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https://github.com/saymrwulf/pytorch.git
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Summary: Add an API to collect output_col_minmax_histogram. This is used to implement input_equalization. Roll back revised the collect_single_histogram in the new version to make sure it does not affect the product. The newly added one can implement collect the activation histogram and output col max histogram at the same time. Test Plan: Add a unit test, and pass it. https://our.intern.facebook.com/intern/testinfra/testrun/2251799847601374 After updating the dump API, it passed the updated unit test https://our.intern.facebook.com/intern/testinfra/testrun/844425097716401 Integrated the output_col_minmax_histogram to the collect single histogram, and make it downward compatible https://our.intern.facebook.com/intern/testinfra/testrun/8162774342207893 I added different cases to tested newly added function. It passed the unit test https://our.intern.facebook.com/intern/testinfra/testrun/4503599658969000 Tested after new revision: https://our.intern.facebook.com/intern/testinfra/testrun/5348024589078557 Reviewed By: hx89 Differential Revision: D22919913 fbshipit-source-id: c9cb05e0cf14af0dfde3d22921abb42f97a61df2
237 lines
6.5 KiB
C++
237 lines
6.5 KiB
C++
#pragma once
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#include "caffe2/core/observer.h"
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#include "caffe2/core/operator.h"
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#include "caffe2/quantization/server/dnnlowp.h"
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#include "caffe2/quantization/server/dynamic_histogram.h"
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#include <memory>
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#include <set>
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#include <vector>
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namespace caffe2 {
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class OutputMinMaxObserver final : public ObserverBase<OperatorBase> {
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public:
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explicit OutputMinMaxObserver(OperatorBase* op);
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~OutputMinMaxObserver();
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struct TensorInfo {
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explicit TensorInfo(const std::string& name)
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: min(std::numeric_limits<float>::max()),
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max(std::numeric_limits<float>::lowest()),
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total_min(std::numeric_limits<float>::max()),
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total_max(std::numeric_limits<float>::lowest()),
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name(name) {}
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void Update(float cur_min, float cur_max) {
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min = std::min(min, cur_min);
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max = std::max(max, cur_max);
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total_min = std::min(total_min, cur_min);
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total_max = std::max(total_max, cur_max);
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}
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float min, max;
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float total_min, total_max;
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std::string name;
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};
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struct OperatorInfo {
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std::vector<TensorInfo> tensor_infos;
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std::string type;
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};
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// OutputMinMaxObserver is assumed to be used together with
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// OutputMinMaxNetObserver and the information shared via shared_ptr to be
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// prepared for the case when OutputMinMaxObserver is destroyed before
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// OutputMinMaxNetObserver
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std::shared_ptr<OperatorInfo> GetInfo() {
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return info_;
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}
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private:
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void Stop() override;
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std::shared_ptr<OperatorInfo> info_;
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bool warning_printed_ = false;
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}; // class OutputMinMaxObserver
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class OutputMinMaxNetObserver final : public NetObserver {
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public:
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/// @params dump_freq Print out only once in destructor if -1.
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// Otherwise, print out every dum_freq invocations
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explicit OutputMinMaxNetObserver(
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NetBase* subject,
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const std::string& out_file_name,
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int dump_freq = -1,
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string delimiter = " ");
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~OutputMinMaxNetObserver();
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private:
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void Stop() override;
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void DumpAndReset_(
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const std::string& out_file_name,
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bool print_total_min_max = false);
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int dump_freq_, cnt_;
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const std::string out_file_name_;
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std::string delimiter_;
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std::vector<std::shared_ptr<OutputMinMaxObserver::OperatorInfo>>
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min_max_infos_;
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};
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/**
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* Given min/max, collect histogram
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*/
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class HistogramObserver final : public ObserverBase<OperatorBase> {
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public:
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struct Info {
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std::vector<dnnlowp::DynamicHistogram> histograms;
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std::vector<dnnlowp::DynamicHistogram> total_histograms;
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OutputMinMaxObserver::OperatorInfo min_max_info;
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};
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explicit HistogramObserver(OperatorBase* op, std::shared_ptr<Info> info);
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private:
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void Stop() override;
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std::shared_ptr<Info> info_;
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bool warning_printed_ = false;
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}; // class HistogramObserver
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/**
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* Given min/max, collect histogram of the max value of each column of tensor
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*/
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class OutputColumnMaxHistogramObserver final
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: public ObserverBase<OperatorBase> {
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public:
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explicit OutputColumnMaxHistogramObserver(
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OperatorBase* op,
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const std::string& col_max_blob_name,
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int nbins,
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std::shared_ptr<HistogramObserver::Info> info);
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private:
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void Stop() override;
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std::string col_max_blob_name_;
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int nbins_;
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std::shared_ptr<HistogramObserver::Info> info_;
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bool warning_printed_ = false;
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int col_max_blob_idx_ = -1;
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int num_columns_ = -1;
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}; // class OutputColumnMaxHistogramObserver
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class HistogramNetObserver final : public NetObserver {
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public:
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/**
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* @params mul_nets true if we expect multiple nets with the same name so
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* we include extra information in the file name to
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* distinghuish them
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* @params dump_freq if not -1 we dump histogram every dump_freq invocation
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* of the net
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*/
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explicit HistogramNetObserver(
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NetBase* subject,
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const std::string& out_file_name,
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int nbins,
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int dump_freq = -1,
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bool mul_nets = false,
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string op_filter = "",
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string delimiter = " ");
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~HistogramNetObserver();
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void DumpHistogramFile() {
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DumpAndReset_(out_file_name_, false);
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}
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private:
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void Stop() override;
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void DumpAndReset_(
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const std::string& out_file_name,
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bool print_total_min_max = false);
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int dump_freq_, cnt_;
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/** If multiple nets exist and are attached with the observers, the histogram
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* files for the nets will be appended with netbase addresses.
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*/
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bool mul_nets_;
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string net_name_;
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string op_filter_;
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string delimiter_;
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const std::string out_file_name_;
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std::vector<std::shared_ptr<HistogramObserver::Info>> hist_infos_;
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};
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class OutputColumnMaxHistogramNetObserver final : public NetObserver {
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public:
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explicit OutputColumnMaxHistogramNetObserver(
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NetBase* subject,
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const std::string& out_file_name,
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const std::vector<std::string>& observe_column_max_for_blobs,
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int nbins,
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int dump_freq = -1,
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bool mul_nets = false,
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string delimiter = " ");
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~OutputColumnMaxHistogramNetObserver();
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void DumpOutputColumnMaxHistogramFile() {
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DumpAndReset_(out_file_name_, false);
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}
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private:
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void Stop() override;
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void DumpAndReset_(
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const std::string& out_file_name,
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bool print_total_min_max = false);
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int dump_freq_, cnt_;
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bool mul_nets_;
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const std::string out_file_name_;
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std::string delimiter_;
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std::unordered_set<std::string> col_max_blob_names_;
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// {op_idx: {output_index: col_hists}}
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std::unordered_map<
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int,
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std::unordered_map<int, std::shared_ptr<HistogramObserver::Info>>>
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hist_infos_;
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};
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/**
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* Set quantization parameters of operators based on min/max
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* collected from OutputMinMaxObserver
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*/
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class RegisterQuantizationParamsNetObserver final : public NetObserver {
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public:
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explicit RegisterQuantizationParamsNetObserver(
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NetBase* subject,
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const std::string& min_max_file_name,
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bool is_weight = false,
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const std::string& qparams_output_file_name = "");
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};
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/**
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* Set quantization parameters of operators based on min/max
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* collected from OutputMinMaxObserver
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*/
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class RegisterQuantizationParamsWithHistogramNetObserver final
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: public NetObserver {
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public:
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explicit RegisterQuantizationParamsWithHistogramNetObserver(
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NetBase* subject,
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const std::string& histogram_file_name,
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bool is_weight = false,
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const std::string& qparams_output_file_name = "");
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};
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#ifdef _MSC_VER
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struct tm* localtime_r(time_t* _clock, struct tm* _result) {
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struct tm* candidate_result = localtime(_clock);
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if (candidate_result) {
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*(_result) = *candidate_result;
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}
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return candidate_result;
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}
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#endif
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} // namespace caffe2
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