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# Copyright 2013-2021 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)
# ----------------------------------------------------------------------------\
from spack.pkg.builtin.libflame import LibflameBase
class Amdlibflame(LibflameBase):
"""libFLAME (AMD Optimized version) is a portable library for
dense matrix computations, providing much of the functionality
present in Linear Algebra Package (LAPACK). It includes a
compatibility layer, FLAPACK, which includes complete LAPACK
implementation.
The library provides scientific and numerical computing communities
with a modern, high-performance dense linear algebra library that is
extensible, easy to use, and available under an open source
license. libFLAME is a C-only implementation and does not
depend on any external FORTRAN libraries including LAPACK.
There is an optional backward compatibility layer, lapack2flame
that maps LAPACK routine invocations to their corresponding
native C implementations in libFLAME. This allows legacy
applications to start taking advantage of libFLAME with
virtually no changes to their source code.
In combination with BLIS library which includes optimizations
for the AMD EPYC processor family, libFLAME enables running
high performing LAPACK functionalities on AMD platform.
"""
_name = 'amdlibflame'
homepage = "https://developer.amd.com/amd-cpu-libraries/blas-library/#libflame"
url = "https://github.com/amd/libflame/archive/3.0.tar.gz"
git = "https://github.com/amd/libflame.git"
maintainers = ['amd-toolchain-support']
version('3.0', sha256='d94e08b688539748571e6d4c1ec1ce42732eac18bd75de989234983c33f01ced')
version('2.2', sha256='12b9c1f92d2c2fa637305aaa15cf706652406f210eaa5cbc17aaea9fcfa576dc')
patch('aocc-2.2.0.patch', when="@:2.999", level=1)
patch('cray-compiler-wrapper.patch')
provides('flame@5.2', when='@2:')
@property
def lapack_libs(self):
"""find lapack_libs function"""
shared = True if '+shared' in self.spec else False
return find_libraries(
'libflame', root=self.prefix, shared=shared, recursive=True
)
def configure_args(self):
"""configure_args function"""
args = super(Amdlibflame, self).configure_args()
args.append("--enable-external-lapack-interfaces")
"""To enabled Fortran to C calling convention for
complex types when compiling with aocc flang"""
if "@3.0: %aocc" in self.spec:
args.append("--enable-f2c-dotc")
return args
def install(self, spec, prefix):
"""make install function"""
# make install in parallel fails with message 'File already exists'
make("install", parallel=False)
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