From: Lisa Hsu Date: Fri, 10 Oct 2003 19:58:56 +0000 (-0400) Subject: statistics.hh: X-Git-Tag: m5_1.0_beta1~50^2 X-Git-Url: https://git.libre-soc.org/?a=commitdiff_plain;h=86c8eb7b9f190629c9bcbd79a9bd895bf37274d0;p=gem5.git statistics.hh: Grouped the Visible Stats Types and commented them. base/statistics.hh: Grouped the Visible Stats Types and commented them. --HG-- extra : convert_revision : b5ef457a8c3f26ce5d614e3517bb0a5a4e063202 --- diff --git a/base/statistics.hh b/base/statistics.hh index d9545ec9c..9296f2aaa 100644 --- a/base/statistics.hh +++ b/base/statistics.hh @@ -26,19 +26,21 @@ * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. */ -/* - * @todo - * - * Generalized N-dimensinal vector - * documentation - * fix AvgStor - * key stats - * interval stats - * -- these both can use the same function that prints out a - * specific set of stats - * VectorStandardDeviation totals - * - */ +/** @file */ + +/** +* @todo +* +* Generalized N-dimensinal vector +* documentation +* fix AvgStor +* key stats +* interval stats +* -- these both can use the same function that prints out a +* specific set of stats +* VectorStandardDeviation totals +* +*/ #ifndef __STATISTICS_HH__ #define __STATISTICS_HH__ @@ -51,9 +53,9 @@ #include -#include "sim/host.hh" -#include "base/refcnt.hh" -#include "base/str.hh" +#include "host.hh" +#include "refcnt.hh" +#include "str.hh" #ifndef NAN float __nan(); @@ -89,6 +91,10 @@ namespace Detail { struct StatData; struct SubData; +/** + *The base class of all Stats. This does NOT actually hold all the data, but + *it does provide the means for accessing all the Stats data. + */ class Stat { protected: @@ -1423,38 +1429,74 @@ struct NoBin // Visible Statistics Types // ////////////////////////////////////////////////////////////////////// +/**@defgroup VStats VisibleStatTypes + */ + +/** @ingroup VStats + *This is the simplest counting stat. Default type is Counter, but can be + *anything (like double, int, etc). To bin, just designate the name of the bin + * when declaring. It can be used like a regular Counter. + *Example: Stat<> foo; + *foo += num_foos; + */ template class Scalar : public Detail::ScalarBase { public: typedef Detail::ScalarBase Base; +/** sets Stat equal to value of type U */ template void operator=(const U& v) { Base::operator=(v); } }; +/** @ingroup VStats + *This calculates averages over number of cycles. Additionally, the update per + *cycle is implicit if there is no change. In other words, if you want to know + *the average number of instructions in the IQ per cycle, then you can use this + * stat and not have to update it on cycles where there is no change. + */ template class Average : public Detail::ScalarBase { public: typedef Detail::ScalarBase Base; +/** sets Average equalt to value of type U*/ template void operator=(const U& v) { Base::operator=(v); } }; +/** @ingroup VStats + *This is a vector of type T, ideally suited to track stats across something like + * SMT threads. + */ template class Vector : public Detail::VectorBase { }; +/** @ingroup VStats + *This is a vector of Averages of type T + */ template class AverageVector : public Detail::VectorBase { }; +/** @ingroup VStats + *This is a 2-dimensional vector. Intended usage is for something like tracking a + * Vector stat across another Vector like SMT threads. + */ template class Vector2d : public Detail::Vector2dBase { }; +/** @ingroup VStats + * This is essentially a Vector, but with minor differences. Where a + * Vector's index maps directly to what it's tracking, a Distribution's index can + * map to an arbitrary bucket type. For example, you could map 1-8 to bucket 0 + * of a Distribution, and if ever there are 1-8 instructions within an IQ, increment + * bucket 0. + */ template class Distribution : public Detail::DistBase { @@ -1463,6 +1505,16 @@ class Distribution : public Detail::DistBase typedef typename Detail::DistStor::Params Params; public: + /** + *This must be called