bren...@u.northwestern.edu writes: > I'm trying to run the cg example posted at > https://andreask.cs.illinois.edu/PyCuda/Examples/SparseSolve > > where I have copied the file into one called: py_cuda_cg_test.py > > I'm testing using a 5 by 5 sparse symmetric .mm file I found here > https://people.sc.fsu.edu/~jburkardt/data/mm/m_05_05_crs.mm > > though after some messing around I don't think that the file matters much > > when I run the command > $ python py_cuda_cg_test.py m_05_05_crs.mm --is-symmetric > > I get the error: > > Traceback (most recent call last): > File "py_cuda_cg_test.py", line 88, in <module> > main_cg() > File "py_cuda_cg_test.py", line 35, in main_cg > spmv = PacketedSpMV(csr_mat, options.is_symmetric, csr_mat.dtype) > File > "/home/bs162/.local/lib/python2.7/site-packages/pycuda/sparse/packeted.py", > line 185, in __init__ > local_row_costs) > File "pycuda/sparse/pkt_build_cython.pyx", line 22, in > pycuda.sparse.pkt_build_cython.build_pkt_data_structure > (/home/bs162/.pyxbld/temp.linux-x86_64-2.7/pyrex/pycuda/sparse/pkt_build_cython.c:1219) > TypeError: 'numpy.float64' object cannot be interpreted as an index > > which seems to indicate that the index information is somehow being cast from > an int to a float during the call to packeted.py > > I get this error with both python 2.7 and 3.6 and I am using numpy 1.13.3. > Any help would be greatly appreciated!
While I'd be happy to merge patches, I do not currently have time to support the (undocumented/experimental) sparse matrix/linear solver functionality in PyCUDA. Sorry, Andreas
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