bolt/deps/llvm-18.1.8/mlir/lib/Dialect/Affine/IR/ValueBoundsOpInterfaceImpl.cpp
2025-02-14 19:21:04 +01:00

128 lines
5.5 KiB
C++

//===- ValueBoundsOpInterfaceImpl.cpp - Impl. of ValueBoundsOpInterface ---===//
//
// 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/ValueBoundsOpInterfaceImpl.h"
#include "mlir/Dialect/Affine/IR/AffineOps.h"
#include "mlir/Interfaces/ValueBoundsOpInterface.h"
using namespace mlir;
using namespace mlir::affine;
namespace mlir {
namespace {
struct AffineApplyOpInterface
: public ValueBoundsOpInterface::ExternalModel<AffineApplyOpInterface,
AffineApplyOp> {
void populateBoundsForIndexValue(Operation *op, Value value,
ValueBoundsConstraintSet &cstr) const {
auto applyOp = cast<AffineApplyOp>(op);
assert(value == applyOp.getResult() && "invalid value");
assert(applyOp.getAffineMap().getNumResults() == 1 &&
"expected single result");
// Fully compose this affine.apply with other ops because the folding logic
// can see opportunities for simplifying the affine map that
// `FlatLinearConstraints` can currently not see.
AffineMap map = applyOp.getAffineMap();
SmallVector<Value> operands = llvm::to_vector(applyOp.getOperands());
fullyComposeAffineMapAndOperands(&map, &operands);
// Align affine map result with dims/symbols in the constraint set.
AffineExpr expr = map.getResult(0);
SmallVector<AffineExpr> dimReplacements, symReplacements;
for (int64_t i = 0, e = map.getNumDims(); i < e; ++i)
dimReplacements.push_back(cstr.getExpr(operands[i]));
for (int64_t i = map.getNumDims(),
e = map.getNumDims() + map.getNumSymbols();
i < e; ++i)
symReplacements.push_back(cstr.getExpr(operands[i]));
AffineExpr bound =
expr.replaceDimsAndSymbols(dimReplacements, symReplacements);
cstr.bound(value) == bound;
}
};
struct AffineMinOpInterface
: public ValueBoundsOpInterface::ExternalModel<AffineMinOpInterface,
AffineMinOp> {
void populateBoundsForIndexValue(Operation *op, Value value,
ValueBoundsConstraintSet &cstr) const {
auto minOp = cast<AffineMinOp>(op);
assert(value == minOp.getResult() && "invalid value");
// Align affine map results with dims/symbols in the constraint set.
for (AffineExpr expr : minOp.getAffineMap().getResults()) {
SmallVector<AffineExpr> dimReplacements = llvm::to_vector(llvm::map_range(
minOp.getDimOperands(), [&](Value v) { return cstr.getExpr(v); }));
SmallVector<AffineExpr> symReplacements = llvm::to_vector(llvm::map_range(
minOp.getSymbolOperands(), [&](Value v) { return cstr.getExpr(v); }));
AffineExpr bound =
expr.replaceDimsAndSymbols(dimReplacements, symReplacements);
cstr.bound(value) <= bound;
}
};
};
struct AffineMaxOpInterface
: public ValueBoundsOpInterface::ExternalModel<AffineMaxOpInterface,
AffineMaxOp> {
void populateBoundsForIndexValue(Operation *op, Value value,
ValueBoundsConstraintSet &cstr) const {
auto maxOp = cast<AffineMaxOp>(op);
assert(value == maxOp.getResult() && "invalid value");
// Align affine map results with dims/symbols in the constraint set.
for (AffineExpr expr : maxOp.getAffineMap().getResults()) {
SmallVector<AffineExpr> dimReplacements = llvm::to_vector(llvm::map_range(
maxOp.getDimOperands(), [&](Value v) { return cstr.getExpr(v); }));
SmallVector<AffineExpr> symReplacements = llvm::to_vector(llvm::map_range(
maxOp.getSymbolOperands(), [&](Value v) { return cstr.getExpr(v); }));
AffineExpr bound =
expr.replaceDimsAndSymbols(dimReplacements, symReplacements);
cstr.bound(value) >= bound;
}
};
};
} // namespace
} // namespace mlir
void mlir::affine::registerValueBoundsOpInterfaceExternalModels(
DialectRegistry &registry) {
registry.addExtension(+[](MLIRContext *ctx, AffineDialect *dialect) {
AffineApplyOp::attachInterface<AffineApplyOpInterface>(*ctx);
AffineMaxOp::attachInterface<AffineMaxOpInterface>(*ctx);
AffineMinOp::attachInterface<AffineMinOpInterface>(*ctx);
});
}
FailureOr<int64_t>
mlir::affine::fullyComposeAndComputeConstantDelta(Value value1, Value value2) {
assert(value1.getType().isIndex() && "expected index type");
assert(value2.getType().isIndex() && "expected index type");
// Subtract the two values/dimensions from each other. If the result is 0,
// both are equal.
Builder b(value1.getContext());
AffineMap map = AffineMap::get(/*dimCount=*/2, /*symbolCount=*/0,
b.getAffineDimExpr(0) - b.getAffineDimExpr(1));
// Fully compose the affine map with other ops because the folding logic
// can see opportunities for simplifying the affine map that
// `FlatLinearConstraints` can currently not see.
SmallVector<Value> mapOperands;
mapOperands.push_back(value1);
mapOperands.push_back(value2);
affine::fullyComposeAffineMapAndOperands(&map, &mapOperands);
ValueDimList valueDims;
for (Value v : mapOperands)
valueDims.push_back({v, std::nullopt});
return ValueBoundsConstraintSet::computeConstantBound(
presburger::BoundType::EQ, map, valueDims);
}