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+#ifndef TENSORFLOW_LIB_HISTOGRAM_HISTOGRAM_H_
+#define TENSORFLOW_LIB_HISTOGRAM_HISTOGRAM_H_
+
+#include <string>
+#include "tensorflow/core/lib/gtl/array_slice.h"
+#include "tensorflow/core/platform/port.h"
+#include "tensorflow/core/platform/thread_annotations.h"
+
+namespace tensorflow {
+
+class HistogramProto;
+
+namespace histogram {
+
+class Histogram {
+ public:
+ // Create a histogram with a default set of bucket boundaries.
+ // Buckets near zero cover very small ranges (e.g. 10^-12), and each
+ // bucket range grows by ~10% as we head away from zero. The
+ // buckets cover the range from -DBL_MAX to DBL_MAX.
+ Histogram();
+
+ // Create a histogram with a custom set of bucket boundaries,
+ // specified in "custom_bucket_limits[0..custom_bucket_limits.size()-1]"
+ // REQUIRES: custom_bucket_limits[i] values are monotonically increasing.
+ // REQUIRES: custom_bucket_limits is not empty()
+ explicit Histogram(gtl::ArraySlice<double> custom_bucket_limits);
+
+ // Restore the state of a histogram that was previously encoded
+ // via Histogram::EncodeToProto. Note that only the bucket boundaries
+ // generated by EncodeToProto will be restored.
+ bool DecodeFromProto(const HistogramProto& proto);
+
+ ~Histogram() {}
+
+ void Clear();
+ void Add(double value);
+
+ // Save the current state of the histogram to "*proto". If
+ // "preserve_zero_buckets" is false, only non-zero bucket values and
+ // ranges are saved, and the bucket boundaries of zero-valued buckets
+ // are lost.
+ void EncodeToProto(HistogramProto* proto, bool preserve_zero_buckets) const;
+
+ // Return the median of the values in the histogram
+ double Median() const;
+
+ // Return the "p"th percentile [0.0..100.0] of the values in the
+ // distribution
+ double Percentile(double p) const;
+
+ // Return the average value of the distribution
+ double Average() const;
+
+ // Return the standard deviation of values in the distribution
+ double StandardDeviation() const;
+
+ // Returns a multi-line human-readable string representing the histogram
+ // contents. Example output:
+ // Count: 4 Average: 251.7475 StdDev: 432.02
+ // Min: -3.0000 Median: 5.0000 Max: 1000.0000
+ // ------------------------------------------------------
+ // [ -5, 0 ) 1 25.000% 25.000% #####
+ // [ 0, 5 ) 1 25.000% 50.000% #####
+ // [ 5, 10 ) 1 25.000% 75.000% #####
+ // [ 1000, 10000 ) 1 25.000% 100.000% #####
+ std::string ToString() const;
+
+ private:
+ double min_;
+ double max_;
+ double num_;
+ double sum_;
+ double sum_squares_;
+
+ std::vector<double> custom_bucket_limits_;
+ gtl::ArraySlice<double> bucket_limits_;
+ std::vector<double> buckets_;
+
+ TF_DISALLOW_COPY_AND_ASSIGN(Histogram);
+};
+
+// Wrapper around a Histogram object that is thread safe.
+//
+// All methods hold a lock while delegating to a Histogram object owned by the
+// ThreadSafeHistogram instance.
+//
+// See Histogram for documentation of the methods.
+class ThreadSafeHistogram {
+ public:
+ ThreadSafeHistogram() {}
+ explicit ThreadSafeHistogram(gtl::ArraySlice<double> custom_bucket_limits)
+ : histogram_(custom_bucket_limits) {}
+ bool DecodeFromProto(const HistogramProto& proto);
+
+ ~ThreadSafeHistogram() {}
+
+ void Clear();
+
+ // TODO(mdevin): It might be a good idea to provide a AddN(<many values>)
+ // method to avoid grabbing/releasing the lock when adding many values.
+ void Add(double value);
+
+ void EncodeToProto(HistogramProto* proto, bool preserve_zero_buckets) const;
+ double Median() const;
+ double Percentile(double p) const;
+ double Average() const;
+ double StandardDeviation() const;
+ std::string ToString() const;
+
+ private:
+ mutable mutex mu_;
+ Histogram histogram_ GUARDED_BY(mu_);
+};
+
+} // namespace histogram
+} // namespace tensorflow
+
+#endif // TENSORFLOW_LIB_HISTOGRAM_HISTOGRAM_H_