torch.sgn — PyTorch 2.5 documentation (original) (raw)

torch.sgn(input, *, out=None) → Tensor¶

This function is an extension of torch.sign() to complex tensors. It computes a new tensor whose elements have the same angles as the corresponding elements of input and absolute values (i.e. magnitudes) of one for complex tensors and is equivalent to torch.sign() for non-complex tensors.

outi={0∣inputi∣==0inputi∣inputi∣otherwise\text{out}_{i} = \begin{cases} 0 & |\text{{input}}_i| == 0 \\ \frac{{\text{{input}}_i}}{|{\text{{input}}_i}|} & \text{otherwise} \end{cases}

Parameters

input (Tensor) – the input tensor.

Keyword Arguments

out (Tensor, optional) – the output tensor.

Example:

t = torch.tensor([3+4j, 7-24j, 0, 1+2j]) t.sgn() tensor([0.6000+0.8000j, 0.2800-0.9600j, 0.0000+0.0000j, 0.4472+0.8944j])