pytorch-image-models/timm/models/layers
Ross Wightman 231d04e91a 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
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__init__.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
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 Fix some attributions, add copyrights to some file docstrings 2020-07-27 13:44:56 -07:00
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 Add set_layer_config contextmgr to adjust all layer configs at once, use in create_module with new args. Remove a few old warning causing constant annotations for jit. 2020-06-02 21:06:10 -07:00
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 some attributions, add copyrights to some file docstrings 2020-07-27 13:44:56 -07:00
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 some attributions, add copyrights to some file docstrings 2020-07-27 13:44:56 -07:00
create_conv2d.py Fix some attributions, add copyrights to some file docstrings 2020-07-27 13:44:56 -07:00
create_norm_act.py Fix some attributions, add copyrights to some file docstrings 2020-07-27 13:44:56 -07:00
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 Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers. 2020-10-13 13:33:44 -07:00
inplace_abn.py Add initial impl of CrossStagePartial networks, yet to be trained, not quite the same as darknet cfgs. 2020-07-13 15:01:06 -07:00
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 Fix some attributions, add copyrights to some file docstrings 2020-07-27 13:44:56 -07:00
norm_act.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
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 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
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 some attributions, add copyrights to some file docstrings 2020-07-27 13:44:56 -07:00
space_to_depth.py
split_attn.py Add ReXNet w/ remapped weights, feature support 2020-07-23 10:28:57 -07:00
split_batchnorm.py Fix some attributions, add copyrights to some file docstrings 2020-07-27 13:44:56 -07:00
test_time_pool.py More models in sotabench, more control over sotabench run, dataset filename extraction consistency 2020-09-24 15:56:57 -07:00
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