Initialize random seed.
(seed=None, device='cuda', rank=0, world_size=1)
| 12 | |
| 13 | |
| 14 | def init_random_seed(seed=None, device='cuda', rank=0, world_size=1): |
| 15 | """Initialize random seed.""" |
| 16 | if seed is not None: |
| 17 | return seed |
| 18 | |
| 19 | # Make sure all ranks share the same random seed to prevent |
| 20 | # some potential bugs. Please refer to |
| 21 | # https://github.com/open-mmlab/mmdetection/issues/6339 |
| 22 | seed = np.random.randint(2**31) |
| 23 | if world_size == 1: |
| 24 | return seed |
| 25 | |
| 26 | if rank == 0: |
| 27 | random_num = torch.tensor(seed, dtype=torch.int32, device=device) |
| 28 | else: |
| 29 | random_num = torch.tensor(0, dtype=torch.int32, device=device) |
| 30 | dist.broadcast(random_num, src=0) |
| 31 | return random_num.item() |
| 32 | |
| 33 | |
| 34 | def set_random_seed(seed, deterministic=False): |