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new file: c/cuDNN/cuDNN-7.5.0.56-fosscuda-2019a.eb new file: n/NCCL/NCCL-2.4.2-gcccuda-2019a.eb modified: o/OpenMPI/OpenMPI-3.0.1-GCC-6.3.0-2.27-nvidia.eb new file: o/OpenMPI/OpenMPI-3.1.4-GCC-6.3.0-2.27-nvidia.eb new file: t/Tensorflow/TensorFlow-1.13.1-fosscuda-2019a-Py-3.6.eb deleted: c/cuDNN/cuDNN-7.5-CUDA-10.0.130.eb
35 lines
1.2 KiB
Plaintext
35 lines
1.2 KiB
Plaintext
##
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# This file is an EasyBuild reciPY as per https://github.com/easybuilders/easybuild
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#
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# OriginalAuthor: Stephane Thiell <sthiell@stanford.edu>
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# Author: Ake Sandgren <ake.sandgren@hpc2n.umu.se>
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##
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easyblock = 'Tarball'
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# The full version of the library can be found using
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# strings -a cuda/lib64/libcudnn_static.a | grep cudnn_version_
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name = 'cuDNN'
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version = '7.5.0.56'
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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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# fosscuda 2018b uses CUDA 9.2
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toolchain = {'name': 'fosscuda', 'version': '2019a'}
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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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# Unpack the downloaded tar file.
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# Then rename as:
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# v=`strings -a cuda/lib64/libcudnn_static.a | grep cudnn_version_ | cut -d_ -f3-6 | tr _ .`
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# mv cudnn-9.2-linux-x64-v7.1.tgz cudnn-9.2-linux-x64-v$v.tgz
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sources = ['%(namelower)s-9.2-linux-x64-v%(version)s.tgz']
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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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