16 Commits

Author SHA1 Message Date
Matthias Springer
0a8e3dd432
[mlir][Interfaces] DestinationStyleOpInterface: Rename hasTensor/BufferSemantics (#77574)
Rename interface functions as follows:
* `hasTensorSemantics` -> `hasPureTensorSemantics`
* `hasBufferSemantics` -> `hasPureBufferSemantics`

These two functions return "true" if the op has tensor/buffer operands
but not buffer/tensor operands.

Also drop the "ranked" part from the interface, i.e., do not distinguish
between ranked/unranked types.

The new function names describe the functions more accurately. They also
align their semantics with the notion of "tensor semantics" with the
bufferization framework. (An op is supposed to be bufferized if it has
tensor operands, and we don't care if it also has memref operands.)

This change is in preparation of #75273, which adds
`BufferizableOpInterface::hasTensorSemantics`. By renaming the functions
in the `DestinationStyleOpInterface`, we can avoid name clashes between
the two interfaces.
2024-01-12 10:02:54 +01:00
long.chen
1609f1c2a5
[mlir][affine][nfc] cleanup deprecated T.cast style functions (#71269)
detail see the docment: https://mlir.llvm.org/deprecation/

Not all changes are made manually, most of them are made through a clang
tool I wrote https://github.com/lipracer/cpp-refactor.
2023-11-14 13:01:19 +08:00
Matthias Springer
0b2197b0cf
[mlir][Interfaces] Clean up DestinationStyleOpInterface (#67015)
* "init" operands are specified with `MutableOperandRange` (which gives
access to the underlying `OpOperand *`). No more magic numbers.
* Remove most interface methods and make them helper functions. Only
`getInitsMutable` should be implemented.
* Provide separate helper functions for accessing mutable/immutable
operands (`OpOperand`/`Value`, in line with #66515): `getInitsMutable`
and `getInits` (same naming convention as auto-generated op accessors).
`getInputOperands` was not renamed because this function cannot return a
`MutableOperandRange` (because the operands are not necessarily
consecutive). `OpOperandVector` is no longer needed.
* The new `getDpsInits`/`getDpsInitsMutable` is more efficient than the
old `getDpsInitOperands` because no `SmallVector` is created. The new
functions return a range of operands.
* Fix a bug in `getDpsInputOperands`: out-of-bounds operands were
potentially returned.
2023-09-21 18:04:08 +02:00
Matthias Springer
4c48f016ef [mlir][Affine][NFC] Wrap dialect in "affine" namespace
This cleanup aligns the affine dialect with all the other dialects.

Differential Revision: https://reviews.llvm.org/D148687
2023-04-20 11:19:21 +09:00
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
Alexander Belyaev
b4db15a949 [mlir] Rename getInputs->getDpsInputs and getOutputs->getDpsInits in DPS interface.
https://discourse.llvm.org/t/rfc-interface-for-destination-style-ops/64056

Differential Revision: https://reviews.llvm.org/D136943
2022-10-28 15:41:12 +02:00
Alexander Belyaev
a7cccb9cbb [mlir] Simplify DestinationStyleOpInterface.
Differential Revision: https://reviews.llvm.org/D135348
2022-10-17 12:43:41 +02:00
Oleg Shyshkov
1227b8ab54 [mlir] Rename getTied* methods to getMatching* in LinalgInterface.
Summary:
As mentioned in the comment to https://reviews.llvm.org/D134444, the term `tied`
is a misnomer in this context and `matching` sounds much better.

Differential Revision: https://reviews.llvm.org/D134534
2022-09-30 10:05:45 +00:00
Jakub Kuderski
abc362a107 [mlir][arith] Change dialect name from Arithmetic to Arith
Suggested by @lattner in https://discourse.llvm.org/t/rfc-define-precise-arith-semantics/65507/22.

Tested with:
`ninja check-mlir check-mlir-integration check-mlir-mlir-spirv-cpu-runner check-mlir-mlir-vulkan-runner check-mlir-examples`

and `bazel build --config=generic_clang @llvm-project//mlir:all`.

Reviewed By: lattner, Mogball, rriddle, jpienaar, mehdi_amini

Differential Revision: https://reviews.llvm.org/D134762
2022-09-29 11:23:28 -04:00
Michele Scuttari
67d0d7ac0a
[MLIR] Update pass declarations to new autogenerated files
The patch introduces the required changes to update the pass declarations and definitions to use the new autogenerated files and allow dropping the old infrastructure.

Reviewed By: mehdi_amini, rriddle

Differential Review: https://reviews.llvm.org/D132838
2022-08-31 12:28:45 +02:00
Michele Scuttari
039b969b32
Revert "[MLIR] Update pass declarations to new autogenerated files"
This reverts commit 2be8af8f0e0780901213b6fd3013a5268ddc3359.
2022-08-30 22:21:55 +02:00
Michele Scuttari
2be8af8f0e
[MLIR] Update pass declarations to new autogenerated files
The patch introduces the required changes to update the pass declarations and definitions to use the new autogenerated files and allow dropping the old infrastructure.

Reviewed By: mehdi_amini, rriddle

Differential Review: https://reviews.llvm.org/D132838
2022-08-30 21:56:31 +02:00
Alex Zinenko
e99fae8997 [mlir] more aggressive folding in tiling/fusion transformations
Combine the recently added utilities for folded-by-construction affine
operations with the attribute-based Range to enable more folding. This
decreases the amount of emitted code but has little effect on test
precisely because the tests are not checking for the spurious constants.
The difference in the shape of affine maps comes from the internals of
affine folding.

Depends on D129633

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D130167
2022-07-27 08:52:18 +00:00
Jacques Pienaar
04235d07ad [mlir] Update flipped accessors (NFC)
Follow up with memref flipped and flipping any intermediate changes
made.
2022-06-28 13:11:26 -07:00
Okwan Kwon
ee285faed2 [mlir] Do not bubble up extract slice when it is rank-reducing.
The bubble up logic was written by assuming the slice operation is
always a normal slice that outputs a tensor with the same rank.

Differential Revision: https://reviews.llvm.org/D124283
2022-04-22 12:21:47 -07:00
Okwan Kwon
65bdeddb1e [mlir] Bubble up tensor.extract_slice above linalg operation
Bubble up extract_slice above Linalg operation.

A sequence of operations

    %0 = linalg.<op> ... arg0, arg1, ...
    %1 = tensor.extract_slice %0 ...

can be replaced with

    %0 = tensor.extract_slice %arg0
    %1 = tensor.extract_slice %arg1
    %2 = linalg.<op> ... %0, %1, ...

This results in the reduce computation of the linalg operation.

The implementation uses the tiling utility functions. One difference
from the tiling process is that we don't need to insert the checking
code for the out-of-bound accesses. The use of the slice itself
represents that the code writer is sure about the boundary condition.
To avoid adding the boundary condtion check code, `omitPartialTileCheck`
is introduced for the tiling utility functions.

Differential Revision: https://reviews.llvm.org/D122437
2022-03-31 16:48:38 +00:00