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GHA: Add NumPy SIMD dispatch diagnostic for flaky Weber_BMC2015 (#3078) #3231

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Merged
dweindl merged 1 commit into from
Sep 2, 2026
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GHA: Add NumPy SIMD dispatch diagnostic for flaky Weber_BMC2015 (#3078) #3231

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22 changes: 22 additions & 0 deletions .github/workflows/test_benchmark_collection_models.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -63,6 +63,28 @@ jobs:
AMICI_PARALLEL_COMPILE="" pip3 install -v --user \
$(ls -t python/sdist/dist/amici-*.tar.gz | head -1)[petab,test,vis,jax]

# Diagnostic for https://github.com/AMICI-dev/AMICI/issues/3078: root
# cause was NumPy's own runtime SIMD dispatch for transcendental ufuncs
# (np.power/np.exp, used when unscaling log10/log-scaled PEtab
# parameters) picking different, non-bit-identical kernels depending on
# which instruction-set tiers are available on the runner. This can't be
# inferred from generic hardware diagnostics (dweindl/gha-runner-diagnostics@v1,
# which runs before Python/NumPy even exist) -- it has to be queried
# from NumPy directly, after it's installed.
- name: NumPy SIMD dispatch state (#3078)
run: |
python3 -c "
import numpy as np
try:
from numpy._core import _multiarray_umath as mau
except ImportError:
from numpy.core import _multiarray_umath as mau
print('numpy:', np.__version__)
print('baseline:', mau.__cpu_baseline__)
print('dispatch (compiled in):', mau.__cpu_dispatch__)
print('features (active this run):', [k for k, v in mau.__cpu_features__.items() if v])
"

- name: Install test dependencies
run: |
python3 -m pip uninstall -y petab && python3 -m pip install git+https://github.com/petab-dev/libpetab-python.git@main \
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