Mercurial > hg > truffle
view graal/com.oracle.graal.replacements.amd64/src/com/oracle/graal/replacements/amd64/AMD64ConvertSnippets.java @ 14118:380984cdb29d
fixed incorrect test for null
author | Doug Simon <doug.simon@oracle.com> |
---|---|
date | Sat, 08 Mar 2014 10:05:57 +0100 |
parents | 958c99d0790c |
children | db4254246f9a |
line wrap: on
line source
/* * 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 * or visit www.oracle.com if you need additional information or have any * questions. */ package com.oracle.graal.replacements.amd64; import static com.oracle.graal.nodes.extended.BranchProbabilityNode.*; import static com.oracle.graal.replacements.SnippetTemplate.*; import com.oracle.graal.api.code.*; import com.oracle.graal.debug.*; import com.oracle.graal.nodes.*; import com.oracle.graal.nodes.calc.*; import com.oracle.graal.nodes.spi.*; import com.oracle.graal.phases.util.*; import com.oracle.graal.replacements.*; import com.oracle.graal.replacements.SnippetTemplate.AbstractTemplates; import com.oracle.graal.replacements.SnippetTemplate.Arguments; import com.oracle.graal.replacements.SnippetTemplate.SnippetInfo; /** * 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. * <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. * <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. * <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. * <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(Providers providers, TargetDescription target) { super(providers, 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.getOp()) { 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.getInput()); args.add("result", graph.unique(new AMD64FloatConvertNode(convert.stamp(), convert.getOp(), convert.getInput()))); SnippetTemplate template = template(args); Debug.log("Lowering %s in %s: node=%s, template=%s, arguments=%s", convert.getOp(), graph, convert, template, args); template.instantiate(providers.getMetaAccess(), convert, DEFAULT_REPLACER, tool, args); graph.removeFloating(convert); } } }