565 Commits (381b2797858248619fe8007fa1c5f5a5d4ab3919)

Author	SHA1	Message	Date
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. ... * 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	02320c3e3d	Bump version to 0.4.11	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
Ross Wightman	01b9108619	Merge branch 'master' into more_attn	3 years ago
Ross Wightman	d7bab8a6c5	Fix strict flag change for checkpoint load.	3 years ago
Ross Wightman	02f9d4bc34	Add weights for resnet51q model, add 61q def.	3 years ago
Ross Wightman	f615474be3	Fix broken test, repvgg block doesn't have attn_last attr.	3 years ago
Ross Wightman	742c2d5247	Add Gather-Excite and Global Context attn modules. Refactor existing SE-like attn for consistency and refactor byob/byoanet for less redundancy.	3 years ago
Ross Wightman	9c78de8c02	Fix #661, move hardswish out of default args for LeViT. Enable native torch support for hardswish, hardsigmoid, mish if present.	3 years ago
Ross Wightman	5db7452173	Fix visformer in_chans stem handling	3 years ago
Ross Wightman	318360c3f9	Update README.md before merge. Bump version to 0.4.10	3 years ago
Ross Wightman	11ae795e99	Redo LeViT attention bias caching in a way that works with both torchscript and DataParallel	3 years ago
Ross Wightman	d400f1dbdd	Filter test models before creation for backward/torchscript tests	3 years ago
Ross Wightman	c4572cc5aa	Add Visformer-small weighs, tweak torchscript jit test img size.	3 years ago
Ross Wightman	bfc72f75d3	Expand scope of testing for non-std vision transformer / mlp models. Some related cleanup and create fn cleanup for all vision transformer and mlp models. More CoaT weights.	3 years ago
Ross Wightman	18bf520ad1	Add eca_nfnet_l2/l3 defs for future training	3 years ago
Ross Wightman	f45de37690	Merge branch 'master' into levit_visformer_rednet	3 years ago
Ross Wightman	23c18a33e4	Add efficientnetv2_rw_m weights trained in PyTorch. 84.8 top-1 @ 416 test. 53M params.	3 years ago
Ross Wightman	c2ba229d99	Prep for effcientnetv2_rw_m model weights that started training before official release..	3 years ago
Ross Wightman	30b9880d06	Minor adjustment, mutable default arg, extra check of valid len...	3 years ago
Ross Wightman	be0abfbcce	Merge branch 'master' of https://github.com/alexander-soare/pytorch-image-models into alexander-soare-master	3 years ago
Ross Wightman	b7de82e835	ConViT cleanup, fix torchscript, bit of reformatting, reuse existing layers.	3 years ago