Reconciling primitives moved to RAFT

cpp/CMakeLists.txt

@@ -56,7 +56,6 @@ option(BUILD_CUML_MG_TESTS "Build cuML multigpu algorithm tests" OFF)
 option(BUILD_PRIMS_TESTS "Build ml-prim tests" ON)
 option(BUILD_CUML_EXAMPLES "Build C++ API usage examples" ON)
 option(BUILD_CUML_BENCH "Build cuML C++ benchmark tests" ON)
-option(BUILD_CUML_PRIMS_BENCH "Build ml-prims C++ benchmark tests" ON)
 option(BUILD_CUML_STD_COMMS "Build the standard NCCL+UCX Communicator" ON)
 option(BUILD_CUML_MPI_COMMS "Build the MPI+NCCL Communicator (used for testing)" OFF)
 option(CUDA_ENABLE_KERNEL_INFO "Enable kernel resource usage info" OFF)
@@ -80,7 +79,6 @@ message(VERBOSE "CUML_CPP: Building cuML multigpu algorithm tests: ${BUILD_CUML_
 message(VERBOSE "CUML_CPP: Building ml-prims tests: ${BUILD_PRIMS_TESTS}")
 message(VERBOSE "CUML_CPP: Building C++ API usage examples: ${BUILD_CUML_EXAMPLES}")
 message(VERBOSE "CUML_CPP: Building cuML C++ benchmark tests: ${BUILD_CUML_BENCH}")
-message(VERBOSE "CUML_CPP: Building ml-prims C++ benchmark tests: ${BUILD_CUML_PRIMS_BENCH}")
 message(VERBOSE "CUML_CPP: Building the standard NCCL+UCX Communicator: ${BUILD_CUML_STD_COMMS}")
 message(VERBOSE "CUML_CPP: Building the MPI+NCCL Communicator (used for testing): ${BUILD_CUML_MPI_COMMS}")
 message(VERBOSE "CUML_CPP: Enabling detection of conda environment for dependencies: ${DETECT_CONDA_ENV}")
@@ -244,7 +242,7 @@ if(BUILD_CUML_TESTS OR BUILD_PRIMS_TESTS)
   include(cmake/thirdparty/get_gtest.cmake)
 endif()
 
-if(BUILD_CUML_BENCH OR BUILD_CUML_PRIMS_BENCH)
+if(BUILD_CUML_BENCH)
   include(cmake/thirdparty/get_gbench.cmake)
 endif()
 
@@ -692,7 +690,7 @@ rapids_export(BUILD cuml
 ##############################################################################
 # - build benchmark executable -----------------------------------------------
 
-if(BUILD_CUML_BENCH OR BUILD_CUML_PRIMS_BENCH)
+if(BUILD_CUML_BENCH)
   add_subdirectory(bench)
 endif()
 

cpp/bench/CMakeLists.txt

@@ -66,47 +66,4 @@ if(BUILD_CUML_BENCH)
     DESTINATION bin/benchmarks/libcuml
     EXCLUDE_FROM_ALL
   )
-endif()
-
-##############################################################################
-# - build prims bench executable ----------------------------------------------
-
-if(BUILD_CUML_PRIMS_BENCH)
-  # (please keep the filenames in alphabetical order)
-  add_executable(${PRIMS_BENCH_TARGET}
-    prims/gram_matrix.cu
-    prims/main.cpp)
-
-  target_compile_options(${PRIMS_BENCH_TARGET}
-        PRIVATE "$<$<COMPILE_LANGUAGE:CXX>:${CUML_CXX_FLAGS}>"
-                "$<$<COMPILE_LANGUAGE:CUDA>:${CUML_CUDA_FLAGS}>"
-  )
-
-  target_link_libraries(${PRIMS_BENCH_TARGET}
-    PUBLIC
-      cuml::${CUML_CPP_TARGET}
-      benchmark::benchmark
-      ${TREELITE_LIBS}
-      raft::raft
-      raft::nn
-      raft::distance
-  )
-
-  target_include_directories(${PRIMS_BENCH_TARGET}
-    PRIVATE
-      $<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}/../src_prims>
-      $<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}>
-  )
-
-  set_target_properties(
-    ${PRIMS_BENCH_TARGET}
-    PROPERTIES INSTALL_RPATH "\$ORIGIN/../../../lib"
-  )
-
-  install(
-    TARGETS ${PRIMS_BENCH_TARGET}
-    COMPONENT testing
-    DESTINATION bin/benchmarks/libcuml_prims
-    EXCLUDE_FROM_ALL
-  )
-endif()
+endif()

cpp/bench/sg/svc.cu

@@ -14,12 +14,16 @@
  * limitations under the License.
  */
 
+#if defined RAFT_DISTANCE_COMPILED
+#include <raft/distance/specializations.cuh>
+#endif
+
 #include "benchmark.cuh"
 #include <cmath>
-#include <cuml/matrix/kernelparams.h>
 #include <cuml/svm/svc.hpp>
 #include <cuml/svm/svm_model.h>
 #include <cuml/svm/svm_parameter.h>
+#include <raft/distance/kernels.cuh>
 #include <sstream>
 #include <utility>
 
@@ -31,7 +35,7 @@ template <typename D>
 struct SvcParams {
   DatasetParams data;
   BlobsParams blobs;
-  MLCommon::Matrix::KernelParams kernel;
+  raft::distance::kernels::KernelParams kernel;
   ML::SVM::SvmParameter svm_param;
   ML::SVM::SvmModel<D> model;
 };
@@ -74,7 +78,7 @@ class SVC : public BlobsFixture<D, D> {
   }
 
  private:
-  MLCommon::Matrix::KernelParams kernel;
+  raft::distance::kernels::KernelParams kernel;
   ML::SVM::SvmParameter svm_param;
   ML::SVM::SvmModel<D> model;
 };
@@ -102,11 +106,11 @@ std::vector<SvcParams<D>> getInputs()
 
   std::vector<Triplets> rowcols = {{50000, 2, 2}, {2048, 100000, 2}, {50000, 1000, 2}};
 
