Ross Wightman ade1ba5fe3 Bring in code that should fix 1d circular padding properly, tweaks to ECA impl, using CECA in MobileNetV3 experiment

2020-02-25 16:12:41 -08:00

..

__init__.py

Adding support to EfficientNet / MobileNetV3 to for different attention layers in .se position

2020-02-24 18:07:09 -08:00

activations.py

Re-enable mem-efficient/jit activations after torchscript tests

2020-02-10 11:59:36 -08:00

adaptive_avgmax_pool.py

Big move, layer modules and fn to timm/models/layers

2020-02-09 13:13:08 -08:00

avg_pool2d_same.py

Layer refactoring continues, ResNet downsample rewrite for proper dilation in 3x3 and avg_pool cases

2020-02-10 11:55:03 -08:00

cbam.py

Adding support to EfficientNet / MobileNetV3 to for different attention layers in .se position

2020-02-24 18:07:09 -08:00

cond_conv2d.py

Tweak some comments, add SKNet models with weights to sotabench, remove an unused branch

2020-02-15 21:18:25 -08:00

conv2d_same.py

Layer refactoring continues, ResNet downsample rewrite for proper dilation in 3x3 and avg_pool cases

2020-02-10 11:55:03 -08:00

conv_bn_act.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_attn.py

Adding support to EfficientNet / MobileNetV3 to for different attention layers in .se position

2020-02-24 18:07:09 -08:00

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

drop.py

Update comments for Selective Kernel and DropBlock/Path impl, add skresnet34 weights

2020-02-18 13:58:30 -08:00

eca.py

Bring in code that should fix 1d circular padding properly, tweaks to ECA impl, using CECA in MobileNetV3 experiment

2020-02-25 16:12:41 -08:00

helpers.py

Adding support to EfficientNet / MobileNetV3 to for different attention layers in .se position

2020-02-24 18:07:09 -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

padding.py

Layer refactoring continues, ResNet downsample rewrite for proper dilation in 3x3 and avg_pool cases

2020-02-10 11:55:03 -08:00

se.py

Adding support to EfficientNet / MobileNetV3 to for different attention layers in .se position

2020-02-24 18:07:09 -08:00

selective_kernel.py

Update comments for Selective Kernel and DropBlock/Path impl, add skresnet34 weights

2020-02-18 13:58:30 -08:00

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