1b93cfeca5f2503eafc4ec773353254cf077fb9f,torchdiffeq/_impl/fixed_adams.py,AdamsBashforthMoulton,_has_converged,#AdamsBashforthMoulton#Any#Any#,171

Before Change

        Checks that each element is within the error tolerance.
        error_tol = _error_tol(self.rtol, self.atol, y0, y1)
        error = tuple(torch.abs(y0_ - y1_) for y0_, y1_ in zip(y0, y1))
        return all((error_ < error_tol_).all() for error_, error_tol_ in zip(error, error_tol))

    def _step_func(self, func, t, dt, y):
        self._update_history(t, func(t, y))

After Change

        Checks that each element is within the error tolerance.
        error_tol = _error_tol(self.rtol, self.atol, y0, y1)
        error = torch.abs(y0 - y1)
        return (error < error_tol).all()

    def _step_func(self, func, t, dt, y):
        self._update_history(t, func(t, y))
        order = min(len(self.prev_f), self.max_order - 1)

Instances