doxygen-c/html/kl__minimization_8h_source.html

 #pragma once

 #include "quantization_error_minimization.h"

 namespace dnnlowp {

 class KLDivergenceMinimization final : public QuantizationErrorMinimization {
  public:
   TensorQuantizationParams ChooseQuantizationParams(
       const Histogram& hist,
       bool preserve_sparsity = false,
       int precision = 8) override;
 };

 } // namespace dnnlowp
dnnlowp
Definition: caffe2_dnnlowp_utils.cc:21

dnnlowp::QuantizationErrorMinimization
Definition: quantization_error_minimization.h:7

dnnlowp::KLDivergenceMinimization
A quantization scheme that minimizes Kullback-Leiber divergence.
Definition: kl_minimization.h:10

dnnlowp::Histogram
bin_width = (max - min)/nbins ith bin (zero-based indexing) contains [i*bin_width, (i+1)*bin_width) with an exception that (nbins - 1)th bin contains [(nbins-1)*bin_width, nbins*bin_width]
Definition: dynamic_histogram.h:17