Exposing the C versions of the methods of the sparse runtime support lib
through header files will enable using the same methods in an MLIR program
as well as a C++ program, which will simplify future benchmarking comparisons
(e.g. comparing MLIR generated code with eigen for Matrix Market sparse matrices).
Reviewed By: penpornk
Differential Revision: https://reviews.llvm.org/D91316
Rationale:
More consistent with the other names. Also forward looking to reading
in other kinds of matrices. Also fixes lint issue on hard-coded %llu.
Reviewed By: penpornk
Differential Revision: https://reviews.llvm.org/D89005
Setting up input data for benchmarks and integration tests can be tedious in
pure MLIR. With more sparse tensor work planned, this convenience library
simplifies reading sparse matrices in the popular Matrix Market Exchange
Format (see https://math.nist.gov/MatrixMarket). Note that this library
is *not* part of core MLIR. It is merely intended as a convenience library
for benchmarking and integration testing.
Reviewed By: penpornk
Differential Revision: https://reviews.llvm.org/D88856
