adds available_device to test_precision_recall_curve #3335 #3368
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vfdev-5
reviewed
Mar 28, 2025
vfdev-5
reviewed
Mar 29, 2025
(otherwize type error on on MPS)
vfdev-5
reviewed
Apr 14, 2025
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| assert pytest.approx(precision) == sk_precision | ||
| assert pytest.approx(recall) == sk_recall | ||
| assert np.allclose(precision, sk_precision, rtol=1e-6) |
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from what I understand, pytest.approx may convert float32 parameter into float64. This would break on MPS
…ision, recall and thresholds
vfdev-5
reviewed
Apr 24, 2025
Comment on lines
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| def to_numpy_float32(x): | ||
| if isinstance(x, torch.Tensor): | ||
| if x.device.type == "mps": | ||
| x = x.to("cpu") # Explicitly move from MPS to CPU | ||
| return x.detach().to(dtype=torch.float32).numpy() | ||
| elif isinstance(x, np.ndarray): | ||
| return x.astype(np.float32) | ||
| return x |
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Let's not use this pattern but use what we did previously
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