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gem5/base/statistics.hh
Nathan Binkert 667cbb6690 Implement more m5 pseduo opcodes: 
resetstats
dumpstats
dumpresetstats
m5checkpoint

Lots of cleanup of serialization and stats dumping/resetting to
work with these new instructions

arch/alpha/isa_desc:
    Implement more m5 pseduo opcodes:
    resetstats
    dumpstats
    dumpresetstats
    m5checkpoint

    All of these functions take two optional parameters, the first is a delay,
    and the second is a period.  The delay tells the simulator to wait the
    specified number of nanoseconds before triggering the event, the period
    tells the simulator to repeat the event with a specified frequency
base/statistics.cc:
base/statistics.hh:
    regReset RegResetCallback
dev/disk_image.cc:
    serializeFilename -> CheckpointFile()
sim/debug.cc:
    Move this debugging statement to sim_stats.cc
sim/eventq.cc:
    Don't AutoDelete an event if it is scheduled since the process()
    function could potentially schedule the event again.
sim/main.cc:
    DumpStatsEvent is now Statistics::SetupEvent(Dump, curTick)
sim/serialize.cc:
    Change the serialize event so that it's possible to cause the
    event to repeat.  Also make the priority such that the event
    happens just before the simulator would exit if both events
    were scheduled for the same cycle.

    get rid of the serializeFilename variable and provide a CheckpointFile()
    function.  This function takes a basename that is set in the
    configuration, and appends the current cycle to the name so that
    multiple checkpoints can be dumped from the same simulation.

    Also, don't exit the simulation when a checkpoint file is dumped.
sim/serialize.hh:
    serializeFilename -> CheckpointFile()
    SetupCheckpoint function to tell the simulator to prepare
    to checkpoint at a certain time with a certain period
sim/sim_events.cc:
    DumpStatsEvent stuff gets move to sim_stats.(cc|hh)
    The context stuff gets moved into the already existing
    stats context in stat_context.cc
sim/sim_events.hh:
    DumpStatsEvent stuff gets move to sim_stats.(cc|hh)
sim/universe.cc:
    Provide some simple functions for converting times into
    ticks.  These use floating point math to get as close as
    possible to the real values.  Multipliers are set up ahead
    of time

--HG--
extra : convert_revision : d06ef26a9237529a1e5060cb1ac2dcc04d4ec252
2003-11-02 18:02:58 -05:00

2846 lines
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/*
* Copyright (c) 2003 The Regents of The University of Michigan
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are
* met: redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer;
* redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution;
* neither the name of the copyright holders nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
* A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
* OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
* SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
* LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
* DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
* THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
/** @file
* Declaration of Statistics objects.
*/
/**
* @todo
*
* Generalized N-dimensinal vector
* documentation
* key stats
* interval stats
* -- these both can use the same function that prints out a
* specific set of stats
* VectorStandardDeviation totals
* Document Namespaces
*/
#ifndef __STATISTICS_HH__
#define __STATISTICS_HH__
#include <algorithm>
#include <functional>
#include <iosfwd>
#include <sstream>
#include <string>
#include <vector>
#include <assert.h>
#include "base/refcnt.hh"
#include "base/str.hh"
#include "base/intmath.hh"
#include <math.h>
#include "sim/host.hh"
//
// Un-comment this to enable weirdo-stat debugging
//
// #define STAT_DEBUG
#ifndef NAN
float __nan();
/** Define Not a number. */
#define NAN (__nan())
/** Need to define __nan() */
#define __M5_NAN
#endif
/** Print stats out in SS format. */
#define STAT_DISPLAY_COMPAT
class Callback;
/** The current simulated cycle. */
extern Tick curTick;
/* A namespace for all of the Statistics */
namespace Statistics {
/** All results are doubles. */
typedef double result_t;
/** A vector to hold results. */
typedef std::vector<result_t> rvec_t;
/**
* Define the storage for format flags.
* @todo Can probably shrink this.
*/
typedef u_int32_t FormatFlags;
/** Nothing extra to print. */
const FormatFlags none = 0x0000;
/** Print the total. */
const FormatFlags total = 0x0001;
/** Print the percent of the total that this entry represents. */
const FormatFlags pdf = 0x0002;
/** Don't print if this is zero. */
const FormatFlags nozero = 0x0004;
/** Don't print if this is NAN */
const FormatFlags nonan = 0x0008;
/** Print the cumulative percentage of total upto this entry. */
const FormatFlags cdf = 0x0010;
/** Print the distribution. */
const FormatFlags dist = 0x0020;
/** Used for SS compatability. */
const FormatFlags __substat = 0x8000;
/** Mask of flags that can't be set directly */
const FormatFlags __reserved = __substat;
/* Contains the statistic implementation details */
namespace Detail {
//////////////////////////////////////////////////////////////////////
//
// Statistics Framework Base classes
//
//////////////////////////////////////////////////////////////////////
struct StatData;
struct SubData;
/**
* Common base class for all statistics, used to maintain a list and print.
* This class holds no data itself but is used to find the associated
* StatData in the stat database @sa Statistics::Database.
*/
class Stat
{
protected:
/** Mark this statistics as initialized. */
void setInit();
/**
* Finds and returns the associated StatData from the database.
* @return The formatting and output data of this statistic.
*/
StatData *mydata();
/**
* Finds and returns a const pointer to the associated StatData.
* @return The formatting and output data of this statistic.
*/
const StatData *mydata() const;
/**
* Mark this stat for output at the end of simulation.
* @return The formatting and output data of this statistic.
*/
StatData *print();
/**
* Finds and returns the SubData at the given index.
* @param index The index of the SubData to find.
* @return The name and description of the given index.
*/
const SubData *mysubdata(int index) const;
/**
* Create and return a new SubData field for the given index.
* @param index The index to create a SubData for.
* @return A pointer to the created SubData.
*/
SubData *mysubdata_create(int index);
public:
/**
* Return the name of this stat.
* @return the name of the stat.
*/
virtual std::string myname() const;
/**
* Return the name of the sub field at the given index.
* @param index the subfield index.
* @return the name of the subfield.
*/
virtual std::string mysubname(int index) const;
/**
* Return the description of this stat.
* @return the description of this stat.
*/
virtual std::string mydesc() const;
/**
* Return the description of the subfield at the given index.
* @param index The subfield index.
* @return the description of the subfield.
*/
virtual std::string mysubdesc(int index) const;
/**
* Return the format flags of this stat.
* @return the format flags.
*/
virtual FormatFlags myflags() const;
/**
* Return true if this stat's prereqs have been satisfied (they are non
* zero).
* @return true if the prerequisite stats aren't zero.
*/
virtual bool dodisplay() const;
/**
* Return the display percision.
* @return The display precision.
*/
virtual int myprecision() const;
public:
/**
* Create this stat and perhaps register it with the stat database. To be
* printed a stat must be registered with the database.
* @param reg If true, register this stat in the database.
*/
Stat(bool reg);
/**
* Destructor
*/
virtual ~Stat() {}
/**
* Print this stat to the given ostream.
* @param stream The stream to print to.
*/
virtual void display(std::ostream &stream) const = 0;
/**
* Reset this stat to the default state.
*/
virtual void reset() = 0;
/**
* Return the number of entries in this stat.
* @return The number of entries.
*/
virtual size_t size() const = 0;
/**
* Return true if the stat has value zero.
* @return True if the stat is zero.
*/
virtual bool zero() const = 0;
/**
* Return true if stat is binned.
*@return True is stat is binned.
*/
virtual bool binned() const = 0;
/**
* Set the name and marks this stat to print at the end of simulation.
* @param name The new name.
* @return A reference to this stat.
*/
Stat &name(const std::string &name);
/**
* Set the description and marks this stat to print at the end of
* simulation.
* @param desc The new description.
* @return A reference to this stat.
*/
Stat &desc(const std::string &desc);
/**
* Set the precision and marks this stat to print at the end of simulation.
* @param p The new precision
* @return A reference to this stat.
*/
Stat &precision(int p);
/**
* Set the flags and marks this stat to print at the end of simulation.
* @param f The new flags.
* @return A reference to this stat.
*/
Stat &flags(FormatFlags f);
/**
* Set the prerequisite stat and marks this stat to print at the end of
* simulation.
* @param prereq The prerequisite stat.
* @return A reference to this stat.
*/
Stat &prereq(const Stat &prereq);
/**
* Set the subfield name for the given index, and marks this stat to print
* at the end of simulation.
* @param index The subfield index.
* @param name The new name of the subfield.
* @return A reference to this stat.
*/
Stat &subname(int index, const std::string &name);
/**
* Set the subfield description for the given index and marks this stat to
* print at the end of simulation.
