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 | |