5 Commits (01a0e25a67305b94ea767083f4113ff002e4435c)

Author	SHA1	Message	Date
Ross Wightman	a426511c95	More optimizer cleanup. Change all to no longer use .data. Improve (b)float16 use with adabelief. Add XLA compatible Lars.	3 years ago
Ross Wightman	55fb5eedf6	Remove experiment from lamb impl	3 years ago
Ross Wightman	ac469b50da	Optimizer improvements, additions, cleanup ... * Add MADGRAD code * Fix Lamb (non-fused variant) to work w/ PyTorch XLA * Tweak optimizer factory args (lr/learning_rate and opt/optimizer_name), may break compat * Use newer fn signatures for all add,addcdiv, addcmul in optimizers * Use upcoming PyTorch native Nadam if it's available * Cleanup lookahead opt * Add optimizer tests * Remove novograd.py impl as it was messy, keep nvnovograd * Make AdamP/SGDP work in channels_last layout * Add rectified adablief mode (radabelief) * Support a few more PyTorch optim, adamax, adagrad	3 years ago
Ross Wightman	cd3dc4979f	Fix adabelief imports, remove prints, preserve memory format is the default arg for zeros_like	4 years ago
juntang	addfc7c1ac	adabelief	4 years ago