David 1 ay önce
ebeveyn
işleme
51230baf44

+ 0 - 1
app/predict/tf_cnn_pre.py

@@ -66,7 +66,6 @@ def model_prediction(pre_data, input_file, cap):
             write_number_to_file(os.path.join(output_file, status_file), 2, 3)
         my_exception = traceback.format_exc()
         my_exception.replace("\n", "\t")
-        result['msg'] = my_exception
         logger.info("算法状态异常:{}".format(my_exception))
     end_time = time.time()
     logger.info("cnn预测任务:用了 %s 秒 " % (end_time - start_time))

+ 0 - 1
app/predict/tf_fmi_pre.py

@@ -66,7 +66,6 @@ def model_prediction(pre_data, input_file, cap):
             write_number_to_file(os.path.join(output_file, status_file), 2, 3)
         my_exception = traceback.format_exc()
         my_exception.replace("\n", "\t")
-        result['msg'] = my_exception
         logger.info("算法状态异常:{}".format(my_exception))
     end_time = time.time()
     logger.info("fmi预测任务:用了 %s 秒 " % (end_time - start_time))

+ 0 - 1
app/predict/tf_lstm_pre.py

@@ -66,7 +66,6 @@ def model_prediction(pre_data, input_file, cap):
             write_number_to_file(os.path.join(output_file, status_file), 2, 3)
         my_exception = traceback.format_exc()
         my_exception.replace("\n", "\t")
-        result['msg'] = my_exception
         logger.info("算法状态异常:{}".format(my_exception))
     end_time = time.time()
     logger.info("lstm预测任务:用了 %s 秒 " % (end_time - start_time))