Spaces:
Running
Running
File size: 1,117 Bytes
9d61c9b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 |
import unittest
import torch
from training.loss import LogSTFTMagnitudeLoss
class TestLogSTFTMagnitudeLoss(unittest.TestCase):
def test_log_stft_magnitude_loss(self):
# Test the log STFT magnitude loss function with random input tensors
loss_fn = LogSTFTMagnitudeLoss()
x_mag = torch.randn(4, 100, 513)
y_mag = torch.randn(4, 100, 513)
loss = loss_fn(x_mag, y_mag)
self.assertIsInstance(loss, torch.Tensor)
self.assertEqual(loss.shape, torch.Size([]))
def test_log_stft_magnitude_loss_nonzero(self):
# Test the log STFT magnitude loss function with non-zero loss
loss_fn = LogSTFTMagnitudeLoss()
x_mag = torch.tensor([[1, 4, 9, 64], [1, 1, 1, 2]])
y_mag = torch.tensor([[1, 8, 16, 256], [1, 1, 2, 2]])
loss = loss_fn(x_mag, y_mag)
self.assertIsInstance(loss, torch.Tensor)
self.assertEqual(loss.shape, torch.Size([]))
expected = torch.tensor(0.4185)
self.assertTrue(torch.allclose(loss, expected, rtol=1e-4, atol=1e-4))
if __name__ == "__main__":
unittest.main()
|