* @param index The subfield index.
* @param desc The new description of the subfield
* @return A reference to this stat.
*/
Stat &subdesc(int index, const std::string &desc);
public:
/**
* Checks if the first stat's name is alphabetically less than the second.
* This function breaks names up at periods and considers each subname
* separately.
* @param stat1 The first stat.
* @param stat2 The second stat.
* @return stat1's name is alphabetically before stat2's
*/
static bool less(Stat *stat1, Stat *stat2);
#ifdef STAT_DEBUG
/** A unique ID used for debugging. */
int number;
#endif
};
/**
* Base class for all scalar stats. The class provides an interface to access
* the current value of the stat. This class can be used in formulas.
*/
class ScalarStat : public Stat
{
public:
/**
* Create and perhaps register this stat with the database.
* @param reg If true, register this stat with the database.
*/
ScalarStat(bool reg) : Stat(reg) {}
/**
* Return the current value of this statistic as a result type.
* @return The current value of this statistic.
*/
virtual result_t val() const = 0;
/**
* Return true if this stat has value zero.
* @return True if this stat is zero.
*/
virtual bool zero() const;
/**
* Print this stat to the provided ostream.
* @param stream The output stream.
*/
virtual void display(std::ostream &stream) const;
/**
* Return true if stat is binned.
*@return True is stat is binned.
*/
virtual bool binned() const = 0;
};
void
VectorDisplay(std::ostream &stream, const std::string &myname,
const std::vector<std::string> *mysubnames,
const std::string &mydesc,
const std::vector<std::string> *mysubdescs,
int myprecision, FormatFlags myflags, const rvec_t &vec,
result_t mytotal);
/**
* Base class for all vector stats. This class provides interfaces to access
* the current values of the stats as well as the totals. This class can be
* used in formulas.
*/
class VectorStat : public Stat
{
public:
/**
* Create and perhaps register this stat with the database.
* @param reg If true, register this stat with the database.
*/
VectorStat(bool reg) : Stat(reg) {}
/**
* Return a vector of result typesd of all the values in the vector.
* @return The values of the vector.
*/
virtual const rvec_t &val() const = 0;
/**
* Return the total of all the entries in the vector.
* @return The total of the vector.
*/
virtual result_t total() const = 0;
/**
* Return true if this stat has value zero.
* @return True if this stat is zero.
*/
virtual bool zero() const;
/**
* Print this stat to the provided ostream.
* @param stream The output stream.
*/
virtual void display(std::ostream &stream) const;
/**
* Return true if stat is binned.
*@return True is stat is binned.
*/
virtual bool binned() const = 0;
};
//////////////////////////////////////////////////////////////////////
//
// Simple Statistics
//
//////////////////////////////////////////////////////////////////////
/**
* Templatized storage and interface for a simple scalar stat.
*/
template <typename T>
struct StatStor
{
public:
/** The paramaters for this storage type, none for a scalar. */
struct Params { };
private:
/** The statistic value. */
T data;
public:
/**
* Builds this storage element and calls the base constructor of the
* datatype.
*/
StatStor(const Params &) : data(T()) {}
/**
* The the stat to the given value.
* @param val The new value.
* @param p The paramters of this storage type.
*/
void set(T val, const Params &p) { data = val; }
/**
* Increment the stat by the given value.
* @param val The new value.
* @param p The paramters of this storage type.
*/
void inc(T val, const Params &p) { data += val; }
/**
* Decrement the stat by the given value.
* @param val The new value.
* @param p The paramters of this storage type.
*/
void dec(T val, const Params &p) { data -= val; }
/**
* Return the value of this stat as a result type.
* @param p The parameters of this storage type.
* @return The value of this stat.
*/
result_t val(const Params &p) const { return (result_t)data; }
/**
* Return the value of this stat as its base type.
* @param p The params of this storage type.
* @return The value of this stat.
*/
T value(const Params &p) const { return data; }
/**
* Reset stat value to default
*/
void reset() { data = T(); }
};
/**
* Templatized storage and interface to a per-cycle average stat. This keeps
* a current count and updates a total (count * cycles) when this count
* changes. This allows the quick calculation of a per cycle count of the item
* being watched. This is good for keeping track of residencies in structures
* among other things.
* @todo add lateny to the stat and fix binning.
*/
template <typename T>
struct AvgStor
{
public:
/** The paramaters for this storage type, none for this average. */
struct Params { };
private:
/** The current count. */
T current;
/** The total count for all cycles. */
mutable result_t total;
/** The cycle that current last changed. */
mutable Tick last;
public:
/**
* Build and initializes this stat storage.
*/
AvgStor(const Params &) : current(T()), total(0), last(0) { }
/**
* Set the current count to the one provided, update the total and last
* set values.
* @param val The new count.
* @param p The parameters for this storage.
*/
void set(T val, const Params &p) {
total += current * (curTick - last);
last = curTick;
current = val;
}
/**
* Increment the current count by the provided value, calls set.
* @param val The amount to increment.
* @param p The parameters for this storage.
*/
void inc(T val, const Params &p) { set(current + val, p); }
/**
* Deccrement the current count by the provided value, calls set.
* @param val The amount to decrement.
* @param p The parameters for this storage.
*/
void dec(T val, const Params &p) { set(current - val, p); }
/**
* Return the current average.
* @param p The parameters for this storage.
* @return The current average.
*/
result_t val(const Params &p) const {
total += current * (curTick - last);
last = curTick;
return (result_t)(total + current) / (result_t)(curTick + 1);
}
/**
* Return the current count.
* @param p The parameters for this storage.
* @return The current count.
*/
T value(const Params &p) const { return current; }
/**
* Reset stat value to default
*/
void reset()
{
current = T();
total = 0;
last = curTick;
}
};
/**
* Implementation of a scalar stat. The type of stat is determined by the
* Storage template. The storage for this stat is held within the Bin class.
* This allows for breaking down statistics across multiple bins easily.
*/
template <typename T, template <typename T> class Storage, class Bin>
class ScalarBase : public ScalarStat
{
protected:
/** Define the type of the storage class. */
typedef Storage<T> storage_t;
/** Define the params of the storage class. */
typedef typename storage_t::Params params_t;
/** Define the bin type. */
typedef typename Bin::Bin<storage_t> bin_t;
protected:
/** The bin of this stat. */
bin_t bin;
/** The parameters for this stat. */
params_t params;
protected:
/**
* Retrieve the storage from the bin.
* @return The storage object for this stat.
*/
storage_t *data() { return bin.data(params); }
/**
* Retrieve a const pointer to the storage from the bin.
* @return A const pointer to the storage object for this stat.
*/
const storage_t *data() const {
return (const_cast<bin_t *>(&bin))->data(params);
}
protected:
/**
* Copy constructor, copies are not allowed.
*/
ScalarBase(const ScalarBase &stat);
/**
* Can't copy stats.
*/
const ScalarBase &operator=(const ScalarBase &);
public:
/**
* Return the current value of this stat as a result type.
* @return The current value.
*/
result_t val() const { return data()->val(params); }
/**
* Return the current value of this stat as its base type.
* @return The current value.
*/
T value() const { return data()->value(params); }
public:
/**
* Create and initialize this stat, register it with the database.
*/
ScalarBase() : ScalarStat(true) {
bin.init(params);
setInit();
}
public:
// Common operators for stats
/**
* Increment the stat by 1. This calls the associated storage object inc
* function.
*/
void operator++() { data()->inc(1, params); }
/**
* Decrement the stat by 1. This calls the associated storage object dec
* function.
*/
void operator--() { data()->dec(1, params); }
/** Increment the stat by 1. */
void operator++(int) { ++*this; }
/** Decrement the stat by 1. */
void operator--(int) { --*this; }
/**
* Set the data value to the given value. This calls the associated storage
* object set function.
* @param v The new value.
*/
template <typename U>
void operator=(const U& v) { data()->set(v, params); }
/**
* Increment the stat by the given value. This calls the associated
* storage object inc function.
* @param v The value to add.
*/
template <typename U>
void operator+=(const U& v) { data()->inc(v, params); }
/**
* Decrement the stat by the given value. This calls the associated
* storage object dec function.
* @param v The value to substract.
*/
template <typename U>
void operator-=(const U& v) { data()->dec(v, params); }
/**
* Return the number of elements, always 1 for a scalar.
* @return 1.
*/
virtual size_t size() const { return 1; }
/**
* Return true if stat is binned.
*@return True is stat is binned.
