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/*
* Copyright 2021 WebAssembly Community Group participants
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
//
// Find struct fields that are always written to with a constant value, and
// replace gets of them with that value.
//
// For example, if we have a vtable of type T, and we always create it with one
// of the fields containing a ref.func of the same function F, and there is no
// write to that field of a different value (even using a subtype of T), then
// anywhere we see a get of that field we can place a ref.func of F.
//
// FIXME: This pass assumes a closed world. When we start to allow multi-module
// wasm GC programs we need to check for type escaping.
//
#include "ir/module-utils.h"
#include "ir/possible-constant.h"
#include "ir/struct-utils.h"
#include "ir/utils.h"
#include "pass.h"
#include "wasm-builder.h"
#include "wasm-traversal.h"
#include "wasm.h"
namespace wasm {
namespace {
using PCVStructValuesMap = StructUtils::StructValuesMap<PossibleConstantValues>;
using PCVFunctionStructValuesMap =
StructUtils::FunctionStructValuesMap<PossibleConstantValues>;
// Optimize struct gets based on what we've learned about writes.
//
// TODO Aside from writes, we could use information like whether any struct of
// this type has even been created (to handle the case of struct.sets but
// no struct.news).
struct FunctionOptimizer : public WalkerPass<PostWalker<FunctionOptimizer>> {
bool isFunctionParallel() override { return true; }
Pass* create() override { return new FunctionOptimizer(infos); }
FunctionOptimizer(PCVStructValuesMap& infos) : infos(infos) {}
void visitStructGet(StructGet* curr) {
auto type = curr->ref->type;
if (type == Type::unreachable) {
return;
}
Builder builder(*getModule());
// Find the info for this field, and see if we can optimize. First, see if
// there is any information for this heap type at all. If there isn't, it is
// as if nothing was ever noted for that field.
PossibleConstantValues info;
assert(!info.hasNoted());
auto iter = infos.find(type.getHeapType());
if (iter != infos.end()) {
// There is information on this type, fetch it.
info = iter->second[curr->index];
}
if (!info.hasNoted()) {
// This field is never written at all. That means that we do not even
// construct any data of this type, and so it is a logic error to reach
// this location in the code. (Unless we are in an open-world
// situation, which we assume we are not in.) Replace this get with a
// trap. Note that we do not need to care about the nullability of the
// reference, as if it should have trapped, we are replacing it with
// another trap, which we allow to reorder (but we do need to care about
// side effects in the reference, so keep it around).
replaceCurrent(builder.makeSequence(builder.makeDrop(curr->ref),
builder.makeUnreachable()));
changed = true;
return;
}
// If the value is not a constant, then it is unknown and we must give up.
if (!info.isConstant()) {
return;
}
// We can do this! Replace the get with a trap on a null reference using a
// ref.as_non_null (we need to trap as the get would have done so), plus the
// constant value. (Leave it to further optimizations to get rid of the
// ref.)
Expression* value = info.makeExpression(*getModule());
replaceCurrent(builder.makeSequence(
builder.makeDrop(builder.makeRefAs(RefAsNonNull, curr->ref)), value));
changed = true;
}
void doWalkFunction(Function* func) {
WalkerPass<PostWalker<FunctionOptimizer>>::doWalkFunction(func);
// If we changed anything, we need to update parent types as types may have
// changed.
if (changed) {
ReFinalize().walkFunctionInModule(func, getModule());
}
}
private:
PCVStructValuesMap& infos;
bool changed = false;
};
struct PCVScanner
: public StructUtils::StructScanner<PossibleConstantValues, PCVScanner> {
Pass* create() override {
return new PCVScanner(functionNewInfos, functionSetGetInfos);
}
PCVScanner(StructUtils::FunctionStructValuesMap<PossibleConstantValues>&
functionNewInfos,
StructUtils::FunctionStructValuesMap<PossibleConstantValues>&
functionSetInfos)
: StructUtils::StructScanner<PossibleConstantValues, PCVScanner>(
functionNewInfos, functionSetInfos) {}
void noteExpression(Expression* expr,
HeapType type,
Index index,
PossibleConstantValues& info) {
info.note(expr, *getModule());
}
void noteDefault(Type fieldType,
HeapType type,
Index index,
PossibleConstantValues& info) {
info.note(Literal::makeZero(fieldType));
}
void noteCopy(HeapType type, Index index, PossibleConstantValues& info) {
// Ignore copies: when we set a value to a field from that same field, no
// new values are actually introduced.
