Created
January 13, 2021 10:07
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class NoamOpt: | |
"Optim wrapper that implements rate." | |
def __init__(self, model_size, factor, warmup, optimizer): | |
self.optimizer = optimizer | |
self._step = 0 | |
self.warmup = warmup | |
self.factor = factor | |
self.model_size = model_size | |
self._rate = 0 | |
def step(self): | |
"Update parameters and rate" | |
self._step += 1 | |
rate = self.rate() | |
for p in self.optimizer.param_groups: | |
p['lr'] = rate | |
self._rate = rate | |
self.optimizer.step() | |
def rate(self, step = None): | |
"Implement `lrate` above" | |
if step is None: | |
step = self._step | |
return self.factor * \ | |
(self.model_size ** (-0.5) * | |
min(step ** (-0.5), step * self.warmup ** (-1.5))) | |
def get_std_opt(model): | |
return NoamOpt(model.src_embed[0].d_model, 2, 4000, | |
torch.optim.Adam(model.parameters(), lr=0, betas=(0.9, 0.98), eps=1e-9)) |
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