EDMM 特性测试不太符合预期，似乎没有生效？

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Your Question

测试服务器是：Hygon CSV服务器
hyperenclave/hyperencalve-dirver是最新版本的代码
根据官方README ,hyperencalve-driver默认是启动EDMM的，
start_hyperenclave.sh中的feature_mask=0x202

Additional context

Occlum.json的配置，其中"enable_edmm": true,

{
    "resource_limits": {
      "kernel_space_heap_size": "100MB",
      "kernel_space_stack_size": "1MB",
      "user_space_size": "6GB",
      "max_num_of_threads": 1024,
      "user_space_max_size": "6GB",
      "init_num_of_threads": 10,
      "kernel_space_heap_max_size": "200MB"
    },
    "process": {
      "default_stack_size": "4MB",
      "default_heap_size": "64MB",
      "default_mmap_size": "64MB"
    },
    "entry_points": [
      "/usr/lib/jvm/java-8-openjdk-amd64/bin",
      "/bin"
    ],
    "env": {
      "default": [
        "OCCLUM=yes",
        "PYTHONHOME=/opt/python-occlum",
        "OMP_NUM_THREADS=1",
        "PYTHONPATH=$PYTHONPATH:/opt/spark/python/lib:/opt/spark/python/lib/py4j-0.10.9-src.zip",
        "LD_LIBRARY_PATH=/usr/lib/jvm/java-8-openjdk-amd64/lib/server:/usr/lib/jvm/java-8-openjdk-amd64/lib:/usr/lib/jvm/java-8-openjdk-amd64/../lib:/lib:/usr/lib/jvm/java-8-openjdk-am
d64/lib/amd64/jli:/usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/jli",
        "SPARK_CONF_DIR=/opt/spark/conf",
        "SPARK_ENV_LOADED=1",
        "PYTHONHASHSEED=0",
        "SPARK_HOME=/opt/spark",
        "SPARK_SCALA_VERSION=2.12",
        "SPARK_JARS_DIR=/opt/spark/jars",
        "LAUNCH_CLASSPATH=/bin/jars/*"
      ],
      "untrusted": [
        "EXAMPLE",
        "KUBECONFIG",
        "MALLOC_ARENA_MAX",
        "ATTESTATION_DEBUG",
        "DMLC_TRACKER_URI",
        "SPARK_DRIVER_URL",
        "SPARK_TESTING",
        "_SPARK_AUTH_SECRET",
        "CLIENT_CERT_FILE",
        "TRUSTED_CA_FILE",
        "CLIENT_PRIVATE_KEY_FILE"
      ]
    },
    "metadata": {
      "product_id": 1200,
      "version_number": 0,
      "debuggable": false,
      "enable_kss": false,
      "family_id": {
        "high": "0x0",
        "low": "0x0"
      },
      "ext_prod_id": {
        "high": "0x0",
        "low": "0x0"
      },
      "pkru": 0
    },
    "feature": {
      "amx": 0,
      "pkru": 0,
      "enable_edmm": true,
      "enable_posix_shm": false
    },
    "mount": [
      {
        "target": "/",
        "type": "unionfs",
        "options": {
          "layers": [
            {
              "target": "/",
              "type": "sefs",
              "source": "./build/mount/__ROOT",
              "options": {
                "MAC": ""
              }
            },
            {
              "target": "/",
              "type": "sefs",
              "source": "./run/mount/__ROOT"
            }
          ]
        }
      },
      {
        "target": "/host",
        "type": "hostfs",
        "source": "."
      },
      {
        "target": "/proc",
        "type": "procfs"
      },
      {
        "target": "/dev",
        "type": "devfs"
      }
    ]
  }

• 运行一个Java进程，启动spark submit程序

Launch command: /usr/lib/jvm/java-8-openjdk-amd64/bin/java,-XX:-UseCompressedOops,-XX:ActiveProcessorCount=8,-Divy.home=/tmp/.ivy,-Dos.name=Linux,-Djdk.lang.Process.launchMechanism=vfork,-cp,/opt/spark/conf/:/opt/spark/jars/HikariCP-2.5.1.jar:/opt/spark/jars/zstd-jni-1.4.8-1.jar,-Xmx4g,org.apache.spark.deploy.SparkSubmit,/sql_exec_s_pyspark.py /home/teeapp/task/task_config.json

• 执行报错显示内存不足

###### @ SparkSubmit: sgxLogLevel None
Exception in thread "main" java.io.IOException: Cannot run program "python3": error=12, Cannot allocate memory
        at java.lang.ProcessBuilder.start(ProcessBuilder.java:1048)
        at org.apache.spark.deploy.PythonRunner$.main(PythonRunner.scala:97)
        at org.apache.spark.deploy.PythonRunner.main(PythonRunner.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
        at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:981)
        at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
        at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
        at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
        at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1069)
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1078)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.io.IOException: error=12, Cannot allocate memory
        at java.lang.UNIXProcess.forkAndExec(Native Method)
        at java.lang.UNIXProcess.<init>(UNIXProcess.java:247)
        at java.lang.ProcessImpl.start(ProcessImpl.java:134)
        at java.lang.ProcessBuilder.start(ProcessBuilder.java:1029)
        ... 14 more

[symbolize_elf.inc : 980] RAW: /proc/self/task/2/maps: errno=2

预期结果

• 预期结果，应该是在开启了EDMM后，自动扩充内存
• 这里有个问题是
• Q1：Java进程是有父进程Fork出来的，子进程是否还能使用EDMM的特性呢？