# HG changeset patch
# User Xavier Glorot <glorotxa@iro.umontreal.ca>
# Date 1244230041 14400
# Node ID d7d8877e03f8c226d7b92a0ccbc57588bc693003
# Parent  c95a56f055aa88678f15985b0ed36af22ec9f2ac
Better declaration of totallocal_update method in StackedDAAig

diff -r c95a56f055aa -r d7d8877e03f8 pylearn/algorithms/sandbox/DAA_inputs_groups.py
--- a/pylearn/algorithms/sandbox/DAA_inputs_groups.py	Fri Jun 05 15:11:53 2009 -0400
+++ b/pylearn/algorithms/sandbox/DAA_inputs_groups.py	Fri Jun 05 15:27:21 2009 -0400
@@ -613,7 +613,7 @@
             totallocal_grads.update(dict((j, j - self.unsup_lr * g) for j,g in
                     zip(self.daaig[k].params,self.localgradients[k])))
         totallocal_grads.update(dict((j, j - self.sup_lr * g) for j,g in zip(self.daaig[-1].params,self.localgradients[-1])))
-        self.totallocalupdate = theano.Method(self.inputs[-1],sum(self.localcost[:]),totallocal_grads)
+        self.totallocalupdate = theano.Method(self.inputs[-1],self.localcost,totallocal_grads)
         
         self.classify = theano.Method(self.inputs[-2],self.daaig[-1].argmax_standalone)
         self.NLL = theano.Method(self.inputs[-1],self.daaig[-1]._xent)