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Random Number Generator Refactoring (removing from Module)

This patch removes the RNG from Module. Passes should instead create a new RNG for their use as needed.

Patch by Stephen Crane @rinon.

Differential revision: http://reviews.llvm.org/D4377

llvm-svn: 224444
This commit is contained in:
JF Bastien 2014-12-17 18:12:10 +00:00
parent 17566f954b
commit c7a41915e8
4 changed files with 61 additions and 52 deletions

View File

@ -219,8 +219,6 @@ private:
std::string TargetTriple; ///< Platform target triple Module compiled on
///< Format: (arch)(sub)-(vendor)-(sys0-(abi)
void *NamedMDSymTab; ///< NamedMDNode names.
// Allow lazy initialization in const method.
mutable RandomNumberGenerator *RNG; ///< The random number generator for this module.
// We need to keep the string because the C API expects us to own the string
// representation.
@ -269,10 +267,16 @@ public:
/// @returns a string containing the module-scope inline assembly blocks.
const std::string &getModuleInlineAsm() const { return GlobalScopeAsm; }
/// Get the RandomNumberGenerator for this module. The RNG can be
/// seeded via -rng-seed=<uint64> and is salted with the ModuleID.
/// The returned RNG should not be shared across threads.
RandomNumberGenerator &getRNG() const;
/// Get a RandomNumberGenerator salted for use with this module. The
/// RNG can be seeded via -rng-seed=<uint64> and is salted with the
/// ModuleID and the provided pass salt. The returned RNG should not
/// be shared across threads or passes.
///
/// A unique RNG per pass ensures a reproducible random stream even
/// when other randomness consuming passes are added or removed. In
/// addition, the random stream will be reproducible across LLVM
/// versions when the pass does not change.
RandomNumberGenerator *createRNG(const Pass* P) const;
/// @}
/// @name Module Level Mutators

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@ -7,9 +7,9 @@
//
//===----------------------------------------------------------------------===//
//
// This file defines an abstraction for random number generation (RNG).
// Note that the current implementation is not cryptographically secure
// as it uses the C++11 <random> facilities.
// This file defines an abstraction for deterministic random number
// generation (RNG). Note that the current implementation is not
// cryptographically secure as it uses the C++11 <random> facilities.
//
//===----------------------------------------------------------------------===//
@ -24,26 +24,27 @@
namespace llvm {
/// A random number generator.
/// Instances of this class should not be shared across threads.
///
/// Instances of this class should not be shared across threads. The
/// seed should be set by passing the -rng-seed=<uint64> option. Use
/// Module::createRNG to create a new RNG instance for use with that
/// module.
class RandomNumberGenerator {
public:
/// Seeds and salts the underlying RNG engine. The salt of type StringRef
/// is passed into the constructor. The seed can be set on the command
/// line via -rng-seed=<uint64>.
/// The reason for the salt is to ensure different random streams even if
/// the same seed is used for multiple invocations of the compiler.
/// A good salt value should add additional entropy and be constant across
/// different machines (i.e., no paths) to allow for reproducible builds.
/// An instance of this class can be retrieved from the current Module.
/// \see Module::getRNG
RandomNumberGenerator(StringRef Salt);
/// Returns a random number in the range [0, Max).
uint64_t next(uint64_t Max);
uint_fast64_t operator()();
private:
/// Seeds and salts the underlying RNG engine.
///
/// This constructor should not be used directly. Instead use
/// Module::createRNG to create a new RNG salted with the Module ID.
RandomNumberGenerator(StringRef Salt);
// 64-bit Mersenne Twister by Matsumoto and Nishimura, 2000
// http://en.cppreference.com/w/cpp/numeric/random/mersenne_twister_engine
// This RNG is deterministically portable across C++11
// implementations.
std::mt19937_64 Generator;
// Noncopyable.
@ -51,6 +52,8 @@ private:
LLVM_DELETED_FUNCTION;
RandomNumberGenerator &
operator=(const RandomNumberGenerator &other) LLVM_DELETED_FUNCTION;
friend class Module;
};
}

