258 Commits (cd72e66effd32e460a7f129d3c426b7151c89723)

Author	SHA1	Message	Date
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	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	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	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	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	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
Ross Wightman	f31933cb37	Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.	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	33f8a1bf36	Updated README, add wide_resnet50_2 and seresnext50_32x4d weights	4 years ago
Ross Wightman	751b0bba98	Add global_pool (--gp) arg changes to allow passing 'fast' easily for train/validate to avoid channels_last issue with AdaptiveAvgPool	4 years ago
Ross Wightman	9c297ec67d	Cleanup Apex vs native AMP scaler state save/load. Cleanup CheckpointSaver a bit.	4 years ago
Ross Wightman	80c9d9cc72	Add 'fast' global pool option, remove redundant SEModule from tresnet, normal one is now 'fast'	4 years ago
Ross Wightman	90a01f47d1	hrnet features_only pretrained weight loading issue. Fix #232.	4 years ago
Ross Wightman	110a7c4982	AdaptiveAvgPool2d -> mean((2,3)) for all SE/attn layers to avoid NaN with AMP + channels_last layout. See https://github.com/pytorch/pytorch/issues/43992	4 years ago
Ross Wightman	470220b1f4	Fix MobileNetV3 crash with global_pool='', output consistent with other models but not equivalent due to efficient head.	4 years ago
Ross Wightman	fc8b8afb6f	Fix a silly bug in Sample version of EvoNorm missing x* part of swish, update EvoNormBatch to accumulated unbiased variance.	4 years ago
Ross Wightman	0f5d9d8166	Add CSPResNet50 weights, 79.6 top-1 at 256x256	4 years ago
Ross Wightman	b1b6e7c361	Fix a few more issues related to #216 w/ TResNet (space2depth) and FP16 weights in wide resnets. Also don't completely dump pretrained weights in in_chans != 1 or 3 cases.	4 years ago
Ross Wightman	512b2dd645	Add new EfficientNet-B3 and RegNetY-3.2GF weights, both just over 82 top-1	4 years ago
Ross Wightman	6890300877	Add DropPath (stochastic depth) to RegNet	4 years ago
Yusuke Uchida	f6b56602f9	fix test_model_default_cfgs	4 years ago
Ross Wightman	d5145fa4d5	Change default_cfg names for senet to include the legacy and match model names	4 years ago
Ross Wightman	b1f1a54de9	More uniform treatment of classifiers across all models, reduce code duplication.	4 years ago
Ross Wightman	d72ddafe56	Fix some checkpoint / model str regressions	4 years ago
Ross Wightman	ac18adb9c3	Remove debug print from RexNet	4 years ago
Ross Wightman	ec4976fdba	Add EfficientNet-Lite0 weights trained with this code by @hal-314, 75.484 top-1	4 years ago
Ross Wightman	9ecd16bd7b	Add new seresnet50 (non-legacy) model weights, 80.274 top-1	4 years ago
Ross Wightman	7995295968	Merge branch 'logger' into features. Change 'logger' to '_logger'.	4 years ago
Ross Wightman	1998bd3180	Merge branch 'feature/AB/logger' of https://github.com/antoinebrl/pytorch-image-models into logger	4 years ago
Ross Wightman	6c17d57a2c	Fix some attributions, add copyrights to some file docstrings	4 years ago
Ross Wightman	a69c0e04f0	Fix pool size in cspnet	4 years ago
Ross Wightman	14ef7a0dd6	Rename csp.py -> cspnet.py	4 years ago
Ross Wightman	ec37008432	Add pretrained weight links to CSPNet for cspdarknet53, cspresnext50	4 years ago
Ross Wightman	08016e839d	Cleanup FeatureInfo getters, add TF models sourced Xception41/65/71 weights	4 years ago
Ross Wightman	7ba5a384d3	Add ReXNet w/ remapped weights, feature support	4 years ago
Ross Wightman	c9d54bc1c3	Add HRNet feature extraction, fix senet type, lower feature testing res to 96x96	4 years ago
Ross Wightman	2ac663f340	Add feature support to legacy senets, add 32x32 resnext models to exclude list for feature testing.	4 years ago