| //===- Tensor.cpp - C API for SparseTensor dialect ------------------------===// |
| // |
| // 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-c/Dialect/SparseTensor.h" |
| #include "mlir-c/IR.h" |
| #include "mlir/CAPI/AffineMap.h" |
| #include "mlir/CAPI/Registration.h" |
| #include "mlir/Dialect/SparseTensor/IR/SparseTensor.h" |
| #include "mlir/Support/LLVM.h" |
| |
| using namespace llvm; |
| using namespace mlir::sparse_tensor; |
| |
| MLIR_DEFINE_CAPI_DIALECT_REGISTRATION(SparseTensor, sparse_tensor, |
| mlir::sparse_tensor::SparseTensorDialect) |
| |
| // Ensure the C-API enums are int-castable to C++ equivalents. |
| static_assert( |
| static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_DENSE) == |
| static_cast<int>(DimLevelType::Dense) && |
| static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED) == |
| static_cast<int>(DimLevelType::Compressed) && |
| static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED_NU) == |
| static_cast<int>(DimLevelType::CompressedNu) && |
| static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED_NO) == |
| static_cast<int>(DimLevelType::CompressedNo) && |
| static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED_NU_NO) == |
| static_cast<int>(DimLevelType::CompressedNuNo) && |
| static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_SINGLETON) == |
| static_cast<int>(DimLevelType::Singleton) && |
| static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_SINGLETON_NU) == |
| static_cast<int>(DimLevelType::SingletonNu) && |
| static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_SINGLETON_NO) == |
| static_cast<int>(DimLevelType::SingletonNo) && |
| static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_SINGLETON_NU_NO) == |
| static_cast<int>(DimLevelType::SingletonNuNo), |
| "MlirSparseTensorDimLevelType (C-API) and DimLevelType (C++) mismatch"); |
| |
| bool mlirAttributeIsASparseTensorEncodingAttr(MlirAttribute attr) { |
| return isa<SparseTensorEncodingAttr>(unwrap(attr)); |
| } |
| |
| MlirAttribute |
| mlirSparseTensorEncodingAttrGet(MlirContext ctx, intptr_t lvlRank, |
| MlirSparseTensorDimLevelType const *lvlTypes, |
| MlirAffineMap dimToLvl, int posWidth, |
| int crdWidth) { |
| SmallVector<DimLevelType> cppLvlTypes; |
| cppLvlTypes.reserve(lvlRank); |
| for (intptr_t l = 0; l < lvlRank; ++l) |
| cppLvlTypes.push_back(static_cast<DimLevelType>(lvlTypes[l])); |
| return wrap(SparseTensorEncodingAttr::get( |
| unwrap(ctx), cppLvlTypes, unwrap(dimToLvl), posWidth, crdWidth)); |
| } |
| |
| MlirAffineMap mlirSparseTensorEncodingAttrGetDimToLvl(MlirAttribute attr) { |
| return wrap(cast<SparseTensorEncodingAttr>(unwrap(attr)).getDimToLvl()); |
| } |
| |
| intptr_t mlirSparseTensorEncodingGetLvlRank(MlirAttribute attr) { |
| return cast<SparseTensorEncodingAttr>(unwrap(attr)).getLvlRank(); |
| } |
| |
| MlirSparseTensorDimLevelType |
| mlirSparseTensorEncodingAttrGetLvlType(MlirAttribute attr, intptr_t lvl) { |
| return static_cast<MlirSparseTensorDimLevelType>( |
| cast<SparseTensorEncodingAttr>(unwrap(attr)).getLvlType(lvl)); |
| } |
| |
| int mlirSparseTensorEncodingAttrGetPosWidth(MlirAttribute attr) { |
| return cast<SparseTensorEncodingAttr>(unwrap(attr)).getPosWidth(); |
| } |
| |
| int mlirSparseTensorEncodingAttrGetCrdWidth(MlirAttribute attr) { |
| return cast<SparseTensorEncodingAttr>(unwrap(attr)).getCrdWidth(); |
| } |