74366f733c
Delete distributed_train_adabelief.sh
2021-04-05 15:11:45 -04:00
1d848f409a
Delete args.yaml
2021-04-05 15:11:35 -04:00
addfc7c1ac
adabelief
2021-04-04 23:48:15 -04:00
fb896c0b26
Update some comments re preliminary EfficientNet-V2 assumptions
2021-04-03 12:00:25 -07:00
2b49ab7a36
Fix ResNetV2 pretrained classifier issue. Fixes #540
2021-04-03 11:18:12 -07:00
de9dff933a
EfficientNet-V2S preliminary model def (for experimentation)
2021-04-02 09:36:51 -07:00
d5ed58d623
Merge pull request #533 from rwightman/pit_and_vit_update
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Addition of PiT models and update/cleanup of ViT, new NFNet weight, TFDS wrapper fix, few misc fixes/updates
2021-04-01 22:56:59 -07:00
37c71a5609
Some further create_optimizer_v2 tweaks, remove some redudnant code, add back safe model str. Benchmark step times per batch.
2021-04-01 22:34:55 -07:00
2bb65bd875
Wrong default_cfg pool_size for L1
2021-04-01 20:00:41 -07:00
bf2ca6bdf4
Merge jax and original weight init
2021-04-01 18:11:51 -07:00
acbd698c83
Update README.md with updates. Small tweak to head_dist handling.
2021-04-01 17:49:05 -07:00
9071568f0e
Add weights for SE NFNet-L0 model, rename nfnet_l0b -> nfnet_l0. 82.75 top-1 @ 288. Add nfnet_l1 model def for training.
2021-04-01 17:22:27 -07:00
c468c47a9c
Add regnety_160 weights from DeiT teacher model, update that and my regnety_032 weights to use higher test size.
2021-04-01 16:41:04 -07:00
288682796f
Update benchmark script to add precision arg. Fix some downstream (DeiT) compat issues with latest changes. Bump version to 0.4.7
2021-04-01 16:40:12 -07:00
ea9c9550b2
Fully move ViT hybrids to their own file, including embedding module. Remove some extra DeiT models that were for benchmarking only.
2021-04-01 14:17:38 -07:00
a5310a3451
Merge remote-tracking branch 'origin/benchmark-fixes-vit_hybrids' into pit_and_vit_update
2021-04-01 12:15:34 -07:00
7953e5d11a
Fix pos_embed scaling for ViT and num_classes != 1000 for pretrained distilled deit and pit models. Fix #426 and fix #433
2021-03-31 23:11:28 -07:00
a760a4c3f4
Some ViT cleanup, merge distilled model with main, fixup torchscript support for distilled models
2021-03-31 18:21:02 -07:00
0dfc5a66bb
Add PiT model from https://github.com/naver-ai/pit
2021-03-31 18:20:14 -07:00
1ad1645a50
Merge branch 'contrastive-master'
2021-03-29 11:33:32 -07:00
51febd869b
Small tweak to tests for tnt model, reorder model imports.
2021-03-29 11:33:08 -07:00
b27a4e0d88
Merge branch 'master' of https://github.com/contrastive/pytorch-image-models into contrastive-master
2021-03-29 10:37:05 -07:00
2319cbbff2
Merge pull request #525 from amaarora/spp
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Add `ActivationStatsHook` to allow extracting activation stats for Signal Propogation Plots
2021-03-29 08:36:04 -07:00
6b18061773
Add GIST to docstring for quick access
2021-03-29 15:33:31 +11:00
809271b0f3
Update test_models.py
2021-03-29 09:39:50 +08:00
de86314655
Update TNT
2021-03-29 08:23:34 +08:00
92b1db9a79
update docstrings and add check on and
2021-03-29 10:04:51 +11:00
b85be24054
update to work with fnmatch
2021-03-29 09:36:31 +11:00
cfc15283a4
Update TNT url
2021-03-28 23:19:15 +08:00
4a09bc851e
Add TNT model
2021-03-28 19:53:42 +08:00
20626e8387
Add to extract stats for SPP
2021-03-27 05:40:04 +11:00
a2727c1bf7
Merge pull request #510 from rwightman/dependabot/pip/jinja2-2.11.3
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Bump jinja2 from 2.11.2 to 2.11.3
2021-03-20 16:45:53 -07:00
e2e3290fbf
Add '--experiment' to train args for fixed exp name if desired, 'train' not added to output folder if specified.
2021-03-20 12:02:17 -07:00
cf5fec5047
Cleanup experimental vit weight init a bit
2021-03-20 09:44:24 -07:00
b36099ace3
Bump jinja2 from 2.11.2 to 2.11.3
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Bumps [jinja2](https://github.com/pallets/jinja ) from 2.11.2 to 2.11.3.
- [Release notes](https://github.com/pallets/jinja/releases )
- [Changelog](https://github.com/pallets/jinja/blob/master/CHANGES.rst )
- [Commits](https://github.com/pallets/jinja/compare/2.11.2...2.11.3 )
Signed-off-by: dependabot[bot] <support@github.com>
2021-03-20 05:50:25 +00:00
f42f1df26c
Improve evenness of per-worker split for validation set with TFDS
2021-03-18 23:16:14 -07:00
cbcb76d72c
Should have included Conv2d layers in original weight init. Lets see what the impact is...
2021-03-18 23:15:48 -07:00
4de57ccf01
Add weight init scheme that's closer to JAX impl
2021-03-18 15:35:22 -07:00
14ac4abf74
Change huggingface hub revision delimiter to '@', add hf_hub reference for eca_nfnet_l0 model as an example.
2021-03-18 11:38:06 -07:00
740f32c96a
Add ECA-NFNet-L0 weights and update model name. Update README and bump version to 0.4.6
2021-03-17 13:55:32 -07:00
5e2e4e7fb6
Merge pull request #502 from khatami-mehrdad/efficientnet_dg
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adding efficientnet_el, efficientnet_es_pruned and efficientnet_el_pruned pre-trained models
2021-03-17 13:35:22 -07:00
3eac7dc5a3
Merge pull request #501 from rwightman/hf_hub_revisit
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Support for huggingface hub via create_model and default_cfgs.
2021-03-17 13:26:50 -07:00
45c048ba13
A few minor fixes and bit more cleanup on the huggingface hub integration.
2021-03-17 13:18:52 -07:00
97f49d163c
adding efficientnet_el, efficientnet_es_prunedefficientnet_es_pruned and efficientnet_el_pruned pretrained models to timm/models
2021-03-17 10:51:51 -07:00
ead80d33c5
Fix typo, naming consistency
2021-03-16 23:02:51 -07:00
d584e7f617
Support for huggingface hub via create_model and default_cfgs.
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* improve consistency of model creation helper fns
* add comments to some of the model helpers
* support passing external default_cfgs so they can be sourced from hub
2021-03-16 22:48:26 -07:00
e5ba5dcbc9
Merge branch 'yoniaflalo-adding_Hardcore_NAS'
2021-03-15 10:21:18 -07:00
1f799afcb3
Remove capital letters in model names
2021-03-15 10:20:34 -07:00
52b5d0ad0a
Merge branch 'adding_Hardcore_NAS' of https://github.com/yoniaflalo/pytorch-image-models into yoniaflalo-adding_Hardcore_NAS
2021-03-15 09:37:25 -07:00
82c1fe958a
added hardcorenas model
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refactoring to support feature extraction
2021-03-15 08:06:34 +02:00
Juntang Zhuang
juntang
Ross Wightman
Ross Wightman
Aman Arora
contrastive
dependabot[bot]
Mehrdad
AFLALO, Jonathan Isaac