tensorplay.functional.conj

tensorplay.functional.conj(input) → Tensor[source]

Returns a view of input with a flipped conjugate bit. If input has a non-complex dtype, this function just returns input.

Note

tensorplay.conj() performs a lazy conjugation, but the actual conjugated tensor can be materialized at any time using tensorplay.resolve_conj().

Warning

In the future, tensorplay.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 tensorplay.conj_physical() when input is of non-complex dtype to be compatible with this change.

Parameters:

input (Tensor) – the input tensor.

Example:

>>> x = tensorplay.tensor([-1 + 1j, -2 + 2j, 3 - 3j])
>>> x.is_conj()
False
>>> y = tensorplay.conj(x)
>>> y.is_conj()
True