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Merge remote-tracking branch 'origin/branch-22.06' into feature/skbuild
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@vyasr
vyasr committed May 12, 2022
2 parents fb28a5d + ef625e8 commit 2729be0
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Showing 7 changed files with 151 additions and 67 deletions.
3 changes: 3 additions & 0 deletions cpp/include/raft/spatial/knn/ball_cover_common.h
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Original file line number Diff line number Diff line change
Expand Up @@ -56,6 +56,7 @@ class BallCoverIndex {
R_indptr(sqrt(m_) + 1, handle.get_stream()),
R_1nn_cols(m_, handle.get_stream()),
R_1nn_dists(m_, handle.get_stream()),
R_closest_landmark_dists(m_, handle.get_stream()),
R(sqrt(m_) * n_, handle.get_stream()),
R_radius(sqrt(m_), handle.get_stream()),
index_trained(false)
Expand All @@ -67,6 +68,7 @@ class BallCoverIndex {
value_t* get_R_1nn_dists() { return R_1nn_dists.data(); }
value_t* get_R_radius() { return R_radius.data(); }
value_t* get_R() { return R.data(); }
value_t* get_R_closest_landmark_dists() { return R_closest_landmark_dists.data(); }
const value_t* get_X() { return X; }

bool is_index_trained() const { return index_trained; };
Expand All @@ -89,6 +91,7 @@ class BallCoverIndex {
rmm::device_uvector<value_idx> R_indptr;
rmm::device_uvector<value_idx> R_1nn_cols;
rmm::device_uvector<value_t> R_1nn_dists;
rmm::device_uvector<value_t> R_closest_landmark_dists;

rmm::device_uvector<value_t> R_radius;

Expand Down
75 changes: 52 additions & 23 deletions cpp/include/raft/spatial/knn/detail/ball_cover.cuh
View file
Original file line number Diff line number Diff line change
Expand Up @@ -122,6 +122,11 @@ void construct_landmark_1nn(const raft::handle_t& handle,
{
rmm::device_uvector<value_idx> R_1nn_inds(index.m, handle.get_stream());

thrust::fill(handle.get_thrust_policy(),
R_1nn_inds.data(),
R_1nn_inds.data() + index.m,
std::numeric_limits<value_idx>::max());

value_idx* R_1nn_inds_ptr = R_1nn_inds.data();
value_t* R_1nn_dists_ptr = index.get_R_1nn_dists();

Expand Down Expand Up @@ -168,19 +173,19 @@ void k_closest_landmarks(const raft::handle_t& handle,
std::vector<value_t*> input = {index.get_R()};
std::vector<std::uint32_t> sizes = {index.n_landmarks};

brute_force_knn_impl<std::uint32_t, std::int64_t>(handle,
input,
sizes,
index.n,
const_cast<value_t*>(query_pts),
n_query_pts,
R_knn_inds,
R_knn_dists,
k,
true,
true,
nullptr,
index.metric);
brute_force_knn_impl<value_int, value_idx>(handle,
input,
sizes,
index.n,
const_cast<value_t*>(query_pts),
n_query_pts,
R_knn_inds,
R_knn_dists,
k,
true,
true,
nullptr,
index.metric);
}

/**
Expand Down Expand Up @@ -333,16 +338,15 @@ void rbc_build_index(const raft::handle_t& handle,
ASSERT(!index.is_index_trained(), "index cannot be previously trained");

rmm::device_uvector<value_idx> R_knn_inds(index.m, handle.get_stream());
rmm::device_uvector<value_t> R_knn_dists(index.m, handle.get_stream());

// Initialize the uvectors
thrust::fill(handle.get_thrust_policy(),
R_knn_inds.begin(),
R_knn_inds.end(),
std::numeric_limits<value_idx>::max());
thrust::fill(handle.get_thrust_policy(),
R_knn_dists.begin(),
R_knn_dists.end(),
index.get_R_closest_landmark_dists(),
index.get_R_closest_landmark_dists() + index.m,
std::numeric_limits<value_t>::max());

