* 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.
*/
* \file split_v_aicpu.h
* \brief SplitV AICPU kernel implementation
*/
#ifndef AICPU_KERNELS_NORMALIZED_SPLIT_V_H_
#define AICPU_KERNELS_NORMALIZED_SPLIT_V_H_
#include <memory>
#include <vector>
#include "unsupported/Eigen/CXX11/Tensor"
#include "securec.h"
#include "cpu_kernel.h"
#include "cpu_kernel_utils.h"
#include "log.h"
#include "status.h"
namespace aicpu {
class SplitVCpuKernel : public CpuKernel {
public:
SplitVCpuKernel() : data_type_(DT_DOUBLE),
split_dim_(0),
num_split_(0),
value_num_(0),
value_data_ptr_(nullptr) {
size_splits_.clear();
output_ptr_vec_.clear();
value_shape_vec_.clear();
}
~SplitVCpuKernel() = default;
uint32_t Compute(CpuKernelContext &ctx) override;
private:
* @brief Init params
* @param ctx cpu kernel context
* @return status if success
*/
uint32_t CheckAndInitParams(const CpuKernelContext &ctx);
* @brief Validate and get num_split attribute
* @param ctx cpu kernel context
* @return status if success
*/
uint32_t ValidateAndGetNumSplit(const CpuKernelContext &ctx);
* @brief Validate and get split_dim input
* @param ctx cpu kernel context
* @return status if success
*/
uint32_t ValidateAndGetSplitDim(const CpuKernelContext &ctx);
* @brief Validate and get value input
* @param ctx cpu kernel context
* @param real_dim output the size of split dimension
* @return status if success
*/
uint32_t ValidateAndGetValue(const CpuKernelContext &ctx, int64_t &real_dim);
* @brief Validate and get size_splits input
* @param ctx cpu kernel context
* @param real_dim total size of dim which be split
* @return status if success
*/
uint32_t ValidateAndGetSizeSplits(const CpuKernelContext &ctx, int64_t real_dim);
* @brief Validate and get all outputs
* @param ctx cpu kernel context
* @return status if success
*/
uint32_t ValidateAndGetOutputs(const CpuKernelContext &ctx);
* @brief get size of each split
* @param size_splits_data_ptr data store split size
* @param real_dim total size of dim which be split
* @return status if success
*/
template <typename T>
uint32_t GetSizeSplits(void *size_splits_data_ptr, int64_t real_dim);
* @brief split data when split num is 1
* @param input_data_ptr ptr which store input data
* @param output_data_vec vector which store all output data ptr
* @return status if success
*/
template <typename T>
uint32_t SplitVWithOneOutput(const T *input_data_ptr,
std::vector<T *> output_data_vec);
* @brief split data when split dim is 0
* @param input_data_ptr ptr which store input data
* @param output_data_vec vector which store all output data ptr
* @return status if success
*/
template <typename T>
uint32_t SplitVWithDimZero(T *input_data_ptr,
std::vector<T *> output_data_vec);
* @brief split data
* @param input_data_ptr ptr which store input data
* @param output_data_vec vector which store all output data ptr
* @return status if success
*/
template <typename T>
uint32_t SplitVCompute(T *input_data_ptr,
std::vector<T *> output_data_vec);
template <typename T>
uint32_t DoCompute();
DataType data_type_;
int32_t split_dim_;
int64_t num_split_;
int64_t value_num_;
void *value_data_ptr_;
std::vector<void *> output_ptr_vec_;
std::vector<int64_t> size_splits_;
std::vector<int64_t> value_shape_vec_;
};
}
#endif