We are trying to make a wrapper of MLIR for Julia in https://github.com/JuliaLabs/MLIR.jl, but some dialects are missing in `libMLIR-C`. This PR adds them.
188 lines
6.2 KiB
C++
188 lines
6.2 KiB
C++
//===- RaiseMemrefDialect.cpp - raise memref.store and load to affine ops -===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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//
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// This file implements functionality to convert memref load and store ops to
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// the corresponding affine ops, inferring the affine map as needed.
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Dialect/Affine/Analysis/Utils.h"
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#include "mlir/Dialect/Affine/Transforms/Passes.h"
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#include "mlir/Dialect/Affine/Transforms/Transforms.h"
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#include "mlir/Dialect/Affine/Utils.h"
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#include "mlir/Dialect/Func/IR/FuncOps.h"
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#include "mlir/Dialect/MemRef/IR/MemRef.h"
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#include "mlir/IR/AffineExpr.h"
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#include "mlir/IR/Matchers.h"
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#include "mlir/IR/Operation.h"
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#include "mlir/Pass/Pass.h"
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#include "llvm/Support/Casting.h"
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#include "llvm/Support/Debug.h"
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namespace mlir {
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namespace affine {
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#define GEN_PASS_DEF_RAISEMEMREFDIALECT
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#include "mlir/Dialect/Affine/Transforms/Passes.h.inc"
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} // namespace affine
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} // namespace mlir
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#define DEBUG_TYPE "raise-memref-to-affine"
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using namespace mlir;
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using namespace mlir::affine;
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namespace {
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/// Find the index of the given value in the `dims` list,
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/// and append it if it was not already in the list. The
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/// dims list is a list of symbols or dimensions of the
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/// affine map. Within the results of an affine map, they
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/// are identified by their index, which is why we need
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/// this function.
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static std::optional<size_t>
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findInListOrAdd(Value value, llvm::SmallVectorImpl<Value> &dims,
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function_ref<bool(Value)> isValidElement) {
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Value *loopIV = llvm::find(dims, value);
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if (loopIV != dims.end()) {
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// We found an IV that already has an index, return that index.
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return {std::distance(dims.begin(), loopIV)};
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}
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if (isValidElement(value)) {
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// This is a valid element for the dim/symbol list, push this as a
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// parameter.
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size_t idx = dims.size();
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dims.push_back(value);
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return idx;
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}
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return std::nullopt;
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}
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/// Convert a value to an affine expr if possible. Adds dims and symbols
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/// if needed.
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static AffineExpr toAffineExpr(Value value,
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llvm::SmallVectorImpl<Value> &affineDims,
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llvm::SmallVectorImpl<Value> &affineSymbols) {
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using namespace matchers;
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IntegerAttr::ValueType cst;
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if (matchPattern(value, m_ConstantInt(&cst))) {
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return getAffineConstantExpr(cst.getSExtValue(), value.getContext());
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}
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Operation *definingOp = value.getDefiningOp();
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if (llvm::isa_and_nonnull<arith::AddIOp>(definingOp) ||
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llvm::isa_and_nonnull<arith::MulIOp>(definingOp)) {
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// TODO: replace recursion with explicit stack.
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// For the moment this can be tolerated as we only recurse on
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// arith.addi and arith.muli, so there cannot be any infinite
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// recursion. The depth of these expressions should be in most
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// cases very manageable, as affine expressions should be as
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// simple as `a + b * c`.
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AffineExpr lhsE =
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toAffineExpr(definingOp->getOperand(0), affineDims, affineSymbols);
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AffineExpr rhsE =
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toAffineExpr(definingOp->getOperand(1), affineDims, affineSymbols);
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if (lhsE && rhsE) {
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AffineExprKind kind;
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if (isa<arith::AddIOp>(definingOp)) {
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kind = mlir::AffineExprKind::Add;
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} else {
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kind = mlir::AffineExprKind::Mul;
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if (!lhsE.isSymbolicOrConstant() && !rhsE.isSymbolicOrConstant()) {
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// This is not an affine expression, give up.
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return {};
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}
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}
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return getAffineBinaryOpExpr(kind, lhsE, rhsE);
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}
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return {};
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}
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if (auto dimIx = findInListOrAdd(value, affineSymbols, [](Value v) {
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return affine::isValidSymbol(v);
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})) {
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return getAffineSymbolExpr(*dimIx, value.getContext());
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}
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if (auto dimIx = findInListOrAdd(
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value, affineDims, [](Value v) { return affine::isValidDim(v); })) {
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return getAffineDimExpr(*dimIx, value.getContext());
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}
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return {};
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}
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static LogicalResult
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computeAffineMapAndArgs(MLIRContext *ctx, ValueRange indices, AffineMap &map,
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llvm::SmallVectorImpl<Value> &mapArgs) {
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SmallVector<AffineExpr> results;
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SmallVector<Value> symbols;
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SmallVector<Value> dims;
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for (Value indexExpr : indices) {
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AffineExpr res = toAffineExpr(indexExpr, dims, symbols);
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if (!res) {
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return failure();
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}
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results.push_back(res);
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}
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map = AffineMap::get(dims.size(), symbols.size(), results, ctx);
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dims.append(symbols);
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mapArgs.swap(dims);
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return success();
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}
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struct RaiseMemrefDialect
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: public affine::impl::RaiseMemrefDialectBase<RaiseMemrefDialect> {
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void runOnOperation() override {
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auto *ctx = &getContext();
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Operation *op = getOperation();
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IRRewriter rewriter(ctx);
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AffineMap map;
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SmallVector<Value> mapArgs;
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op->walk([&](Operation *op) {
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rewriter.setInsertionPoint(op);
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if (auto store = llvm::dyn_cast_or_null<memref::StoreOp>(op)) {
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if (succeeded(computeAffineMapAndArgs(ctx, store.getIndices(), map,
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mapArgs))) {
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rewriter.replaceOpWithNewOp<AffineStoreOp>(
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op, store.getValueToStore(), store.getMemRef(), map, mapArgs);
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return;
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}
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LLVM_DEBUG(llvm::dbgs()
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<< "[affine] Cannot raise memref op: " << op << "\n");
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} else if (auto load = llvm::dyn_cast_or_null<memref::LoadOp>(op)) {
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if (succeeded(computeAffineMapAndArgs(ctx, load.getIndices(), map,
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mapArgs))) {
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rewriter.replaceOpWithNewOp<AffineLoadOp>(op, load.getMemRef(), map,
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mapArgs);
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return;
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}
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LLVM_DEBUG(llvm::dbgs()
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<< "[affine] Cannot raise memref op: " << op << "\n");
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}
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});
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}
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};
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} // namespace
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std::unique_ptr<OperationPass<func::FuncOp>>
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mlir::affine::createRaiseMemrefToAffine() {
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return std::make_unique<RaiseMemrefDialect>();
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}
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