4a28bbf9659d96e15f0f241bcab76381e299097c,pymanopt/autodiff/backends/_autograd.py,_AutogradBackend,compute_gradient,#_AutogradBackend#,39

Before Change

    def compute_gradient(self, function, arguments):
        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):
        num_arguments = len(arguments)

After Change

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

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

Instances