*/
virtual bool binned() const { return bin_t::binned; }
/**
* Reset stat value to default
*/
void reset() { bin.reset(); }
};
//////////////////////////////////////////////////////////////////////
//
// Vector Statistics
//
//////////////////////////////////////////////////////////////////////
template <typename T, template <typename T> class Storage, class Bin>
class ScalarProxy;
/**
* Implementation of a vector of stats. The type of stat is determined by the
* Storage class. @sa ScalarBase
*/
template <typename T, template <typename T> class Storage, class Bin>
class VectorBase : public VectorStat
{
protected:
/** Define the type of the storage class. */
typedef Storage<T> storage_t;
/** Define the params of the storage class. */
typedef typename storage_t::Params params_t;
/** Define the bin type. */
typedef typename Bin::VectorBin<storage_t> bin_t;
private:
/** Local storage for the entry values, used for printing. */
mutable rvec_t *vec;
protected:
/** The bin of this stat. */
bin_t bin;
/** The parameters for this stat. */
params_t params;
protected:
/**
* Retrieve the storage from the bin for the given index.
* @param index The vector index to access.
* @return The storage object at the given index.
*/
storage_t *data(int index) { return bin.data(index, params); }
/**
* Retrieve a const pointer to the storage from the bin
* for the given index.
* @param index The vector index to access.
* @return A const pointer to the storage object at the given index.
*/
const storage_t *data(int index) const {
return (const_cast<bin_t *>(&bin))->data(index, params);
}
protected:
// Copying stats is not allowed
/** Copying stats isn't allowed. */
VectorBase(const VectorBase &stat);
/** Copying stats isn't allowed. */
const VectorBase &operator=(const VectorBase &);
public:
/**
* Copy the values to a local vector and return a reference to it.
* @return A reference to a vector of the stat values.
*/
const rvec_t &val() const {
if (vec)
vec->resize(size());
else
vec = new rvec_t(size());
for (int i = 0; i < size(); ++i)
(*vec)[i] = data(i)->val(params);
return *vec;
}
/**
* Return a total of all entries in this vector.
* @return The total of all vector entries.
*/
result_t total() const {
result_t total = 0.0;
for (int i = 0; i < size(); ++i)
total += data(i)->val(params);
return total;
}
public:
/**
* Create this vector and register it with the database.
*/
VectorBase() : VectorStat(true), vec(NULL) {}
/**
* Destructor.
*/
~VectorBase() { if (vec) delete vec; }
/**
* Set this vector to have the given size.
* @param size The new size.
* @return A reference to this stat.
*/
VectorBase &init(size_t size) {
bin.init(size, params);
setInit();
return *this;
}
/** Friend this class with the associated scalar proxy. */
friend class ScalarProxy<T, Storage, Bin>;
/**
* Return a reference (ScalarProxy) to the stat at the given index.
* @param index The vector index to access.
* @return A reference of the stat.
*/
ScalarProxy<T, Storage, Bin> operator[](int index);
/**
* Return the number of elements in this vector.
* @return The size of the vector.
*/
virtual size_t size() const { return bin.size(); }
/**
* Return true if stat is binned.
*@return True is stat is binned.
*/
virtual bool binned() const { return bin_t::binned; }
/**
* Reset stat value to default
*/
virtual void reset() { bin.reset(); }
};
/**
* A proxy class to access the stat at a given index in a VectorBase stat.
* Behaves like a ScalarBase.
*/
template <typename T, template <typename T> class Storage, class Bin>
class ScalarProxy : public ScalarStat
{
protected:
/** Define the type of the storage class. */
typedef Storage<T> storage_t;
/** Define the params of the storage class. */
typedef typename storage_t::Params params_t;
/** Define the bin type. */
typedef typename Bin::VectorBin<storage_t> bin_t;
private:
/** Pointer to the bin in the parent VectorBase. */
bin_t *bin;
/** Pointer to the params in the parent VectorBase. */
params_t *params;
/** The index to access in the parent VectorBase. */
int index;
protected:
/**
* Retrieve the storage from the bin.
* @return The storage from the bin for this stat.
*/
storage_t *data() { return bin->data(index, *params); }
/**
* Retrieve a const pointer to the storage from the bin.
* @return A const pointer to the storage for this stat.
*/
const storage_t *data() const { return bin->data(index, *params); }
public:
/**
* Return the current value of this statas a result type.
* @return The current value.
*/
result_t val() const { return data()->val(*params); }
/**
* Return the current value of this stat as its base type.
* @return The current value.
*/
T value() const { return data()->value(*params); }
public:
/**
* Create and initialize this proxy, do not register it with the database.
* @param b The bin to use.
* @param p The params to use.
* @param i The index to access.
*/
ScalarProxy(bin_t &b, params_t &p, int i)
: ScalarStat(false), bin(&b), params(&p), index(i) {}
/**
* Create a copy of the provided ScalarProxy.
* @param sp The proxy to copy.
*/
ScalarProxy(const ScalarProxy &sp)
: ScalarStat(false), bin(sp.bin), params(sp.params), index(sp.index) {}
/**
* Set this proxy equal to the provided one.
* @param sp The proxy to copy.
* @return A reference to this proxy.
*/
const ScalarProxy &operator=(const ScalarProxy &sp) {
bin = sp.bin;
params = sp.params;
index = sp.index;
return *this;
}
public:
// Common operators for stats
/**
* Increment the stat by 1. This calls the associated storage object inc
* function.
*/
void operator++() { data()->inc(1, *params); }
/**
* Decrement the stat by 1. This calls the associated storage object dec
* function.
*/
void operator--() { data()->dec(1, *params); }
/** Increment the stat by 1. */
void operator++(int) { ++*this; }
/** Decrement the stat by 1. */
void operator--(int) { --*this; }
/**
* Set the data value to the given value. This calls the associated storage
* object set function.
* @param v The new value.
*/
template <typename U>
void operator=(const U& v) { data()->set(v, *params); }
/**
* Increment the stat by the given value. This calls the associated
* storage object inc function.
* @param v The value to add.
*/
template <typename U>
void operator+=(const U& v) { data()->inc(v, *params); }
/**
* Decrement the stat by the given value. This calls the associated
* storage object dec function.
* @param v The value to substract.
*/
template <typename U>
void operator-=(const U& v) { data()->dec(v, *params); }
/**
* Return the number of elements, always 1 for a scalar.
* @return 1.
*/
virtual size_t size() const { return 1; }
/**
* Return true if stat is binned.
*@return false since Proxies aren't printed/binned
*/
virtual bool binned() const { return false; }
/**
* This stat has no state. Nothing to reset
*/
virtual void reset() { }
};
template <typename T, template <typename T> class Storage, class Bin>
inline ScalarProxy<T, Storage, Bin>
VectorBase<T, Storage, Bin>::operator[](int index)
{
assert (index >= 0 && index < size());
return ScalarProxy<T, Storage, Bin>(bin, params, index);
}
template <typename T, template <typename T> class Storage, class Bin>
class VectorProxy;
template <typename T, template <typename T> class Storage, class Bin>
class Vector2dBase : public Stat
{
protected:
typedef Storage<T> storage_t;
typedef typename storage_t::Params params_t;
typedef typename Bin::VectorBin<storage_t> bin_t;
protected:
size_t x;
size_t y;
bin_t bin;
params_t params;
std::vector<std::string> *y_subnames;
protected:
storage_t *data(int index) { return bin.data(index, params); }
const storage_t *data(int index) const {
return (const_cast<bin_t *>(&bin))->data(index, params);
}
protected:
// Copying stats is not allowed
Vector2dBase(const Vector2dBase &stat);
const Vector2dBase &operator=(const Vector2dBase &);
public:
Vector2dBase() : Stat(true) {}
~Vector2dBase() { }
Vector2dBase &init(size_t _x, size_t _y) {
x = _x;
y = _y;
bin.init(x * y, params);
setInit();
y_subnames = new std::vector<std::string>(y);
return *this;
}
/**
* @warning This makes the assumption that if you're gonna subnames a 2d
* vector, you're subnaming across all y
*/
Vector2dBase &ysubnames(const char **names)
{
for (int i=0; i < y; ++i) {
(*y_subnames)[i] = names[i];
}
return *this;
}
Vector2dBase &ysubname(int index, const std::string subname)
{
(*y_subnames)[i] = subname.c_str();
return *this;
}
std::string ysubname(int i) const { return (*y_subnames)[i]; }
friend class VectorProxy<T, Storage, Bin>;
VectorProxy<T, Storage, Bin> operator[](int index);
virtual size_t size() const { return bin.size(); }
virtual bool zero() const { return data(0)->value(params) == 0.0; }
/**
* Return true if stat is binned.
*@return True is stat is binned.
