* use cuda streams for activation offloading * use torch native ops * update cfg schema for streams * fix literal constructor for set * use context for training step so it doesn't affect evals * disable streams * auto gc on eval steps * use activation_offloading config arg * add docs for gradient checkpointing * handle validation for gc/ao * use cuda streams for act offloading * add more validation for AC w/o GC * fix docs * move activation_offloading lower in definition so it doesn't break args/kwargs * fix kd due to import order
997 B
997 B