8 Commits (7419e9835f49de6f35c5343e7033596d2a61bfe8)

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	5 years ago
Ross Wightman	780c0a96a4	Change args for RandomErasing so only one required for pixel/color mode	5 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	5 years ago
Ross Wightman	0a853990e7	Add distributed sampler that maintains order of original dataset (for validation)	5 years ago
Ross Wightman	71afec86d3	Loader tweaks	5 years ago
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	5 years ago
Ross Wightman	c328b155e9	Random erasing crash fix and args pass through	5 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	5 years ago