Files
llvm-project/mlir/lib/Bindings/Python/DialectAMDGPU.cpp
Twice b919d62eae [MLIR][Python] Forward the name of MLIR types to Python side (#174700)
In this PR, I added a C API for each (upstream) MLIR type to retrieve
its type name (for example, `IntegerType` -> `mlirIntegerTypeGetName()`
-> `"builtin.integer"`), and exposed a corresponding `type_name` class
attribute in the Python bindings (e.g., `IntegerType.type_name` ->
`"builtin.integer"`). This can be used in various places to avoid
hard-coded strings, such as eliminating the manual string in
`irdl.base("!builtin.integer")`.

Note that parts of this PR (mainly mechanical changes) were produced via
GitHub Copilot and GPT-5.2. I have manually reviewed the changes and
verified them with tests to ensure correctness.
2026-01-07 16:27:31 +08:00

108 lines
3.8 KiB
C++

//===--- DialectAMDGPU.cpp - Pybind module for AMDGPU dialect API support -===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
#include "mlir-c/Dialect/AMDGPU.h"
#include "mlir-c/IR.h"
#include "mlir/Bindings/Python/IRCore.h"
#include "mlir/Bindings/Python/Nanobind.h"
#include "mlir/Bindings/Python/NanobindAdaptors.h"
#include "nanobind/nanobind.h"
namespace nb = nanobind;
using namespace llvm;
using namespace mlir::python::nanobind_adaptors;
namespace mlir {
namespace python {
namespace MLIR_BINDINGS_PYTHON_DOMAIN {
namespace amdgpu {
struct TDMBaseType : PyConcreteType<TDMBaseType> {
static constexpr IsAFunctionTy isaFunction = mlirTypeIsAAMDGPUTDMBaseType;
static constexpr GetTypeIDFunctionTy getTypeIdFunction =
mlirAMDGPUTDMBaseTypeGetTypeID;
static constexpr const char *pyClassName = "TDMBaseType";
static inline const MlirStringRef name = mlirAMDGPUTDMBaseTypeGetName();
using Base::Base;
static void bindDerived(ClassTy &c) {
c.def_static(
"get",
[](const PyType &elementType, DefaultingPyMlirContext context) {
return TDMBaseType(
context->getRef(),
mlirAMDGPUTDMBaseTypeGet(context.get()->get(), elementType));
},
"Gets an instance of TDMBaseType in the same context",
nb::arg("element_type"), nb::arg("context").none() = nb::none());
}
};
struct TDMDescriptorType : PyConcreteType<TDMDescriptorType> {
static constexpr IsAFunctionTy isaFunction =
mlirTypeIsAAMDGPUTDMDescriptorType;
static constexpr GetTypeIDFunctionTy getTypeIdFunction =
mlirAMDGPUTDMDescriptorTypeGetTypeID;
static constexpr const char *pyClassName = "TDMDescriptorType";
static inline const MlirStringRef name = mlirAMDGPUTDMDescriptorTypeGetName();
using Base::Base;
static void bindDerived(ClassTy &c) {
c.def_static(
"get",
[](DefaultingPyMlirContext context) {
return TDMDescriptorType(
context->getRef(),
mlirAMDGPUTDMDescriptorTypeGet(context.get()->get()));
},
"Gets an instance of TDMDescriptorType in the same context",
nb::arg("context").none() = nb::none());
}
};
struct TDMGatherBaseType : PyConcreteType<TDMGatherBaseType> {
static constexpr IsAFunctionTy isaFunction =
mlirTypeIsAAMDGPUTDMGatherBaseType;
static constexpr GetTypeIDFunctionTy getTypeIdFunction =
mlirAMDGPUTDMGatherBaseTypeGetTypeID;
static constexpr const char *pyClassName = "TDMGatherBaseType";
static inline const MlirStringRef name = mlirAMDGPUTDMGatherBaseTypeGetName();
using Base::Base;
static void bindDerived(ClassTy &c) {
c.def_static(
"get",
[](const PyType &elementType, const PyType &indexType,
DefaultingPyMlirContext context) {
return TDMGatherBaseType(
context->getRef(),
mlirAMDGPUTDMGatherBaseTypeGet(context.get()->get(), elementType,
indexType));
},
"Gets an instance of TDMGatherBaseType in the same context",
nb::arg("element_type"), nb::arg("index_type"),
nb::arg("context").none() = nb::none());
}
};
static void populateDialectAMDGPUSubmodule(nb::module_ &m) {
TDMBaseType::bind(m);
TDMDescriptorType::bind(m);
TDMGatherBaseType::bind(m);
}
} // namespace amdgpu
} // namespace MLIR_BINDINGS_PYTHON_DOMAIN
} // namespace python
} // namespace mlir
NB_MODULE(_mlirDialectsAMDGPU, m) {
m.doc() = "MLIR AMDGPU dialect.";
mlir::python::MLIR_BINDINGS_PYTHON_DOMAIN::amdgpu::
populateDialectAMDGPUSubmodule(m);
}