v1.0.13

Jan 9, 2025

• Add support to train and validate in pure bfloat16 or float16
• wandb project name arg added by https://github.com/caojiaolong, use arg.experiment for name
• Fix old issue w/ checkpoint saving not working on filesystem w/o hard-link support (e.g. FUSE fs mounts)
• 1.0.13 release

Jan 6, 2025

• Add torch.utils.checkpoint.checkpoint() wrapper in timm.models that defaults use_reentrant=False, unless TIMM_REENTRANT_CKPT=1 is set in env.

Dec 31, 2024

• convnext_nano 384x384 ImageNet-12k pretrain & fine-tune. https://huggingface.co/models?search=convnext_nano%20r384
• Add AIM-v2 encoders from https://github.com/apple/ml-aim, see on Hub: https://huggingface.co/models?search=timm%20aimv2
• Add PaliGemma2 encoders from https://github.com/google-research/big_vision to existing PaliGemma, see on Hub: https://huggingface.co/models?search=timm%20pali2
• Add missing L/14 DFN2B 39B CLIP ViT, vit_large_patch14_clip_224.dfn2b_s39b
• Fix existing RmsNorm layer & fn to match standard formulation, use PT 2.5 impl when possible. Move old impl to SimpleNorm layer, it's LN w/o centering or bias. There were only two timm models using it, and they have been updated.
• Allow override of cache_dir arg for model creation
• Pass through trust_remote_code for HF datasets wrapper
• inception_next_atto model added by creator
• Adan optimizer caution, and Lamb decoupled weighgt decay options
• Some feature_info metadata fixed by https://github.com/brianhou0208
• All OpenCLIP and JAX (CLIP, SigLIP, Pali, etc) model weights that used load time remapping were given their own HF Hub instances so that they work with hf-hub: based loading, and thus will work with new Transformers TimmWrapperModel

What's Changed

• Punch cache_dir through model factory / builder / pretrain helpers by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2356
• Yuweihao inception next atto merge by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2360
• Dataset trust remote tweaks by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2361
• Add --dataset-trust-remote-code to the train.py and validate.py scripts by @grodino in https://github.com/huggingface/pytorch-image-models/pull/2328
• Fix feature_info.reduction by @brianhou0208 in https://github.com/huggingface/pytorch-image-models/pull/2369
• Add caution to Adan. Add decouple decay option to LAMB. by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2357
• Switching to timm specific weight instances for open_clip image encoders by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2376
• Fix broken image link in Quickstart doc by @ariG23498 in https://github.com/huggingface/pytorch-image-models/pull/2381
• Supporting aimv2 encoders by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2379
• fix: minor typos in markdowns by @ruidazeng in https://github.com/huggingface/pytorch-image-models/pull/2382
• Add 384x384 in12k pretrain and finetune for convnext_nano by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2384
• Fixed unfused attn2d scale by @laclouis5 in https://github.com/huggingface/pytorch-image-models/pull/2387
• Fix MQA V2 by @laclouis5 in https://github.com/huggingface/pytorch-image-models/pull/2388
• Wrap torch checkpoint() fn to default use_reentrant flag to False and allow env var override by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2394
• Add half-precision (bfloat16, float16) support to train & validate scripts by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2397
• Merging wandb project name chages w/ addition by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2398

New Contributors

• @brianhou0208 made their first contribution in https://github.com/huggingface/pytorch-image-models/pull/2369
• @ariG23498 made their first contribution in https://github.com/huggingface/pytorch-image-models/pull/2381
• @ruidazeng made their first contribution in https://github.com/huggingface/pytorch-image-models/pull/2382
• @laclouis5 made their first contribution in https://github.com/huggingface/pytorch-image-models/pull/2387

Full Changelog: https://github.com/huggingface/pytorch-image-models/compare/v1.0.12...v1.0.13