| 1234567891011121314151617181920 |
- from tinygrad import Tensor
- from test.external.mlperf_unet3d.dice import DiceScore
- from examples.mlperf.metrics import dice_score
- import numpy as np
- import torch
- import unittest
- class ExternalTestMetrics(unittest.TestCase):
- def _test_metrics(self, tinygrad_metrics, orig_metrics, pred, label, atol=1e-8, rtol=1e-7):
- tinygrad_metrics_res = tinygrad_metrics(Tensor(pred), Tensor(label)).squeeze().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=atol, rtol=rtol)
- def test_dice(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_metrics(dice_score, DiceScore(), pred, label)
- if __name__ == '__main__':
- unittest.main()
|