pytorch-image-models/timm/models/layers
Ross Wightman f57db99101 Update README, fix iabn pip version print. 2021-03-07 16:17:06 -08:00
..
__init__.py Add NFNet-F model weights ported from DeepMind Haiku impl and new set of models w/ compatible config. 2021-02-18 12:28:46 -08:00
activations.py Fix inplace arg compat for GELU and PreLU via activation factory 2020-11-30 13:27:40 -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
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
blur_pool.py
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
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 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 Fix inplace arg compat for GELU and PreLU via activation factory 2020-11-30 13:27:40 -08:00
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
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 update collections.abc import 2021-02-10 23:54:35 +11:00
inplace_abn.py Update README, fix iabn pip version print. 2021-03-07 16:17:06 -08:00
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 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
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 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 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 Fix some attributions, add copyrights to some file docstrings 2020-07-27 13:44:56 -07:00
std_conv.py Update notes in ScaledStdConv impl 2021-02-18 12:44:08 -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