undefect. CWE-407 — 63 sites patched across 27 ecosystems
Authors: russell@unturf.com · brackishbert@gmail.com · foxhop.net · TimeHexOn.com Patches, unit tests, benchmarks, whitepaper, and outreach briefs. Public domain — no copyright claimed. Use freely.
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/*
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* Copyright (c) 2022, 2025, 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 8294588
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* @summary Auto-vectorize Float.floatToFloat16, Float.float16ToFloat APIs
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* @requires vm.compiler2.enabled
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* @library /test/lib /
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* @run driver compiler.vectorization.TestFloatConversionsVector
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*/
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package compiler.vectorization;
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import java.util.Set;
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import compiler.lib.ir_framework.*;
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import jdk.test.lib.Asserts;
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public class TestFloatConversionsVector {
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private static final int ARRLEN = 1024;
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private static final int ITERS = 11000;
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private static float [] finp;
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private static short [] sout;
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private static short [] sinp;
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private static float [] fout;
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public static void main(String args[]) {
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TestFramework framework = new TestFramework(TestFloatConversionsVector.class);
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framework.addFlags("-XX:-TieredCompilation", "-XX:CompileThresholdScaling=0.3");
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framework.addCrossProductScenarios(Set.of("-XX:-UseCompactObjectHeaders", "-XX:+UseCompactObjectHeaders"),
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Set.of("-XX:-AlignVector", "-XX:+AlignVector"));
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framework.start();
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System.out.println("PASSED");
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}
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@Test
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@IR(counts = {IRNode.VECTOR_CAST_F2HF, IRNode.VECTOR_SIZE + "min(max_float, max_short)", "> 0"},
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applyIfOr = {"UseCompactObjectHeaders", "false", "AlignVector", "false"},
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applyIfPlatformOr = {"x64", "true", "aarch64", "true", "riscv64", "true"},
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applyIfCPUFeatureOr = {"f16c", "true", "avx512f", "true", "zvfh", "true", "asimd", "true", "sve", "true"})
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public void test_float_float16(short[] sout, float[] finp) {
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for (int i = 0; i < finp.length; i++) {
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sout[i] = Float.floatToFloat16(finp[i]);
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// With AlignVector, we need 8-byte alignment of vector loads/stores.
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// UseCompactObjectHeaders=false UseCompactObjectHeaders=true
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// F_adr = base + 16 + 4*i -> i % 2 = 0 F_adr = base + 12 + 4*i -> i % 2 = 1
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// S_adr = base + 16 + 2*i -> i % 4 = 0 S_adr = base + 12 + 2*i -> i % 4 = 2
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// -> vectorize -> no vectorization
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}
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}
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@Test
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public void test_float_float16_strided(short[] sout, float[] finp) {
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for (int i = 0; i < finp.length/2; i++) {
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sout[i*2] = Float.floatToFloat16(finp[i*2]);
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}
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}
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@Test
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@IR(counts = {IRNode.VECTOR_CAST_F2HF, IRNode.VECTOR_SIZE_2, "> 0"},
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applyIfOr = {"UseCompactObjectHeaders", "false", "AlignVector", "false"},
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applyIfCPUFeature = {"asimd", "true"})
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public void test_float_float16_short_vector(short[] sout, float[] finp) {
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for (int i = 0; i < finp.length; i += 4) {
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sout[i] = Float.floatToFloat16(finp[i]);
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sout[i + 1] = Float.floatToFloat16(finp[i + 1]);
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}
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}
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@Run(test = {"test_float_float16", "test_float_float16_strided",
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"test_float_float16_short_vector"}, mode = RunMode.STANDALONE)
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public void kernel_test_float_float16() {
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finp = new float[ARRLEN];
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sout = new short[ARRLEN];
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for (int i = 0; i < ARRLEN; i++) {
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finp[i] = (float) i * 1.4f;
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}
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for (int i = 0; i < ITERS; i++) {
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test_float_float16(sout, finp);
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}
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// Verifying the result
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for (int i = 0; i < ARRLEN; i++) {
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Asserts.assertEquals(Float.floatToFloat16(finp[i]), sout[i]);
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}
