5 Commits (4efecfdc479a1cd05fba46712d7b2d6572bd539b)

Author	SHA1	Message	Date
Ross Wightman	4d2056722a	Mixup and prefetcher improvements ... * Do mixup in custom collate fn if prefetcher enabled, reduces performance impact * Move mixup code to own file * Add arg to disable prefetcher * Fix no cuda transfer when prefetcher off * Random erasing when prefetcher off wasn't changed to match new args, fixed * Default random erasing to off (prob = 0.) for train	6 years ago
Ross Wightman	76539d905e	Some transform/data/loader refactoring, hopefully didn't break things ... * factor out data related constants to own file * move data related config helpers to own file * add a variant of RandomResizeCrop that randomizes interpolation method * remove old Numpy version of RandomErasing * cleanup torch version of RandomErasing and use it in either GPU loader batch mode or single image cpu Transform	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	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