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``)

how can i again decompress the compressed sparse array to dense?

Thanks
Shaleen

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