This patch re-commit D137468 and D137463, which were reverted by mistakes.
Reviewed By: aartbik
Differential Revision: https://reviews.llvm.org/D137579
This reverts commit 70508b614e6478ba2c3fc79e935e2c68e2d79b71.
This change depends on a reverted change that broke the windows mlir buildbot; reverting to bring remaining mlir bots to green
This differential comprises three related changes: (1) it gives SparseTensorCOO standard C++-style iterators; (2) it removes the old iterator stuff from SparseTensorCOO; and (3) it introduces SparseTensorIterator which behaves like the old SparseTensorCOO iterator stuff used to.
The SparseTensorIterator class is needed because the MLIR codegen cannot easily use the C++-style iterators (hence why SparseTensorCOO had the old iterator stuff). Distinguishing SparseTensorIterator from SparseTensorCOO also helps improve API hygiene since these two classes are used for distinct purposes. And having SparseTensorIterator as its own class enables changing the underlying implementation in the future, without needing to worry about updating all the codegen tests etc.
Reviewed By: aartbik
Differential Revision: https://reviews.llvm.org/D135485
TranslateIndicesArray take an array of SSA value and convert them into another array of SSA values based on reassociation. Which makes it easier to be reused by `foreach` operator (as the indices array are given as an array of SSA values).
Reviewed By: aartbik, bixia
Differential Revision: https://reviews.llvm.org/D134918
A previous revision implemented expand/collapse reshaping between
dense and sparse tensors for sparse2dense and dense2sparse since those
could use the "cheap" view reshape on the already materialized
dense tensor (at either the input or output side), and do some
reshuffling from or to sparse. The dense2dense case, as always,
is handled with a "cheap" view change.
This revision implements the sparse2sparse cases. Lacking any "view"
support on sparse tensors this operation necessarily has to perform
data reshuffling on both ends.
Tracker for improving this:
https://github.com/llvm/llvm-project/issues/56477
Reviewed By: bixia
Differential Revision: https://reviews.llvm.org/D129416
This revision makes sure we accept sparse tensors as arguments
of the expand/collapse reshaping operations in the tensor dialect.
Note that the actual lowering to runnable IR is still TBD.
Reviewed By: springerm
Differential Revision: https://reviews.llvm.org/D128311
