1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70
|
/*
* Copyright (C) 2022 THL A29 Limited, a Tencent company. All rights reserved.
* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
*
* This code is free software; you can redistribute it and/or modify it
* under the terms of the GNU General Public License version 2 only, as
* published by the Free Software Foundation.
*
* This code is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
* version 2 for more details (a copy is included in the LICENSE file that
* accompanied this code).
*
* You should have received a copy of the GNU General Public License version
* 2 along with this work; if not, write to the Free Software Foundation,
* Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
*
* Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
* or visit www.oracle.com if you need additional information or have any
* questions.
*/
package compiler.c2.irTests;
import compiler.lib.ir_framework.*;
/*
* @test
* @bug 8279258
* @summary Auto-vectorization enhancement for two-dimensional array operations
* @requires (os.arch != "x86" & os.arch != "i386" & os.arch != "ppc64" & os.arch != "ppc64le" & os.arch != "riscv64")
* | ((os.arch == "x86" | os.arch == "i386") & (vm.opt.UseSSE == "null" | vm.opt.UseSSE >= 2))
* | ((os.arch == "ppc64" | os.arch == "ppc64le") & vm.cpu.features ~= ".*darn.*")
* | (os.arch == "riscv64" & vm.cpu.features ~= ".*rvv.*")
* @library /test/lib /
* @run driver compiler.c2.irTests.TestAutoVectorization2DArray
*/
public class TestAutoVectorization2DArray {
final private static int NUM = 64;
private static double[][] a = new double[NUM][NUM];
private static double[][] b = new double[NUM][NUM];
private static double[][] c = new double[NUM][NUM];
public static void main(String[] args) {
TestFramework.run();
}
@Test
// Given small iteration count, the unrolling factor is not very predictable,
// hence it is difficult to exactly predict the vector size. But let's at least
// check that there is some vectorization of any size.
@IR(counts = { IRNode.LOAD_VECTOR_D, IRNode.VECTOR_SIZE_ANY, " >0 " })
@IR(counts = { IRNode.ADD_VD, IRNode.VECTOR_SIZE_ANY, " >0 " })
@IR(counts = { IRNode.STORE_VECTOR, " >0 " })
private static void testDouble(double[][] a , double[][] b, double[][] c) {
for(int i = 0; i < a.length; i++) {
for (int j = 0; j < a[0].length; j++) {
a[i][j] = b[i][j] + c[i][j];
}
}
}
@Run(test = "testDouble")
private void testDouble_runner() {
testDouble(a, b, c);
}
}
|