mirror of https://github.com/commaai/tinygrad.git
20 lines
849 B
Python
20 lines
849 B
Python
from tinygrad import Tensor
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from test.external.mlperf_unet3d.dice import DiceScore
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from examples.mlperf.metrics import dice_score
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import numpy as np
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import torch
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import unittest
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class ExternalTestMetrics(unittest.TestCase):
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def _test_metrics(self, tinygrad_metrics, orig_metrics, pred, label, atol=1e-8, rtol=1e-7):
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tinygrad_metrics_res = tinygrad_metrics(Tensor(pred), Tensor(label)).squeeze().numpy()
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orig_metrics_res = orig_metrics(torch.from_numpy(pred), torch.from_numpy(label)).numpy()
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np.testing.assert_allclose(tinygrad_metrics_res, orig_metrics_res, atol=atol, rtol=rtol)
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def test_dice(self):
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pred, label = np.random.rand(1, 3, 128, 128, 128).astype(np.float32), np.ones((1, 1, 128, 128, 128)).astype(np.uint8)
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self._test_metrics(dice_score, DiceScore(), pred, label)
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if __name__ == '__main__':
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unittest.main() |