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pytorch-image-models/timm/models/layers
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Ross Wightman a39c3ee216
Merge branch 'master' into eca-weights
2021-02-08 11:52:31 -08:00
..
__init__.py
Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring.
2021-01-27 22:06:57 -08:00
activations_jit.py
Fix some attributions, add copyrights to some file docstrings
2020-07-27 13:44:56 -07:00
activations_me.py
Merge pull request #282 from tigert1998/patch-1
2021-02-04 12:18:40 -08:00
activations.py
Fix inplace arg compat for GELU and PreLU via activation factory
2020-11-30 13:27:40 -08:00
adaptive_avgmax_pool.py
Add 'fast' global pool option, remove redundant SEModule from tresnet, normal one is now 'fast'
2020-09-02 09:11:48 -07:00
anti_aliasing.py
Final blurpool2d cleanup and add resnetblur50 weights, match tresnet Downsample arg order to BlurPool2d for interop
2020-05-01 17:00:21 -07:00
blur_pool.py
Final blurpool2d cleanup and add resnetblur50 weights, match tresnet Downsample arg order to BlurPool2d for interop
2020-05-01 17:00:21 -07:00
cbam.py
AdaptiveAvgPool2d -> mean((2,3)) for all SE/attn layers to avoid NaN with AMP + channels_last layout. See https://github.com/pytorch/pytorch/issues/43992
2020-09-01 16:05:32 -07:00
classifier.py
ResNetV2 pre-act and non-preact model, w/ BiT pretrained weights and support for ViT R50 model. Tweaks for in21k num_classes passing. More to do... tests failing.
2020-12-28 16:59:15 -08:00
cond_conv2d.py
Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.
2020-10-13 13:33:44 -07:00
config.py
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.
2020-06-02 21:06:10 -07:00
conv2d_same.py
Fix some attributions, add copyrights to some file docstrings
2020-07-27 13:44:56 -07:00
conv_bn_act.py
Fix some attributions, add copyrights to some file docstrings
2020-07-27 13:44:56 -07:00
create_act.py
Fix inplace arg compat for GELU and PreLU via activation factory
2020-11-30 13:27:40 -08:00
create_attn.py
Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring.
2021-01-27 22:06:57 -08:00
create_conv2d.py
Fix some attributions, add copyrights to some file docstrings
2020-07-27 13:44:56 -07:00
create_norm_act.py
Fix some attributions, add copyrights to some file docstrings
2020-07-27 13:44:56 -07:00
drop.py
Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.
2020-10-13 13:33:44 -07:00
eca.py
AdaptiveAvgPool2d -> mean((2,3)) for all SE/attn layers to avoid NaN with AMP + channels_last layout. See https://github.com/pytorch/pytorch/issues/43992
2020-09-01 16:05:32 -07:00
evo_norm.py
Fix a silly bug in Sample version of EvoNorm missing x* part of swish, update EvoNormBatch to accumulated unbiased variance.
2020-08-13 18:25:01 -07:00
helpers.py
Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring.
2021-01-27 22:06:57 -08:00
inplace_abn.py
Add initial impl of CrossStagePartial networks, yet to be trained, not quite the same as darknet cfgs.
2020-07-13 15:01:06 -07:00
linear.py
A few more changes for 0.3.2 maint release. Linear layer change for mobilenetv3 and inception_v3, support no bias for linear wrapper.
2020-11-30 16:19:52 -08:00
median_pool.py
Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.
2020-10-13 13:33:44 -07:00
mixed_conv2d.py
Fix some attributions, add copyrights to some file docstrings
2020-07-27 13:44:56 -07:00
norm_act.py
ResNetV2 pre-act and non-preact model, w/ BiT pretrained weights and support for ViT R50 model. Tweaks for in21k num_classes passing. More to do... tests failing.
2020-12-28 16:59:15 -08:00
padding.py
Fix some attributions, add copyrights to some file docstrings
2020-07-27 13:44:56 -07:00
pool2d_same.py
Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.
2020-10-13 13:33:44 -07:00
se.py
Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring.
2021-01-27 22:06:57 -08:00
selective_kernel.py
AdaptiveAvgPool2d -> mean((2,3)) for all SE/attn layers to avoid NaN with AMP + channels_last layout. See https://github.com/pytorch/pytorch/issues/43992
2020-09-01 16:05:32 -07:00
separable_conv.py
Fix some attributions, add copyrights to some file docstrings
2020-07-27 13:44:56 -07:00
space_to_depth.py
…
split_attn.py
Add ReXNet w/ remapped weights, feature support
2020-07-23 10:28:57 -07:00
split_batchnorm.py
Fix some attributions, add copyrights to some file docstrings
2020-07-27 13:44:56 -07:00
std_conv.py
Fix up a few details in NFResNet models, managed stable training. Add support for gamma gain to be applied in activation or ScaleStdConv. Some tweaks to ScaledStdConv.
2021-01-30 16:32:07 -08:00
test_time_pool.py
Add new weights for ecaresnet26t/50t/269d models. Remove distinction between 't' and 'tn' (tiered models), tn is now t. Add test time img size spec to default cfg.
2021-02-06 16:30:02 -08:00
weight_init.py
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.
2020-05-12 21:59:34 -07:00