File size: 668 Bytes
c22b544 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | 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
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