79 lines
2.7 KiB
C
79 lines
2.7 KiB
C
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//===- ReleaseModeModelRunner.h - 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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#ifndef LLVM_ANALYSIS_RELEASEMODEMODELRUNNER_H
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#define LLVM_ANALYSIS_RELEASEMODEMODELRUNNER_H
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#include "llvm/Analysis/MLModelRunner.h"
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#include <memory>
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#include <vector>
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using namespace llvm;
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namespace llvm {
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/// ReleaseModeModelRunner - production mode implementation of the
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/// MLModelRunner. It uses an AOT-compiled SavedModel for efficient execution.
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template <class TGen>
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class ReleaseModeModelRunner final : public MLModelRunner {
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public:
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/// FeatureNames' type should be an indexed collection of std::string, like
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/// std::array or std::vector, that has a size() method.
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template <class FType>
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ReleaseModeModelRunner(LLVMContext &Ctx, const FType &FeatureNames,
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StringRef DecisionName, StringRef FeedPrefix = "feed_",
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StringRef FetchPrefix = "fetch_")
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: MLModelRunner(Ctx, MLModelRunner::Kind::Release),
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CompiledModel(std::make_unique<TGen>()) {
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assert(CompiledModel && "The CompiledModel should be valid");
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const size_t FeatureCount = FeatureNames.size();
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FeatureIndices.resize(FeatureCount);
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for (size_t I = 0; I < FeatureCount; ++I) {
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const int Index =
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CompiledModel->LookupArgIndex(FeedPrefix.str() + FeatureNames[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 = CompiledModel->LookupResultIndex(FetchPrefix.str() +
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DecisionName.str());
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assert(ResultIndex >= 0 && "Cannot find DecisionName in inlining model");
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}
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virtual ~ReleaseModeModelRunner() = default;
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static bool classof(const MLModelRunner *R) {
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return R->getKind() == MLModelRunner::Kind::Release;
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}
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private:
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void *evaluateUntyped() override {
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CompiledModel->Run();
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return CompiledModel->result_data(ResultIndex);
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}
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void *getTensorUntyped(size_t Index) override {
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return reinterpret_cast<char *>(
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CompiledModel->arg_data(FeatureIndices[Index]));
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}
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std::vector<int32_t> FeatureIndices;
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int32_t ResultIndex = -1;
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std::unique_ptr<TGen> CompiledModel;
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};
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} // namespace llvm
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#endif // LLVM_ANALYSIS_RELEASEMODEMODELRUNNER_H
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