torch.conj

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

Computes the element-wise conjugate of the given input tensor. If :attr`input` has a non-complex dtype, this function just returns input.

Warning

In the future, torch.conj() may return a non-writeable view for an input of non-complex dtype. It’s recommended that programs not modify the tensor returned by torch.conj() when input is of non-complex dtype to be compatible with this change.

outi=conj(inputi)\text{out}_{i} = conj(\text{input}_{i})
Parameters

input (Tensor) – the input tensor.

Keyword Arguments

out (Tensor, optional) – the output tensor.

Example:

>>> torch.conj(torch.tensor([-1 + 1j, -2 + 2j, 3 - 3j]))
tensor([-1 - 1j, -2 - 2j, 3 + 3j])

© 2019 Torch Contributors
Licensed under the 3-clause BSD License.
https://pytorch.org/docs/1.8.0/generated/torch.conj.html