* AMD - Bumped up version for hip-rocclr, rocm-opencl, rocm-smi-lib
* AMD ROCm - HIP update and bump up version to 3.9.0 for rccl,debug agent, hip-rocclr and atmi
* Update package.py
* Update package.py
* Update package.py
* Update var/spack/repos/builtin/packages/hip/package.py
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* py-json-get: new package at 1.1.1
* py-json-get: new package at 1.1.1
* r-bigalgebra: new package at 0.8.4
* r-bigalgebra: new package at 0.8.4 with corrections
* Added an additional change to tarball and dependencies
* removing accidentally added file
* Added tarball that uses mirror and removed redundant dependencies
* Fixed version and added dep.
* Updated checksum
* Fixed urls
* Added list_url
Co-authored-by: las_djorton <las_djorton@build.las.iastate.edu>
* Add CUDA support to superlu-dist
* Use spec['cuda'].libs.directories[0] iso spec['cuda'].prefix.lib
so it works for both lib and lib64
The suggested:
args.append('-DTPL_CUDA_LIBRARIES=' +
spec['cuda'].libs.ld_flags)
did not work because it does not link with cuBLAS.
* No version of yaml-cpp in spack can build shared AND
static libraries at the same time. So drop the "static"
variant and let "shared" handle that alone.
Or in other words: No version handles the
BUILD_STATIC_LIBS flag.
* The flag for building shared libraries changed from
BUILD_SHARED_LIBS to YAML_BUILD_SHARED_LIBS at some
point. So just pass both flags.
* Use the newer define_from_variant.
* [py-cuml] created template
* [py-cuml] setup phases and added build_directory
* [py-cuml] added dependencies
* [py-cuml] depends on libcumlprims
* [py-cuml] requiring multigpu version
* [py-cuml] figuring out the best way to get concretization to happen cleanly
* [py-cuml] removed singlegpu variat from libcuml
* [py-cuml] depends on py-cudf
* [py-cuml] depends on cupy
* [py-cuml] fixed typoo
* [py-cuml] depends on py-scipy
* [py-cuml] depends on py-treelite
* [py-cuml] py-treelite is now a variant of treelite
* [py-cuml] depends on joblib
* [py-cuml] depends on py-scikit-learn
* [py-cuml] flake8
* [py-cuml] added homepage and description. removed fixmes
* [py-cuml] updated checksum
* Enabling build of v1.9.x development branch.
* v1.8.1 is the preferred (stable) version.
* Fixing code style
Co-authored-by: Filippo Spiga <fspiga@nvidia.com>
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* [podio] put python dir in python path
* Update var/spack/repos/builtin/packages/podio/package.py
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* tskit package
* Update var/spack/repos/builtin/packages/tskit/package.py
I can't see any hard requirement for 3.6:
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* fixes following PR review
* Update var/spack/repos/builtin/packages/tskit/package.py
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
Version 5.32.0 has been out for quite a while and Linux distributions
are shipping it. I have also done a rebuild of some common packages with
the new version. Let's make it the preferred version.
* amrex: new options names for version > 20.11
* amrex: change option name DIM -> AMReX_SPACEDIM
* Update var/spack/repos/builtin/packages/amrex/package.py
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* Added code to help DiHydrogen find cuDNN and CUB
* Cleaning up dependencies on CUB and adding guards for when newer
versions of CUDA include CUB and it should be excluded.
* Changed Hydrogen to disable half support by default.
* Have LBANN force Hydrogen and DiHydrogen to build without half when the variant is disabled.
* Added explicit variants to enusre that if LBANN is build without Cuda,
Aluminum, or Half support, it enforces those constraints for Hydrogen
and DiHydrogen. Cleaned up the use of Python extend versus append in
LBANN and DiHydrogen recipes.
* Fixed Flake8
* [evtgen] add env var
* Update var/spack/repos/builtin/packages/evtgen/package.py
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
See #19784
virtualgl CMake system is looking for a specific libjpeg-turbo include
file, not present in libjpeg (currently the only other jpeg provider)
* cget package
* Update var/spack/repos/builtin/packages/cget/package.py
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* Update var/spack/repos/builtin/packages/cget/package.py
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* Update var/spack/repos/builtin/packages/cget/package.py
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
