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352 Commits (20516abc18d12104ffebde3cc6f42c1713047bb5)

Author SHA1 Message Date
Ross Wightman 20516abc18 Fix some broken tests for ResNetV2 BiT models
4 years ago
Ross Wightman 59ec7e6a53 Merge branch 'master' into imagenet21k_datasets_more
4 years ago
Ross Wightman e7a9ddf982
Merge pull request #334 from kecsap/links
4 years ago
Csaba Kertesz 7cae7e7035 Follow links during dataset scanning
4 years ago
Ross Wightman c96e9f99a0 Update version to 0.3.3
4 years ago
Ross Wightman 4e2533db77 Add 320x320 model default cfgs for 101D and 152D ResNets. Add SEResNet-152D weights and 320x320 cfg.
4 years ago
Ross Wightman 0167f749d3 Remove some old __future__ imports
4 years ago
Ross Wightman e35e9760a6 More work on dataset / parser split and imagenet21k (tar) support
4 years ago
Ross Wightman ce69de70d3 Add 21k weight urls to vision_transformer. Cleanup feature_info for preact ResNetV2 (BiT) models
4 years ago
Ross Wightman 231d04e91a ResNetV2 pre-act and non-preact model, w/ BiT pretrained weights and support for ViT R50 model. Tweaks for in21k num_classes passing. More to do... tests failing.
4 years ago
Ross Wightman de6046e213 Initial commit for dataset / parser reorg to support additional datasets / types
4 years ago
Ross Wightman 392595c7eb Add pool_size to default cfgs for new models to prevent tests from failing. Add explicit 200D_320 model entrypoint for next benchmark run.
4 years ago
Ross Wightman b1f1228a41 Add ResNet101D, 152D, and 200D weights, remove meh 66d model
4 years ago
Jasha 7c56c718f3 Configure create_optimizer with args.opt_args
4 years ago
Ross Wightman 9a25fdf3ad
Merge pull request #297 from rwightman/ema_simplify
4 years ago
Tymoteusz Wiśniewski de15b43865 Fix a bug with accuracy retrieving from RealLabels
4 years ago
Ross Wightman cd72e66eff Bug in last mod for features_only default_cfg
4 years ago
Ross Wightman 867a0e5a04 Add default_cfg back to models wrapped in feature extraction module as per discussion in #294.
4 years ago
Ross Wightman 4ca52d73d8 Add separate set and update method to ModelEmaV2
4 years ago
Ross Wightman 2ed8f24715 A few more changes for 0.3.2 maint release. Linear layer change for mobilenetv3 and inception_v3, support no bias for linear wrapper.
4 years ago
Ross Wightman 6504a42832 Version 0.3.2
4 years ago
Ross Wightman 460eba7f24 Work around casting issue with combination of native torch AMP and torchscript for Linear layers
4 years ago
Ross Wightman 5f4b6076d8 Fix inplace arg compat for GELU and PreLU via activation factory
4 years ago
Ross Wightman fd962c4b4a Native SiLU (Swish) op doesn't export to ONNX
4 years ago
Ross Wightman 27bbc70d71 Add back old ModelEma and rename new one to ModelEmaV2 to avoid compat breaks in dependant code. Shuffle train script, add a few comments, remove DataParallel support, support experimental torchscript training.
4 years ago
Ross Wightman 9214ca0716 Simplifying EMA...
4 years ago
Ross Wightman 53aeed3499 ver 0.3.1
4 years ago
Ross Wightman 30ab4a1494 Fix issue in optim factory with sgd / eps flag. Bump version to 0.3.1
4 years ago
Ross Wightman 741572dc9d Bump version to 0.3.0 for pending PyPi push
4 years ago
Ross Wightman b401952caf Add newly added vision transformer large/base 224x224 weights ported from JAX official repo
4 years ago
Ross Wightman 61200db0ab in_chans=1 working w/ pretrained weights for vision_transformer
4 years ago
Ross Wightman e90edce438 Support native silu activation (aka swish). An optimized ver is available in PyTorch 1.7.
4 years ago
Ross Wightman da6cd2cc1f Fix regression for pretrained classifier loading when using entrypt functions directly
4 years ago
Ross Wightman f591e90b0d Make sure num_features attr is present in vit models as with others
4 years ago
Ross Wightman 4a3df7842a Fix topn metric view regression on PyTorch 1.7
4 years ago
Ross Wightman f944242cb0 Fix #262, num_classes arg mixup. Make vision_transformers a bit closer to other models wrt get/reset classfier/forward_features. Fix torchscript for ViT.
4 years ago
Ross Wightman 736f209e7d Update vision transformers to be compatible with official code. Port official ViT weights from jax impl.
4 years ago
Ross Wightman 477a78ed81 Fix optimizer factory regressin for optimizers like sgd/momentum that don't have an eps arg
4 years ago
Ross Wightman 27a93e9de7 Improve test crop for ViT models. Small now 77.85, added base weights at 79.35 top-1.
4 years ago
Ross Wightman d4db9e7977 Add small vision transformer weights. 77.42 top-1.
4 years ago
talrid 27fadaa922 asymmetric_loss
4 years ago
Ross Wightman f31933cb37 Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.
4 years ago
Ross Wightman a4d8fea61e Add model based wd skip support. Improve cross version compat of optimizer factory. Fix #247
4 years ago
Ross Wightman 80078c47bb Add Adafactor and Adahessian optimizers, cleanup optimizer arg passing, add gradient clipping support.
4 years ago
Ross Wightman fcb6258877 Add missing leaky_relu layer factory defn, update Apex/Native loss scaler interfaces to support unscaled grad clipping. Bump ver to 0.2.2 for pending release.
4 years ago
Ross Wightman e8e2d9cabf Add DropPath (stochastic depth) to ReXNet and VoVNet. RegNet DropPath impl tweak and dedupe se args.
4 years ago
Ross Wightman e8ca45854c More models in sotabench, more control over sotabench run, dataset filename extraction consistency
4 years ago
Ross Wightman 9c406532bd Add EfficientNet-EdgeTPU-M (efficientnet_em) model trained natively in PyTorch. More sotabench fiddling.
4 years ago
Ross Wightman c40384f5bd Add ResNet weights. 80.5 (top-1) ResNet-50-D, 77.1 ResNet-34-D, 72.7 ResNet-18-D.
4 years ago
Ross Wightman 47a7b3b5b1 More flexible mixup mode, add 'half' mode.
4 years ago