Ross Wightman
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444dcba4ad
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CLIP B16 12k weights added
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2 years ago |
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Ross Wightman
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dff4717cbf
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Add clip b16 384x384 finetunes
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2 years ago |
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Ross Wightman
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883fa2eeaa
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Add fine-tuned B/16 224x224 in1k clip models
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2 years ago |
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Ross Wightman
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9a3d2ac2d5
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Add latest CLIP ViT fine-tune pretrained configs / model entrypt updates
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2 years ago |
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Ross Wightman
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42bbbddee9
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Add missing model config
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2 years ago |
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Ross Wightman
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def68befa7
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Updating vit model defs for mult-weight support trial (vit first). Prepping for CLIP (laion2b and openai) fine-tuned weights.
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2 years ago |
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Ross Wightman
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0dadb4a6e9
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Initial multi-weight support, handled so old pretraing config handling co-exists with new tags.
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2 years ago |
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Wauplin
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9b114754db
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refactor push_to_hub helper
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2 years ago |
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Wauplin
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ae0a0db7de
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Create repo before cloning with Repository.clone_from
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2 years ago |
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Ross Wightman
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803254bb40
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Fix spacing misalignment for fast norm path in LayerNorm modules
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2 years ago |
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Ross Wightman
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6635bc3f7d
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Merge pull request #1479 from rwightman/script_cleanup
Train / val script enhancements, non-GPU (ie CPU) device support, HF datasets support, TFDS/WDS dataloading improvements
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2 years ago |
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Ross Wightman
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0e6023f032
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Merge pull request #1381 from ChristophReich1996/master
Fix typo in PositionalEncodingFourier
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2 years ago |
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Ross Wightman
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66f4af7090
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Merge remote-tracking branch 'origin/master' into script_cleanup
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2 years ago |
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Ross Wightman
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9914f744dc
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Add more maxxvit weights includ ConvNeXt conv block based experiments.
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2 years ago |
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Mohamed Rashad
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8fda68aff6
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Fix repo id bug
This to fix this issue #1482
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2 years ago |
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Ross Wightman
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1199c5a1a4
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clip_laion2b models need 1e-5 eps for LayerNorm
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2 years ago |
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Ross Wightman
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e858912e0c
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Add brute-force checkpoint remapping option
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2 years ago |
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Ross Wightman
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b293dfa595
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Add CL SE module
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2 years ago |
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Ross Wightman
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a383ef99f5
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Make huggingface_hub necessary if it's the only source for a pretrained weight
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2 years ago |
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Ross Wightman
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e069249a2d
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Add hf hub entries for laion2b clip models, add huggingface_hub dependency, update some setup/reqs, torch >= 1.7
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2 years ago |
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Ross Wightman
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9d65557be3
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Fix errant import
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2 years ago |
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Ross Wightman
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9709dbaaa9
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Adding support for fine-tune CLIP LAION-2B image tower weights for B/32, L/14, H/14 and g/14. Still WIP
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2 years ago |
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Ross Wightman
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a520da9b49
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Update tresnet features_info for v2
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2 years ago |
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Ross Wightman
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c8ab747bf4
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BEiT-V2 checkpoints didn't remove 'module' from weights, adapt checkpoint filter
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2 years ago |
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Ross Wightman
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73049dc2aa
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Fix type in dla weight update
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2 years ago |
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Ross Wightman
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e11efa872d
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Update a bunch of weights with external links to timm release assets. Fixes issue with *aliyuncs.com returning forbidden. Did pickle scan / verify and re-hash. Add TresNet-V2-L weights.
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2 years ago |
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Ross Wightman
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fa8c84eede
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Update maxvit_tiny_256 weight to better iter, add coatnet / maxvit / maxxvit model defs for future runs
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2 years ago |
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Ross Wightman
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c1b3cea19d
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Add maxvit_rmlp_tiny_rw_256 model def and weights w/ 84.2 top-1 @ 256, 84.8 @ 320
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2 years ago |
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Ross Wightman
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914544fc81
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Add beitv2 224x224 checkpoints from https://github.com/microsoft/unilm/tree/master/beit2
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2 years ago |
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Ross Wightman
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dc90816f26
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Add `maxvit_tiny_rw_224` weights 83.5 @ 224 and `maxvit_rmlp_pico_rw_256` relpos weights, 80.5 @ 256, 81.3 @ 320
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2 years ago |
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Ross Wightman
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f489f02ad1
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Make gcvit window size ratio based to improve resolution changing support #1449. Change default init to original.
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2 years ago |
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Ross Wightman
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7f1b223c02
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Add maxvit_rmlp_nano_rw_256 model def & weights, make window/grid size dynamic wrt img_size by default
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2 years ago |
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Ross Wightman
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e6a4361306
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pretrained_cfg entry for mvitv2_small_cls
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2 years ago |
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Ross Wightman
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f66e5f0e35
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Fix class token support in MViT-V2, add small_class variant to ensure it's tested. Fix #1443
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2 years ago |
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Ross Wightman
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f1d2160d85
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Update a few maxxvit comments, rename PartitionAttention -> PartitionAttenionCl for consistency with other blocks
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2 years ago |
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Ross Wightman
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eca6f0a25c
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Fix syntax error (extra dataclass comma) in maxxvit.py
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2 years ago |
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Ross Wightman
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ff6a919cf5
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Add --fast-norm arg to benchmark.py, train.py, validate.py
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2 years ago |
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Ross Wightman
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769ab4b98a
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Clean up no_grad for trunc normal weight inits
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2 years ago |
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Ross Wightman
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48e1df8b37
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Add norm/norm_act header comments
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2 years ago |
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Ross Wightman
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7c2660576d
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Tweak init for convnext block using maxxvit/coatnext.
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2 years ago |
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Ross Wightman
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1d8d6f6072
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Fix two default args in DenseNet blocks... fix #1427
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2 years ago |
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Ross Wightman
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527f9a4cb2
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Updated to correct maxvit_nano weights...
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2 years ago |
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Ross Wightman
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b2e8426fca
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Make k=stride=2 ('avg2') pooling default for coatnet/maxvit. Add weight links. Rename 'combined' partition to 'parallel'.
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2 years ago |
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Ross Wightman
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837c68263b
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For ConvNeXt, use timm internal LayerNorm for fast_norm in non conv_mlp mode
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2 years ago |
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Ross Wightman
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cac0a4570a
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More test fixes, pool size for 256x256 maxvit models
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2 years ago |
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Ross Wightman
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e939ed19b9
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Rename internal creation fn for maxvit, has not been just coatnet for a while...
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2 years ago |
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Ross Wightman
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ffaf97f813
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MaxxVit! A very configurable MaxVit and CoAtNet impl with lots of goodies..
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2 years ago |
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Ross Wightman
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8c9696c9df
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More model and test fixes
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2 years ago |
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Ross Wightman
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ca52108c2b
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Fix some model support functions
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2 years ago |
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Ross Wightman
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f332fc2db7
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Fix some test failures, torchscript issues
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2 years ago |
