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Ross Wightman f45de37690 Merge branch 'master' into levit_visformer_rednet		4 years ago
..
__init__.py	Merge branch 'master' into levit_visformer_rednet	4 years ago
activations.py	Fix inplace arg compat for GELU and PreLU via activation factory	4 years ago
activations_jit.py	…
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
blur_pool.py	Remove filter hack from BlurPool w/ non-persistent buffer. Use BlurPool2d instead of AntiAliasing.. for TResNet. Breaks PyTorch < 1.6.	4 years ago
bottleneck_attn.py	Improved (hopefully) init for SA/SA-like layers used in ByoaNets	4 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	…
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	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
create_self_attn.py	Add initial RedNet model / Involution layer impl for testing	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	…
halo_attn.py	Improved (hopefully) init for SA/SA-like layers used in ByoaNets	4 years ago
helpers.py	EfficientNetV2 official impl w/ weights ported from TF. Cleanup/refactor of related EfficientNet classes and models.	4 years ago
inplace_abn.py	Update README, fix iabn pip version print.	4 years ago
involution.py	Add initial RedNet model / Involution layer impl for testing	4 years ago
lambda_layer.py	Improved (hopefully) init for SA/SA-like layers used in ByoaNets	4 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
mlp.py	Add preliminary gMLP and ResMLP impl to Mlp-Mixer	4 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	Add levit, levit_c, and visformer model defs. Largely untested and not finished cleanup.	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	…
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	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	Cleanup experimental vit weight init a bit	4 years ago