3581affb77
Update train.py with some flags related to scheduler tweaks, fix best checkpoint bug.
3 years ago
c2f02b08b8
Merge remote-tracking branch 'origin/attn_update' into bits_and_tpu
3 years ago
5bd04714e4
Cleanup weight init for byob/byoanet and related
3 years ago
8642401e88
Swap botnet 26/50 weights/models after realizing a mistake in arch def, now figuring out why they were so low...
3 years ago
5f12de4875
Add initial AttentionPool2d that's being trialed. Fix comment and still trying to improve reliability of sgd test.
3 years ago
76881d207b
Add baseline resnet26t @ 256x256 weights. Add 33ts variant of halonet with at least one halo in stage 2,3,4
3 years ago
484e61648d
Adding the attn series weights, tweaking model names, comments...
3 years ago
0639d9a591
Fix updated validation_batch_size fallback
3 years ago
5db057dca0
Fix misnamed arg, tweak other train script args for better defaults.
3 years ago
fb94350896
Update training script and loader factory to allow use of scheduler updates, repeat augment, and bce loss
3 years ago
f262137ff2
Add RepeatAugSampler as per DeiT RASampler impl, showing promise for current (distributed) training experiments.
3 years ago
ba9c1108a1
Add a BCE loss impl that converts dense targets to sparse /w smoothing as an alternate to CE w/ smoothing. For training experiments.
3 years ago
29a37e23ee
LR scheduler update:
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* add polynomial decay 'poly'
* cleanup cycle specific args for cosine, poly, and tanh sched, t_mul -> cycle_mul, decay -> cycle_decay, default cycle_limit to 1 in each opt
* add k-decay for cosine and poly sched as per https://arxiv.org/abs/2004.05909
* change default tanh ub/lb to push inflection to later epochs
3 years ago
492c0a4e20
Update HaloAttn comment
3 years ago
3b9032ea48
Use Tensor.unfold().unfold() for HaloAttn, fast like as_strided but more clarity
3 years ago
fc894c375c
Another attempt at sgd momentum test passing...
3 years ago
2568ffc5ef
Merge branch 'master' into attn_update
3 years ago
708d87a813
Fix ViT SAM weight compat as weights at URL changed to not use repr layer. Fix #825 . Tweak optim test.
3 years ago
8449ba210c
Improve performance of HaloAttn, change default dim calc. Some cleanup / fixes for byoanet. Rename resnet26ts to tfs to distinguish (extra fc).
3 years ago
f2e14685a8
Add force-cpu flag for train/validate, fix CPU fallback for device init, remove old force cpu flag for EMA model weights
3 years ago
a8b65695f1
Add resnet26ts and resnext26ts models for non-attn baselines
3 years ago
a5a542f17d
Fix typo
3 years ago
925e102982
Update attention / self-attn based models from a series of experiments:
...
* remove dud attention, involution + my swin attention adaptation don't seem worth keeping
* add or update several new 26/50 layer ResNe(X)t variants that were used in experiments
* remove models associated with dead-end or uninteresting experiment results
* weights coming soon...
3 years ago
acd6c687fd
git push origin masterMerge branch 'yohann84L-fix_accuracy'
3 years ago
d667351eac
Tweak accuracy topk safety. Fix #807
3 years ago
2ee398d501
Merge branch 'master' into bits_and_tpu
3 years ago
35c9740826
Fix accuracy when topk > num_classes
3 years ago
a16a753852
Add lamb/lars to optim init imports, remove stray comment
3 years ago
c207e02782
MOAR optimizer changes. Woo!
3 years ago
42c1f0cf6c
Fix lars tests
3 years ago
f4fb068b11
Merge branch 'master' into bits_and_tpu
3 years ago
a426511c95
More optimizer cleanup. Change all to no longer use .data. Improve (b)float16 use with adabelief. Add XLA compatible Lars.
3 years ago
b0265ef8a6
Merge branch 'master' into bits_and_tpu
3 years ago
9541f4963b
One more scalar -> tensor fix for lamb optimizer
3 years ago
0d82876132
Add comment for reference re PyTorch XLA 'race' issue
3 years ago
b76b48e8e9
Update optimizer creation for master optimizer changes
3 years ago
f98662b9c9
Merge branch 'master' into bits_and_tpu
3 years ago
8f68193c91
Update lamp.py comment
3 years ago
4d284017b8
Merge pull request #813 from rwightman/opt_cleanup
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Optimizer cleanup and additions
3 years ago
a6af48be64
add madgradw optimizer
3 years ago
55fb5eedf6
Remove experiment from lamb impl
3 years ago
8a9eca5157
A few optimizer comments, dead import, missing import
3 years ago
959eaff121
Add optimizer tests and update testing to pytorch 1.9
3 years ago
ac469b50da
Optimizer improvements, additions, cleanup
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* Add MADGRAD code
* Fix Lamb (non-fused variant) to work w/ PyTorch XLA
* Tweak optimizer factory args (lr/learning_rate and opt/optimizer_name), may break compat
* Use newer fn signatures for all add,addcdiv, addcmul in optimizers
* Use upcoming PyTorch native Nadam if it's available
* Cleanup lookahead opt
* Add optimizer tests
* Remove novograd.py impl as it was messy, keep nvnovograd
* Make AdamP/SGDP work in channels_last layout
* Add rectified adablief mode (radabelief)
* Support a few more PyTorch optim, adamax, adagrad
3 years ago
368211d19a
Merge pull request #805 from Separius/patch-1
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Remove duplicate code in create_scheduler
3 years ago
abf3e044bb
Update scheduler_factory.py
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remove duplicate code from create_scheduler()
3 years ago
cb621e0f00
Remove print, arg order
3 years ago
b974d85026
Merge branch 'bits_and_tpu' of github.com:rwightman/pytorch-image-models into bits_and_tpu
3 years ago
c06c739901
Merge branch 'master' into bits_and_tpu
3 years ago
40457e5691
Transforms, augmentation work for bits, add RandomErasing support for XLA (pushing into transforms), revamp of transform/preproc config, etc ongoing...
3 years ago
Ross Wightman