Fix return value of ctc_check_result in ctc wrapper

theano/tensor/nnet/ctc_wrapper.c

 #section support_code
 
-int ctc_check_result(ctcStatus_t retcode, const char * msg, int * status)
+int ctc_check_result(ctcStatus_t retcode, const char * msg)
 {
     if( CTC_STATUS_SUCCESS != retcode )
     {
@@ -11,9 +11,9 @@ int ctc_check_result(ctcStatus_t retcode, const char * msg, int * status)
                       "%s | CTC library error message: %s",
                       msg,
                       ctc_msg );
-        *status = 1;
+        return 1;
     }
-    *status = 0;
+    return 0;
 }
 
 void create_contiguous_input_lengths( PyArrayObject * input_lengths_arr,
@@ -196,10 +196,9 @@ int APPLY_SPECIFIC(ctc_cost_cpu)(PyArrayObject *  in_activations,
     size_t cpu_workspace_size;
     int ctc_error;
 
-    ctc_check_result( get_workspace_size( label_lengths, input_lengths,
+    ctc_error = ctc_check_result( get_workspace_size( label_lengths, input_lengths,
         alphabet_size, minibatch_size, ctc_options, &cpu_workspace_size ),
-        "Failed to obtain CTC workspace size!",
-        &ctc_error );
+        "Failed to obtain CTC workspace size!" );
 
     if ( ctc_error )  // Exception is set by ctc_check_result, return error here
         return 1;
@@ -221,11 +220,10 @@ int APPLY_SPECIFIC(ctc_cost_cpu)(PyArrayObject *  in_activations,
         return 1;
     }
 
-    ctc_check_result( compute_ctc_loss( activations, gradients, flat_labels,
+    ctc_error = ctc_check_result( compute_ctc_loss( activations, gradients, flat_labels,
         label_lengths, input_lengths, alphabet_size, minibatch_size, costs,
         ctc_cpu_workspace, ctc_options ),
-        "Failed to compute CTC loss function!",
-        &ctc_error );
+        "Failed to compute CTC loss function!" );
 
     if ( ctc_error )  // Exception is set by ctc_check_result, return error here
         return 1;