mirror of https://github.com/llvm/torch-mlir
41 lines
1.2 KiB
C++
41 lines
1.2 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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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>>
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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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void createLowerToHybridTensorMemRefPipeline(OpPassManager &pm);
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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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} // namespace NPCOMP
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} // namespace mlir
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#endif // NPCOMP_E2E_E2E_H
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