14 Commits (856f6181f73f5d3f55a03cc5330d50c4924ae78e)

Author	SHA1	Message	Date
Ross Wightman	7be299504f	Add missing feature_info() on MobileNetV3, make hook feature output order/type consistent with bottleneck (list, decreasing fmap size)	5 years ago
Ross Wightman	eb7653614f	Monster commit, activation refactor, VoVNet, norm_act improvements, more ... * refactor activations into basic PyTorch, jit scripted, and memory efficient custom auto * implement hard-mish, better grad for hard-swish * add initial VovNet V1/V2 impl, fix #151 * VovNet and DenseNet first models to use NormAct layers (support BatchNormAct2d, EvoNorm, InplaceIABN) * Wrap IABN for any models that use it * make more models torchscript compatible (DPN, PNasNet, Res2Net, SelecSLS) and add tests	5 years ago
Ross Wightman	0ea53cecc3	Merge branch 'master' into densenet_update_and_more	5 years ago
Ross Wightman	afb6bd0669	Add backward and default_cfg tests and fix a few issues found. Fix #153	5 years ago
Vyacheslav Shults	a7ebe09029	Replace all None by nn.Identity() in all models reset_classifier when False-values num_classes is given. ... Make small code refactoring	5 years ago
Alexey Chernov	bdb165a8a4	Merge changes in feature extraction interface to MobileNetV3 ... Experimental feature extraction interface seems to be changed a little bit with the most up to date version apparently found in EfficientNet class. Here these changes are added to MobileNetV3 class to make it support it and work again, too.	5 years ago
Ross Wightman	c16f25ced2	Add MobileNetV3 Large weights, results, update README and sotabench for merge	5 years ago
Ross Wightman	43225d110c	Unify drop connect vs drop path under 'drop path' name, switch all EfficientNet/MobilenetV3 refs to 'drop_path'. Update factory to handle new drop args.	5 years ago
Ross Wightman	f902bcd54c	Layer refactoring continues, ResNet downsample rewrite for proper dilation in 3x3 and avg_pool cases ... * select_conv2d -> create_conv2d * added create_attn to create attention module from string/bool/module * factor padding helpers into own file, use in both conv2d_same and avg_pool2d_same * add some more test eca resnet variants * minor tweaks, naming, comments, consistency	5 years ago
Ross Wightman	a99ec4e7d1	A bunch more layer reorg, splitting many layers into own files. Improve torchscript compatibility.	5 years ago
Ross Wightman	13746a33fc	Big move, layer modules and fn to timm/models/layers	5 years ago
Ross Wightman	3bef524f9c	Finish with HRNet, weights and models updated. Improve consistency in model classifier/global pool treatment.	5 years ago
Ross Wightman	6ca0828166	Update EfficientNet comments, MobileNetV3 non-TF create fns, fix factory arg checks, bump PyTorch version req to 1.2	5 years ago
Ross Wightman	a39cc43374	Bring EfficientNet and MobileNetV3 up to date with my gen-efficientnet repo ... * Split MobileNetV3 and EfficientNet model files and put builder and blocks in own files (getting too large) * Finalize CondConv EfficientNet variant * Add the AdvProp weights files and B8 EfficientNet model * Refine the feature extraction module for EfficientNet and MobileNetV3	5 years ago