theano works on 32-bit architectures

theano/tensor/basic.py

@@ -713,7 +713,7 @@ class Shape(Op):
         x = as_tensor(x)
         return Apply(self, [x], [lvector()])
     def perform(self, node, (x, ), (out, )):
-        out[0] = numpy.asarray(x.shape)
+        out[0] = numpy.asarray(x.shape, dtype = 'int64')
     def grad(self, (x,), (gz,)):
         return [None]
 @_redefine_asRoutine(Shape())

theano/tensor/raw_random.py

@@ -55,8 +55,9 @@ class RandomFunction(gof.Op):
             r = copy(r)
         rout[0] = r
         rval = self.fn(r, *(args + [shape]))
-        if not isinstance(rval, numpy.ndarray):
-            out[0] = numpy.asarray(rval, dtype = node.outputs[0].type.dtype)
+        if not isinstance(rval, numpy.ndarray) \
+               or str(rval.dtype) != node.outputs[1].type.dtype:
+            out[0] = numpy.asarray(rval, dtype = node.outputs[1].type.dtype)
         else:
             out[0] = rval