/* * 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 D_SPECIES = DoubleVector.SPECIES_MAX; private static final VectorSpecies 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 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 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"); } }