Coverage for pySDC/projects/RayleighBenard/run_experiment.py: 52%

54 statements  

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1def parse_args(): 

2 import argparse 

3 

4 def cast_to_bool(me): 

5 return False if me in ['False', '0', 0] else True 

6 

7 def str_to_procs(me): 

8 procs = me.split('/') 

9 assert len(procs) == 3 

10 return [int(p) for p in procs] 

11 

12 parser = argparse.ArgumentParser() 

13 parser.add_argument('--useGPU', type=cast_to_bool, help='Toggle for GPUs', default=False) 

14 parser.add_argument( 

15 '--mode', 

16 type=str, 

17 help='Mode for this script', 

18 default=None, 

19 choices=['run', 'plot', 'benchmark'], 

20 ) 

21 parser.add_argument('--config', type=str, help='Configuration to load', default=None) 

22 parser.add_argument('--restart_idx', type=int, help='Restart from file by index', default=0) 

23 parser.add_argument('--procs', type=str_to_procs, help='Processes in steps/sweeper/space', default='1/1/1') 

24 parser.add_argument('--res', type=int, help='Space resolution along first axis', default=-1) 

25 parser.add_argument('--dt', type=float, help='(Starting) Step size', default=-1) 

26 parser.add_argument( 

27 '--logger_level', type=int, help='Logger level on the first rank in space and in the sweeper', default=15 

28 ) 

29 parser.add_argument('-o', type=str, help='output path', default='./') 

30 parser.add_argument( 

31 '--distribution', 

32 type=str, 

33 help='distribute tasks', 

34 default='space_first', 

35 choices=['space_first', 'time_first'], 

36 ) 

37 

38 return vars(parser.parse_args()) 

39 

40 

41def run_experiment(args, config, **kwargs): 

42 import pickle 

43 import os 

44 

45 from pySDC.implementations.controller_classes.controller_MPI import controller_MPI 

46 from pySDC.implementations.controller_classes.controller_nonMPI import controller_nonMPI 

47 from pySDC.helpers.stats_helper import filter_stats 

48 

49 type(config).base_path = args['o'] 

50 os.makedirs(f'{args["o"]}/data', exist_ok=True) 

51 

52 if args['mode'] == 'benchmark': 

53 config.prepare_for_benchmark() 

54 

55 description = config.get_description( 

56 useGPU=args['useGPU'], MPIsweeper=args['procs'][1] > 1, res=args['res'], dt=args['dt'], **kwargs 

57 ) 

58 controller_params = config.get_controller_params(logger_level=args['logger_level']) 

59 

60 if args['mode'] == 'benchmark': 

61 config.prepare_description_for_benchmark(description, controller_params) 

62 

63 if args['useGPU']: 

64 from pySDC.implementations.hooks.log_GPU_timings import GPUTimings 

65 

66 controller_params['hook_class'].append(GPUTimings) 

67 

68 # Time-parallel runs need CUDA-aware MPI, which conda-forge's OpenMPI is built with and ships 

69 # switched off: export `OMPI_MCA_opal_cuda_support=true` before launching. Without it the 

70 # point-to-point calls in `controller_MPI` hand MPI a device pointer it will not read. 

71 if config.comms[0].size > 1: 

72 controller = controller_MPI(controller_params, description, config.comms[0]) 

73 prob = controller.S.levels[0].prob 

74 else: 

75 controller = controller_nonMPI(num_procs=1, controller_params=controller_params, description=description) 

76 prob = controller.MS[0].levels[0].prob 

77 

78 u0, t0 = config.get_initial_condition(prob, restart_idx=args['restart_idx']) 

79 

80 if args['mode'] == 'benchmark': 

81 config.prepare_caches_for_benchmark(prob, controller) 

82 

83 config.prepare_caches(prob) 

84 

85 uend, stats = controller.run(u0=u0, t0=t0, Tend=config.Tend) 

86 

87 combined_stats = filter_stats(stats, comm=config.comm_world) 

88 

89 if config.comm_world.rank == config.comm_world.size - 1: 

90 path = f'{config.base_path}/data/{config.get_path()}-stats-whole-run.pickle' 

91 with open(path, 'wb') as file: 

92 pickle.dump(combined_stats, file) 

93 print(f'Stored stats in {path}', flush=True) 

94 

95 return uend 

96 

97 

98if __name__ == '__main__': 

99 from pySDC.projects.RayleighBenard.RBC3D_configs import get_config 

100 

101 args = parse_args() 

102 

103 config = get_config(args) 

104 

105 if args['mode'] in ['run', 'benchmark']: 

106 run_experiment(args, config) 

107 else: 

108 raise NotImplementedError