我正在使用mesos 1.0.1。我添加了一个具有新角色的代理 docker_gpu_worker . 我用这个角色注册了一个框架。该框架没有收到任何报价。使用其他角色的其他框架（相同的java代码）运行良好。我没有重新启动三个mesos大师。有人知道哪里出了问题吗？
在 master/frameworks ，我看到了我的框架：

"{
  "id": "fd01b1b0-eb73-4d40-8774-009171ae1db1-0701",
  "name": "/data4/Users/mikeb/jobs/999",
  "pid": "scheduler-77345362-b85c-4044-8db5-0106b9015119@x.x.x.x:57617",
  "used_resources": {
    "disk": 0,
    "mem": 0,
    "gpus": 0,
    "cpus": 0
  },
  "offered_resources": {
    "disk": 0,
    "mem": 0,
    "gpus": 0,
    "cpus": 0
  },
  "capabilities": [],
  "hostname": "x-x-x-x.ec2.internal",
  "webui_url": "",
  "active": true,
  "user": "mikeb",
  "failover_timeout": 10080,
  "checkpoint": true,
  "role": "docker_gpu_worker",
  "registered_time": 1507028279.18887,
  "unregistered_time": 0,
  "principal": "test-framework-java",
  "resources": {
    "disk": 0,
    "mem": 0,
    "gpus": 0,
    "cpus": 0
  },
  "tasks": [],
  "completed_tasks": [],
  "offers": [],
  "executors": []
}"

在 master/roles 我看到了我的角色：

"{
  "frameworks": [
    "fd01b1b0-eb73-4d40-8774-009171ae1db1-0701",
    "fd01b1b0-eb73-4d40-8774-009171ae1db1-0673",
    "fd01b1b0-eb73-4d40-8774-009171ae1db1-0335"
  ],
  "name": "docker_gpu_worker",
  "resources": {
    "cpus": 0,
    "disk": 0,
    "gpus": 0,
    "mem": 0
  },
  "weight": 1
}"

在 master/slaves 我看到我的经纪人：

"{
  "id": "fd01b1b0-eb73-4d40-8774-009171ae1db1-S5454",
  "pid": "slave(1)@x.x.x.x:5051",
  "hostname": "x-x-x-x.ec2.internal",
  "registered_time": 1506692213.24938,
  "resources": {
    "disk": 35056,
    "mem": 59363,
    "gpus": 4,
    "cpus": 32,
    "ports": "[31000-32000]"
  },
  "used_resources": {
    "disk": 0,
    "mem": 0,
    "gpus": 0,
    "cpus": 0
  },
  "offered_resources": {
    "disk": 0,
    "mem": 0,
    "gpus": 0,
    "cpus": 0
  },
  "reserved_resources": {
    "docker_gpu_worker": {
      "disk": 35056,
      "mem": 59363,
      "gpus": 4,
      "cpus": 32,
      "ports": "[31000-32000]"
    }
  },
  "unreserved_resources": {
    "disk": 0,
    "mem": 0,
    "gpus": 0,
    "cpus": 0
  },
  "attributes": {},
  "active": true,
  "version": "1.0.1",
  "reserved_resources_full": {
    "docker_gpu_worker": [
      {
        "name": "gpus",
        "type": "SCALAR",
        "scalar": {
          "value": 4
        },
        "role": "docker_gpu_worker"
      },
      {
        "name": "cpus",
        "type": "SCALAR",
        "scalar": {
          "value": 32
        },
        "role": "docker_gpu_worker"
      },
      {
        "name": "mem",
        "type": "SCALAR",
        "scalar": {
          "value": 59363
        },
        "role": "docker_gpu_worker"
      },
      {
        "name": "disk",
        "type": "SCALAR",
        "scalar": {
          "value": 35056
        },
        "role": "docker_gpu_worker"
      },
      {
        "name": "ports",
        "type": "RANGES",
        "ranges": {
          "range": [
            {
              "begin": 31000,
              "end": 32000
            }
          ]
        },
        "role": "docker_gpu_worker"
      }
    ]
  },
  "used_resources_full": [],
  "offered_resources_full": []
}"

我们已将问题跟踪到此mesos代理配置：

--isolation="filesystem/linux,cgroups/devices,gpu/nvidia"

除去这些，代理可以正常工作，但不能访问gpu资源。根据nvidiagpu支持的文档，这个配置是必需的，这些文档似乎表明版本1.0.1支持它。我们正在继续调查。