1671 Commits (e520553e3e6f67afc495b3d394afc04ae54ba3cd)

 

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Author	SHA1	Message	Date
Ross Wightman	0020268d9b	Try lower max size for non_std default_cfg test	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	07fb05cc3d	Update results csv files	3 years ago
Ross Wightman	b79dfd4fc2	Merge pull request #693 from SamuelGabriel/patch-1 ... Let only the _globally_ 0th rank write checkpoints in `train.py`	3 years ago
SamuelGabriel	7c19c35d9f	Global instead of local rank.	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	758c4438a7	Update README.md	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
Ross Wightman	4907f8f70d	Merge pull request #685 from dyhan0920/master ... Update rexnet.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	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
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.	4 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.	4 years ago
Ross Wightman	07d952c7a7	Merge pull request #637 from rwightman/levit_visformer_rednet ... LeVit, Visformer, RedNet/Involution models and layers	4 years ago
Ross Wightman	7f368782b7	Merge pull request #660 from petervandenabeele/readme_fix_typos ... README: fix simple typos	4 years ago
Ross Wightman	5db7452173	Fix visformer in_chans stem handling	4 years ago
Peter Vandenabeele	51c432150a	README: fix simple typos	4 years ago
Ross Wightman	fd92ba0de8	Filter large vit models from torchscript tests	4 years ago
Ross Wightman	318360c3f9	Update README.md before merge. Bump version to 0.4.10	4 years ago
Ross Wightman	99d97e0d67	Hopefully the last test update for this PR...	4 years ago
Ross Wightman	11ae795e99	Redo LeViT attention bias caching in a way that works with both torchscript and DataParallel	4 years ago
Ross Wightman	d400f1dbdd	Filter test models before creation for backward/torchscript tests	4 years ago
Ross Wightman	c4572cc5aa	Add Visformer-small weighs, tweak torchscript jit test img size.	4 years ago
Ross Wightman	83487e2a0d	Lower max backward size for tests.	4 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.	4 years ago
Ross Wightman	18bf520ad1	Add eca_nfnet_l2/l3 defs for future training	4 years ago
Ross Wightman	f45de37690	Merge branch 'master' into levit_visformer_rednet	4 years ago