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我用paddlerec训练了dssm动态模型,在paddlecloud gpu上进行用户端的embedding产出,运行非常慢,想改到hadoop上infer,打包的python环境在hadoop上会报动态错误,我的问题是: 1.是不是需要改静态模型训练,静态预估,才能上hadoop; 2.有没有可以用的python包上传hadoop,实在是搞不懂paddle的环境
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上hadoop是什么意思,hadoop不是指存储吗
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hadoop可以做分布式计算,双塔的用户塔数据量很大,gpu跑不起来,想用300多的hadoop cpu集群进行预估;之前pslib等有做,不知道原生态的paddle咋搞
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我用paddlerec训练了dssm动态模型,在paddlecloud gpu上进行用户端的embedding产出,运行非常慢,想改到hadoop上infer,打包的python环境在hadoop上会报动态错误,我的问题是:
1.是不是需要改静态模型训练,静态预估,才能上hadoop;
2.有没有可以用的python包上传hadoop,实在是搞不懂paddle的环境
The text was updated successfully, but these errors were encountered: