EVOLUTION-MANAGER

Edit File: stat_summarizer.h

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
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See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#ifndef TENSORFLOW_CORE_UTIL_STAT_SUMMARIZER_H_
#define TENSORFLOW_CORE_UTIL_STAT_SUMMARIZER_H_

#include <stdlib.h>

#include <cmath>
#include <limits>
#include <map>
#include <memory>
#include <sstream>
#include <string>

#include "tensorflow/core/framework/tensor.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/platform/types.h"
#include "tensorflow/core/util/stat_summarizer_options.h"
#include "tensorflow/core/util/stats_calculator.h"

namespace tensorflow {

class GraphDef;
class StepStats;
class NodeExecStats;

// A StatSummarizer assists in performance analysis of Graph executions.
//
// It summarizes time spent executing (on GPU/CPU), memory used etc. across
// multiple executions of a single Graph from the StepStats collected during
// graph execution.
//
// See tensorflow/tools/benchmark/benchmark_model.cc for an example usage.
class StatSummarizer {
 public:
  explicit StatSummarizer(const StatSummarizerOptions& options);

// Deprecated: Use StatSummarizer(const StatSummarizerOptions&) instead. The
  // GraphDef is not needed by the StatSummarizer.
  explicit StatSummarizer(const tensorflow::GraphDef& tensorflow_graph);

~StatSummarizer();

// Adds another run's StepStats output to the aggregate counts.
  void ProcessStepStats(const StepStats& step_stats);

// Returns a string detailing the accumulated runtime stats in a tab-separated
  // format which can be pasted into a spreadsheet for further analysis.
  std::string GetOutputString() const {
    return stats_calculator_->GetOutputString();
  }

std::string ShortSummary() const {
    return stats_calculator_->GetShortSummary();
  }

// Prints the string returned by GetOutputString().
  void PrintStepStats() const;

// Prints the output tensor sizes and types for each node.
  void PrintOutputs() const;

void ComputeStatsByType(
      std::map<std::string, int64_t>* node_type_map_count,
      std::map<std::string, int64_t>* node_type_map_time,
      std::map<std::string, int64_t>* node_type_map_memory,
      std::map<std::string, int64_t>* node_type_map_times_called,
      int64_t* accumulated_us) const {
    stats_calculator_->ComputeStatsByType(
        node_type_map_count, node_type_map_time, node_type_map_memory,
        node_type_map_times_called, accumulated_us);
  }

std::string GetStatsByNodeType() const {
    return stats_calculator_->GetStatsByNodeType();
  }

std::string GetStatsByMetric(const string& title,
                               StatsCalculator::SortingMetric sorting_metric,
                               int num_stats) const {
    return stats_calculator_->GetStatsByMetric(title, sorting_metric,
                                               num_stats);
  }

int num_runs() const { return stats_calculator_->num_runs(); }

// Returns stats of total microseconds spent by all nodes in each run.
  const Stat<int64_t>& run_total_us() const {
    return stats_calculator_->run_total_us();
  }

private:
  void Validate(const std::vector<TensorDescription>* outputs,
                const NodeExecStats& ns) const;

std::map<std::string, std::vector<TensorDescription> > outputs_;

std::unique_ptr<StatsCalculator> stats_calculator_;
};

}  // namespace tensorflow

#endif  // TENSORFLOW_CORE_UTIL_STAT_SUMMARIZER_H_