title: How to setup logging for cloud ml-engine during serving/inference
body: <p>After loading a checkpoint; I have exported the model and then copied the <code>saved_model.pb</code> file and all the variables to GCS bucket.</p>
  
  <p>During inference/serving, I get this error:</p>
  
  <pre><code>{
    "error": "Prediction failed: Error during model execution: AbortionError(code=StatusCode.FAILED_PRECONDITION, details=\"Attempting to use uninitialized value shadow/LSTMLayers/stack_bidirectional_rnn/cell_0/bidirectional_rnn/fw/basic_lstm_cell/bias\n\t [[Node: shadow/LSTMLayers/stack_bidirectional_rnn/cell_0/bidirectional_rnn/fw/basic_lstm_cell/bias/read = Identity[T=DT_FLOAT, _output_shapes=[[2048]], _device=\"/job:localhost/replica:0/task:0/device:CPU:0\"](shadow/LSTMLayers/stack_bidirectional_rnn/cell_0/bidirectional_rnn/fw/basic_lstm_cell/bias)]]\")"
  }
  </code></pre>
  
  <p>Please suggest me how to setup the logging at test/inference time in cloud ml-engine.</p>