Files
clang-p2996/mlir/lib/Dialect/SparseTensor/IR/Detail/DimLvlMap.cpp
Aart Bik 1944c4f76b [mlir][sparse] rename DimLevelType to LevelType (#73561)
The "Dim" prefix is a legacy left-over that no longer makes sense, since
we have a very strict "Dimension" vs. "Level" definition for sparse
tensor types and their storage.
2023-11-27 14:27:52 -08:00

145 lines
5.1 KiB
C++

//===- DimLvlMap.cpp ------------------------------------------------------===//
//
// 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 "DimLvlMap.h"
using namespace mlir;
using namespace mlir::sparse_tensor;
using namespace mlir::sparse_tensor::ir_detail;
//===----------------------------------------------------------------------===//
// `DimLvlExpr` implementation.
//===----------------------------------------------------------------------===//
SymVar DimLvlExpr::castSymVar() const {
return SymVar(llvm::cast<AffineSymbolExpr>(expr));
}
std::optional<SymVar> DimLvlExpr::dyn_castSymVar() const {
if (const auto s = dyn_cast_or_null<AffineSymbolExpr>(expr))
return SymVar(s);
return std::nullopt;
}
Var DimLvlExpr::castDimLvlVar() const {
return Var(getAllowedVarKind(), llvm::cast<AffineDimExpr>(expr));
}
std::optional<Var> DimLvlExpr::dyn_castDimLvlVar() const {
if (const auto x = dyn_cast_or_null<AffineDimExpr>(expr))
return Var(getAllowedVarKind(), x);
return std::nullopt;
}
std::tuple<DimLvlExpr, AffineExprKind, DimLvlExpr>
DimLvlExpr::unpackBinop() const {
const auto ak = getAffineKind();
const auto binop = llvm::dyn_cast<AffineBinaryOpExpr>(expr);
const DimLvlExpr lhs(kind, binop ? binop.getLHS() : nullptr);
const DimLvlExpr rhs(kind, binop ? binop.getRHS() : nullptr);
return {lhs, ak, rhs};
}
//===----------------------------------------------------------------------===//
// `DimSpec` implementation.
//===----------------------------------------------------------------------===//
DimSpec::DimSpec(DimVar var, DimExpr expr, SparseTensorDimSliceAttr slice)
: var(var), expr(expr), slice(slice) {}
bool DimSpec::isValid(Ranks const &ranks) const {
// Nothing in `slice` needs additional validation.
// We explicitly consider null-expr to be vacuously valid.
return ranks.isValid(var) && (!expr || ranks.isValid(expr));
}
//===----------------------------------------------------------------------===//
// `LvlSpec` implementation.
//===----------------------------------------------------------------------===//
LvlSpec::LvlSpec(LvlVar var, LvlExpr expr, LevelType type)
: var(var), expr(expr), type(type) {
assert(expr);
assert(isValidLT(type) && !isUndefLT(type));
}
bool LvlSpec::isValid(Ranks const &ranks) const {
// Nothing in `type` needs additional validation.
return ranks.isValid(var) && ranks.isValid(expr);
}
//===----------------------------------------------------------------------===//
// `DimLvlMap` implementation.
//===----------------------------------------------------------------------===//
DimLvlMap::DimLvlMap(unsigned symRank, ArrayRef<DimSpec> dimSpecs,
ArrayRef<LvlSpec> lvlSpecs)
: symRank(symRank), dimSpecs(dimSpecs), lvlSpecs(lvlSpecs),
mustPrintLvlVars(false) {
// First, check integrity of the variable-binding structure.
// NOTE: This establishes the invariant that calls to `VarSet::add`
// below cannot cause OOB errors.
assert(isWF());
VarSet usedVars(getRanks());
for (const auto &dimSpec : dimSpecs)
if (!dimSpec.canElideExpr())
usedVars.add(dimSpec.getExpr());
for (auto &lvlSpec : this->lvlSpecs) {
// Is this LvlVar used in any overt expression?
const bool isUsed = usedVars.contains(lvlSpec.getBoundVar());
// This LvlVar can be elided iff it isn't overtly used.
lvlSpec.setElideVar(!isUsed);
// If any LvlVar cannot be elided, then must forward-declare all LvlVars.
mustPrintLvlVars = mustPrintLvlVars || isUsed;
}
}
bool DimLvlMap::isWF() const {
const auto ranks = getRanks();
unsigned dimNum = 0;
for (const auto &dimSpec : dimSpecs)
if (dimSpec.getBoundVar().getNum() != dimNum++ || !dimSpec.isValid(ranks))
return false;
assert(dimNum == ranks.getDimRank());
unsigned lvlNum = 0;
for (const auto &lvlSpec : lvlSpecs)
if (lvlSpec.getBoundVar().getNum() != lvlNum++ || !lvlSpec.isValid(ranks))
return false;
assert(lvlNum == ranks.getLvlRank());
return true;
}
AffineMap DimLvlMap::getDimToLvlMap(MLIRContext *context) const {
SmallVector<AffineExpr> lvlAffines;
lvlAffines.reserve(getLvlRank());
for (const auto &lvlSpec : lvlSpecs)
lvlAffines.push_back(lvlSpec.getExpr().getAffineExpr());
auto map = AffineMap::get(getDimRank(), getSymRank(), lvlAffines, context);
return map;
}
AffineMap DimLvlMap::getLvlToDimMap(MLIRContext *context) const {
SmallVector<AffineExpr> dimAffines;
dimAffines.reserve(getDimRank());
for (const auto &dimSpec : dimSpecs) {
auto expr = dimSpec.getExpr().getAffineExpr();
if (expr) {
dimAffines.push_back(expr);
}
}
auto map = AffineMap::get(getLvlRank(), getSymRank(), dimAffines, context);
// If no lvlToDim map was passed in, returns a null AffineMap and infers it
// in SparseTensorEncodingAttr::parse.
if (dimAffines.empty())
return AffineMap();
return map;
}
//===----------------------------------------------------------------------===//