mirror of https://github.com/llvm/torch-mlir
95 lines
3.7 KiB
C++
95 lines
3.7 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/TorchToStablehlo/TorchToStablehlo.h"
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#include "../PassDetail.h"
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#include "PopulatePatterns.h"
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#include "mlir/Dialect/Arith/IR/Arith.h"
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#include "mlir/Dialect/Tensor/IR/Tensor.h"
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#include "stablehlo/dialect/ChloOps.h"
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#include "stablehlo/dialect/StablehloOps.h"
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#include "torch-mlir/Dialect/Torch/Utils/Utils.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 ConvertTorchToStablehlo
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: public ConvertTorchToStablehloBase<ConvertTorchToStablehlo> {
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public:
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ConvertTorchToStablehlo() = default;
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ConvertTorchToStablehlo(bool enableStaticShape, bool enableI32Index) {
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this->enableStaticShape = enableStaticShape;
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this->enableI32Index = enableI32Index;
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}
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void getDependentDialects(DialectRegistry ®istry) const override {
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registry.insert<chlo::ChloDialect>();
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registry.insert<stablehlo::StablehloDialect>();
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registry.insert<tensor::TensorDialect>();
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registry.insert<shape::ShapeDialect>();
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registry.insert<arith::ArithDialect>();
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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<chlo::ChloDialect, stablehlo::StablehloDialect,
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tensor::TensorDialect, arith::ArithDialect,
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shape::ShapeDialect>();
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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_stablehlo::TorchToStablehloOptions options{
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enableStaticShape, enableI32Index ? 32u : 64u};
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torch_to_stablehlo::populateBasicOpPatternsAndLegality(
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typeConverter, patterns, target, options);
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torch_to_stablehlo::populateViewLikeOpPatternsAndLegality(
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typeConverter, patterns, target, options);
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torch_to_stablehlo::populateGatherScatterOpPatternsAndLegality(
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typeConverter, patterns, target, options);
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torch_to_stablehlo::populateReductionOpPatternsAndLegality(
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typeConverter, patterns, target, options);
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torch_to_stablehlo::populateLinearOpPatternsAndLegality(
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typeConverter, patterns, target, options);
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torch_to_stablehlo::populatePoolingOpPatternsAndLegality(
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typeConverter, patterns, target, options);
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torch_to_stablehlo::populateRngOpPatternsAndLegality(
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typeConverter, patterns, target, options);
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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::createConvertTorchToStablehloPass() {
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return std::make_unique<ConvertTorchToStablehlo>(false, false);
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}
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std::unique_ptr<OperationPass<func::FuncOp>>
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mlir::torch::createConvertTorchToStablehloPass(bool enableStaticShape,
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bool enableI32Index) {
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return std::make_unique<ConvertTorchToStablehlo>(enableStaticShape,
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enableI32Index);
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}
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