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/*
* Copyright (c) 2023, Oracle and/or its 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.
*/
/**
* @test
* @bug 8287087
* @summary Test that floating-point min/max x64 operations are implemented
* differently depending on whether they are part of a reduction. These
* tests complement those in TestFpMinMaxIntrinsics, which focus more
* on correctness aspects.
* @library /test/lib /
* @requires os.simpleArch == "x64" & vm.cpu.features ~= ".*avx.*"
* @run driver compiler.intrinsics.math.TestFpMinMaxReductions
*/
package compiler.intrinsics.math;
import compiler.lib.ir_framework.*;
public class TestFpMinMaxReductions {
private static float acc;
private static float floatInput1;
private static float floatInput2;
private static float[] floatArray = new float[1000];
private static double doubleInput1;
private static double doubleInput2;
private static double[] doubleArray = new double[1000];
private static int stride = 1;
public static void main(String[] args) throws Exception {
TestFramework.run();
}
@Test
@IR(counts = {IRNode.MIN_F_REG, "1"},
failOn = {IRNode.MIN_F_REDUCTION_REG})
private static float testFloatMin() {
return Math.min(floatInput1, floatInput2);
}
@Test
@IR(counts = {IRNode.MAX_F_REG, "1"},
failOn = {IRNode.MAX_F_REDUCTION_REG})
private static float testFloatMax() {
return Math.max(floatInput1, floatInput2);
}
@Test
@IR(counts = {IRNode.MIN_F_REDUCTION_REG, ">= 1"})
private static float testFloatMinReduction() {
float fmin = Float.POSITIVE_INFINITY;
for (int i = 0; i < floatArray.length; i++) {
fmin = Math.min(fmin, floatArray[i]);
}
return fmin;
}
@Test
@IR(counts = {IRNode.MIN_F_REDUCTION_REG, ">= 1"})
private static float testFloatMinReductionPartiallyUnrolled() {
float fmin = Float.POSITIVE_INFINITY;
for (int i = 0; i < floatArray.length / 2; i++) {
fmin = Math.min(fmin, floatArray[2*i]);
fmin = Math.min(fmin, floatArray[2*i + 1]);
}
return fmin;
}
@Test
@IR(counts = {IRNode.MIN_F_REDUCTION_REG, ">= 1"})
private static float testFloatMinReductionNonCounted() {
float fmin = Float.POSITIVE_INFINITY;
for (int i = 0; i < floatArray.length; i += stride) {
fmin = Math.min(fmin, floatArray[i]);
}
return fmin;
}
@Test
@IR(counts = {IRNode.MIN_F_REDUCTION_REG, ">= 1"})
private static float testFloatMinReductionGlobalAccumulator() {
acc = Float.POSITIVE_INFINITY;
for (int i = 0; i < floatArray.length; i++) {
acc = Math.min(acc, floatArray[i]);
}
return acc;
}
@Test
@IR(counts = {IRNode.MIN_F_REDUCTION_REG, ">= 1"})
private static float testFloatMinReductionInOuterLoop() {
float fmin = Float.POSITIVE_INFINITY;
int count = 0;
for (int i = 0; i < floatArray.length; i++) {
fmin = Math.min(fmin, floatArray[i]);
for (int j = 0; j < 10; j += stride) {
count++;
}
}
return fmin + count;
}
@Test
@IR(counts = {IRNode.MAX_F_REDUCTION_REG, ">= 1"})
private static float testFloatMaxReduction() {
float fmax = Float.NEGATIVE_INFINITY;
for (int i = 0; i < floatArray.length; i++) {
fmax = Math.max(fmax, floatArray[i]);
}
return fmax;
}
@Test
@IR(counts = {IRNode.MIN_D_REG, "1"},
failOn = {IRNode.MIN_D_REDUCTION_REG})
private static double testDoubleMin() {
return Math.min(doubleInput1, doubleInput2);
}
@Test
@IR(counts = {IRNode.MAX_D_REG, "1"},
failOn = {IRNode.MAX_D_REDUCTION_REG})
private static double testDoubleMax() {
return Math.max(doubleInput1, doubleInput2);
}
@Test
@IR(counts = {IRNode.MIN_D_REDUCTION_REG, ">= 1"})
private static double testDoubleMinReduction() {
double fmin = Double.POSITIVE_INFINITY;
for (int i = 0; i < doubleArray.length; i++) {
fmin = Math.min(fmin, doubleArray[i]);
}
return fmin;
}
@Test
@IR(counts = {IRNode.MAX_D_REDUCTION_REG, ">= 1"})
private static double testDoubleMaxReduction() {
double fmax = Double.NEGATIVE_INFINITY;
for (int i = 0; i < doubleArray.length; i++) {
fmax = Math.max(fmax, doubleArray[i]);
}
return fmax;
}
}
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