torch.fmod

torch.fmod(input, other, *, out=None) → Tensor

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; raises RuntimeError for integer division by zero on CPU; Integer division by zero on GPU may return any value.

Parameters

• input (Tensor) – the dividend

• other (Tensor or Scalar) – the divisor

Keyword Arguments

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])