1737 Commits (848d200767f4b0472fcdef5f25e74f766e233922)

 

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Author	SHA1	Message	Date
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
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	4 years ago
Ross Wightman	dc422820ec	Update README.md	4 years ago
Ross Wightman	79927baaec	Merge pull request #702 from rwightman/cleanup_xla_model_fixes ... AugReg Vision Transformers, XLA model compat for ResNetV2-BiT / NFNet, ECA-NFNet-L2, GMixer-24 weights, ResMLP official weights, and cleanup	4 years ago
Ross Wightman	9c9755a808	AugReg release	4 years ago
Ross Wightman	381b279785	Add hybrid model fwds back	4 years ago
Ross Wightman	26f04a8e3e	Fix a weight link	4 years ago
Ross Wightman	8f4a0222ed	Add GMixer-24 MLP model weights, trained w/ TPU + PyTorch XLA	4 years ago
Ross Wightman	4c09a2f169	Bump version 0.4.12	4 years ago
Ross Wightman	b319eb5b5d	Update ViT weights, more details to be added before merge.	4 years ago
Ross Wightman	8257b86550	Fix up resnetv2 bit/bitm model default res	4 years ago
Ross Wightman	1228f5a3d8	Add BiT distilled 50x1 and teacher 152x2 models from 'A good teacher is patient and consistent' paper.	4 years ago
Ross Wightman	511a8e8c96	Add official ResMLP weights.	4 years ago
Ross Wightman	b9cfb64412	Support npz custom load for vision transformer hybrid models. Add posembed rescale for npz load.	4 years ago
Ross Wightman	8319e0c373	Add file docstring to std_conv.py	4 years ago
Ross Wightman	0020268d9b	Try lower max size for non_std default_cfg test	4 years ago
Ross Wightman	4d96165989	Merge branch 'master' into cleanup_xla_model_fixes	4 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	4 years ago
Ross Wightman	ba2ca4b464	One codepath for stdconv, switch layernorm to batchnorm so gain included. Tweak epsilon values for nfnet, resnetv2, vit hybrid.	4 years ago
Ross Wightman	07fb05cc3d	Update results csv files	4 years ago
Ross Wightman	b79dfd4fc2	Merge pull request #693 from SamuelGabriel/patch-1 ... Let only the _globally_ 0th rank write checkpoints in `train.py`	4 years ago
SamuelGabriel	7c19c35d9f	Global instead of local rank.	4 years ago
Ross Wightman	b7a568f065	Fix torchscript issue in bat	4 years ago
Ross Wightman	d17b374f0f	Minimum input_size needed to be higher	4 years ago
Ross Wightman	b3b90d944d	Add min_input_size to bat_resnext to prevent test breakage.	4 years ago
Ross Wightman	758c4438a7	Update README.md	4 years ago
Ross Wightman	d413eef1bf	Add ResMLP-24 model weights that I trained in PyTorch XLA on TPU-VM. 79.2 top-1.	4 years ago
Ross Wightman	10d8fa4620	Add gc and bat attention resnext26ts variants to byob for test.	4 years ago
Ross Wightman	2f5ed2dec1	Update `init_values` const for 24 and 36 layer ResMLP models	4 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.	4 years ago
Ross Wightman	2a63d0246b	Post merge cleanup	4 years ago
Ross Wightman	45dec179e5	Merge pull request #681 from lmk123568/master ... Update convit.py	4 years ago
Ross Wightman	4907f8f70d	Merge pull request #685 from dyhan0920/master ... Update rexnet.py	4 years ago
Dongyoon Han	ded1671483	Fix stochastic depth working only with a shortcut	4 years ago
Mike	b87d98b238	Update convit.py ... Cut out the duplicates	4 years ago
Ross Wightman	54a6cca27a	Merge pull request #668 from rwightman/more_attn ... Add Gather-Excite, Global Context, BAT, Non-Local attn modules and refactored all attn modules and factory for improved consistency. EfficientNet / MobileNetV3 backbones able to use a wider variety of attention modules.	4 years ago
Ross Wightman	02320c3e3d	Bump version to 0.4.11	4 years ago
Ross Wightman	bda8ab015a	Remove min channels for SelectiveKernel, divisor should cover cases well enough.	4 years ago
Ross Wightman	a27f4aec4a	Missed args for skresnext w/ refactoring.	4 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.	4 years ago
Ross Wightman	17dc47c8e6	Missed comma in test filters.	4 years ago
Ross Wightman	34522097b1	See if we can use tcmalloc in test runner	4 years ago
Ross Wightman	8bf63b6c6c	Able to use other attn layer in EfficientNet now. Create test ECA + GC B0 configs. Make ECA more configurable.	4 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.	4 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.	4 years ago
Ross Wightman	01b9108619	Merge branch 'master' into more_attn	4 years ago
Ross Wightman	d7bab8a6c5	Fix strict flag change for checkpoint load.	4 years ago
Ross Wightman	02f9d4bc34	Add weights for resnet51q model, add 61q def.	4 years ago
Ross Wightman	f615474be3	Fix broken test, repvgg block doesn't have attn_last attr.	4 years ago