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https://code.it4i.cz/sccs/easyconfigs-it4i.git
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Merge branch 'it4i-anselm'
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commit
64a77d19a8
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c/cuDNN/cuDNN-7.0.5-CUDA-9.0.176.eb
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c/cuDNN/cuDNN-7.0.5-CUDA-9.0.176.eb
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easyblock = 'Tarball'
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name = 'cuDNN'
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version = '7.0.5'
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cuda_version = '9.0.176'
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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': ''}
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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 = ['cudnn-9.0-linux-x64-v7.tar.gz']
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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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easyblock = 'PythonPackage'
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name = 'Tensorflow'
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version = '1.6.0rc0'
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versionsuffix = '-CUDA-9.0.176-Python-%(pyver)s'
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homepage = 'https://www.tensorflow.org/'
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description = "An open-source software library for Machine Intelligence"
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toolchain = {'name': 'dummy', 'version': ''}
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pymaj = '3'
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pymin = '6'
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pymajmin = pymaj + pymin
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#source_urls = ['https://pypi.python.org/packages/1f/38/c255432f18005362dd2459e3bff2b2411eb7d02ca09fa20ee1dd1311f69f/']
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sources = [
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'tensorflow-%(version)s-cp36-cp36m-linux_x86_64.whl',
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]
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dependencies = [
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('Python', '%s.%s.1' % (pymaj, pymin)),
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('cuDNN', '7.0.5', '-CUDA-9.0.176' ),
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('GCC', '6.3.0-2.27'),
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]
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use_pip = True
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unpack_sources = False
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sanity_check_paths = {
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'files': ['bin/tensorboard'],
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'dirs': ['lib/python%(pyshortver)s/site-packages'],
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}
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moduleclass = 'lib'
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