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/*
* Copyright (c) 2022, 2023, 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.IntVector;
import jdk.incubator.vector.LongVector;
import jdk.incubator.vector.VectorMask;
import jdk.incubator.vector.VectorShape;
import jdk.incubator.vector.VectorSpecies;
import jdk.test.lib.Asserts;
import jdk.test.lib.Utils;
/**
* @test
* @bug 8288397
* @key randomness
* @library /test/lib /
* @requires vm.cpu.features ~= ".*sve.*" & (vm.opt.MaxVectorSize == "null" | vm.opt.MaxVectorSize >= 16)
* @summary AArch64: Fix register issues in SVE backend match rules
* @modules jdk.incubator.vector
*
* @run driver compiler.vectorapi.VectorGatherScatterTest
*/
public class VectorGatherScatterTest {
private static final VectorSpecies<Double> D_SPECIES = DoubleVector.SPECIES_MAX;
private static final VectorSpecies<Long> L_SPECIES = LongVector.SPECIES_MAX;
private static final VectorSpecies<Integer> I_SPECIES =
VectorSpecies.of(int.class, VectorShape.forBitSize(L_SPECIES.vectorBitSize() / 2));
private static int LENGTH = 128;
private static final Random RD = Utils.getRandomInstance();
private static int[] ia;
private static int[] ir;
private static long[] la;
private static long[] lr;
private static double[] da;
private static double[] dr;
private static boolean[] m;
static {
ia = new int[LENGTH];
ir = new int[LENGTH];
la = new long[LENGTH];
lr = new long[LENGTH];
da = new double[LENGTH];
dr = new double[LENGTH];
m = new boolean[LENGTH];
for (int i = 0; i < LENGTH; i++) {
ia[i] = i;
la[i] = RD.nextLong(25);
da[i] = RD.nextDouble(25.0);
m[i] = i % 2 == 0;
}
}
@Test
@Warmup(10000)
@IR(counts = { IRNode.LOAD_VECTOR_GATHER, ">= 1" })
public static void testLoadGather() {
LongVector av = LongVector.fromArray(L_SPECIES, la, 0, ia, 0);
av.intoArray(lr, 0);
IntVector bv = IntVector.fromArray(I_SPECIES, ia, 0);
bv.add(0).intoArray(ir, 0);
for(int i = 0; i < I_SPECIES.length(); i++) {
Asserts.assertEquals(ia[i], ir[i]);
}
}
@Test
@Warmup(10000)
@IR(counts = { IRNode.LOAD_VECTOR_GATHER_MASKED, ">= 1" })
public static void testLoadGatherMasked() {
VectorMask<Long> mask = VectorMask.fromArray(L_SPECIES, m, 0);
// "mask" is guaranteed to be not alltrue, in case the masked
// gather load is optimized to the non-masked version.
LongVector av = LongVector.fromArray(L_SPECIES, la, 0, ia, 0, mask);
av.intoArray(lr, 0);
IntVector bv = IntVector.fromArray(I_SPECIES, ia, 0);
bv.add(0).intoArray(ir, 0);
for(int i = 0; i < I_SPECIES.length(); i++) {
Asserts.assertEquals(ia[i], ir[i]);
}
}
@Test
@Warmup(10000)
@IR(counts = { IRNode.STORE_VECTOR_SCATTER, ">= 1" })
public static void testStoreScatter() {
DoubleVector av = DoubleVector.fromArray(D_SPECIES, da, 0);
av.intoArray(dr, 0, ia, 0);
IntVector bv = IntVector.fromArray(I_SPECIES, ia, 0);
bv.add(0).intoArray(ir, 0);
for(int i = 0; i < I_SPECIES.length(); i++) {
Asserts.assertEquals(ia[i], ir[i]);
}
}
@Test
@Warmup(10000)
@IR(counts = { IRNode.STORE_VECTOR_SCATTER_MASKED, ">= 1" })
public static void testStoreScatterMasked() {
VectorMask<Double> mask = VectorMask.fromArray(D_SPECIES, m, 0);
DoubleVector av = DoubleVector.fromArray(D_SPECIES, da, 0);
// "mask" is guaranteed to be not alltrue, in case the masked
// scatter store is optimized to the non-masked version.
av.intoArray(dr, 0, ia, 0, mask);
IntVector bv = IntVector.fromArray(I_SPECIES, ia, 0);
bv.add(0).intoArray(ir, 0);
for(int i = 0; i < I_SPECIES.length(); i++) {
Asserts.assertEquals(ia[i], ir[i]);
}
}
public static void main(String[] args) {
TestFramework.runWithFlags("--add-modules=jdk.incubator.vector",
"-XX:UseSVE=1");
}
}
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