bfb1ba7526
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
66 lines
2.5 KiB
C++
66 lines
2.5 KiB
C++
//===- DialectTransform.cpp - 'transform' dialect submodule ---------------===//
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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 "mlir-c/Dialect/Transform.h"
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#include "mlir-c/IR.h"
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#include "mlir-c/Support.h"
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#include "mlir/Bindings/Python/PybindAdaptors.h"
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namespace py = pybind11;
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using namespace mlir;
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using namespace mlir::python;
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using namespace mlir::python::adaptors;
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void populateDialectTransformSubmodule(const pybind11::module &m) {
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//===-------------------------------------------------------------------===//
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// AnyOpType
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//===-------------------------------------------------------------------===//
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auto anyOpType =
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mlir_type_subclass(m, "AnyOpType", mlirTypeIsATransformAnyOpType);
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anyOpType.def_classmethod(
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"get",
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[](py::object cls, MlirContext ctx) {
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return cls(mlirTransformAnyOpTypeGet(ctx));
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},
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"Get an instance of AnyOpType in the given context.", py::arg("cls"),
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py::arg("context") = py::none());
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//===-------------------------------------------------------------------===//
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// OperationType
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//===-------------------------------------------------------------------===//
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auto operationType =
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mlir_type_subclass(m, "OperationType", mlirTypeIsATransformOperationType,
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mlirTransformOperationTypeGetTypeID);
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operationType.def_classmethod(
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"get",
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[](py::object cls, const std::string &operationName, MlirContext ctx) {
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MlirStringRef cOperationName =
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mlirStringRefCreate(operationName.data(), operationName.size());
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return cls(mlirTransformOperationTypeGet(ctx, cOperationName));
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},
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"Get an instance of OperationType for the given kind in the given "
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"context",
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py::arg("cls"), py::arg("operation_name"),
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py::arg("context") = py::none());
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operationType.def_property_readonly(
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"operation_name",
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[](MlirType type) {
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MlirStringRef operationName =
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mlirTransformOperationTypeGetOperationName(type);
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return py::str(operationName.data, operationName.length);
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},
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"Get the name of the payload operation accepted by the handle.");
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}
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PYBIND11_MODULE(_mlirDialectsTransform, m) {
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m.doc() = "MLIR Transform dialect.";
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populateDialectTransformSubmodule(m);
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}
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