1 //===- DialectSparseTensor.cpp - 'sparse_tensor' dialect submodule --------===// 2 // 3 // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. 4 // See https://llvm.org/LICENSE.txt for license information. 5 // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception 6 // 7 //===----------------------------------------------------------------------===// 8 9 #include "mlir-c/Dialect/SparseTensor.h" 10 #include "mlir-c/IR.h" 11 #include "mlir/Bindings/Python/PybindAdaptors.h" 12 #include <optional> 13 14 namespace py = pybind11; 15 using namespace llvm; 16 using namespace mlir; 17 using namespace mlir::python::adaptors; 18 19 static void populateDialectSparseTensorSubmodule(const py::module &m) { 20 py::enum_<MlirSparseTensorDimLevelType>(m, "DimLevelType", py::module_local()) 21 .value("dense", MLIR_SPARSE_TENSOR_DIM_LEVEL_DENSE) 22 .value("compressed24", MLIR_SPARSE_TENSOR_DIM_LEVEL_TWO_OUT_OF_FOUR) 23 .value("compressed", MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED) 24 .value("compressed-nu", MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED_NU) 25 .value("compressed-no", MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED_NO) 26 .value("compressed-nu-no", MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED_NU_NO) 27 .value("singleton", MLIR_SPARSE_TENSOR_DIM_LEVEL_SINGLETON) 28 .value("singleton-nu", MLIR_SPARSE_TENSOR_DIM_LEVEL_SINGLETON_NU) 29 .value("singleton-no", MLIR_SPARSE_TENSOR_DIM_LEVEL_SINGLETON_NO) 30 .value("singleton-nu-no", MLIR_SPARSE_TENSOR_DIM_LEVEL_SINGLETON_NU_NO) 31 .value("compressed-hi", MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED_WITH_HI) 32 .value("compressed-hi-nu", 33 MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED_WITH_HI_NU) 34 .value("compressed-hi-no", 35 MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED_WITH_HI_NO) 36 .value("compressed-hi-nu-no", 37 MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED_WITH_HI_NU_NO); 38 39 mlir_attribute_subclass(m, "EncodingAttr", 40 mlirAttributeIsASparseTensorEncodingAttr) 41 .def_classmethod( 42 "get", 43 [](py::object cls, std::vector<MlirSparseTensorDimLevelType> lvlTypes, 44 std::optional<MlirAffineMap> dimToLvl, int posWidth, int crdWidth, 45 MlirContext context) { 46 return cls(mlirSparseTensorEncodingAttrGet( 47 context, lvlTypes.size(), lvlTypes.data(), 48 dimToLvl ? *dimToLvl : MlirAffineMap{nullptr}, posWidth, 49 crdWidth)); 50 }, 51 py::arg("cls"), py::arg("lvl_types"), py::arg("dim_to_lvl"), 52 py::arg("pos_width"), py::arg("crd_width"), 53 py::arg("context") = py::none(), 54 "Gets a sparse_tensor.encoding from parameters.") 55 .def_property_readonly( 56 "lvl_types", 57 [](MlirAttribute self) { 58 const int lvlRank = mlirSparseTensorEncodingGetLvlRank(self); 59 std::vector<MlirSparseTensorDimLevelType> ret; 60 ret.reserve(lvlRank); 61 for (int l = 0; l < lvlRank; ++l) 62 ret.push_back(mlirSparseTensorEncodingAttrGetLvlType(self, l)); 63 return ret; 64 }) 65 .def_property_readonly( 66 "dim_to_lvl", 67 [](MlirAttribute self) -> std::optional<MlirAffineMap> { 68 MlirAffineMap ret = mlirSparseTensorEncodingAttrGetDimToLvl(self); 69 if (mlirAffineMapIsNull(ret)) 70 return {}; 71 return ret; 72 }) 73 .def_property_readonly("pos_width", 74 mlirSparseTensorEncodingAttrGetPosWidth) 75 .def_property_readonly("crd_width", 76 mlirSparseTensorEncodingAttrGetCrdWidth); 77 } 78 79 PYBIND11_MODULE(_mlirDialectsSparseTensor, m) { 80 m.doc() = "MLIR SparseTensor dialect."; 81 populateDialectSparseTensorSubmodule(m); 82 } 83