44 lines
1.4 KiB
Python
44 lines
1.4 KiB
Python
# Copyright 2013-2024 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack.package import *
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from spack.pkg.builtin.boost import Boost
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class Libcudf(CMakePackage):
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"""Built based on the Apache Arrow columnar memory format,
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cuDF is a GPU DataFrame library for loading, joining,
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aggregating, filtering, and otherwise manipulating data."""
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homepage = "https://rapids.ai"
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url = "https://github.com/rapidsai/cudf/archive/v0.15.0.tar.gz"
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license("Apache-2.0")
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version("0.15.0", sha256="2570636b72cce4c52f71e36307f51f630e2f9ea94a1abc018d40ce919ba990e4")
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depends_on("cmake@3.14:", type="build")
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depends_on("cuda@10.0:")
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# TODO: replace this with an explicit list of components of Boost,
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# for instance depends_on('boost +filesystem')
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# See https://github.com/spack/spack/pull/22303 for reference
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depends_on(Boost.with_default_variants)
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depends_on("arrow+cuda+orc+parquet")
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depends_on("librmm")
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depends_on("dlpack")
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root_cmakelists_dir = "cpp"
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def cmake_args(self):
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args = []
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# args.append('-DGPU_ARCHES')
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args.append("-DUSE_NVTX=ON")
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args.append("-DBUILD_BENCHMARKS=OFF")
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args.append("-DDISABLE_DEPRICATION_WARNING=ON")
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args.append("-DPER_THREAD_DEFAULT_STREAM=OFF")
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return args
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