*/
virtual bool binned() const { return bin_t::binned; }
virtual void
display(std::ostream &out) const
{
bool have_subname = false;
for (int i = 0; i < x; ++i) {
if (!mysubname(i).empty())
have_subname = true;
}
rvec_t tot_vec(y);
result_t super_total = 0.0;
for (int i = 0; i < x; ++i) {
std::string subname;
if (have_subname) {
subname = mysubname(i);
if (subname.empty())
continue;
} else
subname = to_string(i);
int iy = i * y;
rvec_t vec(y);
result_t total = 0.0;
for (int j = 0; j < y; ++j) {
vec[j] = data(iy + j)->val(params);
tot_vec[j] += vec[j];
total += vec[j];
super_total += vec[j];
}
std::string desc;
if (mysubdesc(i).empty()) {
desc = mydesc();
} else {
desc = mysubdesc(i);
}
VectorDisplay(out, myname() + "_" + subname, y_subnames, desc, 0,
myprecision(), myflags(), vec, total);
}
if ((myflags() & ::Statistics::total) && (x > 1)) {
VectorDisplay(out, myname(), y_subnames, mydesc(), 0,
myprecision(), myflags(), tot_vec, super_total);
}
}
/**
* Reset stat value to default
*/
virtual void reset() { bin.reset(); }
};
template <typename T, template <typename T> class Storage, class Bin>
class VectorProxy : public VectorStat
{
protected:
typedef Storage<T> storage_t;
typedef typename storage_t::Params params_t;
typedef typename Bin::VectorBin<storage_t> bin_t;
private:
bin_t *bin;
params_t *params;
int offset;
int len;
private:
mutable rvec_t *vec;
storage_t *data(int index) {
assert(index < len);
return bin->data(offset + index, *params);
}
const storage_t *data(int index) const {
return (const_cast<bin_t *>(bin))->data(offset + index, *params);
}
public:
const rvec_t &val() const {
if (vec)
vec->resize(size());
else
vec = new rvec_t(size());
for (int i = 0; i < size(); ++i)
(*vec)[i] = data(i)->val(*params);
return *vec;
}
result_t total() const {
result_t total = 0.0;
for (int i = 0; i < size(); ++i)
total += data(i)->val(*params);
return total;
}
public:
VectorProxy(bin_t &b, params_t &p, int o, int l)
: VectorStat(false), bin(&b), params(&p), offset(o), len(l), vec(NULL)
{ }
VectorProxy(const VectorProxy &sp)
: VectorStat(false), bin(sp.bin), params(sp.params), offset(sp.offset),
len(sp.len), vec(NULL)
{ }
~VectorProxy() {
if (vec)
delete vec;
}
const VectorProxy &operator=(const VectorProxy &sp) {
bin = sp.bin;
params = sp.params;
offset = sp.offset;
len = sp.len;
if (vec)
delete vec;
vec = NULL;
return *this;
}
virtual size_t size() const { return len; }
ScalarProxy<T, Storage, Bin> operator[](int index) {
assert (index >= 0 && index < size());
return ScalarProxy<T, Storage, Bin>(*bin, *params, offset + index);
}
/**
* Return true if stat is binned.
*@return false since Proxies aren't printed/binned
*/
virtual bool binned() const { return false; }
/**
* This stat has no state. Nothing to reset.
*/
virtual void reset() { }
};
template <typename T, template <typename T> class Storage, class Bin>
inline VectorProxy<T, Storage, Bin>
Vector2dBase<T, Storage, Bin>::operator[](int index)
{
int offset = index * y;
assert (index >= 0 && offset < size());
return VectorProxy<T, Storage, Bin>(bin, params, offset, y);
}
//////////////////////////////////////////////////////////////////////
//
// Non formula statistics
//
//////////////////////////////////////////////////////////////////////
void DistDisplay(std::ostream &stream, const std::string &name,
const std::string &desc, int precision, FormatFlags flags,
result_t min_val, result_t max_val,
result_t underflow, result_t overflow,
const rvec_t &vec, int min, int max, int bucket_size,
int size);
/**
* Templatized storage and interface for a distrbution stat.
*/
template <typename T>
struct DistStor
{
public:
/** The parameters for a distribution stat. */
struct Params
{
/** The minimum value to track. */
int min;
/** The maximum value to track. */
int max;
/** The number of entries in each bucket. */
int bucket_size;
/** The number of buckets. Equal to (max-min)/bucket_size. */
int size;
};
private:
/** The smallest value sampled. */
T min_val;
/** The largest value sampled. */
T max_val;
/** The number of values sampled less than min. */
T underflow;
/** The number of values sampled more than max. */
T overflow;
/** Counter for each bucket. */
std::vector<T> vec;
public:
/**
* Construct this storage with the supplied params.
* @param params The parameters.
*/
DistStor(const Params &params)
: min_val(INT_MAX), max_val(INT_MIN), underflow(0), overflow(0),
vec(params.size)
{
reset();
}
/**
* Add a value to the distribution for the given number of times.
* @param val The value to add.
* @param number The number of times to add the value.
* @param params The paramters of the distribution.
*/
void sample(T val, int number, const Params &params) {
if (val < params.min)
underflow += number;
else if (val > params.max)
overflow += number;
else {
int index = (val - params.min) / params.bucket_size;
assert(index < size(params));
vec[index] += number;
}
if (val < min_val)
min_val = val;
if (val > max_val)
max_val = val;
}
/**
* Return the number of buckets in this distribution.
* @return the number of buckets.
* @todo Is it faster to return the size from the parameters?
*/
size_t size(const Params &) const { return vec.size(); }
/**
* Returns true if any calls to sample have been made.
* @param params The paramters of the distribution.
* @return True if any values have been sampled.
*/
bool zero(const Params &params) const {
if (underflow != 0 || overflow != 0)
return false;
int s = size(params);
for (int i = 0; i < s; i++)
if (vec[i] != 0)
return false;
return true;
}
/**
* Print this distribution and the given print data to the given ostream.
* @param stream The output stream.
* @param name The name of this stat (from StatData).
* @param desc The description of this stat (from StatData).
* @param precision The print precision (from StatData).
* @param flags The format flags (from StatData).
* @param params The paramters of this distribution.
*/
void display(std::ostream &stream, const std::string &name,
const std::string &desc, int precision, FormatFlags flags,
const Params &params) const {
#ifdef STAT_DISPLAY_COMPAT
result_t min = params.min;
#else
result_t min = (min_val == INT_MAX) ? params.min : min_val;
#endif
result_t max = (max_val == INT_MIN) ? 0 : max_val;
rvec_t rvec(params.size);
for (int i = 0; i < params.size; ++i)
rvec[i] = vec[i];
DistDisplay(stream, name, desc, precision, flags,
(result_t)min, (result_t)max,
(result_t)underflow, (result_t)overflow,
rvec, params.min, params.max, params.bucket_size,
params.size);
}
/**
* Reset stat value to default
*/
void reset()
{
min_val = INT_MAX;
max_val = INT_MIN;
underflow = 0;
overflow = 0;
int size = vec.size();
for (int i = 0; i < size; ++i)
vec[i] = T();
}
};
void FancyDisplay(std::ostream &stream, const std::string &name,
const std::string &desc, int precision, FormatFlags flags,
result_t mean, result_t variance);
/**
* Templatized storage and interface for a distribution that calculates mean
* and variance.
*/
template <typename T>
struct FancyStor
{
public:
/**
* No paramters for this storage.
*/
struct Params {};
private:
/** The current sum. */
T sum;
/** The sum of squares. */
T squares;
/** The total number of samples. */
int total;
public:
/**
* Create and initialize this storage.
*/
FancyStor(const Params &) : sum(T()), squares(T()), total(0) {}
/**
* Add a value the given number of times to this running average.
* Update the running sum and sum of squares, increment the number of
* values seen by the given number.
* @param val The value to add.
* @param number The number of times to add the value.
* @param p The parameters of this stat.
*/
void sample(T val, int number, const Params &p) {
T value = val * number;
sum += value;
squares += value * value;
total += number;
}
/**
* Print this distribution and the given print data to the given ostream.
* @param stream The output stream.
* @param name The name of this stat (from StatData).
* @param desc The description of this stat (from StatData).
* @param precision The print precision (from StatData).
* @param flags The format flags (from StatData).
* @param params The paramters of this distribution.
*/
void display(std::ostream &stream, const std::string &name,
const std::string &desc, int precision, FormatFlags flags,
const Params &params) const {
result_t mean = NAN;
result_t variance = NAN;
if (total != 0) {
result_t fsum = sum;
result_t fsq = squares;
result_t ftot = total;
mean = fsum / ftot;
variance = (ftot * fsq - (fsum * fsum)) / (ftot * (ftot - 1.0));
}
FancyDisplay(stream, name, desc, precision, flags, mean, variance);
}
/**
* Return the number of entries in this stat, 1
* @return 1.
