/**
 * Copyright (c) 2026 Huawei Technologies Co., Ltd.
 * This program is free software, you can redistribute it and/or modify it under the terms and conditions of
 * CANN Open Software License Agreement Version 2.0 (the "License").
 * Please refer to the License for details. You may not use this file except in compliance with the License.
 * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
 * INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
 * See LICENSE in the root of the software repository for the full text of the License.
 */

#ifndef AICPU_KERNELS_NORMALIZED_SUB_H
#define AICPU_KERNELS_NORMALIZED_SUB_H

#include "cpu_kernel.h"
#include "unsupported/Eigen/CXX11/Tensor"
#include "utils/bcast.h"

namespace aicpu {
template <typename T>
using TensorMap =
    Eigen::TensorMap<Eigen::Tensor<T, 1, Eigen::RowMajor, Eigen::DenseIndex>,
                     Eigen::Aligned>;

class SubCpuKernel : public CpuKernel {
 public:
  SubCpuKernel() = default;
  ~SubCpuKernel() = default;

  uint32_t Compute(CpuKernelContext &ctx) override;

 private:
  template <typename T>
  uint32_t DoCompute(const CpuKernelContext &ctx);

  template <typename T, int32_t RANK>
  uint32_t BroadcastCompute(TensorMap<T> &x, TensorMap<T> &y, TensorMap<T> &out,
                            const Bcast &bcast);
};
}  // namespace aicpu
#endif