I am working on distributed t2t and i managed to set up to run in nfs environment but when i change to hdfs path, it gives the log as attached. I would like to confirm if setting environment variables and changing to hdfs is enough for t2t to use hdfs or if i am missing anything more.
util.NativeCodeLoader: Unable to load native-hadoop library for your platform
info retry.RetryInvocationHandler org.apache.hadoop.net.ConnectTimeoutException: Call From ... failed on socket timeout exception: org.apache.hadoop.net.ConnectTimeoutException: 20000 millis timeout while waiting for channel to be ready for connect. ch : java.nio.channels.SocketChannel[connection-pending remote=...] while invoking ClientNameNodeProtocolTranslatorPB.getFileinfo over ... after 1 failover attempts. Trying to failover after sleeping for 781ms
umm.... is there any successful use case of using hdfs in t2t that i might follow? i solved the unable to load error but the socket timeout problem persists...
I am working on distributed t2t and i managed to set up to run in nfs environment but when i change to hdfs path, it gives the log as attached. I would like to confirm if setting environment variables and changing to hdfs is enough for t2t to use hdfs or if i am missing anything more.
referenced: https://github.com/tensorflow/tensorflow/issues/30981#
util.NativeCodeLoader: Unable to load native-hadoop library for your platform info retry.RetryInvocationHandler org.apache.hadoop.net.ConnectTimeoutException: Call From ... failed on socket timeout exception: org.apache.hadoop.net.ConnectTimeoutException: 20000 millis timeout while waiting for channel to be ready for connect. ch : java.nio.channels.SocketChannel[connection-pending remote=...] while invoking ClientNameNodeProtocolTranslatorPB.getFileinfo over ... after 1 failover attempts. Trying to failover after sleeping for 781ms