Aman Arora
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f54897cc0b
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make wandb not required but rather optional as huggingface_hub
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4 years ago |
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Aman Arora
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f13f7508a9
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Keep changes to minimal and use args.experiment as wandb project name if it exists
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4 years ago |
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Aman Arora
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f8bb13f640
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Default project name to None
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4 years ago |
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Aman Arora
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8db8ff346f
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add wandb to requirements.txt
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4 years ago |
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Aman Arora
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3f028ebc0f
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import wandb in summary.py
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4 years ago |
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Aman Arora
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a9e5d9e5ad
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log loss as before
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4 years ago |
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Aman Arora
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624c9b6949
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log to wandb only if using using wandb
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4 years ago |
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Aman Arora
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00c8e0b8bd
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Make use of wandb configurable
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4 years ago |
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Aman Arora
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8e6fb861e4
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Add wandb support
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4 years ago |
Ross Wightman
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779107b693
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Merge pull request #542 from juntang-zhuang/adabelief
Add Adabelief Optimizer
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4 years ago |
Juntang Zhuang
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74366f733c
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Delete distributed_train_adabelief.sh
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4 years ago |
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Juntang Zhuang
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1d848f409a
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Delete args.yaml
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4 years ago |
juntang
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addfc7c1ac
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adabelief
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4 years ago |
Ross Wightman
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fb896c0b26
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Update some comments re preliminary EfficientNet-V2 assumptions
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4 years ago |
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Ross Wightman
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2b49ab7a36
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Fix ResNetV2 pretrained classifier issue. Fixes #540
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4 years ago |
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Ross Wightman
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de9dff933a
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EfficientNet-V2S preliminary model def (for experimentation)
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4 years ago |
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Ross Wightman
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d5ed58d623
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Merge pull request #533 from rwightman/pit_and_vit_update
Addition of PiT models and update/cleanup of ViT, new NFNet weight, TFDS wrapper fix, few misc fixes/updates
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4 years ago |
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Ross Wightman
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37c71a5609
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Some further create_optimizer_v2 tweaks, remove some redudnant code, add back safe model str. Benchmark step times per batch.
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4 years ago |
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Ross Wightman
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2bb65bd875
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Wrong default_cfg pool_size for L1
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4 years ago |
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Ross Wightman
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bf2ca6bdf4
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Merge jax and original weight init
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4 years ago |
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Ross Wightman
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acbd698c83
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Update README.md with updates. Small tweak to head_dist handling.
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4 years ago |
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Ross Wightman
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9071568f0e
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Add weights for SE NFNet-L0 model, rename nfnet_l0b -> nfnet_l0. 82.75 top-1 @ 288. Add nfnet_l1 model def for training.
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4 years ago |
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Ross Wightman
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c468c47a9c
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Add regnety_160 weights from DeiT teacher model, update that and my regnety_032 weights to use higher test size.
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4 years ago |
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Ross Wightman
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288682796f
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Update benchmark script to add precision arg. Fix some downstream (DeiT) compat issues with latest changes. Bump version to 0.4.7
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4 years ago |
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Ross Wightman
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ea9c9550b2
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Fully move ViT hybrids to their own file, including embedding module. Remove some extra DeiT models that were for benchmarking only.
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4 years ago |
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Ross Wightman
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a5310a3451
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Merge remote-tracking branch 'origin/benchmark-fixes-vit_hybrids' into pit_and_vit_update
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4 years ago |
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Ross Wightman
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7953e5d11a
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Fix pos_embed scaling for ViT and num_classes != 1000 for pretrained distilled deit and pit models. Fix #426 and fix #433
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4 years ago |
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Ross Wightman
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a760a4c3f4
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Some ViT cleanup, merge distilled model with main, fixup torchscript support for distilled models
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4 years ago |
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Ross Wightman
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0dfc5a66bb
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Add PiT model from https://github.com/naver-ai/pit
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4 years ago |
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Ross Wightman
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1ad1645a50
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Merge branch 'contrastive-master'
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4 years ago |
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Ross Wightman
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51febd869b
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Small tweak to tests for tnt model, reorder model imports.
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4 years ago |
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Ross Wightman
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b27a4e0d88
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Merge branch 'master' of https://github.com/contrastive/pytorch-image-models into contrastive-master
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4 years ago |
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Ross Wightman
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2319cbbff2
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Merge pull request #525 from amaarora/spp
Add `ActivationStatsHook` to allow extracting activation stats for Signal Propogation Plots
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4 years ago |
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Aman Arora
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6b18061773
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Add GIST to docstring for quick access
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4 years ago |
contrastive
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809271b0f3
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Update test_models.py
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4 years ago |
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contrastive
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de86314655
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Update TNT
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4 years ago |
|
Aman Arora
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92b1db9a79
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update docstrings and add check on and
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4 years ago |
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Aman Arora
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b85be24054
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update to work with fnmatch
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4 years ago |
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contrastive
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cfc15283a4
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Update TNT url
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4 years ago |
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contrastive
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4a09bc851e
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Add TNT model
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4 years ago |
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Aman Arora
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20626e8387
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Add to extract stats for SPP
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4 years ago |
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Ross Wightman
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a2727c1bf7
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Merge pull request #510 from rwightman/dependabot/pip/jinja2-2.11.3
Bump jinja2 from 2.11.2 to 2.11.3
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4 years ago |
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Ross Wightman
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e2e3290fbf
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Add '--experiment' to train args for fixed exp name if desired, 'train' not added to output folder if specified.
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4 years ago |
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Ross Wightman
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cf5fec5047
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Cleanup experimental vit weight init a bit
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4 years ago |
dependabot[bot]
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b36099ace3
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Bump jinja2 from 2.11.2 to 2.11.3
Bumps [jinja2](https://github.com/pallets/jinja) from 2.11.2 to 2.11.3.
- [Release notes](https://github.com/pallets/jinja/releases)
- [Changelog](https://github.com/pallets/jinja/blob/master/CHANGES.rst)
- [Commits](https://github.com/pallets/jinja/compare/2.11.2...2.11.3)
Signed-off-by: dependabot[bot] <support@github.com>
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4 years ago |
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Ross Wightman
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f42f1df26c
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Improve evenness of per-worker split for validation set with TFDS
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4 years ago |
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Ross Wightman
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cbcb76d72c
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Should have included Conv2d layers in original weight init. Lets see what the impact is...
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4 years ago |
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Ross Wightman
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4de57ccf01
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Add weight init scheme that's closer to JAX impl
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4 years ago |
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Ross Wightman
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14ac4abf74
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Change huggingface hub revision delimiter to '@', add hf_hub reference for eca_nfnet_l0 model as an example.
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4 years ago |
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Ross Wightman
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740f32c96a
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Add ECA-NFNet-L0 weights and update model name. Update README and bump version to 0.4.6
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4 years ago |
