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modified: c/CUDA/CUDA-8.0.44.eb new file: c/cuDNN/cuDNN-5.1-CUDA-7.5.18.eb modified: i/icc/icc-2013.5.192-GCC-4.8.3.eb modified: i/icc/icc-2015.0.090-GCC-4.9.2.eb modified: i/icc/icc-2015.1.133-GCC-4.9.2.eb modified: i/icc/icc-2015.2.164-GCC-4.9.2.eb modified: i/icc/icc-2015.3.187-GNU-4.9.3-2.25.eb modified: i/icc/icc-2015.5.223-GCC-4.9.3-2.25.eb modified: i/icc/icc-2016.0.109-GCC-4.9.3-2.25.eb modified: i/icc/icc-2016.1.150-GCC-4.9.3-2.25.eb modified: i/ifort/ifort-2013.5.192-GCC-4.8.3.eb modified: i/ifort/ifort-2015.0.090-GCC-4.9.2.eb modified: i/ifort/ifort-2015.1.133-GCC-4.9.2.eb modified: i/ifort/ifort-2015.2.164-GCC-4.9.2.eb modified: i/ifort/ifort-2015.3.187-GNU-4.9.3-2.25.eb modified: i/ifort/ifort-2015.5.223-GCC-4.9.3-2.25.eb modified: i/ifort/ifort-2016.0.109-GCC-4.9.3-2.25.eb modified: i/ifort/ifort-2016.1.150-GCC-4.9.3-2.25.eb modified: i/imkl/imkl-10.2.6.038-32bit.eb modified: i/imkl/imkl-10.2.6.038.eb modified: i/imkl/imkl-10.3.10.319.eb modified: i/imkl/imkl-10.3.12.361.eb modified: i/imkl/imkl-10.3.6.233.eb modified: i/imkl/imkl-11.0.1.117.eb modified: i/imkl/imkl-11.0.2.146.eb modified: i/imkl/imkl-11.0.3.163.eb modified: i/imkl/imkl-11.0.4.183.eb modified: i/imkl/imkl-11.0.5.192.eb modified: i/imkl/imkl-11.1.0.080.eb modified: i/imkl/imkl-11.1.1.106.eb modified: i/imkl/imkl-11.1.2.144-2013.5.192-GCC-4.8.3.eb modified: i/imkl/imkl-11.1.2.144-GCC-4.8.3.eb modified: i/imkl/imkl-11.1.2.144-OpenMPI-1.6.5.eb modified: i/imkl/imkl-11.1.2.144.eb modified: i/imkl/imkl-11.1.3.174.eb modified: i/impi/impi-5.1.2.150-iccifort-2016.1.150-GCC-4.9.3-2.25.eb
36 lines
953 B
Plaintext
36 lines
953 B
Plaintext
##
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# This file is an EasyBuild reciPY as per https://github.com/hpcugent/easybuild
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#
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# Author: Stephane Thiell <sthiell@stanford.edu>
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##
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easyblock = 'Tarball'
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name = 'cuDNN'
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version = '5.1'
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cuda_version = '7.5.18'
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versionsuffix = '-CUDA-%s' % cuda_version
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homepage = 'https://developer.nvidia.com/cudnn'
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description = """The NVIDIA CUDA Deep Neural Network library (cuDNN) is a GPU-accelerated library of primitives for
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deep neural networks."""
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toolchain = {'name': 'dummy', 'version': 'dummy'}
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# Nvidia developer registration required.
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# Download link: https://developer.nvidia.com/rdp/cudnn-download
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sources = ['%(namelower)s-8.0-linux-x64-v%(version)s.tgz']
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dependencies = [('CUDA', cuda_version)]
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#checksums = [
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# '099ca6a9b21b35e32f3408eff2a1c06d', # cudnn-8.0-linux-x64-v5.1.tgz
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#]
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sanity_check_paths = {
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'files': ['include/cudnn.h', 'lib64/libcudnn_static.a'],
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'dirs': ['include', 'lib64'],
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}
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moduleclass = 'numlib'
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