11 Commits (e8e8bce3354af28953d5f1e2dd6dffa8e115a167)

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	6 years ago
Ross Wightman	63e677d03b	Merge branch 'master' of github.com:rwightman/pytorch-models	6 years ago
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	6 years ago
Ross Wightman	c0e6e5f3db	Add common model interface to pnasnet and xception, update factory	6 years ago
Ross Wightman	183d8e4aef	Xception model working	6 years ago
Ross Wightman	45cde6f0c7	Improve creation of data pipeline with prefetch enabled vs disabled, fixup inception_res_v2 and dpn models	6 years ago
Ross Wightman	2295cf56c2	Add some Nvidia performance enhancements (prefetch loader, fast collate), and refactor some of training and model fact/transforms	6 years ago
Ross Wightman	1577c52976	Resnext added, changes to bring it and seresnet in line with rest of models	6 years ago
Ross Wightman	e0cfeb7d8e	Add some models, remove a model, tweak some models	6 years ago
Ross Wightman	cf0c280e1b	Cleanup tranforms, add custom schedulers, tweak senet34 model	6 years ago
Ross Wightman	5855b07ae0	Initial commit, puting some ol pieces together	6 years ago