4e82a8a494e4f6e103425557d15ac2247f7835dc,gpytorch/kernels/kernel.py,ProductKernel,forward,#ProductKernel#Any#Any#,257

Before Change

        self.kernels = ModuleList(kernels)

    def forward(self, x1, x2):
        return prod([k(x1, x2).evaluate_kernel() for k in self.kernels])

After Change

        res = self.kernels[0](x1, x2, **params)
        for kern in self.kernels[1:]:
            next_term = kern(x1, x2, **params)
            if isinstance(next_term, LazyEvaluatedKernelTensor):
                next_term = next_term.evaluate_kernel()
            res = res * next_term
        return res

Instances