def maybe_update_lr(self, epoch=None):
if epoch is None:
ep = self.epoch + 1
else:
ep = epoch
if ep < 1000:
self.optimizer.param_groups[0]['lr'] = poly_lr(
ep, 1000, self.initial_lr, 0.9)
self.print_to_log_file("lr:",
poly_lr(ep, 1000, self.initial_lr, 0.9))
else:
new_lr = cycle_lr(
ep, 200, min_lr=1e-6,
max_lr=1e-2) # we don't go all the way back up to initial lr
self.optimizer.param_groups[0]['lr'] = new_lr
self.print_to_log_file("lr:", new_lr)
def maybe_update_lr(self, epoch=None):
if epoch is None:
ep = self.epoch + 1
else:
ep = epoch
for idx, (opt, _) in enumerate(self.opt_loss):
opt.param_groups[0]['lr'] = poly_lr(ep, self.max_num_epochs, self.initial_lrs[idx], 0.9)
self.print_to_log_file("lr:", np.round(opt.param_groups[0]['lr'], decimals=6))
def maybe_update_lr(self, epoch=None):
"""
if epoch is not None we overwrite epoch. Else we use epoch = self.epoch + 1
(maybe_update_lr is called in on_epoch_end which is called before epoch is incremented.
herefore we need to do +1 here)
:param epoch:
:return:
"""
if epoch is None:
ep = self.epoch + 1
else:
ep = epoch
self.optimizer.param_groups[0]['lr'] = poly_lr(ep, self.max_num_epochs, self.initial_lr, 0.9)
self.print_to_log_file("lr:", np.round(self.optimizer.param_groups[0]['lr'], decimals=6))
def maybe_update_lr(self, epoch=None):
"""
here we go one step, then use polyLR
:param epoch:
:return:
"""
if epoch is None:
ep = self.epoch + 1
else:
ep = epoch
if 0 <= ep < 500:
new_lr = self.initial_lr
elif 500 <= ep < 675:
new_lr = self.initial_lr * 0.1
elif ep >= 675:
new_lr = poly_lr(ep - 675, self.max_num_epochs - 675,
self.initial_lr * 0.1, 0.9)
else:
raise RuntimeError("Really unexpected things happened, ep=%d" % ep)
self.optimizer.param_groups[0]['lr'] = new_lr
self.print_to_log_file("lr:", self.optimizer.param_groups[0]['lr'])
