Faiss

- Main Page
- Namespaces
- Classes
- Files

- File List

All Classes Namespaces Functions Variables Typedefs Enumerations Enumerator Friends
PerfClustering.cpp
1 /**
2 * Copyright (c) 2015-present, Facebook, Inc.
3 * All rights reserved.
4 *
5 * This source code is licensed under the BSD+Patents license found in the
6 * LICENSE file in the root directory of this source tree.
7 */
8
9 // Copyright 2004-present Facebook. All Rights Reserved.
10
11 #include "../../utils.h"
12 #include "../../Clustering.h"
13 #include "../GpuIndexFlat.h"
14 #include "../StandardGpuResources.h"
15 #include "IndexWrapper.h"
16 #include "../utils/DeviceUtils.h"
17 #include "../utils/Timer.h"
18 #include <gflags/gflags.h>
19 #include <memory>
20 #include <vector>
21
22 #include <cuda_profiler_api.h>
23
24 DEFINE_int32(num, 10000, "# of vecs");
25 DEFINE_int32(k, 100, "# of clusters");
26 DEFINE_int32(dim, 128, "# of dimensions");
27 DEFINE_int32(niter, 10, "# of iterations");
28 DEFINE_bool(L2_metric, true, "If true, use L2 metric. If false, use IP metric");
29 DEFINE_bool(use_float16, false, "use float16 vectors and math");
30 DEFINE_bool(transposed, false, "transposed vector storage");
31 DEFINE_bool(verbose, false, "turn on clustering logging");
32 DEFINE_int64(seed, -1, "specify random seed");
33 DEFINE_int32(num_gpus, 1, "number of gpus to use");
34 DEFINE_int64(min_paging_size, -1, "minimum size to use CPU -> GPU paged copies");
35 DEFINE_int64(pinned_mem, -1, "pinned memory allocation to use");
36 DEFINE_int32(max_points, -1, "max points per centroid");
37
38 using namespace faiss::gpu;
39
40 int main(int argc, char** argv) {
41 gflags::ParseCommandLineFlags(&argc, &argv, true);
42
43 cudaProfilerStop();
44
45 auto seed = FLAGS_seed != -1L ? FLAGS_seed : time(nullptr);
46 printf("using seed %ld\n", seed);
47
48 std::vector<float> vecs((size_t) FLAGS_num * FLAGS_dim);
49 faiss::float_rand(vecs.data(), vecs.size(), seed);
50
51 printf("K-means metric %s dim %d centroids %d num train %d niter %d\n",
52 FLAGS_L2_metric ? "L2" : "IP",
53 FLAGS_dim, FLAGS_k, FLAGS_num, FLAGS_niter);
54 printf("float16 math %s\n", FLAGS_use_float16 ? "enabled" : "disabled");
55 printf("transposed storage %s\n", FLAGS_transposed ? "enabled" : "disabled");
56 printf("verbose %s\n", FLAGS_verbose ? "enabled" : "disabled");
57
58 auto initFn = [](faiss::gpu::GpuResources* res, int dev) ->
59 std::unique_ptr<faiss::gpu::GpuIndexFlat> {
60 if (FLAGS_pinned_mem >= 0) {
61 ((faiss::gpu::StandardGpuResources*) res)->setPinnedMemory(
62 FLAGS_pinned_mem);
63 }
64
65 GpuIndexFlatConfig config;
66 config.device = dev;
67 config.useFloat16 = FLAGS_use_float16;
68 config.storeTransposed = FLAGS_transposed;
69
70 auto p = std::unique_ptr<faiss::gpu::GpuIndexFlat>(
71 FLAGS_L2_metric ?
72 (faiss::gpu::GpuIndexFlat*)
73 new faiss::gpu::GpuIndexFlatL2(res, FLAGS_dim, config) :
74 (faiss::gpu::GpuIndexFlat*)
75 new faiss::gpu::GpuIndexFlatIP(res, FLAGS_dim, config));
76
77 if (FLAGS_min_paging_size >= 0) {
78 p->setMinPagingSize(FLAGS_min_paging_size);
79 }
80 return p;
81 };
82
83 IndexWrapper<faiss::gpu::GpuIndexFlat> gpuIndex(FLAGS_num_gpus, initFn);
84
85 CUDA_VERIFY(cudaProfilerStart());
86 faiss::gpu::synchronizeAllDevices();
87
88 float gpuTime = 0.0f;
89
90 faiss::ClusteringParameters cp;
91 cp.niter = FLAGS_niter;
92 cp.verbose = FLAGS_verbose;
93
94 if (FLAGS_max_points > 0) {
95 cp.max_points_per_centroid = FLAGS_max_points;
96 }
97
98 faiss::Clustering kmeans(FLAGS_dim, FLAGS_k, cp);
99
100 // Time k-means
101 {
102 CpuTimer timer;
103
104 kmeans.train(FLAGS_num, vecs.data(), *(gpuIndex.getIndex()));
105
106 // There is a device -> host copy above, so no need to time
107 // additional synchronization with the GPU
108 gpuTime = timer.elapsedMilliseconds();
109 }
110
111 CUDA_VERIFY(cudaProfilerStop());
112 printf("k-means time %.3f ms\n", gpuTime);
113
114 CUDA_VERIFY(cudaDeviceSynchronize());
115
116 return 0;
117 }
faiss::gpu::CpuTimer::elapsedMilliseconds
float elapsedMilliseconds()
Returns elapsed time in milliseconds.
Definition: Timer.cpp:52
faiss::ClusteringParameters::niter
int niter
clustering iterations
Definition: Clustering.h:25
faiss::gpu::GpuIndexFlatConfig::storeTransposed
bool storeTransposed
Definition: GpuIndexFlat.h:48
faiss::gpu::GpuResources
Definition: GpuResources.h:23
faiss::gpu::CpuTimer
CPU wallclock elapsed timer.
Definition: Timer.h:42
faiss::gpu::GpuIndexFlatConfig::useFloat16
bool useFloat16
Whether or not data is stored as float16.
Definition: GpuIndexFlat.h:35
faiss::gpu::GpuIndexConfig::device
int device
GPU device on which the index is resident.
Definition: GpuIndex.h:27
faiss::gpu::GpuIndexFlatConfig
Definition: GpuIndexFlat.h:27
faiss::Clustering
Definition: Clustering.h:56
faiss::gpu::StandardGpuResources
Definition: StandardGpuResources.h:23
faiss::gpu::GpuIndexFlatIP
Definition: GpuIndexFlat.h:194
faiss::gpu::GpuIndexFlatL2
Definition: GpuIndexFlat.h:169
faiss::ClusteringParameters
Definition: Clustering.h:24
faiss::gpu::GpuIndexFlat
Definition: GpuIndexFlat.h:54
faiss::ClusteringParameters::max_points_per_centroid
int max_points_per_centroid
to limit size of dataset
Definition: Clustering.h:33
faiss::gpu::IndexWrapper
Definition: IndexWrapper.h:25