* [NEW] Added amdfftw, amdlibflame and amdscalapack recipes
Updated base fftw, libflame and netlib-scalapack recipes
to accommodate the above listed AMD Optimizing CPU Libraries
which are a set of numerical routines optimized for AMD platforms.
Updated amdblis spack recipe
amdblis:
1. updated with amdblis 2.2 release
amdfftw:
1. "--enable-single" now work as synonym for "--enable-float"
amdlibflame:
1. Added enable_or_disable_threads() to set value for "--enable-multithreading" flag
Libflame:
1. Added enable_or_disable_threads() to set value for "--enable-multithreading" flag
2. Corrected invocation of "enable_or_disable('threads')"
Change-Id: I9da0a2c2c4e2075b7fa2776e7cfe6548a2e0b32f
* Added amd-toolchain-support as maintainers
Added team github account amd-toolchain-support
as maintainers for all the recipes owned by
AMD Optimizing CPU Libraries (AOCL) team
Change-Id: I9a7969bd48fc42cfbb88dd7bd93e0802c6138582
* Incorporated review comments
Updated packages.yaml with aocl components
Handled Flake8 test failures
Change-Id: I0a03f02d8c9f326b2434ec907958c3de3a8e18eb
* Readded accidental removal of stream recipe
amdfftw:
1. Updated the aocc clang selection as per spack standards
fftw:
1. Currently apple-clang section is redundant,
already it is handled in the conflict checks.
Change-Id: Idef4a3f61717eb81f321e0cd16e7ba9619eac846
* Fix for style and docs/validate (pull_request) test
unnumbered format placeholders from {} to {0}
Change-Id: If67a3374177ec067573e5504462d257712fafc05
* changed compiler references to Spack's compiler wrapper:spack_cc, spack_cxx, spack_fc
Change-Id: I7ae29c978fff16e37773913f14c84df232499763
* Removed 'single' variant from amdfftw recipe
Instead of conflict for apple-clang + openmp, handled this senario
via below available feature:
depends_on('llvm-openmp', when='%apple-clang +openmp')
Change-Id: I701b23d83e822a500ca3aaf2b60cc9ace09e13dc
* Added relevant info for users who prefers to use single precision
Change-Id: I3506e21da428ddef5fb7895b5aaed32c2a061ef6
* Minor changes on fftw, amdfftw and libflame
amdfftw:
1. Removed escape symbol to the single quotes
2. Rewording the conflict line from Recommended
to Required
fftw:
1. Reorded to following recommended sections:
versions, variants, dependencies, providers,
patches
libflame:
1. Added provides entry for 5.1.0 version
Change-Id: I21ebff99b6dfde031763154693ecb3f1fa47b476
* Removed single quote from amdfftw docstring to fix style failures
Change-Id: Ife939a5a2f5ccbc8879b730c7bebfe2fcfef9332
* camp: changes to support hip build
* hip: add fallback path for external hip to detect other rocm components
Co-authored-by: Greg Becker <becker33@llnl.gov>
* Patched hypre to better add flags based on compiler.
* Update package.py
This file seems to have lots of edits, so the patch may succeed with offsets. Has anyone checked with spack patch to be sure it'll work with versions 2.15 - 2.20?
In #18394 it was noted, that this package should be changed
from a generic "Package" to a "CMakePackage".
It makes a bunch of things easier.
And it uses all the common cmake code.
* Added hash values for LBANN v0.101 and Hydrogen v1.5.0. Updated the
LBANN package to be more successful in resolving a legal configuration
of MPI and HWLOC packages. This required the removal of the MPI
virtual package since it is unable to resolve dependencies with
minimum version requirements. As a result to enable a reasonable
install line for LBANN this requires explicit forwarding of MPI
variants to Hydrogen and Aluminum. Due to the lack of variant
forwarding, there are many explicitly replicated dependencies for both
LBANN and Hydrogen. Fixed the error in LBANN where gpu variant was
replaced by the cuda variant, but not all dependencies were fixed.
* Fixed the minumum cuDNN version for newer versions of LBANN.
* Added explicit versioning of the MPI libraries for DiHydrogen to avoid
all of the conflicts with minimum required versions of the OpenMPI library.
* Removed explicit MPI versions and went back to using the MPI virtual
dependency. Updated construction of variant forwarding to use
iterative construction of constraints and variants. This exacerbates
the challenges with backtracking in the current concretizer, but
should be fixed in the new concretizer.
* Added support for including the DiHydrogen library in LBANN as well as
support for the distributed convolution (DistConv) parallel
algorithms. Also include support for building with half precision.
* Moving dependencies around
* Added conflict statement to ensure that the variant dihydrogen is
required for distconv.
* Removed the preferred field
* Fixed Flake8 and cuDNN version bounds
* gemini dep py-cyordereddict +
* dep ipyparallel +
* py-ipython-cluster +
* py-cyordereddict URL+dep fix
* Update var/spack/repos/builtin/packages/py-cyordereddict/package.py
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* py-ipython-cluster-helper dep fix
* py-ipyparallel dep fix
* ipython-cluster-helper debug
* ipython-cluster-helper debug
* ipyparallel dep fix
* ipython-cluster-helper dep fix
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* added initial version of package and patch for precice-bindings
* updated package name
* cleanup in script; added version requirement to cython
* Remove unnecessary part of patch
* cleanup package
* added initial version of package and patch for precice-bindings
* updated package name
* cleanup in script; added version requirement to cython
* Remove unnecessary part of patch
* cleanup package
* update style of package
* reformatting to fullfil style requirements
* reformatting again
* fixing some of the issues mention in PR; working on fixing install stage
* readded py-wheel as dependency
Co-authored-by: Benjamin Rüth <benjamin.rueth@tum.de>
* Patch CMake version check in Umpire
* Update version constraint for cmake_version_check patch
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* Add maintainers to Umpire
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* [py-torch-nvidia-apex] added version 201019 and added dependency on py-pybind11
* [py-torch-nvidia-apex] changed versioning format
* [py-torch-nvidia-apex] removed redundent version condition
* [py-torch-nvidia-apex] removed condition on dependency
