Better fix that would work for more cases if this happen again.

theano/gof/link.py

@@ -4,8 +4,6 @@ import StringIO
 import sys
 import traceback
 
-import numpy
-
 import theano
 from theano.gof import utils
 from theano.gof import graph
@@ -321,21 +319,18 @@ class Container(object):
         return "<" + repr(self.storage[0]) + ">"
 
     def __deepcopy__(self, memo):
-        # this exists because copy.deepcopy on numpy arrays is broken
-        a = self.storage[0]
-        if type(a) in (numpy.ndarray, numpy.memmap):
-            a = a.copy()
-        else:
-            a = copy.deepcopy(a)
-
         r = type(self)(
             deepcopy(self.type, memo),
-            [a],
+            deepcopy(self.storage),
             deepcopy(self.readonly),
             deepcopy(self.strict),
             deepcopy(self.allow_downcast),
             deepcopy(self.name, memo),
             )
+        # To force the call to filter.  This is a work around NumPy
+        # deepcopy of ndarray with 0 dimention that don't return an
+        # ndarray.
+        r.data = r.data
         return r
 
 

theano/gof/tests/test_link.py

@@ -186,11 +186,11 @@ def test_sort_schedule_fn():
 
 def test_container_deepcopy():
     """
-    This is a test to a work around a NumPy.
+    This is a test to a work around a NumPy bug.
     """
     t = theano.tensor.scalar()
     v = numpy.asarray(0.)
     c = Container(t, [v])
     assert isinstance(c.storage[0], numpy.ndarray)
-    deepcopy(c)
-    assert isinstance(c.storage[0], numpy.ndarray)
+    d = deepcopy(c)
+    assert isinstance(d.storage[0], numpy.ndarray)