add in doc StripPickler and CompatUnpickler. Add a seealso

doc/library/misc/pkl_utils.txt

@@ -13,6 +13,10 @@
 
 .. autofunction:: theano.misc.pkl_utils.load
 
+.. autoclass:: theano.misc.pkl_utils.StripPickler
+
+.. autoclass:: theano.misc.pkl_utils.CompatUnpickler
+
 .. seealso::
 
     :ref:`tutorial_loadsave`

doc/library/sandbox/neighbours.txt

@@ -9,8 +9,4 @@
    :synopsis: Neighbours Ops
 .. moduleauthor:: LISA
 
-API
-===
-
-.. automodule:: theano.sandbox.neighbours
-    :members:
+:ref:`Moved <libdoc_tensor_nnet_neighbours>`

doc/library/tensor/nnet/neighbours.txt

@@ -4,7 +4,7 @@
 :mod:`neighbours` -- Ops for working with images in convolutional nets
 =======================================================================
 
-.. module:: sandbox.neighbours
+.. module:: theano.tensor.nnet.neighbours
    :platform: Unix, Windows
    :synopsis: Ops for working with images in conv nets
 .. moduleauthor:: LISA

doc/library/tensor/signal/downsample.txt

@@ -9,6 +9,7 @@
    :synopsis: ops for performing various forms of downsampling
 .. moduleauthor:: LISA
 
+.. seealso:: :func:`theano.tensor.nnet.neighbours.images2neibs`
 
 .. autofunction:: theano.tensor.signal.downsample.max_pool_2d
 .. autofunction:: theano.tensor.signal.downsample.max_pool_2d_same_size

theano/misc/pkl_utils.py

@@ -117,12 +117,38 @@ def load_reduce(self):
 
 if PY3:
     class CompatUnpickler(pickle._Unpickler):
+        """
+        Allow to reload in python 3 some pickled numpy ndarray.
+
+        Examples
+        --------
+
+        with open(fname, 'rb') as fp:
+            if PY3:
+                u = CompatUnpickler(fp, encoding="latin1")
+            else:
+                u = CompatUnpickler(fp)
+            mat = u.load()
+        """
         pass
 
     # Register `load_reduce` defined above in CompatUnpickler
     CompatUnpickler.dispatch[pickle.REDUCE[0]] = load_reduce
 else:
     class CompatUnpickler(pickle.Unpickler):
+        """
+        Allow to reload in python 3 some pickled numpy ndarray.
+
+        Examples
+        --------
+
+        with open(fname, 'rb') as fp:
+            if PY3:
+                u = CompatUnpickler(fp, encoding="latin1")
+            else:
+                u = CompatUnpickler(fp)
+            mat = u.load()
+        """
         pass