File size: 1,056 Bytes
0ea5594 | 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 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | import os
import yaml
import random
import numpy
import torch
def save_config(cfg, exp_dir):
if not os.path.exists(exp_dir):
os.makedirs(exp_dir, exist_ok=True)
else:
print(
f"save model to {exp_dir}, old configs, checkpoints, and evaluation results will be overwritten."
)
with open(os.path.join(exp_dir, "config.yaml"), "w") as f:
yaml.dump(vars(cfg), f)
def deterministic(seed):
torch.manual_seed(seed)
torch.cuda.manual_seed(seed)
numpy.random.seed(seed)
random.seed(seed)
torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = False
def set_cuda_visible_device(cfg, outmost=True):
if cfg.device == "cpu":
return
if outmost:
cuda_num = cfg.device.split(":")[-1]
os.environ["CUDA_VISIBLE_DEVICES"] = cuda_num
for key, value in cfg.__dict__.items():
if key == "device":
cfg.device = "cuda:0"
if hasattr(value, "__dict__"):
set_cuda_visible_device(value, outmost=False)
|