torch-mlir/lib/JITRuntime/JITModule.cpp

90 lines
3.5 KiB
C++

//===------------------------------------------------------------*- C++ -*-===//
//
// This file is licensed 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 "npcomp/JITRuntime/JITModule.h"
#include "mlir/ExecutionEngine/CRunnerUtils.h"
#include "mlir/ExecutionEngine/OptUtils.h"
#include "npcomp/E2E/E2E.h"
#include "llvm/Support/InitLLVM.h"
#include "llvm/Support/TargetSelect.h"
using namespace npcomp;
using namespace mlir;
using llvm::Error;
using llvm::Expected;
using llvm::StringError;
using llvm::Twine;
/// Wrap a string into an llvm::StringError.
static Error make_string_error(const Twine &message) {
return llvm::make_error<StringError>(message.str(),
llvm::inconvertibleErrorCode());
}
JITModule::JITModule() {}
void JITModule::buildBackendCompilationPipeline(PassManager &pm,
bool optimize) {
NPCOMP::E2ELoweringPipelineOptions options;
options.optimize = optimize;
NPCOMP::createE2ELoweringPipeline(pm, options);
}
llvm::Expected<std::unique_ptr<JITModule>>
JITModule::fromCompiledModule(mlir::ModuleOp module,
llvm::ArrayRef<llvm::StringRef> sharedLibs) {
auto expectedEngine = ExecutionEngine::create(
module, [](llvm::Module *) { return Error::success(); },
/*jitCodeGenOptLevel=*/llvm::None, llvm::to_vector<6>(sharedLibs));
if (!expectedEngine)
return expectedEngine.takeError();
std::unique_ptr<JITModule> ret(new JITModule);
ret->engine = std::move(*expectedEngine);
// Here we abuse mlir::ExecutionEngine a bit. It technically returns a
// function pointer, but here we look up a module descriptor.
auto expectedAddress = ret->engine->lookup("__npcomp_module_descriptor");
if (!expectedAddress)
return expectedAddress.takeError();
ret->descriptor =
reinterpret_cast<npcomprt::ModuleDescriptor *>(*expectedAddress);
return ret;
}
// Converter for bridging to npcomprt llvm-lookalike data structures.
static npcomprt::StringRef toNpcomprt(llvm::StringRef s) {
return npcomprt::StringRef(s.data(), s.size());
}
template <typename T>
static npcomprt::ArrayRef<T> toNpcomprt(llvm::ArrayRef<T> a) {
return npcomprt::ArrayRef<T>(a.data(), a.size());
}
template <typename T>
static npcomprt::MutableArrayRef<T> toNpcomprt(llvm::MutableArrayRef<T> a) {
return npcomprt::MutableArrayRef<T>(a.data(), a.size());
}
llvm::Expected<llvm::SmallVector<npcomprt::Ref<npcomprt::Tensor>, 6>>
JITModule::invoke(llvm::StringRef functionName,
llvm::ArrayRef<npcomprt::Ref<npcomprt::Tensor>> inputs) {
npcomprt::FunctionMetadata metadata;
if (npcomprt::failed(npcomprt::getMetadata(
descriptor, toNpcomprt(functionName), metadata)))
return make_string_error("unknown function: " + Twine(functionName));
SmallVector<npcomprt::Ref<npcomprt::Tensor>, 6> outputs(metadata.numOutputs);
if (metadata.numInputs != static_cast<std::int32_t>(inputs.size()))
return make_string_error("invoking '" + Twine(functionName) +
"': expected " + Twine(metadata.numInputs) +
" inputs");
npcomprt::invoke(
descriptor, toNpcomprt(functionName), toNpcomprt(inputs),
toNpcomprt(llvm::makeMutableArrayRef(outputs.data(), outputs.size())));
return outputs;
}