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build-libcudf.xml
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build-libcudf.xml
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<?xml version="1.0"?>
<!--
Copyright (c) 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.
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.
-->
<project name="libcudf-builder" xmlns:if="ant:if">
<description>
Configures and builds the libcudf library from the cudf submodule.
</description>
<target name="build-libcudf">
<condition property="needConfigure">
<or>
<istrue value="${libcudf.build.configure}"/>
<not>
<available file="${libcudf.build.path}/CMakeCache.txt"/>
</not>
</or>
</condition>
<mkdir dir="${libcudf.install.path}"/>
<mkdir dir="${libcudf.build.path}"/>
<exec dir="${libcudf.build.path}"
failonerror="true"
executable="cmake"
if:true="${needConfigure}">
<arg value="${cudf.path}/cpp"/>
<arg value="-DBUILD_SHARED_LIBS=OFF"/>
<arg value="-DBUILD_TESTS=OFF"/>
<!-- benchmarks in cudf have to be built in order to get the library used
for data generation to build in cudf so that benchmarks in
spark-rapids-jni can link to it. -->
<arg value="-DBUILD_BENCHMARKS=${BUILD_BENCHMARKS}"/>
<arg value="-DCMAKE_CUDA_ARCHITECTURES=${GPU_ARCHS}"/>
<arg value="-DCMAKE_INSTALL_PREFIX=${libcudf.install.path}"/>
<arg value="-DCUDA_STATIC_RUNTIME=ON"/>
<arg value="-DCUDF_ENABLE_ARROW_S3=OFF"/>
<arg value="-DCUDF_ENABLE_ARROW_PARQUET=ON"/>
<arg value="-DCUDF_USE_ARROW_STATIC=ON"/>
<arg value="-DCUDF_USE_PER_THREAD_DEFAULT_STREAM=${CUDF_USE_PER_THREAD_DEFAULT_STREAM}" />
<arg value="-DRMM_LOGGING_LEVEL=${RMM_LOGGING_LEVEL}" />
<arg value="-DUSE_GDS=${USE_GDS}" />
</exec>
<exec dir="${libcudf.build.path}"
failonerror="true"
executable="cmake">
<arg value="--build"/>
<arg value="${libcudf.build.path}"/>
<arg value="--target"/>
<arg value="install"/>
<arg value="-j${CPP_PARALLEL_LEVEL}"/>
</exec>
</target>
</project>