//
// Note that this is only sound by virtue of the overall analysis in this
// pass: the object read from may be of a subclass, and so subclass values
// may be actually written here. But as our analysis considers subclass
// values too (as it must) then that is safe. That is, if a subclass of $A
// adds a value X that can be loaded from (struct.get $A $b), then consider
// a copy
//
// (struct.set $A $b (struct.get $A $b))
//
// Our analysis will figure out that X can appear in that copy's get, and so
// the copy itself does not add any information about values.
//
// TODO: This may be extensible to a copy from a subtype by the above
// analysis (but this is already entering the realm of diminishing
// returns).
}
void noteRead(HeapType type, Index index, PossibleConstantValues& info) {
// Reads do not interest us.
}
};
struct ConstantFieldPropagation : public Pass {
void run(PassRunner* runner, Module* module) override {
if (getTypeSystem() != TypeSystem::Nominal) {
Fatal() << "ConstantFieldPropagation requires nominal typing";
}
// Find and analyze all writes inside each function.
PCVFunctionStructValuesMap functionNewInfos(*module),
functionSetInfos(*module);
PCVScanner scanner(functionNewInfos, functionSetInfos);
scanner.run(runner, module);
scanner.runOnModuleCode(runner, module);
// Combine the data from the functions.
PCVStructValuesMap combinedNewInfos, combinedSetInfos;
functionNewInfos.combineInto(combinedNewInfos);
functionSetInfos.combineInto(combinedSetInfos);
// Handle subtyping. |combinedInfo| so far contains data that represents
// each struct.new and struct.set's operation on the struct type used in
// that instruction. That is, if we do a struct.set to type T, the value was
// noted for type T. But our actual goal is to answer questions about
// struct.gets. Specifically, when later we see:
//
// (struct.get $A x (REF-1))
//
// Then we want to be aware of all the relevant struct.sets, that is, the
// sets that can write data that this get reads. Given a set
//
// (struct.set $B x (REF-2) (..value..))
//
// then
//
// 1. If $B is a subtype of $A, it is relevant: the get might read from a
// struct of type $B (i.e., REF-1 and REF-2 might be identical, and both
// be a struct of type $B).
// 2. If $B is a supertype of $A that still has the field x then it may
// also be relevant: since $A is a subtype of $B, the set may write to a
// struct of type $A (and again, REF-1 and REF-2 may be identical).
//
// Thus, if either $A <: $B or $B <: $A then we must consider the get and
// set to be relevant to each other. To make our later lookups for gets
// efficient, we therefore propagate information about the possible values
// in each field to both subtypes and supertypes.
//
// struct.new on the other hand knows exactly what type is being written to,
// and so given a get of $A and a new of $B, the new is relevant for the get
// iff $A is a subtype of $B, so we only need to propagate in one direction
// there, to supertypes.
StructUtils::TypeHierarchyPropagator<PossibleConstantValues> propagator(
*module);
propagator.propagateToSuperTypes(combinedNewInfos);
propagator.propagateToSuperAndSubTypes(combinedSetInfos);
// Combine both sources of information to the final information that gets
// care about.
PCVStructValuesMap combinedInfos = std::move(combinedNewInfos);
combinedSetInfos.combineInto(combinedInfos);
// Optimize.
// TODO: Skip this if we cannot optimize anything
FunctionOptimizer(combinedInfos).run(runner, module);
// TODO: Actually remove the field from the type, where possible? That might
// be best in another pass.
}
};
} // anonymous namespace
Pass* createConstantFieldPropagationPass() {
return new ConstantFieldPropagation();
}
} // namespace wasm
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