pytorch 用F.normalization的逆归一化如何操作
逆归一化的时候再把这个数乘回去就行了
magnitude = a.norm(p=2, dim=1, keepdim=True) # NEW
a=torch.nn.functional.normalize(a, p=2, dim=1)
a_or= a* magnitude # NEW
print(a_or)
Outputs:
tensor([]1,2,3)
逆归一化的时候再把这个数乘回去就行了
magnitude = a.norm(p=2, dim=1, keepdim=True) # NEW
a=torch.nn.functional.normalize(a, p=2, dim=1)
a_or= a* magnitude # NEW
print(a_or)
Outputs:
tensor([]1,2,3)