disable the grad of ConvOp when dx or dy!=1 as their seam to have a bug their.…

theano/sandbox/conv.py

@@ -367,6 +367,9 @@ class ConvOp(Op):
         if self.imshp != self.imshp_logical or self.kshp != self.kshp_logical:
             raise NotImplementedError('todo')
 
+        if self.dx!=1 or self.dy!=1:
+            raise Exception("ERROR: We disable ConvOp.grad now when dx!=1 or dy!=1 as we think their is a high probability of bug in it. We need to raise the error on the gradient to .1!")
+
         all_shape = self.imshp is not None and self.kshp is not None and self.nkern is not None and self.bsize is not None
 
         if not all_shape and (self.dx!=1 or self.dy!=1):

theano/sandbox/test_conv.py

@@ -498,7 +498,7 @@ class TestConvOp(unittest.TestCase):
         imshps = [(2,3,4)]
         modes = ['valid', 'full']
         unroll = [(0,0,True),(1,1,False),(2,3,False),(1,1,False),(0,0,False)]#(batch,kern,patch)
-        ssizes = [(1,1),(2,2)]
+        ssizes = [(1,1)]#,(2,2)]#grad for ss!=(1,1) is currently disabled!
 
         for typ in types:
             imgs  = T.TensorType(typ, (False, False, False, False),'imgs')