# HG changeset patch
# User Emmanuel Bengio <bengioe@iro.umontreal.ca>
# Date 1311777723 14400
# Node ID 9d2323513092a9b1a0d6ad232535a1c74fd3472a
# Parent  35a3a4e2d99985ee4169b4f0f22df84a4f68c9a2
added formulas/nnet.py with inverse_max_pooling(...)

diff -r 35a3a4e2d999 -r 9d2323513092 pylearn/formulas/nnet.py
--- a/pylearn/formulas/nnet.py	Wed Jul 27 10:37:41 2011 -0400
+++ b/pylearn/formulas/nnet.py	Wed Jul 27 10:42:03 2011 -0400
@@ -22,6 +22,11 @@
         The shape of the pooling windows
     ignore_borders : boolean
         Will pad borders with zeros if true
+    
+    Returns
+    -------
+    ret : 4D tensor
+        A Theano variable with same shape as output_shape
     """
     # flatten the input and repeat it 
     repeated_input = [max_pool_out.flatten()]*(pooling_shape[0]*pooling_shape[1])