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- from tinygrad import Tensor
- from test.external.mlperf_unet3d.dice import DiceCELoss
- from examples.mlperf.losses import dice_ce_loss
- import numpy as np
- import torch
- import unittest
- class ExternalTestLosses(unittest.TestCase):
- def _test_losses(self, tinygrad_metrics, orig_metrics, pred, label):
- tinygrad_metrics_res = tinygrad_metrics(Tensor(pred), Tensor(label)).numpy()
- orig_metrics_res = orig_metrics(torch.from_numpy(pred), torch.from_numpy(label)).numpy()
- np.testing.assert_allclose(tinygrad_metrics_res, orig_metrics_res, atol=1e-4)
- def test_dice_ce(self):
- pred, label = np.random.rand(1, 3, 128, 128, 128).astype(np.float32), np.ones((1, 1, 128, 128, 128)).astype(np.uint8)
- self._test_losses(dice_ce_loss, DiceCELoss(True, True, "NCDHW", False), pred, label)
- if __name__ == '__main__':
- unittest.main()
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