(self, seed=None)
| 26 | class RandomContext: |
| 27 | '''Save and restore state of PyTorch, NumPy, Python RNGs.''' |
| 28 | def __init__(self, seed=None): |
| 29 | outside_state = RandomState() |
| 30 | |
| 31 | random.seed(seed) |
| 32 | np.random.seed(seed) |
| 33 | if seed is None: |
| 34 | torch.manual_seed(random.randint(-sys.maxsize - 1, sys.maxsize)) |
| 35 | else: |
| 36 | torch.manual_seed(seed) |
| 37 | # torch.cuda.manual_seed_all is called by torch.manual_seed |
| 38 | self.inside_state = RandomState() |
| 39 | |
| 40 | outside_state.restore() |
| 41 | |
| 42 | self._active = False |
| 43 | |
| 44 | def __enter__(self): |
| 45 | if self._active: |
nothing calls this directly
no test coverage detected