diff --git a/examples/python/tensorflow/run.py b/examples/python/tensorflow/run.py
index 96e3cb309..e30be57e1 100644
--- a/examples/python/tensorflow/run.py
+++ b/examples/python/tensorflow/run.py
@@ -78,16 +78,16 @@ def run_shift():
                                     extra_feed_dict={a: ha, b: hb})
     dx_t, dx_n = grads[0]
     dw_t, dw_n = grads[1]
-    print(dw_t)
-    print(dw_n)
-    print(np.max(dw_t - dw_n))
+    print(dx_t)
+    print(dx_n)
+    #print(np.max(dw_t - dw_n))
     #np.savetxt('diff.dat', dw_t - dw_n, fmt='%2.4f')
     #np.savetxt('theoretical.dat', dw_t, fmt='%2.4f')
     #np.savetxt('numerical.dat', dw_n, fmt='%2.4f')
     print(np.max(dx_t - dx_n))
-    #np.savetxt('diff.dat', dx_t - dx_n, fmt='%2.4f')
-    #np.savetxt('theoretical.dat', dx_t, fmt='%2.4f')
-    #np.savetxt('numerical.dat', dx_n, fmt='%2.4f')
+    np.savetxt('diff.dat', dx_t - dx_n, fmt='%2.4f')
+    np.savetxt('theoretical.dat', dx_t, fmt='%2.4f')
+    np.savetxt('numerical.dat', dx_n, fmt='%2.4f')
     # Run
     sess.run(tf.global_variables_initializer())
     result = sess.run([c], feed_dict = {a: ha,
diff --git a/lib/dnn/shift.cpp b/lib/dnn/shift.cpp
index c7013e281..f70991635 100644
--- a/lib/dnn/shift.cpp
+++ b/lib/dnn/shift.cpp
@@ -88,7 +88,7 @@ void shift::build_deltas() {
   }
   if(ty_ == WGRAD){
     for(unsigned c = 0; c < C_; c++)
-      h_deltas_[c] = shift_h_[c]*ld_b_[1] + shift_w_[c]*ld_b_[2];
+      h_deltas_[c] = -shift_h_[c]*ld_b_[1] + -shift_w_[c]*ld_b_[2];
   }
 }