Files
clang-p2996/mlir/lib/IR/AffineMap.cpp
Mehdi Amini 308571074c Mass update the MLIR license header to mention "Part of the LLVM project"
This is an artifact from merging MLIR into LLVM, the file headers are
now aligned with the rest of the project.
2020-01-26 03:58:30 +00:00

329 lines
12 KiB
C++

//===- AffineMap.cpp - MLIR Affine Map Classes ----------------------------===//
//
// 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/IR/AffineMap.h"
#include "AffineMapDetail.h"
#include "mlir/IR/AffineExpr.h"
#include "mlir/IR/Attributes.h"
#include "mlir/IR/StandardTypes.h"
#include "mlir/Support/Functional.h"
#include "mlir/Support/LogicalResult.h"
#include "mlir/Support/MathExtras.h"
#include "llvm/ADT/StringRef.h"
#include "llvm/Support/raw_ostream.h"
using namespace mlir;
namespace {
// AffineExprConstantFolder evaluates an affine expression using constant
// operands passed in 'operandConsts'. Returns an IntegerAttr attribute
// representing the constant value of the affine expression evaluated on
// constant 'operandConsts', or nullptr if it can't be folded.
class AffineExprConstantFolder {
public:
AffineExprConstantFolder(unsigned numDims, ArrayRef<Attribute> operandConsts)
: numDims(numDims), operandConsts(operandConsts) {}
/// Attempt to constant fold the specified affine expr, or return null on
/// failure.
IntegerAttr constantFold(AffineExpr expr) {
if (auto result = constantFoldImpl(expr))
return IntegerAttr::get(IndexType::get(expr.getContext()), *result);
return nullptr;
}
private:
Optional<int64_t> constantFoldImpl(AffineExpr expr) {
switch (expr.getKind()) {
case AffineExprKind::Add:
return constantFoldBinExpr(
expr, [](int64_t lhs, int64_t rhs) { return lhs + rhs; });
case AffineExprKind::Mul:
return constantFoldBinExpr(
expr, [](int64_t lhs, int64_t rhs) { return lhs * rhs; });
case AffineExprKind::Mod:
return constantFoldBinExpr(
expr, [](int64_t lhs, int64_t rhs) { return mod(lhs, rhs); });
case AffineExprKind::FloorDiv:
return constantFoldBinExpr(
expr, [](int64_t lhs, int64_t rhs) { return floorDiv(lhs, rhs); });
case AffineExprKind::CeilDiv:
return constantFoldBinExpr(
expr, [](int64_t lhs, int64_t rhs) { return ceilDiv(lhs, rhs); });
case AffineExprKind::Constant:
return expr.cast<AffineConstantExpr>().getValue();
case AffineExprKind::DimId:
if (auto attr = operandConsts[expr.cast<AffineDimExpr>().getPosition()]
.dyn_cast_or_null<IntegerAttr>())
return attr.getInt();
return llvm::None;
case AffineExprKind::SymbolId:
if (auto attr = operandConsts[numDims +
expr.cast<AffineSymbolExpr>().getPosition()]
.dyn_cast_or_null<IntegerAttr>())
return attr.getInt();
return llvm::None;
}
llvm_unreachable("Unknown AffineExpr");
}
// TODO: Change these to operate on APInts too.
Optional<int64_t> constantFoldBinExpr(AffineExpr expr,
int64_t (*op)(int64_t, int64_t)) {
auto binOpExpr = expr.cast<AffineBinaryOpExpr>();
if (auto lhs = constantFoldImpl(binOpExpr.getLHS()))
if (auto rhs = constantFoldImpl(binOpExpr.getRHS()))
return op(*lhs, *rhs);
return llvm::None;
}
// The number of dimension operands in AffineMap containing this expression.
unsigned numDims;
// The constant valued operands used to evaluate this AffineExpr.
ArrayRef<Attribute> operandConsts;
};
} // end anonymous namespace
/// Returns a single constant result affine map.
AffineMap AffineMap::getConstantMap(int64_t val, MLIRContext *context) {
return get(/*dimCount=*/0, /*symbolCount=*/0,
{getAffineConstantExpr(val, context)});
}
/// Returns an AffineMap representing a permutation.
