The "Dim" prefix is a legacy left-over that no longer makes sense, since
we have a very strict "Dimension" vs. "Level" definition for sparse
tensor types and their storage.
These methods are needed for use with `Diagnostic::operator<<` etc.
The definitions follow the pattern of `Diagnostic::str` by simply wrapping the underlying `print(raw_ostream)` method. Although there is some overhead for constructing the `std::string`, this seems like the overall most-efficient option: since this overhead only occurs on the error path (under the current intended usage). An alternative approach would be to have one method construct a `Twine` directly, and then have the print method pass the twine to the stream; however, that would mean introducing the overhead of twine construction on the common/happy path of simply printing things out.
Reviewed By: aartbik
Differential Revision: https://reviews.llvm.org/D157643
These new methods help clean up some code for doing LvlExpr-analysis during DimExpr-inference.
Reviewed By: aartbik
Differential Revision: https://reviews.llvm.org/D157647
Renames the old `DimLvlExpr::getContext` to `tryGetContext` to make it clear that the result could be a nullptr. Also adds new delegation methods `DimSpec::tryGetContext` and `LvlSpec::getContext`.
Reviewed By: aartbik
Differential Revision: https://reviews.llvm.org/D157163
This commit makes `DimLvlMap::print` consistent with `DimLvlMapParser` with respect to both the forward-decls per se, as well as the all-or-none constraint on LvlVar-bindings in LvlSpecs.
Reviewed By: aartbik
Differential Revision: https://reviews.llvm.org/D156768
We are in the progress of migrating to a much improved surface syntax for the Sparse Tensor Encoding Attribute (STEA).
You can see a preview of this in the StableHLO RFC at
https://github.com/openxla/stablehlo/blob/main/rfcs/20230210-sparsity.md
//**This design is courtesy Wren Romano.**//
This initial revision
(1) Introduces the first version of a new parser written by Wren Romano
(2) Introduces a simple "migration plan" using NEW_SYNTAX on the STEA, which will allow us to test the new parser with new examples, as well as migrate existing examples over without the need to rewrite them all
This first "drop" merely provides the entry points to parse the new syntax. The parser is still under active development. For example, we need to address the "lookahead" issue when parsing the lvl spec (viz. do we see l0 = d0 or a direct d0). Another larger task is to actually implement "affine" parsing (since the MLIR affine parser is not accessible in other parts of the tree).
EXAMPLE:
Currently, CSR looks like
#CSR = #sparse_tensor.encoding<{
lvlTypes = ["dense","compressed"],
dimToLvl = affine_map<(i,j) -> (i,j)>
}>
but you can "force" the new parser with
#CSR = #sparse_tensor.encoding<{
NEW_SYNTAX =
(d0, d1) -> (l0 = d0 : dense, l1 = d1 : compressed)
}>
Reviewed By: Peiming
Differential Revision: https://reviews.llvm.org/D153997
