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Outside of compiler-rt (where it's arguably an anti-pattern too), LLVM tries to keep its build files as simple as possible. See e.g. llvm/docs/SupportLibrary.rst, "Code Organization". Differential Revision: https://reviews.llvm.org/D84243
91 lines
2.9 KiB
C++
91 lines
2.9 KiB
C++
//===- ReleaseModeModelRunner.cpp - Fast, precompiled model runner -------===//
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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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//
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// This file implements a model runner wrapping an AOT compiled ML model.
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// Only inference is supported.
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//
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//===----------------------------------------------------------------------===//
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#include "llvm/Config/config.h"
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#if defined(LLVM_HAVE_TF_AOT)
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#include "llvm/Analysis/InlineModelFeatureMaps.h"
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#include "llvm/Analysis/MLInlineAdvisor.h"
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// codegen-ed file
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#include "InlinerSizeModel.h" // NOLINT
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#include <memory>
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#include <vector>
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using namespace llvm;
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namespace {
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static const char *const FeedPrefix = "feed_";
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static const char *const FetchPrefix = "fetch_";
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/// MLModelRunner - production mode implementation. It uses a AOT-compiled
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/// SavedModel for efficient execution.
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class ReleaseModeModelRunner final : public MLModelRunner {
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public:
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ReleaseModeModelRunner(LLVMContext &Ctx);
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virtual ~ReleaseModeModelRunner() = default;
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bool run() override;
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void setFeature(FeatureIndex Index, int64_t Value) override;
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int64_t getFeature(int Index) const override;
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private:
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std::vector<int32_t> FeatureIndices;
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int32_t ResultIndex = -1;
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std::unique_ptr<llvm::InlinerSizeModel> CompiledModel;
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};
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} // namespace
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ReleaseModeModelRunner::ReleaseModeModelRunner(LLVMContext &Ctx)
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: MLModelRunner(Ctx),
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CompiledModel(std::make_unique<llvm::InlinerSizeModel>()) {
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assert(CompiledModel && "The CompiledModel should be valid");
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FeatureIndices.reserve(NumberOfFeatures);
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for (size_t I = 0; I < NumberOfFeatures; ++I) {
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const int Index =
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CompiledModel->LookupArgIndex(FeedPrefix + FeatureNameMap[I]);
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assert(Index >= 0 && "Cannot find Feature in inlining model");
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FeatureIndices[I] = Index;
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}
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ResultIndex =
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CompiledModel->LookupResultIndex(std::string(FetchPrefix) + DecisionName);
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assert(ResultIndex >= 0 && "Cannot find DecisionName in inlining model");
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}
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int64_t ReleaseModeModelRunner::getFeature(int Index) const {
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return *static_cast<int64_t *>(
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CompiledModel->arg_data(FeatureIndices[Index]));
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}
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void ReleaseModeModelRunner::setFeature(FeatureIndex Index, int64_t Value) {
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*static_cast<int64_t *>(CompiledModel->arg_data(
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FeatureIndices[static_cast<size_t>(Index)])) = Value;
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}
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bool ReleaseModeModelRunner::run() {
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CompiledModel->Run();
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return static_cast<bool>(
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*static_cast<int64_t *>(CompiledModel->result_data(ResultIndex)));
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}
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std::unique_ptr<InlineAdvisor>
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llvm::getReleaseModeAdvisor(Module &M, ModuleAnalysisManager &MAM) {
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auto AOTRunner = std::make_unique<ReleaseModeModelRunner>(M.getContext());
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return std::make_unique<MLInlineAdvisor>(M, MAM, std::move(AOTRunner));
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}
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#endif // defined(LLVM_HAVE_TF_AOT)
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