Ross Wightman
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f77c04ff36
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Torchscript fixes/hacks for rms_norm, refactor ParallelScalingBlock with manual combination of input projections, closer paper match
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2 years ago |
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Ross Wightman
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122621daef
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Add Final annotation to attn_fas to avoid symbol lookup of new scaled_dot_product_attn fn on old PyTorch in jit
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2 years ago |
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Ross Wightman
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621e1b2182
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Add ideas from 'Scaling ViT to 22-B Params', testing PyTorch 2.0 fused F.scaled_dot_product_attention impl in vit, vit_relpos, maxxvit / coatnet.
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2 years ago |
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Ross Wightman
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a3d528524a
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Version 0.8.12dev0
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2 years ago |
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testbot
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a09d403c24
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changed warning to info
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2 years ago |
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testbot
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8470e29541
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Add support to load safetensors weights
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2 years ago |
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Ross Wightman
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f35d6ea57b
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Add multi-tensor (foreach) version of Lion in style of upcoming PyTorch 2.0 optimizers
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2 years ago |
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Ross Wightman
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709d5e0d9d
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Add Lion optimizer
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2 years ago |
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Ross Wightman
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624266148d
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Remove unused imports from _hub helpers
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2 years ago |
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Ross Wightman
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2cfff0581b
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Add grad_checkpointing support to features_only, test in EfficientDet.
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2 years ago |
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Ross Wightman
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45af496197
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Version 0.8.11dev0
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2 years ago |
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Ross Wightman
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9c14654a0d
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Improve support for custom dataset label name/description through HF hub export, via pretrained_cfg
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2 years ago |
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Ross Wightman
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1e0b347227
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Fix README
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2 years ago |
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Ross Wightman
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497be8343c
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Update README and version
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2 years ago |
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Ross Wightman
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0d33127df2
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Add 384x384 convnext_large_mlp laion2b fine-tune on in1k
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2 years ago |
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Ross Wightman
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88a5b8491d
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Merge pull request #1662 from rwightman/dataset_info
ImageNet metadata (info) and labelling update
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2 years ago |
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Ross Wightman
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7a0bd095cb
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Update model prune loader to use pkgutil
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2 years ago |
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Ross Wightman
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0f2803de7a
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Move ImageNet metadata (aka info) files to timm/data/_info. Add helper classes to make info available for labelling. Update inference.py for first use.
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2 years ago |
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Ross Wightman
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89b0452171
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Add PyTorch 1.13 inference benchmark numbers
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2 years ago |
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Ross Wightman
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7a13be67a5
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Update version.py
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2 years ago |
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Ross Wightman
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4b383e8ffe
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Merge pull request #1655 from rwightman/levit_efficientformer_redux
Add EfficientFormer-V2, refactor EfficientFormer and Levit
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2 years ago |
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Ross Wightman
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13acac8c5e
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Update head metadata for effformerv2
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2 years ago |
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Ross Wightman
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8682528096
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Add first conv metadata for efficientformer_v2
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2 years ago |
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Ross Wightman
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72fba669a8
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is_scripting() guard on checkpoint_seq
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2 years ago |
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Ross Wightman
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95ec255f7f
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Finish timm mode api for efficientformer_v2, add grad checkpointing support to both efficientformers
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2 years ago |
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Ross Wightman
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9d03c6f526
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Merge remote-tracking branch 'origin/main' into levit_efficientformer_redux
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2 years ago |
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Ross Wightman
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086bd55a94
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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.
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2 years ago |
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Ross Wightman
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2cb2699dc8
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Apply fix from #1649 to main
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2 years ago |
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Ross Wightman
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e0a5911072
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Merge pull request #1645 from rwightman/norm_mlp_classifier
Extract NormMlpClassifierHead from maxxvit.py
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2 years ago |
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Ross Wightman
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b3042081b4
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Add laion -> in1k fine-tuned base and large_mlp weights for convnext
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2 years ago |
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Ross Wightman
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316bdf8955
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Add mlp head support for convnext_large, add laion2b CLIP weights, prep fine-tuned weight tags
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2 years ago |
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Ross Wightman
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6f28b562c6
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Factor NormMlpClassifierHead from MaxxViT and use across MaxxViT / ConvNeXt / DaViT, refactor some type hints & comments
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2 years ago |
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Ross Wightman
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29fda20e6d
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Merge branch 'fffffgggg54-main'
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2 years ago |
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Ross Wightman
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9a53c3f727
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Finalize DaViT, some formatting and modelling simplifications (separate PatchEmbed to Stem + Downsample, weights on HF hub.
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2 years ago |
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Fredo Guan
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fb717056da
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Merge remote-tracking branch 'upstream/main'
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2 years ago |
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Ross Wightman
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2bbc26dd82
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version 0.8.8dev0
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2 years ago |
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Ross Wightman
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64667bfa0e
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Add 'gigantic' vit clip variant for feature extraction and future fine-tuning
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2 years ago |
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Ross Wightman
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3aa31f537d
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Merge pull request #1641 from rwightman/maxxvit_hub
MaxxViT weights on hub, new 12k FT 1k weights, convnext 384x384 12k FT 1k, and more
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2 years ago |
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Ross Wightman
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9983ed7721
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xlarge maxvit killing the tests
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2 years ago |
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Ross Wightman
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c2822568ec
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Update version to 0.8.7dev0
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2 years ago |
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Ross Wightman
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0417a9dd81
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Update README
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2 years ago |
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Ross Wightman
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36989cfae4
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Factor out readme generation in hub helper, add more readme fields
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2 years ago |
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Ross Wightman
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32f252381d
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Change order of checkpoitn filtering fn application in builder, try dict, model variant first
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2 years ago |
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Ross Wightman
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e9f1376cde
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Cleanup resolve data config fns, add 'model' variant that takes model as first arg, make 'args' arg optional in original fn
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2 years ago |
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Ross Wightman
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bed350f5e5
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Push all MaxxViT weights to HF hub, cleanup impl, add feature map extraction support and prompote to 'std' architecture. Fix norm head for proper embedding / feat map output. Add new in12k + ft 1k weights.
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2 years ago |
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Ross Wightman
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ca38e1e73f
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Update ClassifierHead module, add reset() method, update in_chs -> in_features for consistency
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2 years ago |
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Ross Wightman
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8ab573cd26
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Add convnext_tiny and convnext_small 384x384 fine-tunes of in12k weights, fix pool size for laion CLIP convnext weights
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2 years ago |
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Fredo Guan
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e58a884c1c
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Merge remote-tracking branch 'upstream/main'
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2 years ago |
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Fredo Guan
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81ca323751
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Davit update formatting and fix grad checkpointing (#7)
fixed head to gap->norm->fc as per convnext, along with option for norm->gap->fc
failed tests due to clip convnext models, davit tests passed
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2 years ago |
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Ross Wightman
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e9aac412de
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Correct mean/std for CLIP convnexts
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2 years ago |
