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Dec 12, 2020
| tensor = tensor.float() | ||
| if reference.dtype == torch.long: | ||
| reference = reference.float() | ||
| test_passed = torch.allclose(tensor, reference, rtol=1/2 ** 15) |
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Q: Does this look strange? (to use rtol with 1/2 ** 15)
I think this might also be changed to 1e-4<-- this is the biggest power of 10 that we could use to "catch" the precision given by 2**16 (< 10^5)
knottb
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Dec 18, 2020
| if self._scale > 1: | ||
| correction = (tensor < 0).long() | ||
| dividend = tensor / self._scale - correction | ||
| dividend = tensor // self._scale - correction |
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Thanks for noticing this. The definitions of truediv has been changed recently in PyTorch for the torch.long dtype. The previous behavior was identical to floordiv.
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Dec 18, 2020
Summary: Pull Request resolved: fairinternal/CrypTen#203 - Modified crypten.load to allow the input `f` to be None. - Added assert to ensure exactly one of `f` or `preloaded` is None - Updated unit tests to ensure preloaded loads correctly. Reviewed By: knottb Differential Revision: D21212000 fbshipit-source-id: 82042e208a3a95328ec5472dba9ce964d8033075
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Types of changes
Use
true_divwhen decoding a value - this would give "bad" values when decoding float encoded numbers.Ex:
fp.encode(4.6)-->301465-->fp.decode(301465)-->4Motivation and Context / Related issue
Correct decoding of float encoded values
How Has This Been Tested (if it applies)
Checklist