/* * 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; } }