... Adding a Multi Step LR Scheduler	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