jdk/test/hotspot/jtreg/compiler/vectorapi/VectorExpandTest.java
2025-09-23 07:00:17 +00:00

199 lines
7.3 KiB
Java

/*
* Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. 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.generators.*;
import compiler.lib.ir_framework.*;
import jdk.incubator.vector.*;
import jdk.test.lib.Asserts;
/**
* @test
* @bug 8363989
* @key randomness
* @library /test/lib /
* @summary AArch64: Add missing backend support of VectorAPI expand operation
* @modules jdk.incubator.vector
*
* @run driver compiler.vectorapi.VectorExpandTest
*/
public class VectorExpandTest {
static final VectorSpecies<Byte> B_SPECIES = ByteVector.SPECIES_MAX;
static final VectorSpecies<Short> S_SPECIES = ShortVector.SPECIES_MAX;
static final VectorSpecies<Integer> I_SPECIES = IntVector.SPECIES_MAX;
static final VectorSpecies<Float> F_SPECIES = FloatVector.SPECIES_MAX;
static final VectorSpecies<Long> L_SPECIES = LongVector.SPECIES_MAX;
static final VectorSpecies<Double> D_SPECIES = DoubleVector.SPECIES_MAX;
static final int LENGTH = 512;
static final Generators RD = Generators.G;
static byte[] ba, bb;
static short[] sa, sb;
static int[] ia, ib;
static long[] la, lb;
static float[] fa, fb;
static double[] da, db;
static boolean[] ma;
static {
ba = new byte[LENGTH];
bb = new byte[LENGTH];
sa = new short[LENGTH];
sb = new short[LENGTH];
ia = new int[LENGTH];
ib = new int[LENGTH];
la = new long[LENGTH];
lb = new long[LENGTH];
fa = new float[LENGTH];
fb = new float[LENGTH];
da = new double[LENGTH];
db = new double[LENGTH];
ma = new boolean[LENGTH];
Generator<Integer> iGen = RD.ints();
Generator<Long> lGen = RD.longs();
Generator<Float> fGen = RD.floats();
Generator<Double> dGen = RD.doubles();
for (int i = 0; i < LENGTH; i++) {
ba[i] = iGen.next().byteValue();
sa[i] = iGen.next().shortValue();
ma[i] = iGen.next() % 2 == 0;
}
RD.fill(iGen, ia);
RD.fill(lGen, la);
RD.fill(fGen, fa);
RD.fill(dGen, da);
}
@Test
@IR(counts = { IRNode.EXPAND_VB, "= 1" }, applyIfCPUFeatureOr = { "asimd", "true", "rvv", "true" })
public static void testVectorExpandByte(ByteVector av, VectorMask<Byte> m) {
av.expand(m).intoArray(bb, 0);
}
@Run(test = "testVectorExpandByte")
public static void testVectorExpandByte_runner() {
ByteVector av = ByteVector.fromArray(B_SPECIES, ba, 0);
VectorMask<Byte> m = VectorMask.fromArray(B_SPECIES, ma, 0);
testVectorExpandByte(av, m);
int index = 0;
for (int i = 0; i < m.length(); i++) {
Asserts.assertEquals(m.laneIsSet(i) ? ba[index++] : (byte)0, bb[i]);
}
}
@Test
@IR(counts = { IRNode.EXPAND_VS, "= 1" }, applyIfCPUFeatureOr = { "asimd", "true", "rvv", "true" })
public static void testVectorExpandShort(ShortVector av, VectorMask<Short> m) {
av.expand(m).intoArray(sb, 0);
}
@Run(test = "testVectorExpandShort")
public static void testVectorExpandShort_runner() {
ShortVector av = ShortVector.fromArray(S_SPECIES, sa, 0);
VectorMask<Short> m = VectorMask.fromArray(S_SPECIES, ma, 0);
testVectorExpandShort(av, m);
int index = 0;
for (int i = 0; i < m.length(); i++) {
Asserts.assertEquals(m.laneIsSet(i) ? sa[index++] : (short)0, sb[i]);
}
}
@Test
@IR(counts = { IRNode.EXPAND_VI, "= 1" }, applyIfCPUFeatureOr = { "asimd", "true", "rvv", "true" })
public static void testVectorExpandInt(IntVector av, VectorMask<Integer> m) {
av.expand(m).intoArray(ib, 0);
}
@Run(test = "testVectorExpandInt")
public static void testVectorExpandInt_runner() {
IntVector av = IntVector.fromArray(I_SPECIES, ia, 0);
VectorMask<Integer> m = VectorMask.fromArray(I_SPECIES, ma, 0);
testVectorExpandInt(av, m);
int index = 0;
for (int i = 0; i < m.length(); i++) {
Asserts.assertEquals(m.laneIsSet(i) ? ia[index++] : (int)0, ib[i]);
}
}
@Test
@IR(counts = { IRNode.EXPAND_VL, "= 1" }, applyIfCPUFeatureOr = { "asimd", "true", "rvv", "true" })
public static void testVectorExpandLong(LongVector av, VectorMask<Long> m) {
av.expand(m).intoArray(lb, 0);
}
@Run(test = "testVectorExpandLong")
public static void testVectorExpandLong_runner() {
LongVector av = LongVector.fromArray(L_SPECIES, la, 0);
VectorMask<Long> m = VectorMask.fromArray(L_SPECIES, ma, 0);
testVectorExpandLong(av, m);
int index = 0;
for (int i = 0; i < m.length(); i++) {
Asserts.assertEquals(m.laneIsSet(i) ? la[index++] : (long)0, lb[i]);
}
}
@Test
@IR(counts = { IRNode.EXPAND_VF, "= 1" }, applyIfCPUFeatureOr = { "asimd", "true", "rvv", "true" })
public static void testVectorExpandFloat(FloatVector av, VectorMask<Float> m) {
av.expand(m).intoArray(fb, 0);
}
@Run(test = "testVectorExpandFloat")
public static void testVectorExpandFloat_runner() {
FloatVector av = FloatVector.fromArray(F_SPECIES, fa, 0);
VectorMask<Float> m = VectorMask.fromArray(F_SPECIES, ma, 0);
testVectorExpandFloat(av, m);
int index = 0;
for (int i = 0; i < m.length(); i++) {
Asserts.assertEquals(m.laneIsSet(i) ? fa[index++] : (float)0, fb[i]);
}
}
@Test
@IR(counts = { IRNode.EXPAND_VD, "= 1" }, applyIfCPUFeatureOr = { "asimd", "true", "rvv", "true" })
public static void testVectorExpandDouble(DoubleVector av, VectorMask<Double> m) {
av.expand(m).intoArray(db, 0);
}
@Run(test = "testVectorExpandDouble")
public static void testVectorExpandDouble_runner() {
DoubleVector av = DoubleVector.fromArray(D_SPECIES, da, 0);
VectorMask<Double> m = VectorMask.fromArray(D_SPECIES, ma, 0);
testVectorExpandDouble(av, m);
int index = 0;
for (int i = 0; i < m.length(); i++) {
Asserts.assertEquals(m.laneIsSet(i) ? da[index++] : (double)0, db[i]);
}
}
public static void main(String[] args) {
TestFramework testFramework = new TestFramework();
testFramework.setDefaultWarmup(10000)
.addFlags("--add-modules=jdk.incubator.vector")
.start();
}
}