added in the profiler a list of op that don't take float64 as input but generate…

theano/compile/profilemode.py

@@ -317,6 +317,16 @@ class ProfileMode(Mode):
         print 'Other time since import %.3fs %.1f%%'%(other_time,other_time/total_time*100)
         print '%i Theano fct call, %.3fs per call'%(total_fct_call, time_per_call)
         
+        #imported here to break circular dependency...
+        from theano.tensor.basic import as_tensor_variable
+        print
+        print "List of apply that don't have float64 as input but have float64 in outputs. Usefull to know if we forgot some cast when using floatX=float32 or gpu code."
+        print '<Apply> <inputs type> <outputs type>'
+        for fct in fct_call.keys():
+            for node in fct.maker.env.toposort():
+                if any(hasattr(i,'dtype') and i.dtype=='float64' for i in node.outputs) and not any(hasattr(i,'dtype') and i.dtype=='float64' for i in node.inputs):
+                    print str(node),str([getattr(i,'dtype',None) for i in node.inputs]),str([getattr(i,'dtype',None) for i in node.outputs])
+                        
         if any([x[2].__name__.startswith("Gpu") for x in sotimes]):
             cpu=[]
             gpu=[]
@@ -331,7 +341,7 @@ class ProfileMode(Mode):
             sum_cpu=sum(so[1] for so in cpu)
             sum_gpu=sum(so[1] for so in gpu)
             sum_trans=sum(so[1] for so in trans)
-            print sum_cpu+sum_gpu+sum_trans,local_time
+            print 
 
             print "Spent %.3fs(%.3f%%) in cpu Op, %.3fs(%.3f%%) in gpu Op and %.3fs(%.3f%%) transfert Op"%(
                 sum_cpu, sum_cpu/local_time*100, sum_gpu, sum_gpu/local_time*100, sum_trans, sum_trans/local_time*100)