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#include "dynamic_histogram.h"
#include "dnnlowp_op.h"
#include <cassert>
#include <cmath>
#include <limits>
namespace dnnlowp {
using namespace std;
void Histogram::Add(float f, uint64_t cnt) {
int nbins = histogram_.size();
// NOLINTNEXTLINE(bugprone-narrowing-conversions,cppcoreguidelines-narrowing-conversions)
float bin_width = (max_ - min_) / nbins;
int bin = bin_width == 0
? 0
: std::min(static_cast<int>((f - min_) / bin_width), nbins - 1);
bin = std::max(0, bin);
assert(bin >= 0);
histogram_[bin] += cnt;
}
void Histogram::Add(const float* f, int len) {
int nbins = histogram_.size();
// NOLINTNEXTLINE(bugprone-narrowing-conversions,cppcoreguidelines-narrowing-conversions)
float bin_width = (max_ - min_) / nbins;
if (bin_width > 0.0) {
uint64_t* my_histogram = nullptr;
my_histogram = histogram_.data();
for (auto i = 0; i < len; ++i) {
int bin =
std::min(static_cast<int>((f[i] - min_) / bin_width), nbins - 1);
bin = std::max(0, bin);
++my_histogram[bin];
}
} else {
histogram_[0] += len;
}
}
void RemapHistograms(Histogram& src_hist, Histogram& dst_hist) {
auto src_bins = *(src_hist.GetHistogram());
float src_bin_width = (src_hist.Max() - src_hist.Min()) / src_bins.size();
float dst_bin_width =
(dst_hist.Max() - dst_hist.Min()) / dst_hist.GetHistogram()->size();
// NOLINTNEXTLINE(clang-diagnostic-sign-compare)
for (int i = 0; i < src_bins.size(); ++i) {
if (src_bins[i] == 0) {
continue;
}
// NOLINTNEXTLINE(bugprone-narrowing-conversions,cppcoreguidelines-narrowing-conversions)
float src_bin_begin = src_hist.Min() + src_bin_width * i;
float src_bin_end = src_bin_begin + src_bin_width;
// dst_bin corresponds to the beginning of the src_bin
// dst_bin2 corresponds to the end of the src_bin
int dst_bin = dst_bin_width == 0
? 0
// NOLINTNEXTLINE(bugprone-narrowing-conversions,cppcoreguidelines-narrowing-conversions)
: (src_bin_begin - dst_hist.Min()) / dst_bin_width;
// NOLINTNEXTLINE(bugprone-narrowing-conversions,cppcoreguidelines-narrowing-conversions)
float dst_bin_begin = dst_hist.Min() + dst_bin_width * dst_bin;
float dst_bin_end = dst_bin_begin + dst_bin_width;
int dst_bin2 =
// NOLINTNEXTLINE(bugprone-narrowing-conversions,cppcoreguidelines-narrowing-conversions)
dst_bin_width == 0 ? 0 : (src_bin_end - dst_hist.Min()) / dst_bin_width;
// 1 src_bin is mapped to at most 2 dst bin
assert(dst_bin2 <= dst_bin + 2);
(void)dst_bin2;
// dst_bin_cnt is the count from src_bin that should go to dst_bin
// The remainder should go to dst_bin2
// rint is the fastest way to round
// (https://stackoverflow.com/questions/485525/round-for-float-in-c/5849630)
uint64_t dst_bin_cnt = (src_bin_width == 0 || dst_bin_width == 0)
? src_bins[i]
: std::min(
static_cast<uint64_t>(rint(
(dst_bin_end - src_bin_begin) / src_bin_width * src_bins[i])),
src_bins[i]);
dst_hist.Add(dst_bin_begin + dst_bin_width / 2, dst_bin_cnt);
if (dst_bin_cnt < src_bins[i]) {
dst_hist.Add(dst_bin_end + dst_bin_width / 2, src_bins[i] - dst_bin_cnt);
}
}
}
static const int OVER_BINNING_FACTOR = 4;
DynamicHistogram::DynamicHistogram(int nbins)
: nbins_(nbins),
min_(numeric_limits<float>::max()),
max_(numeric_limits<float>::lowest()) {
assert(nbins_ > 0);
}
void DynamicHistogram::Add(float f) {
min_ = std::min(min_, f);
max_ = std::max(max_, f);
if (histogram_ == nullptr) {
histogram_ =
std::make_unique<Histogram>(nbins_ * OVER_BINNING_FACTOR, min_, max_);
histogram_->Add(f);
return;
}
Histogram curr_hist = *histogram_;
float new_min = curr_hist.Min(), new_max = curr_hist.Max();
if (f < curr_hist.Min() || f > curr_hist.Max()) {
float old_spread = curr_hist.Max() - curr_hist.Min();
if (f < curr_hist.Min()) {
if (old_spread == 0) {
new_min = f;
} else {
new_min = curr_hist.Min() -
ceil((curr_hist.Min() - f) / old_spread) * old_spread;
}
} else {
if (old_spread == 0) {
new_max = f;
} else {
new_max = curr_hist.Max() +
ceil((f - curr_hist.Max()) / old_spread) * old_spread;
}
}
new_min = std::max(numeric_limits<float>::lowest(), new_min);
new_max = std::min(numeric_limits<float>::max(), new_max);
// NOLINTNEXTLINE(modernize-make-unique)
histogram_.reset(
new Histogram(curr_hist.GetHistogram()->size(), new_min, new_max));
RemapHistograms(curr_hist, *histogram_);
}
histogram_->Add(f);
}
void DynamicHistogram::Add(const float* f, int len) {
float minimum = min_, maximum = max_;
for (int i = 0; i < len; ++i) {
minimum = std::min(f[i], minimum);
maximum = std::max(f[i], maximum);
}
min_ = std::max(numeric_limits<float>::lowest(), minimum);
max_ = std::min(numeric_limits<float>::max(), maximum);
if (histogram_ == nullptr) {
histogram_ =
std::make_unique<Histogram>(nbins_ * OVER_BINNING_FACTOR, min_, max_);
histogram_->Add(f, len);
return;
}
Histogram curr_hist = *histogram_;
float new_min = curr_hist.Min(), new_max = curr_hist.Max();
if (min_ < curr_hist.Min() || max_ > curr_hist.Max()) {
float old_spread = curr_hist.Max() - curr_hist.Min();
if (min_ < curr_hist.Min()) {
if (old_spread == 0.0f) {
new_min = min_;
} else {
new_min = curr_hist.Min() -
ceil((curr_hist.Min() - min_) / old_spread) * old_spread;
}
}
if (max_ > curr_hist.Max()) {
old_spread = curr_hist.Max() - new_min;
if (old_spread == 0.0f) {
new_max = max_;
} else {
new_max = curr_hist.Max() +
ceil((max_ - curr_hist.Max()) / old_spread) * old_spread;
}
}
new_min = std::max(numeric_limits<float>::lowest(), new_min);
new_max = std::min(numeric_limits<float>::max(), new_max);
// NOLINTNEXTLINE(modernize-make-unique)
histogram_.reset(
new Histogram(curr_hist.GetHistogram()->size(), new_min, new_max));
RemapHistograms(curr_hist, *histogram_);
}
histogram_->Add(f, len);
}
const Histogram* DynamicHistogram::Finalize() {
if (final_histogram_.get()) {
return final_histogram_.get();
}
// NOLINTNEXTLINE(modernize-make-unique)
final_histogram_.reset(new Histogram(nbins_, min_, max_));
if (histogram_.get()) {
RemapHistograms(*histogram_, *final_histogram_);
}
return final_histogram_.get();
}
} // namespace dnnlowp
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