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443 Commits (8db8ff346fcc405c8bdaf62ac8f6574253402ed4)

Author SHA1 Message Date
Aman Arora 3f028ebc0f import wandb in summary.py
4 years ago
Aman Arora 624c9b6949 log to wandb only if using using wandb
4 years ago
juntang addfc7c1ac adabelief
4 years ago
Ross Wightman fb896c0b26 Update some comments re preliminary EfficientNet-V2 assumptions
4 years ago
Ross Wightman 2b49ab7a36 Fix ResNetV2 pretrained classifier issue. Fixes #540
4 years ago
Ross Wightman de9dff933a EfficientNet-V2S preliminary model def (for experimentation)
4 years ago
Ross Wightman 37c71a5609 Some further create_optimizer_v2 tweaks, remove some redudnant code, add back safe model str. Benchmark step times per batch.
4 years ago
Ross Wightman 2bb65bd875 Wrong default_cfg pool_size for L1
4 years ago
Ross Wightman bf2ca6bdf4 Merge jax and original weight init
4 years ago
Ross Wightman acbd698c83 Update README.md with updates. Small tweak to head_dist handling.
4 years ago
Ross Wightman 9071568f0e Add weights for SE NFNet-L0 model, rename nfnet_l0b -> nfnet_l0. 82.75 top-1 @ 288. Add nfnet_l1 model def for training.
4 years ago
Ross Wightman c468c47a9c Add regnety_160 weights from DeiT teacher model, update that and my regnety_032 weights to use higher test size.
4 years ago
Ross Wightman 288682796f Update benchmark script to add precision arg. Fix some downstream (DeiT) compat issues with latest changes. Bump version to 0.4.7
4 years ago
Ross Wightman ea9c9550b2 Fully move ViT hybrids to their own file, including embedding module. Remove some extra DeiT models that were for benchmarking only.
4 years ago
Ross Wightman a5310a3451 Merge remote-tracking branch 'origin/benchmark-fixes-vit_hybrids' into pit_and_vit_update
4 years ago
Ross Wightman 7953e5d11a Fix pos_embed scaling for ViT and num_classes != 1000 for pretrained distilled deit and pit models. Fix #426 and fix #433
4 years ago
Ross Wightman a760a4c3f4 Some ViT cleanup, merge distilled model with main, fixup torchscript support for distilled models
4 years ago
Ross Wightman 0dfc5a66bb Add PiT model from https://github.com/naver-ai/pit
4 years ago
Ross Wightman 51febd869b Small tweak to tests for tnt model, reorder model imports.
4 years ago
Ross Wightman b27a4e0d88 Merge branch 'master' of https://github.com/contrastive/pytorch-image-models into contrastive-master
4 years ago
Aman Arora 6b18061773 Add GIST to docstring for quick access
4 years ago
contrastive de86314655 Update TNT
4 years ago
Aman Arora 92b1db9a79 update docstrings and add check on and
4 years ago
Aman Arora b85be24054 update to work with fnmatch
4 years ago
contrastive cfc15283a4 Update TNT url
4 years ago
contrastive 4a09bc851e Add TNT model
4 years ago
Aman Arora 20626e8387 Add to extract stats for SPP
4 years ago
Ross Wightman cf5fec5047 Cleanup experimental vit weight init a bit
4 years ago
Ross Wightman f42f1df26c Improve evenness of per-worker split for validation set with TFDS
4 years ago
Ross Wightman cbcb76d72c Should have included Conv2d layers in original weight init. Lets see what the impact is...
4 years ago
Ross Wightman 4de57ccf01 Add weight init scheme that's closer to JAX impl
4 years ago
Ross Wightman 14ac4abf74 Change huggingface hub revision delimiter to '@', add hf_hub reference for eca_nfnet_l0 model as an example.
4 years ago
Ross Wightman 740f32c96a Add ECA-NFNet-L0 weights and update model name. Update README and bump version to 0.4.6
4 years ago
Ross Wightman 5e2e4e7fb6
Merge pull request #502 from khatami-mehrdad/efficientnet_dg
4 years ago
Ross Wightman 45c048ba13 A few minor fixes and bit more cleanup on the huggingface hub integration.
4 years ago
Mehrdad 97f49d163c adding efficientnet_el, efficientnet_es_prunedefficientnet_es_pruned and efficientnet_el_pruned pretrained models to timm/models
4 years ago
Ross Wightman ead80d33c5 Fix typo, naming consistency
4 years ago
Ross Wightman d584e7f617 Support for huggingface hub via create_model and default_cfgs.
4 years ago
Ross Wightman 1f799afcb3 Remove capital letters in model names
4 years ago
AFLALO, Jonathan Isaac 82c1fe958a added hardcorenas model
4 years ago
Ross Wightman f57db99101 Update README, fix iabn pip version print.
4 years ago
Ross Wightman 7ef7788ee9 Fix CUDA crash w/ channels-last + CSP models. Remove use of chunk()
4 years ago
Ross Wightman 317ea3e599 Tweak NFNet, ResNetV2, RexNet feature extraction, use pre-act features for simplicty. Update tests for pytorch 1.8. 0.4.5 version bump.
4 years ago
Ross Wightman 17cdee7354 Fix C&P patch_size error, and order of op patch_size arg resolution bug. Remove a test vit model.
4 years ago
Ross Wightman 0706d05d52 Benchmark models listed in txt file. Add more hybrid vit variants for testing
4 years ago
Ross Wightman 2db2d87ff7 Add epoch-repeats arg to multiply the number of dataset passes per epoch. Currently for iterable datasets (read TFDS wrapper) only.
4 years ago
Ross Wightman de97be9146 Spell out diff between my small and deit small vit models.
4 years ago
Ross Wightman f0ffdf89b3 Add numerous experimental ViT Hybrid models w/ ResNetV2 base. Update the ViT naming for hybrids. Fix #426 for pretrained vit resizing.
4 years ago
Ross Wightman 0e16d4e9fb Add benchmark.py script, and update optimizer factory to be more friendly to use outside of argparse interface.
4 years ago
Ross Wightman 4bc103f504 Fix CUDA crash w/ channels-last + CSP models. Remove use of chunk()
4 years ago