Return to site

Installing Lapack On Mac Os X

broken image


Installing Lapack On Mac Os X
  1. Lapack Download
  2. Mac Os X 10.11 Download Free

Binary installers¶

In most use cases the best way to install NumPy on your system is by using aninstallable binary package for your operating system.

@rgommers i'm quite sure this isn't a dup of that, i'm running on mac os x and afaik it uses Accelerate.framework in LAPACK. Also i seem to judge the severity of this a bit different: Many of my researcher colleagues use macs and all of whom I asked to run the scipy test were surprised that these tests fail. I'm not 100% sure how bad the errors actually are, but i get a bad feeling that many. Scipy library main repository. Contribute to scipy/scipy development by creating an account on GitHub. Remember, to install from source, the sub-packages need to have their developer modules (headers) installed as well. Even if you have blas/lapack installed, you probably don't have the headers needed, which is what configure is looking for.

Windows¶

Good solutions for Windows are, The Enthought Python Distribution (EPD) (which provides binaryinstallers for Windows, OS X and Redhat) and Python (x, y). Both of these packages include Python, NumPy andmany additional packages.

A lightweight alternative is to download the Pythoninstaller from www.python.org and the NumPyinstaller for your Python version from the Sourceforge download site

The NumPy installer includes binaries for different CPU's (without SSEinstructions, with SSE2 or with SSE3) and installs the correct oneautomatically. If needed, this can be bypassed from the command line with

Fayol principle in hindi. or ‘sse2' or ‘sse3' instead of ‘nosse'.

Linux¶

Most of the major distributions provide packages for NumPy, but these can lagbehind the most recent NumPy release. Pre-built binary packages for Ubuntu areavailable on the scipy ppa. Redhat binaries areavailable in the EPD.

Mac OS X¶

A universal binary installer for NumPy is available from the download site. The EPDprovides NumPy binaries.

Hi, I'm brand new when it comes to BLAS and LAPACK and could use some help.
Ultimately I'm trying to install both so that I can use the LA packages (as a library) with Fortran 77 code compiled with gfortran. I'm using Maz OS X 10.6.8 and am attempting to install lapack version 3.5.0
Initially I followed the instructions given here: http://gcc.gnu.org/wiki/GfortranBuild for BLAS and LAPACK installation, but on getting some errors switched to the instructions given here: http://pheiter.wordpress.com/2012/09/04 .. on-mac-os/ and followed them exactly. To save you clicking on the link:
Both packages are required when you deal with linear algebra operations, e.g. solving linear equation systems. Originally, both packages were written in FORTRAN, but I want to use them coding in C++. The solution is to create a libraray! There're a few steps to consider while installing the packages. First, you have to install BLAS, because LAPACK requires it. If you have downloaded both packages, unzip them. Switch to the BLAS folder and execute
$ make
to compile all fortran files. After that, execute
$ mv blas_UNIX.a libblas.a
to rename the created library. Now, you created a library called 'libblas.a'. You just copy that file to your library folder. Therefore execute the following command
sudo cp libblas.a /usr/local/lib/
Et voila. You've installed the BLAS package. Now switch to the LAPACK folder and adjust the file 'make.inc'. If you set all parameter correctly, execute the command
$ make

