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Ross Wightman f670d98cb8 Make a few more layers symbolically traceable (remove from FX leaf modules) ... * remove dtype kwarg from .to() calls in EvoNorm as it messed up script + trace combo * BatchNormAct2d always uses custom forward (cut & paste from original) instead of super().forward. Fixes #1176 * BlurPool groups==channels, no need to use input.dim[1]		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	Significant model refactor and additions:	3 years ago
blur_pool.py	Make a few more layers symbolically traceable (remove from FX leaf modules)	3 years ago
bottleneck_attn.py	wip - pre-rebase	3 years ago
cbam.py	Significant norm update	3 years ago
classifier.py	Significant model refactor and additions:	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	Make a few more layers symbolically traceable (remove from FX leaf modules)	3 years ago
eca.py	…
evo_norm.py	Make a few more layers symbolically traceable (remove from FX leaf modules)	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	…
global_context.py	wip - pre-rebase	3 years ago
halo_attn.py	wip - pre-rebase	3 years ago
helpers.py	…
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	…
ml_decoder.py	support CNNs	3 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	Make a few more layers symbolically traceable (remove from FX leaf modules)	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
pos_embed.py	Significant model refactor and additions:	3 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	…
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	…