mirror of https://github.com/llvm/torch-mlir
67 lines
2.5 KiB
C++
67 lines
2.5 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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// Also available under a BSD-style license. See LICENSE.
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//
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//===----------------------------------------------------------------------===//
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#include "torch-mlir/Conversion/TorchToMhlo/TorchToMhlo.h"
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#include "../PassDetail.h"
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#include "./PopulatePatterns.h"
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#include "mlir-hlo/Dialect/mhlo/IR/hlo_ops.h"
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#include "mlir/Dialect/Arithmetic/IR/Arithmetic.h"
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#include "mlir/Dialect/Tensor/IR/Tensor.h"
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#include "mlir/Dialect/Traits.h"
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#include "mlir/IR/Matchers.h"
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#include "mlir/Transforms/DialectConversion.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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#include "torch-mlir/Dialect/Torch/Utils/Utils.h"
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#include "torch-mlir/Dialect/TorchConversion/IR/TorchConversionDialect.h"
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#include "torch-mlir/Dialect/TorchConversion/Transforms/BackendTypeConversion.h"
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using namespace mlir;
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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 ConvertTorchToMhlo : public ConvertTorchToMhloBase<ConvertTorchToMhlo> {
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public:
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void getDependentDialects(DialectRegistry ®istry) const override {
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registry.insert<mhlo::MhloDialect>();
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registry.insert<tensor::TensorDialect>();
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registry.insert<arith::ArithmeticDialect>();
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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<mhlo::MhloDialect, tensor::TensorDialect,
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arith::ArithmeticDialect, Torch::TorchDialect>();
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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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torch_to_mhlo::populateBasicOpPatternsAndLegality(typeConverter, patterns,
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target);
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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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};
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} // namespace
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std::unique_ptr<OperationPass<func::FuncOp>>
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mlir::torch::createConvertTorchToMhloPass() {
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return std::make_unique<ConvertTorchToMhlo>();
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}
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