diff --git a/metastable_baselines/distributions/distributions.py b/metastable_baselines/distributions/distributions.py
index ccacbef..e9b4222 100644
--- a/metastable_baselines/distributions/distributions.py
+++ b/metastable_baselines/distributions/distributions.py
@@ -379,26 +379,24 @@ class CholNet(nn.Module):
         # S[i,j] e (0, pi)   where i = 2..n, j = 2..i
         # We already ensure S > 0 in _chol_from_flat_sphe_chol
         # We ensure < pi by applying tanh*pi to all applicable elements
-        #import pdb
-        # pdb.set_trace()
         S = sphe_chol
         n = self.action_dim
         L = th.zeros_like(sphe_chol)
         for i in range(n):
             t = 1
-            s = ''
+            #s = ''
             for j in range(i+1):
                 maybe_cos = 1
-                s_maybe_cos = ''
+                #s_maybe_cos = ''
                 if i != j:
                     maybe_cos = th.cos(th.tanh(S[i, j+1])*pi)
                     s_maybe_cos = 'cos([l_'+str(i+1)+']_'+str(j+2)+')'
                 L[i, j] = S[i, 0] * t * maybe_cos
-                print('[L_'+str(i+1)+']_'+str(j+1) +
-                      '=[l_'+str(i+1)+']_1'+s+s_maybe_cos)
+                # print('[L_'+str(i+1)+']_'+str(j+1) +
+                #      '=[l_'+str(i+1)+']_1'+s+s_maybe_cos)
                 if j <= i and j < n-1 and i < n:
                     t *= th.sin(th.tanh(S[i, j+1])*pi)
-                    s += 'sin([l_'+str(i+1)+']_'+str(j+2)+')'
+                    #s += 'sin([l_'+str(i+1)+']_'+str(j+2)+')'
         return L
 
     def _ensure_positive_func(self, x):