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