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new file: c/CNTK/CNTK-2.0-GCC-7.1.0-2.28-Python-3.6.1.eb
new file: k/Keras/.Keras-2.0.5-Theano-0.9.0-Python-3.6.1.eb.swp new file: k/Keras/Keras-2.0.5-Tensorflow-1.2.0-Python-3.6.1.eb new file: k/Keras/Keras-2.0.5-Theano-0.9.0-Python-3.6.1.eb new file: l/libzlib/libzip-1.2.0.eb new file: t/Theano/Theano-0.9.0-Python-3.6.1.eb deleted: k/Keras/Keras-2.0.5-intel-2017a-Python-3.6.1.eb
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c/CNTK/CNTK-2.0-GCC-7.1.0-2.28-Python-3.6.1.eb
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c/CNTK/CNTK-2.0-GCC-7.1.0-2.28-Python-3.6.1.eb
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easyblock = 'PythonPackage'
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name = 'CNTK'
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version = '2.0'
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versionsuffix = '-Python-%(pyver)s'
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homepage = 'https://cntk.ai/'
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description = """The Microsoft Cognitive Toolkit is a unified deep-learning toolkit that describes neural networks as a series of computational steps via a directed graph. In this directed graph, leaf nodes represent input values or network parameters, while other nodes represent matrix operations upon their inputs. CNTK allows to easily realize and combine popular model types such as feed-forward DNNs, convolutional nets (CNNs), and recurrent networks (RNNs/LSTMs). It implements stochastic gradient descent (SGD, error backpropagation) learning with automatic differentiation and parallelization across multiple GPUs and servers. """
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toolchain = {'name': 'GCC', 'version': '7.1.0-2.28'}
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source_urls = ['https://cntk.ai/PythonWheel/CPU-Only']
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sources = ['cntk-%(version)s-cp36-cp36m-linux_x86_64.whl']
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use_pip = True
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unpack_sources = False
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dependencies = [
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('Python', '3.6.1', '', True),
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('OpenMPI', '1.10.7'),
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]
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sanity_check_paths = {
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'files': [],
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'dirs': ['lib/python%(pyshortver)s/site-packages'],
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}
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moduleclass = 'math'
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k/Keras/.Keras-2.0.5-Theano-0.9.0-Python-3.6.1.eb.swp
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k/Keras/.Keras-2.0.5-Theano-0.9.0-Python-3.6.1.eb.swp
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k/Keras/Keras-2.0.5-Tensorflow-1.2.0-Python-3.6.1.eb
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k/Keras/Keras-2.0.5-Tensorflow-1.2.0-Python-3.6.1.eb
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easyblock = 'PythonPackage'
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name = 'Keras'
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version = '2.0.5'
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versionsuffix = '-Tensorflow-1.2.0-Python-%(pyver)s'
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homepage = 'https://keras.io/'
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description = """Keras is a minimalist, highly modular neural networks library, written in Python and
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capable of running on top of either TensorFlow or Theano."""
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toolchain = {'name': 'dummy', 'version': ''}
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source_urls = [PYPI_SOURCE]
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sources = [SOURCE_TAR_GZ]
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use_pip = True
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dependencies = [
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('Python', '3.6.1'),
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('Tensorflow', '1.2.0', '', ('GCC', '7.1.0-2.28')),
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# ('h5py', '2.7.0', '%(versionsuffix)s'), internal Python 3.6.1
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# ('PyYAML', '3.12', versionsuffix), internal Python 3.6.1
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]
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# it defaults to Tensorflow
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modextravars = {'KERAS_BACKEND': 'tensorflow'}
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sanity_check_paths = {
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'files': [],
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'dirs': ['lib/python%(pyshortver)s/site-packages'],
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}
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moduleclass = 'math'
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name = 'Keras'
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version = '2.0.5'
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versionsuffix = '-Python-%(pyver)s'
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versionsuffix = '-Theano-1.2.0-Python-%(pyver)s'
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homepage = 'https://keras.io/'
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description = """Keras is a minimalist, highly modular neural networks library, written in Python and
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capable of running on top of either TensorFlow or Theano."""
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toolchain = {'name': 'GCC', 'version': '7.1.0-2.28'}
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toolchain = {'name': 'dummy', 'version': ''}
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source_urls = [PYPI_SOURCE]
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sources = [SOURCE_TAR_GZ]
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@ -16,8 +16,8 @@ sources = [SOURCE_TAR_GZ]
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use_pip = True
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dependencies = [
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('Python', '3.6.1', '', True),
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('Tensorflow', '1.2.0',),
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('Python', '3.6.1'),
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('Theano', '0.9.0', ''),
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# ('h5py', '2.7.0', '%(versionsuffix)s'), internal Python 3.6.1
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# ('PyYAML', '3.12', versionsuffix), internal Python 3.6.1
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]
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l/libzlib/libzip-1.2.0.eb
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l/libzlib/libzip-1.2.0.eb
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easyblock = 'ConfigureMake'
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name = 'libzip'
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version = '1.2.0'
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homepage = 'https://nih.at/libzip/'
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description = """libzip is a C library for reading, creating, and modifying zip archives.
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Files can be added from data buffers, files, or compressed data copied directly from other
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zip archives. Changes made without closing the archive can be reverted. The API is documented
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by man pages."""
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toolchain = {'name': 'dummy', 'version': ''}
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source_urls = ['https://nih.at/libzip']
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sources = ['%(name)s-%(version)s.tar.gz']
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sanity_check_paths = {
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'files': ['bin/zipcmp', 'bin/zipmerge', 'bin/ziptool'],
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'dirs': ['bin', 'include', 'lib', 'share'],
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}
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moduleclass = 'lib'
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t/Theano/Theano-0.9.0-Python-3.6.1.eb
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t/Theano/Theano-0.9.0-Python-3.6.1.eb
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easyblock = 'PythonPackage'
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name = 'Theano'
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version = '0.9.0'
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versionsuffix = '-Python-%(pyver)s'
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homepage = 'http://deeplearning.net/software/theano'
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description = """Theano is a Python library that allows you to define, optimize,
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and evaluate mathematical expressions involving multi-dimensional arrays efficiently."""
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toolchain = {'name': 'dummy', 'version': ''}
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source_urls = [PYPI_SOURCE]
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sources = [SOURCE_TAR_GZ]
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dependencies = [('Python', '3.6.1')]
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sanity_check_paths = {
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'files': ['bin/theano-cache', 'bin/theano-nose'],
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'dirs': ['lib/python%(pyshortver)s/site-packages'],
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}
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moduleclass = 'math'
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