added op_guard calls to some methods I overlooked

theano/sandbox/cuda/basic_ops.py

@@ -923,6 +923,7 @@ class GpuCAReduce(GpuOp):
     #Threads must be organized as: threadNum%nb_reduce correspond to the same sum
     #nb_reduce<=warpSize
     def _k_reduce_buf_multiple(self, z_pos, nb_reduce):
+        self._op_guard()
         return """
         __syncthreads(); // some kernel do multiple reduction.
         buf[threadNum] = mysum;
@@ -947,6 +948,7 @@ class GpuCAReduce(GpuOp):
         is for the case where we are reducing on all axes and x is
         C contiguous.
         """
+        self._op_guard()
         print >> sio, """
         {
           if(CudaNdarray_SIZE(%(x)s)==0){
@@ -986,6 +988,7 @@ class GpuCAReduce(GpuOp):
         """ % locals()
 
     def c_code_reduce_1(self, sio, node, name, x, z, fail):
+        self._op_guard()
         makecall = self._makecall(node, name, x, z, fail)
         print >> sio, """
         {
@@ -999,6 +1002,7 @@ class GpuCAReduce(GpuOp):
         """ % locals()
 
     def c_code_reduce_11(self, sio, node, name, x, z, fail):
+        self._op_guard()
         makecall = self._makecall(node, name, x, z, fail)
         print >> sio, """
         {
@@ -1021,6 +1025,7 @@ class GpuCAReduce(GpuOp):
         :param N: the number of 1 in the pattern N=1 -> 01, N=2 -> 011 N=3 ->0111
                   Work for N=1,2,3
         """
+        self._op_guard()
         assert N in [1, 2, 3]
         makecall = self._makecall(node, name, x, z, fail)
         N_pattern = ''.join(['1'] * N)