2 Commits (b0265ef8a6f4cdeafaf463bfae62ce27a43ac866)

Author	SHA1	Message	Date
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	4 years ago
Ross Wightman	80078c47bb	Add Adafactor and Adahessian optimizers, cleanup optimizer arg passing, add gradient clipping support.	5 years ago