diff --git a/GPy/kern/kern.py b/GPy/kern/kern.py
index f1a5bd45..87e67f33 100644
--- a/GPy/kern/kern.py
+++ b/GPy/kern/kern.py
@@ -399,7 +399,7 @@ class kern(parameterised):
 
         return target
 
-    def dpsi2_dtheta(self,dL_dpsi2,partial1,Z,mu,S,slices1=None,slices2=None):
+    def dpsi2_dtheta(self,dL_dpsi2,Z,mu,S,slices1=None,slices2=None):
         """Returns shape (N,M,M,Ntheta)"""
         slices1, slices2 = self._process_slices(slices1,slices2)
         target = np.zeros(self.Nparam)
diff --git a/GPy/models/sparse_GP.py b/GPy/models/sparse_GP.py
index ff00faea..e2019d99 100644
--- a/GPy/models/sparse_GP.py
+++ b/GPy/models/sparse_GP.py
@@ -208,7 +208,7 @@ class sparse_GP(GP):
         if self.has_uncertain_inputs:
             dL_dtheta += self.kern.dpsi0_dtheta(self.dL_dpsi0, self.Z,self.X,self.X_uncertainty)
             dL_dtheta += self.kern.dpsi1_dtheta(self.dL_dpsi1.T,self.Z,self.X, self.X_uncertainty)
-            dL_dtheta += self.kern.dpsi2_dtheta(self.dL_dpsi2,self.dL_dpsi1.T, self.Z,self.X, self.X_uncertainty)
+            dL_dtheta += self.kern.dpsi2_dtheta(self.dL_dpsi2, self.Z,self.X, self.X_uncertainty)
         else:
             dL_dtheta += self.kern.dK_dtheta(self.dL_dpsi1,self.Z,self.X)
             dL_dtheta += self.kern.dKdiag_dtheta(self.dL_dpsi0, self.X)