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  1. from icosagon.weights import init_glorot
  2. import torch
  3. import numpy as np
  4. def test_init_glorot_01():
  5. torch.random.manual_seed(0)
  6. res = init_glorot(10, 20)
  7. torch.random.manual_seed(0)
  8. rnd = torch.rand((10, 20))
  9. init_range = np.sqrt(6.0 / 30)
  10. expected = -init_range + 2 * init_range * rnd
  11. assert torch.all(res == expected)