Read the note for more details and examples, and refer to the general documentation for additional information. 
[Beta] Conjugate View
PyTorch’s conjugation for complex tensors (torch.conj()) is now a constant time operation, and returns a view of the input tensor with a conjugate bit set as can be seen by calling torch.is_conj() . This has already been leveraged in various other PyTorch operations like matrix multiplication, dot product etc., to fuse conjugation with the operation leading to significant performance gain and memory savings on both CPU and CUDA.
Distributed Training
Distributed Training Releases Now in Stable