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Showing content from https://docs.pytorch.org/docs/main/generated/torch.fmod.html below:

torch.fmod — PyTorch main documentation

Applies C++’s std::fmod entrywise. The result has the same sign as the dividend input and its absolute value is less than that of other.

>>> torch.fmod(torch.tensor([-3., -2, -1, 1, 2, 3]), 2)
tensor([-1., -0., -1.,  1.,  0.,  1.])
>>> torch.fmod(torch.tensor([1, 2, 3, 4, 5]), -1.5)
tensor([1.0000, 0.5000, 0.0000, 1.0000, 0.5000])

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