| //===- DialectLinalg.cpp - 'sparse_tensor' dialect submodule --------------===// |
| // |
| // 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 "Dialects.h" |
| #include "mlir-c/Dialect/SparseTensor.h" |
| #include "mlir-c/IR.h" |
| #include "mlir/Bindings/Python/PybindAdaptors.h" |
| |
| namespace py = pybind11; |
| using namespace llvm; |
| using namespace mlir; |
| using namespace mlir::python::adaptors; |
| |
| void mlir::python::populateDialectSparseTensorSubmodule( |
| py::module m, const py::module &irModule) { |
| auto attributeClass = irModule.attr("Attribute"); |
| |
| py::enum_<MlirSparseTensorDimLevelType>(m, "DimLevelType", py::module_local()) |
| .value("dense", MLIR_SPARSE_TENSOR_DIM_LEVEL_DENSE) |
| .value("compressed", MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED) |
| .value("singleton", MLIR_SPARSE_TENSOR_DIM_LEVEL_SINGLETON); |
| |
| mlir_attribute_subclass(m, "EncodingAttr", |
| mlirAttributeIsASparseTensorEncodingAttr, |
| attributeClass) |
| .def_classmethod( |
| "get", |
| [](py::object cls, |
| std::vector<MlirSparseTensorDimLevelType> dimLevelTypes, |
| llvm::Optional<MlirAffineMap> dimOrdering, int pointerBitWidth, |
| int indexBitWidth, MlirContext context) { |
| return cls(mlirSparseTensorEncodingAttrGet( |
| context, dimLevelTypes.size(), dimLevelTypes.data(), |
| dimOrdering ? *dimOrdering : MlirAffineMap{nullptr}, |
| pointerBitWidth, indexBitWidth)); |
| }, |
| py::arg("cls"), py::arg("dim_level_types"), py::arg("dim_ordering"), |
| py::arg("pointer_bit_width"), py::arg("index_bit_width"), |
| py::arg("context") = py::none(), |
| "Gets a sparse_tensor.encoding from parameters.") |
| .def_property_readonly( |
| "dim_level_types", |
| [](MlirAttribute self) { |
| std::vector<MlirSparseTensorDimLevelType> ret; |
| for (int i = 0, |
| e = mlirSparseTensorEncodingGetNumDimLevelTypes(self); |
| i < e; ++i) |
| ret.push_back( |
| mlirSparseTensorEncodingAttrGetDimLevelType(self, i)); |
| return ret; |
| }) |
| .def_property_readonly( |
| "dim_ordering", |
| [](MlirAttribute self) -> llvm::Optional<MlirAffineMap> { |
| MlirAffineMap ret = |
| mlirSparseTensorEncodingAttrGetDimOrdering(self); |
| if (mlirAffineMapIsNull(ret)) |
| return {}; |
| return ret; |
| }) |
| .def_property_readonly( |
| "pointer_bit_width", |
| [](MlirAttribute self) { |
| return mlirSparseTensorEncodingAttrGetPointerBitWidth(self); |
| }) |
| .def_property_readonly("index_bit_width", [](MlirAttribute self) { |
| return mlirSparseTensorEncodingAttrGetIndexBitWidth(self); |
| }); |
| } |