* 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.
*/
#ifndef OP_API_INC_STD_H_
#define OP_API_INC_STD_H_
#include "aclnn/aclnn_base.h"
#include "aclnn_util.h"
#ifdef __cplusplus
extern "C" {
#endif
* @brief aclnnStd的第一段接口,根据具体的计算流程,计算workspace大小。
* @domain aclnn_math
*
* 算子功能:计算样本标准差
*
* 实现说明:
* api计算的基本路径:
* ```mermaid
* graph LR
* D([dim]) --> C([l0op::ReduceMean])
* A[(self)] --> B([l0op::Contiguous])
* B --> C
* E([keepdim=true]) --> C
* C --> H([l0op::Expand])
* J([dim]) --> I
* K([correction]) --> I
* O[(self)] --> I
* P --> I([l0op::ReduceStdWithMean])
* L([keepdim]) --> I
* H --> P[(meanOut)]
* I --> M([l0op::ViewCopy])
* M --> N[(out)]
* ```
*
* @param [in] self: npu
* device侧的aclTensor,数据类型支持FLOAT、BFLOAT16、FLOAT16。数据格式支持ND。支持非连续的Tensor。
* @param [in] dim: host侧的aclIntArray,支持的数据类型为INT32、INT64。
* @param [in] correction: host侧的整形,修正值。
* @param [in] keepdim: host侧的布尔型,是否在输出张量中保留输入张量的维度。
* @param [in] out: npu
* device侧的aclTensor,数据类型支持FLOAT、BFLOAT16、FLOAT16。数据格式支持ND。支持非连续的Tensor。
* @param [out] workspaceSize: 返回用户需要在npu device侧申请的workspace大小。
* @param [out] executor: 返回op执行器,包含算子计算流程。
* @return aclnnStatus: 返回状态码。
*/
ACLNN_API aclnnStatus aclnnStdGetWorkspaceSize(const aclTensor* self, const aclIntArray* dim, const int64_t correction,
bool keepdim, aclTensor* out, uint64_t* workspaceSize,
aclOpExecutor** executor);
* @brief aclnnStd的第二段接口,用于执行计算。
*
* 算子功能:计算样本标准差
*
* 实现说明:
* api计算的基本路径:
* ```mermaid
* graph LR
* D([dim]) --> C([l0op::ReduceMean])
* A[(self)] --> B([l0op::Contiguous])
* B --> C
* E([keepdim=true]) --> C
* C --> H([l0op::Expand])
* J([dim]) --> I
* K([correction]) --> I
* O[(self)] --> I
* P --> I([l0op::ReduceStdWithMean])
* L([keepdim]) --> I
* H --> P[(meanOut)]
* I --> M([l0op::ViewCopy])
* M --> N[(out)]
* ```
*
* @param [in] workspace: 在npu device侧申请的workspace内存起址。
* @param [in] workspaceSize: 在npu device侧申请的workspace大小,由第一段接口aclnnSubGetWorkspaceSize获取。
* @param [in] executor: op执行器,包含了算子计算流程。
* @param [in] stream: acl stream流。
* @return aclnnStatus: 返回状态码。
*/
ACLNN_API aclnnStatus aclnnStd(void* workspace, uint64_t workspaceSize, aclOpExecutor* executor,
const aclrtStream stream);
#ifdef __cplusplus
}
#endif
#endif