My BLAS directory is Users/username/BLAS, LAPACK is users/username/lapack-3.5.0
In my make.inc file
Code: Select all
BLASLIB = libblas.a
Everything else is as it was when I d/l'ed it.
Having done all that the errors in the testing that caused me to switch to the other installation instructions when I run make are still there, and I've been unable to find useful references to them on the web:
( cd INSTALL; make; ./testlsame; ./testslamch; ./testdlamch;
./testsecond; ./testdsecnd; ./testieee; ./testversion )
make[1]: Nothing to be done for `all'.
ASCII character set
Tests completed
Epsilon = 5.96046448E-08
Safe minimum = 1.17549435E-38
Base = 2.0000000
Precision = 1.19209290E-07
Number of digits in mantissa = 24.000000
Rounding mode = 1.0000000
Minimum exponent = -125.00000
Underflow threshold = 1.17549435E-38
Largest exponent = 128.00000
Overflow threshold = 3.40282347E+38
Reciprocal of safe minimum = 8.50705917E+37
Epsilon = 1.11022302462515654E-016
Safe minimum = 2.22507385850720138E-308
Base = 2.0000000000000000
Precision = 2.22044604925031308E-016
Number of digits in mantissa = 53.000000000000000
Rounding mode = 1.0000000000000000
Minimum exponent = -1021.0000000000000
Underflow threshold = 2.22507385850720138E-308
Largest exponent = 1024.0000000000000
Overflow threshold = 1.79769313486231571E+308
Reciprocal of safe minimum = 4.49423283715578977E+307
Time for 0.100E+09 SAXPY ops = 0.394E-01 seconds
SAXPY performance rate = 0.254E+04 mflops
Including SECOND, time = 0.628E-01 seconds
Average time for SECOND = 0.467E-03 milliseconds
Equivalent floating point ops = 0.118E+04 ops
Time for 0.100E+09 DAXPY ops = 0.401E-01 seconds
DAXPY performance rate = 0.250E+04 mflops
Including DSECND, time = 0.640E-01 seconds
Average time for DSECND = 0.479E-03 milliseconds
Equivalent floating point ops = 0.120E+04 ops
We are about to check whether infinity arithmetic
can be trusted. If this test hangs, set
ILAENV = 0 for ISPEC = 10 in LAPACK/SRC/ilaenv.f
Infinity arithmetic performed as per the ieee spec.
However, this is not an exhaustive test and does not
guarantee that infinity arithmetic meets the ieee spec.
We are about to check whether NaN arithmetic
can be trusted. If this test hangs, set
ILAENV = 0 for ISPEC = 11 in LAPACK/SRC/ilaenv.f
NaN arithmetic performed as per the ieee spec.
However, this is not an exhaustive test and does not
guarantee that NaN arithmetic meets the ieee spec.
LAPACK 3 . 5 . 0
( cd SRC; make )
make[1]: Nothing to be done for `all'.
( cd TESTING/MATGEN; make )
make[1]: Nothing to be done for `all'.
( cd BLAS/TESTING; make -f Makeblat1 )
make[1]: Nothing to be done for `all'.
( cd BLAS; ./xblat1s > sblat1.out ;
./xblat1d > dblat1.out ;
./xblat1c > cblat1.out ;
./xblat1z > zblat1.out )
/bin/sh: line 1: 7051 Segmentation fault ./xblat1c > cblat1.out
( cd BLAS/TESTING; make -f Makeblat2 )
make[1]: Nothing to be done for `all'.
( cd BLAS; ./xblat2s < sblat2.in ;
./xblat2d < dblat2.in ;
./xblat2c < cblat2.in ;
./xblat2z < zblat2.in )
Parameter 1 to routine SGEMV was incorrect
Mac OS BLAS parameter error in SGEMV , parameter #0, (unavailable), is 0
Parameter 1 to routine DGEMV was incorrect
Mac OS BLAS parameter error in DGEMV , parameter #0, (unavailable), is 0
Parameter 1 to routine CGEMV was incorrect
Mac OS BLAS parameter error in CGEMV , parameter #0, (unavailable), is 0
Parameter 1 to routine ZGEMV was incorrect
Mac OS BLAS parameter error in ZGEMV , parameter #0, (unavailable), is 0


So, I'm at a loss and could do with some direction. I'm not even sure if this is at all important to be honest, so any insight would be welcome.
Installing Lapack On Mac Os X
Installing Lapack On Mac Os X

Thanks in advance,
Installing lapack on mac os x 10 11
  1. Lapack Download
  2. Mac Os X 10.11 Download Free

Binary installers¶

In most use cases the best way to install NumPy on your system is by using aninstallable binary package for your operating system.

@rgommers i'm quite sure this isn't a dup of that, i'm running on mac os x and afaik it uses Accelerate.framework in LAPACK. Also i seem to judge the severity of this a bit different: Many of my researcher colleagues use macs and all of whom I asked to run the scipy test were surprised that these tests fail. I'm not 100% sure how bad the errors actually are, but i get a bad feeling that many. Scipy library main repository. Contribute to scipy/scipy development by creating an account on GitHub. Remember, to install from source, the sub-packages need to have their developer modules (headers) installed as well. Even if you have blas/lapack installed, you probably don't have the headers needed, which is what configure is looking for.

Windows¶

Good solutions for Windows are, The Enthought Python Distribution (EPD) (which provides binaryinstallers for Windows, OS X and Redhat) and Python (x, y). Both of these packages include Python, NumPy andmany additional packages.

A lightweight alternative is to download the Pythoninstaller from www.python.org and the NumPyinstaller for your Python version from the Sourceforge download site

The NumPy installer includes binaries for different CPU's (without SSEinstructions, with SSE2 or with SSE3) and installs the correct oneautomatically. If needed, this can be bypassed from the command line with

Fayol principle in hindi. or ‘sse2' or ‘sse3' instead of ‘nosse'.

Linux¶

Most of the major distributions provide packages for NumPy, but these can lagbehind the most recent NumPy release. Pre-built binary packages for Ubuntu areavailable on the scipy ppa. Redhat binaries areavailable in the EPD.

Mac OS X¶

A universal binary installer for NumPy is available from the download site. The EPDprovides NumPy binaries.

