mirror of https://github.com/llvm/torch-mlir
97 lines
3.6 KiB
C++
97 lines
3.6 KiB
C++
//===----------------------------------------------------------------------===//
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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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#include "npcomp/Conversion/TorchToSCF/TorchToSCF.h"
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#include "../PassDetail.h"
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#include "mlir/Dialect/SCF/SCF.h"
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#include "mlir/Transforms/DialectConversion.h"
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#include "npcomp/Dialect/TorchConversion/IR/TorchConversionDialect.h"
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#include "npcomp/Dialect/TorchConversion/Transforms/BackendTypeConversion.h"
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#include "torch-mlir/Dialect/Torch/IR/TorchDialect.h"
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#include "torch-mlir/Dialect/Torch/IR/TorchOps.h"
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using namespace mlir;
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using namespace mlir::NPCOMP;
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using namespace mlir::torch;
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using namespace mlir::torch::Torch;
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namespace {
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class ConvertTorchPrimIfYieldOp : public OpConversionPattern<PrimIfYieldOp> {
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public:
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using OpConversionPattern<PrimIfYieldOp>::OpConversionPattern;
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LogicalResult
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matchAndRewrite(PrimIfYieldOp op, ArrayRef<Value> operands,
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ConversionPatternRewriter &rewriter) const override {
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rewriter.replaceOpWithNewOp<scf::YieldOp>(op, operands);
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return success();
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}
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};
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} // namespace
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namespace {
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class ConvertTorchPrimIfOp : public OpConversionPattern<PrimIfOp> {
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public:
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using OpConversionPattern<PrimIfOp>::OpConversionPattern;
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LogicalResult
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matchAndRewrite(PrimIfOp op, ArrayRef<Value> operands,
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ConversionPatternRewriter &rewriter) const override {
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SmallVector<Type, 1> newResultTypes;
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if (failed(getTypeConverter()->convertTypes(op.getResultTypes(),
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newResultTypes)))
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return rewriter.notifyMatchFailure(op,
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"could not convert PrimIfOp outputs");
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auto scfIf = rewriter.create<scf::IfOp>(
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op->getLoc(), newResultTypes, operands[0], /*withElseRegion=*/true);
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auto inlineIfCase = [&](Region &srcRegion, Region &dstRegion) {
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rewriter.inlineRegionBefore(srcRegion, dstRegion, dstRegion.begin());
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rewriter.eraseBlock(&dstRegion.back());
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};
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inlineIfCase(op.thenRegion(), scfIf.thenRegion());
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inlineIfCase(op.elseRegion(), scfIf.elseRegion());
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rewriter.replaceOp(op, scfIf.getResults());
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return success();
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}
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};
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} // namespace
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namespace {
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class ConvertTorchToSCF : public ConvertTorchToSCFBase<ConvertTorchToSCF> {
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public:
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void getDependentDialects(DialectRegistry ®istry) const override {
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registry.insert<scf::SCFDialect>();
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TorchConversion::getBackendTypeConversionDependentDialects(registry);
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}
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void runOnOperation() override {
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MLIRContext *context = &getContext();
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ConversionTarget target(*context);
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target.addLegalDialect<Torch::TorchDialect, scf::SCFDialect>();
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TypeConverter typeConverter;
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typeConverter.addConversion([](Type type) { return type; });
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TorchConversion::setupBackendTypeConversion(target, typeConverter);
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RewritePatternSet patterns(context);
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target.addIllegalOp<PrimIfOp>();
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patterns.add<ConvertTorchPrimIfOp>(typeConverter, context);
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target.addIllegalOp<PrimIfYieldOp>();
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patterns.add<ConvertTorchPrimIfYieldOp>(typeConverter, context);
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if (failed(applyPartialConversion(getOperation(), target,
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std::move(patterns))))
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return signalPassFailure();
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}
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};
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} // namespace
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std::unique_ptr<OperationPass<FuncOp>>
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mlir::NPCOMP::createConvertTorchToSCFPass() {
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return std::make_unique<ConvertTorchToSCF>();
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}
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