pytorch-image-models/timm/models/layers
Ross Wightman 656757d26b Fix MobileNetV2 head conv size for multiplier < 1.0. Add some missing modification copyrights, fix starting date of some old ones. 2022-01-14 16:28:27 -08:00
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__init__.py Fix MobileNetV2 head conv size for multiplier < 1.0. Add some missing modification copyrights, fix starting date of some old ones. 2022-01-14 16:28:27 -08:00
activations.py
activations_jit.py
activations_me.py
adaptive_avgmax_pool.py
attention_pool2d.py
blur_pool.py
bottleneck_attn.py wip - pre-rebase 2021-11-12 20:45:05 +00:00
cbam.py
classifier.py Disable use of timm nn.Linear wrapper since AMP autocast + torchscript use appears fixed 2022-01-06 16:01:51 -08:00
cond_conv2d.py
config.py
conv2d_same.py
conv_bn_act.py
create_act.py
create_attn.py
create_conv2d.py
create_norm_act.py
drop.py Update drop_path and drop_block (fast impl) to be symbolically traceable, slightly faster 2022-01-06 16:04:58 -08:00
eca.py
evo_norm.py Fix FX breaking assert in evonorm 2021-11-24 09:24:47 -08:00
gather_excite.py
global_context.py wip - pre-rebase 2021-11-12 20:45:05 +00:00
halo_attn.py wip - pre-rebase 2021-11-12 20:45:05 +00:00
helpers.py
inplace_abn.py
lambda_layer.py wip - pre-rebase 2021-11-12 20:45:05 +00:00
linear.py
median_pool.py
mixed_conv2d.py
mlp.py
non_local_attn.py wip - pre-rebase 2021-11-12 20:45:05 +00:00
norm.py Add ResNet-50 w/ GN (resnet50_gn) and SEBotNet-33-TS (sebotnet33ts_256) model defs and weights. Update halonet50ts weights w/ slightly better variant in1k val, more robust to test sets. 2021-11-19 14:24:43 -08:00
norm_act.py Prep a set of ResNetV2 models with GroupNorm, EvoNormB0, EvoNormS0 for BN free model experiments on TPU and IPU 2021-11-19 17:37:00 -08:00
padding.py
patch_embed.py
pool2d_same.py
selective_kernel.py wip - pre-rebase 2021-11-12 20:45:05 +00:00
separable_conv.py
space_to_depth.py
split_attn.py
split_batchnorm.py
squeeze_excite.py
std_conv.py
test_time_pool.py
trace_utils.py
weight_init.py