-  std::vector<MLCommon::Matrix::KernelParams> kernels{
-    MLCommon::Matrix::KernelParams{MLCommon::Matrix::LINEAR, 3, 1, 0},
-    MLCommon::Matrix::KernelParams{MLCommon::Matrix::POLYNOMIAL, 3, 1, 0},
-    MLCommon::Matrix::KernelParams{MLCommon::Matrix::RBF, 3, 1, 0},
-    MLCommon::Matrix::KernelParams{MLCommon::Matrix::TANH, 3, 0.1, 0}};
+  std::vector<raft::distance::kernels::KernelParams> kernels{
+    raft::distance::kernels::KernelParams{raft::distance::kernels::LINEAR, 3, 1, 0},
+    raft::distance::kernels::KernelParams{raft::distance::kernels::POLYNOMIAL, 3, 1, 0},
+    raft::distance::kernels::KernelParams{raft::distance::kernels::RBF, 3, 1, 0},
+    raft::distance::kernels::KernelParams{raft::distance::kernels::TANH, 3, 0.1, 0}};
 
   for (auto& rc : rowcols) {
     p.data.nrows    = rc.nrows;

cpp/bench/sg/svr.cu

@@ -14,13 +14,17 @@
  * limitations under the License.
  */
 
+#if defined RAFT_DISTANCE_COMPILED
+#include <raft/distance/specializations.cuh>
+#endif
+
 #include "benchmark.cuh"
 #include <cmath>
-#include <cuml/matrix/kernelparams.h>
 #include <cuml/svm/svc.hpp>
 #include <cuml/svm/svm_model.h>
 #include <cuml/svm/svm_parameter.h>
 #include <cuml/svm/svr.hpp>
+#include <raft/distance/kernels.cuh>
 #include <utility>
 
 namespace ML {
@@ -31,7 +35,7 @@ template <typename D>
 struct SvrParams {
   DatasetParams data;
   RegressionParams regression;
-  MLCommon::Matrix::KernelParams kernel;
+  raft::distance::kernels::KernelParams kernel;
   ML::SVM::SvmParameter svm_param;
   ML::SVM::SvmModel<D>* model;
 };
@@ -73,7 +77,7 @@ class SVR : public RegressionFixture<D> {
   }
 
  private:
-  MLCommon::Matrix::KernelParams kernel;
+  raft::distance::kernels::KernelParams kernel;
   ML::SVM::SvmParameter svm_param;
   ML::SVM::SvmModel<D>* model;
 };
@@ -104,11 +108,11 @@ std::vector<SvrParams<D>> getInputs()
 
   std::vector<Triplets> rowcols = {{50000, 2, 2}, {1024, 10000, 10}, {3000, 200, 200}};
 
-  std::vector<MLCommon::Matrix::KernelParams> kernels{
-    MLCommon::Matrix::KernelParams{MLCommon::Matrix::LINEAR, 3, 1, 0},
-    MLCommon::Matrix::KernelParams{MLCommon::Matrix::POLYNOMIAL, 3, 1, 0},
-    MLCommon::Matrix::KernelParams{MLCommon::Matrix::RBF, 3, 1, 0},
-    MLCommon::Matrix::KernelParams{MLCommon::Matrix::TANH, 3, 0.1, 0}};
+  std::vector<raft::distance::kernels::KernelParams> kernels{
+    raft::distance::kernels::KernelParams{raft::distance::kernels::LINEAR, 3, 1, 0},
+    raft::distance::kernels::KernelParams{raft::distance::kernels::POLYNOMIAL, 3, 1, 0},
+    raft::distance::kernels::KernelParams{raft::distance::kernels::RBF, 3, 1, 0},
+    raft::distance::kernels::KernelParams{raft::distance::kernels::TANH, 3, 0.1, 0}};
 
   for (auto& rc : rowcols) {
     p.data.nrows               = rc.nrows;

cpp/include/cuml/matrix/kernelparams.h

@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019-2021, NVIDIA CORPORATION.
+ * Copyright (c) 2019-2022, NVIDIA CORPORATION.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -16,26 +16,13 @@
 
 #pragma once
 
+#include <raft/distance/distance_types.hpp>
+
 namespace MLCommon {
 namespace Matrix {
 
-enum KernelType { LINEAR, POLYNOMIAL, RBF, TANH };
-
-/**
- * Parameters for kernel matrices.
- * The following kernels are implemented:
- * - LINEAR \f[ K(x_1,x_2) = <x_1,x_2>, \f] where \f$< , >\f$ is the dot product
- * - POLYNOMIAL \f[ K(x_1, x_2) = (\gamma <x_1,x_2> + \mathrm{coef0})^\mathrm{degree} \f]
- * - RBF \f[ K(x_1, x_2) = \exp(- \gamma |x_1-x_2|^2) \f]
- * - TANH \f[ K(x_1, x_2) = \tanh(\gamma <x_1,x_2> + \mathrm{coef0}) \f]
- */
-struct KernelParams {
-  // Kernel function parameters
-  KernelType kernel;  //!< Type of the kernel function
-  int degree;         //!< Degree of polynomial kernel (ignored by others)
-  double gamma;       //!< multiplier in the
-  double coef0;       //!< additive constant in poly and tanh kernels
-};
+using raft::distance::kernels::KernelParams;
+using raft::distance::kernels::KernelType;
 
 };  // end namespace Matrix
 };  // end namespace MLCommon