diff options
| author | max <maksim.levental@gmail.com> | 2023-05-26 10:23:17 -0500 |
|---|---|---|
| committer | max <maksim.levental@gmail.com> | 2023-05-26 11:02:05 -0500 |
| commit | bfb1ba752655bf09b35c486f6cc9817dbedfb1bb (patch) | |
| tree | 0eeac7a4de2ececeabbf6deeb386de30f9d5bf85 /mlir/lib/Bindings/Python/MainModule.cpp | |
| parent | 5310be521db2aa8c05a1c1adb7e108fc2c7c9ddc (diff) | |
[MLIR][python bindings] Add TypeCaster for returning refined types from python APIs
depends on D150839
This diff uses `MlirTypeID` to register `TypeCaster`s (i.e., `[](PyType pyType) -> DerivedTy { return pyType; }`) for all concrete types (i.e., `PyConcrete<...>`) that are then queried for (by `MlirTypeID`) and called in `struct type_caster<MlirType>::cast`. The result is that anywhere an `MlirType mlirType` is returned from a python binding, that `mlirType` is automatically cast to the correct concrete type. For example:
```
c0 = arith.ConstantOp(f32, 0.0)
# CHECK: F32Type(f32)
print(repr(c0.result.type))
unranked_tensor_type = UnrankedTensorType.get(f32)
unranked_tensor = tensor.FromElementsOp(unranked_tensor_type, [c0]).result
# CHECK: UnrankedTensorType
print(type(unranked_tensor.type).__name__)
# CHECK: UnrankedTensorType(tensor<*xf32>)
print(repr(unranked_tensor.type))
```
This functionality immediately extends to typed attributes (i.e., `attr.type`).
The diff also implements similar functionality for `mlir_type_subclass`es but in a slightly different way - for such types (which have no cpp corresponding `class` or `struct`) the user must provide a type caster in python (similar to how `AttrBuilder` works) or in cpp as a `py::cpp_function`.
Reviewed By: ftynse
Differential Revision: https://reviews.llvm.org/D150927
Diffstat (limited to 'mlir/lib/Bindings/Python/MainModule.cpp')
| -rw-r--r-- | mlir/lib/Bindings/Python/MainModule.cpp | 21 |
1 files changed, 15 insertions, 6 deletions
diff --git a/mlir/lib/Bindings/Python/MainModule.cpp b/mlir/lib/Bindings/Python/MainModule.cpp index b32b4186fcb9..cdddfbe50606 100644 --- a/mlir/lib/Bindings/Python/MainModule.cpp +++ b/mlir/lib/Bindings/Python/MainModule.cpp @@ -16,6 +16,7 @@ namespace py = pybind11; using namespace mlir; +using namespace py::literals; using namespace mlir::python; // ----------------------------------------------------------------------------- @@ -35,12 +36,12 @@ PYBIND11_MODULE(_mlir, m) { self.getDialectSearchPrefixes().push_back(std::move(moduleName)); self.clearImportCache(); }, - py::arg("module_name")) + "module_name"_a) .def("_register_dialect_impl", &PyGlobals::registerDialectImpl, - py::arg("dialect_namespace"), py::arg("dialect_class"), + "dialect_namespace"_a, "dialect_class"_a, "Testing hook for directly registering a dialect") .def("_register_operation_impl", &PyGlobals::registerOperationImpl, - py::arg("operation_name"), py::arg("operation_class"), + "operation_name"_a, "operation_class"_a, "Testing hook for directly registering an operation"); // Aside from making the globals accessible to python, having python manage @@ -58,11 +59,11 @@ PYBIND11_MODULE(_mlir, m) { PyGlobals::get().registerDialectImpl(dialectNamespace, pyClass); return pyClass; }, - py::arg("dialect_class"), + "dialect_class"_a, "Class decorator for registering a custom Dialect wrapper"); m.def( "register_operation", - [](py::object dialectClass) -> py::cpp_function { + [](const py::object &dialectClass) -> py::cpp_function { return py::cpp_function( [dialectClass](py::object opClass) -> py::object { std::string operationName = @@ -75,9 +76,17 @@ PYBIND11_MODULE(_mlir, m) { return opClass; }); }, - py::arg("dialect_class"), + "dialect_class"_a, "Produce a class decorator for registering an Operation class as part of " "a dialect"); + m.def( + MLIR_PYTHON_CAPI_TYPE_CASTER_REGISTER_ATTR, + [](MlirTypeID mlirTypeID, py::function typeCaster, bool replace) { + PyGlobals::get().registerTypeCaster(mlirTypeID, std::move(typeCaster), + replace); + }, + "typeid"_a, "type_caster"_a, "replace"_a = false, + "Register a type caster for casting MLIR types to custom user types."); // Define and populate IR submodule. auto irModule = m.def_submodule("ir", "MLIR IR Bindings"); |
