015fbe457a
Merge branch 'MengqingCao-npu_support' into device_amp_cleanup
2024-10-18 14:50:44 -07:00
81b59faf77
Merge branch 'npu_support' of github.com:MengqingCao/pytorch-image-models into MengqingCao-npu_support
2024-10-18 14:50:00 -07:00
1766a01f96
Cleanup some amp related behaviour to better support different (non-cuda) devices
2024-10-18 13:54:16 -07:00
37c731ca37
fix device check
2024-10-17 12:38:02 +00:00
ca20e102fe
mambaout.py: fixed bug
2024-10-17 01:03:28 +03:30
8cb2548962
Version 1.0.11
2024-10-16 14:14:44 -07:00
89dffc5ff0
Another small fix for original mambaout models, no classifier nn.Linear when num_classe=0 on init
2024-10-16 12:36:36 -07:00
fad4538801
Elevate import deprecation warnings from DeprecationWarning to FutureWarning so messages are now seen
2024-10-16 11:30:01 -07:00
a1f379e712
Add intern300m vit w/ converted timm weights. Fix #2300
2024-10-16 10:29:06 -07:00
234f975787
add npu support
2024-10-16 07:13:45 +00:00
60f517c883
Fix wrong name in _all_ for models._registry
2024-10-15 07:39:46 -07:00
b4a9a166c3
Version 1.0.10
2024-10-14 21:40:30 -07:00
c3052fa19e
Merge pull request #2298 from huggingface/preact_resnet18
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Add resnet18/18d pre-act model configs for potential training.
2024-10-14 19:39:04 -07:00
abdf33145c
Add 34/34d pre-act resnet variants
2024-10-14 13:23:50 -07:00
c82ce86f8f
Add 384x384 mambaout_base_plus model weights
2024-10-14 12:28:57 -07:00
82ae247879
MambaOut weights on hub, configs finalized
2024-10-11 11:07:40 -07:00
7efb60c299
Add first_conv for mambaout
2024-10-09 14:11:40 -07:00
5dc5ee5b42
Add global_pool to mambaout __init__ and pass to heads
2024-10-09 14:11:40 -07:00
9d1dfe8dbe
Incorrectly named head_hidden_size
2024-10-09 14:11:40 -07:00
91e743f2dd
Mambaout tweaks
2024-10-09 14:11:40 -07:00
4542cf03f9
Add features_only, other bits to mambaout, define different base alternatives
2024-10-09 14:11:40 -07:00
c2da12c7e1
Update rw models, fix heads
2024-10-09 14:11:40 -07:00
f2086f51a0
Add mambaout builder support, pretrained weight remap
2024-10-09 14:11:40 -07:00
c6ef54eefa
Initial mambaout work
2024-10-09 14:11:40 -07:00
d9321b0e10
Add weights for fine-tuned siglip so400m. Add webli_i18n pretrained tags for the multi-lingual model variants (incl older base)
2024-10-09 09:04:44 -07:00
01b62264af
Add i18n variant of so400m model w/ weights. Add two in1k fine-tunes of original so400m 384x384 but at 378x378 (better matches patch14)
2024-10-08 23:40:24 -07:00
72f0edb7e8
missed first_conv for rnv2 18d
2024-10-08 12:38:54 -07:00
3ed603a2ce
Add resnet18/18d pre-act model configs for potential training. Fix #2289
2024-10-08 11:28:07 -07:00
41a79e0fcb
Add overlapped stem convnext zepto weights
2024-10-08 11:26:34 -07:00
545bd4056c
Tag along test_vit3 weights
2024-09-30 12:03:32 -07:00
69b687d4cc
Add zepto weights
2024-09-30 11:43:23 -07:00
c6e5557a5a
Mismatch pretrained_cfg
2024-09-30 11:43:23 -07:00
5d7bd2973e
convnext zepto, rmsnorm experiments
2024-09-30 11:43:23 -07:00
e3242a5258
Merge pull request #2277 from huggingface/more_tiny_test_models
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Adding some more tiny test models to train...
2024-09-22 10:28:29 -07:00
c1cb5641c7
Add weight fore mobilenetv4 small 0.5, change 0.25 -> 0.35
2024-09-22 10:27:01 -07:00
a22ce0a329
Merge branch 'patch-1' of https://github.com/baorepo/pytorch-image-models into baorepo-patch-1
2024-09-22 10:14:35 -07:00
9067be6a30
Add weights for new tiny test models
2024-09-22 07:59:23 -07:00
65564f7da5
Fix reversed H & W padding for swin patch merging
2024-09-21 16:51:02 -07:00
a2f539f055
Add a few more test model defs in prep for weight upload
2024-09-21 11:38:38 -07:00
6ab2af610d
Adding some more tiny test models to train
2024-09-06 15:35:57 -07:00
d6b8816eda
MobilenetV4: add two more lightweight models
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Mobilenetv4 is very fast and ideal for embedded devices. However, for many low-cost, low-power embedded MCU devices, smaller models are required. Hopefully this PR will merge.
2024-09-05 02:34:11 +00:00
f81cbdcca9
Merge pull request #2274 from huggingface/bulk_runner_tweaks
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Better all res resolution for bulk runner
2024-09-03 12:11:56 -07:00
6c42299b3e
Back to dev version
2024-09-03 10:29:05 -07:00
a50713ce6e
Fix #2272
2024-09-02 13:20:05 -07:00
ebbe530ee4
Add MobileNetV3 RA4 (mnv4 recipe) weights
2024-09-02 13:10:34 -07:00
fa4a1e597f
Better all res resolution for bulk runner
2024-08-26 22:28:01 -07:00
072783331f
Version 1.0.9
2024-08-23 11:47:42 -07:00
76b0e9931a
Placeholder for new mnv3 model
2024-08-23 10:11:20 -07:00
39e92f0c0d
mobilenet_edgetpu can use group_size override, more consistency in arg wrap/sadface w/ extra group_size arg
2024-08-22 11:44:02 -07:00
b9f020a509
Allow group_size override for more efficientnet and mobilenetv3 based models
2024-08-21 16:51:38 -07:00
Ross Wightman
MengqingCao
Feraidoon Mehri
Ross Wightman
alias pillar1989