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@ -47,7 +47,7 @@ template class llvm::SymbolTableListTraits<GlobalAlias, Module>;
//
Module::Module(StringRef MID, LLVMContext &C)
: Context(C), Materializer(), ModuleID(MID), RNG(nullptr), DL("") {
: Context(C), Materializer(), ModuleID(MID), DL("") {
ValSymTab = new ValueSymbolTable();
NamedMDSymTab = new StringMap<NamedMDNode *>();
Context.addModule(this);
@ -62,9 +62,27 @@ Module::~Module() {
NamedMDList.clear();
delete ValSymTab;
delete static_cast<StringMap<NamedMDNode *> *>(NamedMDSymTab);
delete RNG;
}
RandomNumberGenerator *Module::createRNG(const Pass* P) const {
SmallString<32> Salt(P->getPassName());
// This RNG is guaranteed to produce the same random stream only
// when the Module ID and thus the input filename is the same. This
// might be problematic if the input filename extension changes
// (e.g. from .c to .bc or .ll).
//
// We could store this salt in NamedMetadata, but this would make
// the parameter non-const. This would unfortunately make this
// interface unusable by any Machine passes, since they only have a
// const reference to their IR Module. Alternatively we can always
// store salt metadata from the Module constructor.
Salt += sys::path::filename(getModuleIdentifier());
return new RandomNumberGenerator(Salt);
}
/// getNamedValue - Return the first global value in the module with
/// the specified name, of arbitrary type. This method returns null
/// if a global with the specified name is not found.
@ -374,16 +392,6 @@ const DataLayout *Module::getDataLayout() const {
return &DL;
}
// We want reproducible builds, but ModuleID may be a full path so we just use
// the filename to salt the RNG (although it is not guaranteed to be unique).
RandomNumberGenerator &Module::getRNG() const {
if (RNG == nullptr) {
StringRef Salt = sys::path::filename(ModuleID);
RNG = new RandomNumberGenerator(Salt);
}
return *RNG;
}
//===----------------------------------------------------------------------===//
// Methods to control the materialization of GlobalValues in the Module.
//

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@ -7,16 +7,16 @@
//
//===----------------------------------------------------------------------===//
//
// This file implements random number generation (RNG).
// This file implements deterministic random number generation (RNG).
// The current implementation is NOT cryptographically secure as it uses
// the C++11 <random> facilities.
//
//===----------------------------------------------------------------------===//
#define DEBUG_TYPE "rng"
#include "llvm/Support/RandomNumberGenerator.h"
#include "llvm/Support/CommandLine.h"
#include "llvm/Support/Debug.h"
#include "llvm/Support/RandomNumberGenerator.h"
using namespace llvm;
@ -31,31 +31,25 @@ Seed("rng-seed", cl::value_desc("seed"),
RandomNumberGenerator::RandomNumberGenerator(StringRef Salt) {
DEBUG(
if (Seed == 0)
errs() << "Warning! Using unseeded random number generator.\n"
dbgs() << "Warning! Using unseeded random number generator.\n"
);
// Combine seed and salt using std::seed_seq.
// Entropy: Seed-low, Seed-high, Salt...
// Combine seed and salts using std::seed_seq.
// Data: Seed-low, Seed-high, Salt
// Note: std::seed_seq can only store 32-bit values, even though we
// are using a 64-bit RNG. This isn't a problem since the Mersenne
// twister constructor copies these correctly into its initial state.
std::vector<uint32_t> Data;
Data.reserve(2 + Salt.size()/4 + 1);
Data.reserve(2 + Salt.size());
Data.push_back(Seed);
Data.push_back(Seed >> 32);
uint32_t Pack = 0;
for (size_t I = 0; I < Salt.size(); ++I) {
Pack <<= 8;
Pack += Salt[I];
if (I%4 == 3)
Data.push_back(Pack);
}
Data.push_back(Pack);
std::copy(Salt.begin(), Salt.end(), Data.end());
std::seed_seq SeedSeq(Data.begin(), Data.end());
Generator.seed(SeedSeq);
}
uint64_t RandomNumberGenerator::next(uint64_t Max) {
std::uniform_int_distribution<uint64_t> distribution(0, Max - 1);
return distribution(Generator);
uint_fast64_t RandomNumberGenerator::operator()() {
return Generator();
}