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LysandreJik
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Oct 12, 2023
ydshieh
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Oct 12, 2023
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| EXPECTED_MEAN = torch.tensor( | ||
| [[-11.2879, -11.2628, -11.2498, -11.2534, -11.2676, -11.2638, -11.2501, -11.2431]], dtype=torch.float16 | ||
| [[-11.4726, -11.1495, -11.2694, -11.2223, -10.9452, -11.0663, -11.0031, -11.1028]], dtype=torch.float16 | ||
| ) | ||
| torch.testing.assert_close(out.cpu().mean(-1), EXPECTED_MEAN, atol=1e-4, rtol=1e-4) | ||
| # change dtype to `torch.float32` before calling `mean` to avoid `nan` values | ||
| torch.testing.assert_close(out.cpu().to(torch.float32).mean(-1), EXPECTED_MEAN, atol=1e-4, rtol=1e-4) | ||
| # fmt: off | ||
| EXPECTED_SLICE = torch.tensor([-16.9670, -16.9647, -16.9649, -16.9630, -16.9577, -16.9623, -17.0164, -16.9673, -16.9648, -16.9668, -17.0160, -16.9651, -17.0156, -16.9668, -16.9655, -16.9653, -16.9665, -16.9682, -17.0112, -16.9667, -16.9717, -16.9654, -16.9650, -16.9701, -16.9657, -17.0160, -16.9676, -17.0138, -16.9610, -16.9695]) | ||
| EXPECTED_SLICE = torch.tensor([16.9062, 16.9062, 16.9062, 16.9062, 16.8906, 16.9062, 16.9531, 16.9062, 16.9062, 16.9062, 16.9531, 16.9062, 16.9531, 16.9062, 16.9062, 16.9062, 16.9062, 16.9062, 16.9531, 16.9062, 16.9062, 16.9062, 16.9062, 16.9062, 16.9062, 16.9531, 16.9062, 16.9531, 16.9062, 16.9062]) |
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need to update these values as using 8-bit change those
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|
Finally get it to work completely by also using |
|
The documentation is not available anymore as the PR was closed or merged. |
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What does this PR do?
Fix
PersimmonIntegrationTestOOM: just use 8-bit