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on
Zero
Running
on
Zero
import torch | |
from torch import nn | |
def get_loss(name): | |
if name == "cosface": | |
return CosFace() | |
elif name == "arcface": | |
return ArcFace() | |
else: | |
raise ValueError() | |
class CosFace(nn.Module): | |
def __init__(self, s=64.0, m=0.40): | |
super(CosFace, self).__init__() | |
self.s = s | |
self.m = m | |
def forward(self, cosine, label): | |
index = torch.where(label != -1)[0] | |
m_hot = torch.zeros(index.size()[0], cosine.size()[1], device=cosine.device) | |
m_hot.scatter_(1, label[index, None], self.m) | |
cosine[index] -= m_hot | |
ret = cosine * self.s | |
return ret | |
class ArcFace(nn.Module): | |
def __init__(self, s=64.0, m=0.5): | |
super(ArcFace, self).__init__() | |
self.s = s | |
self.m = m | |
def forward(self, cosine: torch.Tensor, label): | |
index = torch.where(label != -1)[0] | |
m_hot = torch.zeros(index.size()[0], cosine.size()[1], device=cosine.device) | |
m_hot.scatter_(1, label[index, None], self.m) | |
cosine.acos_() | |
cosine[index] += m_hot | |
cosine.cos_().mul_(self.s) | |
return cosine | |