backport to python2.4

theano/sandbox/cuda/basic_ops.py

@@ -1701,20 +1701,6 @@ class GpuSubtensor(tensor.Subtensor):
             cdata = cdata[0]
         out[0] = x.__getitem__(cdata)
 
-        if 0: 
-            # JSB: commenting this out because it breaks code and does not look right
-            #      Dumi could you try to run the examples in the DeepLearningBenchmarks
-            #      for example?  This logic doesn't seem right -- we just 
-            #      cast cdata to a tuple, so it doesn't have a .start field.
-            
-            # some numpy installations don't expose the __index__() methods for
-            # numpy.int8/16/32/64. Casting to python's int instead
-            start = int(cdata.start) if cdata.start!=None else None
-            stop = int(cdata.stop) if cdata.stop!=None else None
-            step = int(cdata.step) if cdata.step!=None else None
-            newslice = slice(start,stop,step)
-            out[0] = x.__getitem__(newslice)
-
 class GpuIncSubtensor(tensor.IncSubtensor):
     def make_node(self, x, y, *inputs):
         assert isinstance(x.type, CudaNdarrayType)

theano/tensor/nnet/Conv3D.py

@@ -595,5 +595,5 @@ def computeH(V,W,b,d):
     return H
 
 
-from . import ConvGrad3D
-from . import ConvTransp3D
+import ConvGrad3D
+import ConvTransp3D