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pytorch-image-models/timm/models/layers
History
Ross Wightman f670d98cb8
Make a few more layers symbolically traceable (remove from FX leaf modules) 		3 years ago
..
__init__.py Merge remote-tracking branch 'origin/master' into norm_norm_norm 3 years ago
activations.py
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activations_jit.py
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activations_me.py
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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
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config.py
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conv2d_same.py
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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 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 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 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. 3 years ago
inplace_abn.py Significant norm update 3 years ago
lambda_layer.py wip - pre-rebase 3 years ago
linear.py
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median_pool.py
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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 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
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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
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split_attn.py Significant norm update 3 years ago
split_batchnorm.py
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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
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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