mirror of https://github.com/llvm/torch-mlir
60 lines
2.0 KiB
C++
60 lines
2.0 KiB
C++
//===------------------------------------------------------------*- C++ -*-===//
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//
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// This file is licensed 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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#ifndef NPCOMP_E2E_E2E_H
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#define NPCOMP_E2E_E2E_H
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#include "mlir/Pass/Pass.h"
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#include "mlir/Pass/PassManager.h"
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namespace mlir {
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namespace NPCOMP {
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// Look in createE2ELoweringPipeline for more information about how these
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// passes fit together.
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//
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// Pass summaries are in Passes.td.
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std::unique_ptr<OperationPass<FuncOp>> createLowerBroadcastToToLoopsPass();
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std::unique_ptr<OperationPass<FuncOp>>
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createLowerLinalgOnTensorToLinalgOnMemrefPass();
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std::unique_ptr<OperationPass<FuncOp>> createResolveShapeOfOpsPass();
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std::unique_ptr<OperationPass<FuncOp>> createResolveTensorLoadStoreOpsPass();
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std::unique_ptr<OperationPass<FuncOp>> createLowerLinalgLoopDimOpsPass();
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std::unique_ptr<OperationPass<FuncOp>> createLowerRankedShapesPass();
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std::unique_ptr<OperationPass<ModuleOp>> createLowerToNpcomprtABIPass();
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std::unique_ptr<OperationPass<FuncOp>> createLowerAllocMemRefOpsPass();
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std::unique_ptr<OperationPass<ModuleOp>> createLowerToLLVMPass();
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void createLowerToHybridTensorMemRefPipeline(OpPassManager &pm);
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struct E2ELoweringPipelineOptions
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: public PassPipelineOptions<E2ELoweringPipelineOptions> {
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// If this option is true, then perform optimizations.
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// If this option is false, only do the bare minimum for correctness.
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Option<bool> optimize{*this, "optimize", llvm::cl::desc("Do optimizations."),
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llvm::cl::init(false)};
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};
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// The main pipeline that encapsulates the full E2E lowering.
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void createE2ELoweringPipeline(OpPassManager &pm,
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const E2ELoweringPipelineOptions &options);
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} // namespace NPCOMP
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} // namespace mlir
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#endif // NPCOMP_E2E_E2E_H
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