Awesome

算法服务接口文档

API

• 接口：http://server-host/ner

• 方式：POST

• 参数：content <string>

• 响应：

  {
      "code": 0,
      "data": {
  		"mood_type": "positive",
  		"mood_sub_result": "O",
  		"mood_sub_type": {
  			"A": 0.2,
  			"C": 0.3,
  			"E": 0,
  			"N": 0.1,
  			"O": 0.4
  		}
      },
      "message": "success"
  }	
  

  code: 0 -> success | 401 -> Unauthorized | 503 -> LSTM failed | 400 -> content required

算法接口

• function: Sentiment_lstm.lstm_predict

• arguments: string <str>

• return:

  {
  	"mood_type": "positive",
  	"mood_sub_result": "O",
  	"mood_sub_type": {
  		"A": 0.2,
  		"C": 0.3,
  		"E": 0,
  		"N": 0.1,
  		"O": 0.4
  	}
  }
  

问题

• flask 环境下调用算法接口，第二次之后报错：

  Cannot interpret feed_dict key as Tensor: Tensor Tensor("Placeholder_2:0", shape=(50, 200), dtype=float32) is not an element of this graph.
  
  解决办法：
  keras.backend.clear_session()
  

• nginx 502 --> 代码 ImportError(ImportError: libcudnn.so.5: cannot open shared object file: No such file or directory) --> cuda 库软的链接错误（symbol link）。解决方法：

  # 查看 cudnn 库相关的信息，找到错误的链接
  $ sudo ldconfig -v | grep "libcudnn"
  /sbin/ldconfig.real: /usr/local/cuda-8.0/targets/x86_64-linux/lib/libcudnn.so.5 is not a symbolic link
  
  libcudnn.so.5 -> libcudnn.so.5.1.10
  
  # 重新建立链接
  sudo ln -sf /usr/local/cuda-8.0/targets/x86_64-linux/lib/libcudnn.so.5.1.10 /usr/local/cuda-8.0/targets/x86_64-linux/lib/libcudnn.so.5