Hi, I'm brand new when it comes to BLAS and LAPACK and could use some help.
Ultimately I'm trying to install both so that I can use the LA packages (as a library) with Fortran 77 code compiled with gfortran. I'm using Maz OS X 10.6.8 and am attempting to install lapack version 3.5.0
Initially I followed the instructions given here: http://gcc.gnu.org/wiki/GfortranBuild for BLAS and LAPACK installation, but on getting some errors switched to the instructions given here: http://pheiter.wordpress.com/2012/09/04 .. on-mac-os/ and followed them exactly. To save you clicking on the link:
Both packages are required when you deal with linear algebra operations, e.g. solving linear equation systems. Originally, both packages were written in FORTRAN, but I want to use them coding in C++. The solution is to create a libraray! There're a few steps to consider while installing the packages. First, you have to install BLAS, because LAPACK requires it. If you have downloaded both packages, unzip them. Switch to the BLAS folder and execute
$ make
to compile all fortran files. After that, execute
$ mv blas_UNIX.a libblas.a
to rename the created library. Now, you created a library called 'libblas.a'. You just copy that file to your library folder. Therefore execute the following command
sudo cp libblas.a /usr/local/lib/
Et voila. You've installed the BLAS package. Now switch to the LAPACK folder and adjust the file 'make.inc'. If you set all parameter correctly, execute the command
$ make

My BLAS directory is Users/username/BLAS, LAPACK is users/username/lapack-3.5.0
In my make.inc file
Code: Select all
BLASLIB = libblas.a
Everything else is as it was when I d/l'ed it.
Having done all that the errors in the testing that caused me to switch to the other installation instructions when I run make are still there, and I've been unable to find useful references to them on the web:
( cd INSTALL; make; ./testlsame; ./testslamch; ./testdlamch;
./testsecond; ./testdsecnd; ./testieee; ./testversion )
make[1]: Nothing to be done for `all'.
ASCII character set
Tests completed
Epsilon = 5.96046448E-08
Safe minimum = 1.17549435E-38
Base = 2.0000000
Precision = 1.19209290E-07
Number of digits in mantissa = 24.000000
Rounding mode = 1.0000000
Minimum exponent = -125.00000
Underflow threshold = 1.17549435E-38
Largest exponent = 128.00000
Overflow threshold = 3.40282347E+38
Reciprocal of safe minimum = 8.50705917E+37
Epsilon = 1.11022302462515654E-016
Safe minimum = 2.22507385850720138E-308
Base = 2.0000000000000000
Precision = 2.22044604925031308E-016
Number of digits in mantissa = 53.000000000000000
Rounding mode = 1.0000000000000000
Minimum exponent = -1021.0000000000000
Underflow threshold = 2.22507385850720138E-308
Largest exponent = 1024.0000000000000
Overflow threshold = 1.79769313486231571E+308
Reciprocal of safe minimum = 4.49423283715578977E+307
Time for 0.100E+09 SAXPY ops = 0.394E-01 seconds
SAXPY performance rate = 0.254E+04 mflops
Including SECOND, time = 0.628E-01 seconds
Average time for SECOND = 0.467E-03 milliseconds
Equivalent floating point ops = 0.118E+04 ops
Time for 0.100E+09 DAXPY ops = 0.401E-01 seconds
DAXPY performance rate = 0.250E+04 mflops
Including DSECND, time = 0.640E-01 seconds
Average time for DSECND = 0.479E-03 milliseconds
Equivalent floating point ops = 0.120E+04 ops
We are about to check whether infinity arithmetic
can be trusted. If this test hangs, set
ILAENV = 0 for ISPEC = 10 in LAPACK/SRC/ilaenv.f
Infinity arithmetic performed as per the ieee spec.
However, this is not an exhaustive test and does not
guarantee that infinity arithmetic meets the ieee spec.
We are about to check whether NaN arithmetic
can be trusted. If this test hangs, set
ILAENV = 0 for ISPEC = 11 in LAPACK/SRC/ilaenv.f
NaN arithmetic performed as per the ieee spec.
However, this is not an exhaustive test and does not
guarantee that NaN arithmetic meets the ieee spec.
LAPACK 3 . 5 . 0
( cd SRC; make )
make[1]: Nothing to be done for `all'.
( cd TESTING/MATGEN; make )
make[1]: Nothing to be done for `all'.
( cd BLAS/TESTING; make -f Makeblat1 )
make[1]: Nothing to be done for `all'.
( cd BLAS; ./xblat1s > sblat1.out ;
./xblat1d > dblat1.out ;
./xblat1c > cblat1.out ;
./xblat1z > zblat1.out )
/bin/sh: line 1: 7051 Segmentation fault ./xblat1c > cblat1.out
( cd BLAS/TESTING; make -f Makeblat2 )
make[1]: Nothing to be done for `all'.
( cd BLAS; ./xblat2s < sblat2.in ;
./xblat2d < dblat2.in ;
./xblat2c < cblat2.in ;
./xblat2z < zblat2.in )
Parameter 1 to routine SGEMV was incorrect
Mac OS BLAS parameter error in SGEMV , parameter #0, (unavailable), is 0
Parameter 1 to routine DGEMV was incorrect
Mac OS BLAS parameter error in DGEMV , parameter #0, (unavailable), is 0
Parameter 1 to routine CGEMV was incorrect
Mac OS BLAS parameter error in CGEMV , parameter #0, (unavailable), is 0
Parameter 1 to routine ZGEMV was incorrect
Mac OS BLAS parameter error in ZGEMV , parameter #0, (unavailable), is 0


So, I'm at a loss and could do with some direction. I'm not even sure if this is at all important to be honest, so any insight would be welcome.
Thanks in advance,

Lapack Download


Mac Os X 10.11 Download Free

Daniel



broken image