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Reduce CAGRA test runtime #602

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Merged
rapids-bot merged 7 commits into from
Jan 27, 2025
Merged

Reduce CAGRA test runtime #602

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a6ee19e
Proposal to reduce CAGRA test runtime.
bdice Jan 22, 2025
916c469
Update cpp/test/neighbors/ann_cagra.cuh
bdice Jan 23, 2025
cb79e83
Test CAGRA addnode and filtering on a limeted set of inputs, reduce t…
tfeher Jan 23, 2025
344eb43
Merge remote-tracking branch 'upstream/branch-25.02' into cagra-test-…
bdice Jan 24, 2025
e3423e6
Remove extra test.
bdice Jan 24, 2025
4809576
Remove InnerProduct tests for compressed dataset cpp/test/neighbors/a…
achirkin Jan 27, 2025
b5220df
Merge branch 'branch-25.02' into cagra-test-reduction-proposal
achirkin Jan 27, 2025
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160 changes: 80 additions & 80 deletions cpp/test/neighbors/ann_cagra.cuh
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Original file line number Diff line number Diff line change
Expand Up @@ -905,7 +905,7 @@ inline std::vector<AnnCagraInputs> generate_inputs()
{0},
{256},
{1},
{cuvs::distance::DistanceType::L2Expanded},
{cuvs::distance::DistanceType::L2Expanded, cuvs::distance::DistanceType::InnerProduct},
{false},
{true},
{0.995});
Expand Down Expand Up @@ -966,21 +966,21 @@ inline std::vector<AnnCagraInputs> generate_inputs()
inputs.insert(inputs.end(), inputs2.begin(), inputs2.end());

// Varying n_rows, host_dataset
inputs2 =
raft::util::itertools::product<AnnCagraInputs>({100},
{10000},
{32},
{10},
{graph_build_algo::AUTO},
{search_algo::AUTO},
{10},
{0}, // team_size
{64},
{1},
{cuvs::distance::DistanceType::L2Expanded},
{false, true},
{false},
{0.985});
inputs2 = raft::util::itertools::product<AnnCagraInputs>(
{100},
{10000},
{32},
{10},
{graph_build_algo::AUTO},
{search_algo::AUTO},
{10},
{0}, // team_size
{64},
{1},
{cuvs::distance::DistanceType::L2Expanded, cuvs::distance::DistanceType::InnerProduct},
{false, true},
{false},
{0.985});
inputs.insert(inputs.end(), inputs2.begin(), inputs2.end());

// A few PQ configurations.
Expand Down Expand Up @@ -1014,40 +1014,40 @@ inline std::vector<AnnCagraInputs> generate_inputs()

// Refinement options
// Varying host_dataset, ivf_pq_search_refine_ratio
inputs2 =
raft::util::itertools::product<AnnCagraInputs>({100},
{5000},
{32, 64},
{16},
{graph_build_algo::IVF_PQ},
{search_algo::AUTO},
{10},
{0}, // team_size
{64},
{1},
{cuvs::distance::DistanceType::L2Expanded},
{false, true},
{false},
{0.99},
{1.0f, 2.0f, 3.0f});
inputs2 = raft::util::itertools::product<AnnCagraInputs>(
{100},
{5000},
{32, 64},
{16},
{graph_build_algo::IVF_PQ},
{search_algo::AUTO},
{10},
{0}, // team_size
{64},
{1},
{cuvs::distance::DistanceType::L2Expanded, cuvs::distance::DistanceType::InnerProduct},
{false, true},
{false},
{0.99},
{1.0f, 2.0f, 3.0f});
inputs.insert(inputs.end(), inputs2.begin(), inputs2.end());

