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Adding cuCollections to cmake #4011

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2 changes: 2 additions & 0 deletions cpp/CMakeLists.txt
Original file line number Diff line number Diff line change
Expand Up @@ -185,6 +185,7 @@ include(cmake/thirdparty/get_rmm.cmake)
include(cmake/thirdparty/get_faiss.cmake)
include(cmake/thirdparty/get_treelite.cmake)
include(cmake/thirdparty/get_raft.cmake)
include(cmake/thirdparty/get_cuco.cmake)

if(NOT SINGLEGPU)
include(cmake/thirdparty/get_nccl.cmake)
Expand Down Expand Up @@ -337,6 +338,7 @@ if(BUILD_CUML_CPP_LIBRARY)
cuml::Thrust
raft::raft
PRIVATE
cuco::cuco
CUDA::cublas
CUDA::cufft
CUDA::curand
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35 changes: 35 additions & 0 deletions cpp/cmake/thirdparty/get_cuco.cmake
Original file line number Diff line number Diff line change
@@ -0,0 +1,35 @@
#=============================================================================
# Copyright (c) 2021, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#=============================================================================

function(find_and_configure_cuco VERSION)

rapids_cpm_find(cuco ${VERSION}
GLOBAL_TARGETS cuco cuco::cuco
CPM_ARGS
GIT_REPOSITORY https://github.com/NVIDIA/cuCollections.git
GIT_TAG e5e2abe55152608ef449ecf162a1ef52ded19801
OPTIONS "BUILD_TESTS OFF"
"BUILD_BENCHMARKS OFF"
"BUILD_EXAMPLES OFF"
)

if(NOT TARGET cuco::cuco)
add_library(cuco::cuco ALIAS cuco)
endif()

endfunction()

find_and_configure_cuco(0.0.1)
2 changes: 1 addition & 1 deletion python/cuml/test/test_dbscan.py
Original file line number Diff line number Diff line change
Expand Up @@ -86,7 +86,7 @@ def test_dbscan_precomputed(datatype, nrows, max_mbytes_per_batch, out_dtype):

# Precompute distances
Xc = np.array([[complex(p[0], p[1]) for p in X]])
X_dist = np.abs(Xc - Xc.T, dtype=datatype)
X_dist = np.abs(Xc - Xc.T).astype(datatype)

eps = 1
cuml_dbscan = cuDBSCAN(eps=eps, min_samples=2, metric='precomputed',
Expand Down