*/
size_t size(const Params &) const { return 1; }
/**
* Return true if no samples have been added.
* @return True if no samples have been added.
*/
bool zero(const Params &) const { return total == 0; }
/**
* Reset stat value to default
*/
virtual void reset()
{
sum = T();
squares = T();
total = 0;
}
};
/**
* Templatized storage for distribution that calculates per cycle mean and
* variance.
*/
template <typename T>
struct AvgFancy
{
public:
/** No parameters for this storage. */
struct Params {};
private:
/** Current total. */
T sum;
/** Current sum of squares. */
T squares;
public:
/**
* Create and initialize this storage.
*/
AvgFancy(const Params &) : sum(T()), squares(T()) {}
/**
* Add a value to the distribution for the given number of times.
* Update the running sum and sum of squares.
* @param val The value to add.
* @param number The number of times to add the value.
* @param p The paramters of the distribution.
*/
void sample(T val, int number, const Params& p) {
T value = val * number;
sum += value;
squares += value * value;
}
/**
* Print this distribution and the given print data to the given ostream.
* @param stream The output stream.
* @param name The name of this stat (from StatData).
* @param desc The description of this stat (from StatData).
* @param precision The print precision (from StatData).
* @param flags The format flags (from StatData).
* @param params The paramters of this distribution.
*/
void display(std::ostream &stream, const std::string &name,
const std::string &desc, int precision, FormatFlags flags,
const Params &params) const {
result_t mean = sum / curTick;
result_t variance = (squares - sum * sum) / curTick;
FancyDisplay(stream, name, desc, precision, flags, mean, variance);
}
/**
* Return the number of entries, in this case 1.
* @return 1.
*/
size_t size(const Params &params) const { return 1; }
/**
* Return true if no samples have been added.
* @return True if the sum is zero.
*/
bool zero(const Params &params) const { return sum == 0; }
/**
* Reset stat value to default
*/
virtual void reset()
{
sum = T();
squares = T();
}
};
/**
* Implementation of a distribution stat. The type of distribution is
* determined by the Storage template. @sa ScalarBase
*/
template <typename T, template <typename T> class Storage, class Bin>
class DistBase : public Stat
{
protected:
/** Define the type of the storage class. */
typedef Storage<T> storage_t;
/** Define the params of the storage class. */
typedef typename storage_t::Params params_t;
/** Define the bin type. */
typedef typename Bin::Bin<storage_t> bin_t;
protected:
/** The bin of this stat. */
bin_t bin;
/** The parameters for this stat. */
params_t params;
protected:
/**
* Retrieve the storage from the bin.
* @return The storage object for this stat.
*/
storage_t *data() { return bin.data(params); }
/**
* Retrieve a const pointer to the storage from the bin.
* @return A const pointer to the storage object for this stat.
*/
const storage_t *data() const {
return (const_cast<bin_t *>(&bin))->data(params);
}
protected:
// Copying stats is not allowed
/** Copies are not allowed. */
DistBase(const DistBase &stat);
/** Copies are not allowed. */
const DistBase &operator=(const DistBase &);
public:
/**
* Create this distrubition and register it with the database.
*/
DistBase() : Stat(true) { }
/**
* Destructor.
*/
~DistBase() { }
/**
* Add a value to the distribtion n times. Calls sample on the storage
* class.
* @param v The value to add.
* @param n The number of times to add it, defaults to 1.
*/
template <typename U>
void sample(const U& v, int n = 1) { data()->sample(v, n, params); }
/**
* Return the number of entries in this stat.
* @return The number of entries.
*/
virtual size_t size() const { return data()->size(params); }
/**
* Return true if no samples have been added.
* @return True if there haven't been any samples.
*/
virtual bool zero() const { return data()->zero(params); }
/**
* Print this distribution to the given ostream.
* @param stream The output stream.
*/
virtual void display(std::ostream &stream) const {
data()->display(stream, myname(), mydesc(), myprecision(), myflags(),
params);
}
/**
* Return true if stat is binned.
*@return True is stat is binned.
*/
virtual bool binned() const { return bin_t::binned; }
/**
* Reset stat value to default
*/
virtual void reset()
{
bin.reset();
}
};
template <typename T, template <typename T> class Storage, class Bin>
class DistProxy;
template <typename T, template <typename T> class Storage, class Bin>
class VectorDistBase : public Stat
{
protected:
typedef Storage<T> storage_t;
typedef typename storage_t::Params params_t;
typedef typename Bin::VectorBin<storage_t> bin_t;
protected:
bin_t bin;
params_t params;
protected:
storage_t *data(int index) { return bin.data(index, params); }
const storage_t *data(int index) const {
return (const_cast<bin_t *>(&bin))->data(index, params);
}
protected:
// Copying stats is not allowed
VectorDistBase(const VectorDistBase &stat);
const VectorDistBase &operator=(const VectorDistBase &);
public:
VectorDistBase() : Stat(true) { }
~VectorDistBase() { }
friend class DistProxy<T, Storage, Bin>;
DistProxy<T, Storage, Bin> operator[](int index);
const DistProxy<T, Storage, Bin> operator[](int index) const;
virtual size_t size() const { return bin.size(); }
virtual bool zero() const { return false; }
virtual void display(std::ostream &stream) const;
/**
* Return true if stat is binned.
*@return True is stat is binned.
*/
virtual bool binned() const { return bin_t::binned; }
/**
* Reset stat value to default
*/
virtual void reset()
{
bin.reset();
}
};
template <typename T, template <typename T> class Storage, class Bin>
class DistProxy : public Stat
{
protected:
typedef Storage<T> storage_t;
typedef typename storage_t::Params params_t;
typedef typename Bin::Bin<storage_t> bin_t;
typedef VectorDistBase<T, Storage, Bin> base_t;
private:
union {
base_t *stat;
const base_t *cstat;
};
int index;
protected:
storage_t *data() { return stat->data(index); }
const storage_t *data() const { return cstat->data(index); }
public:
DistProxy(const VectorDistBase<T, Storage, Bin> &s, int i)
: Stat(false), cstat(&s), index(i) {}
DistProxy(const DistProxy &sp)
: Stat(false), cstat(sp.cstat), index(sp.index) {}
const DistProxy &operator=(const DistProxy &sp) {
cstat = sp.cstat; index = sp.index; return *this;
}
public:
template <typename U>
void sample(const U& v, int n = 1) { data()->sample(v, n, cstat->params); }
virtual size_t size() const { return 1; }
virtual bool zero() const {
return data()->zero(cstat->params);
}
virtual void display(std::ostream &stream) const {
std::stringstream name, desc;
if (!(cstat->mysubname(index).empty())) {
name << cstat->myname() << cstat->mysubname(index);
} else {
name << cstat->myname() << "_" << index;
}
if (!(cstat->mysubdesc(index).empty())) {
desc << cstat->mysubdesc(index);
} else {
desc << cstat->mydesc();
}
data()->display(stream, name.str(), desc.str(),
cstat->myprecision(), cstat->myflags(), cstat->params);
}
/**
* Return true if stat is binned.
*@return false since Proxies are not binned/printed.
*/
virtual bool binned() const { return false; }
/**
* Proxy has no state. Nothing to reset.
*/
virtual void reset() { }
};
template <typename T, template <typename T> class Storage, class Bin>
inline DistProxy<T, Storage, Bin>
VectorDistBase<T, Storage, Bin>::operator[](int index)
{
assert (index >= 0 && index < size());
return DistProxy<T, Storage, Bin>(*this, index);
}
template <typename T, template <typename T> class Storage, class Bin>
inline const DistProxy<T, Storage, Bin>
VectorDistBase<T, Storage, Bin>::operator[](int index) const
{
assert (index >= 0 && index < size());
return DistProxy<T, Storage, Bin>(*this, index);
}
/**
* @todo Need a way to print Distribution totals across the Vector
*/
template <typename T, template <typename T> class Storage, class Bin>
void
VectorDistBase<T, Storage, Bin>::display(std::ostream &stream) const
{
for (int i = 0; i < size(); ++i) {
DistProxy<T, Storage, Bin> proxy(*this, i);
proxy.display(stream);
}
}
#if 0
result_t
VectorDistBase<T, Storage, Bin>::total(int index) const
{
int total = 0;
for (int i=0; i < x_size(); ++i) {
total += data(i)->val(*params);
}
}
#endif
//////////////////////////////////////////////////////////////////////
//
// Formula Details
//
//////////////////////////////////////////////////////////////////////
/**
* Base class for formula statistic node. These nodes are used to build a tree
* that represents the formula.
*/
class Node : public RefCounted
{
public:
/**
* Return the number of nodes in the subtree starting at this node.
