Tiny fixes in text_cls ce

fluid/sequence_tagging_for_ner/train.py

@@ -53,7 +53,7 @@ def main(train_data_file, test_data_file, vocab_file, target_file, emb_file,
         chunk_scheme="IOB",
         num_chunk_types=int(math.ceil((label_dict_len - 1) / 2.0)))
 
-    inference_program = fluid.default_main_program().clone()
+    inference_program = fluid.default_main_program().clone(for_test=True)
     with fluid.program_guard(inference_program):
         test_target = chunk_evaluator.metrics + chunk_evaluator.states
         inference_program = fluid.io.get_inference_program(test_target)

fluid/text_classification/_ce.py

@@ -9,7 +9,7 @@ from kpi import CostKpi, DurationKpi, AccKpi
 
 train_acc_kpi = AccKpi('train_acc', 0.005, actived=True)
 train_cost_kpi = CostKpi('train_cost', 0.005, actived=True)
-train_duration_kpi = DurationKpi('train_duration', 0.06, actived=True)
+train_duration_kpi = DurationKpi('train_duration', 0.05, actived=True)
 
 tracking_kpis = [
     train_acc_kpi,
@@ -43,6 +43,6 @@ def log_to_ce(log):
 if __name__ == '__main__':
     log = sys.stdin.read()
     print("*****")
-    print log
+    print(log)
     print("****")
     log_to_ce(log)