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added INTEL_parallel-make.patch, MPI-LIBLINEAR-2.11-intel-2017a.eb
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m/MPI-LIBLINEAR/INTEL_parallel-make.patch
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m/MPI-LIBLINEAR/INTEL_parallel-make.patch
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#This patch fixes the detection of Intel MPI C++ and C compilers.
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#made by PERMON team (http://permon.it4i.cz/)
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--- Makefile.orig 2016-11-08 06:23:58.000000000 +0100
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+++ Makefile 2017-04-24 15:17:54.000000000 +0200
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@@ -1,5 +1,5 @@
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-CXX = mpic++
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-CC = mpicc
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+CXX = mpiicpc
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+CC = mpiicc
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CFLAGS = -Wall -Wconversion -O3 -fPIC
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LIBS = blas/blas.a
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SHVER = 3
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m/MPI-LIBLINEAR/MPI-LIBLINEAR-2.11-intel-2017a.eb
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m/MPI-LIBLINEAR/MPI-LIBLINEAR-2.11-intel-2017a.eb
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easyblock = 'MakeCp'
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name = 'MPI-LIBLINEAR'
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version = '2.1-1'
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homepage = 'https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/distributed-liblinear/mpi/'
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description = """MPI LIBLINEAR is an extension of LIBLINEAR on distributed environments. The usage and the data format are the same as LIBLINEAR.
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It supports L2-regularized logistic regression, L2-regularized logistic regression, L2-regularized L2-loss linear SVM (primal trust-region Newton),
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L2-regularized L1-loss linear SVM (dual), L2-regularized logistic regression (primal limited common directions),
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L2-regularized L2-loss linear SVM (primal limited common directions). Module created by the PERMON Team (http://permon.it4i.cz)."""
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toolchain = {'name': 'intel', 'version': '2017a'}
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source_urls = [homepage]
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sources = [SOURCELOWER_ZIP]
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patches = ['INTEL_parallel-make.patch']
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files_to_copy = [(['train', 'predict', 'split.py'], 'bin')]
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sanity_check_paths = {
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'files': ['bin/%s' % x for x in ['train', 'predict', 'split.py']],
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'dirs': [],
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}
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modextrapaths = {
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'PATH': ['bin'],
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}
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moduleclass = 'numlib'
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