mirror of https://github.com/llvm/torch-mlir
76 lines
2.7 KiB
C++
76 lines
2.7 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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#ifdef TORCH_MLIR_ENABLE_MHLO
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#include "PassDetail.h"
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#include "mhlo/IR/hlo_ops.h"
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#include "mlir/Dialect/Arith/IR/Arith.h"
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#include "mlir/Dialect/Func/IR/FuncOps.h"
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#include "mlir/Dialect/Shape/IR/Shape.h"
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#include "mlir/Dialect/Tensor/IR/Tensor.h"
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#include "mlir/IR/BuiltinOps.h"
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#include "mlir/IR/OpDefinition.h"
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#include "mlir/Transforms/DialectConversion.h"
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#include "stablehlo/dialect/ChloOps.h"
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#include "torch-mlir/Dialect/TorchConversion/Transforms/Passes.h"
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using namespace mlir;
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using namespace mlir::torch;
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using namespace mlir::torch::TorchConversion;
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namespace {
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class VerifyMhloBackendContractPass
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: public VerifyMhloBackendContractBase<VerifyMhloBackendContractPass> {
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void runOnOperation() override {
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MLIRContext *context = &getContext();
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auto module = getOperation();
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TypeConverter converter;
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converter.addConversion([](Type type) -> Type {
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auto elemTy = type;
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if (isa<TensorType>(type)) {
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elemTy = type.cast<TensorType>().getElementType();
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}
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if (BaseMemRefType::isValidElementType(elemTy))
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return type;
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return nullptr;
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});
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auto opHasLegalTypes = [&](Operation *op) { return converter.isLegal(op); };
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ConversionTarget target(*context);
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// Structural operations.
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target.addDynamicallyLegalOp<ModuleOp, func::FuncOp, func::ReturnOp>(opHasLegalTypes);
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// Shape operations.
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target.addDynamicallyLegalOp<shape::ShapeOfOp>(opHasLegalTypes);
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target.addLegalDialect<mhlo::MhloDialect>();
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target.addLegalDialect<chlo::ChloDialect>();
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target.addLegalDialect<tensor::TensorDialect>();
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target.addLegalDialect<arith::ArithDialect>();
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RewritePatternSet patterns(context);
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if (failed(applyFullConversion(module, target, std::move(patterns)))) {
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// We avoid `module.emitError()` so that mlir-print-op-on-diagnostics
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// doesn't unnecessarily spew out the entire module.
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emitError(module.getLoc())
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<< "Module does not conform to the MHLO backend contract. "
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"See dialect conversion legality information above.";
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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<ModuleOp>>
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mlir::torch::TorchConversion::createVerifyMhloBackendContractPass() {
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return std::make_unique<VerifyMhloBackendContractPass>();
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}
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#endif // TORCH_MLIR_ENABLE_MHLO
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