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
41 lines
1.4 KiB
C++
41 lines
1.4 KiB
C++
//===- PythonTestCAPI.cpp - C API for the PythonTest dialect --------------===//
|
|
//
|
|
// 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 "PythonTestCAPI.h"
|
|
#include "PythonTestDialect.h"
|
|
#include "mlir-c/BuiltinTypes.h"
|
|
#include "mlir/CAPI/Registration.h"
|
|
#include "mlir/CAPI/Wrap.h"
|
|
|
|
MLIR_DEFINE_CAPI_DIALECT_REGISTRATION(PythonTest, python_test,
|
|
python_test::PythonTestDialect)
|
|
|
|
bool mlirAttributeIsAPythonTestTestAttribute(MlirAttribute attr) {
|
|
return llvm::isa<python_test::TestAttrAttr>(unwrap(attr));
|
|
}
|
|
|
|
MlirAttribute mlirPythonTestTestAttributeGet(MlirContext context) {
|
|
return wrap(python_test::TestAttrAttr::get(unwrap(context)));
|
|
}
|
|
|
|
bool mlirTypeIsAPythonTestTestType(MlirType type) {
|
|
return llvm::isa<python_test::TestTypeType>(unwrap(type));
|
|
}
|
|
|
|
MlirType mlirPythonTestTestTypeGet(MlirContext context) {
|
|
return wrap(python_test::TestTypeType::get(unwrap(context)));
|
|
}
|
|
|
|
MlirTypeID mlirPythonTestTestTypeGetTypeID(void) {
|
|
return wrap(python_test::TestTypeType::getTypeID());
|
|
}
|
|
|
|
bool mlirTypeIsAPythonTestTestTensorValue(MlirValue value) {
|
|
return mlirTypeIsATensor(wrap(unwrap(value).getType()));
|
|
}
|