torch.fmod
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torch.fmod(input, other, *, out=None) → Tensor
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Computes the element-wise remainder of division.
The dividend and divisor may contain both for integer and floating point numbers. The remainder has the same sign as the dividend
input
.Supports broadcasting to a common shape, type promotion, and integer and float inputs.
Note
When the divisor is zero, returns
NaN
for floating point dtypes on both CPU and GPU; raisesRuntimeError
for integer division by zero on CPU; Integer division by zero on GPU may return any value.- Parameters
- Keyword Arguments
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out (Tensor, optional) – the output tensor.
Example:
>>> 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])
© 2019 Torch Contributors
Licensed under the 3-clause BSD License.
https://pytorch.org/docs/1.8.0/generated/torch.fmod.html