3 Commits (bc3d4eb403b9f40c23ed5bedd8875bba911e3cdc)

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	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
Sangdoo Yun	e93e571f7a	Add `adamp` and 'sgdp' optimizers. ... Update requirements.txt Update optim_factory.py Add `adamp` optimizer Update __init__.py copy files of adamp & sgdp Create adamp.py Update __init__.py Create sgdp.py Update optim_factory.py Update optim_factory.py Update requirements.txt Update adamp.py Update sgdp.py Update sgdp.py Update adamp.py	4 years ago