/**
 * Copyright (c) 2025 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 cumsum_cube.cpp
 * \brief
 */
#include "cumsum_cube.h"
#include "opdev/make_op_executor.h"
#include "opdev/op_dfx.h"
#include "opdev/op_executor.h"
#include "opdev/op_log.h"

using namespace op;

namespace l0op {
OP_TYPE_REGISTER(CumsumCube);
const aclTensor *CumsumCube(const aclTensor *self, int64_t dim, aclOpExecutor *executor) {
  L0_DFX(CumsumCube, self, dim);
  // 根据输入shape申请输出tensor
  auto out = executor->AllocTensor(self->GetViewShape(), self->GetDataType(), Format::FORMAT_ND);
  if (out == nullptr) {
    OP_LOGE(ACLNN_ERR_INNER_NULLPTR, "alloc out tensor failed.");
    return nullptr;
  }
  auto ret = ADD_TO_LAUNCHER_LIST_AICORE(CumsumCube, OP_INPUT(self), OP_OUTPUT(out), OP_ATTR(dim));
  OP_CHECK(ret == ACL_SUCCESS, OP_LOGE(ACLNN_ERR_INNER_NULLPTR, "CumsumCube ADD_TO_LAUNCHER_LIST_AICORE failed."), return nullptr);
  return out;
}
}  // namespace l0op