Stella Laurenzo | f13893f | 2021-05-09 18:09:09 -0700 | [diff] [blame] | 1 | //===- DialectLinalg.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 "Dialects.h" |
| 10 | #include "mlir-c/Dialect/SparseTensor.h" |
| 11 | #include "mlir-c/IR.h" |
| 12 | #include "mlir/Bindings/Python/PybindAdaptors.h" |
| 13 | |
| 14 | namespace py = pybind11; |
| 15 | using namespace llvm; |
| 16 | using namespace mlir; |
| 17 | using namespace mlir::python::adaptors; |
| 18 | |
| 19 | void mlir::python::populateDialectSparseTensorSubmodule( |
| 20 | py::module m, const py::module &irModule) { |
| 21 | auto attributeClass = irModule.attr("Attribute"); |
| 22 | |
Sean Silva | 8dca953 | 2021-09-14 21:55:54 +0000 | [diff] [blame] | 23 | py::enum_<MlirSparseTensorDimLevelType>(m, "DimLevelType", py::module_local()) |
Stella Laurenzo | f13893f | 2021-05-09 18:09:09 -0700 | [diff] [blame] | 24 | .value("dense", MLIR_SPARSE_TENSOR_DIM_LEVEL_DENSE) |
| 25 | .value("compressed", MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED) |
| 26 | .value("singleton", MLIR_SPARSE_TENSOR_DIM_LEVEL_SINGLETON); |
| 27 | |
| 28 | mlir_attribute_subclass(m, "EncodingAttr", |
| 29 | mlirAttributeIsASparseTensorEncodingAttr, |
| 30 | attributeClass) |
| 31 | .def_classmethod( |
| 32 | "get", |
| 33 | [](py::object cls, |
| 34 | std::vector<MlirSparseTensorDimLevelType> dimLevelTypes, |
| 35 | llvm::Optional<MlirAffineMap> dimOrdering, int pointerBitWidth, |
| 36 | int indexBitWidth, MlirContext context) { |
| 37 | return cls(mlirSparseTensorEncodingAttrGet( |
| 38 | context, dimLevelTypes.size(), dimLevelTypes.data(), |
| 39 | dimOrdering ? *dimOrdering : MlirAffineMap{nullptr}, |
| 40 | pointerBitWidth, indexBitWidth)); |
| 41 | }, |
| 42 | py::arg("cls"), py::arg("dim_level_types"), py::arg("dim_ordering"), |
| 43 | py::arg("pointer_bit_width"), py::arg("index_bit_width"), |
| 44 | py::arg("context") = py::none(), |
| 45 | "Gets a sparse_tensor.encoding from parameters.") |
| 46 | .def_property_readonly( |
| 47 | "dim_level_types", |
| 48 | [](MlirAttribute self) { |
| 49 | std::vector<MlirSparseTensorDimLevelType> ret; |
| 50 | for (int i = 0, |
| 51 | e = mlirSparseTensorEncodingGetNumDimLevelTypes(self); |
| 52 | i < e; ++i) |
| 53 | ret.push_back( |
| 54 | mlirSparseTensorEncodingAttrGetDimLevelType(self, i)); |
| 55 | return ret; |
| 56 | }) |
| 57 | .def_property_readonly( |
| 58 | "dim_ordering", |
| 59 | [](MlirAttribute self) -> llvm::Optional<MlirAffineMap> { |
| 60 | MlirAffineMap ret = |
| 61 | mlirSparseTensorEncodingAttrGetDimOrdering(self); |
| 62 | if (mlirAffineMapIsNull(ret)) |
| 63 | return {}; |
| 64 | return ret; |
| 65 | }) |
| 66 | .def_property_readonly( |
| 67 | "pointer_bit_width", |
| 68 | [](MlirAttribute self) { |
| 69 | return mlirSparseTensorEncodingAttrGetPointerBitWidth(self); |
| 70 | }) |
| 71 | .def_property_readonly("index_bit_width", [](MlirAttribute self) { |
| 72 | return mlirSparseTensorEncodingAttrGetIndexBitWidth(self); |
| 73 | }); |
| 74 | } |