/* * 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]); } } @Test public void test_float_float16_strided(short[] sout, float[] finp) { for (int i = 0; i < finp.length/2; i++) { sout[i*2] = Float.floatToFloat16(finp[i*2]); } } @Run(test = {"test_float_float16", "test_float_float16_strided"}, 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]); } for (int i = 0; i < ITERS; i++) { test_float_float16_strided(sout, finp); } // Verifying the result for (int i = 0; i < ARRLEN/2; i++) { Asserts.assertEquals(Float.floatToFloat16(finp[i*2]), sout[i*2]); } } @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]); } } @Test public void test_float16_float_strided(float[] fout, short[] sinp) { for (int i = 0; i < sinp.length/2; i++) { fout[i*2] = Float.float16ToFloat(sinp[i*2]); } } @Run(test = {"test_float16_float", "test_float16_float_strided"}, 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]); } for (int i = 0; i < ITERS; i++) { test_float16_float_strided(fout, sinp); } // Verifying the result for (int i = 0; i < ARRLEN/2; i++) { Asserts.assertEquals(Float.float16ToFloat(sinp[i*2]), fout[i*2]); } } }