* Create nodes_dataset.py * Add encoded dataset caching mechanism * make training node to work with our dataset system * allow trainer node to get different resolution dataset * move all dataset related implementation to nodes_dataset * Rewrite dataset system with new io schema * Rewrite training system with new io schema * add ui pbar * Add outputs' id/name * Fix bad id/naming * use single process instead of input list when no need * fix wrong output_list flag * use torch.load/save and fix bad behaviors
29 KiB
29 KiB