10 Commits (0562b91c38e6856ef3b130d6d48b495453bfc676)

Author	SHA1	Message	Date
Ross Wightman	0562b91c38	Add per model crop pct, interpolation defaults, tie it all together ... * create one resolve fn to pull together model defaults + cmd line args * update attribution comments in some models * test update train/validation/inference scripts	6 years ago
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	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	58571e992e	Change block avgpool in senets to mean for performance issues with NVIDIA and AMP especially	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	31055466fc	Fixup validate/inference script args, fix senet init for better test accuracy	6 years ago
Ross Wightman	b5255960d9	Tweaking tanh scheduler, senet weight init (for BN), transform defaults	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