pytorch-image-models/timm/models/layers
Ross Wightman c4f482a08b EfficientNetV2 official impl w/ weights ported from TF. Cleanup/refactor of related EfficientNet classes and models. 2021-05-14 15:50:00 -07:00
..
__init__.py Move Mlp and PatchEmbed modules into layers. Being used in lots of models now... 2021-05-06 14:03:23 -07:00
activations.py
activations_jit.py
activations_me.py
adaptive_avgmax_pool.py
blur_pool.py Remove filter hack from BlurPool w/ non-persistent buffer. Use BlurPool2d instead of AntiAliasing.. for TResNet. Breaks PyTorch < 1.6. 2021-05-04 16:56:28 -07:00
bottleneck_attn.py Improved (hopefully) init for SA/SA-like layers used in ByoaNets 2021-05-04 21:40:39 -07:00
cbam.py
classifier.py
cond_conv2d.py
config.py
conv2d_same.py
conv_bn_act.py Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models. 2021-02-09 16:22:52 -08:00
create_act.py
create_attn.py Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models. 2021-02-09 16:22:52 -08:00
create_conv2d.py Use in_channels for depthwise groups, allows using `out_channels=N * in_channels` (does not impact existing models). Fix #354. 2021-02-09 16:22:52 -08:00
create_norm_act.py Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models. 2021-02-09 16:22:52 -08:00
create_self_attn.py Fixup byoanet configs to pass unit tests. Add swin_attn and swinnet26t model for testing. 2021-04-29 21:08:37 -07:00
drop.py
eca.py
evo_norm.py
halo_attn.py Improved (hopefully) init for SA/SA-like layers used in ByoaNets 2021-05-04 21:40:39 -07:00
helpers.py EfficientNetV2 official impl w/ weights ported from TF. Cleanup/refactor of related EfficientNet classes and models. 2021-05-14 15:50:00 -07:00
inplace_abn.py Update README, fix iabn pip version print. 2021-03-07 16:17:06 -08:00
lambda_layer.py Improved (hopefully) init for SA/SA-like layers used in ByoaNets 2021-05-04 21:40:39 -07:00
linear.py
median_pool.py
mixed_conv2d.py Use in_channels for depthwise groups, allows using `out_channels=N * in_channels` (does not impact existing models). Fix #354. 2021-02-09 16:22:52 -08:00
mlp.py Move Mlp and PatchEmbed modules into layers. Being used in lots of models now... 2021-05-06 14:03:23 -07:00
norm.py Missed norm.py 2021-04-12 09:57:56 -07:00
norm_act.py Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models. 2021-02-09 16:22:52 -08:00
padding.py
patch_embed.py Rethink name of patch embed grid info 2021-05-06 14:08:20 -07:00
pool2d_same.py
se.py
selective_kernel.py
separable_conv.py Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models. 2021-02-09 16:22:52 -08:00
space_to_depth.py
split_attn.py
split_batchnorm.py
std_conv.py Add ECA-NFNet-L0 weights and update model name. Update README and bump version to 0.4.6 2021-03-17 13:55:32 -07:00
swin_attn.py Improved (hopefully) init for SA/SA-like layers used in ByoaNets 2021-05-04 21:40:39 -07:00
test_time_pool.py
weight_init.py Cleanup experimental vit weight init a bit 2021-03-20 09:44:24 -07:00