12 #include <faiss/IndexFlat.h>
13 #include <faiss/gpu/GpuAutoTune.h>
14 #include <faiss/gpu/GpuIndexFlat.h>
15 #include <faiss/gpu/StandardGpuResources.h>
16 #include <faiss/gpu/utils/DeviceUtils.h>
24 float *xb =
new float[d * nb];
25 float *xq =
new float[d * nq];
27 for(
int i = 0; i < nb; i++) {
28 for(
int j = 0; j < d; j++)
29 xb[d * i + j] = drand48();
30 xb[d * i] += i / 1000.;
33 for(
int i = 0; i < nq; i++) {
34 for(
int j = 0; j < d; j++)
35 xq[d * i + j] = drand48();
36 xq[d * i] += i / 1000.;
39 int ngpus = faiss::gpu::getNumDevices();
41 printf(
"Number of GPUs: %d\n", ngpus);
43 std::vector<faiss::gpu::GpuResources*> res;
44 std::vector<int> devs;
45 for(
int i = 0; i < ngpus; i++) {
53 faiss::gpu::index_cpu_to_gpu_multiple(
59 printf(
"is_trained = %s\n", gpu_index->
is_trained ?
"true" :
"false");
60 gpu_index->
add(nb, xb);
61 printf(
"ntotal = %ld\n", gpu_index->
ntotal);
66 long *I =
new long[k * nq];
67 float *D =
new float[k * nq];
69 gpu_index->
search(nq, xq, k, D, I);
72 printf(
"I (5 first results)=\n");
73 for(
int i = 0; i < 5; i++) {
74 for(
int j = 0; j < k; j++)
75 printf(
"%5ld ", I[i * k + j]);
79 printf(
"I (5 last results)=\n");
80 for(
int i = nq - 5; i < nq; i++) {
81 for(
int j = 0; j < k; j++)
82 printf(
"%5ld ", I[i * k + j]);
92 for(
int i = 0; i < ngpus; i++) {
virtual void add(idx_t n, const float *x)=0
idx_t ntotal
total nb of indexed vectors
virtual void search(idx_t n, const float *x, idx_t k, float *distances, idx_t *labels) const =0
bool is_trained
set if the Index does not require training, or if training is done already