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* Fast Gitlab CI job setup, and better legibility
* Use a non-broken, recent GNU Make
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* Use spack bootstrap now in containers
* Fix wrong path glob expression
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Delete code removing the symlink during CI
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Use --backtrace in ci instead of --debug to reduce verbosity
and don't show log on error, since log is already printed
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* backtraces without --debug
Currently `--debug` is too verbose and not-`--debug` gives to little
context about where exceptions are coming from.
So, instead, it'd be nice to have `spack --backtrace` and
`SPACK_BACKTRACE=1` as methods to get something inbetween: no verbose
debug messages, but always a full backtrace.
This is useful for CI, where we don't want to drown in debug messages
when installing deps, but we do want to get details where something goes
wrong if it goes wrong.
* completion
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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.
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`reuse` and `when_possible` concretization broke the invariant that
`spec[pkg_name]` has unique keys. This invariant is relied on in tons of
places, such as when setting up the build environment.
When using `when_possible` concretization, one may end up with two or
more `perl`s or `python`s among the transitive deps of a spec, because
concretization does not consider build-only deps of reusable specs.
Until the code base is fixed not to rely on this broken property of
`__getitem__`, we should disable reuse in CI.
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When installing some/all specs from a buildcache, build edges are pruned
from those specs. This can result in a much smaller effective DAG. Until
now, `spack env depfile` would always generate a full DAG.
Ths PR adds the `spack env depfile --use-buildcache` flag that was
introduced for `spack install` before. This way, not only can we drop
build edges, but also we can automatically set the right buildcache
related flags on the specific specs that are gonna get installed.
This way we get parallel installs of binary deps without redundancy,
which is useful for Gitlab CI.
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Currently "spack ci generate" chooses the first matching entry in
gitlab-ci:mappings to fill attributes for a generated build-job,
requiring that the entire configuration matrix is listed out
explicitly. This unfortunately causes significant problems in
environments with large configuration spaces, for example the
environment in #31598 (spack.yaml) supports 5 operating systems,
3 architectures and 130 packages with explicit size requirements,
resulting in 1300 lines of configuration YAML.
This patch adds a configuraiton option to the gitlab-ci schema called
"match_behavior"; when it is set to "merge", all matching entries
are applied in order to the final build-job, allowing a few entries
to cover an entire matrix of configurations.
The default for "match_behavior" is "first", which behaves as before
this commit (only the runner attributes of the first match are used).
In addition, match entries may now include a "remove-attributes"
configuration, which allows matches to remove tags that have been
aggregated by prior matches. This only makes sense to use with
"match_behavior:merge". You can combine "runner-attributes" with
"remove-attributes" to effectively override prior tags.
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* env depfile: allow deps only install
- Refactor `spack env depfile` to use a Jinja template, making it a bit
easier to follow as a human being.
- Add a layer of indirection in the generated Makefile through an
`<prefix>/.install-deps/<hash>` target, which allows one to specify
different options when installing dependencies. For example, only
verbose/debug mode on when installing some particular spec:
```
$ spack -e my_env env depfile -o Makefile --make-target-prefix example
$ make example/.install-deps/<hash> -j16
$ make example/.install/<hash> SPACK="spack -d" SPACK_INSTALL_FLAGS=--verbose -j16
```
This could be used to speed up `spack ci rebuild`:
- Parallel install of dependencies from buildcache
- Better readability of logs, e.g. reducing verbosity when installing
dependencies, and splitting logs into deps.log and current_spec.log
* Silence please!
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Caches used by repositories don't reference the global spack.repo.path instance
anymore, but get the repository they refer to during initialization.
Spec.virtual now use the index, and computation done to compute the index
use Repository.is_virtual_safe.
Code to construct mock packages and mock repository has been factored into
a unique MockRepositoryBuilder that is used throughout the codebase.
Add debug print for pushing and popping config scopes.
Changed spack.repo.use_repositories so that it can override or not previous repos
spack.repo.use_repositories updates spack.config.config according to the modifications done
Removed a peculiar behavior from spack.config.Configuration where push would always
bubble-up a scope named command_line if it existed
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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>
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Remove `module-info mode load` condition that prevents auto-unloading when autoloading is enabled. It looks like this condition was added to work around an issue in environment-modules that is no longer necessary.
Add quotes to make is-loaded happy
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Install: Add use-buildcache option to install
* Allow differentiating between top level packages and dependencies when
determining whether to install from the cache or not.
* Add unit test for --use-buildcache
* Use metavar to display use-buildcache options.
* Update spack-completion
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PR #32615 deprecated Python versions up to 3.6.X. Since
the "build-systems" pipeline requires Python 3.6.15 to
build "tut", it will fail on the first rebuild that
involves Python.
The "tut" package is meant to perform an end-to-end
test of the "Waf" build-system, which is scarcely
used. The fix therefore is just to remove it from
the pipeline.
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amazon linux 2 ships a glibc that is too old to work with cuda toolkit
for aarch64.
For example:
`libcurand.so.10.2.10.50` requires the symbol `logf@@GLIBC_2.27`, but
glibc is at 2.26.
So, these specs are removed.
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This reverts commit 0d18c32bca8398e2daa736a940154caa235cbacc.
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* ci: restore coverage computation
* Mark "test_foreground_background" as xfail
* Mark "test_foreground_background_output" as xfail
* Make number of processes explicit, remove verbosity on linux
* Run coverage on just 3 Python jobs for linux
* Run coverage on just 3 Python jobs for linux
* Run coverage on just 2 Python jobs for linux
* Add back verbose, since before we didn't encounter the xdist internal error
* Reduce the workers to 2
* Try to use command line
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* ci: remove !docs from "core" filters
Written like it is now it causes package only PRs
to run with coverage.
* Try to skip job under condition, see if the workflow proceed
* Try to cancel a running CI job
* Simplify linux unit-tests, skip windows unit-tests on package PRs
* Reduce the inputs to unit-tests workflow
* Move control logic to main workflow, remove inputs
* Revert "Move control logic to main workflow, remove inputs"
This reverts commit 0c46fece4c49eb7a37585ec3ba651a31d7f958af.
* Do not compute "with_coverage" since it's always == to "core"
* Remove workflow dispatch from unit tests
* Revert "Revert "Move control logic to main workflow, remove inputs""
This reverts commit dd4e4a4e61a825901e736348fd044d37e88c90b5.
* Try to skip all from the main workflow
* Add back bootstrap to needed checks for "all"
* Restore the correct logic for conditionals
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* Add two no-op jobs named "all-prechecks" and "all"
These are a suggestion from @tgamblin, they are stable named markers we
can use from gitlab and possibly for required checks to make CI more
resilient to refactors changing the names of specific checks.
* Enable parallel testing using xdist for unit testing in CI
* Normalize tmp paths to deal with macos
* add -u flag compatibility to spack python
As of now, it is accepted and ignored. The usage with xdist, where it
is invoked specifically by `python -u spack python` which is then passed
`-u` by xdist is the entire reason for doing this. It should never be
used without explicitly passing -u to the executing python interpreter.
* use spack python in xdist to support python 2
When running on python2, spack has many import cycles unless started
through main. To allow that, this uses `spack python` as the
interpreter, leveraging the `-u` support so xdist doesn't error out when
it unconditionally requests unbuffered binary IO.
* Use shutil.move to account for tmpdir being in a separate filesystem sometimes
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This release allow to bootstrap patchelf from binaries.
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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.
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