71 lines
3.2 KiB
C++
71 lines
3.2 KiB
C++
//===- SparseTensorPipelines.cpp - Pipelines for sparse tensor code -------===//
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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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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Dialect/SparseTensor/Pipelines/Passes.h"
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#include "mlir/Conversion/Passes.h"
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#include "mlir/Dialect/Arithmetic/Transforms/Passes.h"
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#include "mlir/Dialect/Bufferization/Transforms/Passes.h"
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#include "mlir/Dialect/Func/IR/FuncOps.h"
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#include "mlir/Dialect/Func/Transforms/Passes.h"
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#include "mlir/Dialect/Linalg/Passes.h"
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#include "mlir/Dialect/SparseTensor/IR/SparseTensor.h"
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#include "mlir/Dialect/SparseTensor/Transforms/Passes.h"
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#include "mlir/Dialect/Tensor/Transforms/Passes.h"
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#include "mlir/Dialect/Vector/Transforms/Passes.h"
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#include "mlir/Pass/PassManager.h"
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using namespace mlir;
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using namespace mlir::sparse_tensor;
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//===----------------------------------------------------------------------===//
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// Pipeline implementation.
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//===----------------------------------------------------------------------===//
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void mlir::sparse_tensor::buildSparseCompiler(
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OpPassManager &pm, const SparseCompilerOptions &options) {
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// TODO(wrengr): ensure the original `pm` is for ModuleOp
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pm.addNestedPass<func::FuncOp>(createLinalgGeneralizationPass());
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pm.addPass(createLinalgElementwiseOpFusionPass());
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pm.addPass(createSparsificationPass(options.sparsificationOptions()));
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pm.addPass(createSparseTensorConversionPass(
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options.sparseTensorConversionOptions()));
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pm.addNestedPass<func::FuncOp>(createLinalgBufferizePass());
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pm.addNestedPass<func::FuncOp>(vector::createVectorBufferizePass());
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pm.addNestedPass<func::FuncOp>(createConvertLinalgToLoopsPass());
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pm.addNestedPass<func::FuncOp>(createConvertVectorToSCFPass());
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pm.addNestedPass<func::FuncOp>(createConvertSCFToCFPass());
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pm.addPass(func::createFuncBufferizePass());
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pm.addPass(arith::createConstantBufferizePass());
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pm.addNestedPass<func::FuncOp>(createTensorBufferizePass());
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pm.addNestedPass<func::FuncOp>(
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mlir::bufferization::createFinalizingBufferizePass());
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pm.addPass(createLowerAffinePass());
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pm.addPass(createConvertVectorToLLVMPass(options.lowerVectorToLLVMOptions()));
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pm.addPass(createMemRefToLLVMPass());
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pm.addNestedPass<func::FuncOp>(createConvertComplexToStandardPass());
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pm.addNestedPass<func::FuncOp>(createConvertMathToLLVMPass());
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pm.addPass(createConvertComplexToLLVMPass());
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pm.addPass(createConvertMathToLibmPass());
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pm.addPass(createConvertFuncToLLVMPass());
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pm.addPass(createReconcileUnrealizedCastsPass());
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}
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//===----------------------------------------------------------------------===//
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// Pipeline registration.
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//===----------------------------------------------------------------------===//
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void mlir::sparse_tensor::registerSparseTensorPipelines() {
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PassPipelineRegistration<SparseCompilerOptions>(
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"sparse-compiler",
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"The standard pipeline for taking sparsity-agnostic IR using the"
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" sparse-tensor type, and lowering it to LLVM IR with concrete"
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" representations and algorithms for sparse tensors.",
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buildSparseCompiler);
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}
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