18fc908566
This PR continues the work of https://github.com/llvm/llvm-project/pull/171775 by moving more useful types/attributes into MLIRPythonSupport. You can now do ```c++ struct PyTestIntegerRankedTensorType : mlir::python::MLIR_BINDINGS_PYTHON_DOMAIN::PyConcreteType< PyTestIntegerRankedTensorType, mlir::python::MLIR_BINDINGS_PYTHON_DOMAIN::PyRankedTensorType> struct PyTestTensorValue : mlir::python::MLIR_BINDINGS_PYTHON_DOMAIN::PyConcreteValue< PyTestTensorValue> ``` instead of `mlir_type_subclass` and `mlir_value_subclass`; **specifically manual registration of the "value caster" via indirection through the Python interpreter is no longer necessary** . You can also now freely use all such types at the nanobind API level (e.g., overload based on `FP*`): ```c++ using mlir::python::MLIR_BINDINGS_PYTHON_DOMAIN; standaloneM.def("print_fp_type", [](PyF16Type &) { nb::print("this is a fp16 type"); }); standaloneM.def("print_fp_type", [](PyF32Type &) { nb::print("this is a fp32 type"); }); standaloneM.def("print_fp_type", [](PyF64Type &) { nb::print("this is a fp64 type"); }); ``` Note, here we only port `PythonTestModuleNanobind` but there is a follow-up PR that ports **all** in-tree dialect extensions https://github.com/llvm/llvm-project/pull/174156 to use these. After that one we can soft deprecate `mlir_pure_subclass`. Note, depends on https://github.com/llvm/llvm-project/pull/171775
90 lines
3.4 KiB
C++
90 lines
3.4 KiB
C++
//===- StandaloneExtension.cpp - Extension module -------------------------===//
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//
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// This is the nanobind version of the example module. There is also a pybind11
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// example in StandaloneExtensionPybind11.cpp.
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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#include "Standalone-c/Dialects.h"
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#include "mlir-c/Dialect/Arith.h"
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#include "mlir/Bindings/Python/IRCore.h"
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#include "mlir/Bindings/Python/IRTypes.h"
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#include "mlir/Bindings/Python/Nanobind.h"
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#include "mlir/Bindings/Python/NanobindAdaptors.h"
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namespace nb = nanobind;
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struct PyCustomType
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: mlir::python::MLIR_BINDINGS_PYTHON_DOMAIN::PyConcreteType<PyCustomType> {
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static constexpr IsAFunctionTy isaFunction = mlirStandaloneTypeIsACustomType;
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static constexpr GetTypeIDFunctionTy getTypeIdFunction =
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mlirStandaloneCustomTypeGetTypeID;
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static constexpr const char *pyClassName = "CustomType";
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using PyConcreteType::PyConcreteType;
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static void bindDerived(ClassTy &c) {
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c.def_static(
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"get",
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[](const std::string &value,
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mlir::python::MLIR_BINDINGS_PYTHON_DOMAIN::DefaultingPyMlirContext
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context) {
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return PyCustomType(
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context->getRef(),
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mlirStandaloneCustomTypeGet(
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context.get()->get(),
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mlirStringRefCreateFromCString(value.c_str())));
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},
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nb::arg("value"), nb::arg("context").none() = nb::none());
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}
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};
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NB_MODULE(_standaloneDialectsNanobind, m) {
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//===--------------------------------------------------------------------===//
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// standalone dialect
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//===--------------------------------------------------------------------===//
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auto standaloneM = m.def_submodule("standalone");
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PyCustomType::bind(standaloneM);
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standaloneM.def(
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"register_dialects",
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[](mlir::python::MLIR_BINDINGS_PYTHON_DOMAIN::DefaultingPyMlirContext
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context,
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bool load) {
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MlirDialectHandle arithHandle = mlirGetDialectHandle__arith__();
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MlirDialectHandle standaloneHandle =
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mlirGetDialectHandle__standalone__();
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MlirContext context_ = context.get()->get();
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mlirDialectHandleRegisterDialect(arithHandle, context_);
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mlirDialectHandleRegisterDialect(standaloneHandle, context_);
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if (load) {
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mlirDialectHandleLoadDialect(arithHandle, context_);
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mlirDialectHandleRegisterDialect(standaloneHandle, context_);
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}
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},
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nb::arg("context").none() = nb::none(), nb::arg("load") = true);
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standaloneM.def(
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"print_fp_type",
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[](const mlir::python::MLIR_BINDINGS_PYTHON_DOMAIN::PyF16Type &,
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nb::handle stderr_obj) {
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nb::print("this is a fp16 type", /*end=*/nb::handle(), stderr_obj);
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});
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standaloneM.def(
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"print_fp_type",
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[](const mlir::python::MLIR_BINDINGS_PYTHON_DOMAIN::PyF32Type &,
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nb::handle stderr_obj) {
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nb::print("this is a fp32 type", /*end=*/nb::handle(), stderr_obj);
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});
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standaloneM.def(
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"print_fp_type",
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[](const mlir::python::MLIR_BINDINGS_PYTHON_DOMAIN::PyF64Type &,
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nb::handle stderr_obj) {
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nb::print("this is a fp64 type", /*end=*/nb::handle(), stderr_obj);
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});
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}
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