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
104 lines
3.9 KiB
C++
104 lines
3.9 KiB
C++
//===- MainModule.cpp - Main pybind module --------------------------------===//
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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 <tuple>
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#include "PybindUtils.h"
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#include "Globals.h"
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#include "IRModule.h"
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#include "Pass.h"
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namespace py = pybind11;
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using namespace mlir;
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using namespace py::literals;
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using namespace mlir::python;
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// -----------------------------------------------------------------------------
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// Module initialization.
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// -----------------------------------------------------------------------------
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PYBIND11_MODULE(_mlir, m) {
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m.doc() = "MLIR Python Native Extension";
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py::class_<PyGlobals>(m, "_Globals", py::module_local())
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.def_property("dialect_search_modules",
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&PyGlobals::getDialectSearchPrefixes,
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&PyGlobals::setDialectSearchPrefixes)
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.def(
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"append_dialect_search_prefix",
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[](PyGlobals &self, std::string moduleName) {
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self.getDialectSearchPrefixes().push_back(std::move(moduleName));
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self.clearImportCache();
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},
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"module_name"_a)
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.def("_register_dialect_impl", &PyGlobals::registerDialectImpl,
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"dialect_namespace"_a, "dialect_class"_a,
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"Testing hook for directly registering a dialect")
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.def("_register_operation_impl", &PyGlobals::registerOperationImpl,
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"operation_name"_a, "operation_class"_a,
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"Testing hook for directly registering an operation");
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// Aside from making the globals accessible to python, having python manage
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// it is necessary to make sure it is destroyed (and releases its python
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// resources) properly.
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m.attr("globals") =
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py::cast(new PyGlobals, py::return_value_policy::take_ownership);
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// Registration decorators.
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m.def(
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"register_dialect",
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[](py::object pyClass) {
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std::string dialectNamespace =
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pyClass.attr("DIALECT_NAMESPACE").cast<std::string>();
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PyGlobals::get().registerDialectImpl(dialectNamespace, pyClass);
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return pyClass;
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},
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"dialect_class"_a,
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"Class decorator for registering a custom Dialect wrapper");
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m.def(
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"register_operation",
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[](const py::object &dialectClass) -> py::cpp_function {
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return py::cpp_function(
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[dialectClass](py::object opClass) -> py::object {
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std::string operationName =
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opClass.attr("OPERATION_NAME").cast<std::string>();
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PyGlobals::get().registerOperationImpl(operationName, opClass);
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// Dict-stuff the new opClass by name onto the dialect class.
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py::object opClassName = opClass.attr("__name__");
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dialectClass.attr(opClassName) = opClass;
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return opClass;
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});
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},
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"dialect_class"_a,
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"Produce a class decorator for registering an Operation class as part of "
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"a dialect");
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m.def(
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MLIR_PYTHON_CAPI_TYPE_CASTER_REGISTER_ATTR,
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[](MlirTypeID mlirTypeID, py::function typeCaster, bool replace) {
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PyGlobals::get().registerTypeCaster(mlirTypeID, std::move(typeCaster),
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replace);
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},
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"typeid"_a, "type_caster"_a, "replace"_a = false,
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"Register a type caster for casting MLIR types to custom user types.");
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// Define and populate IR submodule.
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auto irModule = m.def_submodule("ir", "MLIR IR Bindings");
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populateIRCore(irModule);
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populateIRAffine(irModule);
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populateIRAttributes(irModule);
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populateIRInterfaces(irModule);
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populateIRTypes(irModule);
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// Define and populate PassManager submodule.
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auto passModule =
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m.def_submodule("passmanager", "MLIR Pass Management Bindings");
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populatePassManagerSubmodule(passModule);
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}
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