forked from mirrors/nixpkgs
101 lines
3.9 KiB
Nix
101 lines
3.9 KiB
Nix
{ stdenv, fetchurl, gfortran, openblas
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, enableCuda ? false, cudatoolkit
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}:
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let
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version = "4.4.4";
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name = "suitesparse-${version}";
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int_t = if openblas.blas64 then "int64_t" else "int32_t";
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SHLIB_EXT = if stdenv.isDarwin then "dylib" else "so";
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in
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stdenv.mkDerivation {
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inherit name;
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src = fetchurl {
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url = "http://faculty.cse.tamu.edu/davis/SuiteSparse/SuiteSparse-${version}.tar.gz";
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sha256 = "1zdn1y0ij6amj7smmcslkqgbqv9yy5cwmbyzqc9v6drzdzllgbpj";
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};
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preConfigure = ''
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mkdir -p $out/lib
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mkdir -p $out/include
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sed -i "SuiteSparse_config/SuiteSparse_config.mk" \
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-e 's/METIS .*$/METIS =/' \
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-e 's/METIS_PATH .*$/METIS_PATH =/' \
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-e '/CHOLMOD_CONFIG/ s/$/-DNPARTITION -DLONGBLAS=${int_t}/' \
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-e '/UMFPACK_CONFIG/ s/$/-DLONGBLAS=${int_t}/'
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''
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+ stdenv.lib.optionalString stdenv.isDarwin ''
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sed -i "SuiteSparse_config/SuiteSparse_config.mk" \
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-e 's/^[[:space:]]*\(LIB = -lm\) -lrt/\1/'
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''
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+ stdenv.lib.optionalString enableCuda ''
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sed -i "SuiteSparse_config/SuiteSparse_config.mk" \
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-e 's|^[[:space:]]*\(CUDA_ROOT =\)|CUDA_ROOT = ${cudatoolkit}|' \
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-e 's|^[[:space:]]*\(GPU_BLAS_PATH =\)|GPU_BLAS_PATH = $(CUDA_ROOT)|' \
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-e 's|^[[:space:]]*\(GPU_CONFIG =\)|GPU_CONFIG = -I$(CUDA_ROOT)/include -DGPU_BLAS -DCHOLMOD_OMP_NUM_THREADS=$(NIX_BUILD_CORES) |' \
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-e 's|^[[:space:]]*\(CUDA_PATH =\)|CUDA_PATH = $(CUDA_ROOT)|' \
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-e 's|^[[:space:]]*\(CUDART_LIB =\)|CUDART_LIB = $(CUDA_ROOT)/lib64/libcudart.so|' \
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-e 's|^[[:space:]]*\(CUBLAS_LIB =\)|CUBLAS_LIB = $(CUDA_ROOT)/lib64/libcublas.so|' \
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-e 's|^[[:space:]]*\(CUDA_INC_PATH =\)|CUDA_INC_PATH = $(CUDA_ROOT)/include/|' \
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-e 's|^[[:space:]]*\(NV20 =\)|NV20 = -arch=sm_20 -Xcompiler -fPIC|' \
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-e 's|^[[:space:]]*\(NV30 =\)|NV30 = -arch=sm_30 -Xcompiler -fPIC|' \
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-e 's|^[[:space:]]*\(NV35 =\)|NV35 = -arch=sm_35 -Xcompiler -fPIC|' \
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-e 's|^[[:space:]]*\(NVCC =\) echo|NVCC = $(CUDA_ROOT)/bin/nvcc|' \
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-e 's|^[[:space:]]*\(NVCCFLAGS =\)|NVCCFLAGS = $(NV20) -O3 -gencode=arch=compute_20,code=sm_20 -gencode=arch=compute_30,code=sm_30 -gencode=arch=compute_35,code=sm_35 -gencode=arch=compute_60,code=sm_60|'
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'';
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makeFlags = [
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"PREFIX=\"$(out)\""
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"INSTALL_LIB=$(out)/lib"
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"INSTALL_INCLUDE=$(out)/include"
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"BLAS=-lopenblas"
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"LAPACK="
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];
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NIX_CFLAGS_COMPILE = stdenv.lib.optionalString stdenv.isDarwin " -DNTIMER";
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postInstall = ''
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# Build and install shared library
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(
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cd "$(mktemp -d)"
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for i in "$out"/lib/lib*.a; do
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ar -x $i
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done
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${if enableCuda then cudatoolkit else stdenv.cc.outPath}/bin/${if enableCuda then "nvcc" else "cc"} *.o ${if stdenv.isDarwin then "-dynamiclib" else "--shared"} -o "$out/lib/libsuitesparse.${SHLIB_EXT}" -lopenblas ${stdenv.lib.optionalString enableCuda "-lcublas"}
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)
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for i in umfpack cholmod amd camd colamd spqr; do
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ln -s libsuitesparse.${SHLIB_EXT} "$out"/lib/lib$i.${SHLIB_EXT}
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done
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# Install documentation
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outdoc=$out/share/doc/${name}
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mkdir -p $outdoc
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cp -r AMD/Doc $outdoc/amd
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cp -r BTF/Doc $outdoc/bft
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cp -r CAMD/Doc $outdoc/camd
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cp -r CCOLAMD/Doc $outdoc/ccolamd
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cp -r CHOLMOD/Doc $outdoc/cholmod
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cp -r COLAMD/Doc $outdoc/colamd
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cp -r CXSparse/Doc $outdoc/cxsparse
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cp -r KLU/Doc $outdoc/klu
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cp -r LDL/Doc $outdoc/ldl
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cp -r RBio/Doc $outdoc/rbio
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cp -r SPQR/Doc $outdoc/spqr
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cp -r UMFPACK/Doc $outdoc/umfpack
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'';
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nativeBuildInputs = [ gfortran ];
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buildInputs = [ openblas ];
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meta = with stdenv.lib; {
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homepage = http://faculty.cse.tamu.edu/davis/suitesparse.html;
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description = "A suite of sparse matrix algorithms";
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license = with licenses; [ bsd2 gpl2Plus lgpl21Plus ];
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maintainers = with maintainers; [ ttuegel ];
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platforms = with platforms; unix;
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};
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}
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