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test: run tests with a single OpenMP thread - #210
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Bazel runs tests in parallel, and torch / numpy start one OpenMP / BLAS thread per core in every test process, so the processes oversubscribe the CPU. With the 4 python versions of the lidar test running at once on 16 cores, each run took ~390s instead of ~50s with a single thread, and the full test suite took ~530s instead of ~175s.
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Summary
Sets
OMP_NUM_THREADS=1for all tests in.bazelrc.Bazel runs tests in parallel, and torch / numpy start one OpenMP / BLAS thread per core in every test process. On CI runners the test processes oversubscribe the CPU, which is why
pytest_lidartakes 330-370s per python version on CI but 80s when run alone.Measurements
Local, restricted to 16 cores (
--run_under="taskset -c 0-15",--local_resources=cpu=16) to resemble the CI runner:OMP_NUM_THREADS=1pytest_lidar(4 python versions in parallel), slowestbazel test //...On CI (
build-and-test, all 71 tests):release/19push run)bazel test ...pytest_lidar)build-and-testjob