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| import sys, os | |
| sys.path.insert(0, os.path.dirname(__file__)) | |
| import torch | |
| import random | |
| import numpy as np | |
| from config import * | |
| from tqdm import tqdm | |
| def seed_everything(seed=42): | |
| random.seed(seed) | |
| np.random.seed(seed) | |
| torch.manual_seed(seed) | |
| torch.cuda.manual_seed(seed) | |
| torch.cuda.manual_seed_all(seed) # Multiple GPUs | |
| torch.backends.cudnn.deterministic = True | |
| torch.backends.cudnn.benchmark = False | |
| os.environ["PYTHONHASHSEED"] = str(seed) | |
| # print(torch.cuda.is_available()) # True | |
| # print(torch.cuda.device_count()) # 1 | |
| # print(torch.cuda.get_device_name(0)) # NVIDIA GeForce RTX 3050 Laptop GPU |