diff --git a/test/test_model.py b/test/test_model.py
index 3c99447..df125fc 100755
--- a/test/test_model.py
+++ b/test/test_model.py
@@ -151,17 +151,17 @@ def test_SVM_ILSVRC_S():
 
 def test_THEANO_crop():
 
-    timer.mark()
-    dilc = ILSVRC.DataILSVRC(base_dir='/data/hadoop/ImageNet/ILSVRC/ILSVRC2013_DET_val', category='Test_crop_pil')
-    X, Y = dilc.load_data(mode='local', feattype='coef')
-    timer.report()
-    X_train, X_test, Y_train, Y_test = cross_validation.train_test_split(X, Y, test_size=0.2, random_state=0)
-    with open(os.path.join(package_dir,'../res/','ils_crop.pkl'),'wb') as f:
-        cPickle.dump([(X_train,Y_train),(X_test,Y_test)], f)
+    # timer.mark()
+    # dilc = ILSVRC.DataILSVRC(base_dir='/data/hadoop/ImageNet/ILSVRC/ILSVRC2013_DET_val', category='Test_crop_pil')
+    # X, Y = dilc.load_data(mode='local', feattype='coef')
+    # timer.report()
+    # X_train, X_test, Y_train, Y_test = cross_validation.train_test_split(X, Y, test_size=0.2, random_state=0)
+    # with open(os.path.join(package_dir,'../res/','ils_crop.pkl'),'wb') as f:
+    #     cPickle.dump([(X_train,Y_train),(X_test,Y_test)], f)
 
     timer.mark()
     mtheano = THEANO.ModelTHEANO(toolset='cnn')
-    mtheano._train_cnn(dataset='../../res/ils_crop.pkl')
+    mtheano._train_cnn(dataset='../res/ils_crop.pkl')
     timer.report()
 
 
--
libgit2 0.21.2