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#include "caffe2/core/logging.h"
#include "kl_minimization.h"
#include <fstream>
#include <iostream>
#include <sstream>
using namespace std;
using namespace dnnlowp;
int main(int argc, const char* argv[]) {
if (argc < 3) {
cerr << "Usage: " << argv[0] << " in_file out_file [preserve_sparsity]"
<< endl;
return -1;
}
ifstream in(argv[1]);
ofstream out(argv[2]);
bool preserve_sparsity = argc >= 4 ? atoi(argv[3]) : false;
string line;
while (getline(in, line)) {
istringstream ist(line);
int op_index, output_index;
string op_type, tensor_name;
float min, max;
int nbins;
ist >> op_index >> op_type >> output_index >> tensor_name >> min >> max >>
nbins;
vector<uint64_t> bins;
for (int i = 0; i < nbins; ++i) {
uint64_t cnt;
ist >> cnt;
bins.push_back(cnt);
}
assert(bins.size() == nbins);
Histogram hist = Histogram(min, max, bins);
TensorQuantizationParams qparams =
KLDivergenceMinimization().ChooseQuantizationParams(
hist, preserve_sparsity);
out << op_index << " " << op_type << " " << output_index << " "
<< tensor_name << " " << qparams.Min() << " " << qparams.Max() << endl;
}
return 0;
}
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