12 Commits

Author SHA1 Message Date
Aviad Cohen
ccc02563f4
[mlir][linalg]: Fixed possible memory leak in cloneToCollapsedOp (#87595)
* Direct call to `clone` function leads to memory leak. Instead, we should use `RewriterBase` clone function instead.
2024-04-07 08:23:16 +03:00
bjacob
8a80e33150
Add isBatchVecmat utilities for linalg.batch_vecmat (#70284)
`linalg.batch_vecmat` was just added in
https://github.com/llvm/llvm-project/pull/70218, but I forgot then to
add the standard `isBatchVecmat` utilities
2023-10-26 07:47:00 -04:00
NatashaKnk
9f4950983e
[mlir] Add ContractionOpInterface utility functions for vector matrix multiplication (#68945) 2023-10-18 08:55:51 -07:00
Tres Popp
5550c82189 [mlir] Move casting calls from methods to function calls
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
2023-05-12 11:21:25 +02:00
Mahesh Ravishankar
d0e507f569 [mlir][Tensor] Fix build error due to missing <> in D146440.
Differential Revision: https://reviews.llvm.org/D146458
2023-03-20 21:21:50 +00:00
Mahesh Ravishankar
c21e88cc02 [mlir][Tensor] Avoid dropping attributes for tensor.pad operations during canonicalization.
Reviewed By: hanchung

Differential Revision: https://reviews.llvm.org/D146440
2023-03-20 21:03:46 +00:00
Jeff Niu
4d67b27817 [mlir] Add operations to BlockAndValueMapping and rename it to IRMapping
The patch adds operations to `BlockAndValueMapping` and renames it to `IRMapping`. When operations are cloned, old operations are mapped to the cloned operations. This allows mapping from an operation to a cloned operation. Example:

```
Operation *opWithRegion = ...
Operation *opInsideRegion = &opWithRegion->front().front();

IRMapping map
Operation *newOpWithRegion = opWithRegion->clone(map);
Operation *newOpInsideRegion = map.lookupOrNull(opInsideRegion);
```

Migration instructions:
All includes to `mlir/IR/BlockAndValueMapping.h` should be replaced with `mlir/IR/IRMapping.h`. All uses of `BlockAndValueMapping` need to be renamed to `IRMapping`.

Reviewed By: rriddle, mehdi_amini

Differential Revision: https://reviews.llvm.org/D139665
2023-01-12 13:16:05 -08:00
Alexander Belyaev
f286af29d8 [mlir] Remove clone methods from DPS interface.
Differential Revision: https://reviews.llvm.org/D138586
2022-11-23 19:25:26 +01:00
Oleg Shyshkov
4f1c124251 [mlir] Add IteratorType enum to StructuredOpsUtils.
Summary:
Use the new enum in TilingIterface and verify that `iterator_type` attribute in
LinalgOp interface is compatible with the enum values. Later IteratorType enum
will be used in LinalgInterface to replace the current `iterator_type` attribute
array of string.

Existing enums in Linalg are moved into a separate td file and tablegen build
target. This is necessary, have one I32EnumAttr in a shared space that generated
enum class definition and EnumAttrs is dialect-specific location. Otherwise
there might be a conflict that I32EnumAttr generates enum definitions in
multiple places.

Differential Revision: https://reviews.llvm.org/D134634
2022-09-26 11:09:46 +00:00
Geoffrey Martin-Noble
db011775e4 Reland "[MLIR] Make structured op tests permutation invariant"
Relands with fix swapping DEPENDS for LINK_LIBS.

This reverts commit cd8cc00b9e2b2b2b10270f7485eb47759bc54cc1.

Differential Revision: https://reviews.llvm.org/D97011
2021-02-18 18:09:49 -08:00
Mehdi Amini
cd8cc00b9e Revert "[MLIR] Make structured op tests permutation invariant"
This reverts commit b9ff67099ad6da931976e66f1510c5af2558a86e.
The build is broken with -DBUILD_SHARED_LIBS=ON
2021-02-19 00:16:45 +00:00
Geoffrey Martin-Noble
b9ff67099a [MLIR] Make structured op tests permutation invariant
Extracts the relevant dimensions from the map under test to build up the
maps to test against in a permutation-invariant way.

This also includes a fix to the indexing maps used by
isColumnMajorMatmul. The maps as currently written do not describe a
column-major matmul. The linalg named op column_major_matmul has the
correct maps (and notably fails the current test).

If `C = matmul(A, B)` we want an operation that given A in column major
format and B in column major format produces C in column major format.
Given that for a matrix, faux column major is just transpose.
`column_major_matmul(transpose(A), transpose(B)) = transpose(C)`. If
`A` is `NxK` and `B` is `KxM`, then `C` is `NxM`, so `transpose(A)` is
`KxN`, `transpose(B)` is `MxK` and `transpose(C)` is `MxN`, not `NxM`
as these maps currently have.

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D96984
2021-02-18 14:36:07 -08:00