//===- 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);
}