diff --git a/python/tffpy/scripts/script_exp_solve_tff.py b/python/tffpy/scripts/script_exp_solve_tff.py index 3cebe337de35065b3dfa2eae7db78cfde6ceefd8..6ad389d0617c0ec7c5f6c1ee7ce78b1b3c0a895d 100644 --- a/python/tffpy/scripts/script_exp_solve_tff.py +++ b/python/tffpy/scripts/script_exp_solve_tff.py @@ -52,12 +52,11 @@ Run this script to handle the main experiment :class:`SolveTffExperiment`. .. moduleauthor:: Valentin Emiya """ -from yafe.utils import generate_oar_script - import matplotlib.pyplot as plt from tffpy.experiments.exp_solve_tff import \ SolveTffExperiment, create_and_run_light_experiment +from tffpy.experiments.yafe_slurm import generate_slurm_script try: @@ -77,7 +76,7 @@ if __name__ == '__main__': input_msg = '\n'.join(['1 - Create and run light experiment', '2 - Display results of light experiment', '3 - Full experiment: create full experiment', - '4 - Generate OAR script', + '4 - Generate Slurm script', '5 - Full experiment: collect results', '6 - Full experiment: download results', '7 - Full experiment: display results', @@ -104,12 +103,12 @@ if __name__ == '__main__': elif answer == 4: experiment.display_status() batch_size = int(input('Batch size (#tasks per job)?')) - generate_oar_script(script_file_path=__file__, - xp_var_name='experiment', - batch_size=batch_size, - oar_walltime='01:00:00', - activate_env_command='source activate py36', - use_gpu=False) + generate_slurm_script(script_file_path=__file__, + xp_var_name='experiment', + n_simultaneous_jobs=n_simultaneous_jobs, + slurm_walltime='02:00:00', + activate_env_command='source activate py36', + use_cpu_gpu='cpu') elif answer == 5: experiment.collect_results() experiment.display_status() diff --git a/python/tffpy/scripts/script_exp_variance.py b/python/tffpy/scripts/script_exp_variance.py index 7155cdbebd0dfa73a3e9c92fc9d857ad0d55d745..5ddb2b4de600368608e3c3985af83deb6c47745f 100644 --- a/python/tffpy/scripts/script_exp_variance.py +++ b/python/tffpy/scripts/script_exp_variance.py @@ -104,7 +104,7 @@ if __name__ == '__main__': n_simultaneous_jobs=n_simultaneous_jobs, slurm_walltime='02:00:00', activate_env_command='source activate py36', - use_gpu=False) + use_cpu_gpu='cpu') elif answer == 5: experiment.collect_results() experiment.display_status()