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8294588: Auto vectorize half precision floating point conversion APIs
Reviewed-by: sviswanathan, kvn, jbhateja, fgao, xgong
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95
test/hotspot/jtreg/compiler/vectorization/TestFloatConversionsVector.java
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/* | ||
* Copyright (c) 2022, 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. | ||
*/ | ||
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/** | ||
* @test | ||
* @bug 8294588 | ||
* @summary Auto-vectorize Float.floatToFloat16, Float.float16ToFloat APIs | ||
* @requires vm.compiler2.enabled | ||
* @requires os.simpleArch == "x64" | ||
* @library /test/lib / | ||
* @run driver compiler.vectorization.TestFloatConversionsVector | ||
*/ | ||
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package compiler.vectorization; | ||
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import compiler.lib.ir_framework.*; | ||
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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; | ||
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public static void main(String args[]) { | ||
TestFramework.runWithFlags("-XX:-TieredCompilation", | ||
"-XX:CompileThresholdScaling=0.3"); | ||
System.out.println("PASSED"); | ||
} | ||
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@Test | ||
@IR(counts = {IRNode.VECTOR_CAST_F2HF, "> 0"}, applyIfCPUFeatureOr = {"avx512f", "true", "f16c", "true"}) | ||
public void test_float_float16(short[] sout, float[] finp) { | ||
for (int i = 0; i < finp.length; i++) { | ||
sout[i] = Float.floatToFloat16(finp[i]); | ||
} | ||
} | ||
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@Run(test = {"test_float_float16"}, mode = RunMode.STANDALONE) | ||
public void kernel_test_float_float16() { | ||
finp = new float[ARRLEN]; | ||
sout = new short[ARRLEN]; | ||
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for (int i = 0; i < ARRLEN; i++) { | ||
finp[i] = (float) i * 1.4f; | ||
} | ||
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for (int i = 0; i < ITERS; i++) { | ||
test_float_float16(sout, finp); | ||
} | ||
} | ||
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@Test | ||
@IR(counts = {IRNode.VECTOR_CAST_HF2F, "> 0"}, applyIfCPUFeatureOr = {"avx512f", "true", "f16c", "true"}) | ||
public void test_float16_float(float[] fout, short[] sinp) { | ||
for (int i = 0; i < sinp.length; i++) { | ||
fout[i] = Float.float16ToFloat(sinp[i]); | ||
} | ||
} | ||
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@Run(test = {"test_float16_float"}, mode = RunMode.STANDALONE) | ||
public void kernel_test_float16_float() { | ||
sinp = new short[ARRLEN]; | ||
fout = new float[ARRLEN]; | ||
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for (int i = 0; i < ARRLEN; i++) { | ||
sinp[i] = (short)i; | ||
} | ||
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for (int i = 0; i < ITERS; i++) { | ||
test_float16_float(fout , sinp); | ||
} | ||
} | ||
} |