* @return the number of nodes in this subtree.
*/
virtual size_t size() const = 0;
/**
* Return the result vector of this subtree.
* @return The result vector of this subtree.
*/
virtual const rvec_t &val() const = 0;
/**
* Return the total of the result vector.
* @return The total of the result vector.
*/
virtual result_t total() const = 0;
/**
* Return true if stat is binned.
*@return True is stat is binned.
*/
virtual bool binned() const = 0;
};
/** Reference counting pointer to a function Node. */
typedef RefCountingPtr<Node> NodePtr;
class ScalarStatNode : public Node
{
private:
const ScalarStat &stat;
mutable rvec_t result;
public:
ScalarStatNode(const ScalarStat &s) : stat(s), result(1) {}
const rvec_t &val() const { result[0] = stat.val(); return result; }
virtual result_t total() const { return stat.val(); };
virtual size_t size() const { return 1; }
/**
* Return true if stat is binned.
*@return True is stat is binned.
*/
virtual bool binned() const { return stat.binned(); }
};
template <typename T, template <typename T> class Storage, class Bin>
class ScalarProxyNode : public Node
{
private:
const ScalarProxy<T, Storage, Bin> proxy;
mutable rvec_t result;
public:
ScalarProxyNode(const ScalarProxy<T, Storage, Bin> &p)
: proxy(p), result(1) { }
const rvec_t &val() const { result[0] = proxy.val(); return result; }
virtual result_t total() const { return proxy.val(); };
virtual size_t size() const { return 1; }
/**
* Return true if stat is binned.
*@return True is stat is binned.
*/
virtual bool binned() const { return proxy.binned(); }
};
class VectorStatNode : public Node
{
private:
const VectorStat &stat;
public:
VectorStatNode(const VectorStat &s) : stat(s) {}
const rvec_t &val() const { return stat.val(); }
virtual result_t total() const { return stat.total(); };
virtual size_t size() const { return stat.size(); }
/**
* Return true if stat is binned.
*@return True is stat is binned.
*/
virtual bool binned() const { return stat.binned(); }
};
template <typename T>
class ConstNode : public Node
{
private:
rvec_t data;
public:
ConstNode(T s) : data(1, (result_t)s) {}
const rvec_t &val() const { return data; }
virtual result_t total() const { return data[0]; };
virtual size_t size() const { return 1; }
/**
* Return true if stat is binned.
*@return False since constants aren't binned.
*/
virtual bool binned() const { return false; }
};
template <typename T>
class FunctorNode : public Node
{
private:
T &functor;
mutable rvec_t result;
public:
FunctorNode(T &f) : functor(f) { result.resize(1); }
const rvec_t &val() const {
result[0] = (result_t)functor();
return result;
}
virtual result_t total() const { return (result_t)functor(); };
virtual size_t size() const { return 1; }
/**
* Return true if stat is binned.
*@return False since Functors aren't binned
*/
virtual bool binned() const { return false; }
};
template <typename T>
class ScalarNode : public Node
{
private:
T &scalar;
mutable rvec_t result;
public:
ScalarNode(T &s) : scalar(s) { result.resize(1); }
const rvec_t &val() const {
result[0] = (result_t)scalar;
return result;
}
virtual result_t total() const { return (result_t)scalar; };
virtual size_t size() const { return 1; }
/**
* Return true if stat is binned.
*@return False since Scalar's aren't binned
*/
virtual bool binned() const { return false; }
};
template <class Op>
class UnaryNode : public Node
{
public:
NodePtr l;
mutable rvec_t result;
public:
UnaryNode(NodePtr p) : l(p) {}
const rvec_t &val() const {
const rvec_t &lvec = l->val();
int size = lvec.size();
assert(size > 0);
result.resize(size);
Op op;
for (int i = 0; i < size; ++i)
result[i] = op(lvec[i]);
return result;
}
result_t total() const {
Op op;
return op(l->total());
}
virtual size_t size() const { return l->size(); }
/**
* Return true if child of node is binned.
*@return True if child of node is binned.
*/
virtual bool binned() const { return l->binned(); }
};
template <class Op>
class BinaryNode : public Node
{
public:
NodePtr l;
NodePtr r;
mutable rvec_t result;
public:
BinaryNode(NodePtr a, NodePtr b) : l(a), r(b) {}
const rvec_t &val() const {
Op op;
const rvec_t &lvec = l->val();
const rvec_t &rvec = r->val();
assert(lvec.size() > 0 && rvec.size() > 0);
if (lvec.size() == 1 && rvec.size() == 1) {
result.resize(1);
result[0] = op(lvec[0], rvec[0]);
} else if (lvec.size() == 1) {
int size = rvec.size();
result.resize(size);
for (int i = 0; i < size; ++i)
result[i] = op(lvec[0], rvec[i]);
} else if (rvec.size() == 1) {
int size = lvec.size();
result.resize(size);
for (int i = 0; i < size; ++i)
result[i] = op(lvec[i], rvec[0]);
} else if (rvec.size() == lvec.size()) {
int size = rvec.size();
result.resize(size);
for (int i = 0; i < size; ++i)
result[i] = op(lvec[i], rvec[i]);
}
return result;
}
result_t total() const {
Op op;
return op(l->total(), r->total());
}
virtual size_t size() const {
int ls = l->size();
int rs = r->size();
if (ls == 1)
return rs;
else if (rs == 1)
return ls;
else {
assert(ls == rs && "Node vector sizes are not equal");
return ls;
}
}
/**
* Return true if any children of node are binned
*@return True if either child of node is binned.
*/
virtual bool binned() const { return (l->binned() || r->binned()); }
};
template <class Op>
class SumNode : public Node
{
public:
NodePtr l;
mutable rvec_t result;
public:
SumNode(NodePtr p) : l(p), result(1) {}
const rvec_t &val() const {
const rvec_t &lvec = l->val();
int size = lvec.size();
assert(size > 0);
result[0] = 0.0;
Op op;
for (int i = 0; i < size; ++i)
result[0] = op(result[0], lvec[i]);
return result;
}
result_t total() const {
const rvec_t &lvec = l->val();
int size = lvec.size();
assert(size > 0);
result_t result = 0.0;
Op op;
for (int i = 0; i < size; ++i)
result = op(result, lvec[i]);
return result;
}
virtual size_t size() const { return 1; }
/**
* Return true if child of node is binned.
*@return True if child of node is binned.
*/
virtual bool binned() const { return l->binned(); }
};
/**
* Helper class to construct formula node trees.
*/
class Temp
{
private:
/**
* Pointer to a Node object.
*/
NodePtr node;
public:
/**
* Copy the given pointer to this class.
* @param n A pointer to a Node object to copy.
*/
Temp(NodePtr n) : node(n) {}
/**
* Create a new ScalarStatNode.
* @param s The ScalarStat to place in a node.
*/
Temp(const ScalarStat &s) : node(new ScalarStatNode(s)) {}
/**
* Create a new ScalarProxyNode.
* @param p The ScalarProxy to place in a node.
*/
template <typename T, template <typename T> class Storage, class Bin>
Temp(const ScalarProxy<T, Storage, Bin> &p)
: node(new ScalarProxyNode<T, Storage, Bin>(p)) {}
/**
* Create a new VectorStatNode.
* @param s The VectorStat to place in a node.
*/
Temp(const VectorStat &s) : node(new VectorStatNode(s)) {}
/**
* Create a ConstNode
* @param value The value of the const node.
*/
Temp(signed char value) : node(new ConstNode<signed char>(value)) {}
/**
* Create a ConstNode
* @param value The value of the const node.
*/
Temp(unsigned char value) : node(new ConstNode<unsigned char>(value)) {}
/**
* Create a ConstNode
* @param value The value of the const node.
*/
Temp(signed short value) : node(new ConstNode<signed short>(value)) {}
/**
* Create a ConstNode
* @param value The value of the const node.
*/
Temp(unsigned short value) : node(new ConstNode<unsigned short>(value)) {}
/**
* Create a ConstNode
* @param value The value of the const node.
*/
Temp(signed int value) : node(new ConstNode<signed int>(value)) {}
/**
* Create a ConstNode
* @param value The value of the const node.
*/
Temp(unsigned int value) : node(new ConstNode<unsigned int>(value)) {}
/**
* Create a ConstNode
* @param value The value of the const node.
*/
Temp(signed long value) : node(new ConstNode<signed long>(value)) {}
/**
* Create a ConstNode
* @param value The value of the const node.
*/
Temp(unsigned long value) : node(new ConstNode<unsigned long>(value)) {}
/**
* Create a ConstNode
* @param value The value of the const node.
