update with slurm

python/tffpy/scripts/script_exp_solve_tff.py

@@ -102,7 +102,8 @@ if __name__ == '__main__':
             experiment.display_status()
         elif answer == 4:
             experiment.display_status()
-            batch_size = int(input('Batch size (#tasks per job)?'))
+            n_simultaneous_jobs = int(
+                input('Max number of simultaneous jobs?'))
             generate_slurm_script(script_file_path=__file__,
                                   xp_var_name='experiment',
                                   n_simultaneous_jobs=n_simultaneous_jobs,

python/tffpy/scripts/script_exp_variance.py

@@ -98,7 +98,6 @@ if __name__ == '__main__':
             experiment.display_status()
             n_simultaneous_jobs = int(
                 input('Max number of simultaneous jobs?'))
-            experiment.display_status()
             generate_slurm_script(script_file_path=__file__,
                                   xp_var_name='experiment',
                                   n_simultaneous_jobs=n_simultaneous_jobs,