Merge pull request #8293 from alalek:update_rng_in_parallel_for

This commit is contained in:
Vadim Pisarevsky 2017-03-02 05:51:01 +00:00
commit c7049ca627
4 changed files with 65 additions and 3 deletions

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@ -2834,6 +2834,8 @@ public:
double gaussian(double sigma);
uint64 state;
bool operator ==(const RNG& other) const;
};
/** @brief Mersenne Twister random number generator

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@ -349,6 +349,8 @@ inline int RNG::uniform(int a, int b) { return a == b ? a : (int)(next(
inline float RNG::uniform(float a, float b) { return ((float)*this)*(b - a) + a; }
inline double RNG::uniform(double a, double b) { return ((double)*this)*(b - a) + a; }
inline bool RNG::operator ==(const RNG& other) const { return state == other.state; }
inline unsigned RNG::next()
{
state = (uint64)(unsigned)state* /*CV_RNG_COEFF*/ 4164903690U + (unsigned)(state >> 32);

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@ -166,7 +166,8 @@ namespace
class ParallelLoopBodyWrapper : public cv::ParallelLoopBody
{
public:
ParallelLoopBodyWrapper(const cv::ParallelLoopBody& _body, const cv::Range& _r, double _nstripes)
ParallelLoopBodyWrapper(const cv::ParallelLoopBody& _body, const cv::Range& _r, double _nstripes) :
is_rng_used(false)
{
body = &_body;
@ -174,17 +175,30 @@ namespace
double len = wholeRange.end - wholeRange.start;
nstripes = cvRound(_nstripes <= 0 ? len : MIN(MAX(_nstripes, 1.), len));
// propagate main thread state
rng = cv::theRNG();
#ifdef ENABLE_INSTRUMENTATION
pThreadRoot = cv::instr::getInstrumentTLSStruct().pCurrentNode;
#endif
}
#ifdef ENABLE_INSTRUMENTATION
~ParallelLoopBodyWrapper()
{
#ifdef ENABLE_INSTRUMENTATION
for(size_t i = 0; i < pThreadRoot->m_childs.size(); i++)
SyncNodes(pThreadRoot->m_childs[i]);
}
#endif
if (is_rng_used)
{
// Some parallel backends execute nested jobs in the main thread,
// so we need to restore initial RNG state here.
cv::theRNG() = rng;
// We can't properly update RNG state based on RNG usage in worker threads,
// so lets just change main thread RNG state to the next value.
// Note: this behaviour is not equal to single-threaded mode.
cv::theRNG().next();
}
}
void operator()(const cv::Range& sr) const
{
#ifdef ENABLE_INSTRUMENTATION
@ -195,12 +209,18 @@ namespace
#endif
CV_INSTRUMENT_REGION()
// propagate main thread state
cv::theRNG() = rng;
cv::Range r;
r.start = (int)(wholeRange.start +
((uint64)sr.start*(wholeRange.end - wholeRange.start) + nstripes/2)/nstripes);
r.end = sr.end >= nstripes ? wholeRange.end : (int)(wholeRange.start +
((uint64)sr.end*(wholeRange.end - wholeRange.start) + nstripes/2)/nstripes);
(*body)(r);
if (!is_rng_used && !(cv::theRNG() == rng))
is_rng_used = true;
}
cv::Range stripeRange() const { return cv::Range(0, nstripes); }
@ -208,6 +228,8 @@ namespace
const cv::ParallelLoopBody* body;
cv::Range wholeRange;
int nstripes;
cv::RNG rng;
mutable bool is_rng_used;
#ifdef ENABLE_INSTRUMENTATION
cv::instr::InstrNode *pThreadRoot;
#endif

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@ -382,3 +382,39 @@ TEST(Core_Rand, Regression_Stack_Corruption)
ASSERT_EQ(param1, -9);
ASSERT_EQ(param2, 2);
}
namespace {
class RandRowFillParallelLoopBody : public cv::ParallelLoopBody
{
public:
RandRowFillParallelLoopBody(Mat& dst) : dst_(dst) {}
~RandRowFillParallelLoopBody() {}
void operator()(const cv::Range& r) const
{
cv::RNG rng = cv::theRNG(); // copy state
for (int y = r.start; y < r.end; y++)
{
cv::theRNG() = cv::RNG(rng.state + y); // seed is based on processed row
cv::randu(dst_.row(y), Scalar(-100), Scalar(100));
}
// theRNG() state is changed here (but state collision has low probability, so we don't check this)
}
protected:
Mat& dst_;
};
TEST(Core_Rand, parallel_for_stable_results)
{
cv::RNG rng = cv::theRNG(); // save rng state
Mat dst1(1000, 100, CV_8SC1);
parallel_for_(cv::Range(0, dst1.rows), RandRowFillParallelLoopBody(dst1));
cv::theRNG() = rng; // restore rng state
Mat dst2(1000, 100, CV_8SC1);
parallel_for_(cv::Range(0, dst2.rows), RandRowFillParallelLoopBody(dst2));
ASSERT_EQ(0, countNonZero(dst1 != dst2));
}
} // namespace