/**
Expand All @@ -354,16 +358,21 @@ void rbc_build_index(const raft::handle_t& handle,
* 2. Perform knn = bfknn(X, R, k)
*/
value_int k = 1;
k_closest_landmarks(
handle, index, index.get_X(), index.m, k, R_knn_inds.data(), R_knn_dists.data());
k_closest_landmarks(handle,
index,
index.get_X(),
index.m,
k,
R_knn_inds.data(),
index.get_R_closest_landmark_dists());

/**
* 3. Create L_r = knn[:,0].T (CSR)
*
* Slice closest neighboring R
* Secondary sort by (R_knn_inds, R_knn_dists)
*/
construct_landmark_1nn(handle, R_knn_inds.data(), R_knn_dists.data(), k, index);
construct_landmark_1nn(handle, R_knn_inds.data(), index.get_R_closest_landmark_dists(), k, index);

/**
* Compute radius of each R for filtering: p(q, r) <= p(q, q_r) + radius(r)
Expand Down Expand Up @@ -406,6 +415,11 @@ void rbc_all_knn_query(const raft::handle_t& handle,
R_knn_dists.end(),
std::numeric_limits<value_t>::max());

thrust::fill(
handle.get_thrust_policy(), inds, inds + (k * index.m), std::numeric_limits<value_idx>::max());
thrust::fill(
handle.get_thrust_policy(), dists, dists + (k * index.m), std::numeric_limits<value_t>::max());

// For debugging / verification. Remove before releasing
rmm::device_uvector<value_int> dists_counter(index.m, handle.get_stream());
rmm::device_uvector<value_int> post_dists_counter(index.m, handle.get_stream());
Expand Down Expand Up @@ -459,8 +473,8 @@ void rbc_knn_query(const raft::handle_t& handle,
ASSERT(index.n_landmarks >= k, "number of landmark samples must be >= k");
ASSERT(index.is_index_trained(), "index must be previously trained");

rmm::device_uvector<value_idx> R_knn_inds(k * index.m, handle.get_stream());
rmm::device_uvector<value_t> R_knn_dists(k * index.m, handle.get_stream());
rmm::device_uvector<value_idx> R_knn_inds(k * n_query_pts, handle.get_stream());
rmm::device_uvector<value_t> R_knn_dists(k * n_query_pts, handle.get_stream());

// Initialize the uvectors
thrust::fill(handle.get_thrust_policy(),
Expand All @@ -472,13 +486,28 @@ void rbc_knn_query(const raft::handle_t& handle,
R_knn_dists.end(),
std::numeric_limits<value_t>::max());

thrust::fill(handle.get_thrust_policy(),
inds,
inds + (k * n_query_pts),
std::numeric_limits<value_idx>::max());
thrust::fill(handle.get_thrust_policy(),
dists,
dists + (k * n_query_pts),
std::numeric_limits<value_t>::max());

k_closest_landmarks(handle, index, query, n_query_pts, k, R_knn_inds.data(), R_knn_dists.data());

// For debugging / verification. Remove before releasing
rmm::device_uvector<value_int> dists_counter(index.m, handle.get_stream());
rmm::device_uvector<value_int> post_dists_counter(index.m, handle.get_stream());
thrust::fill(
handle.get_thrust_policy(), post_dists_counter.data(), post_dists_counter.data() + index.m, 0);
thrust::fill(handle.get_thrust_policy(),
post_dists_counter.data(),
post_dists_counter.data() + post_dists_counter.size(),
0);
thrust::fill(handle.get_thrust_policy(),
dists_counter.data(),
dists_counter.data() + dists_counter.size(),
0);

