4bca716c8413a8eabdce56ad8468db3f1f145b51,gpytorch/lazy/lazy_tensor.py,LazyTensor,_quad_form_derivative,#LazyTensor#Any#Any#,94

Before Change

            :obj:`torch.tensor`: derivative with respect to the arguments that are actually used to represent this
                                   this LazyTensor.
        
        raise NotImplementedError(
            "The class {} requires a _quad_form_derivative function!".format(self.__class__.__name__)
        )

    def _size(self):
        
        Returns the size of the resulting Tensor that the lazy tensor represents.

After Change

            :obj:`torch.tensor`: derivative with respect to the arguments that are actually used to represent this
                                   this LazyTensor.
        
        args = self.representation()
        for arg in args:
            arg.requires_grad = True

        loss = (left_vecs * self._matmul(right_vecs)).sum()
        grads = torch.autograd.grad(loss, args)

        for arg in args:
            arg.requires_grad = False

        return grads

    def _size(self):
        
        Returns the size of the resulting Tensor that the lazy tensor represents.

Instances