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Sparse matrix (DCSR_matrix) multiplication #1251

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511e069
Support latest PyTorch release
ClaudiaComito Nov 1, 2022
6c69a58
Merge branch 'release/1.2.x' into create-pull-request/patch
ClaudiaComito Nov 3, 2022
8136c3c
Update setup.py
ClaudiaComito Nov 3, 2022
2b05d3e
Specify allclose tolerance in test_inv()
ClaudiaComito Nov 5, 2022
cbb2f7c
Increase allclose tolerance in test_inv
ClaudiaComito Nov 5, 2022
92e10fd
Increase allclose tolerance for distributed floating-point operations
ClaudiaComito Nov 7, 2022
73ebe07
fix working branches selection
ClaudiaComito Mar 31, 2023
271d8b8
add pr workflow (#1127)
mtar Apr 18, 2023
117745f
Support latest PyTorch release
ClaudiaComito Apr 27, 2023
ebdcefe
Merge branch 'create-pull-request/patch' of github.com:helmholtz-anal…
ClaudiaComito Apr 27, 2023
6ec71f7
expand version check to torch 2
ClaudiaComito Apr 27, 2023
1a6be7f
dndarray.item() to return ValueError if dndarray.size > 1
ClaudiaComito Apr 27, 2023
4bee685
Merge branch 'main' into create-pull-request/patch
ClaudiaComito Apr 27, 2023
f0d50e3
Merge branch 'main' of https://github.com/helmholtz-analytics/heat
Mystic-Slice Jul 31, 2023
f5bc90b
Merge branch 'main' of https://github.com/helmholtz-analytics/heat
Mystic-Slice Aug 29, 2023
538bd21
Merge branch 'main' of https://github.com/helmholtz-analytics/heat
Mystic-Slice Oct 14, 2023
4faa50e
Initial rough solution
Mystic-Slice Oct 21, 2023
751c48f
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Oct 21, 2023
0983ee5
Merge branch 'main' of https://github.com/helmholtz-analytics/heat in…
Mystic-Slice Oct 21, 2023
319d126
Merge branch 'sparse-matmul-impl' of https://github.com/helmholtz-ana…
Mystic-Slice Oct 21, 2023
994d0b1
matmul regardless of A's split
Mystic-Slice Oct 23, 2023
e53df48
fix pre-commit
Mystic-Slice Oct 23, 2023
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Mystic-Slice committed Jul 31, 2023
commit f0d50e31e4b6cd9be0459e3ffd56dc55e947e79e
4 changes: 2 additions & 2 deletions setup.py
Original file line number Diff line number Diff line change
@@ -33,8 +33,8 @@
],
install_requires=[
"mpi4py>=3.0.0",
"numpy>=1.13.0",
"torch>=1.7.0, <2.0.1",
"numpy>=1.20.0",
"torch>=1.8.0, <2.0.2",
"scipy>=0.14.0",
"pillow>=6.0.0",
"torchvision>=0.8.0",
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