eac38dbe9694bdfa6c2050528d8cc6a64747e933,pymanopt/autodiff/backends/_autograd.py,_AutogradBackend,compute_gradient,#_AutogradBackend#,38

Before Change

        // in the form of `arguments`. This is because autograd wraps tuples and
        // lists in `SequenceBox` types which are not derived from tuple or list
        // so we cannot detect nested arguments automatically.
        unary_function = unpack_arguments(function, signature=arguments)
        return autograd.grad(unary_function)

    @staticmethod
    def _compute_nary_hessian_vector_product(function):
        gradient = autograd.grad(function)

After Change

        num_arguments = len(arguments)
        gradient = autograd.grad(function, argnum=list(range(num_arguments)))
        if num_arguments > 1:
            return gradient
        return self._unpack_return_value(gradient)

    @Backend._assert_backend_available
    def compute_hessian_vector_product(self, function, arguments):

Instances