392622d084
Reverts revert #118517 after (hopefully) fixing builders (https://github.com/llvm/llvm-zorg/pull/328, https://github.com/llvm/llvm-zorg/pull/327) This reverts commit 61bf308cf2fc32452f14861c102ace89f5f36fec.
122 lines
4.9 KiB
C++
122 lines
4.9 KiB
C++
//===- PythonTestModuleNanobind.cpp - PythonTest dialect extension --------===//
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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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// This is the nanobind edition of the PythonTest dialect module.
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//===----------------------------------------------------------------------===//
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#include <nanobind/nanobind.h>
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#include <nanobind/stl/vector.h>
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#include "PythonTestCAPI.h"
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#include "mlir-c/BuiltinAttributes.h"
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#include "mlir-c/BuiltinTypes.h"
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#include "mlir-c/IR.h"
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#include "mlir/Bindings/Python/NanobindAdaptors.h"
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namespace nb = nanobind;
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using namespace mlir::python::nanobind_adaptors;
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static bool mlirTypeIsARankedIntegerTensor(MlirType t) {
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return mlirTypeIsARankedTensor(t) &&
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mlirTypeIsAInteger(mlirShapedTypeGetElementType(t));
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}
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NB_MODULE(_mlirPythonTestNanobind, m) {
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m.def(
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"register_python_test_dialect",
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[](MlirContext context, bool load) {
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MlirDialectHandle pythonTestDialect =
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mlirGetDialectHandle__python_test__();
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mlirDialectHandleRegisterDialect(pythonTestDialect, context);
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if (load) {
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mlirDialectHandleLoadDialect(pythonTestDialect, context);
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}
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},
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nb::arg("context"), nb::arg("load") = true);
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m.def(
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"register_dialect",
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[](MlirDialectRegistry registry) {
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MlirDialectHandle pythonTestDialect =
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mlirGetDialectHandle__python_test__();
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mlirDialectHandleInsertDialect(pythonTestDialect, registry);
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},
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nb::arg("registry"));
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mlir_attribute_subclass(m, "TestAttr",
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mlirAttributeIsAPythonTestTestAttribute,
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mlirPythonTestTestAttributeGetTypeID)
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.def_classmethod(
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"get",
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[](const nb::object &cls, MlirContext ctx) {
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return cls(mlirPythonTestTestAttributeGet(ctx));
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},
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nb::arg("cls"), nb::arg("context").none() = nb::none());
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mlir_type_subclass(m, "TestType", mlirTypeIsAPythonTestTestType,
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mlirPythonTestTestTypeGetTypeID)
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.def_classmethod(
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"get",
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[](const nb::object &cls, MlirContext ctx) {
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return cls(mlirPythonTestTestTypeGet(ctx));
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},
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nb::arg("cls"), nb::arg("context").none() = nb::none());
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auto typeCls =
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mlir_type_subclass(m, "TestIntegerRankedTensorType",
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mlirTypeIsARankedIntegerTensor,
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nb::module_::import_(MAKE_MLIR_PYTHON_QUALNAME("ir"))
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.attr("RankedTensorType"))
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.def_classmethod(
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"get",
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[](const nb::object &cls, std::vector<int64_t> shape,
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unsigned width, MlirContext ctx) {
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MlirAttribute encoding = mlirAttributeGetNull();
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return cls(mlirRankedTensorTypeGet(
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shape.size(), shape.data(), mlirIntegerTypeGet(ctx, width),
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encoding));
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},
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nb::arg("cls"), nb::arg("shape"), nb::arg("width"),
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nb::arg("context").none() = nb::none());
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assert(nb::hasattr(typeCls.get_class(), "static_typeid") &&
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"TestIntegerRankedTensorType has no static_typeid");
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MlirTypeID mlirRankedTensorTypeID = mlirRankedTensorTypeGetTypeID();
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nb::module_::import_(MAKE_MLIR_PYTHON_QUALNAME("ir"))
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.attr(MLIR_PYTHON_CAPI_TYPE_CASTER_REGISTER_ATTR)(
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mlirRankedTensorTypeID, nb::arg("replace") = true)(
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nanobind::cpp_function([typeCls](const nb::object &mlirType) {
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return typeCls.get_class()(mlirType);
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}));
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auto valueCls = mlir_value_subclass(m, "TestTensorValue",
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mlirTypeIsAPythonTestTestTensorValue)
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.def("is_null", [](MlirValue &self) {
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return mlirValueIsNull(self);
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});
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nb::module_::import_(MAKE_MLIR_PYTHON_QUALNAME("ir"))
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.attr(MLIR_PYTHON_CAPI_VALUE_CASTER_REGISTER_ATTR)(
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mlirRankedTensorTypeID)(
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nanobind::cpp_function([valueCls](const nb::object &valueObj) {
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nb::object capsule = mlirApiObjectToCapsule(valueObj);
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MlirValue v = mlirPythonCapsuleToValue(capsule.ptr());
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MlirType t = mlirValueGetType(v);
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// This is hyper-specific in order to exercise/test registering a
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// value caster from cpp (but only for a single test case; see
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// testTensorValue python_test.py).
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if (mlirShapedTypeHasStaticShape(t) &&
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mlirShapedTypeGetDimSize(t, 0) == 1 &&
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mlirShapedTypeGetDimSize(t, 1) == 2 &&
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mlirShapedTypeGetDimSize(t, 2) == 3)
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return valueCls.get_class()(valueObj);
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return valueObj;
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}));
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}
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