wheels: use system 'tileiras', search site-packages for CMake targets

cpp/CMakeLists.txt

@@ -158,6 +158,16 @@ if(DETECT_CONDA_ENV)
   endif()
 endif()
 
+# ##################################################################################################
+# * find C++ libraries from wheels in site-packages --------------------------------------
+find_package(Python COMPONENTS Interpreter)
+if(Python_FOUND)
+  include(${rapids-cmake-dir}/cython-core/find_prefix_paths.cmake)
+  rapids_cython_find_prefix_paths("${Python_EXECUTABLE}" wheel_prefix_paths)
+  set_property(GLOBAL PROPERTY FIND_LIBRARY_USE_LIB64_PATHS TRUE)
+  list(APPEND CMAKE_PREFIX_PATH ${wheel_prefix_paths})
+endif()
+
 # ##################################################################################################
 # * compiler options ---------------------------------------------------------
 

cpp/cmake/thirdparty/get_cuvs.cmake

@@ -1,14 +1,14 @@
 #=============================================================================
 # cmake-format: off
-# SPDX-FileCopyrightText: Copyright (c) 2024-2025, NVIDIA CORPORATION.
+# SPDX-FileCopyrightText: Copyright (c) 2024-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 # cmake-format: on
 #=============================================================================
 
 set(CUML_MIN_VERSION_cuvs "${CUML_VERSION_MAJOR}.${CUML_VERSION_MINOR}.00")
 
 function(find_and_configure_cuvs)
-    set(oneValueArgs VERSION FORK PINNED_TAG EXCLUDE_FROM_ALL USE_CUVS_STATIC COMPILE_LIBRARY CLONE_ON_PIN)
+    set(oneValueArgs VERSION FORK PINNED_TAG EXCLUDE_FROM_ALL USE_CUVS_STATIC CLONE_ON_PIN)
     cmake_parse_arguments(PKG "${options}" "${oneValueArgs}"
             "${multiValueArgs}" ${ARGN} )
 
@@ -45,7 +45,6 @@ function(find_and_configure_cuvs)
           "BUILD_CAGRA_HNSWLIB OFF"
           "BUILD_CUVS_BENCH OFF"
           "BUILD_MG_ALGOS ${CUVS_BUILD_MG_ALGOS}"
-
     )
 
     if(cuvs_ADDED)
@@ -61,13 +60,12 @@ endfunction()
 # To use a different CUVS locally, set the CMake variable
 # CPM_cuvs_SOURCE=/path/to/local/cuvs
 find_and_configure_cuvs(VERSION          ${CUML_MIN_VERSION_cuvs}
-      FORK             rapidsai
+      FORK             NVIDIA
       PINNED_TAG       ${rapids-cmake-checkout-tag}
       EXCLUDE_FROM_ALL ${CUML_EXCLUDE_CUVS_FROM_ALL}
       # When PINNED_TAG above doesn't match cuml,
       # force local cuvs clone in build directory
       # even if it's already installed.
       CLONE_ON_PIN     ${CUML_CUVS_CLONE_ON_PIN}
-      COMPILE_LIBRARY  ${CUML_CUVS_COMPILED}
       USE_CUVS_STATIC  ${CUML_USE_CUVS_STATIC}
       )

cpp/cmake/thirdparty/get_raft.cmake

@@ -1,6 +1,6 @@
 #=============================================================================
 # cmake-format: off
-# SPDX-FileCopyrightText: Copyright (c) 2021-2025, NVIDIA CORPORATION.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 # cmake-format: on
 #=============================================================================
@@ -56,7 +56,7 @@ endfunction()
 # To use a different RAFT locally, set the CMake variable
 # CPM_raft_SOURCE=/path/to/local/raft
 find_and_configure_raft(VERSION          ${CUML_MIN_VERSION_raft}
-      FORK             rapidsai
+      FORK             NVIDIA
       PINNED_TAG       ${rapids-cmake-checkout-tag}
       EXCLUDE_FROM_ALL ${CUML_EXCLUDE_RAFT_FROM_ALL}
       # When PINNED_TAG above doesn't match cuml,

dependencies.yaml

@@ -457,23 +457,23 @@ dependencies:
               use_cuda_wheels: "true"
             packages:
               - cuda-toolkit==13.3.*
+  # NOTE: 'tileiras' is needed too, but in CI that's provided by a system-installed CTK.
   cutile_python:
     specific:
-      - output_types: requirements
+      - output_types: [requirements, pyproject]
         matrices:
           - matrix:
               cuda: "12.*"
             packages:
           - matrix:
-              cuda: "13.3"
+              cuda: "13.*"
             packages:
-              - cuda-tile
-              - cuda-toolkit[tileiras]==13.3.*
+              - &cutile_python_cu13 cuda-tile
+          # if no matching matrix selectors passed, list the CUDA 13 requirement
+          # (as a source of documentation in the generated pyproject.toml)
           - matrix:
-              cuda: "13.*"
             packages:
-              - cuda-tile
-              - cuda-toolkit[tileiras]==13.*
+              - *cutile_python_cu13
   cuda:
     common:
       - output_types: [conda]

python/cuml/CMakeLists.txt

@@ -23,6 +23,9 @@ project(
   LANGUAGES ${language_list}
 )
 
+# Find C++ libraries from RAPIDS wheels in site-packages.
+set_property(GLOBAL PROPERTY FIND_LIBRARY_USE_LIB64_PATHS TRUE)
+
 set(CMAKE_CXX_STANDARD 20)
 set(CMAKE_CXX_STANDARD_REQUIRED ON)
 

python/libcuml/CMakeLists.txt

@@ -1,6 +1,6 @@
 # =============================================================================
 # cmake-format: off
-# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION.
+# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 # cmake-format: on
 # =============================================================================
@@ -18,6 +18,9 @@ project(
   LANGUAGES CXX CUDA
 )
 
+# Find C++ libraries from RAPIDS wheels in site-packages.
+set_property(GLOBAL PROPERTY FIND_LIBRARY_USE_LIB64_PATHS TRUE)
+
 # Check if cuml is already available. If so, it is the user's responsibility to ensure that the
 # CMake package is also available at build time of the Python cuml package.
 find_package(cuml "${RAPIDS_VERSION}")