Ross Wightman
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45dec179e5
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Merge pull request #681 from lmk123568/master
Update convit.py
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3 years ago |
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Dongyoon Han
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ded1671483
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Fix stochastic depth working only with a shortcut
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3 years ago |
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Mike
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b87d98b238
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Update convit.py
Cut out the duplicates
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4 years ago |
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Ross Wightman
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bda8ab015a
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Remove min channels for SelectiveKernel, divisor should cover cases well enough.
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4 years ago |
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Ross Wightman
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a27f4aec4a
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Missed args for skresnext w/ refactoring.
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4 years ago |
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Ross Wightman
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307a935b79
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Add non-local and BAT attention. Merge attn and self-attn factories into one. Add attention references to README. Add mlp 'mode' to ECA.
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4 years ago |
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Ross Wightman
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8bf63b6c6c
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Able to use other attn layer in EfficientNet now. Create test ECA + GC B0 configs. Make ECA more configurable.
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4 years ago |
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Ross Wightman
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bcec14d3b5
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Bring EfficientNet SE layer in line with others, pull se_ratio outside of blocks. Allows swapping w/ other attn layers.
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4 years ago |
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Ross Wightman
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9611458e19
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Throw in some FBNetV3 code I had lying around, some refactoring of SE reduction channel calcs for all EffNet archs.
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4 years ago |
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Ross Wightman
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01b9108619
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Merge branch 'master' into more_attn
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4 years ago |
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Ross Wightman
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d7bab8a6c5
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Fix strict flag change for checkpoint load.
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4 years ago |
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Ross Wightman
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02f9d4bc34
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Add weights for resnet51q model, add 61q def.
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4 years ago |
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Ross Wightman
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f615474be3
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Fix broken test, repvgg block doesn't have attn_last attr.
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4 years ago |
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Ross Wightman
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742c2d5247
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Add Gather-Excite and Global Context attn modules. Refactor existing SE-like attn for consistency and refactor byob/byoanet for less redundancy.
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4 years ago |
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Ross Wightman
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9c78de8c02
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Fix #661, move hardswish out of default args for LeViT. Enable native torch support for hardswish, hardsigmoid, mish if present.
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4 years ago |
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Ross Wightman
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5db7452173
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Fix visformer in_chans stem handling
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4 years ago |
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Ross Wightman
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11ae795e99
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Redo LeViT attention bias caching in a way that works with both torchscript and DataParallel
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4 years ago |
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Ross Wightman
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d400f1dbdd
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Filter test models before creation for backward/torchscript tests
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4 years ago |
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Ross Wightman
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c4572cc5aa
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Add Visformer-small weighs, tweak torchscript jit test img size.
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4 years ago |
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Ross Wightman
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bfc72f75d3
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Expand scope of testing for non-std vision transformer / mlp models. Some related cleanup and create fn cleanup for all vision transformer and mlp models. More CoaT weights.
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4 years ago |
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Ross Wightman
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18bf520ad1
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Add eca_nfnet_l2/l3 defs for future training
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4 years ago |
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Ross Wightman
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f45de37690
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Merge branch 'master' into levit_visformer_rednet
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4 years ago |
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Ross Wightman
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23c18a33e4
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Add efficientnetv2_rw_m weights trained in PyTorch. 84.8 top-1 @ 416 test. 53M params.
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4 years ago |
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Ross Wightman
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c2ba229d99
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Prep for effcientnetv2_rw_m model weights that started training before official release..
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4 years ago |
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Ross Wightman
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30b9880d06
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Minor adjustment, mutable default arg, extra check of valid len...
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4 years ago |
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Ross Wightman
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be0abfbcce
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Merge branch 'master' of https://github.com/alexander-soare/pytorch-image-models into alexander-soare-master
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4 years ago |
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Ross Wightman
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b7de82e835
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ConViT cleanup, fix torchscript, bit of reformatting, reuse existing layers.
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4 years ago |
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Ross Wightman
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306c86b668
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Merge branch 'convit' of https://github.com/amaarora/pytorch-image-models into amaarora-convit
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4 years ago |
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Ross Wightman
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a569635045
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Update twin weights to a copy in GitHub releases for faster dl. Tweak model class comment.
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4 years ago |
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Ross Wightman
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be99eef9c1
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Remove redundant code, cleanup, fix torchscript.
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4 years ago |
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Ross Wightman
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5ab372a3ec
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Merge branch 'master' of https://github.com/abcdvzz/pytorch-image-models into abcdvzz-master
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4 years ago |
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Aman Arora
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5db1eb6ba5
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Add defaults
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4 years ago |
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Aman Arora
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8b1f2e8e1f
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remote unused matplotlib import
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4 years ago |
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Aman Arora
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40c506ba1e
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Add ConViT
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4 years ago |
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Alexander Soare
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7976019864
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extend positional embedding resizing functionality to tnt
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4 years ago |
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Alexander Soare
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8086943b6f
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allow resize positional embeddings to non-square grid
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4 years ago |
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talrid
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dc1a4efd28
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mixer_b16_224_miil, mixer_b16_224_miil_in21k models
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4 years ago |
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李鑫杰
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7b799c4e79
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add latest code
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4 years ago |
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Ross Wightman
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d5af752117
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Add preliminary gMLP and ResMLP impl to Mlp-Mixer
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4 years ago |
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李鑫杰
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00548b8427
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Add Twins
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4 years ago |
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Ross Wightman
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e7f0db8664
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Fix drop/drop_path arg on MLP-Mixer model. Fix #641
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4 years ago |
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Ross Wightman
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9a3ae97311
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Another set of byoanet models w/ ECA channel + SA + groups
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4 years ago |
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Ross Wightman
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7077f16c6a
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Change 21k model naming from _21k to _in21k for consistency with existing 21k models.
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4 years ago |
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Ross Wightman
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94d4b53352
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Add temporary default_cfgs to visformer models so they pass tests
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4 years ago |
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Ross Wightman
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3bffc701f1
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Merge branch 'master' into levit_visformer_rednet
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4 years ago |
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Ross Wightman
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ecc7552c5c
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Add levit, levit_c, and visformer model defs. Largely untested and not finished cleanup.
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4 years ago |
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Ross Wightman
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165fb354b2
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Add initial RedNet model / Involution layer impl for testing
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4 years ago |
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Ross Wightman
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328249f11a
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Update README, tweak fine-tune effv2 model names.
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4 years ago |
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Ross Wightman
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c4f482a08b
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EfficientNetV2 official impl w/ weights ported from TF. Cleanup/refactor of related EfficientNet classes and models.
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4 years ago |
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Ross Wightman
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4fbc32d3d0
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Fix crop_pct for cait models.
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4 years ago |