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for (int i = 0; i < ITERS; i++) {
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test_float_float16_strided(sout, finp);
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}
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// Verifying the result
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for (int i = 0; i < ARRLEN/2; i++) {
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Asserts.assertEquals(Float.floatToFloat16(finp[i*2]), sout[i*2]);
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}
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for (int i = 0; i < ITERS; i++) {
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test_float_float16_short_vector(sout, finp);
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}
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// Verifying the result
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for (int i = 0; i < ARRLEN; i += 4) {
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Asserts.assertEquals(Float.floatToFloat16(finp[i]), sout[i]);
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Asserts.assertEquals(Float.floatToFloat16(finp[i + 1]), sout[i + 1]);
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}
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}
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@Test
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@IR(counts = {IRNode.VECTOR_CAST_HF2F, IRNode.VECTOR_SIZE + "min(max_float, max_short)", "> 0"},
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applyIfOr = {"UseCompactObjectHeaders", "false", "AlignVector", "false"},
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applyIfPlatformOr = {"x64", "true", "aarch64", "true", "riscv64", "true"},
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applyIfCPUFeatureOr = {"f16c", "true", "avx512f", "true", "zvfh", "true", "asimd", "true", "sve", "true"})
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public void test_float16_float(float[] fout, short[] sinp) {
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for (int i = 0; i < sinp.length; i++) {
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fout[i] = Float.float16ToFloat(sinp[i]);
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// With AlignVector, we need 8-byte alignment of vector loads/stores.
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// UseCompactObjectHeaders=false UseCompactObjectHeaders=true
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// F_adr = base + 16 + 4*i -> i % 2 = 0 F_adr = base + 12 + 4*i -> i % 2 = 1
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// S_adr = base + 16 + 2*i -> i % 4 = 0 S_adr = base + 12 + 2*i -> i % 4 = 2
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// -> vectorize -> no vectorization
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}
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}
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@Test
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public void test_float16_float_strided(float[] fout, short[] sinp) {
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for (int i = 0; i < sinp.length/2; i++) {
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fout[i*2] = Float.float16ToFloat(sinp[i*2]);
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}
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}
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@Test
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@IR(counts = {IRNode.VECTOR_CAST_HF2F, IRNode.VECTOR_SIZE_2, "> 0"},
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applyIfOr = {"UseCompactObjectHeaders", "false", "AlignVector", "false"},
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applyIfCPUFeature = {"asimd", "true"})
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public void test_float16_float_short_vector(float[] fout, short[] sinp) {
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for (int i = 0; i < sinp.length; i += 4) {
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fout[i] = Float.float16ToFloat(sinp[i]);
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fout[i + 1] = Float.float16ToFloat(sinp[i + 1]);
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}
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}
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@Run(test = {"test_float16_float", "test_float16_float_strided",
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"test_float16_float_short_vector"}, mode = RunMode.STANDALONE)
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public void kernel_test_float16_float() {
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sinp = new short[ARRLEN];
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fout = new float[ARRLEN];
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for (int i = 0; i < ARRLEN; i++) {
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sinp[i] = (short)i;
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}
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for (int i = 0; i < ITERS; i++) {
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test_float16_float(fout, sinp);
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}
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// Verifying the result
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for (int i = 0; i < ARRLEN; i++) {
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Asserts.assertEquals(Float.float16ToFloat(sinp[i]), fout[i]);
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}
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for (int i = 0; i < ITERS; i++) {
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test_float16_float_strided(fout, sinp);
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}
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// Verifying the result
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for (int i = 0; i < ARRLEN/2; i++) {
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Asserts.assertEquals(Float.float16ToFloat(sinp[i*2]), fout[i*2]);
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}
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for (int i = 0; i < ITERS; i++) {
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test_float16_float_short_vector(fout, sinp);
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}
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// Verifying the result
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for (int i = 0; i < ARRLEN; i += 4) {
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Asserts.assertEquals(Float.float16ToFloat(sinp[i]), fout[i]);
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Asserts.assertEquals(Float.float16ToFloat(sinp[i + 1]), fout[i + 1]);
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}
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}
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}
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