* elpa: port to microarch
* flake8
* Update package.py
* Update var/spack/repos/builtin/packages/elpa/package.py
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
* Adding libid3tag package for supporting feh
* Adding libexif package for supporting feh
* Adding imlib2 package for supporting feh
* Adding the feh package
* Rewording the cleanup function for libid3tag
* Fixing some flake8 issues for imlib2 and libid3tag
* Adding sources for the patches and swapping rm for os.remove
* Flake8 fixes
* swapping md5sums for sha256sums
* CUDA HeaderList: Unit Test
* Spec Header Dirs: Only first include/
Avoid matching recurringly nested include paths that usually
refer to internally shipped libraries in packages.
Example in CUDA Toolkit, shipping a libc++ fork internally
with libcu++ since 10.2.89:
`<prefix>/include/cuda/some/more/details/include/` or
`<prefix>/include/cuda/std/detail/libcxx/include`
regex: non-greedy first match of include
Co-Authored-By: Massimiliano Culpo <massimiliano.culpo@gmail.com>
* CUDA: Re-Enable 10.2.89 as Default
* ibm-java: add version 8.0.6.0
Add version 8.0.6.0 and remove 8.0.5.30. IBM is fairly aggressive
about removing old versions, and 8.0.5.30 is no longer available from
their download site.
* Restore version 8.0.5.30, although it is no longer available for
download from IBM.
* Addition of repository branches to maestrowf.
* Addition of 1.1.5dev pre-release.
* Correction of a merge conflict.
* Addition of Maestro release 1.1.5
* Addition of Maestro release 1.1.6 (removal of 1.1.5)
* Sets 1.1.6 to the preferred version.
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
* Tweak to the url to point to latest.
* Fix Apex and OTF2 support
- Comment out apex as a dependncy: it is bundled with HPX.
- Apply a patch to v1.3.0 to correctly build with APEX.
- Add otf2 as a dependency when APEX is enabled.
* Remove depends_on('apex')
* augustus: Set compile commands for each compiler and Fix for using 'boost' on Spack
* fix for flake8
* delete 'string' args
* Fix args of filter_file func
* Fix args of other filter_file func
* Add patch to fix issue building current llvm develop master on power9
* Conform to proper block commenting
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
* add tensorflow
Change-Id: Id778c68d148cc42f0b478a9d10a8f937cb54cdc6
* make bazel and tensorflow build
Change-Id: Iae9005e8f4dcc8f1ed36ea9337d2430aeebb291f
* fix flake8
Change-Id: Ib05529dd796eab4a8855a5d7775cc4efea8e479d
* 2nd flake8 attempt
Change-Id: I46224be3a374b2a65793048b0c5178ea64adbd78
* replace md5 sums with sha256
* add version 1.13.2
* bazel() -> bazel('build',...
* specify versions of bazel dependency
* build with CUDA
* add TODOs
* add more todo"s
* improve enum34 dependency
* py-future is a dependency as of v1.14
* Update var/spack/repos/builtin/packages/tensorflow/package.py
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
* Update var/spack/repos/builtin/packages/tensorflow/package.py
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
* Update var/spack/repos/builtin/packages/tensorflow/package.py
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
* Update var/spack/repos/builtin/packages/tensorflow/package.py
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
* enable nccl, cuda by default
* explain patches
* add todo
* remove unnecessary copt_flag
* use join
* join argument must be an iterable
* split long line; use same opts for non-cuda build
* without opt flags, configure hangs
* introduce build phases; re-arrange
* undo mistake
* restore unset tmp_path
* as of v1.14, nccl_install_path is parsed correctly, hence change ...prefix.lib to ...prefix
* now, version 1.14 compiles successfully with cuda
* add version 2.1.0
* specify bazel dependency for version 2.1.0-rc0
* account for deprecated bazel opts for v2.1.0-rc0
* disable mkldnn contraction kernel
* Flake8 fixes
* md5 -> sha256
* Fix TF and TF-estimator version deps
* Don't just comment out patch
* Add myself as a maintainer
* Patch py-astor to support newer py-setuptools
* Add more versions and bazel version constraints
* Add a build phase
* Add note about configure interactivity
* dev-build -> build-env
* Disable iOS build
* Use correct optimization flags
* Add variants for all possible features
* nccl isn't always a dependency
* Specify correct dependency versions for each release
* Libs may not be in lib or lib64
* Add py-opt-einsum package
* Add newer version of py-protobuf
* Add newer version of py-wrapt
* Fix Python 2.6 syntax error
* Code review
* Set more env vars for older versions
* Add more env vars, fix bazel versions, add conflicts
* Fix config options
* Specify version that support --config args
* Add py-future dependency for Python 2
* Fix cuda config flag and compute capabilities
* Fix installation on macOS, add unit tests
* Override cuda variant default to True on non-macOS
* Rename tensorflow to py-tensorflow
* Has to extend something
* Fix os.symlink call
* convert cuda_arc values to capabilities
* restore nccl prefix path for v1.13.1
* Revert to v2
* Remove extraneous period
* Add new version of jdk/openjdk
* More stable cuda_arch formatting
* Fix bazel unit tests
* Fix symlinking
* Fix unit tests
* +gcp by default until build error figured out