perform_rbc_query(handle,
index,
Expand Down
22 changes: 11 additions & 11 deletions cpp/include/raft/spatial/knn/detail/ball_cover/registers.cuh
View file
Original file line number Diff line number Diff line change
Expand Up @@ -160,7 +160,7 @@ __global__ void compute_final_dists_registers(const value_t* X_index,
const value_int n_cols,
bitset_type* bitset,
value_int bitset_size,
const value_t* R_knn_dists,
const value_t* R_closest_landmark_dists,
const value_idx* R_indptr,
const value_idx* R_1nn_inds,
const value_t* R_1nn_dists,
Expand Down Expand Up @@ -200,12 +200,12 @@ __global__ void compute_final_dists_registers(const value_t* X_index,
value_int i = threadIdx.x;
for (; i < n_k; i += tpb) {
value_idx ind = knn_inds[blockIdx.x * k + i];
heap.add(knn_dists[blockIdx.x * k + i], R_knn_dists[ind * k], ind);
heap.add(knn_dists[blockIdx.x * k + i], R_closest_landmark_dists[ind], ind);
}

if (i < k) {
value_idx ind = knn_inds[blockIdx.x * k + i];
heap.addThreadQ(knn_dists[blockIdx.x * k + i], R_knn_dists[ind * k], ind);
heap.addThreadQ(knn_dists[blockIdx.x * k + i], R_closest_landmark_dists[ind], ind);
}

heap.checkThreadQ();
Expand Down Expand Up @@ -616,12 +616,12 @@ void rbc_low_dim_pass_two(const raft::handle_t& handle,
{
const value_int bitset_size = ceil(index.n_landmarks / 32.0);

rmm::device_uvector<std::uint32_t> bitset(bitset_size * index.m, handle.get_stream());
rmm::device_uvector<std::uint32_t> bitset(bitset_size * n_query_rows, handle.get_stream());
thrust::fill(handle.get_thrust_policy(), bitset.data(), bitset.data() + bitset.size(), 0);

perform_post_filter_registers<value_idx, value_t, value_int, dims, 128>
<<<n_query_rows, 128, bitset_size * sizeof(std::uint32_t), handle.get_stream()>>>(
index.get_X(),
query,
index.n,
R_knn_inds,
R_knn_dists,
Expand Down Expand Up @@ -649,7 +649,7 @@ void rbc_low_dim_pass_two(const raft::handle_t& handle,
index.n,
bitset.data(),
bitset_size,
R_knn_dists,
index.get_R_closest_landmark_dists(),
index.get_R_indptr(),
index.get_R_1nn_cols(),
index.get_R_1nn_dists(),
Expand All @@ -674,7 +674,7 @@ void rbc_low_dim_pass_two(const raft::handle_t& handle,
index.n,
bitset.data(),
bitset_size,
R_knn_dists,
index.get_R_closest_landmark_dists(),
index.get_R_indptr(),
index.get_R_1nn_cols(),
index.get_R_1nn_dists(),
Expand All @@ -699,7 +699,7 @@ void rbc_low_dim_pass_two(const raft::handle_t& handle,
index.n,
bitset.data(),
bitset_size,
R_knn_dists,
index.get_R_closest_landmark_dists(),
index.get_R_indptr(),
index.get_R_1nn_cols(),
index.get_R_1nn_dists(),
Expand All @@ -724,7 +724,7 @@ void rbc_low_dim_pass_two(const raft::handle_t& handle,
index.n,
bitset.data(),
bitset_size,
R_knn_dists,
index.get_R_closest_landmark_dists(),
index.get_R_indptr(),
index.get_R_1nn_cols(),
index.get_R_1nn_dists(),
Expand All @@ -749,7 +749,7 @@ void rbc_low_dim_pass_two(const raft::handle_t& handle,
index.n,
bitset.data(),
bitset_size,
R_knn_dists,
index.get_R_closest_landmark_dists(),
index.get_R_indptr(),
index.get_R_1nn_cols(),
index.get_R_1nn_dists(),
Expand All @@ -774,7 +774,7 @@ void rbc_low_dim_pass_two(const raft::handle_t& handle,
index.n,
bitset.data(),
bitset_size,
R_knn_dists,
index.get_R_closest_landmark_dists(),
index.get_R_indptr(),
index.get_R_1nn_cols(),
index.get_R_1nn_dists(),
Expand Down
1 change: 0 additions & 1 deletion cpp/test/linalg/divide.cu
View file
Original file line number Diff line number Diff line change
Expand Up @@ -57,7 +57,6 @@ class DivideTest : public ::testing::TestWithParam<raft::linalg::UnaryOpInputs<T
{
raft::random::RngState r(params.seed);
int len = params.len;
RAFT_CUDA_TRY(cudaStreamCreate(&stream));
uniform(handle, r, in.data(), len, T(-1.0), T(1.0));
naiveDivide(out_ref.data(), in.data(), params.scalar, len, stream);
divideScalar(out.data(), in.data(), params.scalar, len, stream);
Expand Down
52 changes: 38 additions & 14 deletions cpp/test/spatial/ball_cover.cu
View file
Original file line number Diff line number Diff line change
Expand Up @@ -58,6 +58,17 @@ __global__ void count_discrepancies_kernel(value_idx* actual_idx,
value_t d = actual[row * n + i] - expected[row * n + i];
bool matches = (fabsf(d) <= thres) || (actual_idx[row * n + i] == expected_idx[row * n + i] &&
actual_idx[row * n + i] == row);

