| 1 | //===- PythonTestModule.cpp - Python extension for the PythonTest dialect -===// |
| 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 | // This is the pybind11 edition of the PythonTest dialect module. |
| 9 | //===----------------------------------------------------------------------===// |
| 10 | |
| 11 | #include "PythonTestCAPI.h" |
| 12 | #include "mlir-c/BuiltinAttributes.h" |
| 13 | #include "mlir-c/BuiltinTypes.h" |
| 14 | #include "mlir-c/IR.h" |
| 15 | #include "mlir/Bindings/Python/PybindAdaptors.h" |
| 16 | |
| 17 | namespace py = pybind11; |
| 18 | using namespace mlir::python::adaptors; |
| 19 | using namespace pybind11::literals; |
| 20 | |
| 21 | static bool mlirTypeIsARankedIntegerTensor(MlirType t) { |
| 22 | return mlirTypeIsARankedTensor(type: t) && |
| 23 | mlirTypeIsAInteger(type: mlirShapedTypeGetElementType(type: t)); |
| 24 | } |
| 25 | |
| 26 | PYBIND11_MODULE(_mlirPythonTestPybind11, m) { |
| 27 | m.def( |
| 28 | "register_python_test_dialect" , |
| 29 | [](MlirContext context, bool load) { |
| 30 | MlirDialectHandle pythonTestDialect = |
| 31 | mlirGetDialectHandle__python_test__(); |
| 32 | mlirDialectHandleRegisterDialect(pythonTestDialect, context); |
| 33 | if (load) { |
| 34 | mlirDialectHandleLoadDialect(pythonTestDialect, context); |
| 35 | } |
| 36 | }, |
| 37 | py::arg("context" ), py::arg("load" ) = true); |
| 38 | |
| 39 | m.def( |
| 40 | "register_dialect" , |
| 41 | [](MlirDialectRegistry registry) { |
| 42 | MlirDialectHandle pythonTestDialect = |
| 43 | mlirGetDialectHandle__python_test__(); |
| 44 | mlirDialectHandleInsertDialect(pythonTestDialect, registry); |
| 45 | }, |
| 46 | py::arg("registry" )); |
| 47 | |
| 48 | mlir_attribute_subclass(m, "TestAttr" , |
| 49 | mlirAttributeIsAPythonTestTestAttribute, |
| 50 | mlirPythonTestTestAttributeGetTypeID) |
| 51 | .def_classmethod( |
| 52 | "get" , |
| 53 | [](const py::object &cls, MlirContext ctx) { |
| 54 | return cls(mlirPythonTestTestAttributeGet(ctx)); |
| 55 | }, |
| 56 | py::arg("cls" ), py::arg("context" ) = py::none()); |
| 57 | |
| 58 | mlir_type_subclass(m, "TestType" , mlirTypeIsAPythonTestTestType, |
| 59 | mlirPythonTestTestTypeGetTypeID) |
| 60 | .def_classmethod( |
| 61 | "get" , |
| 62 | [](const py::object &cls, MlirContext ctx) { |
| 63 | return cls(mlirPythonTestTestTypeGet(ctx)); |
| 64 | }, |
| 65 | py::arg("cls" ), py::arg("context" ) = py::none()); |
| 66 | |
| 67 | auto typeCls = |
| 68 | mlir_type_subclass(m, "TestIntegerRankedTensorType" , |
| 69 | mlirTypeIsARankedIntegerTensor, |
| 70 | py::module::import(MAKE_MLIR_PYTHON_QUALNAME("ir" )) |
| 71 | .attr("RankedTensorType" )) |
| 72 | .def_classmethod( |
| 73 | "get" , |
| 74 | [](const py::object &cls, std::vector<int64_t> shape, |
| 75 | unsigned width, MlirContext ctx) { |
| 76 | MlirAttribute encoding = mlirAttributeGetNull(); |
| 77 | return cls(mlirRankedTensorTypeGet( |
| 78 | shape.size(), shape.data(), mlirIntegerTypeGet(ctx, width), |
| 79 | encoding)); |
| 80 | }, |
| 81 | "cls"_a , "shape"_a , "width"_a , "context"_a = py::none()); |
| 82 | |
| 83 | assert(py::hasattr(typeCls.get_class(), "static_typeid" ) && |
| 84 | "TestIntegerRankedTensorType has no static_typeid" ); |
| 85 | |
| 86 | MlirTypeID mlirRankedTensorTypeID = mlirRankedTensorTypeGetTypeID(); |
| 87 | |
| 88 | py::module::import(MAKE_MLIR_PYTHON_QUALNAME("ir" )) |
| 89 | .attr(MLIR_PYTHON_CAPI_TYPE_CASTER_REGISTER_ATTR)(mlirRankedTensorTypeID, |
| 90 | "replace"_a = true)( |
| 91 | pybind11::cpp_function([typeCls](const py::object &mlirType) { |
| 92 | return typeCls.get_class()(mlirType); |
| 93 | })); |
| 94 | |
| 95 | auto valueCls = mlir_value_subclass(m, "TestTensorValue" , |
| 96 | mlirTypeIsAPythonTestTestTensorValue) |
| 97 | .def("is_null" , [](MlirValue &self) { |
| 98 | return mlirValueIsNull(self); |
| 99 | }); |
| 100 | |
| 101 | py::module::import(MAKE_MLIR_PYTHON_QUALNAME("ir" )) |
| 102 | .attr(MLIR_PYTHON_CAPI_VALUE_CASTER_REGISTER_ATTR)( |
| 103 | mlirRankedTensorTypeID)( |
| 104 | pybind11::cpp_function([valueCls](const py::object &valueObj) { |
| 105 | py::object capsule = mlirApiObjectToCapsule(valueObj); |
| 106 | MlirValue v = mlirPythonCapsuleToValue(capsule.ptr()); |
| 107 | MlirType t = mlirValueGetType(v); |
| 108 | // This is hyper-specific in order to exercise/test registering a |
| 109 | // value caster from cpp (but only for a single test case; see |
| 110 | // testTensorValue python_test.py). |
| 111 | if (mlirShapedTypeHasStaticShape(t) && |
| 112 | mlirShapedTypeGetDimSize(t, 0) == 1 && |
| 113 | mlirShapedTypeGetDimSize(t, 1) == 2 && |
| 114 | mlirShapedTypeGetDimSize(t, 2) == 3) |
| 115 | return valueCls.get_class()(valueObj); |
| 116 | return valueObj; |
| 117 | })); |
| 118 | } |
| 119 | |