AffineMap AffineMap::getPermutationMap(ArrayRef<unsigned> permutation,
MLIRContext *context) {
assert(!permutation.empty() &&
"Cannot create permutation map from empty permutation vector");
SmallVector<AffineExpr, 4> affExprs;
for (auto index : permutation)
affExprs.push_back(getAffineDimExpr(index, context));
auto m = std::max_element(permutation.begin(), permutation.end());
auto permutationMap = AffineMap::get(*m + 1, 0, affExprs);
assert(permutationMap.isPermutation() && "Invalid permutation vector");
return permutationMap;
}
AffineMap AffineMap::getMultiDimIdentityMap(unsigned numDims,
MLIRContext *context) {
SmallVector<AffineExpr, 4> dimExprs;
dimExprs.reserve(numDims);
for (unsigned i = 0; i < numDims; ++i)
dimExprs.push_back(mlir::getAffineDimExpr(i, context));
return get(/*dimCount=*/numDims, /*symbolCount=*/0, dimExprs);
}
MLIRContext *AffineMap::getContext() const { return map->context; }
bool AffineMap::isIdentity() const {
if (getNumDims() != getNumResults())
return false;
ArrayRef<AffineExpr> results = getResults();
for (unsigned i = 0, numDims = getNumDims(); i < numDims; ++i) {
auto expr = results[i].dyn_cast<AffineDimExpr>();
if (!expr || expr.getPosition() != i)
return false;
}
return true;
}
bool AffineMap::isEmpty() const {
return getNumDims() == 0 && getNumSymbols() == 0 && getNumResults() == 0;
}
bool AffineMap::isSingleConstant() const {
return getNumResults() == 1 && getResult(0).isa<AffineConstantExpr>();
}
int64_t AffineMap::getSingleConstantResult() const {
assert(isSingleConstant() && "map must have a single constant result");
return getResult(0).cast<AffineConstantExpr>().getValue();
}
unsigned AffineMap::getNumDims() const {
assert(map && "uninitialized map storage");
return map->numDims;
}
unsigned AffineMap::getNumSymbols() const {
assert(map && "uninitialized map storage");
return map->numSymbols;
}
unsigned AffineMap::getNumResults() const {
assert(map && "uninitialized map storage");
return map->results.size();
}
unsigned AffineMap::getNumInputs() const {
assert(map && "uninitialized map storage");
return map->numDims + map->numSymbols;
}
ArrayRef<AffineExpr> AffineMap::getResults() const {
assert(map && "uninitialized map storage");
return map->results;
}
AffineExpr AffineMap::getResult(unsigned idx) const {
assert(map && "uninitialized map storage");
return map->results[idx];
}
/// Folds the results of the application of an affine map on the provided
/// operands to a constant if possible. Returns false if the folding happens,
/// true otherwise.
LogicalResult
AffineMap::constantFold(ArrayRef<Attribute> operandConstants,
SmallVectorImpl<Attribute> &results) const {
assert(getNumInputs() == operandConstants.size());
// Fold each of the result expressions.
AffineExprConstantFolder exprFolder(getNumDims(), operandConstants);
// Constant fold each AffineExpr in AffineMap and add to 'results'.
for (auto expr : getResults()) {
auto folded = exprFolder.constantFold(expr);
// If we didn't fold to a constant, then folding fails.
if (!folded)
return failure();
results.push_back(folded);
}
assert(results.size() == getNumResults() &&
"constant folding produced the wrong number of results");
return success();
}
/// Walk all of the AffineExpr's in this mapping. Each node in an expression
/// tree is visited in postorder.
void AffineMap::walkExprs(std::function<void(AffineExpr)> callback) const {
for (auto expr : getResults())
expr.walk(callback);
}
/// This method substitutes any uses of dimensions and symbols (e.g.
/// dim#0 with dimReplacements[0]) in subexpressions and returns the modified
/// expression mapping. Because this can be used to eliminate dims and
/// symbols, the client needs to specify the number of dims and symbols in
/// the result. The returned map always has the same number of results.
