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Ross Wightman 7c7ecd2492 Add --use-train-size flag to force use of train input_size (over test input size) for validation. Default test-time pooling to use train input size (fixes issues).		2 years ago
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__init__.py	Add MobileVitV2 support. Fix #1332. Move GroupNorm1 to common layers (used in poolformer + mobilevitv2). Keep ol custom ConvNeXt LayerNorm2d impl as LayerNormExp2d for reference.	2 years ago
activations.py	…
activations_jit.py	…
activations_me.py	Merge pull request #282 from tigert1998/patch-1	4 years ago
adaptive_avgmax_pool.py	Refactoring, cleanup, improved test coverage.	3 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	fixing channels_last on cond_conv2d; update nvfuser debug env variable	2 years ago
config.py	…
conv2d_same.py	…
conv_bn_act.py	Add more experimental darknet and 'cs2' darknet variants (different cross stage setup, closer to newer YOLO backbones) for train trials.	2 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	Add MobileVitV2 support. Fix #1332. Move GroupNorm1 to common layers (used in poolformer + mobilevitv2). Keep ol custom ConvNeXt LayerNorm2d impl as LayerNormExp2d for reference.	2 years ago
create_conv2d.py	Significant norm update	3 years ago
create_norm_act.py	Significant norm update	3 years ago
drop.py	Improve repr for DropPath module	2 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.	3 years ago
evo_norm.py	Remove SiLU layer in default args that breaks import on old old PyTorch	2 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.	3 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.	3 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
ml_decoder.py	support CNNs	3 years ago
mlp.py	Add updated vit_relpos weights, and impl w/ support for official swin-v2 differences for relpos. Add bias control support for MLP layers	2 years ago
non_local_attn.py	Significant norm update	3 years ago
norm.py	Add MobileVitV2 support. Fix #1332. Move GroupNorm1 to common layers (used in poolformer + mobilevitv2). Keep ol custom ConvNeXt LayerNorm2d impl as LayerNormExp2d for reference.	2 years ago
norm_act.py	Remove unecessary code for synbn guard	2 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.	3 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	Add non-local and BAT attention. Merge attn and self-attn factories into one. Add attention references to README. Add mlp 'mode' to ECA.	3 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	Add --use-train-size flag to force use of train input_size (over test input size) for validation. Default test-time pooling to use train input size (fixes issues).	2 years ago
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	Add eps arg to LayerNorm2d, add 'tf' (tensorflow) variant of trunc_normal_ that applies scale/shift after sampling (instead of needing to move a/b)	2 years ago