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Ross Wightman 8563609b28 Update notes in ScaledStdConv impl		4 years ago
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__init__.py	Add NFNet-F model weights ported from DeepMind Haiku impl and new set of models w/ compatible config.	4 years ago
activations.py	…
activations_jit.py	…
activations_me.py	…
adaptive_avgmax_pool.py	…
anti_aliasing.py	…
blur_pool.py	…
cbam.py	…
classifier.py	…
cond_conv2d.py	…
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	…
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	…
eca.py	…
evo_norm.py	…
helpers.py	update collections.abc import	4 years ago
inplace_abn.py	…
linear.py	…
median_pool.py	…
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	…
pool2d_same.py	…
se.py	…
selective_kernel.py	…
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	Update notes in ScaledStdConv impl	4 years ago
test_time_pool.py	…
weight_init.py	…