Re: How to work with and load/save sparse compressed matrices? (numir, mir.sparse)

[9il via Digitalmars-d-learn]

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

How to work with and load/save sparse compressed matrices? (numir, mir.sparse)

[Shaleen Chhabra via Digitalmars-d-learn]

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