to set some data members of the distribution + *as well as to allocate the appropriate storage size. + *@param min The minimum value of the Distribution + *@param max The maximum value of the Distribution (NOT the size!) + *@param bkt The size of the buckets to indicate mapping. I.e. if you have + *min=0, max=15, bkt=8, you will have two buckets, and anything from 0-7 + *will go into bucket 0, and anything from 8-15 be in bucket 1. + *@return the Distribution itself. + */ Distribution &init(T min, T max, int bkt) { params.min = min; params.max = max; @@ -1475,6 +1527,10 @@ class Distribution : public Detail::DistBase } }; +/** @ingroup VStats + *This has the functionality of a standard deviation built into it. Update it + *every cycle, and at the end you will have the standard deviation. + */ template class StandardDeviation : public Detail::DistBase { @@ -1489,6 +1545,10 @@ class StandardDeviation : public Detail::DistBase } }; +/** @ingroup VStats + *This also calculates standard deviations, but there is no need to + *update every cycle if there is no change, the stat will update for you. + */ template class AverageDeviation : public Detail::DistBase { @@ -1503,6 +1563,10 @@ class AverageDeviation : public Detail::DistBase } }; +/** @ingroup VStats + *This is a vector of Distributions. (The complexity increases!). Intended usage + * is for something like tracking a distribution across a vector like SMT threads. + */ template class VectorDistribution : public Detail::VectorDistBase @@ -1512,6 +1576,15 @@ class VectorDistribution typedef typename Detail::DistStor::Params Params; public: + /** + *This must be called to set some data members and allocate storage space. + *@param size The size of the Vector + *@param min The minumum value of the Distribution + *@param max The maximum value of the Distribution (NOT the size) + *@param bkt The range of the bucket. I.e if min=0, max=15, and bkt=8, + *then 0-7 will be bucket 0, and 8-15 will be bucket 1. + *@return return the VectorDistribution itself. + */ VectorDistribution &init(int size, T min, T max, int bkt) { params.min = min; params.max = max; @@ -1524,6 +1597,10 @@ class VectorDistribution } }; +/** @ingroup VStats + *This is a vector of Standard Deviations. Intended usage is for tracking + *Standard Deviations across a vector like SMT threads. + */ template class VectorStandardDeviation : public Detail::VectorDistBase @@ -1533,6 +1610,11 @@ class VectorStandardDeviation typedef typename Detail::DistStor::Params Params; public: + /** This must be called to initialize some data members and allocate + * approprate storage space for the stat. + *@param size The size of the Vector + * @return the VectorStandardDeviation itself. + */ VectorStandardDeviation &init(int size) { bin.init(size, params); setInit(); @@ -1541,6 +1623,10 @@ class VectorStandardDeviation } }; +/** @ingroup VStats + * This is a vector of Average Deviations. Intended usage is for tracking + *Average Deviations across a vector like SMT threads. + */ template class VectorAverageDeviation : public Detail::VectorDistBase @@ -1550,6 +1636,11 @@ class VectorAverageDeviation typedef typename Detail::DistStor::Params Params; public: +/** This must be called to initialize some data members and allocate + * approprate storage space for the stat. + *@param size The size of the Vector + * @return The VectorAverageDeviation itself. + */ VectorAverageDeviation &init(int size) { bin.init(size, params); setInit(); @@ -1558,9 +1649,16 @@ class VectorAverageDeviation } }; +/** @ingroup VStats + *This is a formula type. When defining it, you can just say: + *Formula foo = manchu + 3 / bar; + *The calculations for Formulas are all done at the end of the simulation, this + *really is just a definition of how to calculate at the end. + */ class Formula : public Detail::VectorStat { private: + /** The root of the tree which represents the Formula */ Detail::NodePtr root; friend class Detail::Temp;