hadoop NvidiaBinaryHelper 源码
haddop NvidiaBinaryHelper 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/NvidiaBinaryHelper.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 java.io.IOException;
import java.util.HashMap;
import org.apache.hadoop.util.Shell;
import org.apache.hadoop.yarn.conf.YarnConfiguration;
import org.apache.hadoop.yarn.exceptions.YarnException;
import org.apache.hadoop.yarn.server.nodemanager.webapp.dao.gpu.GpuDeviceInformation;
import org.apache.hadoop.yarn.server.nodemanager.webapp.dao.gpu.GpuDeviceInformationParser;
/**
* Executes the "nvidia-smi" command and returns an object
* based on its output.
*
*/
public class NvidiaBinaryHelper {
/**
* command should not run more than 10 sec.
*/
private static final int MAX_EXEC_TIMEOUT_MS = 10 * 1000;
/**
* @param pathOfGpuBinary The path of the binary
* @return the GpuDeviceInformation parsed from the nvidia-smi output
* @throws IOException if the binary output is not readable
* @throws YarnException if the pathOfGpuBinary is null,
* or the output parse failed
*/
synchronized GpuDeviceInformation getGpuDeviceInformation(
String pathOfGpuBinary) throws IOException, YarnException {
GpuDeviceInformationParser parser = new GpuDeviceInformationParser();
if (pathOfGpuBinary == null) {
throw new YarnException(
"Failed to find GPU discovery executable, please double check "
+ YarnConfiguration.NM_GPU_PATH_TO_EXEC + " setting.");
}
String output = Shell.execCommand(new HashMap<>(),
new String[]{pathOfGpuBinary, "-x", "-q"}, MAX_EXEC_TIMEOUT_MS);
return parser.parseXml(output);
}
}
相关信息
相关文章
hadoop GpuDeviceSpecificationException 源码
hadoop GpuDockerCommandPluginFactory 源码
hadoop GpuNodeResourceUpdateHandler 源码
hadoop NvidiaDockerV1CommandPlugin 源码
0
赞
热门推荐
-
2、 - 优质文章
-
3、 gate.io
-
7、 golang
-
9、 openharmony
-
10、 Vue中input框自动聚焦