Files
clang-p2996/mlir/lib/Dialect/Linalg/Transforms/Split.cpp
Tres Popp 68f58812e3 [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.

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 patch updates all remaining uses of the deprecated functionality in
mlir/. This was done with clang-tidy as described below and further
modifications to GPUBase.td and OpenMPOpsInterfaces.td.

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:
   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.

```
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
```

Differential Revision: https://reviews.llvm.org/D151542
2023-05-26 10:29:55 +02:00

139 lines
6.1 KiB
C++

//===- Split.cpp - Structured op splitting --------------------------------===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
#include "mlir/Dialect/Affine/IR/AffineOps.h"
#include "mlir/Dialect/Linalg/Transforms/Transforms.h"
#include "mlir/Dialect/Utils/StaticValueUtils.h"
#include "mlir/IR/AffineExpr.h"
#include "mlir/IR/Attributes.h"
#include "mlir/IR/BuiltinAttributes.h"
#include "mlir/IR/OpDefinition.h"
#include "mlir/Interfaces/TilingInterface.h"
#include "llvm/ADT/STLExtras.h"
#include "llvm/ADT/SmallVector.h"
using namespace mlir;
using namespace mlir::linalg;
/// Creates a part of the given `op` split along the iteration space `dimension`
/// with the given `size` and an optional `offset` (default 0). Makes slices
/// of operands, using the input operands of the original op and the output
/// operands provided as `resultOperands`. Expects `offsets` and `sizes` to
/// define the shape of the iteration space of the original op. Returns the
/// split-out op as well as the output operand values updated with the partial
/// results produced by this op through `results`.
static TilingInterface
createSplitPart(RewriterBase &b, Location loc, TilingInterface op,
ArrayRef<OpFoldResult> offsets, ArrayRef<OpFoldResult> sizes,
ValueRange resultOperands, unsigned dimension,
OpFoldResult size, OpFoldResult offset,
SmallVectorImpl<Value> &results) {
// Iteration space of the current part.
SmallVector<OpFoldResult> sizesCopy = llvm::to_vector(sizes);
SmallVector<OpFoldResult> offsetsCopy = llvm::to_vector(offsets);
sizesCopy[dimension] = size;
offsetsCopy[dimension] = offset;
// Create the part as it it were a single tile.
FailureOr<TilingResult> tilingResult =
op.getTiledImplementation(b, offsetsCopy, sizesCopy);
// Insert the results back and populate the `results` list.
for (auto [index, result] : llvm::enumerate(tilingResult->tiledValues)) {
SmallVector<OpFoldResult> resultOffsets, resultSizes;
if (failed(op.getResultTilePosition(b, index, offsetsCopy, sizesCopy,
resultOffsets, resultSizes)))
return nullptr;
SmallVector<OpFoldResult> resultStrides(resultOffsets.size(),
b.getIndexAttr(1));
Value inserted = b.create<tensor::InsertSliceOp>(
loc, result, resultOperands[index], resultOffsets, resultSizes,
resultStrides);
results.push_back(inserted);
}
// TODO: this part can be generalized maybe to not expect a single op.
assert(tilingResult->tiledOps.size() == 1 &&
"expected split part to return a single tiled operation");
return cast<TilingInterface>(tilingResult->tiledOps[0]);
}
std::pair<TilingInterface, TilingInterface>
linalg::splitOp(RewriterBase &rewriter, TilingInterface op, unsigned dimension,
OpFoldResult splitPoint) {
// Compute the iteration space.
SmallVector<Range> iterationSpace = op.getIterationDomain(rewriter);
// Bail out on dimension overflow.
if (dimension >= iterationSpace.size())
return std::make_pair(op, TilingInterface());
SmallVector<OpFoldResult> offsets = llvm::to_vector(llvm::map_range(
iterationSpace, [](const Range &range) { return range.offset; }));
SmallVector<OpFoldResult> sizes = llvm::to_vector(llvm::map_range(
iterationSpace, [](const Range &range) { return range.size; }));
// Adjust the split point so that it doesn't overflow the size.
AffineExpr d0, d1, d2;
bindDims(rewriter.getContext(), d0, d1, d2);
OpFoldResult minSplitPoint = affine::makeComposedFoldedAffineMin(
rewriter, op.getLoc(),
AffineMap::inferFromExprList(ArrayRef<AffineExpr>{d0, d1 + d2}).front(),
{splitPoint, offsets[dimension], sizes[dimension]});
// Compute the size of the second part. Return early if the second part would
// have an empty iteration space.
OpFoldResult remainingSize = affine::makeComposedFoldedAffineApply(
rewriter, op.getLoc(), d0 + d1 - d2,
{iterationSpace[dimension].offset, iterationSpace[dimension].size,
minSplitPoint});
if (auto attr = llvm::dyn_cast_if_present<Attribute>(remainingSize)) {
if (cast<IntegerAttr>(attr).getValue().isZero())
return {op, TilingInterface()};
}
// Compute destination tensors.
SmallVector<Value> destinationTensors;
LogicalResult destStatus = tensor::getOrCreateDestinations(
rewriter, op.getLoc(), op, destinationTensors);
(void)destStatus;
assert(succeeded(destStatus) && "failed to get destination tensors");
// Create the first part.
SmallVector<Value> firstResults;
TilingInterface firstPart = createSplitPart(
rewriter, op.getLoc(), op, offsets, sizes, destinationTensors, dimension,
minSplitPoint, iterationSpace[dimension].offset, firstResults);
// Need to pretend that the original op now takes as operands firstResults,
// otherwise tiling interface implementation will take the wrong value to
// produce data tiles.
rewriter.updateRootInPlace(op, [&]() {
unsigned numTotalOperands = op->getNumOperands();
unsigned numOutputOperands = firstResults.size();
op->setOperands(numTotalOperands - numOutputOperands, numOutputOperands,
firstResults);
});
// Create the second part.
OpFoldResult totalOffset = affine::makeComposedFoldedAffineApply(
rewriter, op.getLoc(), d0 + d1, {offsets[dimension], minSplitPoint});
SmallVector<Value> secondResults;
TilingInterface secondPart =
createSplitPart(rewriter, op.getLoc(), op, offsets, sizes, firstResults,
dimension, remainingSize, totalOffset, secondResults);
// Propagate any errors in part creation.
if (!firstPart || !secondPart)
return {TilingInterface(), TilingInterface()};
// Replace the original op with the results of the two newly created ops.
rewriter.replaceOp(op, secondResults);
return {firstPart, secondPart};
}