* 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
* apply strict constraint checks for patches, otherwise Spack may incorrectly treat a version range constraint as satisfied when mixing x.y and x.y.z versions
* add mixed version checks to version comparison tests
This release contains major performance improvements for Spack environments, as well as some bugfixes and minor changes.
* allow missing modules if they are blacklisted (#13540)
* speed up environment activation (#13557)
* mirror path works for unknown versions (#13626)
* environments: don't try to modify run-env if a spec is not installed (#13589)
* use semicolons instead of newlines in module/python command (#13904)
* verify.py: os.path.exists exception handling (#13656)
* Document use of the maintainers field (#13479)
* bugfix with config caching (#13755)
* hwloc: added 'master' version pointing at the HEAD of the master branch (#13734)
* config option to allow gpg warning suppression (#13744)
* fix for relative symlinks when relocating binary packages (#13727)
* allow binary relocation of strings in relative binaries (#13724)
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Merge tag 'v0.13.2' into develop
v0.13.2
This release contains major performance improvements for Spack environments, as well as some bugfixes and minor changes.
* allow missing modules if they are blacklisted (#13540)
* speed up environment activation (#13557)
* mirror path works for unknown versions (#13626)
* environments: don't try to modify run-env if a spec is not installed (#13589)
* use semicolons instead of newlines in module/python command (#13904)
* verify.py: os.path.exists exception handling (#13656)
* Document use of the maintainers field (#13479)
* bugfix with config caching (#13755)
* hwloc: added 'master' version pointing at the HEAD of the master branch (#13734)
* config option to allow gpg warning suppression (#13744)
* fix for relative symlinks when relocating binary packages (#13727)
* allow binary relocation of strings in relative binaries (#13724)
`spack module loads` and `spack module find` previously failed if any upstream modules were missing. This prevented it from being used with upstreams (or, really, any spack instance) that blacklisted modules.
This PR makes module finding is now more lenient (especially for blacklisted modules).
- `spack module find` now does not report an error if the spec is blacklisted
- instead, it prints a single warning if any modules will be omitted from the loads file
- It comments the missing modules out of the loads file so the user can see what's missing
- Debug messages are also printed so users can check this with `spack -d...`
- also added tests for new functionality
`spack module loads` and `spack module find` previously failed if any upstream modules were missing. This prevented it from being used with upstreams (or, really, any spack instance) that blacklisted modules.
This PR makes module finding is now more lenient (especially for blacklisted modules).
- `spack module find` now does not report an error if the spec is blacklisted
- instead, it prints a single warning if any modules will be omitted from the loads file
- It comments the missing modules out of the loads file so the user can see what's missing
- Debug messages are also printed so users can check this with `spack -d...`
- also added tests for new functionality
* Fixed x86-64 optimization flags for clang
* Fixed expected results in unit tests
Before the flags used where the one for llc, the underlying compiler from LLVM IR to machine assembly. It turns out that the semantic of `-march`, `-mtune` and `-mcpu` changes from clang front-end to llc.
I found no definitive reference for the flags submitted in this PR, but I checked the assembly on a vectorizable function using Godbolt's web-site.
* package for Simmetrix SimModSuite
* simmodsuite: passes flake8
* simmetrix: add version, set cmake prefix path
A given install will either use the libs built on rhel7 or rhel6.
For now, I'm sticking with the non-spack install convention of
placing the libraries into sub-directories named according to their
build process (os + compiler).
* simmetrix: add older version
* simmetrix: set build env paths
easier to build pumi using CMAKE_PREFIX_PATH
* simmetrix: address review comments
* simmetrix: add new version and remove old one
* simmetrix: flake8 fixes
* simmodsuite: oslib var is in self
* simmodsuite: update version and checksum
* simodsuite: set LD_LIBRARY_PATH for cad kernels
* update license
* update setup_environment calls
* increase indentation for flake8
* python3.8 flake8 fixes
* use spack consistent naming
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
* sha256 required, update versions and hashes
* Added build dependency on gawk
* Use virtual depdendency
* Added patch to prepare libgpg-error for use with gawk@5
* Added reasoning with link for need for patch
* Add a transaction around repeated calls to `spec.prefix` in the activation process
* cache the computation of home in the python package to speed up setting deps
* ensure that module-scope variables are only set *once* per module
* Add a transaction around repeated calls to `spec.prefix` in the activation process
* cache the computation of home in the python package to speed up setting deps
* ensure that module-scope variables are only set *once* per module
