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).		2022-07-07 22:01:24 -07:00
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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.	2022-07-07 14:41:01 -07:00
activations.py	…
activations_jit.py	…
activations_me.py	…
adaptive_avgmax_pool.py	…
attention_pool2d.py	Significant model refactor and additions:	2022-02-28 13:56:23 -08:00
blur_pool.py	Make a few more layers symbolically traceable (remove from FX leaf modules)	2022-03-24 21:43:56 -07:00
bottleneck_attn.py	…
cbam.py	Significant norm update	2021-12-14 13:48:30 -08:00
classifier.py	Significant model refactor and additions:	2022-02-28 13:56:23 -08:00
cond_conv2d.py	fixing channels_last on cond_conv2d; update nvfuser debug env variable	2022-04-25 12:41:46 -07:00
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.	2022-07-01 15:14:01 -07:00
create_act.py	Updated EvoNorm implementations with some experimentation. Add FilterResponseNorm. Updated RegnetZ and ResNetV2 model defs for trials.	2021-12-01 12:09:01 -08:00
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.	2022-07-07 14:41:01 -07:00
create_conv2d.py	Significant norm update	2021-12-14 13:48:30 -08:00
create_norm_act.py	Significant norm update	2021-12-14 13:48:30 -08:00
drop.py	Improve repr for DropPath module	2022-06-24 14:58:15 -07:00
eca.py	…
evo_norm.py	Remove SiLU layer in default args that breaks import on old old PyTorch	2022-06-24 14:56:58 -07:00
filter_response_norm.py	Updated EvoNorm implementations with some experimentation. Add FilterResponseNorm. Updated RegnetZ and ResNetV2 model defs for trials.	2021-12-01 12:09:01 -08:00
gather_excite.py	…
global_context.py	…
halo_attn.py	…
helpers.py	…
inplace_abn.py	Significant norm update	2021-12-14 13:48:30 -08:00
lambda_layer.py	…
linear.py	…
median_pool.py	…
mixed_conv2d.py	…
ml_decoder.py	support CNNs	2021-11-30 08:48:08 +02:00
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	2022-05-13 13:53:57 -07:00
non_local_attn.py	Significant norm update	2021-12-14 13:48:30 -08:00
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.	2022-07-07 14:41:01 -07:00
norm_act.py	Remove unecessary code for synbn guard	2022-06-24 14:57:42 -07:00
padding.py	…
patch_embed.py	…
pool2d_same.py	…
pos_embed.py	Significant model refactor and additions:	2022-02-28 13:56:23 -08:00
selective_kernel.py	Significant norm update	2021-12-14 13:48:30 -08:00
separable_conv.py	Significant norm update	2021-12-14 13:48:30 -08:00
space_to_depth.py	…
split_attn.py	Significant norm update	2021-12-14 13:48:30 -08:00
split_batchnorm.py	…
squeeze_excite.py	…
std_conv.py	…
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).	2022-07-07 22:01:24 -07:00
trace_utils.py	…
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)	2022-07-01 15:15:39 -07:00