# HG changeset patch
# User James Bergstra <bergstrj@iro.umontreal.ca>
# Date 1285799809 14400
# Node ID 092cd4cd20093e0870101f941fc0297faba2d801
# Parent  a165f2666643639191bccbc52f6e7ed292a41182
tinyimages - minor: removed inplace assumption and reduced min_dynamic_range

diff -r a165f2666643 -r 092cd4cd2009 pylearn/dataset_ops/tinyimages.py
--- a/pylearn/dataset_ops/tinyimages.py	Wed Sep 29 18:35:40 2010 -0400
+++ b/pylearn/dataset_ops/tinyimages.py	Wed Sep 29 18:36:49 2010 -0400
@@ -57,14 +57,13 @@
         flat = imgstack.reshape((a,b*c))
         flat -= flat.mean(axis=1).reshape((a,1))
         flat /= numpy.maximum(flat.std(axis=1).reshape((a,1)),imaxscale)
-        # SHOULD CHANNEL VARIANCE BE STANDARDIZED?
-        #imgstack modified inplace
-    centre(X[:,:,:,0])
-    centre(X[:,:,:,1])
-    centre(X[:,:,:,2])
+        return flat.reshape((a,b,c))
+    X[:,:,:,0]=centre(X[:,:,:,0])
+    X[:,:,:,1]=centre(X[:,:,:,1])
+    X[:,:,:,2]=centre(X[:,:,:,2])
     return X
 
-def save_filters(X, fname, min_dynamic_range=1e-3, data_path=None):
+def save_filters(X, fname, min_dynamic_range=1e-8, data_path=None):
     """
     Save filters X (encoded as whitened images) in the original image space.
     """