ydb/contrib/libs/llvm14/include/llvm/Analysis/NoInferenceModelRunner.h

#pragma once

#ifdef __GNUC__
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wunused-parameter"
#endif

//===- NoInferenceModelRunner.h ---- noop ML model runner  ------*- C++ -*-===//
//
// Part of the LLVM Project, 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
//
//===----------------------------------------------------------------------===//
//

#ifndef LLVM_ANALYSIS_NOINFERENCEMODELRUNNER_H
#define LLVM_ANALYSIS_NOINFERENCEMODELRUNNER_H

#include "llvm/Config/llvm-config.h"

/// While not strictly necessary to conditionally compile this, it really
/// has no usecase outside the 'development' mode.
#ifdef LLVM_HAVE_TF_API
#include "llvm/Analysis/MLModelRunner.h"
#include "llvm/Analysis/Utils/TFUtils.h"
namespace llvm {
/// A pseudo model runner. We use it to store feature values when collecting
/// logs for the default policy, in 'development' mode, but never ask it to
/// 'run'.
class NoInferenceModelRunner : public MLModelRunner {
public:
  NoInferenceModelRunner(LLVMContext &Ctx,
                         const std::vector<TensorSpec> &Inputs);

  static bool classof(const MLModelRunner *R) {
    return R->getKind() == MLModelRunner::Kind::NoOp;
  }

private:
  void *evaluateUntyped() override {
    llvm_unreachable("We shouldn't call run on this model runner.");
  }
  void *getTensorUntyped(size_t Index) override;

  std::vector<std::unique_ptr<char[]>> ValuesBuffer;
};
} // namespace llvm
#endif // defined(LLVM_HAVE_TF_API)
#endif // LLVM_ANALYSIS_NOINFERENCEMODELRUNNER_H

#ifdef __GNUC__
#pragma GCC diagnostic pop
#endif