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Update to comply with newer versions of pytorch #27

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Update to comply with newer versions of pytorch #27

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6 changes: 3 additions & 3 deletions adabound/adabound.py
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Original file line number Diff line number Diff line change
Expand Up @@ -88,11 +88,11 @@ def step(self, closure=None):
state['step'] += 1

if group['weight_decay'] != 0:
grad = grad.add(group['weight_decay'], p.data)
grad = grad.add(p.data, alpha=group['weight_decay'])

# Decay the first and second moment running average coefficient
exp_avg.mul_(beta1).add_(1 - beta1, grad)
exp_avg_sq.mul_(beta2).addcmul_(1 - beta2, grad, grad)
exp_avg.mul_(beta1).add_(grad, alpha=1 - beta1)
exp_avg_sq.mul_(beta2).addcmul_(grad, grad, value=1 - beta2)
if amsbound:
# Maintains the maximum of all 2nd moment running avg. till now
torch.max(max_exp_avg_sq, exp_avg_sq, out=max_exp_avg_sq)
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