// Varying dim, adding non_owning_memory_buffer_flag
inputs2 =
raft::util::itertools::product<AnnCagraInputs>({100},
{1000},
{1, 5, 8, 64, 137, 256, 619, 1024}, // dim
{10},
{graph_build_algo::IVF_PQ},
{search_algo::AUTO},
{10},
{0}, // team_size
{64},
{1},
{cuvs::distance::DistanceType::L2Expanded},
{false},
{false},
{0.995});
inputs2 = raft::util::itertools::product<AnnCagraInputs>(
{100},
{1000},
{1, 5, 8, 64, 137, 256, 619, 1024}, // dim
{10},
{graph_build_algo::IVF_PQ},
{search_algo::AUTO},
{10},
{0}, // team_size
{64},
{1},
{cuvs::distance::DistanceType::L2Expanded, cuvs::distance::DistanceType::InnerProduct},
{false},
{false},
{0.995});
for (auto input : inputs2) {
input.non_owning_memory_buffer_flag = true;
inputs.push_back(input);
Expand All @@ -1059,38 +1059,38 @@ inline std::vector<AnnCagraInputs> generate_inputs()
inline std::vector<AnnCagraInputs> generate_addnode_inputs()
{
// changing dim
std::vector<AnnCagraInputs> inputs =
raft::util::itertools::product<AnnCagraInputs>({100},
{1000},
{1, 8, 17, 64, 128, 137, 512, 1024}, // dim
{16}, // k
{graph_build_algo::NN_DESCENT},
{search_algo::AUTO},
{10},
{0},
{64},
{1},
{cuvs::distance::DistanceType::L2Expanded},
{false},
{true},
{0.995});
std::vector<AnnCagraInputs> inputs = raft::util::itertools::product<AnnCagraInputs>(
{100},
{1000},
{1, 8, 17, 64, 128, 137, 512, 1024}, // dim
{16}, // k
{graph_build_algo::NN_DESCENT},
{search_algo::AUTO},
{10},
{0},
{64},
{1},
{cuvs::distance::DistanceType::L2Expanded, cuvs::distance::DistanceType::InnerProduct},
{false},
{true},
{0.995});

// testing host and device datasets
auto inputs2 =
raft::util::itertools::product<AnnCagraInputs>({100},
{10000},
{32},
{10},
{graph_build_algo::AUTO},
{search_algo::AUTO},
{10},
{0}, // team_size
{64},
{1},
{cuvs::distance::DistanceType::L2Expanded},
{false, true},
{false},
{0.985});
auto inputs2 = raft::util::itertools::product<AnnCagraInputs>(
{100},
{10000},
{32},
{10},
{graph_build_algo::AUTO},
{search_algo::AUTO},
{10},
{0}, // team_size
{64},
{1},
{cuvs::distance::DistanceType::L2Expanded, cuvs::distance::DistanceType::InnerProduct},
{false, true},
{false},
{0.985});
inputs.insert(inputs.end(), inputs2.begin(), inputs2.end());

// a few PQ configurations
Expand Down Expand Up @@ -1138,7 +1138,7 @@ inline std::vector<AnnCagraInputs> generate_filtering_inputs()
{0},
{256},
{1},
{cuvs::distance::DistanceType::L2Expanded},
{cuvs::distance::DistanceType::L2Expanded, cuvs::distance::DistanceType::InnerProduct},
{false},
{true},
{0.995});
Expand All @@ -1155,7 +1155,7 @@ inline std::vector<AnnCagraInputs> generate_filtering_inputs()
{0},
{256},
{1},
{cuvs::distance::DistanceType::L2Expanded},
{cuvs::distance::DistanceType::L2Expanded, cuvs::distance::DistanceType::InnerProduct},
{false},
{true},
{0.995});
Expand All @@ -1173,7 +1173,7 @@ inline std::vector<AnnCagraInputs> generate_filtering_inputs()
{0},
{64},
{1},
{cuvs::distance::DistanceType::L2Expanded},
{cuvs::distance::DistanceType::L2Expanded, cuvs::distance::DistanceType::InnerProduct},
Comment thread
achirkin marked this conversation as resolved.
{false},
{true},
{0.6}); // don't demand high recall without refinement
Expand Down