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Update SSD_index.md #258

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Mar 17, 2023
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Update SSD_index.md #258

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5 changes: 2 additions & 3 deletions workflows/SSD_index.md
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Original file line number Diff line number Diff line change
Expand Up @@ -56,8 +56,7 @@ Now build and search the index and measure the recall using ground truth compute
```bash
./tests/utils/compute_groundtruth --data_type float --dist_fn l2 --base_file data/sift/sift_learn.fbin --query_file data/sift/sift_query.fbin --gt_file data/sift/sift_query_learn_gt100 --K 100
# Using 0.003GB search memory budget for 100K vectors implies 32 byte PQ compression
./tests/build_disk_index --data_type float --dist_fn l2 --data_path data/sift/sift_learn.fbin --index_path_prefix data/sift/disk_index_sift_learn_R32_L50_A1.2 -R 32 -L50 -B 0.003 -
M 1
./tests/build_disk_index --data_type float --dist_fn l2 --data_path data/sift/sift_learn.fbin --index_path_prefix data/sift/disk_index_sift_learn_R32_L50_A1.2 -R 32 -L50 -B 0.003 -M 1
./tests/search_disk_index --data_type float --dist_fn l2 --index_path_prefix data/sift/disk_index_sift_learn_R32_L50_A1.2 --query_file data/sift/sift_query.fbin --gt_file data/sift/sift_query_learn_gt100 -K 10 -L 10 20 30 40 50 100 --result_path data/sift/res --num_nodes_to_cache 10000
```

Expand All @@ -72,4 +71,4 @@ The search might be slower on machine with remote SSDs. The output lists the que
40 2 7684.18 8278.83 14714.00 30.78 94.27 99.40
50 2 6421.66 9913.28 16550.00 38.35 116.86 99.63
100 2 3337.98 19107.81 29292.00 76.59 226.88 99.91
```
```