fix some small printf warning on type format.

theano/tensor/nnet/conv.py

@@ -1516,7 +1516,7 @@ if(mode != VALID && mode != FULL){
 
 if(dim_zz[0]<=0 || dim_zz[1]<=0){
 PyErr_Format(PyExc_ValueError,
-      "Output dimensions are not valid %%dx%%d",dim_zz[0],dim_zz[1]);
+      "Output dimensions are not valid %%ldx%%ld",(long int)dim_zz[0],(long int)dim_zz[1]);
       %(fail)s;
 }
 

theano/tensor/nnet/nnet.py

@@ -720,14 +720,14 @@ class CrossentropySoftmax1HotWithBiasDx (gof.Op):
         }
         if (%(dnll)s->dimensions[0] != %(sm)s->dimensions[0])
         {
-            PyErr_Format(PyExc_ValueError, "dnll.shape[0] (%%d) != sm.shape[0] (%%d)",
-                        %(dnll)s->dimensions[0], %(sm)s->dimensions[0]);
-            //PyErr_SetString(PyExc_ValueError, "dnll.shape[0] != sm.shape[0]");
+            PyErr_Format(PyExc_ValueError, "dnll.shape[0] (%%ld) != sm.shape[0] (%%ld)",
+                        (long int)%(dnll)s->dimensions[0], (long int)%(sm)s->dimensions[0]);
             %(fail)s;
         }
         if (%(dnll)s->dimensions[0] != %(y_idx)s->dimensions[0])
         {
-            PyErr_SetString(PyExc_ValueError, "dnll.shape[0] != y_idx.shape[0]");
+            PyErr_Format(PyExc_ValueError, "dnll.shape[0] (%%ld) != y_idx.shape[0] (%%ld)",
+                        (long int)%(dnll)s->dimensions[0], (long int)%(y_idx)s->dimensions[0]);
             %(fail)s;
         }
         if ((NULL == %(dx)s)