| Step | Arguments | | | Status |
|---|
| Start of Pipeline - (12 min in block) | | | | |
| node - (12 min in block) | | | | |
| node block - (12 min in block) | | | | |
| stage - (26 sec in block) | Declarative: Checkout SCM | | | |
| stage block (Declarative: Checkout SCM) - (25 sec in block) | | | | |
| checkout - (25 sec in self) | | | | |
| withEnv - (12 min in block) | GIT_BRANCH, GIT_COMMIT, GIT_PREVIOUS_COMMIT, GIT_PREVIOUS_SUCCESSFUL_COMMIT, GIT_URL | | | |
| withEnv block - (12 min in block) | | | | |
| stage - (5 min 7 sec in block) | Compile | | | |
| stage block (Compile) - (5 min 7 sec in block) | | | | |
| sh - (5 min 7 sec in self) |
source /etc/profile.d/larson-group.sh
module load gcc netcdf-fortran
./compile.py -debug -python
| | | |
| stage - (21 sec in block) | Loss Driver Test | | | |
| stage block (Loss Driver Test) - (21 sec in block) | | | | |
| catchError - (21 sec in block) | | | | |
| catchError block - (20 sec in block) | | | | |
| sh - (0.94 sec in self) | python tests/run_loss_metrics_test.py | | | |
| sh - (10 sec in self) |
# Allow the large Fortran automatic arrays used by these cases.
ulimit -s 8388608
python run_scripts/run_scm_loss.py -driver_test -output_dir output/new_tuner_test/loss_driver_fortran -cases bomex -fields cloud_frac,rcm
| | | |
| sh - (9.6 sec in self) |
# Allow the large Fortran automatic arrays used by these cases.
ulimit -s 8388608
python run_scripts/run_scm_loss.py -python -driver_test -output_dir output/new_tuner_test/loss_driver_python -cases bomex -fields cloud_frac,rcm
| | | |
| stage - (18 sec in block) | Simple Tuner Command | | | |
| stage block (Simple Tuner Command) - (17 sec in block) | | | | |
| catchError - (17 sec in block) | | | | |
| catchError block - (17 sec in block) | | | | |
| sh - (17 sec in self) |
# Allow the large Fortran automatic arrays used by these cases.
ulimit -s 8388608
python run_scripts/run_tuner_job.py -cases bomex -fields cloud_frac -param_ranges C8:0.2:0.8 -workers 4 -output_root output/tuner/new_tuner_test/simple -run_top complete -output_run_dir output/new_tuner_test/simple
| | | |
| script - (0.21 sec in block) | | | | |
| script block - (0.1 sec in block) | | | | |
| stage - (38 sec in block) | Complex Tuner Command | | | |
| stage block (Complex Tuner Command) - (38 sec in block) | | | | |
| catchError - (38 sec in block) | | | | |
| catchError block - (38 sec in block) | | | | |
| sh - (38 sec in self) |
# Allow the large Fortran automatic arrays used by these cases.
ulimit -s 8388608
python run_scripts/run_tuner_job.py -cases arm:68400:72000:3600 bomex:7200:18000:2700 -fields cloud_frac rcm -param_ranges C8:0.2:0.8 C11:0.1:1.0 -strategy resolve:0.9 -batch_size 4 -workers 2 -seed 1 -loss_mode centered_rmse_bias -aggregation_mode mean_max -poll_interval 1 -output_root output/tuner/new_tuner_test/complex -run_top both -top_n 1 -output_run_dir output/new_tuner_test/complex
| | | |
| script - (0.2 sec in block) | | | | |
| script block - (89 ms in block) | | | | |
| stage - (1.9 sec in block) | Sample History Analyzer | | | |
| stage block (Sample History Analyzer) - (1.7 sec in block) | | | | |
| catchError - (1.5 sec in block) | | | | |
| catchError block - (1.4 sec in block) | | | | |
| sh - (1.3 sec in self) |
python tests/analyze_tuner_sample_history.py output/tuner/new_tuner_test -metric scaled_rmse -min_samples 2 -require_param_variation
| | | |
| stage - (5 min 38 sec in block) | JAX tuner command | | | |
| stage block (JAX tuner command) - (5 min 38 sec in block) | | | | |
| node - (5 min 38 sec in block) | carson | | | |
| node block - (2 min 24 sec in block) | | | | |
| checkout - (9.6 sec in self) | | | | |
| withEnv - (2 min 14 sec in block) | GIT_BRANCH, GIT_COMMIT, GIT_PREVIOUS_COMMIT, GIT_PREVIOUS_SUCCESSFUL_COMMIT, GIT_URL | | | |
| withEnv block - (2 min 14 sec in block) | | | | |
| catchError - (2 min 14 sec in block) | | | | |
| catchError block - (2 min 14 sec in block) | | | | |
| sh - (2 min 14 sec in self) |
# Keep CPU model workers serialized in this bounded tuner regression.
python3 run_scripts/run_tuner_job.py -jax -cases bomex -fields cloud_frac wp2 -param_ranges C8:0.2:0.8 -strategy random:16 -batch_size 2 -workers 1 -seed 7 -output_root output/tuner/jax_regression -run_top never
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