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add tests for l1_loss

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Francis Lata
2024-12-23 17:35:22 +00:00
parent 03eda98a31
commit bbea2111ba
1 changed files with 13 additions and 1 deletions
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14
test/external/external_test_losses.py vendored
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@@ -1,7 +1,7 @@
from tinygrad import Tensor
from test.external.mlperf_unet3d.dice import DiceCELoss
from test.external.mlperf_retinanet.focal_loss import sigmoid_focal_loss as ref_sigmoid_focal_loss
from examples.mlperf.losses import dice_ce_loss, sigmoid_focal_loss
from examples.mlperf.losses import dice_ce_loss, sigmoid_focal_loss, l1_loss
import numpy as np
import torch
@@ -40,6 +40,18 @@ class TestSigmoidFocalLoss(TestLoss):
pred, tgt = self._generate_samples()
self.assert_loss(pred, tgt, sigmoid_focal_loss, ref_sigmoid_focal_loss, rtol=1e-4, alpha=0.58, gamma=2, reduction=reduction)
class TestL1Loss(TestLoss):
def _generate_samples(self, shape):
return np.random.randint(shape).astype(np.float32), np.random.randint(shape)
def test_loss(self):
N, C, H, W = 3, 4, 5, 6
shapes = ((N, C), (N, C, H), (N, C, H, W))
for reduction in ["mean", "sum", "none"]:
for shape in shapes:
pred, tgt = self._generate_samples(shape)
self.assert_loss(pred, tgt, l1_loss, torch.nn.functional.l1_loss, reduction=reduction)
if __name__ == '__main__':
unittest.main()