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Allow multi_step_lr_scheduler to load a new LR schedule when restoring state

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James Betker 2020-07-31 11:21:11 -06:00
parent e37726f302
commit 6b45b35447
1 changed files with 6 additions and 0 deletions
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6
codes/models/lr_scheduler.py
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@ -54,6 +54,12 @@ class MultiStepLR_Restart(_LRScheduler):
for group in self.optimizer.param_groups for group in self.optimizer.param_groups
] ]
# Allow this scheduler to use newly appointed milestones partially through a training run..
def load_state_dict(self, s):
milestones_cache = self.milestones
super(MultiStepLR_Restart, self).load_state_dict(s)
self.milestones = milestones_cache
class CosineAnnealingLR_Restart(_LRScheduler): class CosineAnnealingLR_Restart(_LRScheduler):
def __init__(self, optimizer, T_period, restarts=None, weights=None, eta_min=0, last_epoch=-1): def __init__(self, optimizer, T_period, restarts=None, weights=None, eta_min=0, last_epoch=-1):