f225ae8e59
Update README with model results and attribution. Make scheduler factory bit more robust to arg differences, add noise to plateau lr and fix min/max.
5 years ago
d1b5dddad1
Merge pull request #155 from rwightman/densenet_update_and_more
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DenseNet updates, EvoNorms, VovNet, activation factory and more. Includes PR #142
5 years ago
39f27c1add
Almost ready to merge, vovnet typo, version bump, readme addition
5 years ago
151679c2f1
Add custom grad tests, fix cut & paste error with hard_mish ME, add a few more pytorch act fns to factory
5 years ago
6c7932fe75
Update sotabench.py, tweak VovNet cfg
5 years ago
d3ee3de96a
Update validation script first batch prime and clear cuda cache between multi-model runs
5 years ago
0aca08384f
Update regnet cfg keys to match model names so registry works properly
5 years ago
b41b8d0108
Update results csv files
5 years ago
78fa0772cc
Leverage python hierachical logger
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with this update one can tune the kind of logs generated by timm but
training and inference traces are unchanged
5 years ago
13c0a6290e
Add ESE-VovNet39 weights, 79.32 top-1
5 years ago
4ddde1d3a4
Fix two regressions
5 years ago
a7e8cadd15
Remove pointless densenet configs, add an iabn version of 264 as it makes more sense to try someday...
5 years ago
e78daf586a
better densenet121 and densenetblur121d weights
5 years ago
7be299504f
Add missing feature_info() on MobileNetV3, make hook feature output order/type consistent with bottleneck (list, decreasing fmap size)
5 years ago
88129b2569
Add set_layer_config contextmgr to adjust all layer configs at once, use in create_module with new args. Remove a few old warning causing constant annotations for jit.
5 years ago
f28170df3f
Fix an an untested change, remove a debug print
5 years ago
eb7653614f
Monster commit, activation refactor, VoVNet, norm_act improvements, more
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* refactor activations into basic PyTorch, jit scripted, and memory efficient custom auto
* implement hard-mish, better grad for hard-swish
* add initial VovNet V1/V2 impl, fix #151
* VovNet and DenseNet first models to use NormAct layers (support BatchNormAct2d, EvoNorm, InplaceIABN)
* Wrap IABN for any models that use it
* make more models torchscript compatible (DPN, PNasNet, Res2Net, SelecSLS) and add tests
5 years ago
ff94ffce61
Merge branch 'master' into densenet_update_and_more
5 years ago
5966654052
Update requirements so PyTorch 1.4 is min, add separate sotabench reqs to force 1.4 and prevent error with 1.5
5 years ago
0ea53cecc3
Merge branch 'master' into densenet_update_and_more
5 years ago
6441e9cc1b
Fix memory_efficient mode for DenseNets. Add AntiAliasing (Blur) support for DenseNets and create one test model. Add lr cycle/mul params to train args.
5 years ago
d79ac48626
Update sotabench.py
5 years ago
e881383b4e
Merge pull request #154 from rwightman/tests_bugfixes
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Add backward and default_cfg tests and fix a few issues found. Fix #153
5 years ago
4d13db538f
Add x48d ResNext101s to test exclude for ubuntu
5 years ago
4212cd3b9f
Another attempt at getting Ubuntu test runner to work
5 years ago
20329f2630
Bring down test resolutions to see if we can at least do a fwd on the L2 models
5 years ago
3873ea710e
Minor test change
5 years ago
afb6bd0669
Add backward and default_cfg tests and fix a few issues found. Fix #153
5 years ago
ea2e59ca36
Merge pull request #150 from rwightman/regnet
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Add RegNet models and weights
5 years ago
50658b9a67
Add RegNet models and weights
5 years ago
7df83258c9
Merge branch 'master' into densenet_update_and_more
5 years ago
dab9935b36
Merge pull request #148 from rwightman/drop_block_improve
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Improve dropblock impl, add fast variant, better AMP speed, inplace…
5 years ago
1904ed8fec
Improve dropblock impl, add fast variant, and better AMP speed, inplace, batchwise... few ResNeSt cleanups
5 years ago
63addb741f
Merge pull request #146 from rwightman/inceptionv3_fix
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Remove annoying torchvision InceptionV3 dependency on scipy and insanely slow tru…
5 years ago
17270c69b9
Remove annoying InceptionV3 dependency on scipy and insanely slow trunc_norm init. Bring InceptionV3 code into this codebase and use upcoming torch trunch_norm_ init.
5 years ago
c4ca016656
Merge pull request #145 from rwightman/resnest
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ResNeSt
5 years ago
208e7912f7
Missed one of the abalation model entrypoints, update README
5 years ago
5bd1ad13e7
Refactor test indent
5 years ago
9cc289f18c
Exclude EfficientNet-L2 models from test
5 years ago
2f884a0ce5
Add resnest14, resnest26, and two of the abalation grouped resnest50 models
5 years ago
f4cdc2ac31
Add ResNeSt models
5 years ago
780860d140
Add norm_act factory method, move JIT of norm layers to factory
5 years ago
14edacdf9a
DenseNet converted to support ABN (norm + act) modules. Experimenting with EvoNorm, IABN
5 years ago
e545bb9401
Update test_inference.py
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Not six min
5 years ago
305a2db705
Update test_inference.py
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Make the timeout 5-min for now, see if we can get a pass...
5 years ago
022ed001f3
Update DenseNet to latest in Torchvision (torchscript compat, checkpointing, proper init). Start adding ehanced configurability, stem options...
5 years ago
14e01b878c
Merge pull request #143 from michalwols/master
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Setup Github Action to instantiate and run a forward pass with each registered model.
5 years ago
8c77f14cae
Install cpu version of torch on ubuntu
5 years ago
69d725c9fe
Basic forward pass test for all registered models
5 years ago
8da43e0617
Install extra dependencies required by some models and log test durations
5 years ago
Ross Wightman