Ross Wightman 82c311d082 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

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__init__.py

Support BatchNormAct2d for sync-bn use. Fix #1254

2022-06-24 14:51:26 -07:00

activations_jit.py

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activations_me.py

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activations.py

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adaptive_avgmax_pool.py

Refactoring, cleanup, improved test coverage.

2021-06-12 16:40:02 -07:00

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

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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

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conv2d_same.py

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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

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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

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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

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global_context.py

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halo_attn.py

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helpers.py

Throw in some FBNetV3 code I had lying around, some refactoring of SE reduction channel calcs for all EffNet archs.

2021-05-28 20:47:24 -07:00

inplace_abn.py

Significant norm update

2021-12-14 13:48:30 -08:00

lambda_layer.py

Halo, bottleneck attn, lambda layer additions and cleanup along w/ experimental model defs

2021-10-06 16:32:48 -07:00

linear.py

A few more changes for 0.3.2 maint release. Linear layer change for mobilenetv3 and inception_v3, support no bias for linear wrapper.

2020-11-30 16:19:52 -08:00

median_pool.py

Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.

2020-10-13 13:33:44 -07:00

mixed_conv2d.py

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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_act.py

Remove unecessary code for synbn guard

2022-06-24 14:57:42 -07:00

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.

2021-11-19 14:24:43 -08:00

padding.py

Fix some attributions, add copyrights to some file docstrings

2020-07-27 13:44:56 -07:00

patch_embed.py

Fix #954 by bringing traceable _assert into timm to allow compat w/ PyTorch < 1.8

2021-11-02 09:21:40 -07:00

pool2d_same.py

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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

Remove some CRLF that made it into TResNet merge

2020-04-27 13:23:41 -07:00

split_attn.py

Significant norm update

2021-12-14 13:48:30 -08:00

split_batchnorm.py

Fix some attributions, add copyrights to some file docstrings

2020-07-27 13:44:56 -07:00

squeeze_excite.py

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std_conv.py

Use reshape instead of view in std_conv, causing issues in recent PyTorch in channels_last

2021-09-23 15:43:48 -07:00

test_time_pool.py

Add new weights for ecaresnet26t/50t/269d models. Remove distinction between 't' and 'tn' (tiered models), tn is now t. Add test time img size spec to default cfg.

2021-02-06 16:30:02 -08:00

trace_utils.py

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weight_init.py

Cleanup experimental vit weight init a bit

2021-03-20 09:44:24 -07:00