pytorch-image-models/timm/models/layers
Ross Wightman 0ea53cecc3 Merge branch 'master' into densenet_update_and_more 2020-05-22 16:18:10 -07:00
..
__init__.py Merge branch 'master' into densenet_update_and_more 2020-05-13 23:34:44 -07:00
activations.py Re-enable mem-efficient/jit activations after torchscript tests 2020-02-10 11:59:36 -08:00
adaptive_avgmax_pool.py Some TResNet cleanup. 2020-04-27 13:21:05 -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 Tweak some comments, add SKNet models with weights to sotabench, remove an unused branch 2020-02-15 21:18:25 -08:00
cond_conv2d.py Update EfficientNet feature extraction for EfficientDet. Add needed MaxPoolSame as well. 2020-04-09 01:41:54 -07:00
conv2d_same.py Update EfficientNet feature extraction for EfficientDet. Add needed MaxPoolSame as well. 2020-04-09 01:41:54 -07:00
conv_bn_act.py Fix #139. Broken SKResNets after BlurPool addition, as a plus, SKResNets support AA now too. 2020-05-04 12:14:43 -07:00
create_attn.py Fix minor typos in create_attn.py and resnet.py 2020-04-07 21:15:57 +09:00
create_conv2d.py Layer refactoring continues, ResNet downsample rewrite for proper dilation in 3x3 and avg_pool cases 2020-02-10 11:55:03 -08:00
create_norm_act.py Add norm_act factory method, move JIT of norm layers to factory 2020-05-09 22:09:21 -07:00
drop.py Improve dropblock impl, add fast variant, and better AMP speed, inplace, batchwise... few ResNeSt cleanups 2020-05-13 15:17:08 -07:00
eca.py fix typo in eca 2020-04-14 15:20:35 +04:30
evo_norm.py Add norm_act factory method, move JIT of norm layers to factory 2020-05-09 22:09:21 -07:00
helpers.py Layer refactoring continues, ResNet downsample rewrite for proper dilation in 3x3 and avg_pool cases 2020-02-10 11:55:03 -08:00
median_pool.py Big move, layer modules and fn to timm/models/layers 2020-02-09 13:13:08 -08:00
mixed_conv2d.py Tweak some comments, add SKNet models with weights to sotabench, remove an unused branch 2020-02-15 21:18:25 -08:00
norm_act.py DenseNet converted to support ABN (norm + act) modules. Experimenting with EvoNorm, IABN 2020-05-09 18:26:41 -07:00
padding.py Update EfficientNet feature extraction for EfficientDet. Add needed MaxPoolSame as well. 2020-04-09 01:41:54 -07:00
pool2d_same.py Update EfficientNet feature extraction for EfficientDet. Add needed MaxPoolSame as well. 2020-04-09 01:41:54 -07:00
se.py Add RegNet models and weights 2020-05-18 00:08:52 -07:00
selective_kernel.py Fix #139. Broken SKResNets after BlurPool addition, as a plus, SKResNets support AA now too. 2020-05-04 12:14:43 -07:00
space_to_depth.py Remove some CRLF that made it into TResNet merge 2020-04-27 13:23:41 -07:00
split_attn.py Improve dropblock impl, add fast variant, and better AMP speed, inplace, batchwise... few ResNeSt cleanups 2020-05-13 15:17:08 -07:00
split_batchnorm.py Big move, layer modules and fn to timm/models/layers 2020-02-09 13:13:08 -08:00
test_time_pool.py Layer refactoring continues, ResNet downsample rewrite for proper dilation in 3x3 and avg_pool cases 2020-02-10 11:55:03 -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