# HG changeset patch
# User Xavier Glorot <glorotxa@iro.umontreal.ca>
# Date 1243608500 14400
# Node ID 4617ee2776983945b199e9ba634b284b35bead9e
# Parent  7ab4bc96cb12064b9457e5ad211ed7f917661422
fix a bad declaration of the updates in StackedDAAig

diff -r 7ab4bc96cb12 -r 4617ee277698 pylearn/algorithms/sandbox/DAA_inputs_groups.py
--- a/pylearn/algorithms/sandbox/DAA_inputs_groups.py	Thu May 28 12:12:34 2009 -0400
+++ b/pylearn/algorithms/sandbox/DAA_inputs_groups.py	Fri May 29 10:48:20 2009 -0400
@@ -529,8 +529,8 @@
             self.totalgradients[-1] = [T.grad(self.totalcost[-2], paramstot) ,\
                     T.grad(self.globalcost[-1], paramstot) ]
         
-        local_grads = dict((j, j - self.unsup_lr * g) for j,g in zip(self.daaig[-1].params,self.localgradients[-1]))
-        global_grads = dict((j, j - self.unsup_lr * g)\
+        local_grads = dict((j, j - self.sup_lr * g) for j,g in zip(self.daaig[-1].params,self.localgradients[-1]))
+        global_grads = dict((j, j - self.sup_lr * g)\
                 for j,g in zip(self.daaig[-1].params+paramsenc,self.globalgradients[-1]))
         if self.totalupdatebool:
             total_grads = dict((j, j - self.unsup_lr * g1 - self.sup_lr * g2)\