/*
* Copyright (c) 2013, 2015, 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 org.graalvm.compiler.phases.graph;
import org.graalvm.compiler.core.common.type.ObjectStamp;
import org.graalvm.compiler.graph.Node;
import org.graalvm.compiler.nodes.StructuredGraph;
import org.graalvm.compiler.nodes.ValueNode;
import org.graalvm.compiler.nodes.ValuePhiNode;
public class InferStamps {
Infer the stamps for all Object nodes in the graph, to make the stamps as precise as
possible. For example, this propagates the word-type through phi functions. To handle phi
functions at loop headers, the stamp inference is called until a fix point is reached.
This method can be used when it is needed that stamps are inferred before the first run of
the canonicalizer. For example, word type rewriting must run before the first run of the
canonicalizer because many nodes are not prepared to see the word type during
canonicalization.
/**
* Infer the stamps for all Object nodes in the graph, to make the stamps as precise as
* possible. For example, this propagates the word-type through phi functions. To handle phi
* functions at loop headers, the stamp inference is called until a fix point is reached.
* <p>
* This method can be used when it is needed that stamps are inferred before the first run of
* the canonicalizer. For example, word type rewriting must run before the first run of the
* canonicalizer because many nodes are not prepared to see the word type during
* canonicalization.
*/
public static void inferStamps(StructuredGraph graph) {
/*
* We want to make the stamps more precise. For cyclic phi functions, this means we have to
* ignore the initial stamp because the imprecise stamp would always propagate around the
* cycle. We therefore set the stamp to an illegal stamp, which is automatically ignored
* when the phi function performs the "meet" operator on its input stamps.
*/
for (Node n : graph.getNodes()) {
if (n instanceof ValuePhiNode) {
ValueNode node = (ValueNode) n;
if (node.stamp() instanceof ObjectStamp) {
assert node.stamp().hasValues() : "We assume all Phi and Proxy stamps are legal before the analysis";
node.setStamp(node.stamp().empty());
}
}
}
boolean stampChanged;
// The algorithm is not guaranteed to reach a stable state.
int z = 0;
do {
stampChanged = false;
/*
* We could use GraphOrder.forwardGraph() to process the nodes in a defined order and
* propagate long def-use chains in fewer iterations. However, measurements showed that
* we have few iterations anyway, and the overhead of computing the order is much higher
* than the benefit.
*/
for (Node n : graph.getNodes()) {
if (n instanceof ValueNode) {
ValueNode node = (ValueNode) n;
if (node.stamp() instanceof ObjectStamp) {
stampChanged |= node.inferStamp();
}
}
}
++z;
} while (stampChanged && z < 10000);
/*
* Check that all the illegal stamps we introduced above are correctly replaced with real
* stamps again.
*/
assert checkNoEmptyStamp(graph);
}
private static boolean checkNoEmptyStamp(StructuredGraph graph) {
for (Node n : graph.getNodes()) {
if (n instanceof ValuePhiNode) {
ValueNode node = (ValueNode) n;
assert node.stamp().hasValues() : "Stamp is empty after analysis. This is not necessarily an error, but a condition that we want to investigate (and then maybe relax or remove the assertion).";
}
}
return true;
}
}