Ross Wightman 480c676ffa Fix FX breaking assert in evonorm

2021-11-24 09:24:47 -08:00

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__init__.py

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

2021-11-02 09:21:40 -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

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

wip - pre-rebase

2021-11-12 20:45:05 +00:00

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

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config.py

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conv2d_same.py

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conv_bn_act.py

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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

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create_norm_act.py

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drop.py

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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 FX breaking assert in evonorm

2021-11-24 09:24:47 -08:00

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

wip - pre-rebase

2021-11-12 20:45:05 +00:00

halo_attn.py

wip - pre-rebase

2021-11-12 20:45:05 +00:00

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

wip - pre-rebase

2021-11-12 20:45:05 +00:00

linear.py

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median_pool.py

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mixed_conv2d.py

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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

wip - pre-rebase

2021-11-12 20:45:05 +00:00

norm_act.py

Prep a set of ResNetV2 models with GroupNorm, EvoNormB0, EvoNormS0 for BN free model experiments on TPU and IPU

2021-11-19 17:37:00 -08:00

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

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patch_embed.py

wip - attempting to rebase

2021-11-12 20:45:05 +00:00

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

wip - pre-rebase

2021-11-12 20:45:05 +00:00

separable_conv.py

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space_to_depth.py

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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

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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.

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

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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

2021-11-02 11:22:33 -07:00

weight_init.py

Cleanup experimental vit weight init a bit

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