Files
clang-p2996/mlir/lib/CAPI/Dialect/Transform.cpp
max bfb1ba7526 [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
2023-05-26 11:02:05 -05:00

53 lines
1.9 KiB
C++

//===- Transform.cpp - C Interface for Transform 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 "mlir-c/Dialect/Transform.h"
#include "mlir-c/Support.h"
#include "mlir/CAPI/Registration.h"
#include "mlir/Dialect/Transform/IR/TransformDialect.h"
#include "mlir/Dialect/Transform/IR/TransformTypes.h"
using namespace mlir;
MLIR_DEFINE_CAPI_DIALECT_REGISTRATION(Transform, transform,
transform::TransformDialect)
//===---------------------------------------------------------------------===//
// AnyOpType
//===---------------------------------------------------------------------===//
bool mlirTypeIsATransformAnyOpType(MlirType type) {
return isa<transform::AnyOpType>(unwrap(type));
}
MlirType mlirTransformAnyOpTypeGet(MlirContext ctx) {
return wrap(transform::AnyOpType::get(unwrap(ctx)));
}
//===---------------------------------------------------------------------===//
// OperationType
//===---------------------------------------------------------------------===//
bool mlirTypeIsATransformOperationType(MlirType type) {
return isa<transform::OperationType>(unwrap(type));
}
MlirTypeID mlirTransformOperationTypeGetTypeID(void) {
return wrap(transform::OperationType::getTypeID());
}
MlirType mlirTransformOperationTypeGet(MlirContext ctx,
MlirStringRef operationName) {
return wrap(
transform::OperationType::get(unwrap(ctx), unwrap(operationName)));
}
MlirStringRef mlirTransformOperationTypeGetOperationName(MlirType type) {
return wrap(cast<transform::OperationType>(unwrap(type)).getOperationName());
}