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/apps/u/gcc/4.8.5/intel/18.0.1-7cbw2rp/include/complex(77): error #308: member "std::complex<float>::_M_value" (declared at line 1187 of "/usr/include/c++/4.8.5/complex") is inaccessible
_M_value = __z._M_value;
...
compilation aborted for sptree.cpp (code 2)
make: *** [sptree.o] Error 2
ERROR: compilation failed for package ‘Rtsne’
* removing ‘/pfs/tsfs1/home/salexan5/R/intel/3.6/Rtsne’
ERROR: dependency ‘Rtsne’ is not available for package ‘labdsv’
* removing ‘/pfs/tsfs1/home/salexan5/R/intel/3.6/labdsv’
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This appears to be a reasonably common problem:
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On Teton we have versions of r (3.6.1/4.0.2) built with the Intel compiler and related MKL (Maths Kernel Library) that follows a request relating to Improving R Performance by installing optimized BLAS/LAPACK libraries.
To use:
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[]$ module load r/4.0.2-intel
[]$ R
R version 4.0.2 (2020-06-22) -- "Taking Off Again"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
> sessionInfo()
R version 4.0.2 (2020-06-22)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Storage
Matrix products: default
BLAS/LAPACK: /pfs/tsfs1/apps/el7-x86_64/u/intel/18.0.1/intel-mkl/2018.2.199-pti6y2y/compilers_and_libraries_2018.2.199/linux/mkl/lib/intel64_lin/libmkl_rt.so
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The Intel built version is dependent on the following modules core:
intel/18.0.1
intel-mkl/2018.2.199
The
module load r/*.*.*-intelline will automatically load these modules for you.
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