fixed the condition in the local optimization.

theano/sandbox/cuda/opt.py

@@ -446,12 +446,11 @@ def local_gpu_dot_to_dot22(node):
                                                 shape_out))]
     return False
 
-
 @local_optimizer(None)
 def local_assert_no_cpu_op(node):
     if not isinstance(node.op, GpuOp) and all([var.owner and isinstance(var.owner.op,
-        HostFromGpu) for var in node.inputs]) and all([var.owner and
-            isinstance(var.owner.op, GpuFromHost) for var in node.outputs]):
+        HostFromGpu) for var in node.inputs]) and any([[c for c in var.clients
+                if isinstance(c[0].op, GpuFromHost)] for var in node.outputs]):
             if config.assert_no_cpu_op == "warn":
                 _logger.warning(("CPU op %s is detected in the computational"
                                  " graph") % node)
@@ -459,6 +458,7 @@ def local_assert_no_cpu_op(node):
                 raise RuntimeError("The op %s is on CPU." % node)
             elif config.assert_no_cpu_op == "pdb":
                 pdb.set_trace()
+
     return None
 
 #Register the local_assert_no_cpu_op:

theano/sandbox/cuda/tests/test_opt.py

@@ -107,6 +107,7 @@ def test_local_assert_no_cpu_op():
     # If the flag is raise
     try:
         config.assert_no_cpu_op = 'raise'
+
         assert_raises(RuntimeError, theano.function,
                         [], out, mode=mode_local_assert)
     finally: