The pcluster image has am internal buildcache without an index.
Also, we need to force reuse to avoid rebuilding GCC, since the default is
to only reuse dependencies - and that is subject to changes in the GCC
recipe.
* e4s oneapi ci: use official intel oneapi-derived runner image
* update oneapi image
* tau builds ok, but only with libdrm - comment out for now, follow up with pr later
* e4s cray ci stack
* e4s ci: add cray
* add zen4 tag
* WIP: new defintions just for cray
* updates
* remove ci signing job overrride, not necessary
* echo $PATH and show modules loaded
* add mirror
* add external def for cray-libsci
* comment out quantum-espresso
* use /etc/protected-runner as key path
* cray ci stack: do not remove tags: [spack, public]
* make cray stack composable
* generate job should run on public tagged runner, override default config:install_tree:root
* CI: Use relative path in default script
* CI: Use relative includes paths for shell runners
* Use concrete_env_dir for relpath
* ml-darwin-aarch64-mps: jax has bazel codesign issue
---------
Co-authored-by: Scott Wittenburg <scott.wittenburg@kitware.com>
Co-authored-by: Ryan Krattiger <ryan.krattiger@kitware.com>
* Add macOS ML CI stacks
* torchmeta is no longer maintained and requires ancient PyTorch
* Add MXNet
* update darwin aarch64 stacks
* add darwin-aarch64 scoped config.yaml
* remove unnecessary cleanup job
* fix specifications
* fix labels
* fix labels
* fix indent on tags specification
* no tags for trigger jobs
* try overriding tags in stack spack.yaml
* do not use CI_STACK_CONFIG_SCOPES
* incorporate config:install_tree:root: overrides and compiler defs
* copy relevant ci-scoped config settings directly into stack spack.yaml
* remove build-job-remove
* spack ci generate: add debug flag
* include cdash config directly in stack spack.yaml
* customize build-job script section to avoid absolute paths
* add any-job specification
* tags: use aarch64-macos instead of aarch64
* generate tags: use aarch64-macos instead of aarch64
* do not add morepadding
* use shared mirror; comment out known failures
* remove any-job
* nproc || true
* comment out specs failing due to bazel from cache codesign issue
---------
Co-authored-by: eugeneswalker <eugenesunsetwalker@gmail.com>
* [pcluster pipeline] Use local buildcache instead of upstream spack
Spack currently does not relocate compiler references from upstream spack
installations. When using a buildcache we don't need an upstream spack.
* gcc needs to be installed via postinstall to get correct deps
* quantum-espresso@gcc@12.3.0 returns ICE on neoverse_{n,v}1
* Force gitlab to pull the new container
* Revert "Force gitlab to pull the new container"
This reverts commit 3af5f4cd88.
Seems the gitlab version does not yet support "pull_policy" in .gitlab-ci.yml
* Gitlab keeps picking up wrong container. Renaming
* Update containers once more after failed build
Add aws-plcuster[-aarch64] stacks. These stacks build packages defined in
https://github.com/spack/spack-configs/tree/main/AWS/parallelcluster
They use a custom container from https://github.com/spack/gitlab-runners which
includes necessary ParallelCluster software to link and build as well as an
upstream spack installation with current GCC and dependencies.
Intel and ARM software is installed and used during the build stage but removed
from the buildcache before the signing stage.
Files `configs/linux/{arch}/ci.yaml` select the necessary providers in order to
build for specific architectures (icelake, skylake, neoverse_{n,v}1).
* gitlab ci: release fixes and improvements
- use rules to reduce boilerplate in .gitlab-ci.yml
- support copy-only pipeline jobs
- make pipelines for release branches rebuild everything
- make pipelines for protected tags copy-only
* gitlab ci: remove url changes used in testing
* gitlab ci: tag mirrors need public key
Make sure that mirrors associated with release branches and tags
contain the public key needed to verify the signed binaries. This
also ensures that when stack-specific mirror contents are copied
to the root, the root mirror has the public key as well.
* review: be more specific about tags, curl flags
* Make the check in ci.yaml consistent with the .gitlab-ci.yml
---------
Co-authored-by: Ryan Krattiger <ryan.krattiger@kitware.com>
The flags --mirror-name / --mirror-url / --directory were deprecated in
favor of just passing a positional name, url or directory, and letting spack
figure it out.
---------
Co-authored-by: Scott Wittenburg <scott.wittenburg@kitware.com>
* CI: Fixup docs for bootstrap.
* CI: Add compatibility shim
* Add an update method for CI
Update requires manually renaming section to `ci`. After
this patch, updating and using the deprecated `gitlab-ci` section
should be possible.
* Fix typos in generate warnings
* Fixup CI schema validation
* Add unit tests for legacy CI
* Add deprecated CI stack for continuous testing
* Allow updating gitlab-ci section directly with env update
* Make warning give good advice for updating gitlab-ci
* Fix typo in CI name
* Remove white space
* Remove unneeded component of deprected-ci
* ci: version bump for ghcr.io/spack/e4s-amazonlinux-2
This new image comes with GnuPG v2.4.0
* py-cython: upperbounds for Python versions
* fix py-gevent nonsense
---------
Co-authored-by: Harmen Stoppels <me@harmenstoppels.nl>
* CI configuration boilerplate reduction and refactor
Configuration:
- New notation for list concatenation (prepend/append)
- New notation for string concatenation (prepend/append)
- Break out configuration files for: ci.yaml, cdash.yaml, view.yaml
- Spack CI section refactored to improve self-consistency and
composability
- Scripts are now lists of lists and/or lists of strings
- Job attributes are now listed under precedence ordered list that are
composed/merged using Spack config merge rules.
- "service-jobs" are identified explicitly rather than as a batch
CI:
- Consolidate common, platform, and architecture configurations for all CI stacks into composable configuration files
- Make padding consistent across all stacks (256)
- Merge all package -> runner mappings to be consistent across all
stacks
Unit Test:
- Refactor CI module unit-tests for refactor configuration
Docs:
- Add docs for new notations in configuration.rst
- Rewrite docs on CI pipelines to be consistent with refactored CI
workflow
* Script verbose environ, dev bootstrap
* Port #35409
By setting the traversal depth to 1, only specs matching the changed
package and direct dependents of those (and of course all dependencies
of that set) are removed from pruning candidacy.
* e4s: restore builds builds
* gitlab ci: allow UO to build protected binaries for signing
* use newer image; comment out failing builds
* gitlab-ci: Some tweaks for e4s power builds
- fix tags (no longer require generate jobs to run on aws)
- fix resource requests for generation jobs resource requests
- remove SPACK_SIGNING_KEY from protected power build jobs
- update UO signing key path
- change the CDash build group to reflect stack name
- retry pipeline generation jobs *always*
* correct double packages: section
* gitlab-ci:script: modernize
* remove new gnu make, not for ppc64le
---------
Co-authored-by: Scott Wittenburg <scott.wittenburg@kitware.com>
Gitlab does not merge lists when a job extends two other definitions
that include the same list (e.g. tags). Also, it merges dictionaries
as long as the keys are distinct, but just takes the last mentioned
value when there are key collisions.
This change makes sure that when different tags are needed by a
pipeline, the ones we want are actually provided. It also changes
the example stack to better follow this pattern so we do not lead
developers astray in the future.
* ML CI: Linux x86_64
* Update comments
* Rename again
* Rename comments
* Update to match other arches
* No compiler
* Compiler was wrong anyway
* Faster TF
* CI: Update Data and Vis SDK Stack
* Update image to match target deployments (E4S)
* Enable all packages
* Test supported variants of ParaView and VisIt
* Sensei: Update Python hint for newer cmake
* Sensei: add Python3 hint
When we lose a running pod (possibly loss of spot instance) or encounter
some other infrastructure-related failure of this job, we need to retry
it. This retries the job the maximum number of times in those cases.
Basic stack of ML packages we would like to test and generate binaries for in CI.
Spack now has a large CI framework in GitLab for PR testing and public binary generation.
We should take advantage of this to test and distribute optimized binaries for popular ML
frameworks.
This is a pretty extensive initial set, including CPU, ROCm, and CUDA versions of a core
`x96_64_v4` stack.
### Core ML frameworks
These are all popular core ML frameworks already available in Spack.
- [x] PyTorch
- [x] TensorFlow
- [x] Scikit-learn
- [x] MXNet
- [x] CNTK
- [x] Caffe
- [x] Chainer
- [x] XGBoost
- [x] Theano
### ML extensions
These are domain libraries and wrappers that build on top of core ML libraries
- [x] Keras
- [x] TensorBoard
- [x] torchvision
- [x] torchtext
- [x] torchaudio
- [x] TorchGeo
- [x] PyTorch Lightning
- [x] torchmetrics
- [x] GPyTorch
- [x] Horovod
### ML-adjacent libraries
These are libraries that aren't specific to ML but are still core libraries used in ML pipelines
- [x] numpy
- [x] scipy
- [x] pandas
- [x] ONNX
- [x] bazel
Co-authored-by: Jonathon Anderson <17242663+blue42u@users.noreply.github.com>
Move the copying of the buildcache to a root job that runs after all the child
pipelines have finished, so that the operation can be coordinated across all
child pipelines to remove the possibility of race conditions during potentially
simlutandous copies. This lets us ensure the .spec.json.sig and .spack files
for any spec in the root mirror always come from the same child pipeline
mirror (though which pipeline is arbitrary). It also allows us to avoid copying
of duplicates, which we now do.
On PR pipelines we need to override the buildcache destination to
point to the "spack-binaries-prs" bucket, otherwise, those pipelines
try to push to the default mirror in a bucket for which they don't
have write permission.
