Complex dtype

[daniellga]

Hi! I noticed from dtype.R that cdouble is the same as cfloat64.

torch_cfloat <- function() torch_dtype$new(cpp_torch_cfloat())
torch_cfloat32 <- function() torch_dtype$new(cpp_torch_cfloat())
torch_cdouble <- function() torch_dtype$new(cpp_torch_cdouble())
torch_cfloat64 <- function() torch_dtype$new(cpp_torch_cdouble())

In pytorch they use cdouble as the same as torch.complex128 (2 torch.float64 values). Are the names really supposed to be different from pytorch? It confused me a little when I saw that as I didn't know if cfloat64 was representing 2 32 bit values or 64 bits for each value. So I went to check on pytorch's documentation, which made it clear (2nd print).
Also, I don't know if intentional or not, I think this torch package is missing the torch.complex32 (chalf) implementation.

[skeydan]

Hi, thanks for reporting this! You're right, that's actually a bug that should be fixed.