9 Commits (c16e9650371d167dcb38669aa1280caba2c69dcd)

Author	SHA1	Message	Date
Ross Wightman	e8ca45854c	More models in sotabench, more control over sotabench run, dataset filename extraction consistency	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
Antoine Broyelle	78fa0772cc	Leverage python hierachical logger ... with this update one can tune the kind of logs generated by timm but training and inference traces are unchanged	4 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	4 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	4 years ago
Ross Wightman	a99ec4e7d1	A bunch more layer reorg, splitting many layers into own files. Improve torchscript compatibility.	4 years ago
Ross Wightman	13746a33fc	Big move, layer modules and fn to timm/models/layers	4 years ago