Displaying 20 results from an estimated 3000 matches similar to: "Error when compiling R with openblas"
2019 May 08
4
openblas
Hello, macosx 10.13.6, Rdevel r76458
I'm trying to compile against openblas to reproduce an error on the
CRAN check page (my package is clean under winbuilder and all but one
of the checks). I've downloaded and installed openblas 0.3.7 but I
am not 100% sure that it is being used by R.
Using
./configure --with-blas="-lopenblas"
Then running R to discover the PID I get:
2019 May 08
3
openblas
On Wed, 8 May 2019 at 04:52, Peter Langfelder
<peter.langfelder at gmail.com> wrote:
>
> (CCing the R-devel list, maybe someone will have a better answer.)
>
> To be honest, I don't know how to. I wasn't able to configure R to use
> OpenBLAS using the configure script and options on my Linux Fedora system.
> I configure it without external BLAS, then replace the
2014 Sep 17
0
Compiling R on Fedora with threaded openblas
Dear List,
I am trying to build R on Fedora against a threaded openblas installed from
Fedora's yum repos, or alternatively swap out libRblas.so with a threaded
openblas built locally.
I have installed
$ yum list installed | grep openblas
openblas.x86_64 0.2.11-1.fc20 @updates
openblas-devel.x86_64 0.2.11-1.fc20 @updates
2019 May 08
0
openblas
(CCing the R-devel list, maybe someone will have a better answer.)
To be honest, I don't know how to. I wasn't able to configure R to use
OpenBLAS using the configure script and options on my Linux Fedora system.
I configure it without external BLAS, then replace the libRblas.dylib (.so
in my case) with a link to the OpenBLAS dynamic link library.
Peter
On Tue, May 7, 2019 at 7:39 PM
2013 Jun 07
1
Function nlme::lme in Ubuntu (but not Win or OS X): "Non-positive definite approximate variance-covariance"
Dear all,
I am estimating a mixed-model in Ubuntu Raring (13.04¸ amd64), with the
code:
fm0 <- lme(rt ~ run + group * stim * cond,
random=list(
subj=pdSymm(~ 1 + run),
subj=pdSymm(~ 0 + stim)),
data=mydat1)
When I check the approximate variance-covariance matrix, I get:
> fm0$apVar
[1] "Non-positive definite
2017 Dec 01
3
undefined symbol: sgemv_thread_n
Hello,
the following is a part of a question asked on R-help. I realized that
it is better suited for asking here. Apologies for the cross-posting!
I'm on Ubuntu artful, and upgraded with 'apt'. Then
----------------------------------------------------------------
goran at M6800:~/src/R-3.4.3$ /usr/bin/R
/usr/lib/R/bin/exec/R: symbol lookup error:
2014 Jun 16
1
Centos / Fedora rpm - issue with openblas
I’ve installed R 3.1 with the latest Fedora rpm (R-3.1.0-5.el6.x86_64.rpm) and I run into some issues with openblas.
I’ve documented this with an open question on stack overflow here:
http://stackoverflow.com/questions/24158372/openblas-r-3-1-and-fedora-centos-dist
Basically before 3.1 I had 3.02 and I was able to install and use openblas following the instruction from official CRAN
2016 Sep 07
2
Building R under Linux - library dependencies
Hello and apologies if this doesn't belong here.
I'm trying to build a "portable" version of R - "portable" means that it could be easily moved to another location or machine simply by copying it. However, I encountered a problem when running it elsewhere: it seems that versions of dynamic libraries used by R are fixed and set at the build time; when that instance of R
2014 Dec 16
3
BLAS/LAPACK routine 'DLASCL' gave error code -4 in liblapack3 Version 3.5.0
Dear all
Some computations gave a matrix. The single value decomposition of it worked fine previously, after an system upgrade I get the following error:
-----
> La.svd(x,256,256)
Error in La.svd(x, nu, nv) :
BLAS/LAPACK routine 'DLASCL' gave error code -4
-----
Erroneous Matrix: ftp://usys-ftp.ethz.ch/ITES/STEP/nussbaum/R/matrix-lapack-error4.RData /.csv
Operating System: Debian 8
2018 Sep 22
4
libRblas.so: cannot open shared object file: No such file or directory
R 3.5.1 is installed under Linux Mint 19 from binaries r-base and
r-base-dev from ubuntu bionic-cran35.? Mysteriously, packages using
libRblas cannot be compiled.? I get: libRblas.so: cannot open shared
object file: No such file or directory.? And indeed, I find no libRblas.so.
