|
Download README.md from KinGeorge/Dr.Sparse-RL-pool-ext: direct link, hf CLI and curl.
- Browser
- Download file 888 Bytes
-
https://huggingface.co/datasets/KinGeorge/Dr.Sparse-RL-pool-ext/resolve/main/README.md
- Command line
-
hf download hf://datasets/KinGeorge/Dr.Sparse-RL-pool-ext/README.md
-
curl -L -o README.md https://huggingface.co/datasets/KinGeorge/Dr.Sparse-RL-pool-ext/resolve/main/README.md
888 Bytes
| # Dr.Sparse SpGEMM training pool extension | |
| 498 SuiteSparse matrices in the Dr.Sparse harness `.bin` layout (int32 rows, cols, nnz; int32 row_ptr; | |
| int32 col_ind; float32 values; float32 x), split by rows*cols into level1_small (<1e7), | |
| level2_medium (<1e9), level3_large (<1e11) and level4_huge. Built by `level_sparse/extend_pool.py` | |
| (branch v2) from `pool_ext_selector375.txt` (the selector's 400-matrix pool minus the 25 OTF-100 | |
| overlaps and the 114 already in the RL pool) and `pool_ext_suitesparse.txt` (a stratified pick from | |
| the SuiteSparse index balancing nnz/row and problem kind). Matrices whose exact intermediate-product | |
| count exceeds 4e9 were skipped (manifest.csv, status too_many_products). None of the OTF-100 test | |
| matrices is included. | |
| python level_sparse/extend_pool.py --hf-download KinGeorge/Dr.Sparse-RL-pool-ext --out /big/disk/pool_ext --link-into level_sparse | |