Ross Wightman c153cd4a3e Add more advanced interpolation method from BEiT and support non-square window & image size adaptation for ...

* beit/beit-v2
* maxxvit/coatnet
* swin transformer
And non-square windows for swin-v2

2023-08-08 16:41:16 -07:00

..

__init__.py

Add more advanced interpolation method from BEiT and support non-square window & image size adaptation for

2023-08-08 16:41:16 -07:00

activations_jit.py

Major module / path restructure, timm.models.layers -> timm.layers, add _ prefix to all non model modules in timm.models

2022-12-06 15:00:06 -08:00

activations_me.py

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activations.py

Major module / path restructure, timm.models.layers -> timm.layers, add _ prefix to all non model modules in timm.models

2022-12-06 15:00:06 -08:00

adaptive_avgmax_pool.py

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attention_pool2d.py

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blur_pool.py

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bottleneck_attn.py

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cbam.py

Major module / path restructure, timm.models.layers -> timm.layers, add _ prefix to all non model modules in timm.models

2022-12-06 15:00:06 -08:00

classifier.py

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cond_conv2d.py

Major module / path restructure, timm.models.layers -> timm.layers, add _ prefix to all non model modules in timm.models

2022-12-06 15:00:06 -08:00

config.py

fast_attn -> fused_attn, implement global config for enable/disable fused_attn, add to more models. vit clip openai 336 weights.

2023-04-10 12:04:33 -07:00

conv2d_same.py

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conv_bn_act.py

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create_act.py

More models w/ multi-weight support, moving to HF hub. Removing inplace_abn from all models including TResNet

2023-04-20 22:44:49 -07:00

create_attn.py

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create_conv2d.py

Major module / path restructure, timm.models.layers -> timm.layers, add _ prefix to all non model modules in timm.models

2022-12-06 15:00:06 -08:00

create_norm_act.py

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create_norm.py

Add EfficientFormer-V2, refactor EfficientFormer and Levit for more uniformity across the 3 related arch. Add features_out support to levit conv models and efficientformer_v2. All weights on hub.

2023-02-03 14:12:29 -08:00

drop.py

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eca.py

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evo_norm.py

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fast_norm.py

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filter_response_norm.py

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format.py

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gather_excite.py

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global_context.py

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grn.py

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halo_attn.py

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helpers.py

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inplace_abn.py

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interpolate.py

Add more advanced interpolation method from BEiT and support non-square window & image size adaptation for

2023-08-08 16:41:16 -07:00

lambda_layer.py

Major module / path restructure, timm.models.layers -> timm.layers, add _ prefix to all non model modules in timm.models

2022-12-06 15:00:06 -08:00

linear.py

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median_pool.py

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mixed_conv2d.py

Major module / path restructure, timm.models.layers -> timm.layers, add _ prefix to all non model modules in timm.models

2022-12-06 15:00:06 -08:00

ml_decoder.py

Major module / path restructure, timm.models.layers -> timm.layers, add _ prefix to all non model modules in timm.models

2022-12-06 15:00:06 -08:00

mlp.py

Fix missing norm call in Mlp forward (not used by default, but can be enabled for normformer MLP scale). Fix #1851 fix #1852

2023-08-03 11:36:30 -07:00

non_local_attn.py

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norm_act.py

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norm.py

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padding.py

Add onnx utils and export code, tweak padding and conv2d_same for better dynamic export with recent PyTorch

2023-04-11 17:03:57 -07:00

patch_dropout.py

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patch_embed.py

Patch and pos embed resample done in float32 always (cast to float and back). Fix #1811

2023-08-03 11:32:17 -07:00

pool2d_same.py

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pos_embed_rel.py

Add more advanced interpolation method from BEiT and support non-square window & image size adaptation for

2023-08-08 16:41:16 -07:00

pos_embed_sincos.py

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pos_embed.py

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selective_kernel.py

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separable_conv.py

Major module / path restructure, timm.models.layers -> timm.layers, add _ prefix to all non model modules in timm.models

2022-12-06 15:00:06 -08:00

space_to_depth.py

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split_attn.py

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split_batchnorm.py

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squeeze_excite.py

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std_conv.py

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test_time_pool.py

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trace_utils.py

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weight_init.py

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