torch-mlir/lib/Conversion/TorchToMhlo/TorchToMhlo.cpp

95 lines
3.9 KiB
C++

//===----------------------------------------------------------------------===//
//
// 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
// Also available under a BSD-style license. See LICENSE.
//
//===----------------------------------------------------------------------===//
#include "torch-mlir/Conversion/TorchToMhlo/TorchToMhlo.h"
#include "../PassDetail.h"
#include "./PopulatePatterns.h"
#include "mlir-hlo/Dialect/mhlo/IR/hlo_ops.h"
#include "mlir/Dialect/Arithmetic/IR/Arithmetic.h"
#include "mlir/Dialect/Tensor/IR/Tensor.h"
#include "mlir/Dialect/Traits.h"
#include "mlir/IR/Matchers.h"
#include "mlir/Transforms/DialectConversion.h"
#include "stablehlo/dialect/ChloOps.h"
#include "torch-mlir/Dialect/Torch/IR/TorchDialect.h"
#include "torch-mlir/Dialect/Torch/IR/TorchOps.h"
#include "torch-mlir/Dialect/Torch/Utils/Utils.h"
#include "torch-mlir/Dialect/TorchConversion/IR/TorchConversionDialect.h"
#include "torch-mlir/Dialect/TorchConversion/Transforms/BackendTypeConversion.h"
using namespace mlir;
using namespace mlir::torch;
using namespace mlir::torch::Torch;
namespace {
class ConvertTorchToMhlo : public ConvertTorchToMhloBase<ConvertTorchToMhlo> {
public:
ConvertTorchToMhlo() = default;
ConvertTorchToMhlo(bool enableStaticShape, bool enableI32Index) {
this->enableStaticShape = enableStaticShape;
this->enableI32Index = enableI32Index;
}
void getDependentDialects(DialectRegistry &registry) const override {
registry.insert<chlo::ChloDialect>();
registry.insert<mhlo::MhloDialect>();
registry.insert<tensor::TensorDialect>();
registry.insert<arith::ArithmeticDialect>();
TorchConversion::getBackendTypeConversionDependentDialects(registry);
}
void runOnOperation() override {
MLIRContext *context = &getContext();
ConversionTarget target(*context);
target.addLegalDialect<chlo::ChloDialect, mhlo::MhloDialect,
tensor::TensorDialect, arith::ArithmeticDialect>();
TypeConverter typeConverter;
typeConverter.addConversion([](Type type) { return type; });
TorchConversion::setupBackendTypeConversion(target, typeConverter);
RewritePatternSet patterns(context);
torch_to_mhlo::TorchToMhloOptions options{enableStaticShape,
enableI32Index ? 32u : 64u};
torch_to_mhlo::populateBasicOpPatternsAndLegality(typeConverter, patterns,
target, options);
torch_to_mhlo::populateViewLikeOpPatternsAndLegality(
typeConverter, patterns, target, options);
torch_to_mhlo::populateGatherOpPatternsAndLegality(typeConverter, patterns,
target, options);
torch_to_mhlo::populateReductionOpPatternsAndLegality(
typeConverter, patterns, target, options);
torch_to_mhlo::populateLinearOpPatternsAndLegality(typeConverter, patterns,
target, options);
torch_to_mhlo::populatePoolingOpPatternsAndLegality(typeConverter, patterns,
target, options);
if (failed(applyPartialConversion(getOperation(), target,
std::move(patterns)))) {
return signalPassFailure();
}
}
};
} // namespace
std::unique_ptr<OperationPass<func::FuncOp>>
mlir::torch::createConvertTorchToMhloPass() {
return std::make_unique<ConvertTorchToMhlo>(false, false);
}
std::unique_ptr<OperationPass<func::FuncOp>>
mlir::torch::createConvertTorchToMhloPass(bool enableStaticShape,
bool enableI32Index) {
return std::make_unique<ConvertTorchToMhlo>(enableStaticShape,
enableI32Index);
}