c16d65a8a7
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
2021-05-11 10:50:46 -07:00
4fbc32d3d0
Fix crop_pct for cait models.
2021-05-11 10:50:15 -07:00
715519a5ef
Rethink name of patch embed grid info
2021-05-06 14:08:20 -07:00
b2c305c2aa
Move Mlp and PatchEmbed modules into layers. Being used in lots of models now...
2021-05-06 14:03:23 -07:00
3ba6b55cb2
More adjustments to ByoaNet models for further experiments.
2021-05-06 13:59:44 -07:00
f480734ad5
Update README.md
2021-05-05 23:17:35 -07:00
504fef4bc1
Merge pull request #609 from rwightman/cait
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CaiT transformer model
2021-05-05 18:00:22 -07:00
d45e50b9db
Update test for cait 448x448 model
2021-05-05 17:51:23 -07:00
5fcddb96a8
Merge branch 'master' into cait
2021-05-05 17:29:38 -07:00
3db12b4b6a
Finish CaiT cleanup
2021-05-05 17:28:19 -07:00
936e9b331d
Merge pull request #613 from rwightman/mlp-mixer
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MLP-Mixer models w/ pretrained weights ported from Google JAX impl...
2021-05-05 16:59:29 -07:00
2d8b09fe8b
Add official pretrained weights to MLP-Mixer, complete model cfgs.
2021-05-05 15:59:40 -07:00
12efffa6b1
Initial MLP-Mixer attempt...
2021-05-05 00:59:45 -07:00
0721559511
Improved (hopefully) init for SA/SA-like layers used in ByoaNets
2021-05-04 21:40:39 -07:00
d5473c17f7
Fix incorrect name of shortcut/identity paths in many residual nets. Inherited from naming in old old torchvision, long fixed there.
2021-05-04 21:27:15 -07:00
0d87650fea
Remove filter hack from BlurPool w/ non-persistent buffer. Use BlurPool2d instead of AntiAliasing.. for TResNet. Breaks PyTorch < 1.6.
2021-05-04 16:56:28 -07:00
ddc743fdf8
Update ResNet-RS models to EMA weights
2021-05-04 16:16:55 -07:00
08d60f4a9a
resnetrs50 pool sizing wrong
2021-05-04 12:41:09 -07:00
137a374930
Merge pull request #555 from MichaelMonashev/patch-1
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benchmark.py argument description fixed
2021-05-04 11:44:01 -07:00
1daa15ecc3
Initial Cait commit. Still some cleanup to do.
2021-05-04 11:19:27 -07:00
67d0665b46
Post ResNet-RS merge cleanup. Add weight urls, adjust train/test/crop pct.
2021-05-04 11:04:23 -07:00
560eae38f5
[WIP] Add ResNet-RS models ( #554 )
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* Add ResNet-RS models
* Only include resnet-rs changes
* remove whitespace diff
* EOF newline
* Update time
* increase time
* Add first conv
* Try running only resnetv2_101x1_bitm on Linux runner
* Add to exclude filter
* Run test_model_forward_features for all
* Add to exclude ftrs
* back to defaults
* only run test_forward_features
* run all tests
* Run all tests
* Add bigger resnetrs to model filters to fix Github CLI
* Remove resnetv2_101x1_bitm from exclude feat features
* Remove hardcoded values
* Make sure reduction ratio in resnetrs is 0.25
* There is no bias in replaced maxpool so remove it
2021-05-04 10:59:44 -07:00
9cc7dda6e5
Fixup byoanet configs to pass unit tests. Add swin_attn and swinnet26t model for testing.
2021-04-29 21:08:37 -07:00
e15c3886ba
Defaul lambda r=7. Define '26t' stage 4/5 256x256 variants for all of bot/halo/lambda nets for experiment. Add resnet50t for exp. Fix a few comments.
2021-04-29 10:58:49 -07:00
d15ad3e919
Merge branch 'morizin-master'
2021-04-28 18:10:12 -07:00
e5e15754c9
Fix coat first conv ident
2021-04-28 18:09:23 -07:00
76739a7589
CoaT merge. Bit of formatting, fix torchscript (for non features), remove einops/einsum dep, add pretrained weight hub (url) support.
2021-04-28 16:31:35 -07:00
026430c083
Merge branch 'master' of https://github.com/morizin/pytorch-image-models-1 into morizin-master
2021-04-28 11:24:27 -07:00
c03e45cbf3
Merge branch 'mrT23-master'
2021-04-28 10:33:48 -07:00
a0492e3b48
A few miil weights naming tweaks to improve compat with model registry and filtering wildcards.
2021-04-28 10:33:02 -07:00
8c1f03e56c
comment
2021-04-28 09:04:10 +03:00
19e1b67a84
old spaces
2021-04-28 09:01:29 +03:00
a443865876
update naming and scores
2021-04-28 08:57:06 +03:00
cf0e371594
84_0
2021-04-27 22:33:55 +03:00
0968bdeca3
vit, tresnet and mobilenetV3 ImageNet-21K-P weights
2021-04-27 20:54:06 +03:00
b81cd75eea
Merge pull request #3 from rwightman/master
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merge base
2021-04-27 18:49:25 +03:00
1e3b6d4dfc
Update __init__.py
2021-04-24 18:22:59 +05:30
fd022fd6a2
Update __init__.py
2021-04-24 18:22:36 +05:30
06841427cd
Add files via upload
2021-04-24 18:11:28 +05:30
c2d5087eae
Add files via upload
2021-04-24 17:47:57 +05:30
9a1bd358c7
Merge pull request #571 from normster/augmix-fix
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Enable uniform augmentation magnitude sampling and set AugMix default
2021-04-19 16:18:36 -07:00
79640fcc1f
Enable uniform augmentation magnitude sampling and set AugMix default
2021-04-19 14:21:12 -07:00
c1cf9712fc
Add updated EfficientNet-V2S weights, 83.8 @ 384x384 test. Add PyTorch trained EfficientNet-B4 weights, 83.4 @ 384x384 test. Tweak non TF EfficientNet B1-B4 train/test res scaling.
2021-04-19 10:42:56 -07:00
e8a64fb881
Test input size for efficientnet_v2s was wrong in last results run
2021-04-17 16:17:41 -07:00
a04427d8ce
Add _in22k to bulk validate filter
2021-04-17 12:18:03 -07:00
af647c10b3
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
2021-04-17 12:18:03 -07:00
e15e68d881
Fix #566 , summary.csv writing to pwd on local_rank != 0. Tweak benchmark mem handling to see if it reduces likelihood of 'bad' exceptions on OOM.
2021-04-15 23:03:56 -07:00
1b0c8e7b01
Merge branch 'iamhankai-master'
2021-04-15 10:22:42 -07:00
2df77ee5cb
Fix torchscript compat and features_only behaviour in GhostNet PR. A few minor formatting changes. Reuse existing layers.
2021-04-15 10:20:26 -07:00
d793deb51a
Merge branch 'master' of https://github.com/iamhankai/pytorch-image-models into iamhankai-master
2021-04-15 09:30:25 -07:00
Ross Wightman
Ross Wightman
Aman Arora
talrid
mrT23
morizin
Norman Mu