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9 Commits (231d04e91adca07f94ac32df8b5bdb8492281b0c)

Author SHA1 Message Date
Ross Wightman e8ca45854c More models in sotabench, more control over sotabench run, dataset filename extraction consistency 2020-09-24 15:56:57 -07:00
Ross Wightman 7995295968 Merge branch 'logger' into features. Change 'logger' to '_logger'. 2020-07-27 18:00:46 -07:00
Ross Wightman 1998bd3180 Merge branch 'feature/AB/logger' of https://github.com/antoinebrl/pytorch-image-models into logger 2020-07-27 16:06:01 -07:00
Ross Wightman 6c17d57a2c Fix some attributions, add copyrights to some file docstrings 2020-07-27 13:44:56 -07:00
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
 2020-06-09 18:28:48 +01:00
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
 2020-06-01 17:16:52 -07:00
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
 2020-02-10 11:55:03 -08:00
Ross Wightman a99ec4e7d1 A bunch more layer reorg, splitting many layers into own files. Improve torchscript compatibility. 2020-02-09 14:46:28 -08:00
Ross Wightman 13746a33fc Big move, layer modules and fn to timm/models/layers 2020-02-09 13:13:08 -08:00