com.github.hdl.tensorflow.yarn.app.TFClient.java Source code

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Here is the source code for com.github.hdl.tensorflow.yarn.app.TFClient.java

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/**
 * 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
 * <p>
 * http://www.apache.org/licenses/LICENSE-2.0
 * <p>
 * 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 com.github.hdl.tensorflow.yarn.app;

import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;

import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStreamReader;
import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;
import java.util.Map;

public class TFClient {

    private static final Log LOG = LogFactory.getLog(TFClient.class);
    public static final String TF_CLIENT_PY = "tf_client.py";
    private String tfClientPy;

    private static final String TF_PY_OPT_WORKERS = "wk";
    private static final String TF_PY_OPT_PSES = "ps";

    private String workers = null;
    private String pses = null;

    private void execCmd(List<String> cmd) {
        try {
            Process process = new ProcessBuilder().command(cmd).inheritIO().start();
            process.waitFor();
        } catch (IOException | InterruptedException e) {
            e.printStackTrace();
        }
    }

    public TFClient(String tfClientPy) {
        this.tfClientPy = tfClientPy;
    }

    public void startTensorBoardClient(String tbEventDir) {
        if (tbEventDir != "") {
            List<String> cmd = new ArrayList<>();
            cmd.add("tensorboard");
            cmd.add("--logdir=" + tbEventDir);
            execCmd(cmd);
        }
    }

    public void startTensorflowClient(String clusterSpecJsonString) {
        if (clusterSpecJsonString == null || clusterSpecJsonString.equals("")) {
            return;
        }

        Map<String, List<String>> clusterSpec = null;

        try {
            clusterSpec = ClusterSpec.toClusterMapFromJsonString(clusterSpecJsonString);
        } catch (IOException e) {
            LOG.error("cluster spec is invalid!");
            e.printStackTrace();
            return;
        }

        List<String> workerArray = clusterSpec.get(ClusterSpec.WORKER);
        if (workerArray != null) {
            Iterator<String> it = workerArray.iterator();
            String w = it.next();
            if (w != null) {
                workers = w;
            }

            while (it.hasNext()) {
                workers += "," + it.next();
            }
        }

        List<String> psArray = clusterSpec.get(ClusterSpec.PS);
        if (psArray != null) {
            Iterator<String> it = psArray.iterator();
            String p = it.next();
            if (p != null) {
                pses = p;
            }

            while (it.hasNext()) {
                pses += "," + it.next();
            }
        }

        LOG.info("workers: <" + workers + ">;" + "pses: <" + pses + ">");

        List<String> cmd = new ArrayList<>();
        cmd.add("python");
        cmd.add(tfClientPy);

        if (workers != null) {
            cmd.add("--" + TF_PY_OPT_WORKERS);
            cmd.add(workers);
        }

        if (pses != null) {
            cmd.add("--" + TF_PY_OPT_PSES);
            cmd.add(pses);
        }

        LOG.info("TF client command is [" + cmd + "]");
        execCmd(cmd);
    }
}