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("compressed", MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED) 23 .value("compressed-nu", MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED_NU) 24 .value("compressed-no", MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED_NO) 25 .value("compressed-nu-no", MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED_NU_NO) 26 .value("singleton", MLIR_SPARSE_TENSOR_DIM_LEVEL_SINGLETON) 27 .value("singleton-nu", MLIR_SPARSE_TENSOR_DIM_LEVEL_SINGLETON_NU) 28 .value("singleton-no", MLIR_SPARSE_TENSOR_DIM_LEVEL_SINGLETON_NO) 29 .value("singleton-nu-no", MLIR_SPARSE_TENSOR_DIM_LEVEL_SINGLETON_NU_NO) 30 .value("compressed-hi", MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED_WITH_HI) 31 .value("compressed-hi-nu", 32 MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED_WITH_HI_NU) 33 .value("compressed-hi-no", 34 MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED_WITH_HI_NO) 35 .value("compressed-hi-nu-no", 36 MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED_WITH_HI_NU_NO); 37 38 mlir_attribute_subclass(m, "EncodingAttr", 39 mlirAttributeIsASparseTensorEncodingAttr) 40 .def_classmethod( 41 "get", 42 [](py::object cls, std::vector<MlirSparseTensorDimLevelType> lvlTypes, 43 std::optional<MlirAffineMap> dimOrdering, 44 std::optional<MlirAffineMap> higherOrdering, int posWidth, 45 int crdWidth, MlirContext context) { 46 return cls(mlirSparseTensorEncodingAttrGet( 47 context, lvlTypes.size(), lvlTypes.data(), 48 dimOrdering ? *dimOrdering : MlirAffineMap{nullptr}, 49 higherOrdering ? *higherOrdering : MlirAffineMap{nullptr}, 50 posWidth, crdWidth)); 51 }, 52 py::arg("cls"), py::arg("lvl_types"), py::arg("dim_ordering"), 53 py::arg("higher_ordering"), py::arg("pos_width"), 54 py::arg("crd_width"), py::arg("context") = py::none(), 55 "Gets a sparse_tensor.encoding from parameters.") 56 .def_property_readonly( 57 "lvl_types", 58 [](MlirAttribute self) { 59 const int lvlRank = mlirSparseTensorEncodingGetLvlRank(self); 60 std::vector<MlirSparseTensorDimLevelType> ret; 61 ret.reserve(lvlRank); 62 for (int l = 0; l < lvlRank; ++l) 63 ret.push_back(mlirSparseTensorEncodingAttrGetLvlType(self, l)); 64 return ret; 65 }) 66 .def_property_readonly( 67 "dim_ordering", 68 [](MlirAttribute self) -> std::optional<MlirAffineMap> { 69 MlirAffineMap ret = 70 mlirSparseTensorEncodingAttrGetDimOrdering(self); 71 if (mlirAffineMapIsNull(ret)) 72 return {}; 73 return ret; 74 }) 75 .def_property_readonly( 76 "higher_ordering", 77 [](MlirAttribute self) -> std::optional<MlirAffineMap> { 78 MlirAffineMap ret = 79 mlirSparseTensorEncodingAttrGetHigherOrdering(self); 80 if (mlirAffineMapIsNull(ret)) 81 return {}; 82 return ret; 83 }) 84 .def_property_readonly("pos_width", 85 mlirSparseTensorEncodingAttrGetPosWidth) 86 .def_property_readonly("crd_width", 87 mlirSparseTensorEncodingAttrGetCrdWidth); 88 } 89 90 PYBIND11_MODULE(_mlirDialectsSparseTensor, m) { 91 m.doc() = "MLIR SparseTensor dialect."; 92 populateDialectSparseTensorSubmodule(m); 93 } 94