if (!matches) {
printf(
"row=%ud, n=%ud, actual_dist=%f, actual_ind=%ld, expected_dist=%f, expected_ind=%ld\n",
row,
i,
actual[row * n + i],
actual_idx[row * n + i],
expected[row * n + i],
expected_idx[row * n + i]);
}
n_diffs += !matches;
out[row] = n_diffs;
}
Expand Down Expand Up @@ -149,20 +160,29 @@ class BallCoverKNNQueryTest : public ::testing::TestWithParam<BallCoverInputs> {
rmm::device_uvector<value_t> X(params.n_rows * params.n_cols, handle.get_stream());
rmm::device_uvector<uint32_t> Y(params.n_rows, handle.get_stream());

// Make sure the train and query sets are completely disjoint
rmm::device_uvector<value_t> X2(params.n_query * params.n_cols, handle.get_stream());
rmm::device_uvector<uint32_t> Y2(params.n_query, handle.get_stream());

raft::random::make_blobs(
X.data(), Y.data(), params.n_rows, params.n_cols, n_centers, handle.get_stream());

raft::random::make_blobs(
X2.data(), Y2.data(), params.n_query, params.n_cols, n_centers, handle.get_stream());

rmm::device_uvector<value_idx> d_ref_I(params.n_query * k, handle.get_stream());
rmm::device_uvector<value_t> d_ref_D(params.n_query * k, handle.get_stream());

if (metric == raft::distance::DistanceType::Haversine) {
thrust::transform(
handle.get_thrust_policy(), X.data(), X.data() + X.size(), X.data(), ToRadians());
thrust::transform(
handle.get_thrust_policy(), X2.data(), X2.data() + X2.size(), X2.data(), ToRadians());
}

compute_bfknn(handle,
X.data(),
X.data(),
X2.data(),
params.n_rows,
params.n_query,
params.n_cols,
Expand All @@ -171,7 +191,7 @@ class BallCoverKNNQueryTest : public ::testing::TestWithParam<BallCoverInputs> {
d_ref_D.data(),
d_ref_I.data());

RAFT_CUDA_TRY(cudaStreamSynchronize(handle.get_stream()));
handle.sync_stream();

// Allocate predicted arrays
rmm::device_uvector<value_idx> d_pred_I(params.n_query * k, handle.get_stream());
Expand All @@ -182,9 +202,9 @@ class BallCoverKNNQueryTest : public ::testing::TestWithParam<BallCoverInputs> {

raft::spatial::knn::rbc_build_index(handle, index);
raft::spatial::knn::rbc_knn_query(
handle, index, k, X.data(), params.n_query, d_pred_I.data(), d_pred_D.data(), true, weight);
handle, index, k, X2.data(), params.n_query, d_pred_I.data(), d_pred_D.data(), true, weight);

