Releases: flatironinstitute/sparse_dot
Releases · flatironinstitute/sparse_dot
v0.9.10
23 Oct 14:47
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Version 0.9.10
Scipy sparse classes will copy a noncontiguous numpy array into a contiguous array for multiplication if cast=True
v0.9.9
13 May 16:00
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Version 0.9.9
Fix #34 : Empty vector/matrix multiplication returns correct shape for result
v0.9.8
15 Mar 15:01
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Version 0.9.8
Fix #31 : Remove ndim check from sparse vector ctypes wrapper to accommodate np.matrix arrays that can't be flattened
v0.9.7
07 Nov 18:52
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Version 0.9.7
Fix #28 : incorrect output when out is provided but the matrix multiplication is trivially all zeros
Added scipy sparse classes where MKL is used for matrix multiplication
v0.9.6
18 Oct 16:56
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Version 0.9.6
Add wrapper for MKL iterative CG and FGMRES solvers in sparse_dot.solvers
v0.9.5
03 Oct 21:56
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Version 0.9.5
Add wrapper for MKL pardiso solver in sparse_dot.solvers
v0.9.4
02 Jul 14:34
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Version 0.9.4
Replace deprecated scipy spmatrix.A calls with spmatrix.todense()
v0.9.3
03 May 17:28
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Version 0.9.3
Directly expose service functions mkl_get_max_threads, mkl_set_num_threads, mkl_set_num_threads_local, mkl_get_version, and mkl_get_version_string.
v0.9.2
28 Apr 15:41
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Version 0.9.2
Explicit check for interface env MKL_INTERFACE_LAYER and interface selection in python.
Will raise a RuntimeWarning if ILP64 is requested but the 64-bit interface layer is unavailable.
Note that the MKL_INTERFACE_LAYER env must be set before this package is imported.
v0.9.1
28 Feb 20:29
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Version 0.9.1
Support for out parameter with sparse-sparse multiplication when dense=True