AffineMap AffineMap::replaceDimsAndSymbols(ArrayRef<AffineExpr> dimReplacements,
ArrayRef<AffineExpr> symReplacements,
unsigned numResultDims,
unsigned numResultSyms) {
SmallVector<AffineExpr, 8> results;
results.reserve(getNumResults());
for (auto expr : getResults())
results.push_back(
expr.replaceDimsAndSymbols(dimReplacements, symReplacements));
return get(numResultDims, numResultSyms, results);
}
AffineMap AffineMap::compose(AffineMap map) {
assert(getNumDims() == map.getNumResults() && "Number of results mismatch");
// Prepare `map` by concatenating the symbols and rewriting its exprs.
unsigned numDims = map.getNumDims();
unsigned numSymbolsThisMap = getNumSymbols();
unsigned numSymbols = numSymbolsThisMap + map.getNumSymbols();
SmallVector<AffineExpr, 8> newDims(numDims);
for (unsigned idx = 0; idx < numDims; ++idx) {
newDims[idx] = getAffineDimExpr(idx, getContext());
}
SmallVector<AffineExpr, 8> newSymbols(numSymbols);
for (unsigned idx = numSymbolsThisMap; idx < numSymbols; ++idx) {
newSymbols[idx - numSymbolsThisMap] =
getAffineSymbolExpr(idx, getContext());
}
auto newMap =
map.replaceDimsAndSymbols(newDims, newSymbols, numDims, numSymbols);
SmallVector<AffineExpr, 8> exprs;
exprs.reserve(getResults().size());
for (auto expr : getResults())
exprs.push_back(expr.compose(newMap));
return AffineMap::get(numDims, numSymbols, exprs);
}
bool AffineMap::isProjectedPermutation() {
if (getNumSymbols() > 0)
return false;
SmallVector<bool, 8> seen(getNumInputs(), false);
for (auto expr : getResults()) {
if (auto dim = expr.dyn_cast<AffineDimExpr>()) {
if (seen[dim.getPosition()])
return false;
seen[dim.getPosition()] = true;
continue;
}
return false;
}
return true;
}
bool AffineMap::isPermutation() {
if (getNumDims() != getNumResults())
return false;
return isProjectedPermutation();
}
AffineMap AffineMap::getSubMap(ArrayRef<unsigned> resultPos) {
SmallVector<AffineExpr, 4> exprs;
exprs.reserve(resultPos.size());
for (auto idx : resultPos) {
exprs.push_back(getResult(idx));
}
return AffineMap::get(getNumDims(), getNumSymbols(), exprs);
}
AffineMap mlir::simplifyAffineMap(AffineMap map) {
SmallVector<AffineExpr, 8> exprs;
for (auto e : map.getResults()) {
exprs.push_back(
simplifyAffineExpr(e, map.getNumDims(), map.getNumSymbols()));
}
return AffineMap::get(map.getNumDims(), map.getNumSymbols(), exprs);
}
AffineMap mlir::inversePermutation(AffineMap map) {
if (!map)
return map;
assert(map.getNumSymbols() == 0 && "expected map without symbols");
SmallVector<AffineExpr, 4> exprs(map.getNumDims());
for (auto en : llvm::enumerate(map.getResults())) {
auto expr = en.value();
// Skip non-permutations.
if (auto d = expr.dyn_cast<AffineDimExpr>()) {
if (exprs[d.getPosition()])
continue;
exprs[d.getPosition()] = getAffineDimExpr(en.index(), d.getContext());
}
}
SmallVector<AffineExpr, 4> seenExprs;
seenExprs.reserve(map.getNumDims());
for (auto expr : exprs)
if (expr)
seenExprs.push_back(expr);
if (seenExprs.size() != map.getNumInputs())
return AffineMap();
return AffineMap::get(map.getNumResults(), 0, seenExprs);
}
AffineMap mlir::concatAffineMaps(ArrayRef<AffineMap> maps) {
unsigned numResults = 0;
for (auto m : maps)
numResults += m ? m.getNumResults() : 0;
unsigned numDims = 0;
SmallVector<AffineExpr, 8> results;
results.reserve(numResults);
for (auto m : maps) {
if (!m)
continue;
assert(m.getNumSymbols() == 0 && "expected map without symbols");
results.append(m.getResults().begin(), m.getResults().end());
numDims = std::max(m.getNumDims(), numDims);
}
return numDims == 0 ? AffineMap() : AffineMap::get(numDims, 0, results);
}