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/*
* Copyright (c) 2022, 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 8294588
* @summary Auto-vectorize Float.floatToFloat16, Float.float16ToFloat APIs
* @requires vm.compiler2.enabled
* @requires (os.simpleArch == "x64" & (vm.cpu.features ~= ".*avx512f.*" | vm.cpu.features ~= ".*f16c.*")) | os.arch == "aarch64"
* @library /test/lib /
* @run driver compiler.vectorization.TestFloatConversionsVector
*/
package compiler.vectorization;
import compiler.lib.ir_framework.*;
import jdk.test.lib.Asserts;
public class TestFloatConversionsVector {
private static final int ARRLEN = 1024;
private static final int ITERS = 11000;
private static float [] finp;
private static short [] sout;
private static short [] sinp;
private static float [] fout;
public static void main(String args[]) {
TestFramework.runWithFlags("-XX:-TieredCompilation",
"-XX:CompileThresholdScaling=0.3");
System.out.println("PASSED");
}
@Test
@IR(counts = {IRNode.VECTOR_CAST_F2HF, IRNode.VECTOR_SIZE + "min(max_float, max_short)", "> 0"})
public void test_float_float16(short[] sout, float[] finp) {
for (int i = 0; i < finp.length; i++) {
sout[i] = Float.floatToFloat16(finp[i]);
}
}
@Run(test = {"test_float_float16"}, mode = RunMode.STANDALONE)
public void kernel_test_float_float16() {
finp = new float[ARRLEN];
sout = new short[ARRLEN];
for (int i = 0; i < ARRLEN; i++) {
finp[i] = (float) i * 1.4f;
}
for (int i = 0; i < ITERS; i++) {
test_float_float16(sout, finp);
}
// Verifying the result
for (int i = 0; i < ARRLEN; i++) {
Asserts.assertEquals(Float.floatToFloat16(finp[i]), sout[i]);
}
}
@Test
@IR(counts = {IRNode.VECTOR_CAST_HF2F, IRNode.VECTOR_SIZE + "min(max_float, max_short)", "> 0"})
public void test_float16_float(float[] fout, short[] sinp) {
for (int i = 0; i < sinp.length; i++) {
fout[i] = Float.float16ToFloat(sinp[i]);
}
}
@Run(test = {"test_float16_float"}, mode = RunMode.STANDALONE)
public void kernel_test_float16_float() {
sinp = new short[ARRLEN];
fout = new float[ARRLEN];
for (int i = 0; i < ARRLEN; i++) {
sinp[i] = (short)i;
}
for (int i = 0; i < ITERS; i++) {
test_float16_float(fout, sinp);
}
// Verifying the result
for (int i = 0; i < ARRLEN; i++) {
Asserts.assertEquals(Float.float16ToFloat(sinp[i]), fout[i]);
}
}
}
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