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# Copyright 2013-2023 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
import os
from spack.package import *
class AoclSparse(CMakePackage):
"""AOCL-Sparse is a library that contains basic linear algebra subroutines
for sparse matrices and vectors optimized for AMD EPYC family of processors.
It is designed to be used with C and C++. Current functionality of sparse
library supports SPMV function with CSR and ELLPACK formats.
LICENSING INFORMATION: By downloading, installing and using this software,
you agree to the terms and conditions of the AMD AOCL-Sparse license agreement.
You may obtain a copy of this license agreement from
https://www.amd.com/en/developer/aocl/sparse/sparse-libraries-4-0-eula.html
https://www.amd.com/en/developer/aocl/sparse/sparse-libraries-eula.html
"""
_name = "aocl-sparse"
homepage = "https://developer.amd.com/amd-aocl/aocl-sparse/"
url = "https://github.com/amd/aocl-sparse/archive/3.0.tar.gz"
git = "https://github.com/amd/aocl-sparse.git"
maintainers("amd-toolchain-support")
version("4.0", sha256="68524e441fdc7bb923333b98151005bed39154d9f4b5e8310b5c37de1d69c2c3")
version("3.2", sha256="db7d681a8697d6ef49acf3e97e8bec35b048ce0ad74549c3b738bbdff496618f")
version("3.1", sha256="8536f06095c95074d4297a3d2910654085dd91bce82e116c10368a9f87e9c7b9")
version("3.0", sha256="1d04ba16e04c065051af916b1ed9afce50296edfa9b1513211a7378e1d6b952e")
version("2.2", sha256="33c2ed6622cda61d2613ee63ff12c116a6cd209c62e54307b8fde986cd65f664")
variant(
"build_type",
default="Release",
description="CMake build type",
values=("Debug", "Release"),
)
variant("shared", default=True, description="Build shared library")
variant("ilp64", default=False, description="Build with ILP64 support")
variant("examples", default=False, description="Build sparse examples")
variant("unit_tests", default=False, description="Build sparse unit tests")
variant("benchmarks", default=False, description="Build Build benchmarks")
variant(
"avx",
default=False,
when="@4.0: target=zen4:",
description="Enable experimental AVX512 support",
)
depends_on("boost", when="+benchmarks")
depends_on("boost", when="@2.2")
depends_on("cmake@3.5:", type="build")
@property
def build_directory(self):
"""Returns the directory to use when building the package
:return: directory where to build the package
"""
build_directory = self.stage.source_path
if self.spec.variants["build_type"].value == "Debug":
build_directory = join_path(build_directory, "build", "debug")
else:
build_directory = join_path(build_directory, "build", "release")
return build_directory
def cmake_args(self):
"""Runs ``cmake`` in the build directory"""
spec = self.spec
args = [
"../..",
"-DCMAKE_INSTALL_PREFIX:PATH={0}".format(spec.prefix),
"-DCMAKE_CXX_COMPILER={0}".format(os.path.basename(spack_cxx)),
]
if spec.variants["build_type"].value == "Debug":
args.append("-DCMAKE_BUILD_TYPE=Debug")
else:
args.append("-DCMAKE_BUILD_TYPE=Release")
args.append(self.define_from_variant("BUILD_SHARED_LIBS", "shared"))
args.append(self.define_from_variant("BUILD_CLIENTS_SAMPLES", "examples"))
args.append(self.define_from_variant("BUILD_CLIENTS_TESTS", "unit_tests"))
args.append(self.define_from_variant("BUILD_CLIENTS_BENCHMARKS", "benchmarks"))
args.append(self.define_from_variant("USE_AVX512", "avx"))
if spec.satisfies("@3.0:"):
args.append(self.define_from_variant("BUILD_ILP64", "ilp64"))
return args
@run_after("build")
@on_package_attributes(run_tests=True)
def check(self):
"""Simple test to test the built library by running
one of the aocl-sparse examples, after compiling the
library with benchmarks.
"""
dso_suffix = "so" if "+shared" in self.spec else "a"
if self.spec.variants["build_type"].value == "Debug":
lib_path = join_path(
self.build_directory, "library", "libaoclsparse-d.{0}".format(dso_suffix)
)
else:
lib_path = join_path(
self.build_directory, "library", "libaoclsparse.{0}".format(dso_suffix)
)
test_bench_bin = join_path(self.build_directory, "tests", "staging", "aoclsparse-bench")
test_args = " --function=csrmv --precision=d "
test_args += "--sizem=1000 --sizen=1000 --sizennz=4000 --verify=1 "
os.system(test_bench_bin + test_args + lib_path)
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