/*
* Copyright (c) 2013, 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
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package org.graalvm.compiler.replacements.amd64;
import static org.graalvm.compiler.nodes.extended.BranchProbabilityNode.SLOW_PATH_PROBABILITY;
import static org.graalvm.compiler.nodes.extended.BranchProbabilityNode.probability;
import static org.graalvm.compiler.replacements.SnippetTemplate.DEFAULT_REPLACER;
import org.graalvm.compiler.api.replacements.Snippet;
import org.graalvm.compiler.api.replacements.SnippetReflectionProvider;
import org.graalvm.compiler.debug.DebugHandlersFactory;
import org.graalvm.compiler.nodes.StructuredGraph;
import org.graalvm.compiler.nodes.calc.FloatConvertNode;
import org.graalvm.compiler.nodes.spi.LoweringTool;
import org.graalvm.compiler.options.OptionValues;
import org.graalvm.compiler.phases.util.Providers;
import org.graalvm.compiler.replacements.SnippetTemplate;
import org.graalvm.compiler.replacements.SnippetTemplate.AbstractTemplates;
import org.graalvm.compiler.replacements.SnippetTemplate.Arguments;
import org.graalvm.compiler.replacements.SnippetTemplate.SnippetInfo;
import org.graalvm.compiler.replacements.Snippets;
import jdk.vm.ci.code.TargetDescription;
Snippets used for conversion operations on AMD64 where the AMD64 instruction used does not match
the semantics of the JVM specification.
/**
* Snippets used for conversion operations on AMD64 where the AMD64 instruction used does not match
* the semantics of the JVM specification.
*/
public class AMD64ConvertSnippets implements Snippets {
Converts a float to an int.
This snippet accounts for the semantics of the x64 CVTTSS2SI instruction used to do the conversion. If the float value is a NaN, infinity or if the result of the conversion is larger than Integer.MAX_VALUE
then CVTTSS2SI returns Integer.MIN_VALUE
and extra tests are required on the float value to return the correct int value.
Params: - input – the float being converted
- result – the result produced by the CVTTSS2SI instruction
/**
* Converts a float to an int.
* <p>
* This snippet accounts for the semantics of the x64 CVTTSS2SI instruction used to do the
* conversion. If the float value is a NaN, infinity or if the result of the conversion is
* larger than {@link Integer#MAX_VALUE} then CVTTSS2SI returns {@link Integer#MIN_VALUE} and
* extra tests are required on the float value to return the correct int value.
*
* @param input the float being converted
* @param result the result produced by the CVTTSS2SI instruction
*/
@Snippet
public static int f2i(float input, int result) {
if (probability(SLOW_PATH_PROBABILITY, result == Integer.MIN_VALUE)) {
if (Float.isNaN(input)) {
// input is NaN -> return 0
return 0;
} else if (input > 0.0f) {
// input is > 0 -> return max int
return Integer.MAX_VALUE;
}
}
return result;
}
Converts a float to a long.
This snippet accounts for the semantics of the x64 CVTTSS2SI instruction used to do the conversion. If the float value is a NaN or infinity then CVTTSS2SI returns Long.MIN_VALUE
and extra tests are required on the float value to return the correct long value.
Params: - input – the float being converted
- result – the result produced by the CVTTSS2SI instruction
/**
* Converts a float to a long.
* <p>
* This snippet accounts for the semantics of the x64 CVTTSS2SI instruction used to do the
* conversion. If the float value is a NaN or infinity then CVTTSS2SI returns
* {@link Long#MIN_VALUE} and extra tests are required on the float value to return the correct
* long value.
*
* @param input the float being converted
* @param result the result produced by the CVTTSS2SI instruction
*/
@Snippet
public static long f2l(float input, long result) {
if (probability(SLOW_PATH_PROBABILITY, result == Long.MIN_VALUE)) {
if (Float.isNaN(input)) {
// input is NaN -> return 0
return 0;
} else if (input > 0.0f) {
// input is > 0 -> return max int
return Long.MAX_VALUE;
}
}
return result;
}
Converts a double to an int.
