28e0152043
Add --no-retry flag to benchmark.py to skip batch_size decay and retry on error. Fix #1226 . Update deepspeed profile usage for latest DS releases. Fix # 1333
2022-07-07 15:13:06 -07:00
11060f84c5
make train.py compatible with torchrun
2022-07-07 14:44:55 -07:00
db0cee9910
Refactor cspnet configuration using dataclasses, update feature extraction for new cs3 variants.
2022-07-07 14:43:27 -07:00
eca09b8642
Add MobileVitV2 support. Fix #1332 . Move GroupNorm1 to common layers (used in poolformer + mobilevitv2). Keep ol custom ConvNeXt LayerNorm2d impl as LayerNormExp2d for reference.
2022-07-07 14:41:01 -07:00
06307b8b41
Remove experimental downsample in block support in ConvNeXt. Experiment further before keeping it in.
2022-07-07 14:37:58 -07:00
bfc0dccb0e
Improve image extension handling, add methods to modify / get defaults. Fix #1335 fix #1274 .
2022-07-07 14:23:20 -07:00
7d4b3807d5
Support DeiT-3 (Revenge of the ViT) checkpoints. Add non-overlapping (w/ class token) pos-embed support to vit.
2022-07-04 22:25:22 -07:00
d0c5bd5722
Rename cs2->cs3 for darknets. Fix features_only for cs3 darknets.
2022-07-03 08:32:41 -07:00
d765305821
Remove first_conv for resnetaa50 def
2022-07-02 15:56:17 -07:00
dd9b8f57c4
Add feature_info to edgenext for features_only support, hopefully fix some fx / test errors
2022-07-02 15:20:45 -07:00
377e9bfa21
Add TPU trained darknet53 weights. Add mising pretrain_cfg for some csp/darknet models.
2022-07-02 15:18:52 -07:00
c170ba3173
Add weights for resnet10t, resnet14t, and resnetaa50 models. Fix #1314
2022-07-02 15:18:06 -07:00
188c194b0f
Left some experiment stem code in convnext by mistake
2022-07-02 15:17:28 -07:00
70d6d2c484
support test_crop_size in data config resolve
2022-07-02 15:17:05 -07:00
6064d16a2d
Add initial EdgeNeXt import. Significant cleanup / reorg (like ConvNeXt). Fix #1320
...
* edgenext refactored for torchscript compat, stage base organization
* slight refactor of ConvNeXt to match some EdgeNeXt additions
* remove use of funky LayerNorm layer in ConvNeXt and just use nn.LayerNorm and LayerNorm2d (permute)
2022-07-01 15:18:42 -07:00
7a9c6811c9
Add eps arg to LayerNorm2d, add 'tf' (tensorflow) variant of trunc_normal_ that applies scale/shift after sampling (instead of needing to move a/b)
2022-07-01 15:15:39 -07:00
82c311d082
Add more experimental darknet and 'cs2' darknet variants (different cross stage setup, closer to newer YOLO backbones) for train trials.
2022-07-01 15:14:01 -07:00
a050fde5cd
Add resnet10t (basic block) and resnet14t (bottleneck) with 1,1,1,1 repeats
2022-07-01 15:03:28 -07:00
34f382f8f6
move dataconfig before script, scripting killing metadata now (PyTorch 1.12? just nvfuser?)
2022-07-01 14:50:36 -07:00
beef62e7ab
Merge pull request #1317 from rwightman/fixes-syncbn_pretrain_cfg_resolve
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Fix SyncBatchNorm for BatchNormAc2d, improve resolve_pretrained_cfg behaviour, other mix fixes.
2022-06-25 07:37:59 -07:00
e6d7df40ec
no longer a point using kwargs for pretrain_cfg resolve, just pass explicit arg
2022-06-24 21:36:23 -07:00
a29fba307d
disable dist_bn when sync_bn active
2022-06-24 21:30:17 -07:00
07d0c4ae96
Improve repr for DropPath module
2022-06-24 14:58:15 -07:00
e27c16b8a0
Remove unecessary code for synbn guard
2022-06-24 14:57:42 -07:00
0da3c9ebbf
Remove SiLU layer in default args that breaks import on old old PyTorch
2022-06-24 14:56:58 -07:00
7d657d2ef4
Improve resolve_pretrained_cfg behaviour when no cfg exists, warn instead of crash. Improve usability ex #1311
2022-06-24 14:55:25 -07:00
879df47c0a
Support BatchNormAct2d for sync-bn use. Fix #1254
2022-06-24 14:51:26 -07:00
7cedc8d474
Follow up to #1256 , fix interpolation warning in auto_autoaugment as well
2022-06-21 14:56:53 -07:00
037e5e6c09
Fix #1309 , move wandb init after distributed init, only init on rank == 0 process
2022-06-21 12:32:40 -07:00
9e12530433
use utils namespace instead of function/classnames
...
