| import random | |
| import numpy as np | |
| import torch | |
| import os | |
| def set_seed(seed=42): | |
| random.seed(seed) | |
| np.random.seed(seed) | |
| torch.manual_seed(seed) | |
| torch.cuda.manual_seed_all(seed) | |
| # cudnnの再現性確保オプション | |
| torch.backends.cudnn.deterministic = True | |
| torch.backends.cudnn.benchmark = False | |
| def get_event_label(): | |
| fname = os.path.join( | |
| os.path.dirname(__file__), | |
| "data/event_label/output.csv" | |
| ) | |
| ret = dict() | |
| for l in open(fname, "r").readlines(): | |
| l = l.strip("\n") | |
| aid, eids = l.split(":") | |
| ret[int(aid)] = [int(x) for x in eids.split(",")] | |
| return ret | |