[Docker] Intel-MLLib does not support docker mode.

[haojinIntel]

We find that Intel-MLlib will encounter error when using docker mode. The error is showed below:

22/07/12 04:44:01 INFO OneCCL: Initializing with IP_PORT: 10.10.1.144_3000
OneCCL (native): init
2022:07:12-04:44:01:(11155) ERROR: |ERROR| atl_ofi.cpp:637 send: fi_tsendmsg(prov_ep->tx, &msg, 0)
 fails with ret: -2, strerror: No such file or directory
terminate called after throwing an instance of 'ccl::v1::exception'
  what():  oneCCL: atl_ofi.cpp:637 send: EXCEPTION: OFI function error


.
Driver stacktrace:
        at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2454)
        at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2403)
        at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2402)
        at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
        at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
        at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2402)
        at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1160)
        at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1160)
        at scala.Option.foreach(Option.scala:407)
        at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1160)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2642)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2584)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2573)
        at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
        at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:938)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:2214)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:2235)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:2254)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:2279)
        at org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1030)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
        at org.apache.spark.rdd.RDD.withScope(RDD.scala:414)
        at org.apache.spark.rdd.RDD.collect(RDD.scala:1029)
        at com.intel.oap.mllib.stat.CorrelationDALImpl.computeCorrelationMatrix(CorrelationDALImpl.scala:40)
        at org.apache.spark.ml.stat.spark321.Correlation.corr(Correlation.scala:86)
        at org.apache.spark.ml.stat.Correlation$.corr(Correlation.scala:74)
        at com.intel.hibench.sparkbench.ml.CorrelationExample$.run(CorrelationExample.scala:56)
        at com.intel.hibench.sparkbench.ml.CorrelationExample$.main(CorrelationExample.scala:33)
        at com.intel.hibench.sparkbench.ml.CorrelationExample.main(CorrelationExample.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)