|
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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