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new file: c/CUDA/CUDA-10.1.243.eb new file: c/cuDNN/cuDNN-7.6.4.38-CUDA-10.1.243.eb modified: l/libreadline/libreadline-7.0.eb modified: n/numactl/numactl-2.0.12-GCCcore-8.2.0.eb new file: n/numactl/numactl-2.0.12-GCCcore-8.3.0.eb new file: p/PGI/PGI-19.7-GCC-8.3.0-2.32.eb modified: p/Py/Py-2.7.eb modified: p/Py/Py-3.6.eb new file: p/Python/Python-2.7.17-base.eb modified: p/Python/Python-3.6.8-base.eb new file: p/Python/Python-3.6.9-base.eb
32 lines
897 B
Plaintext
32 lines
897 B
Plaintext
# IT4Innovations 2019
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easyblock = 'Tarball'
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name = 'cuDNN'
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version = '7.6.4.38'
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local_cuda_version = '10.1.243'
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local_cuda_version_major_minor = '.'.join(local_cuda_version.split('.')[:2])
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versionsuffix = '-CUDA-%s' % local_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 = SYSTEM
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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-%s-linux-x64-v%%(version)s.tgz' % local_cuda_version_major_minor]
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checksums = ['457d052f249cb571ebee3eb5ad29685c']
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dependencies = [('CUDA', local_cuda_version)]
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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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