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/*
* Copyright (c) 2022, Arm Limited. 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.vectorapi;
import compiler.lib.ir_framework.*;
import java.util.Random;
import jdk.incubator.vector.DoubleVector;
import jdk.incubator.vector.FloatVector;
import jdk.incubator.vector.VectorMask;
import jdk.incubator.vector.VectorOperators;
import jdk.incubator.vector.VectorSpecies;
import jdk.test.lib.Asserts;
import jdk.test.lib.Utils;
/**
* @test
* @bug 8292587
* @key randomness
* @library /test/lib /
* @requires os.arch=="aarch64"
* @summary AArch64: Support SVE fabd instruction
* @modules jdk.incubator.vector
*
* @run driver compiler.vectorapi.VectorAbsDiffTest
*/
public class VectorAbsDiffTest {
private static final VectorSpecies<Double> D_SPECIES = DoubleVector.SPECIES_MAX;
private static final VectorSpecies<Float> F_SPECIES = FloatVector.SPECIES_MAX;
private static int LENGTH = 1024;
private static final Random RD = Utils.getRandomInstance();
private static float[] fa;
private static float[] fb;
private static float[] fr;
private static double[] da;
private static double[] db;
private static double[] dr;
private static boolean[] m;
static {
fa = new float[LENGTH];
fb = new float[LENGTH];
fr = new float[LENGTH];
da = new double[LENGTH];
db = new double[LENGTH];
dr = new double[LENGTH];
m = new boolean[LENGTH];
for (int i = 0; i < LENGTH; i++) {
fa[i] = RD.nextFloat((float) 25.0);
fb[i] = RD.nextFloat((float) 25.0);
da[i] = RD.nextDouble(25.0);
db[i] = RD.nextDouble(25.0);
m[i] = RD.nextBoolean();
}
}
@Test
@IR(counts = {IRNode.VFABD, "> 0"})
public static void testFloatAbsDiff() {
for (int i = 0; i < LENGTH; i += F_SPECIES.length()) {
FloatVector av = FloatVector.fromArray(F_SPECIES, fa, i);
FloatVector bv = FloatVector.fromArray(F_SPECIES, fb, i);
av.sub(bv).lanewise(VectorOperators.ABS).intoArray(fr, i);
}
}
@Run(test = "testFloatAbsDiff")
public static void testFloatAbsDiff_runner() {
testFloatAbsDiff();
for (int i = 0; i < LENGTH; i++) {
Asserts.assertEquals(Math.abs(fa[i] - fb[i]), fr[i]);
}
}
@Test
@IR(counts = {IRNode.VFABD_MASKED, "> 0"}, applyIf = {"UseSVE", "> 0"})
public static void testFloatAbsDiffMasked() {
for (int i = 0; i < LENGTH; i += F_SPECIES.length()) {
FloatVector av = FloatVector.fromArray(F_SPECIES, fa, i);
FloatVector bv = FloatVector.fromArray(F_SPECIES, fb, i);
VectorMask<Float> mask = VectorMask.fromArray(F_SPECIES, m, i);
av.lanewise(VectorOperators.SUB, bv, mask).lanewise(VectorOperators.ABS, mask).intoArray(fr, i);
}
}
@Run(test = "testFloatAbsDiffMasked")
public static void testFloatAbsDiffMasked_runner() {
testFloatAbsDiffMasked();
for (int i = 0; i < LENGTH; i++) {
if (m[i]) {
Asserts.assertEquals(Math.abs(fa[i] - fb[i]), fr[i]);
} else {
Asserts.assertEquals(fa[i], fr[i]);
}
}
}
@Test
@IR(counts = {IRNode.VFABD, "> 0"})
public static void testDoubleAbsDiff() {
for (int i = 0; i < LENGTH; i += D_SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(D_SPECIES, da, i);
DoubleVector bv = DoubleVector.fromArray(D_SPECIES, db, i);
av.sub(bv).lanewise(VectorOperators.ABS).intoArray(dr, i);
}
}
@Run(test = "testDoubleAbsDiff")
public static void testDoubleAbsDiff_runner() {
testDoubleAbsDiff();
for (int i = 0; i < LENGTH; i++) {
Asserts.assertEquals(Math.abs(da[i] - db[i]), dr[i]);
}
}
@Test
@IR(counts = {IRNode.VFABD_MASKED, "> 0"}, applyIf = {"UseSVE", "> 0"})
public static void testDoubleAbsDiffMasked() {
for (int i = 0; i < LENGTH; i += D_SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(D_SPECIES, da, i);
DoubleVector bv = DoubleVector.fromArray(D_SPECIES, db, i);
VectorMask<Double> mask = VectorMask.fromArray(D_SPECIES, m, i);
av.lanewise(VectorOperators.SUB, bv, mask).lanewise(VectorOperators.ABS, mask).intoArray(dr, i);
}
}
@Run(test = "testDoubleAbsDiffMasked")
public static void testDoubleAbsDiffMasked_runner() {
testDoubleAbsDiffMasked();
for (int i = 0; i < LENGTH; i++) {
if (m[i]) {
Asserts.assertEquals(Math.abs(da[i] - db[i]), dr[i]);
} else {
Asserts.assertEquals(da[i], dr[i]);
}
}
}
public static void main(String[] args) {
TestFramework.runWithFlags("--add-modules=jdk.incubator.vector");
}
}
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