5a0a238f67
Co-authored-by: Jatin Bhateja <jbhateja@openjdk.org> Reviewed-by: chagedorn, thartmann
171 lines
5.4 KiB
Java
171 lines
5.4 KiB
Java
/*
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* Copyright (c) 2023, Oracle and/or its affiliates. All rights reserved.
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* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
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*
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* This code is free software; you can redistribute it and/or modify it
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* under the terms of the GNU General Public License version 2 only, as
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* published by the Free Software Foundation.
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*
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* This code is distributed in the hope that it will be useful, but WITHOUT
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* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
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* version 2 for more details (a copy is included in the LICENSE file that
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* accompanied this code).
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*
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* You should have received a copy of the GNU General Public License version
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* 2 along with this work; if not, write to the Free Software Foundation,
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* Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
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*
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* Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
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* or visit www.oracle.com if you need additional information or have any
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* questions.
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*/
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/**
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* @test
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* @bug 8287087
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* @summary Test that floating-point min/max x64 operations are implemented
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* differently depending on whether they are part of a reduction. These
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* tests complement those in TestFpMinMaxIntrinsics, which focus more
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* on correctness aspects.
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* @library /test/lib /
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* @requires os.simpleArch == "x64" & vm.cpu.features ~= ".*avx.*"
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* @run driver compiler.intrinsics.math.TestFpMinMaxReductions
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*/
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package compiler.intrinsics.math;
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import compiler.lib.ir_framework.*;
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public class TestFpMinMaxReductions {
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private static float acc;
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private static float floatInput1;
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private static float floatInput2;
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private static float[] floatArray = new float[1000];
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private static double doubleInput1;
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private static double doubleInput2;
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private static double[] doubleArray = new double[1000];
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private static int stride = 1;
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public static void main(String[] args) throws Exception {
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TestFramework.run();
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}
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@Test
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@IR(counts = {IRNode.MIN_F_REG, "1"},
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failOn = {IRNode.MIN_F_REDUCTION_REG})
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private static float testFloatMin() {
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return Math.min(floatInput1, floatInput2);
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}
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@Test
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@IR(counts = {IRNode.MAX_F_REG, "1"},
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failOn = {IRNode.MAX_F_REDUCTION_REG})
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private static float testFloatMax() {
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return Math.max(floatInput1, floatInput2);
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}
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@Test
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@IR(counts = {IRNode.MIN_F_REDUCTION_REG, ">= 1"})
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private static float testFloatMinReduction() {
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float fmin = Float.POSITIVE_INFINITY;
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for (int i = 0; i < floatArray.length; i++) {
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fmin = Math.min(fmin, floatArray[i]);
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}
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return fmin;
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}
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@Test
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@IR(counts = {IRNode.MIN_F_REDUCTION_REG, ">= 1"})
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private static float testFloatMinReductionPartiallyUnrolled() {
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float fmin = Float.POSITIVE_INFINITY;
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for (int i = 0; i < floatArray.length / 2; i++) {
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fmin = Math.min(fmin, floatArray[2*i]);
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fmin = Math.min(fmin, floatArray[2*i + 1]);
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}
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return fmin;
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}
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@Test
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@IR(counts = {IRNode.MIN_F_REDUCTION_REG, ">= 1"})
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private static float testFloatMinReductionNonCounted() {
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float fmin = Float.POSITIVE_INFINITY;
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for (int i = 0; i < floatArray.length; i += stride) {
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fmin = Math.min(fmin, floatArray[i]);
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}
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return fmin;
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}
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@Test
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@IR(counts = {IRNode.MIN_F_REDUCTION_REG, ">= 1"})
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private static float testFloatMinReductionGlobalAccumulator() {
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acc = Float.POSITIVE_INFINITY;
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for (int i = 0; i < floatArray.length; i++) {
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acc = Math.min(acc, floatArray[i]);
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}
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return acc;
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}
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@Test
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@IR(counts = {IRNode.MIN_F_REDUCTION_REG, ">= 1"})
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private static float testFloatMinReductionInOuterLoop() {
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float fmin = Float.POSITIVE_INFINITY;
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int count = 0;
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for (int i = 0; i < floatArray.length; i++) {
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fmin = Math.min(fmin, floatArray[i]);
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for (int j = 0; j < 10; j += stride) {
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count++;
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}
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}
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return fmin + count;
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}
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@Test
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@IR(counts = {IRNode.MAX_F_REDUCTION_REG, ">= 1"})
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private static float testFloatMaxReduction() {
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float fmax = Float.NEGATIVE_INFINITY;
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for (int i = 0; i < floatArray.length; i++) {
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fmax = Math.max(fmax, floatArray[i]);
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}
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return fmax;
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}
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@Test
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@IR(counts = {IRNode.MIN_D_REG, "1"},
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failOn = {IRNode.MIN_D_REDUCTION_REG})
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private static double testDoubleMin() {
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return Math.min(doubleInput1, doubleInput2);
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}
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@Test
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@IR(counts = {IRNode.MAX_D_REG, "1"},
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failOn = {IRNode.MAX_D_REDUCTION_REG})
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private static double testDoubleMax() {
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return Math.max(doubleInput1, doubleInput2);
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}
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@Test
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@IR(counts = {IRNode.MIN_D_REDUCTION_REG, ">= 1"})
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private static double testDoubleMinReduction() {
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double fmin = Double.POSITIVE_INFINITY;
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for (int i = 0; i < doubleArray.length; i++) {
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fmin = Math.min(fmin, doubleArray[i]);
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}
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return fmin;
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}
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@Test
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@IR(counts = {IRNode.MAX_D_REDUCTION_REG, ">= 1"})
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private static double testDoubleMaxReduction() {
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double fmax = Double.NEGATIVE_INFINITY;
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for (int i = 0; i < doubleArray.length; i++) {
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fmax = Math.max(fmax, doubleArray[i]);
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}
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return fmax;
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}
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}
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