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
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Update convit.py
3 years ago
Ross Wightman
4907f8f70d
Merge pull request #685 from dyhan0920/master
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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
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Cut out the duplicates
3 years ago
Ross Wightman
54a6cca27a
Merge pull request #668 from rwightman/more_attn
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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.
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
17dc47c8e6
Missed comma in test filters.
3 years ago
Ross Wightman
34522097b1
See if we can use tcmalloc in test runner
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
07d952c7a7
Merge pull request #637 from rwightman/levit_visformer_rednet
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LeVit, Visformer, RedNet/Involution models and layers
3 years ago
Ross Wightman
7f368782b7
Merge pull request #660 from petervandenabeele/readme_fix_typos
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README: fix simple typos
3 years ago
Ross Wightman
5db7452173
Fix visformer in_chans stem handling
3 years ago
Peter Vandenabeele
51c432150a
README: fix simple typos
3 years ago
Ross Wightman
fd92ba0de8
Filter large vit models from torchscript tests
3 years ago
Ross Wightman
318360c3f9
Update README.md before merge. Bump version to 0.4.10
3 years ago
Ross Wightman
99d97e0d67
Hopefully the last test update for this PR...
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.
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
Ross Wightman
23c18a33e4
Add efficientnetv2_rw_m weights trained in PyTorch. 84.8 top-1 @ 416 test. 53M params.
4 years ago
Ross Wightman
c2ba229d99
Prep for effcientnetv2_rw_m model weights that started training before official release..
4 years ago
Ross Wightman
22f7c6760f
Merge branch 'alexander-soare-master'
4 years ago
Ross Wightman
30b9880d06
Minor adjustment, mutable default arg, extra check of valid len...
4 years ago
Ross Wightman
be0abfbcce
Merge branch 'master' of https://github.com/alexander-soare/pytorch-image-models into alexander-soare-master
4 years ago
Ross Wightman
d4c00d6150
Merge branch 'amaarora-convit'
4 years ago
Ross Wightman
b7de82e835
ConViT cleanup, fix torchscript, bit of reformatting, reuse existing layers.
4 years ago
Ross Wightman
306c86b668
Merge branch 'convit' of https://github.com/amaarora/pytorch-image-models into amaarora-convit
4 years ago