3789983e89
Reviewed-by: darcy, ihse
90 lines
3.2 KiB
Java
90 lines
3.2 KiB
Java
/*
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* Copyright (c) 2016, 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 8160425
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* @summary Test vectorization with a signalling NaN.
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* @run main/othervm -XX:+IgnoreUnrecognizedVMOptions -XX:-OptimizeFill
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* compiler.vectorization.TestNaNVector
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* @run main/othervm -XX:+IgnoreUnrecognizedVMOptions -XX:-OptimizeFill
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* -XX:MaxVectorSize=4 compiler.vectorization.TestNaNVector
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*/
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package compiler.vectorization;
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public class TestNaNVector {
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private char[] array;
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private static final int LEN = 1024;
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public static void main(String args[]) {
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TestNaNVector test = new TestNaNVector();
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// Check double precision NaN
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for (int i = 0; i < 10_000; ++i) {
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test.vectorizeNaNDP();
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}
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System.out.println("Checking double precision Nan");
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test.checkResult(0xfff7);
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// Check single precision NaN
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for (int i = 0; i < 10_000; ++i) {
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test.vectorizeNaNSP();
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}
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System.out.println("Checking single precision Nan");
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test.checkResult(0xff80);
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}
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public TestNaNVector() {
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array = new char[LEN];
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}
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public void vectorizeNaNDP() {
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// This loop will be vectorized and the array store will be replaced by
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// a 64-bit vector store to four subsequent array elements. The vector
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// should look like this '0xfff7fff7fff7fff7' and is read from the constant
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// table. However, in floating point arithmetic this is a signalling NaN
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// which may be converted to a quiet NaN when processed by the x87 FPU.
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// If the signalling bit is set, the vector ends up in the constant table
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// as '0xfffffff7fff7fff7' which leads to an incorrect result.
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for (int i = 0; i < LEN; ++i) {
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array[i] = 0xfff7;
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}
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}
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public void vectorizeNaNSP() {
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// Same as above but with single precision
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for (int i = 0; i < LEN; ++i) {
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array[i] = 0xff80;
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}
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}
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public void checkResult(int expected) {
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for (int i = 0; i < LEN; ++i) {
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if (array[i] != expected) {
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throw new RuntimeException("Invalid result: array[" + i + "] = " + (int)array[i] + " != " + expected);
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}
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}
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}
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}
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