云机器学习预测 [英] cloud machine learning predict
问题描述
当我使用Google Cloud Machine Learning的预测命令时( https://cloud.google .com/ml/docs/quickstarts/prediction )，我经常在下面收到错误消息:
When I use prediction command of Google Cloud Machine Learning (https://cloud.google.com/ml/docs/quickstarts/prediction), I frequently get an error below:
$ gcloud beta ml predict --model=mnist --instances=data/predict_sample.tensor.json
ERROR: (gcloud.beta.ml.predict) HTTP request failed. Response: <!DOCTYPE html>
<html lang=en>
<meta charset=utf-8>
<meta name=viewport content="initial-scale=1, minimum-scale=1, width=device-width">
<title>Error 502 (Server Error)!!1</title>
<style>
*{margin:0;padding:0}html,code{font:15px/22px arial,sans-serif}html{background:#fff;color:#222;padding:15px}body{margin:7% auto 0;max-width:390px;min-height:180px;padding:30px 0 15px}* > body{background:url(//www.google.com/images/errors/robot.png) 100% 5px no-repeat;padding-right:205px}p{margin:11px 0 22px;overflow:hidden}ins{color:#777;text-decoration:none}a img{border:0}@media screen and (max-width:772px){body{background:none;margin-top:0;max-width:none;padding-right:0}}#logo{background:url(//www.google.com/images/branding/googlelogo/1x/googlelogo_color_150x54dp.png) no-repeat;margin-left:-5px}@media only screen and (min-resolution:192dpi){#logo{background:url(//www.google.com/images/branding/googlelogo/2x/googlelogo_color_150x54dp.png) no-repeat 0% 0%/100% 100%;-moz-border-image:url(//www.google.com/images/branding/googlelogo/2x/googlelogo_color_150x54dp.png) 0}}@media only screen and (-webkit-min-device-pixel-ratio:2){#logo{background:url(//www.google.com/images/branding/googlelogo/2x/googlelogo_color_150x54dp.png) no-repeat;-webkit-background-size:100% 100%}}#logo{display:inline-block;height:54px;width:150px}
</style>
<a href=//www.google.com/><span id=logo aria-label=Google></span></a>
<p><b>502.</b> <ins>That’s an error.</ins>
<p>The server encountered a temporary error and could not complete your request.<p>Please try again in 30 seconds. <ins>That’s all we know.</ins>
有什么我可以解决的错误吗?
Is there anything that I can do to solve this error?
推荐答案
感谢您试用Cloud ML.由于在线预测服务处于Alpha状态，因此可能会出现短暂故障，并且实际的响应消息可能对用户没有太大帮助.我们正在努力使错误消息对用户更具可操作性.
Thanks for trying out Cloud ML. Since online prediction service is in alpha, there can be transient failures and actual response message might not be very helpful to the user. We are working towards making the error messages more actionable for the user.
在这种特定情况下，服务器遇到某种内部错误. 此步骤之前的模型部署是否成功?此外，您是否能够在部署完成后立即看到一些503响应代码以进行预测呼叫? 503响应代码表明，在错误消失之前，该服务在部署后仍然不可用.
In this particular case, server encountered some sort of internal error. Was the model deployment before this step successful? Also, were you able to see some 503 response code for predict calls immediately after deployment finished? 503 response code suggests that the service is still unavailable for use after deployment until the error goes away.
有一些机会，这是模型本身的问题.我建议您在此处使用脚本， https://github.com/GoogleCloudPlatform/cloudml-samples/blob/master/mnist/deployable/local_predict.py 来验证模型是否可以在本地加载和运行.这将消除出现不良模型的可能性.您可能必须使用以下下载示例:
There is some chance, this is a problem with the model itself. I suggest that you use the script here, https://github.com/GoogleCloudPlatform/cloudml-samples/blob/master/mnist/deployable/local_predict.py to verify that the model can load and run locally. This will eliminate the possibility of a bad model. You might have to download the samples using the following:
curl -L -o cloudml-samples.zip https://github.com/GoogleCloudPlatform/cloudml-samples/archive/master.zip
您可以按以下方式运行:
You can run as follows:
python local_predict.py --model_dir=<model_dir> data/predict_sample.tensor.json
请注意，模型目录是存储"export.meta"和"export"文件的位置.
Note that the model directory is where you have the "export.meta" and "export" files stored.
如果这看起来不错，我建议再次重试模型部署，以查看这是否是暂时的问题.
If this looks good, I will suggest retrying model deployment again to see if this was some kind of transient issue.
希望这会有所帮助.
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