*/
Temp(signed long long value)
: node(new ConstNode<signed long long>(value)) {}
/**
* Create a ConstNode
* @param value The value of the const node.
*/
Temp(unsigned long long value)
: node(new ConstNode<unsigned long long>(value)) {}
/**
* Create a ConstNode
* @param value The value of the const node.
*/
Temp(float value) : node(new ConstNode<float>(value)) {}
/**
* Create a ConstNode
* @param value The value of the const node.
*/
Temp(double value) : node(new ConstNode<double>(value)) {}
/**
* Return the node pointer.
* @return the node pointer.
*/
operator NodePtr() { return node;}
};
//////////////////////////////////////////////////////////////////////
//
// Binning Interface
//
//////////////////////////////////////////////////////////////////////
class BinBase
{
private:
char *mem;
protected:
off_t memsize;
off_t size() const { return memsize; }
char *memory();
public:
BinBase();
virtual ~BinBase();
};
} // namespace Detail
class GenBin : public Detail::BinBase
{
public:
GenBin() : BinBase() {}
virtual ~GenBin() {};
virtual void activate() = 0;
void regBin(GenBin *bin, std::string name);
};
template <class BinType>
struct StatBin : public GenBin
{
private:
std::string _name;
public:
std::string name() const { return _name;}
static StatBin *&curBin() {
static StatBin *current = NULL;
return current;
}
static void setCurBin(StatBin *bin) { curBin() = bin; }
static StatBin *current() { assert(curBin()); return curBin(); }
static off_t &offset() {
static off_t offset = 0;
return offset;
}
static off_t new_offset(size_t size) {
size_t mask = sizeof(u_int64_t) - 1;
off_t off = offset();
// That one is for the last trailing flags byte.
offset() += (size + 1 + mask) & ~mask;
return off;
}
explicit StatBin(std::string name) : GenBin() { _name = name; this->regBin(this, name); }
char *memory(off_t off) {
if (memsize == -1) {
memsize = CeilPow2((size_t) offset());
}
assert(offset() <= size());
return Detail::BinBase::memory() + off;
}
virtual void activate() { setCurBin(this); }
static void activate(StatBin &bin) { setCurBin(&bin); }
class BinBase
{
private:
int offset;
public:
BinBase() : offset(-1) {}
void allocate(size_t size) {
offset = new_offset(size);
}
char *access() {
assert(offset != -1);
return current()->memory(offset);
}
};
template <class Storage>
class Bin : public BinBase
{
public:
typedef typename Storage::Params Params;
public:
enum { binned = true };
Bin() { allocate(sizeof(Storage)); }
bool initialized() const { return true; }
void init(const Params &params) { }
int size() const { return 1; }
Storage *data(const Params &params) {
assert(initialized());
char *ptr = access();
char *flags = ptr + sizeof(Storage);
if (!(*flags & 0x1)) {
*flags |= 0x1;
new (ptr) Storage(params);
}
return reinterpret_cast<Storage *>(ptr);
}
void reset()
{
char *ptr = access();
char *flags = ptr + size() * sizeof(Storage);
if (!(*flags & 0x1))
return;
Storage *s = reinterpret_cast<Storage *>(ptr);
s->reset();
}
};
template <class Storage>
class VectorBin : public BinBase
{
public:
typedef typename Storage::Params Params;
private:
int _size;
public:
enum { binned = true };
VectorBin() : _size(0) {}
bool initialized() const { return _size > 0; }
void init(int s, const Params &params) {
assert(!initialized());
assert(s > 0);
_size = s;
allocate(_size * sizeof(Storage));
}
int size() const { return _size; }
Storage *data(int index, const Params &params) {
assert(initialized());
assert(index >= 0 && index < size());
char *ptr = access();
char *flags = ptr + size() * sizeof(Storage);
if (!(*flags & 0x1)) {
*flags |= 0x1;
for (int i = 0; i < size(); ++i)
new (ptr + i * sizeof(Storage)) Storage(params);
}
return reinterpret_cast<Storage *>(ptr + index * sizeof(Storage));
}
void reset()
{
char *ptr = access();
char *flags = ptr + size() * sizeof(Storage);
if (!(*flags & 0x1))
return;
for (int i = 0; i < _size; ++i) {
char *p = ptr + i * sizeof(Storage);
Storage *s = reinterpret_cast<Storage *>(p);
s->reset();
}
}
};
};
class MainBinType {};
typedef StatBin<MainBinType> MainBin;
struct NoBin
{
template <class Storage>
struct Bin
{
public:
typedef typename Storage::Params Params;
enum { binned = false };
private:
char ptr[sizeof(Storage)];
public:
~Bin()
{
reinterpret_cast<Storage *>(ptr)->~Storage();
}
bool initialized() const { return true; }
void init(const Params &params) {
new (ptr) Storage(params);
}
int size() const{ return 1; }
Storage *data(const Params &params) {
assert(initialized());
return reinterpret_cast<Storage *>(ptr);
}
void reset()
{
Storage *s = reinterpret_cast<Storage *>(ptr);
s->reset();
}
};
template <class Storage>
struct VectorBin
{
public:
typedef typename Storage::Params Params;
enum { binned = false };
private:
char *ptr;
int _size;
public:
VectorBin() : ptr(NULL) { }
~VectorBin()
{
if (!initialized())
return;
for (int i = 0; i < _size; ++i) {
char *p = ptr + i * sizeof(Storage);
reinterpret_cast<Storage *>(p)->~Storage();
}
delete [] ptr;
}
bool initialized() const { return ptr != NULL; }
void init(int s, const Params &params) {
assert(s > 0 && "size must be positive!");
assert(!initialized());
_size = s;
ptr = new char[_size * sizeof(Storage)];
for (int i = 0; i < _size; ++i)
new (ptr + i * sizeof(Storage)) Storage(params);
}
int size() const { return _size; }
Storage *data(int index, const Params &params) {
assert(initialized());
assert(index >= 0 && index < size());
return reinterpret_cast<Storage *>(ptr + index * sizeof(Storage));
}
void reset()
{
for (int i = 0; i < _size; ++i) {
char *p = ptr + i * sizeof(Storage);
Storage *s = reinterpret_cast<Storage *>(p);
s->reset();
}
}
};
};
//////////////////////////////////////////////////////////////////////
//
// Visible Statistics Types
//
//////////////////////////////////////////////////////////////////////
/**
* @defgroup VisibleStats "Statistic Types"
* These are the statistics that are used in the simulator. By default these
* store counters and don't use binning, but are templatized to accept any type
* and any Bin class.
* @{
*/
/**
* This is an easy way to assign all your stats to be binned or not binned. If the typedef
* is NoBin, nothing is binned. If it is MainBin (or whatever *Bin), then all stats are binned
* under that Bin.
*/
typedef NoBin DefaultBin;
/**
* This is a simple scalar statistic, like a counter.
* @sa Stat, ScalarBase, StatStor
*/
template <typename T = Counter, class Bin = DefaultBin>
class Scalar : public Detail::ScalarBase<T, Detail::StatStor, Bin>
{
public:
/** The base implementation. */
typedef Detail::ScalarBase<T, Detail::StatStor, Bin> Base;
/**
* Sets the stat equal to the given value. Calls the base implementation
* of operator=
* @param v The new value.
*/
template <typename U>
void operator=(const U& v) { Base::operator=(v); }
};
/**
* A stat that calculates the per cycle average of a value.
* @sa Stat, ScalarBase, AvgStor
*/
template <typename T = Counter, class Bin = DefaultBin>
class Average : public Detail::ScalarBase<T, Detail::AvgStor, Bin>
{
public:
/** The base implementation. */
typedef Detail::ScalarBase<T, Detail::AvgStor, Bin> Base;
/**
* Sets the stat equal to the given value. Calls the base implementation
* of operator=
* @param v The new value.
*/
template <typename U>
void operator=(const U& v) { Base::operator=(v); }
};
/**
* A vector of scalar stats.
* @sa Stat, VectorBase, StatStor
*/
template <typename T = Counter, class Bin = DefaultBin>
class Vector : public Detail::VectorBase<T, Detail::StatStor, Bin>
{ };
/**
* A vector of Average stats.
* @sa Stat, VectorBase, AvgStor
*/
template <typename T = Counter, class Bin = DefaultBin>
class AverageVector : public Detail::VectorBase<T, Detail::AvgStor, Bin>
{ };
/**
* A 2-Dimensional vecto of scalar stats.
* @sa Stat, Vector2dBase, StatStor
*/
template <typename T = Counter, class Bin = DefaultBin>
class Vector2d : public Detail::Vector2dBase<T, Detail::StatStor, Bin>
{ };
/**
* A simple distribution stat.
