Creating a new contrib directory for audio ops using FFmpeg.

Change: 117956472

1 files changed, 0 insertions, 125 deletions

diff --git a/tensorflow/core/util/stat_summarizer.h b/tensorflow/core/util/stat_summarizer.h
deleted file mode 100644
index fe04279bea..0000000000
--- a/tensorflow/core/util/stat_summarizer.h
+++ /dev/null
@@ -1,125 +0,0 @@
-/* Copyright 2016 Google Inc. All Rights Reserved.
-
-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,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
-==============================================================================*/
-
-#ifndef TENSORFLOW_UTIL_STAT_SUMMARIZER_H_
-#define TENSORFLOW_UTIL_STAT_SUMMARIZER_H_
-
-#include <string.h>
-#include <cmath>
-#include <ios>
-#include <limits>
-#include <list>
-#include <map>
-
-#include <stdlib.h>
-#include "tensorflow/core/platform/types.h"
-
-namespace tensorflow {
-
-class GraphDef;
-class StepStats;
-
-static const int kNumValues = 1000;
-
-template <typename T>
-class Stat {
- public:
-  Stat<T>() { Reset(); }
-
-  void Reset() {
-    values_.clear();
-    min_value_ = std::numeric_limits<T>::max();
-    max_value_ = std::numeric_limits<T>::min();
-    avg_value_ = 0;
-    current_value_ = 0;
-    std_deviation_ = 0;
-  }
-
-  std::list<T> values_;
-  T min_value_;
-  T max_value_;
-  double avg_value_;
-  T current_value_;
-  double std_deviation_;
-
-  void UpdateStat(const T val) {
-    current_value_ = val;
-    values_.push_front(val);
-    while (values_.size() > kNumValues) {
-      values_.pop_back();
-    }
-
-    T total = 0;
-    for (const T curr_val : values_) {
-      min_value_ = std::min(min_value_, curr_val);
-      max_value_ = std::max(max_value_, curr_val);
-      total += curr_val;
-    }
-    avg_value_ = static_cast<double>(total) / values_.size();
-
-    double sqr_total = 0.0;
-    for (const T curr_val : values_) {
-      const double delta = avg_value_ - curr_val;
-      sqr_total += delta * delta;
-    }
-    std_deviation_ = std::sqrt(sqr_total / values_.size());
-  }
-
-  friend std::ostream& operator<<(std::ostream& stream, const Stat<T>& stat) {
-    stream << std::string("curr=") << stat.current_value_
-           << std::string(" min=") << stat.min_value_ << std::string(" max=")
-           << stat.max_value_ << std::string(" avg=")
-           << static_cast<int64>(stat.avg_value_) << std::string(" stddev=")
-           << static_cast<int64>(stat.std_deviation_);
-    return stream;
-  }
-};
-
-// A class intended to make performance analysis easier by collecting StepStats
-// and showing in an easily understandable format where CPU time is being spent.
-// See tensorflow/examples/android/jni/tensorflow_jni.cc for an example usage.
-class StatSummarizer {
- public:
-  // Adds another run's StepStats output to the aggregate counts.
-  void ProcessStepStats(const StepStats& step_stats);
-
-  // Prints all the accumulated runtime stats in a tab-separated format which
-  // can be pasted into a spreadsheet for further analysis.
-  void PrintStepStats();
-
-  void Reset() {
-    num_runs_ = 0;
-
-    run_total_us_.Reset();
-
-    timing_total_us_ = 0;
-    timing_totals_.clear();
-  }
-
- private:
-  void PrintHeaders();
-  void PrintColumns(const char* name, const double time_ms,
-                    const double percentage);
-
-  Stat<int64> run_total_us_;
-
-  int num_runs_ = 0;
-  int64 timing_total_us_ = 0;
-  std::map<string, int64> timing_totals_;
-};
-
-}  // namespace tensorflow
-
-#endif  // TENSORFLOW_UTIL_STAT_SUMMARIZER_H_