This extension to the sparse tensor type system in MLIR
opens up a whole new set of sparse storage schemes, such as
block sparse storage (e.g. BCSR) and ELL (aka jagged diagonals).
This revision merely introduces the type extension and
initial documentation. The actual interpretation of the type
(reading in tensors, lowering to code, etc.) will follow.
Reviewed By: Peiming
Differential Revision: https://reviews.llvm.org/D135206
We recently removed the singleton dimension level type (see the revision
https://reviews.llvm.org/D131002) since it was unimplemented but also
incomplete (properties were missing). This revision add singleton back as
extra dimension level type, together with properties ordered/not-ordered
and unique/not-unique. Even though still not lowered to actual code, this
provides a complete way of defining many more sparse storage schemes (in
the long run, we want to support even dimension level types and properties
using the additional extensions proposed in [Chou]).
Note that the current solution of using suffixes for the properties is not
ideal, but keeps the extension relatively simple with respect to parsing and
printing. Furthermore, it is rather consistent with the TACO implementation
which uses things like Compressed-Unique as well. Nevertheless, we probably
want to separate dimension level types from properties when we add more types
and properties.
Reviewed By: Peiming
Differential Revision: https://reviews.llvm.org/D132897
This change omits default values from the sparse tensor type,
saving considerable text real estate for the common cases.
Reviewed By: Peiming
Differential Revision: https://reviews.llvm.org/D132083
A very elaborate, but also very fun revision because all
puzzle pieces are finally "falling in place".
1. replaces lingalg annotations + flags with proper sparse tensor types
2. add rigorous verification on sparse tensor type and sparse primitives
3. removes glue and clutter on opaque pointers in favor of sparse tensor types
4. migrates all tests to use sparse tensor types
NOTE: next CL will remove *all* obsoleted sparse code in Linalg
Reviewed By: bixia
Differential Revision: https://reviews.llvm.org/D102095
(1) migrates the encoding from TensorDialect into the new SparseTensorDialect
(2) replaces dictionary-based storage and builders with struct-like data
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D101669