199 lines
6.8 KiB
C++
199 lines
6.8 KiB
C++
/* -*- C++ -*-
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* Serene programming language.
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*
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* Copyright (c) 2019-2021 Sameer Rahmani <lxsameer@gnu.org>
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#include "serene/passes.h"
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#include "serene/slir/dialect.h"
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#include <llvm/Support/Casting.h>
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#include <mlir/Dialect/LLVMIR/LLVMDialect.h>
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#include <mlir/Dialect/MemRef/IR/MemRef.h>
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#include <mlir/Dialect/StandardOps/IR/Ops.h>
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#include <mlir/IR/Attributes.h>
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#include <mlir/IR/BuiltinAttributes.h>
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#include <mlir/IR/BuiltinOps.h>
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#include <mlir/Pass/Pass.h>
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#include <mlir/Transforms/DialectConversion.h>
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namespace serene::passes {
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struct ValueOpLowering : public mlir::OpRewritePattern<serene::slir::ValueOp> {
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using OpRewritePattern<serene::slir::ValueOp>::OpRewritePattern;
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mlir::LogicalResult
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matchAndRewrite(serene::slir::ValueOp op,
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mlir::PatternRewriter &rewriter) const final;
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};
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mlir::LogicalResult
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ValueOpLowering::matchAndRewrite(serene::slir::ValueOp op,
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mlir::PatternRewriter &rewriter) const {
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auto value = op.value();
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mlir::Location loc = op.getLoc();
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llvm::SmallVector<mlir::Type, 4> arg_types(0);
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auto func_type = rewriter.getFunctionType(arg_types, rewriter.getI64Type());
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auto fn = rewriter.create<mlir::FuncOp>(loc, "randomname", func_type);
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if (!fn) {
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llvm::outs() << "Value Rewrite fn is null\n";
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return mlir::failure();
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}
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auto &entryBlock = *fn.addEntryBlock();
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rewriter.setInsertionPointToStart(&entryBlock);
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auto retVal = rewriter
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.create<mlir::ConstantIntOp>(loc, (int64_t)value,
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rewriter.getI64Type())
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.getResult();
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mlir::ReturnOp returnOp = rewriter.create<mlir::ReturnOp>(loc, retVal);
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if (!returnOp) {
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llvm::outs() << "Value Rewrite returnOp is null\n";
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return mlir::failure();
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}
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fn.setPrivate();
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rewriter.eraseOp(op);
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return mlir::success();
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}
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// Fn lowering pattern
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struct FnOpLowering : public mlir::OpRewritePattern<serene::slir::FnOp> {
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using OpRewritePattern<serene::slir::FnOp>::OpRewritePattern;
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mlir::LogicalResult
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matchAndRewrite(serene::slir::FnOp op,
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mlir::PatternRewriter &rewriter) const final;
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};
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mlir::LogicalResult
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FnOpLowering::matchAndRewrite(serene::slir::FnOp op,
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mlir::PatternRewriter &rewriter) const {
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auto args = op.args();
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auto name = op.name();
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auto isPublic = op.sym_visibility().getValueOr("public") == "public";
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mlir::Location loc = op.getLoc();
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llvm::SmallVector<mlir::Type, 4> arg_types;
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for (auto &arg : args) {
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auto attr = std::get<1>(arg).dyn_cast<mlir::TypeAttr>();
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if (!attr) {
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op.emitError("It's not a type attr");
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return mlir::failure();
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}
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arg_types.push_back(attr.getValue());
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}
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auto func_type = rewriter.getFunctionType(arg_types, rewriter.getI64Type());
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auto fn = rewriter.create<mlir::FuncOp>(loc, name, func_type);
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if (!fn) {
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op.emitError("Value Rewrite fn is null");
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return mlir::failure();
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}
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auto *entryBlock = fn.addEntryBlock();
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rewriter.setInsertionPointToStart(entryBlock);
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auto retVal =
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rewriter
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.create<mlir::ConstantIntOp>(loc, (int64_t)3, rewriter.getI64Type())
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.getResult();
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mlir::ReturnOp returnOp = rewriter.create<mlir::ReturnOp>(loc, retVal);
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if (!returnOp) {
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op.emitError("Value Rewrite returnOp is null");
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rewriter.eraseOp(fn);
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return mlir::failure();
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}
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if (!isPublic) {
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fn.setPrivate();
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}
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rewriter.eraseOp(op);
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return mlir::success();
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}
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// SLIR lowering pass
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struct SLIRToMLIRPass
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: public mlir::PassWrapper<SLIRToMLIRPass,
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mlir::OperationPass<mlir::ModuleOp>> {
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void getDependentDialects(mlir::DialectRegistry ®istry) const override;
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void runOnOperation() final;
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void runOnModule();
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mlir::ModuleOp getModule();
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};
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void SLIRToMLIRPass::getDependentDialects(
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mlir::DialectRegistry ®istry) const {
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registry.insert<mlir::StandardOpsDialect>();
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};
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/// Return the current function being transformed.
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mlir::ModuleOp SLIRToMLIRPass::getModule() { return this->getOperation(); }
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void SLIRToMLIRPass::runOnOperation() { runOnModule(); }
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void SLIRToMLIRPass::runOnModule() {
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auto module = getModule();
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// The first thing to define is the conversion target. This will define the
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// final target for this lowering.
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mlir::ConversionTarget target(getContext());
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// We define the specific operations, or dialects, that are legal targets for
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// this lowering. In our case, we are lowering to a combination of the
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// `Affine`, `MemRef` and `Standard` dialects.
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target.addLegalDialect<mlir::StandardOpsDialect>();
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// We also define the Toy dialect as Illegal so that the conversion will fail
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// if any of these operations are *not* converted. Given that we actually want
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// a partial lowering, we explicitly mark the Toy operations that don't want
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// to lower, `toy.print`, as `legal`.
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target.addIllegalDialect<serene::slir::SereneDialect>();
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// target.addLegalOp<serene::slir::PrintOp>();
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target.addLegalOp<mlir::FuncOp>();
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// Now that the conversion target has been defined, we just need to provide
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// the set of patterns that will lower the Toy operations.
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mlir::RewritePatternSet patterns(&getContext());
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patterns.add<ValueOpLowering, FnOpLowering>(&getContext());
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// With the target and rewrite patterns defined, we can now attempt the
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// conversion. The conversion will signal failure if any of our `illegal`
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// operations were not converted successfully.
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if (failed(applyPartialConversion(module, target, std::move(patterns))))
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signalPassFailure();
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};
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std::unique_ptr<mlir::Pass> createSLIRLowerToMLIRPass() {
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return std::make_unique<SLIRToMLIRPass>();
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};
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} // namespace serene::passes
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