This change standardises the naming convention for the argument
representing the value to store in various vector operations.
Specifically, it ensures that all vector ops storing a value—whether
into memory, a tensor, or another vector — use `valueToStore` for the
corresponding argument name.
Updated operations:
* `vector.transfer_write`, `vector.insert`, `vector.scalable_insert`,
`vector.insert_strided_slice`.
For reference, here are operations that currently use `valueToStore`:
* `vector.store` `vector.scatter`, `vector.compressstore`,
`vector.maskedstore`.
This change is non-functional (NFC) and does not affect the
functionality of these operations.
Implements #131602
It looks like scalable `vector.insertslice/extractslice` ops made their way
through lowering patterns that generate `vector.shuffle` ops. I'm not
sure why this wasn't caught by the verifier, probably because the
shuffle op was folded into something else as part of the same rewrite
and the IR wasn't verified.
This PR fixes the issue by preventing scalable vector.insertslice/extractslice
ops to be lowered to vector shuffles. Instead, they are now lowered to a
sequence of insertslice/extractelement ops using an existing patter.
This is a reasonable canonicalization because `extract` is more
constrained than `extract_strided_slices`, so there is no loss of
semantics here, just lifting an op to a special-case higher/constrained
op. And the additional `shape_cast` is merely adding leading unit dims
to match the original result type.
Context: discussion on #111541. I wasn't sure how this would turn out,
but in the process of writing this PR, I discovered at least 2 bugs in
the pattern introduced in #111541, which shows the value of shared
canonicalization patterns which are exercised on a high number of
testcases.
---------
Signed-off-by: Benoit Jacob <jacob.benoit.1@gmail.com>
The MLIR classes Type/Attribute/Operation/Op/Value support
cast/dyn_cast/isa/dyn_cast_or_null functionality through llvm's doCast
functionality in addition to defining methods with the same name.
This change begins the migration of uses of the method to the
corresponding function call as has been decided as more consistent.
Note that there still exist classes that only define methods directly,
such as AffineExpr, and this does not include work currently to support
a functional cast/isa call.
Caveats include:
- This clang-tidy script probably has more problems.
- This only touches C++ code, so nothing that is being generated.
Context:
- https://mlir.llvm.org/deprecation/ at "Use the free function variants
for dyn_cast/cast/isa/…"
- Original discussion at https://discourse.llvm.org/t/preferred-casting-style-going-forward/68443
Implementation:
This first patch was created with the following steps. The intention is
to only do automated changes at first, so I waste less time if it's
reverted, and so the first mass change is more clear as an example to
other teams that will need to follow similar steps.
Steps are described per line, as comments are removed by git:
0. Retrieve the change from the following to build clang-tidy with an
additional check:
https://github.com/llvm/llvm-project/compare/main...tpopp:llvm-project:tidy-cast-check
1. Build clang-tidy
2. Run clang-tidy over your entire codebase while disabling all checks
and enabling the one relevant one. Run on all header files also.
3. Delete .inc files that were also modified, so the next build rebuilds
them to a pure state.
4. Some changes have been deleted for the following reasons:
- Some files had a variable also named cast
- Some files had not included a header file that defines the cast
functions
- Some files are definitions of the classes that have the casting
methods, so the code still refers to the method instead of the
function without adding a prefix or removing the method declaration
at the same time.
```
ninja -C $BUILD_DIR clang-tidy
run-clang-tidy -clang-tidy-binary=$BUILD_DIR/bin/clang-tidy -checks='-*,misc-cast-functions'\
-header-filter=mlir/ mlir/* -fix
rm -rf $BUILD_DIR/tools/mlir/**/*.inc
git restore mlir/lib/IR mlir/lib/Dialect/DLTI/DLTI.cpp\
mlir/lib/Dialect/Complex/IR/ComplexDialect.cpp\
mlir/lib/**/IR/\
mlir/lib/Dialect/SparseTensor/Transforms/SparseVectorization.cpp\
mlir/lib/Dialect/Vector/Transforms/LowerVectorMultiReduction.cpp\
mlir/test/lib/Dialect/Test/TestTypes.cpp\
mlir/test/lib/Dialect/Transform/TestTransformDialectExtension.cpp\
mlir/test/lib/Dialect/Test/TestAttributes.cpp\
mlir/unittests/TableGen/EnumsGenTest.cpp\
mlir/test/python/lib/PythonTestCAPI.cpp\
mlir/include/mlir/IR/
```
Differential Revision: https://reviews.llvm.org/D150123
This is useful for breaking down extract_strided_slice and potentially
cancel with other extract / insert ops before or after.
Reviewed By: ThomasRaoux
Differential Revision: https://reviews.llvm.org/D137471
Right now `populateVectorInsertExtractStridedSliceTransforms` contains
two categories of patterns, one for decomposing high-D insert/extract
strided slices, the other for lowering them to shuffle ops.
They are at different levels---the former is in the middle, while
the latter is a step of final lowering. Split them to give users
more control of which pattern to pick.
This means break down the previous `VectorExtractStridedSliceOpRewritePattern`,
which is doing two things together.
Also renamed those patterns to be clearer.
Reviewed By: ThomasRaoux
Differential Revision: https://reviews.llvm.org/D123137
This has been on _Both for a couple of weeks. Flip usages in core with
intention to flip flag to _Prefixed in follow up. Needed to add a couple
of helper methods in AffineOps and Linalg to facilitate a pure flag flip
in follow up as some of these classes are used in templates and so
sensitive to Vector dialect changes.
Differential Revision: https://reviews.llvm.org/D122151
This is part of the larger effort to split the standard dialect. This will also allow for pruning some
additional dependencies on Standard (done in a followup).
Differential Revision: https://reviews.llvm.org/D118202
This reduces the dependencies of the MLIRVector target and makes the dialect consistent with other dialects.
Differential Revision: https://reviews.llvm.org/D118533
