Add variants to control building of many 3rd-party modules in opencv.
They are enabled by default, which matches the defaults chosen by
opencv when these options are not set explicitly. This also updates
the lbann opencv dependency to disable most of these new variants by
default in order to build faster.
* Added a package for the MDAnalysis toolkit.
* Added some flags to fix the build RPATHs and OpenMP for LBANN on OS X.
* Fixed Hydrogen branch of Elemental to find OpenMP on OS X.
* Added new link line flag
* Refactored some of the common components out of the different
version's build commands. Also corrected the when commands to
properly capture non-numeric names such as local.
* Added support to the Elemental package for the Hydrogen branch.
* Fixed the datatype flag in the LBANN package.
Fixed where the datatype flag should be set.
* Added variant to OpenCV to disable building DNN support
* Fixed a bug in how the elemental package tries to find its Fortran
library. The current method does not work with Intel compilers.
* Added necessary paths for cuDNN and CUB.
* Addressed flake8 issues in Elemental package.
* Fixed several flake8 errors. Added variant to build with or without
support for arbitrary-precision floating point arithmetic.
* Added the proper CMake flag when MPFR support is disabled.
* Fixed a bug in how the cudnn path was being set when there was no
cudnn requested. Also requested that OpenCV is built without eigen
support.
* Fixed another bug where a dependency may not be there and thus should
not be always checked.
* Added a package for the MDAnalysis toolkit.
* Added additional packages that Elemental depends on.
* Changed LBANN to not ask for the scalapack variant in Elemental.
* Removed variant control on scalapack
* Added a package for the MDAnalysis toolkit.
* Added a patch that allows Elemental to use cuBLAS internally.
* Added support for LBANN to use the new cuBLAS extension in Elemental.
* Added a proper variant for when LBANN does not want to use cuBLAS in
elemental.
* Added a package for the cnpy project and used it in the lbann package.
* Removed unnecessary comment lines.
* Removed blank lines
* Removed debug variant
* Add support for libjpeg-turbo
* Added additional variants for OpenCV features. Fixed bug when linking
in TIFF support, where libtiff used the regular JPEG library and
OpenCV used libjpeg-turbo. Now libtiff can use libjpeg-turbo.
* Removed the variant for getting Elemental to use the cublas variant.
Updated the requirements for OpenCV to add new options.
* Fixed a flake8 error in OpenCV and added a path to find cnpy in lbann.
* Fixed line too long flake8 error.
* Added a flag to specify the datatype size in lbann and fixed a flake8 error.
* Added a debug build variant using hte new build_type
* Fixed flake8
* Fixed how the debug build is pushed to Elemental
* Fixed a bug in the Elemental package where the blas search flags were
being overridden by the blas link flags. Changed how the sequential
initialization variant is implemented in LBANN.
* Added support via a variant to explicitly use mkl or openblas. This
helps work around variant forwarding problems.
* Updated package files to address pull request comments.
* Add universal build_type variant to CMakePackage
* Override build_type in some packages with different possible values
* Remove reference to no longer existent debug variant
* Update CBTF packages with new build_type variant
* Keep note on build size of LLVM
* Added a package for the MDAnalysis toolkit.
* Added the dependency on setuptools.
* Added the rest of the dependencies to the py-mdanalysis package. Also
added the griddataformats and seaborn packages to satisfy requirements.
* Removed seaborn package since it has been recently added.
* Fixed flake8 error
* Removed inadvertent commits.
* Cleaned up reviewers feedback.
* Creating a spack package for LLNL's LBANN (Livermore Big
Artificial Neural Network) training toolkit.
* Recipe for building LBANN toolkit. Contains limited feature set and
is optimized for building with GNU gcc and OpenBLAS.
* Removed unnecessary dependencies based on reviewers feedback.
* Added support for the int64 data type in the Elemental library. This
is required for supporting indices for large matrices.
* Added a variant to force a sequential weight matrix initialization.
This is slow, but provides an initialization that is independent of
model parallelism.
* Added a guard to prevent building Elemental with the Intel compiler
for versions that have known bugs.
