|
1 | | -import random |
2 | | -import numpy as np |
3 | | -import torch |
4 | | -from vllm.platforms.interface import Platform |
5 | | - |
6 | | -def test_seed_behavior(): |
7 | | - # Test with seed=None |
8 | | - Platform.seed_everything(None) |
9 | | - random_value_1 = random.randint(0, 100) |
10 | | - np_random_value_1 = np.random.randint(0, 100) |
11 | | - torch_random_value_1 = torch.randint(0, 100, (1,)).item() |
12 | | - |
13 | | - Platform.seed_everything(None) |
14 | | - random_value_2 = random.randint(0, 100) |
15 | | - np_random_value_2 = np.random.randint(0, 100) |
16 | | - torch_random_value_2 = torch.randint(0, 100, (1,)).item() |
17 | | - |
18 | | - assert random_value_1 != random_value_2 |
19 | | - assert np_random_value_1 != np_random_value_2 |
20 | | - assert torch_random_value_1 != torch_random_value_2 |
21 | | - |
22 | | - # Test with a specific seed |
23 | | - Platform.seed_everything(42) |
24 | | - random_value_3 = random.randint(0, 100) |
25 | | - np_random_value_3 = np.random.randint(0, 100) |
26 | | - torch_random_value_3 = torch.randint(0, 100, (1,)).item() |
27 | | - |
28 | | - Platform.seed_everything(42) |
29 | | - random_value_4 = random.randint(0, 100) |
30 | | - np_random_value_4 = np.random.randint(0, 100) |
31 | | - torch_random_value_4 = torch.randint(0, 100, (1,)).item() |
32 | | - |
33 | | - assert random_value_3 == random_value_4 |
34 | | - assert np_random_value_3 == np_random_value_4 |
35 | | - assert torch_random_value_3 == torch_random_value_4 |
| 1 | +# SPDX-License-Identifier: Apache-2.0 |
| 2 | +import random |
| 3 | + |
| 4 | +import numpy as np |
| 5 | +import torch |
| 6 | + |
| 7 | +from vllm.platforms.interface import Platform |
| 8 | + |
| 9 | + |
| 10 | +def test_seed_behavior(): |
| 11 | + # Test with seed=None |
| 12 | + Platform.seed_everything(None) |
| 13 | + random_value_1 = random.randint(0, 100) |
| 14 | + np_random_value_1 = np.random.randint(0, 100) |
| 15 | + torch_random_value_1 = torch.randint(0, 100, (1, )).item() |
| 16 | + |
| 17 | + Platform.seed_everything(None) |
| 18 | + random_value_2 = random.randint(0, 100) |
| 19 | + np_random_value_2 = np.random.randint(0, 100) |
| 20 | + torch_random_value_2 = torch.randint(0, 100, (1, )).item() |
| 21 | + |
| 22 | + assert random_value_1 != random_value_2 |
| 23 | + assert np_random_value_1 != np_random_value_2 |
| 24 | + assert torch_random_value_1 != torch_random_value_2 |
| 25 | + |
| 26 | + # Test with a specific seed |
| 27 | + Platform.seed_everything(42) |
| 28 | + random_value_3 = random.randint(0, 100) |
| 29 | + np_random_value_3 = np.random.randint(0, 100) |
| 30 | + torch_random_value_3 = torch.randint(0, 100, (1, )).item() |
| 31 | + |
| 32 | + Platform.seed_everything(42) |
| 33 | + random_value_4 = random.randint(0, 100) |
| 34 | + np_random_value_4 = np.random.randint(0, 100) |
| 35 | + torch_random_value_4 = torch.randint(0, 100, (1, )).item() |
| 36 | + |
| 37 | + assert random_value_3 == random_value_4 |
| 38 | + assert np_random_value_3 == np_random_value_4 |
| 39 | + assert torch_random_value_3 == torch_random_value_4 |
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