
The purpose of the change is to make clear whether the user is retrieving the original function or the wrapper function, in line with the invoke commands. This new functionality is useful for users that already have defined their own packed interface, so they do not want the extra layer of indirection, or for users wanting to the look at the resulting primary function rather than the wrapper function. All locations, except the python bindings now have a `lookupPacked` method that matches the original `lookup` functionality. `lookup` still exists, but with new semantics. - `lookup` returns the function with a given name. If `bool f(int,int)` is compiled, `lookup` will return a reference to `bool(*f)(int,int)`. - `lookupPacked` returns the packed wrapper of the function with the given name. If `bool f(int,int)` is compiled, `lookupPacked` will return `void(*mlir_f)(void**)`. Differential Revision: https://reviews.llvm.org/D114352
132 lines
5.4 KiB
C++
132 lines
5.4 KiB
C++
//===- ExecutionEngineModule.cpp - Python module for execution engine -----===//
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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/Bindings/Python/Interop.h"
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#include "mlir-c/ExecutionEngine.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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namespace {
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/// Owning Wrapper around an ExecutionEngine.
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class PyExecutionEngine {
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public:
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PyExecutionEngine(MlirExecutionEngine executionEngine)
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: executionEngine(executionEngine) {}
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PyExecutionEngine(PyExecutionEngine &&other)
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: executionEngine(other.executionEngine) {
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other.executionEngine.ptr = nullptr;
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}
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~PyExecutionEngine() {
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if (!mlirExecutionEngineIsNull(executionEngine))
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mlirExecutionEngineDestroy(executionEngine);
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}
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MlirExecutionEngine get() { return executionEngine; }
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void release() {
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executionEngine.ptr = nullptr;
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referencedObjects.clear();
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}
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pybind11::object getCapsule() {
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return py::reinterpret_steal<py::object>(
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mlirPythonExecutionEngineToCapsule(get()));
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}
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// Add an object to the list of referenced objects whose lifetime must exceed
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// those of the ExecutionEngine.
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void addReferencedObject(pybind11::object obj) {
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referencedObjects.push_back(obj);
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}
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static pybind11::object createFromCapsule(pybind11::object capsule) {
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MlirExecutionEngine rawPm =
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mlirPythonCapsuleToExecutionEngine(capsule.ptr());
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if (mlirExecutionEngineIsNull(rawPm))
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throw py::error_already_set();
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return py::cast(PyExecutionEngine(rawPm), py::return_value_policy::move);
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}
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private:
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MlirExecutionEngine executionEngine;
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// We support Python ctypes closures as callbacks. Keep a list of the objects
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// so that they don't get garbage collected. (The ExecutionEngine itself
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// just holds raw pointers with no lifetime semantics).
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std::vector<py::object> referencedObjects;
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};
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} // anonymous namespace
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/// Create the `mlir.execution_engine` module here.
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PYBIND11_MODULE(_mlirExecutionEngine, m) {
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m.doc() = "MLIR Execution Engine";
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//----------------------------------------------------------------------------
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// Mapping of the top-level PassManager
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//----------------------------------------------------------------------------
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py::class_<PyExecutionEngine>(m, "ExecutionEngine", py::module_local())
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.def(py::init<>([](MlirModule module, int optLevel,
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const std::vector<std::string> &sharedLibPaths) {
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llvm::SmallVector<MlirStringRef, 4> libPaths;
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for (const std::string &path : sharedLibPaths)
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libPaths.push_back({path.c_str(), path.length()});
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MlirExecutionEngine executionEngine = mlirExecutionEngineCreate(
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module, optLevel, libPaths.size(), libPaths.data());
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if (mlirExecutionEngineIsNull(executionEngine))
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throw std::runtime_error(
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"Failure while creating the ExecutionEngine.");
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return new PyExecutionEngine(executionEngine);
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}),
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py::arg("module"), py::arg("opt_level") = 2,
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py::arg("shared_libs") = py::list(),
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"Create a new ExecutionEngine instance for the given Module. The "
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"module must contain only dialects that can be translated to LLVM. "
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"Perform transformations and code generation at the optimization "
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"level `opt_level` if specified, or otherwise at the default "
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"level of two (-O2). Load a list of libraries specified in "
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"`shared_libs`.")
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.def_property_readonly(MLIR_PYTHON_CAPI_PTR_ATTR,
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&PyExecutionEngine::getCapsule)
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.def("_testing_release", &PyExecutionEngine::release,
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"Releases (leaks) the backing ExecutionEngine (for testing purpose)")
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.def(MLIR_PYTHON_CAPI_FACTORY_ATTR, &PyExecutionEngine::createFromCapsule)
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.def(
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"raw_lookup",
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[](PyExecutionEngine &executionEngine, const std::string &func) {
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auto *res = mlirExecutionEngineLookupPacked(
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executionEngine.get(),
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mlirStringRefCreate(func.c_str(), func.size()));
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return reinterpret_cast<uintptr_t>(res);
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},
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"Lookup function `func` in the ExecutionEngine.")
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.def(
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"raw_register_runtime",
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[](PyExecutionEngine &executionEngine, const std::string &name,
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py::object callbackObj) {
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executionEngine.addReferencedObject(callbackObj);
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uintptr_t rawSym =
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py::cast<uintptr_t>(py::getattr(callbackObj, "value"));
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mlirExecutionEngineRegisterSymbol(
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executionEngine.get(),
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mlirStringRefCreate(name.c_str(), name.size()),
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reinterpret_cast<void *>(rawSym));
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},
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py::arg("name"), py::arg("callback"),
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"Register `callback` as the runtime symbol `name`.")
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.def(
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"dump_to_object_file",
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[](PyExecutionEngine &executionEngine, const std::string &fileName) {
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mlirExecutionEngineDumpToObjectFile(
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executionEngine.get(),
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mlirStringRefCreate(fileName.c_str(), fileName.size()));
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},
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"Dump ExecutionEngine to an object file.");
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}
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