10cb719041b531cb25e485f928ccb545a475a71a,gpytorch/kernels/periodic_kernel.py,PeriodicKernel,forward,#PeriodicKernel#Any#Any#,34

Before Change

    def forward(self, x1, x2):
        lengthscale = (self.log_lengthscale.exp() + self.eps).sqrt_()
        period_length = (self.log_period_length.exp() + self.eps).sqrt_()
        diff = torch.sum((x1.unsqueeze(2) - x2.unsqueeze(1)).abs(), -1)
        res = -2 * torch.sin(math.pi * diff / period_length).pow(2) / lengthscale
        return res.exp()

After Change

        return self.log_period_length.exp().clamp(self.eps, 1e5)

    def forward(self, x1, x2):
        x1_, x2_ = self._create_input_grid(x1, x2)
        x1_ = x1_.div(self.period_length)
        x2_ = x2_.div(self.period_length)

        diff = torch.sum((x1_ - x2_).abs(), -1)

Instances