ConvOp - corrected broadcastable flags in output

theano/tensor/nnet/conv.py

@@ -382,7 +382,7 @@ class ConvOp(Op):
                 self.unroll_kern=new
 
         if all_shape:
-            self.outshp = ConvOp.getOutputShape(self.imshp_logical[1:], self.kshp_logical, (dx,dy), output_mode)
+            self.outshp     = ConvOp.getOutputShape(self.imshp_logical[1:], self.kshp_logical, (dx,dy), output_mode)
             self.fulloutshp = ConvOp.getOutputShape(self.imshp_logical[1:], self.kshp_logical, (1,1), output_mode)
         else:
             self.outshp = None
@@ -478,9 +478,13 @@ class ConvOp(Op):
         if _inputs.type.dtype != _kerns.type.dtype:
             raise NotImplementedError("The image and the kernel must have the same type."
                             "inputs(%s), kerns(%s)"%(_inputs.dtype, _kerns.dtype))
+        if self.outshp is not None:
+            bcastable23 = [self.outshp[0]==1, self.outshp[1]==1]
+        else:
+            bcastable23 = [False, False]
         output = tensor.tensor(dtype=_inputs.type.dtype,
                                broadcastable=[_inputs.broadcastable[0],
-                                   _kerns.broadcastable[0], False, False]); 
+                                   _kerns.broadcastable[0]]+bcastable23); 
 
         return Apply(self, [_inputs, _kerns], [output])