# HG changeset patch
# User David Warde-Farley <wardefar@iro.umontreal.ca>
# Date 1285948073 14400
# Node ID 7af2a89bff3d16f1e51f83f11d6fee06c66f58e5
# Parent  71f3f22497fefb26e61376f3b2d40b3ecd9c2da0
Change tensor.log -> T.log since tensor was undefined symbol in this scope.

diff -r 71f3f22497fe -r 7af2a89bff3d pylearn/formulas/costs.py
--- a/pylearn/formulas/costs.py	Fri Oct 01 11:28:22 2010 -0400
+++ b/pylearn/formulas/costs.py	Fri Oct 01 11:47:53 2010 -0400
@@ -10,13 +10,13 @@
     """ Compute the crossentropy of binary output wrt binary target.
 
     .. math::
-                L_{CE} \equiv t\log(o) + (1-t)\log(1-o) 
+                L_{CE} \equiv t\log(o) + (1-t)\log(1-o)
 
     :type output: Theano variable
     :param output: Binary output or prediction :math:`\in[0,1]`
     :type target: Theano variable
     :param target: Binary target usually :math:`\in\{0,1\}`
     """
-    return -(target * tensor.log(output) + (1.0 - target) * tensor.log(1.0 - output))
+    return -(target * T.log(output) + (1.0 - target) * T.log(1.0 - output))