(self,n_channels, scale)
| 6 | |
| 7 | class L2Norm(nn.Module): |
| 8 | def __init__(self,n_channels, scale): |
| 9 | super(L2Norm,self).__init__() |
| 10 | self.n_channels = n_channels |
| 11 | self.gamma = scale or None |
| 12 | self.eps = 1e-10 |
| 13 | self.weight = nn.Parameter(torch.Tensor(self.n_channels)) |
| 14 | self.reset_parameters() |
| 15 | |
| 16 | def reset_parameters(self): |
| 17 | init.constant_(self.weight,self.gamma) |
nothing calls this directly
no test coverage detected