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pytorch-image-models/timm/models/layers
Ross Wightman 8ad4bdfa06
Allow ntuple to be used with string values
2 years ago
..
__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
adaptive_avgmax_pool.py
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 3 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
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
global_context.py wip - pre-rebase 3 years ago
halo_attn.py wip - pre-rebase 3 years ago
helpers.py Allow ntuple to be used with string values 2 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
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 3 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
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
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