This snippet accounts for the semantics of the x64 CVTTSD2SI instruction used to do the conversion. If the double value is a NaN, infinity or if the result of the conversion is larger than Integer.MAX_VALUE
then CVTTSD2SI returns Integer.MIN_VALUE
and extra tests are required on the double value to return the correct int value.
Params: - input – the double being converted
- result – the result produced by the CVTTSS2SI instruction
/**
* Converts a double to an int.
* <p>
* This snippet accounts for the semantics of the x64 CVTTSD2SI instruction used to do the
* conversion. If the double value is a NaN, infinity or if the result of the conversion is
* larger than {@link Integer#MAX_VALUE} then CVTTSD2SI returns {@link Integer#MIN_VALUE} and
* extra tests are required on the double value to return the correct int value.
*
* @param input the double being converted
* @param result the result produced by the CVTTSS2SI instruction
*/
@Snippet
public static int d2i(double input, int result) {
if (probability(SLOW_PATH_PROBABILITY, result == Integer.MIN_VALUE)) {
if (Double.isNaN(input)) {
// input is NaN -> return 0
return 0;
} else if (input > 0.0d) {
// input is positive -> return maxInt
return Integer.MAX_VALUE;
}
}
return result;
}
Converts a double to a long.
This snippet accounts for the semantics of the x64 CVTTSD2SI instruction used to do the conversion. If the double value is a NaN, infinity or if the result of the conversion is larger than Long.MAX_VALUE
then CVTTSD2SI returns Long.MIN_VALUE
and extra tests are required on the double value to return the correct long value.
Params: - input – the double being converted
- result – the result produced by the CVTTSS2SI instruction
/**
* Converts a double to a long.
* <p>
* This snippet accounts for the semantics of the x64 CVTTSD2SI instruction used to do the
* conversion. If the double value is a NaN, infinity or if the result of the conversion is
* larger than {@link Long#MAX_VALUE} then CVTTSD2SI returns {@link Long#MIN_VALUE} and extra
* tests are required on the double value to return the correct long value.
*
* @param input the double being converted
* @param result the result produced by the CVTTSS2SI instruction
*/
@Snippet
public static long d2l(double input, long result) {
if (probability(SLOW_PATH_PROBABILITY, result == Long.MIN_VALUE)) {
if (Double.isNaN(input)) {
// input is NaN -> return 0
return 0;
} else if (input > 0.0d) {
// input is positive -> return maxInt
return Long.MAX_VALUE;
}
}
return result;
}
public static class Templates extends AbstractTemplates {
private final SnippetInfo f2i;
private final SnippetInfo f2l;
private final SnippetInfo d2i;
private final SnippetInfo d2l;
public Templates(OptionValues options, Iterable<DebugHandlersFactory> factories, Providers providers, SnippetReflectionProvider snippetReflection, TargetDescription target) {
super(options, factories, providers, snippetReflection, target);
f2i = snippet(AMD64ConvertSnippets.class, "f2i");
f2l = snippet(AMD64ConvertSnippets.class, "f2l");
d2i = snippet(AMD64ConvertSnippets.class, "d2i");
d2l = snippet(AMD64ConvertSnippets.class, "d2l");
}
public void lower(FloatConvertNode convert, LoweringTool tool) {
SnippetInfo key;
switch (convert.getFloatConvert()) {
case F2I:
key = f2i;
break;
case F2L:
key = f2l;
break;
case D2I:
key = d2i;
break;
case D2L:
key = d2l;
break;
default:
return;
}
StructuredGraph graph = convert.graph();
Arguments args = new Arguments(key, graph.getGuardsStage(), tool.getLoweringStage());
args.add("input", convert.getValue());
args.add("result", graph.unique(new AMD64FloatConvertNode(convert.getFloatConvert(), convert.getValue())));
SnippetTemplate template = template(convert.getDebug(), args);
convert.getDebug().log("Lowering %s in %s: node=%s, template=%s, arguments=%s", convert.getFloatConvert(), graph, convert, template, args);
template.instantiate(providers.getMetaAccess(), convert, DEFAULT_REPLACER, tool, args);
convert.safeDelete();
}
}
}