Make sure dtype is int64 as before and comment code that isn't used.

theano/sandbox/rng_mrg.py

@@ -26,7 +26,9 @@ if cuda_available:
     from theano.sandbox.cuda import (CudaNdarrayType,
                                      float32_shared_constructor)
 
+
 def matVecModM(A, s, m):
+    assert A.dtype == 'int64'
     return numpy.int32(numpy.sum((A*s) % m, 1) % m)
 
 
@@ -53,24 +55,30 @@ MASK2 = numpy.int32(65535)      #2^16 - 1
 MULT2 = numpy.int32(21069)
 NORM = 4.656612873077392578125e-10; #1./2^31
 
-A1p0 = numpy.asarray([[0, 4194304, 129], [1, 0, 0], [0, 1, 0]])
-A2p0 = numpy.asarray([[32768, 0, 32769], [1, 0, 0], [0, 1, 0]])
+#A1p0 = numpy.asarray([[0, 4194304, 129], [1, 0, 0], [0, 1, 0]],
+#                      dtype='int64')
+#A2p0 = numpy.asarray([[32768, 0, 32769], [1, 0, 0], [0, 1, 0]],
+#                      dtype='int64')
 
 A1p72 = numpy.asarray([[1516919229, 758510237, 499121365],
                        [1884998244, 1516919229, 335398200],
-                       [601897748, 1884998244, 358115744]])
+                       [601897748, 1884998244, 358115744]],
+                      dtype='int64')
 A2p72 = numpy.asarray([[1228857673, 1496414766, 954677935],
                        [1133297478, 1407477216, 1496414766],
-                       [2002613992, 1639496704, 1407477216]])
+                       [2002613992, 1639496704, 1407477216]],
+                      dtype='int64')
 
 A1p134 = numpy.asarray(
     [[1702500920, 1849582496, 1656874625],
      [828554832, 1702500920, 1512419905],
-     [1143731069, 828554832, 102237247]])
+     [1143731069, 828554832, 102237247]],
+    dtype='int64')
 A2p134 = numpy.asarray(
     [[796789021, 1464208080, 607337906],
      [1241679051, 1431130166, 1464208080],
-     [1401213391, 1178684362, 1431130166]])
+     [1401213391, 1178684362, 1431130166]],
+    dtype='int64')
 np_int32_vals = [numpy.int32(i) for i in (0, 7, 9, 15, 16, 22, 24)]