e95aef6716ee8b2e0b647468ffe7f5bf37d4ce47,gpytorch/lazy/lazy_tensor.py,LazyTensor,_mul_matrix,#LazyTensor#Any#,423

Before Change

            :obj:`gpytorch.lazy.LazyTensor`
        
        from .mul_lazy_tensor import MulLazyTensor
        return MulLazyTensor(self, other).evaluate_kernel()

    def _preconditioner(self):
        
        (Optional) define a preconditioner (P) for linear conjugate gradients

After Change

        from .non_lazy_tensor import NonLazyTensor
        from .mul_lazy_tensor import MulLazyTensor

        self = self.evaluate_kernel()
        other = other.evaluate_kernel()
        if isinstance(self, NonLazyTensor) or isinstance(other, NonLazyTensor):
            return NonLazyTensor(self.evaluate() * other.evaluate())
        else:

Instances