5bc15b2d9a
The default library search for a package checks the lib/ and lib64/ directories for libraries before the root prefix, in order to save time when searching for libraries provided by externals (which e.g. may have '/usr/' as their root). This moves that logic into the "find_libraries" utility method so packages implementing their own custom library search logic can benefit from it. This also updates packages which appear to be replicating this logic exactly, replacing it with a single call to "find_libraries".
76 lines
3.7 KiB
Python
76 lines
3.7 KiB
Python
# Copyright 2013-2019 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 import *
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from glob import glob
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from llnl.util.filesystem import LibraryList
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import os
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class Cuda(Package):
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"""CUDA is a parallel computing platform and programming model invented
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by NVIDIA. It enables dramatic increases in computing performance by
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harnessing the power of the graphics processing unit (GPU).
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Note: This package does not currently install the drivers necessary
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to run CUDA. These will need to be installed manually. See:
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https://docs.nvidia.com/cuda/ for details."""
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homepage = "https://developer.nvidia.com/cuda-zone"
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version('10.0.130', sha256='92351f0e4346694d0fcb4ea1539856c9eb82060c25654463bfd8574ec35ee39a', expand=False,
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url="https://developer.nvidia.com/compute/cuda/10.0/Prod/local_installers/cuda_10.0.130_410.48_linux")
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version('9.2.88', 'dd6e33e10d32a29914b7700c7b3d1ca0', expand=False,
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url="https://developer.nvidia.com/compute/cuda/9.2/Prod/local_installers/cuda_9.2.88_396.26_linux")
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version('9.1.85', '67a5c3933109507df6b68f80650b4b4a', expand=False,
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url="https://developer.nvidia.com/compute/cuda/9.1/Prod/local_installers/cuda_9.1.85_387.26_linux")
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version('9.0.176', '7a00187b2ce5c5e350e68882f42dd507', expand=False,
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url="https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/cuda_9.0.176_384.81_linux-run")
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version('8.0.61', '33e1bd980e91af4e55f3ef835c103f9b', expand=False,
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url="https://developer.nvidia.com/compute/cuda/8.0/Prod2/local_installers/cuda_8.0.61_375.26_linux-run")
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version('8.0.44', '6dca912f9b7e2b7569b0074a41713640', expand=False,
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url="https://developer.nvidia.com/compute/cuda/8.0/prod/local_installers/cuda_8.0.44_linux-run")
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version('7.5.18', '4b3bcecf0dfc35928a0898793cf3e4c6', expand=False,
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url="http://developer.download.nvidia.com/compute/cuda/7.5/Prod/local_installers/cuda_7.5.18_linux.run")
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version('6.5.14', '90b1b8f77313600cc294d9271741f4da', expand=False,
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url="http://developer.download.nvidia.com/compute/cuda/6_5/rel/installers/cuda_6.5.14_linux_64.run")
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def setup_environment(self, spack_env, run_env):
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run_env.set('CUDA_HOME', self.prefix)
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def install(self, spec, prefix):
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runfile = glob(join_path(self.stage.source_path, 'cuda*_linux*'))[0]
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chmod = which('chmod')
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chmod('+x', runfile)
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runfile = which(runfile)
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# Note: NVIDIA does not officially support many newer versions of
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# compilers. For example, on CentOS 6, you must use GCC 4.4.7 or
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# older. See:
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# http://docs.nvidia.com/cuda/cuda-installation-guide-linux/#system-requirements
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# https://gist.github.com/ax3l/9489132
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# for details.
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runfile(
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'--silent', # disable interactive prompts
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'--verbose', # create verbose log file
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'--override', # override compiler version checks
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'--toolkit', # install CUDA Toolkit
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'--toolkitpath=%s' % prefix
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)
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@property
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def libs(self):
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libs = find_libraries('libcuda', root=self.prefix, shared=True,
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recursive=True)
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filtered_libs = []
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# CUDA 10.0 provides Compatability libraries for running newer versions
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# of CUDA with older drivers. These do not work with newer drivers.
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for lib in libs:
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if 'compat' not in lib.split(os.sep):
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filtered_libs.append(lib)
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return LibraryList(filtered_libs)
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