1 | //---------------------------------------------------------------------- |
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2 | // File: perf.cpp |
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3 | // Programmer: Sunil Arya and David Mount |
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4 | // Description: Methods for performance stats |
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5 | // Last modified: 01/04/05 (Version 1.0) |
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6 | //---------------------------------------------------------------------- |
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7 | // Copyright (c) 1997-2005 University of Maryland and Sunil Arya and |
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8 | // David Mount. All Rights Reserved. |
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9 | // |
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10 | // This software and related documentation is part of the Approximate |
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11 | // Nearest Neighbor Library (ANN). This software is provided under |
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12 | // the provisions of the Lesser GNU Public License (LGPL). See the |
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13 | // file ../ReadMe.txt for further information. |
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14 | // |
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15 | // The University of Maryland (U.M.) and the authors make no |
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16 | // representations about the suitability or fitness of this software for |
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17 | // any purpose. It is provided "as is" without express or implied |
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18 | // warranty. |
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19 | //---------------------------------------------------------------------- |
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20 | // History: |
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21 | // Revision 0.1 03/04/98 |
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22 | // Initial release |
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23 | // Revision 1.0 04/01/05 |
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24 | // Changed names to avoid namespace conflicts. |
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25 | // Added flush after printing performance stats to fix bug |
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26 | // in Microsoft Windows version. |
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27 | //---------------------------------------------------------------------- |
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28 | |
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29 | #include <ANN/ANN.h> // basic ANN includes |
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30 | #include <ANN/ANNperf.h> // performance includes |
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31 | |
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32 | using namespace std; // make std:: available |
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33 | |
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34 | //---------------------------------------------------------------------- |
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35 | // Performance statistics |
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36 | // The following data and routines are used for computing |
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37 | // performance statistics for nearest neighbor searching. |
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38 | // Because these routines can slow the code down, they can be |
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39 | // activated and deactiviated by defining the PERF variable, |
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40 | // by compiling with the option: -DPERF |
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41 | //---------------------------------------------------------------------- |
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42 | |
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43 | //---------------------------------------------------------------------- |
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44 | // Global counters for performance measurement |
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45 | //---------------------------------------------------------------------- |
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46 | |
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47 | int ann_Ndata_pts = 0; // number of data points |
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48 | int ann_Nvisit_lfs = 0; // number of leaf nodes visited |
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49 | int ann_Nvisit_spl = 0; // number of splitting nodes visited |
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50 | int ann_Nvisit_shr = 0; // number of shrinking nodes visited |
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51 | int ann_Nvisit_pts = 0; // visited points for one query |
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52 | int ann_Ncoord_hts = 0; // coordinate hits for one query |
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53 | int ann_Nfloat_ops = 0; // floating ops for one query |
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54 | ANNsampStat ann_visit_lfs; // stats on leaf nodes visits |
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55 | ANNsampStat ann_visit_spl; // stats on splitting nodes visits |
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56 | ANNsampStat ann_visit_shr; // stats on shrinking nodes visits |
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57 | ANNsampStat ann_visit_nds; // stats on total nodes visits |
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58 | ANNsampStat ann_visit_pts; // stats on points visited |
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59 | ANNsampStat ann_coord_hts; // stats on coordinate hits |
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60 | ANNsampStat ann_float_ops; // stats on floating ops |
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61 | // |
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62 | ANNsampStat ann_average_err; // average error |
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63 | ANNsampStat ann_rank_err; // rank error |
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64 | |
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65 | //---------------------------------------------------------------------- |
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66 | // Routines for statistics. |
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67 | //---------------------------------------------------------------------- |
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68 | |
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69 | DLL_API void annResetStats(int data_size) // reset stats for a set of queries |
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70 | { |
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71 | ann_Ndata_pts = data_size; |
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72 | ann_visit_lfs.reset(); |
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73 | ann_visit_spl.reset(); |
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74 | ann_visit_shr.reset(); |
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75 | ann_visit_nds.reset(); |
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76 | ann_visit_pts.reset(); |
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77 | ann_coord_hts.reset(); |
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78 | ann_float_ops.reset(); |
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79 | ann_average_err.reset(); |
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80 | ann_rank_err.reset(); |
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81 | } |
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82 | |
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83 | DLL_API void annResetCounts() // reset counts for one query |
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84 | { |
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85 | ann_Nvisit_lfs = 0; |
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86 | ann_Nvisit_spl = 0; |
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87 | ann_Nvisit_shr = 0; |
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88 | ann_Nvisit_pts = 0; |
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89 | ann_Ncoord_hts = 0; |
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90 | ann_Nfloat_ops = 0; |
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91 | } |
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92 | |
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93 | DLL_API void annUpdateStats() // update stats with current counts |
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94 | { |
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95 | ann_visit_lfs += ann_Nvisit_lfs; |
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96 | ann_visit_nds += ann_Nvisit_spl + ann_Nvisit_lfs; |
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97 | ann_visit_spl += ann_Nvisit_spl; |
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98 | ann_visit_shr += ann_Nvisit_shr; |
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99 | ann_visit_pts += ann_Nvisit_pts; |
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100 | ann_coord_hts += ann_Ncoord_hts; |
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101 | ann_float_ops += ann_Nfloat_ops; |
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102 | } |
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103 | |
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104 | // print a single statistic |
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105 | void print_one_stat(char *title, ANNsampStat s, double div) |
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106 | { |
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107 | cout << title << "= [ "; |
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108 | cout.width(9); cout << s.mean()/div << " : "; |
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109 | cout.width(9); cout << s.stdDev()/div << " ]<"; |
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110 | cout.width(9); cout << s.min()/div << " , "; |
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111 | cout.width(9); cout << s.max()/div << " >\n"; |
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112 | } |
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113 | |
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114 | DLL_API void annPrintStats( // print statistics for a run |
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115 | ANNbool validate) // true if average errors desired |
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116 | { |
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117 | cout.precision(4); // set floating precision |
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118 | cout << " (Performance stats: " |
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119 | << " [ mean : stddev ]< min , max >\n"; |
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120 | print_one_stat(" leaf_nodes ", ann_visit_lfs, 1); |
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121 | print_one_stat(" splitting_nodes ", ann_visit_spl, 1); |
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122 | print_one_stat(" shrinking_nodes ", ann_visit_shr, 1); |
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123 | print_one_stat(" total_nodes ", ann_visit_nds, 1); |
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124 | print_one_stat(" points_visited ", ann_visit_pts, 1); |
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125 | print_one_stat(" coord_hits/pt ", ann_coord_hts, ann_Ndata_pts); |
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126 | print_one_stat(" floating_ops_(K) ", ann_float_ops, 1000); |
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127 | if (validate) { |
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128 | print_one_stat(" average_error ", ann_average_err, 1); |
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129 | print_one_stat(" rank_error ", ann_rank_err, 1); |
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130 | } |
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131 | cout.precision(0); // restore the default |
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132 | cout << " )\n"; |
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133 | cout.flush(); |
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134 | } |
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