Any ideas about how to fix this?
Thanks,
Steve
2019 May 08
0
openblas
On 08.05.19 09:34, I?aki Ucar wrote:
> On Wed, 8 May 2019 at 04:52, Peter Langfelder
> <peter.langfelder at gmail.com> wrote:
>>
>> (CCing the R-devel list, maybe someone will have a better answer.)
>>
>> To be honest, I don't know how to. I wasn't able to configure R to use
>> OpenBLAS using the configure script and options on my Linux Fedora
2017 Dec 01
3
undefined symbol: sgemv_thread_n
Den 2017-12-01 kl. 20:24, skrev Dirk Eddelbuettel:
>
> On 1 December 2017 at 19:55, G?ran Brostr?m wrote:
> | Hello,
> |
> | the following is a part of a question asked on R-help. I realized that
> | it is better suited for asking here. Apologies for the cross-posting!
> |
> | I'm on Ubuntu artful, and upgraded with 'apt'. Then
> |
> |
2017 Dec 01
2
undefined symbol: sgemv_thread_n
Hi there,
On 1 December 2017 at 23:24, G?ran Brostr?m wrote:
| Dirk,
|
| thanks for your help. At work I have (ubuntu 16.04):
|
| ii libblas-common 3.6.0-2ubuntu2 amd64 Dependency package for
| all BLAS implementations
| ii libblas-dev 3.6.0-2ubuntu2 amd64 Basic Linear Algebra
| Subroutines 3, static library
| ii libblas3 3.6.0-2ubuntu2 amd64 Basic Linear
2015 Sep 17
1
Optimize R: some confusion with Lapack and OpenBlas/openBlas openmp packages.
I run Fedora 22 R package. It is build with --with-lapack \
--with-blas \ --enable-R-shlib \.
As the machine will act as a server with lots of R data computing, I
try to optimize my R package.
At first, I installed parallel_studio_xe_2016 with a free one year
licence. Then, I build a package for R with Intel MKL and compiler.
This took me lots of time as it was my first .rmp build. I finally
2015 Nov 05
2
Install R on Ubuntu with libcurl support
What do you have installed as far as libcurl goes? Would you mind
listing your packages and greping for libcurl entries.
Perhaps I need some libcurl debs installed when I install r-base?
On Thu, Nov 5, 2015 at 11:34 AM, Dirk Eddelbuettel <edd at debian.org> wrote:
>
> On 5 November 2015 at 11:11, Michael Coyne wrote:
> | Hello,
> |
> | I'm install R from a package off of
2016 Sep 07
4
Building R under Linux - library dependencies
> | Is there a way to overcome this problem? Precompiled versions of R can be installed on various system configurations, so I guess that there should be a way to compile it in a version-agnostic manner.
>
> Yes, for example by
>
> -- using a Docker container which is portable across OSs (!!) and versions
Docker R containers are north of 250 MB. I have checked experimentally
2007 Aug 18
0
Installing Rstem on Mac Intel
Hi all.
How do I install Rstem on my mac os X, with Intel processor? I need
Rstem in order to run de lsa package.
When I run the following command in the R interface:
install.packages("Rstem", repos = "http://www.omegahat.org/R", type
= "source"),
I get a whole bunch of errors, most of which referred to the dylib
(see below).
Is there an Rstem package
2024 May 13
0
Change between 86152 and 86534 - probably 86265 - that looks for zspmv in BLAS and not LAPACK causes R with OpenBLAS to fail
Executive summary:
I believe revision 86265 makes it more difficult to build R with
OpenBLAS on Windows as now the entire LAPACK needs to be built to
obtain zspmv. Is there anything that can be done to allow the former
behavior to be used, something in Mkrules.local perhaps?
Detailed Explanation:
I have been building R with OpenBLAS for Windows 64 for over a decade
by patching
2020 Jul 15
2
Openblas?
Hello,
I thought that I should try openblas when building a CRAN package
containing lots of old (twentieth century) C-code with frequent calls to
blas and lapack routines. I have the following options on my Ubuntu
20.04 machine:
Selection Path Priority Status
------------------------------------------------------------
* 0
2017 Dec 16
1
OpenBLAS in everyday R?
Multi-threaded Math Libraries (Trough OpenBlas), taking into account that
today's laptops have a minimum of 2-4 cores, are an important topic, and in
my opinion, shall be included in R for the general interest.
I think that the way to go would be to create a configuration setting in
R's options(OpenBlas= TRUE|FALSE) which enables or disables OpenBlas in an
easy way, which by default shall