* @sa Stat, DistBase, DistStor
*/
template <typename T = Counter, class Bin = DefaultBin>
class Distribution : public Detail::DistBase<T, Detail::DistStor, Bin>
{
private:
/** Base implementation. */
typedef Detail::DistBase<T, Detail::DistStor, Bin> Base;
/** The Parameter type. */
typedef typename Detail::DistStor<T>::Params Params;
public:
/**
* Set the parameters of this distribution. @sa DistStor::Params
* @param min The minimum value of the distribution.
* @param max The maximum value of the distribution.
* @param bkt The number of values in each bucket.
* @return A reference to this distribution.
*/
Distribution &init(T min, T max, int bkt) {
params.min = min;
params.max = max;
params.bucket_size = bkt;
params.size = (max - min) / bkt + 1;
bin.init(params);
setInit();
return *this;
}
};
/**
* Calculates the mean and variance of all the samples.
* @sa Stat, DistBase, FancyStor
*/
template <typename T = Counter, class Bin = DefaultBin>
class StandardDeviation : public Detail::DistBase<T, Detail::FancyStor, Bin>
{
private:
/** The base implementation */
typedef Detail::DistBase<T, Detail::DistStor, Bin> Base;
/** The parameter type. */
typedef typename Detail::DistStor<T>::Params Params;
public:
/**
* Construct and initialize this distribution.
*/
StandardDeviation() {
bin.init(params);
setInit();
}
};
/**
* Calculates the per cycle mean and variance of the samples.
* @sa Stat, DistBase, AvgFancy
*/
template <typename T = Counter, class Bin = DefaultBin>
class AverageDeviation : public Detail::DistBase<T, Detail::AvgFancy, Bin>
{
private:
/** The base implementation */
typedef Detail::DistBase<T, Detail::DistStor, Bin> Base;
/** The parameter type. */
typedef typename Detail::DistStor<T>::Params Params;
public:
/**
* Construct and initialize this distribution.
*/
AverageDeviation() {
bin.init(params);
setInit();
}
};
/**
* A vector of distributions.
* @sa Stat, VectorDistBase, DistStor
*/
template <typename T = Counter, class Bin = DefaultBin>
class VectorDistribution
: public Detail::VectorDistBase<T, Detail::DistStor, Bin>
{
private:
/** The base implementation */
typedef Detail::VectorDistBase<T, Detail::DistStor, Bin> Base;
/** The parameter type. */
typedef typename Detail::DistStor<T>::Params Params;
public:
/**
* Initialize storage and parameters for this distribution.
* @param size The size of the vector (the number of distributions).
* @param min The minimum value of the distribution.
* @param max The maximum value of the distribution.
* @param bkt The number of values in each bucket.
* @return A reference to this distribution.
*/
VectorDistribution &init(int size, T min, T max, int bkt) {
params.min = min;
params.max = max;
params.bucket_size = bkt;
params.size = (max - min) / bkt + 1;
bin.init(size, params);
setInit();
return *this;
}
};
/**
* This is a vector of StandardDeviation stats.
* @sa Stat, VectorDistBase, FancyStor
*/
template <typename T = Counter, class Bin = DefaultBin>
class VectorStandardDeviation
: public Detail::VectorDistBase<T, Detail::FancyStor, Bin>
{
private:
/** The base implementation */
typedef Detail::VectorDistBase<T, Detail::FancyStor, Bin> Base;
/** The parameter type. */
typedef typename Detail::DistStor<T>::Params Params;
public:
/**
* Initialize storage for this distribution.
* @param size The size of the vector.
* @return A reference to this distribution.
*/
VectorStandardDeviation &init(int size) {
bin.init(size, params);
setInit();
return *this;
}
};
/**
* This is a vector of AverageDeviation stats.
* @sa Stat, VectorDistBase, AvgFancy
*/
template <typename T = Counter, class Bin = DefaultBin>
class VectorAverageDeviation
: public Detail::VectorDistBase<T, Detail::AvgFancy, Bin>
{
private:
/** The base implementation */
typedef Detail::VectorDistBase<T, Detail::AvgFancy, Bin> Base;
/** The parameter type. */
typedef typename Detail::DistStor<T>::Params Params;
public:
/**
* Initialize storage for this distribution.
* @param size The size of the vector.
* @return A reference to this distribution.
*/
VectorAverageDeviation &init(int size) {
bin.init(size, params);
setInit();
return *this;
}
};
/**
* A formula for statistics that is calculated when printed. A formula is
* stored as a tree of Nodes that represent the equation to calculate.
* @sa Stat, ScalarStat, VectorStat, Node, Detail::Temp
*/
class Formula : public Detail::VectorStat
{
private:
/** The root of the tree which represents the Formula */
Detail::NodePtr root;
friend class Statistics::Detail::Temp;
public:
/**
* Create and initialize thie formula, and register it with the database.
*/
Formula() : VectorStat(true) { setInit(); }
/**
* Create a formula with the given root node, register it with the
* database.
* @param r The root of the expression tree.
*/
Formula(Detail::Temp r) : VectorStat(true) {
root = r;
assert(size());
}
/**
* Set an unitialized Formula to the given root.
* @param r The root of the expression tree.
* @return a reference to this formula.
*/
const Formula &operator=(Detail::Temp r) {
assert(!root && "Can't change formulas");
root = r;
assert(size());
return *this;
}
/**
* Add the given tree to the existing one.
* @param r The root of the expression tree.
* @return a reference to this formula.
*/
const Formula &operator+=(Detail::Temp r) {
using namespace Detail;
if (root)
root = NodePtr(new BinaryNode<std::plus<result_t> >(root, r));
else
root = r;
assert(size());
return *this;
}
/**
* Return the result of the Fomula in a vector. If there were no Vector
* components to the Formula, then the vector is size 1. If there were,
* like x/y with x being a vector of size 3, then the result returned will
* be x[0]/y, x[1]/y, x[2]/y, respectively.
* @return The result vector.
*/
const rvec_t &val() const { return root->val(); }
/**
* Return the total Formula result. If there is a Vector component to this
* Formula, then this is the result of the Formula if the formula is applied
* after summing all the components of the Vector. For example, if Formula
* is x/y where x is size 3, then total() will return (x[1]+x[2]+x[3])/y. If there is no
* Vector component, total() returns the same value as the first entry in the rvec_t
* val() returns.
* @return The total of the result vector.
*/
result_t total() const { return root->total(); }
/**
* Return the number of elements in the tree.
*/
size_t size() const {
if (!root)
return 0;
else
return root->size();
}
/**
* Return true if Formula is binned. i.e. any of its children nodes are binned
*@return True if Formula is binned.
*/
virtual bool binned() const { return root->binned(); }
/**
* Formulas don't need to be reset
*/
virtual void reset() {}
};
/**
* @}
*/
void check();
void dump(std::ostream &stream);
void reset();
void RegResetCallback(Callback *cb);
inline Detail::Temp
operator+(Detail::Temp l, Detail::Temp r)
{
using namespace Detail;
return NodePtr(new BinaryNode<std::plus<result_t> >(l, r));
}
inline Detail::Temp
operator-(Detail::Temp l, Detail::Temp r)
{
using namespace Detail;
return NodePtr(new BinaryNode<std::minus<result_t> >(l, r));
}
inline Detail::Temp
operator*(Detail::Temp l, Detail::Temp r)
{
using namespace Detail;
return NodePtr(new BinaryNode<std::multiplies<result_t> >(l, r));
}
inline Detail::Temp
operator/(Detail::Temp l, Detail::Temp r)
{
using namespace Detail;
return NodePtr(new BinaryNode<std::divides<result_t> >(l, r));
}
inline Detail::Temp
operator%(Detail::Temp l, Detail::Temp r)
{
using namespace Detail;
return NodePtr(new BinaryNode<std::modulus<result_t> >(l, r));
}
inline Detail::Temp
operator-(Detail::Temp l)
{
using namespace Detail;
return NodePtr(new UnaryNode<std::negate<result_t> >(l));
}
template <typename T>
inline Detail::Temp
constant(T val)
{
using namespace Detail;
return NodePtr(new ConstNode<T>(val));
}
template <typename T>
inline Detail::Temp
functor(T &val)
{
using namespace Detail;
return NodePtr(new FunctorNode<T>(val));
}
template <typename T>
inline Detail::Temp
scalar(T &val)
{
using namespace Detail;
return NodePtr(new ScalarNode<T>(val));
}
inline Detail::Temp
sum(Detail::Temp val)
{
using namespace Detail;
return NodePtr(new SumNode<std::plus<result_t> >(val));
}
extern bool PrintDescriptions;
} // namespace statistics
#endif // __STATISTICS_HH__
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