RAFT_CUDA_TRY(cudaStreamSynchronize(handle.get_stream()));
handle.sync_stream();
// What we really want are for the distances to match exactly. The
// indices may or may not match exactly, depending upon the ordering which
// can be nondeterministic.
Expand Down Expand Up @@ -254,7 +274,7 @@ class BallCoverAllKNNTest : public ::testing::TestWithParam<BallCoverInputs> {
d_ref_D.data(),
d_ref_I.data());

RAFT_CUDA_TRY(cudaStreamSynchronize(handle.get_stream()));
handle.sync_stream();

// Allocate predicted arrays
rmm::device_uvector<value_idx> d_pred_I(params.n_rows * k, handle.get_stream());
Expand All @@ -266,7 +286,7 @@ class BallCoverAllKNNTest : public ::testing::TestWithParam<BallCoverInputs> {
raft::spatial::knn::rbc_all_knn_query(
handle, index, k, d_pred_I.data(), d_pred_D.data(), true, weight);

RAFT_CUDA_TRY(cudaStreamSynchronize(handle.get_stream()));
handle.sync_stream();
// What we really want are for the distances to match exactly. The
// indices may or may not match exactly, depending upon the ordering which
// can be nondeterministic.
Expand All @@ -285,7 +305,12 @@ class BallCoverAllKNNTest : public ::testing::TestWithParam<BallCoverInputs> {
k,
discrepancies.data(),
handle.get_stream());
ASSERT_TRUE(res == 0);

// TODO: There seem to be discrepancies here only when
// the entire test suite is executed.
// Ref: https://github.com/rapidsai/raft/issues/
// 1-5 mismatches in 8000 samples is 0.0125% - 0.0625%
ASSERT_TRUE(res <= 5);
}

void SetUp() override {}
Expand All @@ -300,16 +325,15 @@ typedef BallCoverAllKNNTest<int64_t, float> BallCoverAllKNNTestF;
typedef BallCoverKNNQueryTest<int64_t, float> BallCoverKNNQueryTestF;

const std::vector<BallCoverInputs> ballcover_inputs = {
{2, 10000, 2, 1.0, 5000, raft::distance::DistanceType::Haversine},
{11, 10000, 2, 1.0, 5000, raft::distance::DistanceType::Haversine},
{11, 5000, 2, 1.0, 10000, raft::distance::DistanceType::Haversine},
{25, 10000, 2, 1.0, 5000, raft::distance::DistanceType::Haversine},
{2, 10000, 2, 1.0, 5000, raft::distance::DistanceType::L2SqrtUnexpanded},
{2, 5000, 2, 1.0, 10000, raft::distance::DistanceType::Haversine},
{11, 10000, 2, 1.0, 5000, raft::distance::DistanceType::L2SqrtUnexpanded},
{25, 10000, 2, 1.0, 5000, raft::distance::DistanceType::L2SqrtUnexpanded},
{2, 10000, 3, 1.0, 5000, raft::distance::DistanceType::L2SqrtUnexpanded},
{11, 10000, 3, 1.0, 5000, raft::distance::DistanceType::L2SqrtUnexpanded},
{25, 10000, 3, 1.0, 5000, raft::distance::DistanceType::L2SqrtUnexpanded},
};
{25, 5000, 2, 1.0, 10000, raft::distance::DistanceType::L2SqrtUnexpanded},
{5, 8000, 3, 1.0, 10000, raft::distance::DistanceType::L2SqrtUnexpanded},
{11, 6000, 3, 1.0, 10000, raft::distance::DistanceType::L2SqrtUnexpanded},
{25, 10000, 3, 1.0, 5000, raft::distance::DistanceType::L2SqrtUnexpanded}};

INSTANTIATE_TEST_CASE_P(BallCoverAllKNNTest,
BallCoverAllKNNTestF,
Expand Down
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