(self, dim: int, eps: float = 1e-6)
| 127 | """ |
| 128 | |
| 129 | def __init__(self, dim: int, eps: float = 1e-6): |
| 130 | super().__init__() |
| 131 | self.eps = eps |
| 132 | self.weight = nn.Parameter(torch.ones(dim)) |
| 133 | |
| 134 | def _norm(self, x: torch.Tensor): |
| 135 | return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps) |