use numpy.dumps() to pickle function parameters

theano/compile/function_module.py

@@ -319,11 +319,23 @@ def _pickle_Function(f):
         else:
             defaults.append(ins[0])
             del ins[0]
-    return (_constructor_Function, (f.maker, defaults, [x.data for x in f.input_storage]))
+
+    def numpysucks(obj):
+        #this is to workaround a finding that cPickle.dumps(a) is often much bigger than
+        # a.dumps() --JB:20090202
+        if type(obj) is numpy.ndarray:
+            return ('__numpysucks__', obj.dumps())
+        else:
+            return obj
+    return (_constructor_Function, (f.maker, defaults, [numpysucks(x.data) for x in f.input_storage]))
 
 def _constructor_Function(maker, defaults, data):
     f = maker.create(defaults, trustme = True)
+    assert len(f.input_storage) == len(data)
     for container, x in zip(f.input_storage, data):
+        if type(x) is tuple and len(x) == 2 and x[0] == '__numpysucks__':
+            container.data = numpy.loads(x[1])
+        else:
             container.data = x
     return f