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pytorch-image-models/timm/models/layers
History
Ross Wightman d8e69206be
Merge pull request #419 from rwightman/byob_vgg_models 		4 years ago
..
__init__.py Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models. 4 years ago
activations.py Fix inplace arg compat for GELU and PreLU via activation factory 4 years ago
activations_jit.py Fix some attributions, add copyrights to some file docstrings 4 years ago
activations_me.py Merge pull request #282 from tigert1998/patch-1 4 years ago
adaptive_avgmax_pool.py Add 'fast' global pool option, remove redundant SEModule from tresnet, normal one is now 'fast' 4 years ago
anti_aliasing.py Final blurpool2d cleanup and add resnetblur50 weights, match tresnet Downsample arg order to BlurPool2d for interop 5 years ago
blur_pool.py Final blurpool2d cleanup and add resnetblur50 weights, match tresnet Downsample arg order to BlurPool2d for interop 5 years ago
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 4 years ago
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. 4 years ago
cond_conv2d.py Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers. 4 years ago
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. 5 years ago
conv2d_same.py Fix some attributions, add copyrights to some file docstrings 4 years ago
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 Fix inplace arg compat for GELU and PreLU via activation factory 4 years ago
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
drop.py Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers. 4 years ago
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 4 years ago
evo_norm.py Fix a silly bug in Sample version of EvoNorm missing x* part of swish, update EvoNormBatch to accumulated unbiased variance. 4 years ago
helpers.py update collections.abc import 4 years ago
inplace_abn.py Add initial impl of CrossStagePartial networks, yet to be trained, not quite the same as darknet cfgs. 5 years ago
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. 4 years ago
median_pool.py Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers. 4 years ago
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
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 Fix some attributions, add copyrights to some file docstrings 4 years ago
pool2d_same.py Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers. 4 years ago
se.py Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring. 4 years ago
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 4 years ago
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 Remove some CRLF that made it into TResNet merge 5 years ago
split_attn.py Add ReXNet w/ remapped weights, feature support 4 years ago
split_batchnorm.py Fix some attributions, add copyrights to some file docstrings 4 years ago
std_conv.py Fix up a few details in NFResNet models, managed stable training. Add support for gamma gain to be applied in activation or ScaleStdConv. Some tweaks to ScaledStdConv. 4 years ago
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. 4 years ago
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. 5 years ago