Files
clang-p2996/mlir/lib/Dialect/SparseTensor/Pipelines/SparseTensorPipelines.cpp
River Riddle dec8af701f [mlir] Move SelectOp from Standard to Arithmetic
This is part of splitting up the standard dialect. See https://llvm.discourse.group/t/standard-dialect-the-final-chapter/ for discussion.

Differential Revision: https://reviews.llvm.org/D118648
2022-02-02 14:45:12 -08:00

60 lines
2.5 KiB
C++

//===- SparseTensorPipelines.cpp - Pipelines for sparse tensor code -------===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
#include "mlir/Dialect/SparseTensor/Pipelines/Passes.h"
#include "mlir/Conversion/Passes.h"
#include "mlir/Dialect/Arithmetic/Transforms/Passes.h"
#include "mlir/Dialect/Bufferization/Transforms/Passes.h"
#include "mlir/Dialect/Linalg/Passes.h"
#include "mlir/Dialect/SparseTensor/IR/SparseTensor.h"
#include "mlir/Dialect/SparseTensor/Transforms/Passes.h"
#include "mlir/Dialect/StandardOps/Transforms/Passes.h"
#include "mlir/Dialect/Tensor/Transforms/Passes.h"
#include "mlir/Pass/PassManager.h"
using namespace mlir;
using namespace mlir::sparse_tensor;
//===----------------------------------------------------------------------===//
// Pipeline implementation.
//===----------------------------------------------------------------------===//
void mlir::sparse_tensor::buildSparseCompiler(
OpPassManager &pm, const SparseCompilerOptions &options) {
pm.addPass(createSparsificationPass(options.sparsificationOptions()));
pm.addPass(createSparseTensorConversionPass());
pm.addPass(createLinalgBufferizePass());
pm.addPass(createConvertLinalgToLoopsPass());
pm.addPass(createConvertVectorToSCFPass());
pm.addPass(createLowerToCFGPass()); // --convert-scf-to-std
pm.addPass(createFuncBufferizePass());
pm.addPass(arith::createConstantBufferizePass());
pm.addPass(createTensorBufferizePass());
pm.addPass(mlir::bufferization::createFinalizingBufferizePass());
pm.addPass(createLowerAffinePass());
pm.addPass(createConvertVectorToLLVMPass());
pm.addPass(createMemRefToLLVMPass());
pm.addPass(createConvertMathToLLVMPass());
pm.addPass(createLowerToLLVMPass()); // --convert-std-to-llvm
pm.addPass(createReconcileUnrealizedCastsPass());
}
//===----------------------------------------------------------------------===//
// Pipeline registration.
//===----------------------------------------------------------------------===//
void mlir::sparse_tensor::registerSparseTensorPipelines() {
PassPipelineRegistration<SparseCompilerOptions>(
"sparse-compiler",
"The standard pipeline for taking sparsity-agnostic IR using the"
" sparse-tensor type, and lowering it to LLVM IR with concrete"
" representations and algorithms for sparse tensors.",
buildSparseCompiler);
}