Commit Graph

11 Commits (c328b155e93dc637efd484cc43f4c5f3353a167e)

Author SHA1 Message Date
Ross Wightman 9c3859fb9c Uniform pretrained model handling.
* All models have 'default_cfgs' dict
* load/resume/pretrained helpers factored out
* pretrained load operates on state_dict based on default_cfg
* test all models in validate
* schedule, optim factor factored out
* test time pool wrapper applied based on default_cfg
2019-04-11 21:32:16 -07:00
Ross Wightman 63e677d03b Merge branch 'master' of github.com:rwightman/pytorch-models 2019-04-10 14:55:54 -07:00
Ross Wightman 0bc50e84f8 Lots of refactoring and cleanup.
* Move 'test time pool' to Module that can be used by any model, remove from DPN
* Remove ResNext model file and combine with ResNet
* Remove fbresnet200 as it was an old conversion and pretrained performance not worth param count
* Cleanup adaptive avgmax pooling and add back conctat variant
* Factor out checkpoint load fn
2019-04-10 14:53:34 -07:00
Ross Wightman c0e6e5f3db Add common model interface to pnasnet and xception, update factory 2019-04-06 13:59:15 -07:00
Ross Wightman 183d8e4aef Xception model working 2019-04-05 12:09:25 -07:00
Ross Wightman 45cde6f0c7 Improve creation of data pipeline with prefetch enabled vs disabled, fixup inception_res_v2 and dpn models 2019-03-11 22:17:42 -07:00
Ross Wightman 2295cf56c2 Add some Nvidia performance enhancements (prefetch loader, fast collate), and refactor some of training and model fact/transforms 2019-03-10 14:23:16 -07:00
Ross Wightman 1577c52976 Resnext added, changes to bring it and seresnet in line with rest of models 2019-03-01 15:44:04 -08:00
Ross Wightman e0cfeb7d8e Add some models, remove a model, tweak some models 2019-03-01 13:08:35 -08:00
Ross Wightman cf0c280e1b Cleanup tranforms, add custom schedulers, tweak senet34 model 2019-02-06 20:19:11 -08:00
Ross Wightman 5855b07ae0 Initial commit, puting some ol pieces together 2019-02-01 22:07:34 -08:00