On 26/11/2020 21:19, Anirban Mukherjee wrote:
Dear Prof Ripley,

1. Ok. I will not use LAPACK from the Accelerate library.

2. Ok. It would be great, when the CRAN team has the time, to update the FAQ.]

Which FAQ? The CRAN team is not responsible for the 'MacOSX FAQ' (nor any of the others): 'from CRAN' in that doc means 'mirrored by CRAN from Simon Urbanek'.

3. I need to pass -Wno-implicit-function-declaration to have the compiled R use 
the Accelerate BLAS. Without the flag (even without --with-lapack) R compiles 
fine but uses the included stock BLAS.

I believe that had already changed (in R-devel and R-patched): your R was not current. (Please do re-read the R lists' posting guide and update before posting.)


Best,
Anirban

On 26 Nov 2020, at 4:22 AM, Prof Brian Ripley <rip...@stats.ox.ac.uk> wrote:

A few comments:

1) Do you really want to be using an old and buggy LAPACK?  For that is what 
--with-lapack gives you, and the manual does warn you.

2) With Xcode 12.2 you will not see the .dylibs you are used to seeing: linking 
to system resources is done using .tbd files and although the dylibs are there, 
they (and much else) are hidden from casual view.

3) The instructions in the manual work for me with macOS 11.0.1 and CLT 12.2, 
both on x86_64 and on arm64.  And Accelerate is being used, as the check output 
is slightly different and I have (without --with-lapack)

sessionInfo()
R Under development (unstable) (2020-11-25 r79505)
Platform: x86_64-apple-darwin20.1.0 (64-bit)
Running under: macOS Big Sur 11.0.1

Matrix products: default
LAPACK: /Users/ripley/R/R-accelerate/lib/libRlapack.dylib

with

otool -L .../libRlapack.dylib
        libRlapack.dylib (compatibility version 4.1.0, current version 4.1.0)
        /System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate 
(compatibility version 1.0.0, current version 4.0.0)
...

as against a default build:

sessionInfo()
R Under development (unstable) (2020-11-25 r79505)
Platform: x86_64-apple-darwin20.1.0 (64-bit)
Running under: macOS Big Sur 11.0.1

Matrix products: default
BLAS:   /Users/ripley/R/R-devel/lib/libRblas.dylib
LAPACK: /Users/ripley/R/R-devel/lib/libRlapack.dylib



On 22/11/2020 09:15, Anirban Mukherjee wrote:
Hi,
I am having trouble using vecLib BLAS and LAPACK libraries in R 4.0.3 Patched 
(2020-11-20 r79454) on Mac OS 11.0.1 and Xcode 12.2.
For several years, I have been compiling R from source on the same computer. 
Most recently, I compiled R from source on Mac OS 10.15.7 and Xcode 11.5. As 
given in the R installation and administration manual, I specified the 
following configuration options:
1. --with-blas="-framework Accelerateā€¯
2. --with-lapack
As expected, those two configurations options led to R using the vecLib 
libraries.
After upgrading from Mac OS 10.15.7 to Mac OS 11.01, I find that my new 
compilations of R no longer use vecLib BLAS and LAPACK libraries (sessionInfo 
below message). I poked around in 
/System/Library/Frameworks/Accelerate.framework/Frameworks/vecLib.framework/Versions/Current/.
 I do not see libBLAS.dylib and libLAPACK.dylib.
May I enquire:
a. Should I see libBLAS.dylib and libLAPACK.dylib in the vecLib framework 
folder (on Mac OS 11.01 and Xcode 12.2). As I remember it, that is where those 
libraries were located in prior versions of Mac OS and Xcode. Is the fact that 
they are missing unique to my machine? If so, then they likely were deleted in 
the upgrade as they must have been present when I compiled R a few weeks ago.
b. Has anyone compiled R from source on Mac OS 11.0.1 and Xcode 12.2? Does your 
R use the vecLib libaries (if that is what you prefer)?
Any help would be very welcome.
Thanks,
Anirban
sessionInfo()
R version 4.0.3 Patched (2020-11-20 r79454)
Platform: x86_64-apple-darwin20.1.0 (64-bit)
Running under: macOS Big Sur 10.16
Matrix products: default
LAPACK: 
/Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRlapack.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base
loaded via a namespace (and not attached):
[1] compiler_4.0.3 tools_4.0.3
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--
Brian D. Ripley,                  rip...@stats.ox.ac.uk
Emeritus Professor of Applied Statistics, University of Oxford



--
Brian D. Ripley,                  rip...@stats.ox.ac.uk
Emeritus Professor of Applied Statistics, University of Oxford

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