mirror of https://github.com/llvm/torch-mlir
175 lines
6.1 KiB
C++
175 lines
6.1 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 "../PassDetail.h"
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#include "npcomp/RefBackend/RefBackend.h"
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#include "mlir/Dialect/SCF/SCF.h"
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#include "mlir/Dialect/StandardOps/IR/Ops.h"
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#include "mlir/Pass/Pass.h"
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#include "mlir/Pass/PassRegistry.h"
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#include "mlir/Transforms/Bufferize.h"
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#include "mlir/Transforms/DialectConversion.h"
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#include "npcomp/Dialect/Refback/IR/RefbackOps.h"
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using namespace mlir;
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using namespace mlir::NPCOMP;
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//===----------------------------------------------------------------------===//
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// Generic "update the types according to the type converter" patterns.
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//
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// TODO: These should be upstreamed. There's nothing specific to memref type
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// conversion about them.
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//===----------------------------------------------------------------------===//
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namespace {
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// This is a type conversion similar to CallOpSignatureConversion.
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class LowerIfOpTypes : public OpConversionPattern<scf::IfOp> {
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public:
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using OpConversionPattern::OpConversionPattern;
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LogicalResult
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matchAndRewrite(scf::IfOp op, ArrayRef<Value> operands,
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ConversionPatternRewriter &rewriter) const override {
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SmallVector<Type, 6> newResultTypes;
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for (auto type : op.getResultTypes()) {
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Type newType = typeConverter->convertType(type);
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if (!newType)
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return rewriter.notifyMatchFailure(op, "not a 1:1 type conversion");
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newResultTypes.push_back(newType);
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}
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rewriter.updateRootInPlace(op, [&] {
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for (auto t : llvm::zip(op.getResults(), newResultTypes))
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std::get<0>(t).setType(std::get<1>(t));
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});
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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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// This is a type conversion similar to CallOpSignatureConversion.
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class LowerForOpTypes : public OpConversionPattern<scf::ForOp> {
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public:
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using OpConversionPattern::OpConversionPattern;
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LogicalResult
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matchAndRewrite(scf::ForOp op, ArrayRef<Value> operands,
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ConversionPatternRewriter &rewriter) const override {
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SmallVector<Type, 6> newResultTypes;
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for (auto type : op.getResultTypes()) {
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Type newType = typeConverter->convertType(type);
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if (!newType)
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return rewriter.notifyMatchFailure(op, "not a 1:1 type conversion");
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newResultTypes.push_back(newType);
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}
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rewriter.updateRootInPlace(op, [&] {
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for (auto t : llvm::zip(op.getResults(), newResultTypes))
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std::get<0>(t).setType(std::get<1>(t));
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auto bodyArgs = op.getBody()->getArguments();
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for (auto t : llvm::zip(llvm::drop_begin(bodyArgs, 1), newResultTypes))
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std::get<0>(t).setType(std::get<1>(t));
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});
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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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// This is a type conversion similar to CallOpSignatureConversion.
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class LowerSelectOpTypes : public OpConversionPattern<SelectOp> {
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public:
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using OpConversionPattern::OpConversionPattern;
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LogicalResult
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matchAndRewrite(SelectOp op, ArrayRef<Value> operands,
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ConversionPatternRewriter &rewriter) const override {
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SelectOp::Adaptor adaptor(operands);
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rewriter.updateRootInPlace(
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op, [&] { op.getResult().setType(adaptor.true_value().getType()); });
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return success();
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}
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};
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} // namespace
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//===----------------------------------------------------------------------===//
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// Further lowerings.
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//===----------------------------------------------------------------------===//
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namespace {
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class LowerTensorToMemrefOp : public OpConversionPattern<TensorToMemrefOp> {
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public:
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using OpConversionPattern::OpConversionPattern;
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LogicalResult
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matchAndRewrite(TensorToMemrefOp op, ArrayRef<Value> operands,
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ConversionPatternRewriter &rewriter) const override {
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TensorToMemrefOp::Adaptor adaptor(operands);
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rewriter.replaceOp(op, adaptor.tensor());
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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 LowerTensorLoadOp : public OpConversionPattern<TensorLoadOp> {
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public:
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using OpConversionPattern::OpConversionPattern;
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LogicalResult
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matchAndRewrite(TensorLoadOp op, ArrayRef<Value> operands,
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ConversionPatternRewriter &rewriter) const override {
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TensorLoadOp::Adaptor adaptor(operands);
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rewriter.replaceOp(op, adaptor.memref());
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return success();
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}
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};
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} // namespace
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//===----------------------------------------------------------------------===//
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// The pass.
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//===----------------------------------------------------------------------===//
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namespace {
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class LowerStructuralToMemref
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: public LowerStructuralToMemrefBase<LowerStructuralToMemref> {
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void runOnOperation() {
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auto func = getOperation();
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auto *context = &getContext();
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BufferizeTypeConverter typeConverter;
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OwningRewritePatternList patterns;
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ConversionTarget target(*context);
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// All ops whose results are not tensor types are legal.
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target.markUnknownOpDynamicallyLegal([](Operation *op) {
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return llvm::all_of(op->getResultTypes(),
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[](Type type) { return !type.isa<TensorType>(); });
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});
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populateFuncOpTypeConversionPattern(patterns, context, typeConverter);
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target.addDynamicallyLegalOp<mlir::FuncOp>([&](mlir::FuncOp op) {
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return typeConverter.isSignatureLegal(op.getType()) &&
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typeConverter.isLegal(&op.getBody());
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});
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patterns.insert<LowerSelectOpTypes>(typeConverter, context);
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patterns.insert<LowerIfOpTypes>(typeConverter, context);
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patterns.insert<LowerForOpTypes>(typeConverter, context);
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patterns.insert<LowerTensorToMemrefOp>(typeConverter, context);
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patterns.insert<LowerTensorLoadOp>(typeConverter, context);
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target.addIllegalOp<TensorToMemrefOp>();
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if (failed(applyFullConversion(func, target, 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::createLowerStructuralToMemrefPass() {
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return std::make_unique<LowerStructuralToMemref>();
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}
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