from torch_geometric.graphgym.config import cfg
def is_train_eval_epoch(cur_epoch):
"""Determines if the model should be evaluated at the training epoch."""
return is_eval_epoch(cur_epoch) or not cfg.train.skip_train_eval
[docs]def is_eval_epoch(cur_epoch):
"""Determines if the model should be evaluated at the current epoch."""
return ((cur_epoch + 1) % cfg.train.eval_period == 0 or cur_epoch == 0
or (cur_epoch + 1) == cfg.optim.max_epoch)
[docs]def is_ckpt_epoch(cur_epoch):
"""Determines if the model should be evaluated at the current epoch."""
return ((cur_epoch + 1) % cfg.train.ckpt_period == 0
or (cur_epoch + 1) == cfg.optim.max_epoch)