library("SpaNorm")
diag_mat(1:3, backend = "cpu") [,1] [,2] [,3]
[1,] 1 0 0
[2,] 0 2 0
[3,] 0 0 3
As diag, but returns a torch tensor (dense, to match the CPU fallback’s dense output) when an accelerator is active.
diag_mat(vec, backend = c("auto", "cpu", "gpu"))
vec
|
a numeric vector (or torch tensor). |
backend
|
one of “auto” (default), “cpu” or “gpu”.
|
a diagonal matrix (base matrix or torch tensor).