test/hotspot/jtreg/compiler/loopopts/TestLogSum.java
author phh
Sat, 30 Nov 2019 14:33:05 -0800
changeset 59330 5b96c12f909d
parent 47216 71c04702a3d5
permissions -rw-r--r--
8234541: C1 emits an empty message when it inlines successfully Summary: Use "inline" as the message when successfull Reviewed-by: thartmann, mdoerr Contributed-by: navy.xliu@gmail.com
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/*
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 * Copyright (c) 2014, Oracle and/or its affiliates. All rights reserved.
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 * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
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 *
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 * This code is free software; you can redistribute it and/or modify it
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 * under the terms of the GNU General Public License version 2 only, as
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 * published by the Free Software Foundation.
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 *
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 * This code is distributed in the hope that it will be useful, but WITHOUT
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 * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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 * FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License
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 * version 2 for more details (a copy is included in the LICENSE file that
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 * accompanied this code).
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 *
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 * You should have received a copy of the GNU General Public License version
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 * 2 along with this work; if not, write to the Free Software Foundation,
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 * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
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 *
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 * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
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 * or visit www.oracle.com if you need additional information or have any
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 * questions.
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 */
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/*
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 * @test
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 * @bug 8046516
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 * @summary Segmentation fault in JVM (easily reproducible)
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 *
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 * @run main/othervm -XX:-TieredCompilation -Xbatch compiler.loopopts.TestLogSum
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 * @author jackkamm@gmail.com
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 */
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package compiler.loopopts;
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import java.util.Arrays;
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import java.util.HashMap;
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import java.util.List;
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import java.util.Map;
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public class TestLogSum {
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  public static void main(String[] args) {
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    double sum;
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    for (int i = 0; i < 6; i++) {
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        for (int n = 2; n < 30; n++) {
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           for (int j = 1; j <= n; j++) {
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              for (int k = 1; k <= j; k++) {
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                // System.out.println(computeSum(k, j));
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                sum = computeSum(k, j);
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              }
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           }
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        }
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      }
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   }
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   private static Map<List<Integer>, Double> cache = new HashMap<List<Integer>, Double>();
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   public static double computeSum(int x, int y) {
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      List<Integer> key = Arrays.asList(new Integer[] {x, y});
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      if (!cache.containsKey(key)) {
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        // explicitly creating/updating a double[] array, instead of using the LogSumArray wrapper object, will prevent the error
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        LogSumArray toReturn = new LogSumArray(x);
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        // changing loop indices will prevent the error
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        // in particular, for(z=0; z<x-1; z++), and then using z+1 in place of z, will not produce error
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        for (int z = 1; z < x+1; z++) {
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           double logSummand = Math.log(z + x + y);
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           toReturn.addLogSummand(logSummand);
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        }
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        // returning the value here without cacheing it will prevent the segfault
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        cache.put(key, toReturn.retrieveLogSum());
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      }
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      return cache.get(key);
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   }
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   /*
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    * Given a bunch of logarithms log(X),log(Y),log(Z),...
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    * This class is used to compute the log of the sum, log(X+Y+Z+...)
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    */
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   private static class LogSumArray {
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      private double[] logSummandArray;
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      private int currSize;
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      private double maxLogSummand;
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      public LogSumArray(int maxEntries) {
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        this.logSummandArray = new double[maxEntries];
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        this.currSize = 0;
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        this.maxLogSummand = Double.NEGATIVE_INFINITY;
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      }
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      public void addLogSummand(double logSummand) {
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        logSummandArray[currSize] = logSummand;
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        currSize++;
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        // removing this line will prevent the error
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        maxLogSummand = Math.max(maxLogSummand, logSummand);
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      }
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      public double retrieveLogSum() {
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        if (maxLogSummand == Double.NEGATIVE_INFINITY) return Double.NEGATIVE_INFINITY;
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        assert currSize <= logSummandArray.length;
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        double factorSum = 0;
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        for (int i = 0; i < currSize; i++) {
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           factorSum += Math.exp(logSummandArray[i] - maxLogSummand);
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        }
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        return Math.log(factorSum) + maxLogSummand;
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      }
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   }
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}