Getting select_k tests and bench to compile

rapidsai · Nov 8, 2024 · 2885f64 · 2885f64
1 parent 0aecdee
commit 2885f64
Show file tree

Hide file tree

Showing 7 changed files with 5 additions and 1,084 deletions.
diff --git a/cpp/test/matrix/select_k.cuh b/cpp/test/matrix/select_k.cuh
@@ -13,6 +13,7 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
+#pragma once
 
 #include "../test_utils.cuh"
 

diff --git a/cpp/test/matrix/select_large_k.cu b/cpp/test/matrix/select_large_k.cu
@@ -24,11 +24,11 @@ auto inputs_random_largek = testing::Values(select::params{100, 100000, 1000, tr
                                             select::params{100, 100000, 2048, false},
                                             select::params{100, 100000, 1237, true});
 
-using ReferencedRandomFloatSizeT =
+using ReferencedRandomFloatLargeSizeT =
   SelectK<float, int64_t, with_ref<SelectAlgo::kRadix8bits>::params_random>;
-TEST_P(ReferencedRandomFloatSizeT, LargeK) { run(); }  // NOLINT
-INSTANTIATE_TEST_CASE_P(SelectK,                       // NOLINT
-                        ReferencedRandomFloatSizeT,
+TEST_P(ReferencedRandomFloatLargeSizeT, LargeK) { run(); }  // NOLINT
+INSTANTIATE_TEST_CASE_P(SelectK,                            // NOLINT
+                        ReferencedRandomFloatLargeSizeT,
                         testing::Combine(inputs_random_largek,
                                          testing::Values(SelectAlgo::kRadix11bits,
                                                          SelectAlgo::kRadix11bitsExtraPass)));

diff --git a/docs/source/cpp_api.rst b/docs/source/cpp_api.rst
@@ -8,13 +8,10 @@ C++ API
    :maxdepth: 4
 
    cpp_api/core.rst
-   cpp_api/cluster.rst
-   cpp_api/distance.rst
    cpp_api/linalg.rst
    cpp_api/matrix.rst
    cpp_api/mdspan.rst
    cpp_api/mnmg.rst
-   cpp_api/neighbors.rst
    cpp_api/random.rst
    cpp_api/solver.rst
    cpp_api/sparse.rst

diff --git a/docs/source/index.rst b/docs/source/index.rst
@@ -36,16 +36,12 @@ While not exhaustive, the following general categories help summarize the accele
 
    * - Category
      - Examples
-   * - Nearest Neighbors
-     - pairwise distances, vector search, epsilon neighborhoods, neighborhood graph construction
    * - Data Formats
      - sparse & dense, conversions, data generation
    * - Dense Operations
      - linear algebra, matrix and vector operations, slicing, norms, factorization, least squares, svd & eigenvalue problems
    * - Sparse Operations
      - linear algebra, eigenvalue problems, slicing, norms, reductions, factorization, symmetrization, components & labeling
-   * - Basic Clustering
-     - spectral clustering, hierarchical clustering, k-means
    * - Solvers
      - combinatorial optimization, iterative solvers
    * - Statistics
@@ -61,9 +57,6 @@ While not exhaustive, the following general categories help summarize the accele
    build.md
    cpp_api.rst
    pylibraft_api.rst
-   using_libraft.md
-   vector_search_tutorial.md
-   raft_ann_benchmarks.md
    raft_dask_api.rst
    using_raft_comms.rst
    developer_guide.md

diff --git a/docs/source/raft_ann_benchmarks.md b/docs/source/raft_ann_benchmarks.md
diff --git a/docs/source/using_libraft.md b/docs/source/using_libraft.md