hadoop GpuNodeResourceUpdateHandler 源码

  • 2022-10-20
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haddop GpuNodeResourceUpdateHandler 代码

文件路径:/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/main/java/org/apache/hadoop/yarn/server/nodemanager/containermanager/resourceplugin/gpu/GpuNodeResourceUpdateHandler.java

/**
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.hadoop.yarn.server.nodemanager.containermanager.resourceplugin.gpu;

import static org.apache.hadoop.yarn.server.nodemanager.containermanager.linux.resources.ResourcesExceptionUtil.throwIfNecessary;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.yarn.api.records.Resource;
import org.apache.hadoop.yarn.api.records.ResourceInformation;
import org.apache.hadoop.yarn.conf.YarnConfiguration;
import org.apache.hadoop.yarn.exceptions.YarnException;
import org.apache.hadoop.yarn.server.nodemanager.containermanager.resourceplugin.NodeResourceUpdaterPlugin;
import org.apache.hadoop.yarn.server.nodemanager.webapp.dao.gpu.PerGpuDeviceInformation;
import org.apache.hadoop.yarn.util.resource.ResourceUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;

import static org.apache.hadoop.yarn.api.records.ResourceInformation.GPU_URI;

public class GpuNodeResourceUpdateHandler extends NodeResourceUpdaterPlugin {
  private static final Logger LOG =
      LoggerFactory.getLogger(GpuNodeResourceUpdateHandler.class);
  private final GpuDiscoverer gpuDiscoverer;
  private Configuration conf;

  public GpuNodeResourceUpdateHandler(GpuDiscoverer gpuDiscoverer,
      Configuration conf) {
    this.gpuDiscoverer = gpuDiscoverer;
    this.conf = conf;
  }

  @Override
  public void updateConfiguredResource(Resource res) throws YarnException {
    LOG.info("Initializing configured GPU resources for the NodeManager.");

    List<GpuDevice> usableGpus = gpuDiscoverer.getGpusUsableByYarn();
    if (usableGpus == null || usableGpus.isEmpty()) {
      String message = "GPU is enabled, " +
          "but could not find any usable GPUs on the NodeManager!";
      LOG.error(message);
      // No gpu can be used by YARN.
      throwIfNecessary(new YarnException(message), conf);
      return;
    }

    long nUsableGpus = usableGpus.size();

    Map<String, ResourceInformation> configuredResourceTypes =
        ResourceUtils.getResourceTypes();
    if (!configuredResourceTypes.containsKey(GPU_URI)) {
      LOG.warn("Found " + nUsableGpus + " usable GPUs, however "
          + GPU_URI
          + " resource-type is not configured inside"
          + " resource-types.xml, please configure it to enable GPU feature or"
          + " remove " + GPU_URI + " from "
          + YarnConfiguration.NM_RESOURCE_PLUGINS);
    }

    res.setResourceValue(GPU_URI, nUsableGpus);
  }

  /**
   *
   * @return The average physical GPUs used in this node.
   *
   * For example:
   * Node with total 4 GPUs
   * Physical used 2.4 GPUs
   * Will return 2.4/4 = 0.6f
   *
   * @throws Exception when any error happens
   */
  public float getAvgNodeGpuUtilization() throws Exception{
    List<PerGpuDeviceInformation> gpuList =
        gpuDiscoverer.getGpuDeviceInformation().getGpus();
    Float avgGpuUtilization = 0F;
    if (gpuList != null &&
        gpuList.size() != 0) {

      avgGpuUtilization = getTotalNodeGpuUtilization() / gpuList.size();
    }
    return avgGpuUtilization;
  }

  /**
   *
   * @return The total physical GPUs used in this node.
   *
   * For example:
   * Node with total 4 GPUs
   * Physical used 2.4 GPUs
   * Will return 2.4f
   *
   * @throws Exception when any error happens
   */
  public float getTotalNodeGpuUtilization() throws Exception{
    List<PerGpuDeviceInformation> gpuList =
        gpuDiscoverer.getGpuDeviceInformation().getGpus();
    Float totalGpuUtilization = gpuList
        .stream()
        .map(g -> g.getGpuUtilizations().getOverallGpuUtilization())
        .collect(Collectors.summingDouble(Float::floatValue))
        .floatValue();
    return totalGpuUtilization;
  }
}

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