60a342edc8b501802135df44869353cc8604d838,gpytorch/kernels/rbf_kernel.py,RBFKernel,forward,#RBFKernel#Any#Any#,13

Before Change

        x1_squared = torch.bmm(x1.view(n, 1, d), x1.view(n, d, 1))
        x1_squared = x1_squared.view(n, 1).expand(n, m)
        x2_squared = torch.bmm(x2.view(m, 1, d), x2.view(m, d, 1))
        x2_squared = x2_squared.view(1, m).expand(n, m)
        res.sub_(x1_squared).sub_(x2_squared)  // res = -(x - z)^2

        res = res / (self.log_lengthscale.exp() + self.eps)  // res = -(x - z)^2 / lengthscale

After Change

        res = 2 * x1.matmul(x2.transpose(-1, -2))

        x1_squared = torch.matmul(x1.unsqueeze(-2), x1.unsqueeze(-1)).squeeze(-1)
        x2_squared = torch.matmul(x2.unsqueeze(-2), x2.unsqueeze(-1)).squeeze(-1).transpose(-1, -2)
        res.sub_(x1_squared).sub_(x2_squared)  // res = -(x - z)^2

        res = res / (self.log_lengthscale.exp() + self.eps)  // res = -(x - z)^2 / lengthscale

Instances