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Summary: This implementation uses a pre-trained model which is statically compiled into a native function. RFC: http://lists.llvm.org/pipermail/llvm-dev/2020-April/140763.html Reviewers: davidxl, jdoerfert, dblaikie Subscribers: mgorny, eraman, hiraditya, arphaman, llvm-commits Tags: #llvm Differential Revision: https://reviews.llvm.org/D81515
40 lines
1.2 KiB
C++
40 lines
1.2 KiB
C++
//===- MLModelRunner.h ---- ML model runner interface -----------*- C++ -*-===//
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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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#ifndef LLVM_ANALYSIS_MLMODELRUNNER_H
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#define LLVM_ANALYSIS_MLMODELRUNNER_H
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#include "llvm/Analysis/InlineModelFeatureMaps.h"
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#include "llvm/IR/LLVMContext.h"
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#include "llvm/IR/PassManager.h"
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namespace llvm {
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/// MLModelRunner interface: abstraction of a mechanism for evaluating a
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/// tensorflow "saved model".
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class MLModelRunner {
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public:
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// Disallows copy and assign.
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MLModelRunner(const MLModelRunner &) = delete;
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MLModelRunner &operator=(const MLModelRunner &) = delete;
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virtual ~MLModelRunner() = default;
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virtual bool run() = 0;
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virtual void setFeature(FeatureIndex Index, int64_t Value) = 0;
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virtual int64_t getFeature(int Index) const = 0;
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protected:
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MLModelRunner(LLVMContext &Ctx) : Ctx(Ctx) {}
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LLVMContext &Ctx;
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};
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} // namespace llvm
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#endif // LLVM_ANALYSIS_MLMODELRUNNER_H
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