470 Commits (5aca7c01e53e4a2d4c8773d90dd86ed23574d755)

Author	SHA1	Message	Date
Ross Wightman	748ab852ca	Allow act_layer switch for xcit, fix in_chans for some variants	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
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	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. ... * Add eca_nfnet_l2 weights, 84.7 @ 384x384 * All 'non-std' (ie transformer / mlp) models have classifier / default_cfg test added * Fix #694 reset_classifer / num_features / forward_features / num_classes=0 consistency for transformer / mlp models * Add direct loading of npz to vision transformer (pure transformer so far, hybrid to come) * Rename vit_deit* to deit_* * Remove some deprecated vit hybrid model defs * Clean up classifier flatten for conv classifiers and unusual cases (mobilenetv3/ghostnet) * Remove explicit model fns for levit conv, just pass in arg	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
Ross Wightman	2a63d0246b	Post merge cleanup	3 years ago
Ross Wightman	45dec179e5	Merge pull request #681 from lmk123568/master ... Update convit.py	3 years ago
Dongyoon Han	ded1671483	Fix stochastic depth working only with a shortcut	3 years ago
Mike	b87d98b238	Update convit.py ... Cut out the duplicates	3 years ago
Ross Wightman	bda8ab015a	Remove min channels for SelectiveKernel, divisor should cover cases well enough.	3 years ago
Ross Wightman	a27f4aec4a	Missed args for skresnext w/ refactoring.	3 years ago
Ross Wightman	307a935b79	Add non-local and BAT attention. Merge attn and self-attn factories into one. Add attention references to README. Add mlp 'mode' to ECA.	3 years ago
Ross Wightman	8bf63b6c6c	Able to use other attn layer in EfficientNet now. Create test ECA + GC B0 configs. Make ECA more configurable.	3 years ago
Ross Wightman	bcec14d3b5	Bring EfficientNet SE layer in line with others, pull se_ratio outside of blocks. Allows swapping w/ other attn layers.	3 years ago
Ross Wightman	9611458e19	Throw in some FBNetV3 code I had lying around, some refactoring of SE reduction channel calcs for all EffNet archs.	3 years ago