-
Notifications
You must be signed in to change notification settings - Fork 26
/
Parser.h
191 lines (167 loc) · 8.92 KB
/
Parser.h
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
#ifndef IVF_HNSW_LIB_PARSER_H
#define IVF_HNSW_LIB_PARSER_H
#include <cstring>
#include <iostream>
//==============
// Parser Class
//==============
struct Parser
{
const char *cmd; ///< main command - argv[0]
//=================
// HNSW parameters
//=================
size_t M; ///< Min number of edges per point
size_t efConstruction; ///< Max number of candidate vertices in priority queue to observe during construction
//=================
// Data parameters
//=================
size_t nb; ///< Number of base vectors
size_t nt; ///< Number of learn vectors
size_t nsubt; ///< Number of learn vectors to train (random subset of the learn set)
size_t nc; ///< Number of centroids for HNSW quantizer
size_t nsubc; ///< Number of subcentroids per group
size_t nq; ///< Number of queries
size_t ngt; ///< Number of groundtruth neighbours per query
size_t d; ///< Vector dimension
//=================
// PQ parameters
//=================
size_t code_size; ///< Code size per vector in bytes
bool do_opq; ///< Turn on/off OPQ fine encoding
//===================
// Search parameters
//===================
size_t k; ///< Number of the closest vertices to search
size_t nprobe; ///< Number of probes at query time
size_t max_codes; ///< Max number of codes to visit to do a query
size_t efSearch; ///< Max number of candidate vertices in priority queue to observe during searching
bool do_pruning; ///< Turn on/off pruning in the grouping scheme
//=======
// Paths
//=======
const char *path_base; ///< Path to a base set
const char *path_learn; ///< Path to a learn set
const char *path_q; ///< Path to queries
const char *path_gt; ///< Path to groundtruth
const char *path_centroids; ///< Path to coarse centroids
const char *path_precomputed_idxs; ///< Path to coarse centroid indices for base points
const char *path_info; ///< Path to parameters of HNSW graph
const char *path_edges; ///< Path to edges of HNSW graph
const char *path_pq; ///< Path to the product quantizer for residuals
const char *path_opq_matrix; ///< Path to OPQ rotation matrix for OPQ fine encoding
const char *path_norm_pq; ///< Path to the product quantizer for norms of reconstructed base points
const char *path_index; ///< Path to the constructed index
Parser(int argc, char **argv)
{
cmd = argv[0];
if (argc == 1)
usage();
for (size_t i = 1 ; i < argc; i++) {
char *a = argv[i];
if (!strcmp (a, "-h") || !strcmp (a, "--help"))
usage();
if (i == argc-1)
break;
//=================
// HNSW parameters
//=================
if (!strcmp (a, "-M")) sscanf(argv[++i], "%zu", &M);
else if (!strcmp (a, "-efConstruction")) sscanf(argv[++i], "%zu", &efConstruction);
//=================
// Data parameters
//=================
else if (!strcmp (a, "-nb")) sscanf(argv[++i], "%zu", &nb);
else if (!strcmp (a, "-nc")) sscanf(argv[++i], "%zu", &nc);
else if (!strcmp (a, "-nsubc")) sscanf(argv[++i], "%zu", &nsubc);
else if (!strcmp (a, "-nt")) sscanf(argv[++i], "%zu", &nt);
else if (!strcmp (a, "-nsubt")) sscanf(argv[++i], "%zu", &nsubt);
else if (!strcmp (a, "-nq")) sscanf(argv[++i], "%zu", &nq);
else if (!strcmp (a, "-ngt")) sscanf(argv[++i], "%zu", &ngt);
else if (!strcmp (a, "-d")) sscanf(argv[++i], "%zu", &d);
//===============
// PQ parameters
//===============
else if (!strcmp (a, "-code_size"))sscanf(argv[++i], "%zu", &code_size);
else if (!strcmp (a, "-opq")) do_opq = !strcmp(argv[++i], "on");
//===================
// Search parameters
//===================
else if (!strcmp (a, "-k")) sscanf(argv[++i], "%zu", &k);
else if (!strcmp (a, "-nprobe")) sscanf(argv[++i], "%zu", &nprobe);
else if (!strcmp (a, "-max_codes")) sscanf(argv[++i], "%zu", &max_codes);
else if (!strcmp (a, "-efSearch")) sscanf(argv[++i], "%zu", &efSearch);
else if (!strcmp (a, "-pruning")) do_pruning = !strcmp(argv[++i], "on");
//=======
// Paths
//=======
else if (!strcmp (a, "-path_base")) path_base = argv[++i];
else if (!strcmp (a, "-path_learn")) path_learn = argv[++i];
else if (!strcmp (a, "-path_q")) path_q = argv[++i];
else if (!strcmp (a, "-path_gt")) path_gt = argv[++i];
else if (!strcmp (a, "-path_centroids")) path_centroids = argv[++i];
else if (!strcmp (a, "-path_precomputed_idx")) path_precomputed_idxs = argv[++i];
else if (!strcmp (a, "-path_info")) path_info = argv[++i];
else if (!strcmp (a, "-path_edges")) path_edges = argv[++i];
else if (!strcmp (a, "-path_pq")) path_pq = argv[++i];
else if (!strcmp (a, "-path_opq_matrix")) path_opq_matrix = argv[++i];
else if (!strcmp (a, "-path_norm_pq")) path_norm_pq = argv[++i];
else if (!strcmp (a, "-path_index")) path_index = argv[++i];
}
}
void usage()
{
printf ("Usage: %s [options]\n", cmd);
printf ("###################\n"
"# HNSW Parameters #\n"
"###################\n"
" -M # Min number of edges per point\n"
" -efConstruction # Max number of candidate vertices in priority queue to observe during construction\n"
"###################\n"
"# Data Parameters #\n"
"###################\n"
" -nb # Number of base vectors\n"
" -nt # Number of learn vectors\n"
" -nsubt # Number of learn vectors to train (random subset of the learn set)\n"
" -nc # Number of centroids for HNSW quantizer\n"
" -nsubc # Number of subcentroids per group\n"
" -nq # Number of queries\n"
" -ngt # Number of groundtruth neighbours per query\n"
" -d # Vector dimension\n"
"#################\n"
"# PQ Parameters #\n"
"#################\n"
" -code_size # Code size per vector in bytes\n"
" -opq on/off Turn on/off OPQ compression\n"
"####################\n"
"# Search Parameters #\n"
"#####################\n"
" -k # Number of the closest vertices to search\n"
" -nprobe # Number of probes at query time\n"
" -max_codes # Max number of codes to visit to do a query\n"
" -efSearch # Max number of candidate vertices in priority queue to observe during searching\n"
" -pruning on/off Turn on/off pruning in the grouping scheme\n"
"#########\n"
"# Paths #\n"
"#########\n"
" -path_base filename Path to a base set\n"
" -path_learn filename Path to a learn set\n"
" -path_q filename Path to queries\n"
" -path_gt filename Path to groundtruth\n"
" -path_centroids filename Path to coarse centroids\n"
" \n"
" -path_precomputed_idxs filename Path to coarse centroid indices for base points\n"
" \n"
" -path_info filename Path to parameters of HNSW graph\n"
" -path_edges filename Path to edges of HNSW graph\n"
" \n"
" -path_pq filename Path to the product quantizer for residuals\n"
" -path_opq_matrix filename Path to the rotation matrix for OPQ compression\n"
" -path_norm_pq filename Path to the product quantizer for norms of reconstructed base points\n"
" "
" -path_index filename Path to the constructed index\n"
);
exit(0);
}
};
#endif //IVF_HNSW_LIB_PARSER_H