fix bug

fluid/PaddleNLP/machine_reading_comprehension/run.py

@@ -369,9 +369,11 @@ def train(logger, args):
                 logger.error('Unsupported optimizer: {}'.format(args.optim))
                 exit(-1)
             if args.weight_decay > 0.0:
-                avg_cost_wd = avg_cost + args.weight_decay * l2_loss(
-                    main_program)
-            optimizer.minimize(avg_cost_wd)
+                obj_func = avg_cost + args.weight_decay * l2_loss(main_program)
+                optimizer.minimize(obj_func)
+            else:
+                obj_func = avg_cost
+                optimizer.minimize(obj_func)
 
             # initialize parameters
             place = core.CUDAPlace(0) if args.use_gpu else core.CPUPlace()
@@ -411,7 +413,7 @@ def train(logger, args):
                     feed_data = batch_reader(batch_list, args)
                     fetch_outs = parallel_executor.run(
                         feed=list(feeder.feed_parallel(feed_data, dev_count)),
-                        fetch_list=[avg_cost_wd.name],
+                        fetch_list=[obj_func.name],
                         return_numpy=False)
                     cost_train = np.array(fetch_outs[0]).mean()
                     total_num += args.batch_size * dev_count