Other speed up.

theano/sandbox/rng_mrg.py

@@ -47,19 +47,19 @@ def multMatVect(v, A, m1, B, m2):
 
         multMatVect.dot_modulo = function([A_sym, s_sym, m_sym],
                                           DotModulo()(A_sym, s_sym, m_sym))
-
     r = numpy.zeros_like(v)
 
     # This way of calling the Theano fct is done to bypass Theano overhead.
-    multMatVect.dot_modulo.input_storage[0].storage[0] = A
-    multMatVect.dot_modulo.input_storage[1].storage[0] = v[:3]
-    multMatVect.dot_modulo.input_storage[2].storage[0] = m1
-    r[:3] = multMatVect.dot_modulo.fn()[0]
+    f = multMatVect.dot_modulo
+    f.input_storage[0].storage[0] = A
+    f.input_storage[1].storage[0] = v[:3]
+    f.input_storage[2].storage[0] = m1
+    r[:3] = f.fn()[0]
 
-    multMatVect.dot_modulo.input_storage[0].storage[0] = B
-    multMatVect.dot_modulo.input_storage[1].storage[0] = v[3:]
-    multMatVect.dot_modulo.input_storage[2].storage[0] = m2
-    r[3:] = multMatVect.dot_modulo.fn()[0]
+    f.input_storage[0].storage[0] = B
+    f.input_storage[1].storage[0] = v[3:]
+    f.input_storage[2].storage[0] = m2
+    r[3:] = f.fn()[0]
 
     return r
 multMatVect.dot_modulo = None
@@ -789,7 +789,8 @@ class MRG_RandomStreams(object):
 
     def inc_rstate(self):
         """Update self.rstate to be skipped 2^134 steps forward to the next stream start"""
-        self.rstate = ff_2p134(self.rstate)
+        #self.rstate = ff_2p134(self.rstate)
+        self.rstate = multMatVect(self.rstate, A1p134, M1, A2p134, M2)
         assert self.rstate.dtype == numpy.int32
 
     def get_substream_rstates(self, n_streams, inc_rstate=True):
@@ -801,7 +802,8 @@ class MRG_RandomStreams(object):
         rval = numpy.zeros((n_streams, 6), dtype='int32')
         rval[0] = self.rstate
         for i in xrange(1, n_streams):
-            rval[i] = ff_2p72(rval[i - 1])
+            #rval[i] = ff_2p72(rval[i - 1])
+            rval[i] = multMatVect(rval[i - 1], A1p72, M1, A2p72, M2)
         if inc_rstate:
             self.inc_rstate()
         return rval