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pytorch-image-models/timm/models/layers
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Ross Wightman b745d30a3e Fix formatting of last commit
2021-10-25 15:15:14 -07:00
..
__init__.py
Update attention / self-attn based models from a series of experiments:
2021-08-20 16:13:11 -07:00
activations_jit.py
Fix some attributions, add copyrights to some file docstrings
2020-07-27 13:44:56 -07:00
activations_me.py
Merge pull request #282 from tigert1998/patch-1
2021-02-04 12:18:40 -08:00
activations.py
Fix inplace arg compat for GELU and PreLU via activation factory
2020-11-30 13:27:40 -08:00
adaptive_avgmax_pool.py
Refactoring, cleanup, improved test coverage.
2021-06-12 16:40:02 -07:00
attention_pool2d.py
Add initial AttentionPool2d that's being trialed. Fix comment and still trying to improve reliability of sgd test.
2021-09-05 12:41:14 -07:00
blur_pool.py
Remove filter hack from BlurPool w/ non-persistent buffer. Use BlurPool2d instead of AntiAliasing.. for TResNet. Breaks PyTorch < 1.6.
2021-05-04 16:56:28 -07:00
bottleneck_attn.py
Add option to include relative pos embedding in the attention scaling as per references. See discussion #912
2021-10-12 15:37:01 -07:00
cbam.py
Add Gather-Excite and Global Context attn modules. Refactor existing SE-like attn for consistency and refactor byob/byoanet for less redundancy.
2021-05-27 18:03:29 -07:00
classifier.py
Refactoring, cleanup, improved test coverage.
2021-06-12 16:40:02 -07:00
cond_conv2d.py
Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.
2020-10-13 13:33:44 -07:00
config.py
Add set_layer_config contextmgr to adjust all layer configs at once, use in create_module with new args. Remove a few old warning causing constant annotations for jit.
2020-06-02 21:06:10 -07:00
conv2d_same.py
Fix some attributions, add copyrights to some file docstrings
2020-07-27 13:44:56 -07:00
conv_bn_act.py
Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.
2021-02-09 16:22:52 -08:00
create_act.py
Fix #661, move hardswish out of default args for LeViT. Enable native torch support for hardswish, hardsigmoid, mish if present.
2021-05-26 15:28:42 -07:00
create_attn.py
Update attention / self-attn based models from a series of experiments:
2021-08-20 16:13:11 -07:00
create_conv2d.py
Use in_channels for depthwise groups, allows using out_channels=N * in_channels (does not impact existing models). Fix #354.
2021-02-09 16:22:52 -08:00
create_norm_act.py
Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.
2021-02-09 16:22:52 -08:00
drop.py
Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.
2020-10-13 13:33:44 -07:00
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.
2021-05-31 13:18:11 -07:00
evo_norm.py
Fix a silly bug in Sample version of EvoNorm missing x* part of swish, update EvoNormBatch to accumulated unbiased variance.
2020-08-13 18:25:01 -07:00
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.
2021-05-27 18:03:29 -07:00
global_context.py
Add gc_efficientnetv2_rw_t weights (global context instead of SE attn). Add TF XL weights even though the fine-tuned ones don't validate that well. Change default arg for GlobalContext to use scal (mul) mode.
2021-08-07 16:45:29 -07:00
halo_attn.py
Add weights for regnetz_d and haloregnetz_c, update regnetz_c weights. Add commented PyTorch XLA code for halo attention
2021-10-19 12:32:09 -07:00
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
Update README, fix iabn pip version print.
2021-03-07 16:17:06 -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
Use in_channels for depthwise groups, allows using out_channels=N * in_channels (does not impact existing models). Fix #354.
2021-02-09 16:22:52 -08:00
mlp.py
Cleanup re-use of Dropout modules in Mlp modules after some twitter feedback :p
2021-10-25 00:40:59 -07:00
non_local_attn.py
Fix torchscript issue in bat
2021-06-08 23:19:51 -07:00
norm_act.py
Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.
2021-02-09 16:22:52 -08:00
norm.py
Realized LayerNorm2d won't work in all cases as is, fixed.
2021-07-05 18:21:34 -07:00
padding.py
Fix some attributions, add copyrights to some file docstrings
2020-07-27 13:44:56 -07:00
patch_embed.py
Fix formatting of last commit
2021-10-25 15:15:14 -07:00
pool2d_same.py
Support npz custom load for vision transformer hybrid models. Add posembed rescale for npz load.
2021-06-14 12:31:44 -07:00
selective_kernel.py
Remove min channels for SelectiveKernel, divisor should cover cases well enough.
2021-05-31 15:38:56 -07:00
separable_conv.py
Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.
2021-02-09 16:22:52 -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
Add non-local and BAT attention. Merge attn and self-attn factories into one. Add attention references to README. Add mlp 'mode' to ECA.
2021-05-31 13:18:11 -07:00
split_batchnorm.py
Fix some attributions, add copyrights to some file docstrings
2020-07-27 13:44:56 -07:00
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.
2021-05-31 13:18:11 -07:00
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
weight_init.py
Cleanup experimental vit weight init a bit
2021-03-20 09:44:24 -07:00