Coverage for pySDC/projects/GPU/run_experiment.py: 0%

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', 'render', 'plot_series', 'video'], 

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( 

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

27 ) 

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

29 

30 return vars(parser.parse_args()) 

31 

32 

33def run_experiment(args, config, **kwargs): 

34 import pickle 

35 

36 # from pySDC.implementations.controller_classes.controller_MPI import controller_MPI 

37 from pySDC.implementations.controller_classes.controller_nonMPI import controller_nonMPI 

38 from pySDC.helpers.stats_helper import filter_stats 

39 

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

41 description = config.get_description( 

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

43 ) 

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

45 

46 if args['useGPU']: 

47 from pySDC.implementations.hooks.log_timings import GPUTimings 

48 

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

50 

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

52 assert ( 

53 config.comms[0].size == 1 

54 ), 'Have not figured out how to do MPI controller with GPUs yet because I need NCCL for that!' 

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

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

57 

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

59 

60 config.prepare_caches(prob) 

61 

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

63 

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

65 

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

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

68 # path = f'/p/project1/ccstma/baumann7/pySDC/pySDC/projects/GPU/data/{config.get_path()}-stats-whole-run.pickle' 

69 with open(path, 'wb') as file: 

70 pickle.dump(combined_stats, file) 

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

72 

73 return uend 

74 

75 

76def plot_experiment(args, config): # pragma: no cover 

77 import gc 

78 import matplotlib.pyplot as plt 

79 

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

81 description = config.get_description() 

82 

83 P = description['problem_class'](**description['problem_params']) 

84 

85 comm = config.comm_world 

86 

87 for idx in range(args['restart_idx'], 9999, comm.size): 

88 try: 

89 fig = config.plot(P=P, idx=idx + comm.rank, n_procs_list=args['procs']) 

90 except FileNotFoundError: 

91 break 

92 

93 path = f'simulation_plots/{config.get_path(ranks=[0,0,0])}-{idx+comm.rank:06d}.png' 

94 fig.savefig(path, dpi=300, bbox_inches='tight') 

95 print(f'{comm.rank} Stored figure {path!r}', flush=True) 

96 

97 if args['mode'] == 'render': 

98 plt.pause(1e-9) 

99 

100 plt.close(fig) 

101 del fig 

102 gc.collect() 

103 

104 

105def plot_series(args, config): # pragma: no cover 

106 import numpy as np 

107 import gc 

108 import matplotlib.pyplot as plt 

109 from pySDC.helpers.plot_helper import figsize_by_journal, setup_mpl 

110 

111 setup_mpl() 

112 

113 fig, axs = plt.subplots( 

114 3, 3, figsize=figsize_by_journal("TUHH_thesis", 1.0, 1.2), sharex=True, sharey=True, layout="compressed" 

115 ) 

116 

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

118 description = config.get_description() 

119 

120 P = description['problem_class'](**description['problem_params']) 

121 

122 idxs = np.linspace(0, config.num_frames * 0.9, 9, dtype=int) 

123 

124 for idx, ax in zip(idxs, axs.flatten()): 

125 try: 

126 _fig = config.plot(P=P, idx=idx, n_procs_list=args['procs'], ax=ax) 

127 except FileNotFoundError: 

128 break 

129 

130 plt.close(_fig) 

131 del _fig 

132 gc.collect() 

133 

134 for ax in axs.flatten(): 

135 if ax != axs[-1, 0]: 

136 ax.set_xlabel('') 

137 ax.set_ylabel('') 

138 

139 path = f'plots/{config.get_path(ranks=[0,0,0])}-series.pdf' 

140 fig.savefig(path, dpi=300) 

141 print(f'Stored figure {path!r}', flush=True) 

142 plt.show() 

143 

144 

145def make_video(args, config): # pragma: no cover 

146 comm = config.comm_world 

147 if comm.rank > 0: 

148 return None 

149 

150 import subprocess 

151 

152 path = f'simulation_plots/{config.get_path(ranks=[0,0,0])}-%06d.png' 

153 path_target = f'videos/{args["config"]}.mp4' 

154 

155 cmd = f'ffmpeg -i {path} -pix_fmt yuv420p -r 9 -s 2048:1536 -y {path_target}'.split() 

156 

157 subprocess.run(cmd) 

158 

159 

160if __name__ == '__main__': 

161 from pySDC.projects.GPU.configs.base_config import get_config 

162 

163 args = parse_args() 

164 

165 config = get_config(args) 

166 

167 if args['mode'] == 'run': 

168 run_experiment(args, config) 

169 elif args['mode'] in ['plot', 'render']: # pragma: no cover 

170 plot_experiment(args, config) 

171 elif args['mode'] == 'plot_series': # pragma: no cover 

172 plot_series(args, config) 

173 elif args['mode'] == 'video': # pragma: no cover 

174 make_video(args, config)