On Tuesday, 29 September 2020 at 04:52:11 UTC, Shaleen Chhabra
wrote:
I wish to use load / save for sparse compressed matrices using
mir.
import mir.sparse;
auto sp = sparse!double(5, 8);
auto crs = sp.compress;
How can I save/load sparse compressed arrays in `npz` format?
(format: ``csc``, ``csr``, ``bsr``, ``dia`` or coo``)
Mir doesn't have I/O support for sparse tensors for now.
how can i again decompress the compressed sparse array to dense?
//
http://mir-algorithm.libmir.org/mir_ndslice_allocation.html#.slice
import mir.ndslice.allocation: slice;
// for DOK:
auto dense = slice(sp);
For crs you may need to iterate with byCoordinateValue
http://mir.libmir.org/mir_sparse.html#.byCoordinateValue
and initialize the dense slice.
To estimate the raw length one may need to iterate all rows and
get the maximum of the last element indices.
Thanks
Shaleen
