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Ross Wightman 95cfc9b3e8 Merge remote-tracking branch 'origin/master' into norm_norm_norm		3 years ago
..
__init__.py	Merge remote-tracking branch 'origin/master' into norm_norm_norm	3 years ago
activations.py	…
activations_jit.py	…
activations_me.py	…
adaptive_avgmax_pool.py	Refactoring, cleanup, improved test coverage.	4 years ago
attention_pool2d.py	Add initial AttentionPool2d that's being trialed. Fix comment and still trying to improve reliability of sgd test.	3 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	wip - pre-rebase	3 years ago
cbam.py	Significant norm update	3 years ago
classifier.py	Disable use of timm nn.Linear wrapper since AMP autocast + torchscript use appears fixed	3 years ago
cond_conv2d.py	…
config.py	…
conv2d_same.py	…
conv_bn_act.py	Significant norm update	3 years ago
create_act.py	Updated EvoNorm implementations with some experimentation. Add FilterResponseNorm. Updated RegnetZ and ResNetV2 model defs for trials.	3 years ago
create_attn.py	Update attention / self-attn based models from a series of experiments:	3 years ago
create_conv2d.py	Significant norm update	3 years ago
create_norm_act.py	Significant norm update	3 years ago
drop.py	Merge remote-tracking branch 'origin/master' into norm_norm_norm	3 years ago
eca.py	Add non-local and BAT attention. Merge attn and self-attn factories into one. Add attention references to README. Add mlp 'mode' to ECA.	4 years ago
evo_norm.py	Significant norm update	3 years ago
filter_response_norm.py	Updated EvoNorm implementations with some experimentation. Add FilterResponseNorm. Updated RegnetZ and ResNetV2 model defs for trials.	3 years ago
gather_excite.py	Add Gather-Excite and Global Context attn modules. Refactor existing SE-like attn for consistency and refactor byob/byoanet for less redundancy.	4 years ago
global_context.py	wip - pre-rebase	3 years ago
halo_attn.py	wip - pre-rebase	3 years ago
helpers.py	Throw in some FBNetV3 code I had lying around, some refactoring of SE reduction channel calcs for all EffNet archs.	4 years ago
inplace_abn.py	Significant norm update	3 years ago
lambda_layer.py	wip - pre-rebase	3 years ago
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
mlp.py	Cleanup re-use of Dropout modules in Mlp modules after some twitter feedback :p	3 years ago
non_local_attn.py	Significant norm update	3 years ago
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.	3 years ago
norm_act.py	Significant norm update	3 years ago
padding.py	…
patch_embed.py	wip - attempting to rebase	3 years ago
pool2d_same.py	Support npz custom load for vision transformer hybrid models. Add posembed rescale for npz load.	4 years ago
selective_kernel.py	Significant norm update	3 years ago
separable_conv.py	Significant norm update	3 years ago
space_to_depth.py	…
split_attn.py	Significant norm update	3 years ago
split_batchnorm.py	…
squeeze_excite.py	Add non-local and BAT attention. Merge attn and self-attn factories into one. Add attention references to README. Add mlp 'mode' to ECA.	4 years ago
std_conv.py	Use reshape instead of view in std_conv, causing issues in recent PyTorch in channels_last	3 years ago
test_time_pool.py	…
trace_utils.py	Better fix for #954 that doesn't break torchscript, pull torch._assert into timm namespace when it exists	3 years ago
weight_init.py	Cleanup experimental vit weight init a bit	4 years ago