You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
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.
3 years ago
..
__init__.py Move Mlp and PatchEmbed modules into layers. Being used in lots of models now... 3 years ago
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. 3 years ago
bottleneck_attn.py Improved (hopefully) init for SA/SA-like layers used in ByoaNets 3 years ago
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. 4 years ago
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. 4 years ago
create_conv2d.py Use in_channels for depthwise groups, allows using `out_channels=N * in_channels` (does not impact existing models). Fix #354. 4 years ago
create_norm_act.py Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models. 4 years ago
create_self_attn.py Fixup byoanet configs to pass unit tests. Add swin_attn and swinnet26t model for testing. 3 years ago
drop.py
eca.py
evo_norm.py
halo_attn.py Improved (hopefully) init for SA/SA-like layers used in ByoaNets 3 years ago
helpers.py EfficientNetV2 official impl w/ weights ported from TF. Cleanup/refactor of related EfficientNet classes and models. 3 years ago
inplace_abn.py Update README, fix iabn pip version print. 4 years ago
lambda_layer.py Improved (hopefully) init for SA/SA-like layers used in ByoaNets 3 years ago
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. 4 years ago
mlp.py Move Mlp and PatchEmbed modules into layers. Being used in lots of models now... 3 years ago
norm.py Missed norm.py 4 years ago
norm_act.py Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models. 4 years ago
padding.py
patch_embed.py Rethink name of patch embed grid info 3 years ago
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. 4 years ago
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 4 years ago
swin_attn.py Improved (hopefully) init for SA/SA-like layers used in ByoaNets 3 years ago
test_time_pool.py
weight_init.py Cleanup experimental vit weight init a bit 4 years ago