# HG changeset patch
# User Frederic Bastien <nouiz@nouiz.org>
# Date 1296663634 18000
# Node ID e7844692e6e2217ced7176cbdbe95fbcedd2210e
# Parent  cedb48a300fc5239fe1b1ea3c96eb497bedaa110
normalize the utlc ndarray dataset inplace to use less memory.

diff -r cedb48a300fc -r e7844692e6e2 pylearn/datasets/utlc.py
--- a/pylearn/datasets/utlc.py	Mon Jan 31 12:23:20 2011 -0500
+++ b/pylearn/datasets/utlc.py	Wed Feb 02 11:20:34 2011 -0500
@@ -43,27 +43,30 @@
             test = numpy.asarray(test, theano.config.floatX)
             mean = train.mean()
             std = train.std()
-            train = (train - mean) / std
-            valid = (valid - mean) / std
-            test = (test - mean) / std  
+            train -= mean
+            valid -= mean
+            test -= mean
+            train /= std
+            valid /= std
+            test /= std
         elif name == "harry":
             #force float32 as otherwise too big to keep in memory completly
             train = numpy.asarray(train, "float32")
             valid = numpy.asarray(valid, "float32")
             test = numpy.asarray(test, "float32")
             std = 0.69336046033925791#train.std()slow to compute
-            train = (train) / std
-            valid = (valid) / std
-            test = (test) / std  
+            train /= std
+            valid /= std
+            test /= std  
         elif name == "rita":
             #force float32 as otherwise too big to keep in memory completly
             train = numpy.asarray(train, "float32")
             valid = numpy.asarray(valid, "float32")
             test = numpy.asarray(test, "float32")
             max = train.max()
-            train = (train) / max
-            valid = (valid) / max
-            test = (test) / max  
+            train /= max
+            valid /= max
+            test /= max  
         else:
             raise Exception("This dataset don't have its normalization defined")
     if transfer: