Compatibility to python 2.5

bob/learn/tensorflow/layers/FullyConnected.py

@@ -67,7 +67,7 @@ class FullyConnected(Layer):
     def create_variables(self, input_layer):
         self.input_layer = input_layer
         if self.W is None:
-            input_dim = reduce(mul, self.input_layer.get_shape().as_list()[1:])
+            input_dim = numpy.prod(self.input_layer.get_shape().as_list()[1:])
             if self.init_value is None:
                 self.init_value = input_dim
 

bob/learn/tensorflow/loss/__init__.py

 from .BaseLoss import BaseLoss
 from .ContrastiveLoss import ContrastiveLoss
 from .TripletLoss import TripletLoss
-from NegLogLoss import NegLogLoss
+from .NegLogLoss import NegLogLoss
 
 
 # gets sphinx autodoc done right - don't remove it

bob/learn/tensorflow/network/SequenceNetwork.py

@@ -317,14 +317,14 @@ class SequenceNetwork(six.with_metaclass(abc.ABCMeta, object)):
 
         session = Session.instance().session
 
-        open(path+"_sequence_net.pickle", 'w').write(self.pickle_architecture)
+        open(path+"_sequence_net.pickle", 'wb').write(self.pickle_architecture)
         return saver.save(session, path)
 
     def load(self, path, clear_devices=False, session_from_scratch=False):
 
         session = Session.instance(new=session_from_scratch).session
 
-        self.sequence_net = pickle.loads(open(path+"_sequence_net.pickle").read())
+        self.sequence_net = pickle.loads(open(path+"_sequence_net.pickle", 'rb').read())
         if clear_devices:
             saver = tf.train.import_meta_graph(path + ".meta", clear_devices=clear_devices)
         else:

bob/learn/tensorflow/network/__init__.py

@@ -8,7 +8,7 @@ from .FaceNet import FaceNet
 from .FaceNetSimple import FaceNetSimple
 from .VGG16 import VGG16
 from .VGG16_mod import VGG16_mod
-from SimpleAudio import SimpleAudio
+from .SimpleAudio import SimpleAudio
 
 # gets sphinx autodoc done right - don't remove it
 def __appropriate__(*args):