4a28bbf9659d96e15f0f241bcab76381e299097c,pymanopt/autodiff/backends/_tensorflow.py,_TensorFlowBackend,compute_gradient,#_TensorFlowBackend#Any#Any#,69

Before Change

                                           flatten_arguments(points))
            }
            return self._session.run(gradient, feed_dict)
        return group_return_values(nary_gradient, arguments)

    @staticmethod
    def _hessian_vector_product(function, arguments, vectors):
        Multiply the Hessian of `function` w.r.t. `arguments` by `vectors`.

After Change

            return self._session.run(gradients, feed_dict)
        if len(variables) == 1:
            return unpack_singleton_iterable_return_value(gradient)
        return gradient

    @staticmethod
    def _hessian_vector_product(function, arguments, vectors):
        Multiply the Hessian of `function` w.r.t. `arguments` by `vectors`.

Instances