Ross Wightman d8e69206be

Merge pull request #419 from rwightman/byob_vgg_models ...

More models, GPU-Efficient Nets, RepVGG, classic VGG, and flexible Byob backbone.

2021-02-10 15:44:09 -08:00

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__init__.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

activations_jit.py

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activations_me.py

Merge pull request #282 from tigert1998/patch-1

2021-02-04 12:18:40 -08:00

activations.py

Fix inplace arg compat for GELU and PreLU via activation factory

2020-11-30 13:27:40 -08:00

adaptive_avgmax_pool.py

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anti_aliasing.py

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blur_pool.py

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cbam.py

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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

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config.py

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conv2d_same.py

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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

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eca.py

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evo_norm.py

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helpers.py

update collections.abc import

2021-02-10 23:54:35 +11:00

inplace_abn.py

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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

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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

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pool2d_same.py

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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

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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

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split_attn.py

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split_batchnorm.py

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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.

2021-01-30 16:32:07 -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

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