mirror of https://github.com/llvm/torch-mlir
111 lines
4.2 KiB
C++
111 lines
4.2 KiB
C++
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//===- module_builder.cpp -------------------------------------------------===//
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//
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// This file is licensed under a pytorch-style license
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// See frontends/pytorch/LICENSE for license information.
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//
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//===----------------------------------------------------------------------===//
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#include "module_builder.h"
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#include "mlir-c/Bindings/Python/Interop.h"
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#include "mlir-c/Registration.h"
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#include "mlir-c/StandardAttributes.h"
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#include "mlir-c/StandardTypes.h"
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#include "npcomp-c/Registration.h"
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namespace py = pybind11;
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using namespace torch_mlir;
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static py::object getMlirIrClass(const char *className) {
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// Note that the "mlir" module may be a loader which internally sets up
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// the child modules, so it must be resolved incrementally (vs "mlir.ir").
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return py::module::import("mlir").attr("ir").attr(className);
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}
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static py::object createPythonContextIfNone(py::object contextObj) {
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if (contextObj.is_none()) {
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contextObj = getMlirIrClass("Context")();
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}
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return contextObj;
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}
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static MlirContext castPythonObjectToMlirContext(py::object &contextObj) {
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assert(!contextObj.is_none() && "context cannot be None");
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auto contextCapsule = contextObj.attr(MLIR_PYTHON_CAPI_PTR_ATTR);
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MlirContext context = mlirPythonCapsuleToContext(contextCapsule.ptr());
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if (mlirContextIsNull(context)) {
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// An error will have already been set by the above.
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throw py::error_already_set();
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}
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return context;
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}
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static py::object castMlirModuleToPythonObject(MlirModule module) {
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auto moduleClass = getMlirIrClass("Module");
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auto moduleCapsule =
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py::reinterpret_steal<py::object>(mlirPythonModuleToCapsule(module));
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return moduleClass.attr(MLIR_PYTHON_CAPI_FACTORY_ATTR)(moduleCapsule);
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}
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static MlirModule createEmptyModule(MlirContext context) {
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// TODO: Extract location from backtrace.
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MlirLocation loc = mlirLocationUnknownGet(context);
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return mlirModuleCreateEmpty(loc);
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}
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ModuleBuilder::ModuleBuilder(pybind11::object contextObj)
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: contextObj(createPythonContextIfNone(std::move(contextObj))),
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context(castPythonObjectToMlirContext(this->contextObj)),
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module(createEmptyModule(this->context)),
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moduleObj(castMlirModuleToPythonObject(module)),
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unknownLoc(mlirLocationUnknownGet(context)), typeMapper(this->context) {
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// TODO: Rework this once dialect registration C-APIs are in place.
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// https://reviews.llvm.org/D88162
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mlirRegisterAllDialects(context);
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npcompRegisterAllDialects(context);
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// Terminator will always be the first op of an empty module.
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terminator = mlirBlockGetFirstOperation(getBodyBlock());
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}
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std::shared_ptr<AcapController>
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ModuleBuilder::startCaptureFunction(std::string &name,
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std::vector<at::Tensor> args) {
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// TODO: Verify that arguments do not alias each other.
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llvm::SmallVector<MlirType, 4> inputTypes;
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for (auto &arg : args) {
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inputTypes.push_back(typeMapper.forwardTensorToType(arg));
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}
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// TODO: Extract a traceback and use in place of unknownLoc.
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auto funcBuilder =
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FuncBuilder::createFunction(context, unknownLoc, name, inputTypes);
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mlirBlockInsertOwnedOperationBefore(getBodyBlock(), terminator,
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funcBuilder->getFuncOp());
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// Map block arguments.
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MlirBlock entryBlock = funcBuilder->getEntryBlock();
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assert(mlirBlockGetNumArguments(entryBlock) ==
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static_cast<intptr_t>(args.size()) &&
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"entry block incorrect arg arity");
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for (auto it : llvm::enumerate(args)) {
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funcBuilder->mapTensor(it.value(),
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mlirBlockGetArgument(entryBlock, it.index()));
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}
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return std::make_shared<AcapController>(typeMapper, std::move(funcBuilder));
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}
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MlirBlock ModuleBuilder::getBodyBlock() {
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MlirOperation moduleOp = mlirModuleGetOperation(module);
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return mlirRegionGetFirstBlock(mlirOperationGetRegion(moduleOp, 0));
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}
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void ModuleBuilder::bind(py::module &m) {
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py::class_<ModuleBuilder>(m, "ModuleBuilder")
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.def(py::init<py::object>(), py::arg("context") = py::none())
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.def_property_readonly("context", &ModuleBuilder::getContextObj)
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.def_property_readonly("module", &ModuleBuilder::getModuleObj)
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.def("capture_function", &ModuleBuilder::startCaptureFunction,
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py::keep_alive<0, 1>());
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}
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