This fixes buggy behavior introduced by
https://github.com/rwightman/pytorch-image-models/pull/1266 .
Related to https://github.com/rwightman/pytorch-image-models/pull/1273 .
2022-06-12 22:39:41 -07:00
db64393c0d
use `Image.Resampling` namespace for PIL mapping ( #1256 )
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* use `Image.Resampling` namespace for PIL mapping
PIL shows a deprecation warning when accessing resampling constants via the `Image` namespace. The suggested namespace is `Image.Resampling`. This commit updates `_pil_interpolation_to_str` to use the `Image.Resampling` namespace.
```
/tmp/ipykernel_11959/698124036.py:2: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
Image.NEAREST: 'nearest',
/tmp/ipykernel_11959/698124036.py:3: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
Image.BILINEAR: 'bilinear',
/tmp/ipykernel_11959/698124036.py:4: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
Image.BICUBIC: 'bicubic',
/tmp/ipykernel_11959/698124036.py:5: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
Image.BOX: 'box',
/tmp/ipykernel_11959/698124036.py:6: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
Image.HAMMING: 'hamming',
/tmp/ipykernel_11959/698124036.py:7: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
Image.LANCZOS: 'lanczos',
```
* use new pillow resampling enum only if it exists
2022-06-12 22:30:57 -07:00
db8e33c69f
Merge pull request #1294 from xwang233/add-aot-autograd
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Add AOT Autograd support
2022-06-09 14:32:11 -07:00
2d7ab06503
Move aot-autograd opt after model metadata used to setup data config in benchmark.py
2022-06-09 14:30:21 -07:00
ca991c1fa5
add --aot-autograd
2022-06-07 18:01:52 -07:00
2b2196028f
Add missing output
2022-05-26 19:23:23 +02:00
e4360e6125
Merge pull request #1270 from developer0hye/patch-1
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fix a function parameter typo(cropt_pct -> crop_pct)
2022-05-24 10:40:23 -07:00
57f8361a01
fix a function parameter typo(cropt_pct -> crop_pct)
2022-05-25 00:36:28 +09:00
fd360ac951
Merge pull request #1266 from kaczmarj/enh/no-star-imports
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ENH: replace star imports with imported names in train.py
2022-05-20 08:55:07 -07:00
004fb5f8c4
Merge pull request #1265 from kaczmarj/enh/argparse-groups
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ENH: use argparse groups in training script
2022-05-20 08:54:36 -07:00
ce5578bc3a
replace star imports with imported names
2022-05-18 11:04:10 -04:00
dcad288fd6
use argparse groups to group arguments
2022-05-18 10:27:33 -04:00
e1e4c9bbae
rm whitespace
2022-05-18 10:17:02 -04:00
20a1fa63f8
Make dev version 0.6.2.dev0 for pypi pre
2022-05-15 14:29:57 -07:00
3409bb9156
Update README.md
2022-05-13 15:28:46 -07:00
137292644b
Update README.md
2022-05-13 15:28:04 -07:00
14f370ca1d
Merge pull request #1259 from rwightman/swin_v2
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Official SwinV2 models
2022-05-13 15:10:15 -07:00
347308faad
Update README.md, version to 0.6.2
2022-05-13 13:54:41 -07:00
4b30bae67b
Add updated vit_relpos weights, and impl w/ support for official swin-v2 differences for relpos. Add bias control support for MLP layers
2022-05-13 13:53:57 -07:00
d4c0588012
Remove persistent buffers from Swin-V2. Change SwinV2Cr cos attn + tau/logit_scale to match official, add ckpt convert, init_value zeros resid LN weight by default
2022-05-13 10:50:59 -07:00
27c42f0830
Fix torchscript use for offician Swin-V2, add support for non-square window/shift to WindowAttn/Block
2022-05-13 09:29:33 -07:00
Ross Wightman
Xiao Wang
Ross Wightman
Jakub Kaczmarzyk
lukasugar
Yonghye Kwon