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

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activations_me.py

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activations.py

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adaptive_avgmax_pool.py

All swin models support spatial output, add output_fmt to v1/v2 and use ClassifierHead.

2023-03-15 23:21:51 -07:00

attention_pool2d.py

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blur_pool.py

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bottleneck_attn.py

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cbam.py

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classifier.py

Final push to get remaining models using multi-weight pretrained configs, almost all weights on HF hub

2023-04-26 15:52:13 -07:00

cond_conv2d.py

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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

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

conv_bn_act.py

Final push to get remaining models using multi-weight pretrained configs, almost all weights on HF hub

2023-04-26 15:52:13 -07:00

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

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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

Metaformer baselines for vision (final PR with cleanup) (#1793)

2023-05-05 11:18:26 -07:00

filter_response_norm.py

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format.py

All swin models support spatial output, add output_fmt to v1/v2 and use ClassifierHead.

2023-03-15 23:21:51 -07:00

gather_excite.py

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global_context.py

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grn.py

Add ConvNeXt-V2 support (model additions and weights) (#1614)

2023-01-05 07:53:32 -08:00

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

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linear.py

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median_pool.py

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mixed_conv2d.py

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ml_decoder.py

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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

Final push to get remaining models using multi-weight pretrained configs, almost all weights on HF hub

2023-04-26 15:52:13 -07:00

norm.py

Torchscript fixes/hacks for rms_norm, refactor ParallelScalingBlock with manual combination of input projections, closer paper match

2023-02-16 16:57:42 -08:00

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

Implement patch dropout for eva / vision_transformer, refactor / improve consistency of dropout args across all vit based models

2023-04-07 20:27:23 -07:00

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

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

pos_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

selective_kernel.py

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separable_conv.py

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space_to_depth.py

Always some torchscript issues

2023-04-26 20:42:34 -07:00

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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